From b0437908a2df93271296dd388b0747363811a42f Mon Sep 17 00:00:00 2001 From: Eduard van Valkenburg Date: Fri, 18 Sep 2026 10:36:20 +0000 Subject: [PATCH 01/30] Python: Refresh dependencies and restore Python 3.15 resolution (#8505) * Python: Restrict Hyperlight to Python 3.14 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Refresh development dependencies Consolidate the open Python dependency updates, remove pandas from the shared development environment, and update checker compatibility. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Keep pandas sample-local Allow sample type checkers to validate the PEP 723 script without requiring pandas in the shared development environment. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Gate Hyperlight backend below 3.15 Keep the Hyperlight connector compatible with the workspace Python range while installing the native Wasm backend only where wheels are published. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Python: Gate Psycopg binary below 3.15 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- python/packages/ag-ui/tests/ag_ui/test_run.py | 4 +- .../packages/core/agent_framework/_agents.py | 6 +- .../core/agent_framework/_sessions.py | 2 +- .../core/agent_framework/observability.py | 2 +- python/packages/core/pyproject.toml | 2 +- python/packages/declarative/pyproject.toml | 2 +- .../foundry_hosting/tests/test_responses.py | 38 +- python/packages/hyperlight/README.md | 7 +- python/packages/hyperlight/pyproject.toml | 2 +- python/packages/lab/pyproject.toml | 6 +- python/packages/lab/uv.lock | 999 ++--- .../_magentic.py | 4 +- python/packages/postgres/README.md | 3 + python/packages/postgres/pyproject.toml | 3 +- python/pyproject.toml | 17 +- .../vector_stores/optimized_data_formats.py | 2 +- python/uv.lock | 3495 +++++++++-------- 17 files changed, 2434 insertions(+), 2160 deletions(-) diff --git a/python/packages/ag-ui/tests/ag_ui/test_run.py b/python/packages/ag-ui/tests/ag_ui/test_run.py index ca72a071d59..566b407088e 100644 --- a/python/packages/ag-ui/tests/ag_ui/test_run.py +++ b/python/packages/ag-ui/tests/ag_ui/test_run.py @@ -1748,8 +1748,8 @@ def test_tool_only_flow_produces_balanced_events(self): all_events.append(event) # Step 4: End of stream - emit final TextMessageEndEvent - if flow.message_id: - all_events.append(TextMessageEndEvent(message_id=flow.message_id)) + assert flow.message_id is not None + all_events.append(TextMessageEndEvent(message_id=flow.message_id)) # Verify event counts start_events = [e for e in all_events if isinstance(e, TextMessageStartEvent)] diff --git a/python/packages/core/agent_framework/_agents.py b/python/packages/core/agent_framework/_agents.py index 205d44b35c6..d9dcac20abf 100644 --- a/python/packages/core/agent_framework/_agents.py +++ b/python/packages/core/agent_framework/_agents.py @@ -1727,7 +1727,7 @@ async def _log(level: types.LoggingLevel, data: Any) -> None: logger.error("Failed to send log message to server: %s", e) @server.list_tools() - async def _list_tools() -> list[types.Tool]: # type: ignore + async def _list_tools() -> list[types.Tool]: """List all tools in the agent.""" schema = agent_tool.parameters() @@ -1741,7 +1741,7 @@ async def _list_tools() -> list[types.Tool]: # type: ignore return [tool] @server.call_tool() - async def _call_tool( # type: ignore + async def _call_tool( name: str, arguments: dict[str, Any] ) -> Sequence[types.TextContent | types.ImageContent | types.AudioContent | types.EmbeddedResource]: """Call a tool in the agent.""" @@ -1784,7 +1784,7 @@ async def _call_tool( # type: ignore return mcp_content or [types.TextContent(type="text", text="")] @server.set_logging_level() - async def _set_logging_level(level: types.LoggingLevel) -> None: # type: ignore + async def _set_logging_level(level: types.LoggingLevel) -> None: """Set the logging level for the server.""" logger.setLevel(LOG_LEVEL_MAPPING[level]) # emit this log with the new minimum level diff --git a/python/packages/core/agent_framework/_sessions.py b/python/packages/core/agent_framework/_sessions.py index dc09f82ca49..2dad178ef69 100644 --- a/python/packages/core/agent_framework/_sessions.py +++ b/python/packages/core/agent_framework/_sessions.py @@ -1100,7 +1100,7 @@ def _current_run_identity() -> object | None: # pyright: ignore[reportUnusedFun @contextlib.contextmanager -def _run_identity_scope(identity: object) -> Generator[None]: # pyright: ignore[reportUnusedFunction] +def _run_identity_scope(identity: object) -> Generator[None]: """Stamp ``identity`` as the current run identity for the enclosed extent.""" token = _CURRENT_RUN_IDENTITY.set(identity) try: diff --git a/python/packages/core/agent_framework/observability.py b/python/packages/core/agent_framework/observability.py index fc911223ef9..0290b916eec 100644 --- a/python/packages/core/agent_framework/observability.py +++ b/python/packages/core/agent_framework/observability.py @@ -138,7 +138,7 @@ @contextlib.contextmanager -def _use_telemetry_conversation_id( # pyright: ignore[reportUnusedFunction] +def _use_telemetry_conversation_id( conversation_id: str | None, ) -> Generator[None]: """Set an application-managed OTel conversation id for the current execution.""" diff --git a/python/packages/core/pyproject.toml b/python/packages/core/pyproject.toml index c1ff2524d59..1b1ba9bc77f 100644 --- a/python/packages/core/pyproject.toml +++ b/python/packages/core/pyproject.toml @@ -53,7 +53,7 @@ all = [ "agent-framework-foundry-local", "agent-framework-gemini", "agent-framework-github-copilot; python_version >= '3.11'", - "agent-framework-hyperlight; (sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine == 'AMD64')", + "agent-framework-hyperlight; python_version < '3.15' and ((sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine == 'AMD64'))", "agent-framework-mem0", "agent-framework-mistral", "agent-framework-monty", diff --git a/python/packages/declarative/pyproject.toml b/python/packages/declarative/pyproject.toml index 590beaae548..2b8bcfd1166 100644 --- a/python/packages/declarative/pyproject.toml +++ b/python/packages/declarative/pyproject.toml @@ -29,7 +29,7 @@ dependencies = [ ] [dependency-groups] dev = [ - "types-PyYaml==6.0.12.20260518" + "types-PyYaml==6.0.12.20260906" ] [tool.uv] diff --git a/python/packages/foundry_hosting/tests/test_responses.py b/python/packages/foundry_hosting/tests/test_responses.py index dc712b1d223..d1ea6a0e068 100644 --- a/python/packages/foundry_hosting/tests/test_responses.py +++ b/python/packages/foundry_hosting/tests/test_responses.py @@ -2691,20 +2691,19 @@ async def test_shell_call_output(self) -> None: OutputItemFunctionShellCallOutput, ) - item = OutputItemFunctionShellCallOutput({ + output: FunctionShellCallOutputContent = { + "stdout": "file.txt", + "stderr": "", + "outcome": cast(FunctionShellCallOutputExitOutcome, {"exit_code": 0}), + } + item: OutputItemFunctionShellCallOutput = { "type": "shell_call_output", "id": "sco-1", "call_id": "call_sc", "status": "completed", - "output": [ - FunctionShellCallOutputContent({ - "stdout": "file.txt", - "stderr": "", - "outcome": cast(FunctionShellCallOutputExitOutcome, {"exit_code": 0}), - }) - ], + "output": [output], "max_output_length": 1024, - }) + } msg = await _output_item_to_message(item) assert msg.role == "tool" assert msg.contents[0].type == "shell_tool_result" @@ -3232,23 +3231,22 @@ async def test_shell_call(self) -> None: async def test_shell_call_output(self) -> None: from azure.ai.agentserver.responses.models import ( - FunctionShellCallOutputContent, - FunctionShellCallOutputExitOutcome, + FunctionShellCallOutputContentParam, + FunctionShellCallOutputExitOutcomeParam, FunctionShellCallOutputItemParam, ) - item = FunctionShellCallOutputItemParam({ + output: FunctionShellCallOutputContentParam = { + "stdout": "file.txt", + "stderr": "", + "outcome": cast(FunctionShellCallOutputExitOutcomeParam, {"exit_code": 0}), + } + item: FunctionShellCallOutputItemParam = { "type": "shell_call_output", "call_id": "call_sc", - "output": [ - FunctionShellCallOutputContent({ - "stdout": "file.txt", - "stderr": "", - "outcome": cast(FunctionShellCallOutputExitOutcome, {"exit_code": 0}), - }) - ], + "output": [output], "max_output_length": 1024, - }) + } msg = await _item_to_message(item) assert msg is not None assert msg.role == "tool" diff --git a/python/packages/hyperlight/README.md b/python/packages/hyperlight/README.md index f64930b9b3f..ecd8bedfd5c 100644 --- a/python/packages/hyperlight/README.md +++ b/python/packages/hyperlight/README.md @@ -9,9 +9,10 @@ pip install agent-framework-hyperlight --pre ``` This package depends on `hyperlight-sandbox`, the packaged Python guest, and the -Wasm backend package on supported platforms. If the backend is not published for -your current platform yet, `execute_code` will fail at runtime when it tries to -create the sandbox. +Wasm backend package on supported platforms. The backend is currently installed +for Python 3.10 through 3.14. If a compatible backend is not published for your +current platform and Python version, `execute_code` will fail at runtime when it +tries to create the sandbox. ## Quick start diff --git a/python/packages/hyperlight/pyproject.toml b/python/packages/hyperlight/pyproject.toml index a27de3b439d..d47739cddd5 100644 --- a/python/packages/hyperlight/pyproject.toml +++ b/python/packages/hyperlight/pyproject.toml @@ -25,7 +25,7 @@ classifiers = [ dependencies = [ "agent-framework-core>=1.19.0,<2", "hyperlight-sandbox>=0.7.0,<0.8", - "hyperlight-sandbox-backend-wasm>=0.7.0,<0.8 ; (sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine == 'AMD64')", + "hyperlight-sandbox-backend-wasm>=0.7.0,<0.8 ; python_version < '3.15' and ((sys_platform == 'linux' and platform_machine == 'x86_64') or (sys_platform == 'win32' and platform_machine == 'AMD64'))", "hyperlight-sandbox-python-guest>=0.7.0,<0.8", ] diff --git a/python/packages/lab/pyproject.toml b/python/packages/lab/pyproject.toml index 000f2617e73..02b55613b0e 100644 --- a/python/packages/lab/pyproject.toml +++ b/python/packages/lab/pyproject.toml @@ -58,8 +58,8 @@ math = [ [dependency-groups] dev = [ "agent-framework-openai>=1.14.2,<2", - "uv==0.12.12", - "ruff==0.16.6", + "uv==0.12.13", + "ruff==0.16.7", "pytest==9.1.1", "pytest-asyncio==1.4.0", "pytest-cov==7.1.0", @@ -67,7 +67,7 @@ dev = [ "pyright==1.1.414", #tasks "poethepoet==0.48.0", - "rich>=13.7.1,<15.0.0", + "rich>=13.7.1,<16.0.0", "tomli==2.4.1", "tomli-w==1.2.0", "prek==0.5.2", diff --git a/python/packages/lab/uv.lock b/python/packages/lab/uv.lock index c43034ae57d..3f26d38382b 100644 --- a/python/packages/lab/uv.lock +++ b/python/packages/lab/uv.lock @@ -27,6 +27,9 @@ supported-markers = [ "sys_platform == 'win32'", ] +[options] +prerelease-mode = "if-necessary" + [manifest] constraints = [ { name = "fastapi-sso", specifier = ">=0.19.0" }, @@ -52,11 +55,11 @@ name = "agent-framework-core" version = "1.18.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "msgspec" }, - { name = "opentelemetry-api" }, - { name = "pydantic" }, - { name = "python-dotenv" }, - { name = "typing-extensions" }, + { name = "msgspec", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "python-dotenv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/2e/6e/e0d661f1770bf3a6d70248c5964e684d2bb648b253d53f3dca315f393535/agent_framework_core-1.18.0.tar.gz", hash = "sha256:ef84e1ec570036b81a93a9e924bc4281380f6240ab9bddb8a2db7669282032b0", size = 652594, upload-time = "2026-09-10T09:29:19.938Z" } wheels = [ @@ -68,52 +71,52 @@ name = "agent-framework-lab" version = "1.0.0b260910" source = { editable = "." } dependencies = [ - { name = "agent-framework-core" }, + { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] [package.optional-dependencies] gaia = [ - { name = "huggingface-hub" }, - { name = "opentelemetry-api" }, - { name = "opentelemetry-sdk" }, - { name = "orjson" }, - { name = "pyarrow" }, - { name = "pydantic" }, - { name = "tqdm" }, + { name = "huggingface-hub", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "orjson", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pyarrow", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] lightning = [ - { name = "agentlightning" }, + { name = "agentlightning", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] math = [ - { name = "sympy" }, + { name = "sympy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] tau2 = [ - { name = "loguru" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.11.*'" }, - { name = "numpy", version = "2.5.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" }, - { name = "pydantic" }, - { name = "tiktoken" }, + { name = "loguru", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.11.*' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform == 'win32')" }, + { name = "numpy", version = "2.5.3", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.12' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')" }, + { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "tiktoken", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] [package.dev-dependencies] dev = [ - { name = "agent-framework-openai" }, - { name = "mypy" }, - { name = "poethepoet" }, - { name = "prek" }, - { name = "pyright" }, - { name = "pytest" }, - { name = "pytest-asyncio" }, - { name = "pytest-cov" }, - { name = "rich" }, - { name = "ruff" }, - { name = "tomli" }, - { name = "tomli-w" }, - { name = "uv" }, + { name = "agent-framework-openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "mypy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "poethepoet", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "prek", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pyright", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pytest-asyncio", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pytest-cov", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "rich", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "ruff", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "tomli", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "tomli-w", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "uv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] tau2 = [ - { name = "tau2" }, + { name = "tau2", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] [package.metadata] @@ -145,11 +148,11 @@ dev = [ { name = "pytest", specifier = "==9.1.1" }, { name = "pytest-asyncio", specifier = "==1.4.0" }, { name = "pytest-cov", specifier = "==7.1.0" }, - { name = "rich", specifier = ">=13.7.1,<15.0.0" }, - { name = "ruff", specifier = "==0.16.6" }, + { name = "rich", specifier = ">=13.7.1,<16.0.0" }, + { name = "ruff", specifier = "==0.16.7" }, { name = "tomli", specifier = "==2.4.1" }, { name = "tomli-w", specifier = "==1.2.0" }, - { name = "uv", specifier = "==0.12.12" }, + { name = "uv", specifier = "==0.12.13" }, ] tau2 = [{ name = "tau2", git = "https://github.com/sierra-research/tau2-bench?rev=5ba9e3e56db57c5e4114bf7f901291f09b2c5619" }] @@ -158,8 +161,8 @@ name = "agent-framework-openai" version = "1.14.3" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "agent-framework-core" }, - { name = "openai" }, + { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/6d/7c/6ef5b4b2e5fd8ab4750c41edaca6755694a7574e4b884c3cbdffa0a1846a/agent_framework_openai-1.14.3.tar.gz", hash = "sha256:187587bb1026f0989bbfcbb1f94e058103cbfc5066006d4b82d4c00f94469a53", size = 63541, upload-time = "2026-09-10T09:29:28.72Z" } wheels = [ @@ -171,26 +174,26 @@ name = "agentlightning" version = "0.3.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "agentops" }, - { name = "aiohttp" }, - { name = "aiologic" }, - { name = "fastapi" }, - { name = "flask" }, - { name = "gpustat" }, - { name = "graphviz" }, - { name = "gunicorn" }, - { name = "litellm", extra = ["proxy"] }, - { name = "openai" }, - { name = "opentelemetry-api" }, - { name = "opentelemetry-exporter-otlp" }, - { name = "opentelemetry-sdk" }, - { name = "portpicker" }, - { name = "psutil" }, - { name = "pydantic" }, - { name = "rich" }, - { name = "setproctitle" }, - { name = "uvicorn", extra = ["standard"] }, - { name = "uvicorn-worker" }, + { name = "agentops", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "aiohttp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "aiologic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "fastapi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "flask", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "gpustat", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "graphviz", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "gunicorn", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "litellm", extra = ["proxy"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-exporter-otlp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "portpicker", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "psutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "rich", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "setproctitle", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "uvicorn", extra = ["standard"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "uvicorn-worker", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/b2/8f/1bed06f70d52ba4b2ed698605fa955a82ee5aaec3addee5a21e3fd7cd0cb/agentlightning-0.3.0.tar.gz", hash = "sha256:35cd702bce54ff7c8c097d8e73aaf688c6649e4ee81e6e5e0379000465b75d43", size = 1345454, upload-time = "2025-12-24T01:49:31.24Z" } wheels = [ @@ -202,20 +205,20 @@ name = "agentops" version = "0.4.21" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "aiohttp" }, - { name = "httpx" }, - { name = "opentelemetry-api" }, - { name = "opentelemetry-exporter-otlp-proto-http" }, - { name = "opentelemetry-instrumentation" }, - { name = "opentelemetry-sdk" }, - { name = "opentelemetry-semantic-conventions" }, - { name = "ordered-set" }, - { name = "packaging" }, - { name = "psutil" }, - { name = "pyyaml" }, - { name = "requests" }, - { name = "termcolor" }, - { name = "wrapt" }, + { name = "aiohttp", marker = 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== 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "msal-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/c5/0e/3a63efb48aa4a5ae2cfca61ee152fbcb668092134d3eb8bfda472dd5c617/azure_identity-1.25.3.tar.gz", hash = "sha256:ab23c0d63015f50b630ef6c6cf395e7262f439ce06e5d07a64e874c724f8d9e6", size = 286304, upload-time = "2026-03-13T01:12:20.892Z" } wheels = [ @@ -569,10 +572,10 @@ name = "azure-storage-blob" version = "12.30.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "azure-core" }, - { name = "cryptography" }, - { name = "isodate" }, - { name = "typing-extensions" }, + { name = "azure-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "cryptography", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "isodate", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/39/7e/834d7bfcf999ab89d1bd3a5d235ece6824686da2f3d315e2162c613fe43d/azure_storage_blob-12.30.1.tar.gz", hash = "sha256:7a24f978c51d56a0375beebffcbe8453e59ae390d2695705848edc75083e4184", size = 624787, upload-time = "2026-08-27T19:12:54.967Z" } wheels = [ @@ -602,8 +605,8 @@ name = "blessed" version = "1.49.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "jinxed" }, - { name = "wcwidth" }, + { name = "jinxed", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "wcwidth", marker = "sys_platform == 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version = "2.2.6", source = { registry = "https://pypi.org/simple" } }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/66/54/eb9bfc647b19f2009dd5c7f5ec51c4e6ca831725f1aea7a993034f483147/contourpy-1.3.2.tar.gz", hash = "sha256:b6945942715a034c671b7fc54f9588126b0b8bf23db2696e3ca8328f3ff0ab54", size = 13466130, upload-time = "2025-04-15T17:47:53.79Z" } wheels = [ @@ -1165,8 +1168,8 @@ resolution-markers = [ "python_full_version == '3.11.*' and sys_platform == 'win32'", ] dependencies = [ - { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "numpy", version = "2.5.3", source = { registry = 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[package.optional-dependencies] toml = [ - { name = "tomli", marker = "python_full_version <= '3.11'" }, + { name = "tomli", marker = "(python_full_version <= '3.11' and sys_platform == 'darwin') or (python_full_version <= '3.11' and sys_platform == 'linux') or (python_full_version <= '3.11' and sys_platform == 'win32')" }, ] [[package]] @@ -1381,7 +1384,7 @@ name = "croniter" version = "6.2.4" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "python-dateutil" }, + { name = "python-dateutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/37/57/2e2a65aee2a70483cb28e2b7e15a072d00a523207593b44400d4717bb100/croniter-6.2.4.tar.gz", hash = "sha256:fc124f751b1b04805c2a04b061898b436b45ab2320b045e1e052ea895de65189", size = 166267, upload-time = "2026-07-10T09:52:59.955Z" } wheels = [ @@ -1393,8 +1396,8 @@ name = "cryptography" version = "50.0.1" source = { 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[ - { name = "blessed" }, - { name = "nvidia-ml-py" }, - { name = "psutil" }, + { name = "blessed", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "nvidia-ml-py", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "psutil", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/79/c4/46d005aec3bf911cb030467d91e062a5386ff4a03e51874424cacc0f60c1/gpustat-1.1.1.tar.gz", hash = "sha256:c18d3ed5518fc16300c42d694debc70aebb3be55cae91f1db64d63b5fa8af9d8", size = 98052, upload-time = "2023-08-22T19:39:06.062Z" } @@ -1897,7 +1900,7 @@ name = "granian" version = "2.8.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "click" }, + { name = "click", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = 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name = "packaging" }, + { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/34/72/9614c465dc206155d93eff0ca20d42e1e35afc533971379482de953521a4/gunicorn-23.0.0.tar.gz", hash = "sha256:f014447a0101dc57e294f6c18ca6b40227a4c90e9bdb586042628030cba004ec", size = 375031, upload-time = "2024-08-10T20:25:27.378Z" } wheels = [ @@ -2203,8 +2206,8 @@ name = "httpcore" version = "1.0.9" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "certifi" }, - { name = "h11" }, + { name = "certifi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "h11", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = 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= "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/9b/f0/61159db90b5cd275d55516fe27920828e7d3be4053fdbdb27c3f70e5f1ef/huggingface_hub-1.31.0.tar.gz", hash = "sha256:f8e9e710a210613fa5d0f26bba6da05ef4aef9fba5a0f23f508f5ac4d08b6f90", size = 968039, upload-time = "2026-09-10T10:27:22.724Z" } wheels = [ @@ -2319,7 +2322,7 @@ name = "importlib-metadata" version = "8.9.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - 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or sys_platform == 'win32'" }, + { name = "jsonschema-specifications", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "referencing", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "rpds-py", version = "0.30.0", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "rpds-py", version = "2026.6.3", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, ] sdist = { url = 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"https://pypi.org/simple" } dependencies = [ - { name = "backoff" }, - { name = "httpx" }, - { name = "opentelemetry-api" }, - { name = "opentelemetry-exporter-otlp-proto-http" }, - { name = "opentelemetry-sdk" }, - { name = "packaging" }, - { name = "pydantic" }, - { name = "typing-extensions" }, - { name = "wrapt" }, + { name = "backoff", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "httpx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-exporter-otlp-proto-http", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "opentelemetry-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "packaging", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "wrapt", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/c2/51/ed5569bc2dcc8fe767e3b315207a7511ad23d00d811f02bbf0d6f80bf906/langfuse-4.15.1.tar.gz", hash = "sha256:70cb47529a6ba78383c4f2a197eb3d3ab9d39529c9e6b568d392150c1f40dbb9", size = 432353, upload-time = "2026-08-28T07:55:15.894Z" } wheels = [ @@ -2841,20 +2844,20 @@ name = "litellm" version = "1.100.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "aiohttp" }, - { name = "boto3" }, - { name = "click" }, - { name = "fastuuid" }, - { name = "httpx" }, - { name = "importlib-metadata" }, - { name = "jinja2" }, - { name = "jsonschema" }, - { name = "openai" }, - { name = "pydantic" }, - { name = "pydantic-settings" }, - { name = "python-dotenv" }, - { name = "tiktoken" }, - { name = "tokenizers" }, + { name = "aiohttp", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "boto3", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "click", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "fastuuid", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "httpx", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "importlib-metadata", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "jinja2", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "jsonschema", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "openai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pydantic-settings", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "python-dotenv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "tiktoken", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "tokenizers", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/03/ce/1e1ce2558f65244057c0c40c60ade4dfa3767da3522bf1dd8679507ad7ba/litellm-1.100.0.tar.gz", hash = "sha256:ece94e817a453a5b3a9517c03547c428d501cea719edb728c1b260e53f78ea35", size = 17287857, upload-time = "2026-09-06T00:22:46.023Z" } wheels = [ @@ -2869,37 +2872,37 @@ wheels = [ [package.optional-dependencies] proxy = [ - { name = "apscheduler" }, - { name = "azure-identity" }, - { name = "azure-storage-blob" }, - { name = "backoff" }, - { name = "boto3" }, - { name = "cryptography" }, - { name = "expression" }, - { name = "fastapi" }, - { name = "fastapi-sso" }, - { name = "granian" }, - { name = "gunicorn" }, - { name = "hiredis" }, - { name = "inquirerpy" }, - { name = "litellm-enterprise" }, - { name = "litellm-proxy-extras" }, - { name = "mcp", extra = ["ws"] }, - { name = "orjson" }, - { name = "polars" }, - { name = "pyjwt" }, - { name = "pynacl" }, - { name = "pyroscope-io", marker = "sys_platform != 'win32'" }, - { name = 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sys_platform == 'win32'" }, + { name = "expression", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "fastapi", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "fastapi-sso", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "granian", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "gunicorn", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "hiredis", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "inquirerpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "litellm-enterprise", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "litellm-proxy-extras", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "mcp", extra = ["ws"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "orjson", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "polars", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pyjwt", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pynacl", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pyroscope-io", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, + { name = "python-multipart", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "restrictedpython", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "rich", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "rq", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "soundfile", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "starlette", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "uvicorn", extra = ["standard"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "uvloop", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, + { name = "websockets", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] [[package]] @@ -2938,7 +2941,7 @@ name = "markdown-it-py" version = "4.2.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "mdurl" }, + { name = "mdurl", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/06/ff/7841249c247aa650a76b9ee4bbaeae59370dc8bfd2f6c01f3630c35eb134/markdown_it_py-4.2.0.tar.gz", hash = "sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49", size = 82454, upload-time = "2026-05-07T12:08:28.36Z" } wheels = [ @@ -3040,15 +3043,15 @@ resolution-markers = [ "python_full_version < '3.11' and sys_platform == 'win32'", ] dependencies = [ - { name = "contourpy", version = "1.3.2", source = { registry = "https://pypi.org/simple" } }, - { name = "cycler" }, - { name = "fonttools" }, - { name = "kiwisolver" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" } }, - { name = "packaging" }, - { name = "pillow" }, - { name = "pyparsing" }, - { name = "python-dateutil" }, + { name = "contourpy", version = "1.3.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "cycler", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "fonttools", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "kiwisolver", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "packaging", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "pillow", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "pyparsing", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "python-dateutil", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/63/1b/4be5be87d43d327a0cf4de1a56e86f7f84c89312452406cf122efe2839e6/matplotlib-3.10.9.tar.gz", hash = "sha256:fd66508e8c6877d98e586654b608a0456db8d7e8a546eb1e2600efd957302358", size = 34811233, upload-time = "2026-04-24T00:14:13.539Z" } wheels = [ @@ -3130,16 +3133,16 @@ resolution-markers = [ "python_full_version == '3.11.*' and sys_platform == 'win32'", ] dependencies = [ - { name = "contourpy", version = "1.3.3", source = { registry = "https://pypi.org/simple" } }, - { name = "cycler" }, - { name = "fonttools" }, - { name = "kiwisolver" }, - { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" }, - { name = "numpy", version = "2.5.3", source = { registry = 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sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version == '3.11.*' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform == 'win32')" }, + { name = "numpy", version = "2.5.3", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.12' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'win32')" }, + { name = "packaging", marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, + { name = "pillow", marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, + { name = "pyparsing", marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, + { name = "python-dateutil", marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/49/64/f9a391af28f518b11ad45a8a712353c94a0aefce09d3703200e5c54b610a/matplotlib-3.11.1.tar.gz", hash = "sha256:69647db5746941c793d6e445a4cd349323ffb87d9cc958c2ad84a659b4832d30", size = 32612045, upload-time = "2026-07-18T03:39:46.63Z" } wheels = [ @@ -3195,20 +3198,20 @@ name = "mcp" version = 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'win32'" }, + { name = "pyjwt", extra = ["crypto"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "python-multipart", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pywin32", marker = "sys_platform == 'win32'" }, - { name = "sse-starlette" }, - { name = "starlette" }, - { name = "typing-extensions" }, - { name = "typing-inspection" }, - { name = "uvicorn", extra = ["standard"] }, + { name = "sse-starlette", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "starlette", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-inspection", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = 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= "pyjwt", extra = ["crypto"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "requests", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/b8/1f/10f9d47a63d3a2e61b2c43e15bee6b95682aab827018f9a1b97a80787e25/msal-1.38.0.tar.gz", hash = "sha256:4f10ff1257bacfd1781f22e85bd2b8d43ad1b490f3b6aafd7906671cadedd464", size = 203411, upload-time = "2026-08-24T10:22:46.053Z" } wheels = [ @@ -3257,7 +3260,7 @@ name = "msal-extensions" version = "1.3.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "msal" }, + { name = "msal", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/01/99/5d239b6156eddf761a636bded1118414d161bd6b7b37a9335549ed159396/msal_extensions-1.3.1.tar.gz", hash = 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sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/82/6a/878cc1097d4035f82bd516658d0c528d2a9955bc7b363afcbd0b07fea11b/mypy-2.3.1.tar.gz", hash = "sha256:47c1b1207258513a9d93495f69c8be9de73916186f0e52703e8c461b7a623419", size = 3992554, upload-time = "2026-08-15T03:03:38.549Z" } wheels = [ @@ -3813,14 +3816,14 @@ name = "openai" version = "2.54.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "anyio" }, - { name = "distro" }, - { name = "httpx" }, - { name = "jiter" }, - { name = "pydantic" }, - { name = "sniffio" }, - { name = "tqdm" }, - { name = "typing-extensions" }, + { name = "anyio", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "distro", marker = "sys_platform == 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sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "requests", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/1a/87/95e2a5aaa795b4e2260d74e16df2d5541deb2ea9de010bcd615f4dee2654/opentelemetry_exporter_otlp_proto_http-1.44.0.tar.gz", hash = "sha256:c633d7270ad6b57cd4cfbe8b0007a9e2e7c0cb50bd6c50fe2a7b245f721a09d8", size = 25806, upload-time = "2026-07-16T15:25:39.162Z" } wheels = [ @@ -3905,10 +3908,10 @@ name = "opentelemetry-instrumentation" version = "0.65b0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "opentelemetry-api" }, - { name = "opentelemetry-semantic-conventions" }, - { name = "packaging" }, - { name = "wrapt" }, + { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 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dependencies = [ - { name = "click" }, - { name = "h11" }, - { name = "typing-extensions", marker = "python_full_version < '3.11'" }, + { name = "click", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "h11", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "typing-extensions", marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f2/0f/3f86e61397dd33bf2ccf28188c40db6a740658aeebbbf6e7dbc101a1f487/uvicorn-0.52.4.tar.gz", hash = "sha256:73acfee47a0b133c5de13d219492d62d8a31e935f4fe6e41a232451a15379f86", size = 100627, upload-time = "2026-08-19T06:27:41.821Z" } wheels = [ @@ -6454,12 +6457,12 @@ wheels = [ [package.optional-dependencies] standard = [ - { name = "httptools" }, - { 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dependencies = [ - { name = "idna" }, - { name = "multidict" }, - { name = "propcache" }, + { name = "idna", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "multidict", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "propcache", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/31/33/ebe9e3d1f86c7a0b51094c0a146392045ca1631d2664889539dec8088a33/yarl-1.24.5.tar.gz", hash = "sha256:e81b83143bee16329c23db3c1b2d82b29892fcbcb849186d2f6e98a5abe9a57f", size = 228679, upload-time = "2026-07-20T02:07:45.435Z" } wheels = [ diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py b/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py index 0b2598f8852..a4218c2798b 100644 --- a/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py +++ b/python/packages/orchestrations/agent_framework_orchestrations/_magentic.py @@ -1419,7 +1419,7 @@ def __init__( task_ledger_plan_update_prompt: str | None = None, progress_ledger_prompt: str | None = None, final_answer_prompt: str | None = None, - max_stall_count: int | Sentinel = UNSET, # type: ignore[reportArgumentType] + max_stall_count: int | Sentinel = UNSET, max_reset_count: int | None = None, max_round_count: int | None = None, # Existing params @@ -1632,7 +1632,7 @@ def _set_manager( progress_ledger_prompt: str | None = None, final_answer_prompt: str | None = None, # Limits - max_stall_count: int | Sentinel = UNSET, # type: ignore[reportArgumentType] + max_stall_count: int | Sentinel = UNSET, max_reset_count: int | None = None, max_round_count: int | None = None, ) -> None: diff --git a/python/packages/postgres/README.md b/python/packages/postgres/README.md index 84766241c9c..2db7240b46c 100644 --- a/python/packages/postgres/README.md +++ b/python/packages/postgres/README.md @@ -16,6 +16,9 @@ pip install agent-framework-postgres --pre Requires Python 3.10+, PostgreSQL 13+, and pgvector 0.8.0+. Import the connector directly from `agent_framework_postgres`. +Python 3.10 through 3.14 install Psycopg's binary distribution. Python 3.15+ +uses the pure-Python implementation because binary wheels are not yet +published, so a system `libpq` installation is required. ## Connection setup diff --git a/python/packages/postgres/pyproject.toml b/python/packages/postgres/pyproject.toml index 4814f362d63..08b08142938 100644 --- a/python/packages/postgres/pyproject.toml +++ b/python/packages/postgres/pyproject.toml @@ -23,7 +23,8 @@ classifiers = [ ] dependencies = [ "agent-framework-core>=1.18.0,<2", - "psycopg[binary,pool]>=3.3.5,<4", + "psycopg[binary,pool]>=3.3.5,<4 ; python_version < '3.15'", + "psycopg[pool]>=3.3.5,<4 ; python_version >= '3.15'", "pgvector>=0.5.0,<0.6", ] diff --git a/python/pyproject.toml b/python/pyproject.toml index 407de675551..58b1cefe148 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -28,9 +28,9 @@ dependencies = [ [dependency-groups] dev = [ - "uv==0.12.9", - "flit==4.0.2", - "ruff==0.16.6", + "uv==0.12.16", + "flit==4.1.0", + "ruff==0.16.7", "pytest==9.1.1", "pytest-asyncio==1.4.0", "pytest-cov==7.1.0", @@ -38,18 +38,17 @@ dev = [ "pytest-timeout==2.4.0", "pytest-retry==1.7.0", "mypy==2.3.1", - "pyright==1.1.411", - "pyrefly==1.2.0", - "ty==0.0.78", + "pyright==1.1.414", + "pyrefly==1.3.0", + "ty==0.0.80", "zuban==0.9.3", "opentelemetry-sdk", - "pandas>=2,<4", #tasks "poethepoet==0.48.0", "rich>=13.7.1,<16.0.0", "tomli==2.4.1", - "prek==0.5.2", - "griffe==2.2.0", + "prek==0.5.3", + "griffe==2.3.0", ] test = [ "azure-monitor-opentelemetry", diff --git a/python/samples/02-agents/vector_stores/optimized_data_formats.py b/python/samples/02-agents/vector_stores/optimized_data_formats.py index a80693d5e5b..95d3beda060 100644 --- a/python/samples/02-agents/vector_stores/optimized_data_formats.py +++ b/python/samples/02-agents/vector_stores/optimized_data_formats.py @@ -20,7 +20,7 @@ from typing import Annotated, Any, cast import numpy as np -import pandas as pd # pyright: ignore[reportMissingImports] +import pandas as pd # pyright: ignore[reportMissingImports] # pyrefly: ignore[missing-import] # ty: ignore[unresolved-import] from agent_framework import ( VectorStoreCollectionDefinition, VectorStoreField, diff --git a/python/uv.lock b/python/uv.lock index 27783a3ef46..6d615f5919e 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -3,19 +3,19 @@ revision = 3 requires-python = ">=3.11" resolution-markers = [ "python_full_version >= '3.15' and sys_platform == 'darwin'", - "python_full_version >= '3.15' and sys_platform == 'linux'", - "python_full_version >= '3.15' and sys_platform == 'win32'", "python_full_version == '3.14.*' and sys_platform == 'darwin'", - "python_full_version == '3.14.*' and sys_platform == 'linux'", - "python_full_version == '3.14.*' and sys_platform == 'win32'", "python_full_version == '3.13.*' and sys_platform == 'darwin'", - "python_full_version == '3.13.*' and sys_platform == 'linux'", - "python_full_version == '3.13.*' and sys_platform == 'win32'", "python_full_version == '3.12.*' and sys_platform == 'darwin'", - "python_full_version == '3.12.*' and sys_platform == 'linux'", - "python_full_version == '3.12.*' and sys_platform == 'win32'", "python_full_version < '3.12' and sys_platform == 'darwin'", + "python_full_version >= '3.15' and sys_platform == 'linux'", + "python_full_version == '3.14.*' and sys_platform == 'linux'", + "python_full_version == '3.13.*' and sys_platform == 'linux'", + "python_full_version == '3.12.*' and sys_platform == 'linux'", "python_full_version < '3.12' and sys_platform == 'linux'", + "python_full_version >= '3.15' and sys_platform == 'win32'", + "python_full_version == '3.14.*' and sys_platform == 'win32'", + "python_full_version == '3.13.*' and sys_platform == 'win32'", + "python_full_version == '3.12.*' and sys_platform == 'win32'", "python_full_version < '3.12' and sys_platform == 'win32'", ] supported-markers = [ @@ -77,7 +77,7 @@ overrides = [ [[package]] name = "a2a-sdk" -version = "1.1.2" +version = "1.1.4" source = { registry = 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== 'win32'" }, { name = "pyrefly", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -158,15 +157,14 @@ requires-dist = [{ name = "agent-framework-core", extras = ["all"], editable = " [package.metadata.requires-dev] dev = [ - { name = "flit", specifier = "==4.0.2" }, - { name = "griffe", specifier = "==2.2.0" }, + { name = "flit", specifier = "==4.1.0" }, + { name = "griffe", specifier = "==2.3.0" }, { name = "mypy", specifier = "==2.3.1" }, { name = "opentelemetry-sdk" }, - { name = "pandas", specifier = ">=2,<4" }, { name = "poethepoet", specifier = "==0.48.0" }, - { name = "prek", specifier = "==0.5.2" }, - { name = "pyrefly", specifier = "==1.2.0" }, - { name = "pyright", specifier = "==1.1.411" }, + { name = "prek", specifier = "==0.5.3" }, + { name = "pyrefly", specifier = "==1.3.0" }, + { name = "pyright", specifier = "==1.1.414" }, { name = "pytest", specifier = "==9.1.1" }, { name = "pytest-asyncio", specifier = "==1.4.0" }, { name = "pytest-cov", specifier = "==7.1.0" }, @@ -174,10 +172,10 @@ dev = [ { name = "pytest-timeout", specifier = "==2.4.0" }, { name = "pytest-xdist", extras = ["psutil"], specifier = "==3.8.0" }, { name = "rich", specifier = ">=13.7.1,<16.0.0" }, - { name = "ruff", specifier = "==0.16.6" }, + { name = "ruff", specifier = "==0.16.7" }, { name = "tomli", specifier = "==2.4.1" }, - { name = "ty", specifier = "==0.0.78" }, - { name = "uv", specifier = "==0.12.9" }, + { name = "ty", specifier = "==0.0.80" }, + { name = "uv", specifier = "==0.12.16" }, { name = "zuban", specifier = "==0.9.3" }, ] test = [ @@ -474,7 +472,7 @@ all = [ { name = "agent-framework-foundry-local", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-gemini", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-github-copilot", marker = "sys_platform == 'darwin' or sys_platform == 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50ae88bb818..b2d906d2538 100644 --- a/dotnet/src/Microsoft.Agents.AI/Harness/ToolApproval/ToolApprovalAgent.cs +++ b/dotnet/src/Microsoft.Agents.AI/Harness/ToolApproval/ToolApprovalAgent.cs @@ -162,6 +162,10 @@ protected override async Task RunCoreAsync( // were already stripped — the empty response the loop exists to avoid. var cappedResponse = await this.InnerAgent.RunAsync(processedMessages, session, options, cancellationToken).ConfigureAwait(false); + // Any approval requests in this turn go straight to the caller, so record them as surfaced. + // Without this, a legitimate always-approve response to them could not be bound. + this.RecordSurfacedApprovalRequestsFromMessages(cappedResponse.Messages, state, session); + // This turn is still part of the same run, so its usage joins the aggregate rather // than replacing it; otherwise hitting the cap would discard every prior turn's cost. UsageAggregator.Accumulate(ref aggregatedUsage, cappedResponse.Usage); @@ -231,8 +235,43 @@ protected override async IAsyncEnumerable RunCoreStreamingA { // Cap reached: take one final turn without auto-approving again. Updates are yielded // as-is, so any approval request reaches the caller to decide instead of continuing. + // Those requests are recorded as surfaced so a legitimate always-approve response binds. + bool recordedAnyCappedRequest = false; + await foreach (var update in this.InnerAgent.RunStreamingAsync(processedMessages, session, options, cancellationToken).ConfigureAwait(false)) { + // Record before yielding: a consumer may stop enumerating as soon as it sees an approval + // request, which disposes this iterator and skips anything after the loop. The record must + // already be persisted by the time the caller can act on the request. + List? cappedRequests = null; + foreach (var content in update.Contents) + { + if (content is ToolApprovalRequestContent cappedRequest) + { + (cappedRequests ??= []).Add(cappedRequest); + } + } + + if (cappedRequests is not null) + { + // The first update carrying requests supersedes any earlier batch; later updates in this + // same turn add to it, since every one of them reaches the caller. + if (recordedAnyCappedRequest) + { + foreach (var cappedRequest in cappedRequests) + { + RecordSurfacedApprovalRequest(state, cappedRequest); + } + } + else + { + ResetSurfacedApprovalRequests(state, cappedRequests); + recordedAnyCappedRequest = true; + } + + this._sessionState.SaveState(session, state); + } + yield return update; } @@ -328,12 +367,12 @@ protected override async IAsyncEnumerable RunCoreStreamingA } // 5. Queue excess unapproved requests and yield only the first to the caller. + // Only the yielded request is recorded as surfaced; queued requests are recorded when + // they are later dequeued and presented. + ResetSurfacedApprovalRequests(state, [unapproved[0]]); + if (unapproved.Count > 1) { - // Record every unapproved request as surfaced so the caller's responses can be bound to a - // model-originated request during the queue cycle. - RecordSurfacedApprovalRequests(state, unapproved); - state.QueuedApprovalRequests.AddRange(unapproved.GetRange(1, unapproved.Count - 1)); } @@ -344,99 +383,72 @@ protected override async IAsyncEnumerable RunCoreStreamingA } /// - /// Extracts instances from the caller's messages - /// and collects the ones bound to a request the harness surfaced into - /// . - /// Extracted responses are removed from the messages in-place. Only a response whose request id matches a - /// surfaced request is honored, and a matched response has its tool call rebound to the surfaced request's - /// tool call so an approved call matches exactly what was surfaced for approval. + /// Records every found in the given messages as surfaced to the caller. /// - private static void CollectApprovalResponsesFromMessages( - List messages, - ToolApprovalState state) + /// + /// Used when a response is handed back without approval processing (the auto-approval cap path), where the + /// requests still reach the caller and must therefore be bindable. + /// + private void RecordSurfacedApprovalRequestsFromMessages( + IList responseMessages, + ToolApprovalState state, + AgentSession? session) { - var surfaced = state.SurfacedApprovalRequests; + List? requests = null; - // Walk messages in reverse so we can safely remove by index. - for (int i = messages.Count - 1; i >= 0; i--) + foreach (var message in responseMessages) { - var message = messages[i]; - - // Quick check: does this message contain any approval responses? - bool hasApprovalResponse = false; - foreach (var content in message.Contents) - { - if (content is ToolApprovalResponseContent) - { - hasApprovalResponse = true; - break; - } - } - - if (!hasApprovalResponse) - { - continue; - } - - // Separate bound approval responses (→ state) from other content (→ keep in message). - // Responses not tied to a surfaced request are not collected, so only genuine approvals take effect. - var remaining = new List(message.Contents.Count); foreach (var content in message.Contents) { - if (content is ToolApprovalResponseContent response) + if (content is ToolApprovalRequestContent request) { - // Remove on match so a matched request is consumed and a duplicate response for the - // same request in this pass is honored only once. - if (surfaced.TryGetValue(response.RequestId, out var surfacedRequest)) - { - surfaced.Remove(response.RequestId); - - // Rebind to the surfaced request's tool call and record for injection. - state.CollectedApprovalResponses.Add( - new ToolApprovalResponseContent(response.RequestId, response.Approved, surfacedRequest.ToolCall) - { - Reason = response.Reason, - }); - } - - // Bound responses are collected above; either way the response is not kept in the message. - } - else - { - remaining.Add(content); + (requests ??= []).Add(request); } } + } - // Remove the message entirely if it only contained approval responses, - // otherwise replace it with a clone that has the approval responses stripped. - if (remaining.Count == 0) - { - messages.RemoveAt(i); - } - else - { - var cloned = message.Clone(); - cloned.Contents = remaining; - messages[i] = cloned; - } + if (requests is not null) + { + ResetSurfacedApprovalRequests(state, requests); + this._sessionState.SaveState(session, state); } } /// - /// Records the given approval requests as surfaced to the caller, keyed by request id. + /// Replaces the recorded set of surfaced approval requests with a new batch returned by the inner agent. /// A snapshot of each request is stored so later mutation of the caller-visible instance cannot change /// the recorded tool call used to bind the response. /// - private static void RecordSurfacedApprovalRequests(ToolApprovalState state, IReadOnlyList requests) + /// + /// A new batch from the inner agent supersedes any previous one, so stale entries from an abandoned + /// approval cycle cannot later authorize a standing rule. + /// + /// Request ids are unique by construction, so keying by id loses nothing: they derive from tool call ids, and + /// inference services correlate a tool call to its result by that id alone. A duplicate id would already have + /// broken that correlation upstream. Nothing a caller sends reaches this dictionary — every entry originates + /// from the inner agent's own response — so a caller cannot manufacture a collision here. + /// + /// + private static void ResetSurfacedApprovalRequests(ToolApprovalState state, IReadOnlyList requests) { - // SurfacedApprovalRequests is empty here: this is called when a response comes back from the inner - // agent, which cannot happen while approval requests are outstanding. + state.SurfacedApprovalRequests.Clear(); + foreach (var request in requests) { state.SurfacedApprovalRequests[request.RequestId] = SnapshotRequest(request); } } + /// + /// Records a single approval request as surfaced to the caller, keyed by request id. + /// + /// + /// Used when dequeuing a previously queued request. Existing entries are preserved because every request in + /// an in-flight queue cycle belongs to the same batch and may still be awaiting a response. + /// + private static void RecordSurfacedApprovalRequest(ToolApprovalState state, ToolApprovalRequestContent request) => + state.SurfacedApprovalRequests[request.RequestId] = SnapshotRequest(request); + /// /// Creates a snapshot of an approval request so a later mutation of the caller-visible instance /// (for example changing the tool call arguments) cannot alter the recorded request used for binding. @@ -485,7 +497,8 @@ private async ValueTask DrainAutoApprovableFromQueueAsync( /// /// Performs the common inbound processing shared by both the streaming and non-streaming paths: /// - /// Unwraps wrappers, extracting standing rules. + /// Binds wrappers to surfaced approval requests, + /// extracting standing rules only from requests the harness actually issued. /// If there are queued approval requests from a previous batch, collects the caller's responses, /// drains any items now resolvable by new rules, and dequeues the next item if any remain. /// @@ -499,18 +512,19 @@ private async ValueTask DrainAutoApprovableFromQueueAsync( { var state = this._sessionState.GetOrInitializeState(session); - // 1. Unwrap any AlwaysApprove wrappers in the caller's messages. - // This extracts standing approval rules into state and replaces wrappers with plain responses. - var callerMessages = UnwrapAlwaysApproveResponses(messages, state, this._jsonSerializerOptions); + // During a queue cycle the caller's messages are not forwarded to the inner agent on this turn, so a bound + // response must be collected into state instead of being left in the messages. + bool queueCycleActive = state.QueuedApprovalRequests.Count > 0; + + // 1. Bind any approval responses in the caller's messages to a surfaced approval request. + // This consumes the matching request, extracts standing approval rules into state, and replaces + // wrappers with plain responses. An unbound response creates no rule and is forwarded as-is. + var callerMessages = BindApprovalResponses(messages, state, this._jsonSerializerOptions, queueCycleActive); // 2. If there are queued approval requests from a previous batch, handle them // before calling the inner agent. - if (state.QueuedApprovalRequests.Count > 0) + if (queueCycleActive) { - // Collect the caller's approval/denial responses for the previously dequeued item - // and store them in state for the next downstream call. - CollectApprovalResponsesFromMessages(callerMessages, state); - // Re-evaluate remaining queued items — the caller may have added new rules // (e.g., "always approve this tool") that resolve additional items. await this.DrainAutoApprovableFromQueueAsync(state, session, options, messages).ConfigureAwait(false); @@ -520,14 +534,25 @@ private async ValueTask DrainAutoApprovableFromQueueAsync( // More items remain — dequeue the next one for the caller. var next = state.QueuedApprovalRequests[0]; state.QueuedApprovalRequests.RemoveAt(0); + + // Record it as surfaced only now that it is actually being presented, so a response cannot + // be bound to a request the caller has not yet seen. + RecordSurfacedApprovalRequest(state, next); + this._sessionState.SaveState(session, state); return (state, callerMessages, next); } // Queue fully resolved — caller should proceed to call the inner agent. - // Surfaced requests are consumed as their responses are collected in - // CollectApprovalResponsesFromMessages, so nothing should remain here. + // Every request surfaced during this cycle must have been answered by now: the queue presents + // one request at a time, each is recorded as surfaced only when presented and consumed when its + // response arrives, and items auto-approved out of the queue were never surfaced at all. The + // inner agent call that follows sends the whole batch to the inference service, which requires + // every outstanding tool call to carry a result, so an unanswered surfaced request here is a + // broken conversation rather than a state worth preserving. Debug.Assert(state.SurfacedApprovalRequests.Count == 0, "Surfaced approval requests should be empty once the queue is resolved."); + + this._sessionState.SaveState(session, state); } return (state, callerMessages, null); @@ -609,9 +634,16 @@ private async ValueTask ProcessAndQueueOutboundApprovalRequestsAsync( } // Nothing to process: no auto-approved items and at most one unapproved (no queueing needed). - // No responses were collected above in this case, so state is unmodified and safe to leave. if (autoApprovedCount == 0 && unapproved.Count <= 1) { + // The single unapproved request is still returned to the caller, so record it as surfaced. + // Without this, a legitimate always-approve response to it could not be bound. + if (unapproved.Count == 1) + { + ResetSurfacedApprovalRequests(state, unapproved); + this._sessionState.SaveState(session, state); + } + return false; } @@ -624,15 +656,15 @@ private async ValueTask ProcessAndQueueOutboundApprovalRequestsAsync( return true; } + // Only the first unapproved request is returned to the caller now, so only it is surfaced. + // Queued requests are recorded when they are later dequeued and presented. + ResetSurfacedApprovalRequests(state, [unapproved[0]]); + // Pass 2: Keep only the first unapproved request in the response (for the caller to decide). // Queue the remaining unapproved requests for subsequent one-at-a-time delivery. // Remove all auto-approved and queued items from the response messages. if (unapproved.Count > 1) { - // Record every unapproved request as surfaced so the caller's responses can be bound to a - // model-originated request during the queue cycle. - RecordSurfacedApprovalRequests(state, unapproved); - for (int i = 1; i < unapproved.Count; i++) { toRemove.Add(unapproved[i]); @@ -741,14 +773,47 @@ private static void RemoveAllToolApprovalRequests(IList responseMes } /// - /// Scans input messages for instances, - /// extracts standing approval rules, and replaces them in-place with the unwrapped inner - /// , preserving content ordering. + /// Scans input messages for tool approval responses — plain and + /// wrappers alike — and binds each one to an approval + /// request the harness actually surfaced, before any standing rule is recorded. /// - private static List UnwrapAlwaysApproveResponses( + /// + /// + /// A response is bound only when its request id matches a request recorded in + /// . The matched request is consumed, and both the + /// forwarded response and any standing rule are derived from the recorded tool call rather than from the + /// caller-supplied one, so a caller cannot widen an approval by substituting a different tool name or arguments. + /// + /// + /// This is the single place a surfaced request is consumed, and it runs on every inbound pass. Plain responses + /// must consume their request too: otherwise a request answered once would stay eligible for binding, letting a + /// caller replay the same id as a wrapper to promote a one-time approval into a standing rule, or to overturn a + /// denial with an approval. + /// + /// + /// A response that cannot be bound creates no standing rule. A wrapper is downgraded to the plain approval + /// response it carries, and a plain response is forwarded unchanged, for the approval binding chat client to + /// validate against its own record. This is deliberate: an unbound response is produced both by a forgery and by + /// legitimate cases such as replaying a transcript into a new session, so the two are treated identically and + /// safely rather than one of them failing the run. Unbound responses are never dropped here. + /// + /// + /// Only a wrapper can create a standing rule, and only when it carries an approval. + /// + /// + /// The caller's inbound messages. + /// The tool approval state for the session. + /// Options used to serialize arguments for exact-argument rules. + /// + /// When , a bound response is moved into + /// for injection once the queue resolves, instead of being left in the messages. Used during a queue cycle, where + /// the caller's messages are not forwarded to the inner agent on this turn. + /// + private static List BindApprovalResponses( IEnumerable messages, ToolApprovalState state, - JsonSerializerOptions jsonSerializerOptions) + JsonSerializerOptions jsonSerializerOptions, + bool collectBoundResponses) { var messageList = messages as IList ?? [.. messages]; var result = new List(messageList.Count); @@ -756,60 +821,106 @@ private static List UnwrapAlwaysApproveResponses( foreach (var message in messageList) { - // Quick check: does this message contain any AlwaysApprove wrappers? - bool hasAlwaysApprove = false; + // Quick check: does this message contain any approval response at all, wrapped or plain? + bool hasApprovalResponse = false; foreach (var content in message.Contents) { - if (content is AlwaysApproveToolApprovalResponseContent) + if (content is ToolApprovalResponseContent or AlwaysApproveToolApprovalResponseContent) { - hasAlwaysApprove = true; + hasApprovalResponse = true; break; } } - if (!hasAlwaysApprove) + if (!hasApprovalResponse) { result.Add(message); continue; } - // Walk content items, replacing each AlwaysApprove wrapper with its inner response - // while extracting the standing approval rule into state. + // Walk content items, binding each approval response to a surfaced request before + // recording any standing rule. var newContents = new List(message.Contents.Count); foreach (var content in message.Contents) { - if (content is AlwaysApproveToolApprovalResponseContent alwaysApprove) + // Unwrap so plain and wrapped responses share one binding decision. Only a wrapper can + // carry a standing rule, so the wrapper itself is kept to consult its flags after binding. + var alwaysApprove = content as AlwaysApproveToolApprovalResponseContent; + var innerResponse = alwaysApprove?.InnerResponse ?? content as ToolApprovalResponseContent; + + if (innerResponse is null) + { + newContents.Add(content); + continue; + } + + // Security boundary: an approval may only be honored against a request this agent surfaced and is + // still awaiting a response for. Remove on match so a surfaced request authorizes at most one + // response; without this a one-time approval could be replayed as a wrapper and silently promoted + // to a standing rule, and a denied request could be re-answered with an approval. + // + // An unmatched response is NOT an error. It legitimately occurs when a transcript is replayed to + // re-seed a new session, when a stateless caller resends history, or when no session store is + // configured. It is also what a forged response looks like. The two are indistinguishable from here, + // so both are handled the same safe way: no standing rule is created, and a wrapper is downgraded + // to the plain approval response it carries. That response is not honored here either; it is + // forwarded unchanged for ApprovalResponseBindingChatClient to validate against its own record. + if (!state.SurfacedApprovalRequests.TryGetValue(innerResponse.RequestId, out var surfacedRequest)) + { + newContents.Add(innerResponse); + continue; + } + + state.SurfacedApprovalRequests.Remove(innerResponse.RequestId); + + // Rebind to the recorded tool call so the approved call is exactly what was surfaced. + var boundResponse = new ToolApprovalResponseContent( + innerResponse.RequestId, + innerResponse.Approved, + surfacedRequest.ToolCall) { - // Extract and store the standing approval rule. - if (alwaysApprove.InnerResponse.ToolCall is FunctionCallContent toolCall) + Reason = innerResponse.Reason, + }; + + // Only an approval carried by a wrapper creates a standing rule. A denial, or a plain response + // answering only this one request, is a legitimate answer that records nothing. + if (alwaysApprove is not null && innerResponse.Approved && surfacedRequest.ToolCall is FunctionCallContent recordedCall) + { + if (alwaysApprove.AlwaysApproveTool) { - if (alwaysApprove.AlwaysApproveTool) - { - AddRuleIfNotExists(state, new ToolApprovalRule { ToolName = toolCall.Name }); - } - else if (alwaysApprove.AlwaysApproveToolWithArguments) + AddRuleIfNotExists(state, new ToolApprovalRule { ToolName = recordedCall.Name }); + } + else if (alwaysApprove.AlwaysApproveToolWithArguments) + { + AddRuleIfNotExists(state, new ToolApprovalRule { - AddRuleIfNotExists(state, new ToolApprovalRule - { - ToolName = toolCall.Name, - Arguments = SerializeArguments(toolCall.Arguments, jsonSerializerOptions), - }); - } + ToolName = recordedCall.Name, + Arguments = SerializeArguments(recordedCall.Arguments, jsonSerializerOptions), + }); } + } - // Replace the wrapper with the unwrapped inner response, preserving position. - newContents.Add(alwaysApprove.InnerResponse); + if (collectBoundResponses) + { + // Queue cycle: hold the response for injection once every queued request is resolved. + state.CollectedApprovalResponses.Add(boundResponse); } else { - newContents.Add(content); + // Replace the response with the bound one, preserving position. + newContents.Add(boundResponse); } } // Clone the original message so all metadata is preserved, then replace contents. - var clonedMessage = message.Clone(); - clonedMessage.Contents = newContents; - result.Add(clonedMessage); + // A message left empty by collecting its responses is dropped. + if (newContents.Count > 0) + { + var clonedMessage = message.Clone(); + clonedMessage.Contents = newContents; + result.Add(clonedMessage); + } + anyModified = true; } diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Harness/ToolApproval/ToolApprovalAgentTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Harness/ToolApproval/ToolApprovalAgentTests.cs index b24f7338dff..ad785d0e9e2 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Harness/ToolApproval/ToolApprovalAgentTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Harness/ToolApproval/ToolApprovalAgentTests.cs @@ -21,6 +21,50 @@ public class ToolApprovalAgentTests private static ToolAutoApprovalRuleContext CreateRuleContext(FunctionCallContent functionCall) => new(functionCall, new Mock().Object, session: null, requestMessages: [], agentRunOptions: null); + /// + /// Surfaces to the caller through a throwaway agent on the shared + /// , so the harness records it as a request it actually issued. + /// + /// + /// Approval state lives in the session, so a throwaway agent leaves the call counts of the mock + /// under test untouched while still recording the surfaced request. + /// + private static async Task SurfaceApprovalRequestAsync(AgentSession session, ToolApprovalRequestContent request) + { + var surfacingAgent = new ToolApprovalAgent( + CreateMockAgent(new AgentResponse([new ChatMessage(ChatRole.Assistant, [request])])).Object); + + await surfacingAgent.RunAsync([new ChatMessage(ChatRole.User, "surface approval request")], session); + } + + /// + /// Establishes a standing approval rule the way a real caller must: the harness first surfaces + /// to the caller, and only then does the caller answer it with an + /// "always approve" response bound to that surfaced request. + /// + /// + /// A standing rule can only be created from a request the agent actually issued, so tests cannot + /// establish one by fabricating a request and wrapping it. + /// + private static async Task EstablishStandingRuleAsync( + AgentSession session, + ToolApprovalRequestContent request, + bool withArguments = false, + string? reason = null) + { + await SurfaceApprovalRequestAsync(session, request); + + // Answer it with the always-approve wrapper, which now binds to the surfaced request. + var wrapper = withArguments + ? request.CreateAlwaysApproveToolWithArgumentsResponse(reason) + : request.CreateAlwaysApproveToolResponse(reason); + + var respondingAgent = new ToolApprovalAgent( + CreateMockAgent(new AgentResponse([new ChatMessage(ChatRole.Assistant, "rule recorded")])).Object); + + await respondingAgent.RunAsync([new ChatMessage(ChatRole.User, [wrapper])], session); + } + #region Constructor /// @@ -156,9 +200,9 @@ public async Task RunAsync_ToolLevelRule_DeferredAutoApproveAsync() var agent = new ToolApprovalAgent(innerAgent.Object); // Call 1: send always-approve → establishes rule, inner returns TARc → auto-approved → re-calls inner - var alwaysApproveResponse = approvalRequest.CreateAlwaysApproveToolResponse("User said always"); + await EstablishStandingRuleAsync(session, approvalRequest, reason: "User said always"); var response1 = await agent.RunAsync( - [new ChatMessage(ChatRole.User, [alwaysApproveResponse])], + [new ChatMessage(ChatRole.User, "Do something")], session); // Assert — inner agent was called twice within the same RunAsync call @@ -207,10 +251,7 @@ public async Task RunAsync_ToolWithArgsRule_DeferredAutoApproveAsync() var agent = new ToolApprovalAgent(innerAgent.Object); // Call 1: set up the rule - var alwaysApproveResponse = approvalRequest.CreateAlwaysApproveToolWithArgumentsResponse(); - await agent.RunAsync( - [new ChatMessage(ChatRole.User, [alwaysApproveResponse])], - session); + await EstablishStandingRuleAsync(session, approvalRequest, withArguments: true); // Call 2: pending auto-approval injected var response = await agent.RunAsync( @@ -233,7 +274,6 @@ public async Task RunAsync_ToolWithArgsRule_DoesNotAutoApproveDifferentArgsAsync // Set up rule with args { path: "test.txt" } var ruleArgs = new Dictionary { ["path"] = "test.txt" }; var ruleRequest = new ToolApprovalRequestContent("req0", new FunctionCallContent("call0", "ReadFile", ruleArgs)); - var alwaysApproveResponse = ruleRequest.CreateAlwaysApproveToolWithArgumentsResponse(); // Then the inner agent returns an approval for DIFFERENT args var differentArgs = new Dictionary { ["path"] = "other.txt" }; @@ -251,9 +291,10 @@ public async Task RunAsync_ToolWithArgsRule_DoesNotAutoApproveDifferentArgsAsync .ReturnsAsync(approvalResponseMsg); var agent = new ToolApprovalAgent(innerAgent.Object); + await EstablishStandingRuleAsync(session, ruleRequest, withArguments: true); var inputMessages = new List { - new(ChatRole.User, [alwaysApproveResponse]), + new(ChatRole.User, "Read another file"), }; // Act @@ -278,7 +319,6 @@ public async Task RunAsync_EmptyArgsToolWithArgsRule_DoesNotAutoApproveCallWithA // Approve a no-argument SendPayment call with "always approve with exact arguments". var ruleRequest = new ToolApprovalRequestContent("req0", new FunctionCallContent("call0", "SendPayment")); - var alwaysApproveResponse = ruleRequest.CreateAlwaysApproveToolWithArgumentsResponse(); // The inner agent then requests SendPayment WITH sensitive arguments. var sensitiveArgs = new Dictionary @@ -291,9 +331,10 @@ public async Task RunAsync_EmptyArgsToolWithArgsRule_DoesNotAutoApproveCallWithA var innerAgent = CreateMockAgent(approvalResponseMsg); var agent = new ToolApprovalAgent(innerAgent.Object); + await EstablishStandingRuleAsync(session, ruleRequest, withArguments: true); var inputMessages = new List { - new(ChatRole.User, [alwaysApproveResponse]), + new(ChatRole.User, "Send a payment"), }; // Act @@ -317,7 +358,6 @@ public async Task RunAsync_EmptyArgsToolWithArgsRule_AutoApprovesLaterEmptyArgsC var session = new ChatClientAgentSession(); var ruleRequest = new ToolApprovalRequestContent("req0", new FunctionCallContent("call0", "SendPayment")); - var alwaysApproveResponse = ruleRequest.CreateAlwaysApproveToolWithArgumentsResponse(); // Inner agent first re-requests SendPayment with no arguments, then returns a final response. var emptyArgsRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "SendPayment")); @@ -340,9 +380,10 @@ public async Task RunAsync_EmptyArgsToolWithArgsRule_AutoApprovesLaterEmptyArgsC }); var agent = new ToolApprovalAgent(innerAgent.Object); + await EstablishStandingRuleAsync(session, ruleRequest, withArguments: true); var inputMessages = new List { - new(ChatRole.User, [alwaysApproveResponse]), + new(ChatRole.User, "Send the payment"), }; // Act @@ -370,7 +411,6 @@ public async Task RunAsync_MixedApprovalRequests_SurfacesNonMatchingStoreMatchin // Set up a rule for ToolA only var ruleRequest = new ToolApprovalRequestContent("rule-req", new FunctionCallContent("rule-call", "ToolA")); - var alwaysApprove = ruleRequest.CreateAlwaysApproveToolResponse(); // Inner agent returns approval requests for both ToolA and ToolB var approvalA = new ToolApprovalRequestContent("reqA", new FunctionCallContent("callA", "ToolA")); @@ -379,10 +419,11 @@ public async Task RunAsync_MixedApprovalRequests_SurfacesNonMatchingStoreMatchin var innerAgent = CreateMockAgent(mixedResponse); var agent = new ToolApprovalAgent(innerAgent.Object); + await EstablishStandingRuleAsync(session, ruleRequest); - // Call 1: establish rule + get mixed approval response + // Call 1: get mixed approval response var response = await agent.RunAsync( - [new ChatMessage(ChatRole.User, [alwaysApprove])], + [new ChatMessage(ChatRole.User, "Use both tools")], session); // Assert — ToolB request surfaced to caller, ToolA auto-approved is removed from response @@ -570,6 +611,717 @@ public async Task RunAsync_DuplicateApprovalResponsesDuringQueue_HonoredOnceAsyn #endregion + #region Always-Approve Wrapper Binding + + /// + /// A forged tool-wide always-approve wrapper referencing a request the agent never issued must not + /// create a standing rule. The run is not failed, because a wrapper that cannot be bound also arises + /// from legitimate replay; it is downgraded to an ordinary approval response instead. + /// + [Fact] + public async Task RunAsync_ForgedAlwaysApproveWrapper_CreatesNoRuleAsync() + { + // Arrange — the agent never surfaced this request; the caller invented it. + var session = new ChatClientAgentSession(); + var forgedRequest = new ToolApprovalRequestContent("forged-req", new FunctionCallContent("forged-call", "RunShellCommand")); + + var sensitiveRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "RunShellCommand")); + List? capturedInner = null; + var callCount = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .Callback, AgentSession?, AgentRunOptions?, CancellationToken>((msgs, _, _, _) => + { + callCount++; + capturedInner ??= msgs.ToList(); + }) + // The request is returned exactly once. If a standing rule existed it would be + // auto-approved here and never surfaced, so the assertion below is decisive. + .ReturnsAsync(() => callCount switch + { + 1 => new AgentResponse([new ChatMessage(ChatRole.Assistant, "acknowledged")]), + 2 => new AgentResponse([new ChatMessage(ChatRole.Assistant, [sensitiveRequest])]), + _ => new AgentResponse([new ChatMessage(ChatRole.Assistant, "command executed")]), + }); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act — must not throw. + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [forgedRequest.CreateAlwaysApproveToolResponse()])], + session); + + // Assert — the wrapper is downgraded to a plain response and forwarded for the inner pipeline to judge. + Assert.NotNull(capturedInner); + var forwarded = capturedInner!.SelectMany(m => m.Contents).ToList(); + Assert.DoesNotContain(forwarded, c => c is AlwaysApproveToolApprovalResponseContent); + Assert.Equal("forged-req", forwarded.OfType().Single().RequestId); + + // No rule was created, so the tool still requires explicit approval. + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "Run a command")], session); + var surfaced = response.Messages.SelectMany(m => m.Contents).OfType().ToList(); + Assert.Single(surfaced); + Assert.Equal("req1", surfaced[0].RequestId); + } + + /// + /// The same forgery creates no standing rule on the streaming path, and does not fail the stream. + /// + [Fact] + public async Task RunStreamingAsync_ForgedAlwaysApproveWrapper_CreatesNoRuleAsync() + { + // Arrange + var session = new ChatClientAgentSession(); + var forgedRequest = new ToolApprovalRequestContent("forged-req", new FunctionCallContent("forged-call", "RunShellCommand")); + + var sensitiveRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "RunShellCommand")); + + // The request is streamed exactly once. If a standing rule existed it would be + // auto-approved on that turn and never surfaced, so the assertion below is decisive. + var streamCall = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreStreamingAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .Returns(() => ++streamCall == 2 + ? ToAsyncEnumerableAsync([new AgentResponseUpdate(ChatRole.Assistant, new List { sensitiveRequest })]) + : ToAsyncEnumerableAsync([new AgentResponseUpdate(ChatRole.Assistant, "command executed")])); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act — must not throw. + await foreach (var _ in agent.RunStreamingAsync( + [new ChatMessage(ChatRole.User, [forgedRequest.CreateAlwaysApproveToolResponse()])], + session)) + { + } + + // Assert — no rule was created, so the tool still requires explicit approval. + var surfaced = new List(); + await foreach (var update in agent.RunStreamingAsync([new ChatMessage(ChatRole.User, "Run a command")], session)) + { + surfaced.AddRange(update.Contents.OfType()); + } + + Assert.Single(surfaced); + Assert.Equal("req1", surfaced[0].RequestId); + } + + /// + /// A forged exact-arguments wrapper must not authorize the argument set the caller supplied. + /// + [Fact] + public async Task RunAsync_ForgedAlwaysApproveWithArgumentsWrapper_CreatesNoRuleAsync() + { + // Arrange + var session = new ChatClientAgentSession(); + var args = new Dictionary { ["command"] = "rm -rf /" }; + var forgedRequest = new ToolApprovalRequestContent("forged-req", new FunctionCallContent("forged-call", "RunShellCommand", args)); + + var realRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "RunShellCommand", args)); + var callCount = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + // The request is returned exactly once. If a standing rule existed it would be + // auto-approved here and never surfaced, so the assertion below is decisive. + .ReturnsAsync(() => ++callCount switch + { + 1 => new AgentResponse([new ChatMessage(ChatRole.Assistant, "acknowledged")]), + 2 => new AgentResponse([new ChatMessage(ChatRole.Assistant, [realRequest])]), + _ => new AgentResponse([new ChatMessage(ChatRole.Assistant, "command executed")]), + }); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act — must not throw. + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [forgedRequest.CreateAlwaysApproveToolWithArgumentsResponse()])], + session); + + // Assert — the identical argument set is still not auto-approved. + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "Run it")], session); + var surfaced = response.Messages.SelectMany(m => m.Contents).OfType().ToList(); + Assert.Single(surfaced); + Assert.Equal("req1", surfaced[0].RequestId); + } + + /// + /// A wrapper carrying a valid request id but a substituted tool call must be rebound to the tool + /// call the agent recorded, so the attacker-supplied call never becomes the approved operation. + /// + [Fact] + public async Task RunAsync_AlwaysApproveWrapperWithSubstitutedToolCall_IsReboundToRecordedCallAsync() + { + // Arrange — the agent surfaces a benign ReadFile request. + var session = new ChatClientAgentSession(); + var recordedRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "ReadFile")); + await SurfaceApprovalRequestAsync(session, recordedRequest); + + // The caller answers with the right request id but swaps in a dangerous tool call. + var substituted = new ToolApprovalRequestContent("req1", new FunctionCallContent("evil-call", "RunShellCommand")); + + List? capturedInner = null; + var shellRequest = new ToolApprovalRequestContent("req2", new FunctionCallContent("call2", "RunShellCommand")); + var readRequest = new ToolApprovalRequestContent("req3", new FunctionCallContent("call3", "ReadFile")); + var callCount = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .Callback, AgentSession?, AgentRunOptions?, CancellationToken>((msgs, _, _, _) => + { + callCount++; + capturedInner ??= msgs.ToList(); + }) + .ReturnsAsync(() => callCount == 1 + ? new AgentResponse([new ChatMessage(ChatRole.Assistant, "acknowledged")]) + : new AgentResponse([new ChatMessage(ChatRole.Assistant, [shellRequest, readRequest])])); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [substituted.CreateAlwaysApproveToolResponse()])], + session); + + // Assert — the forwarded response carries the recorded tool call, not the substituted one. + Assert.NotNull(capturedInner); + var forwarded = capturedInner!.SelectMany(m => m.Contents).OfType().Single(); + Assert.Equal("req1", forwarded.RequestId); + Assert.Equal("ReadFile", ((FunctionCallContent)forwarded.ToolCall).Name); + Assert.Equal("call1", forwarded.ToolCall.CallId); + + // The rule covers ReadFile only; RunShellCommand still surfaces for approval. + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "Do both")], session); + var surfaced = response.Messages.SelectMany(m => m.Contents).OfType().ToList(); + Assert.Single(surfaced); + Assert.Equal("RunShellCommand", ((FunctionCallContent)surfaced[0].ToolCall).Name); + } + + /// + /// A bound wrapper carrying a denial is a legitimate user action: the denial is forwarded, no + /// standing rule is created, and no exception is raised. + /// + [Fact] + public async Task RunAsync_BoundAlwaysApproveWrapperWithDenial_CreatesNoRuleAsync() + { + // Arrange + var session = new ChatClientAgentSession(); + var recordedRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "RunShellCommand")); + await SurfaceApprovalRequestAsync(session, recordedRequest); + + var denial = new AlwaysApproveToolApprovalResponseContent( + recordedRequest.CreateResponse(approved: false), + alwaysApproveTool: true, + alwaysApproveToolWithArguments: false); + + List? capturedInner = null; + var nextRequest = new ToolApprovalRequestContent("req2", new FunctionCallContent("call2", "RunShellCommand")); + var callCount = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .Callback, AgentSession?, AgentRunOptions?, CancellationToken>((msgs, _, _, _) => + { + callCount++; + capturedInner ??= msgs.ToList(); + }) + // The request is returned exactly once. If a standing rule existed it would be + // auto-approved here and never surfaced, so the assertion below is decisive. + .ReturnsAsync(() => callCount switch + { + 1 => new AgentResponse([new ChatMessage(ChatRole.Assistant, "acknowledged")]), + 2 => new AgentResponse([new ChatMessage(ChatRole.Assistant, [nextRequest])]), + _ => new AgentResponse([new ChatMessage(ChatRole.Assistant, "command executed")]), + }); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act — must not throw. + await agent.RunAsync([new ChatMessage(ChatRole.User, [denial])], session); + + // Assert — the denial is forwarded as a plain response. + Assert.NotNull(capturedInner); + var forwarded = capturedInner!.SelectMany(m => m.Contents).OfType().Single(); + Assert.False(forwarded.Approved); + + // No rule was created, so the next call to the same tool still surfaces. + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "Try again")], session); + var surfaced = response.Messages.SelectMany(m => m.Contents).OfType().ToList(); + Assert.Single(surfaced); + Assert.Equal("req2", surfaced[0].RequestId); + } + + /// + /// A wrapper targeting a request that is still queued, and therefore has not yet been presented to + /// the caller, must not establish a standing rule for it. + /// + [Fact] + public async Task RunAsync_AlwaysApproveWrapperForQueuedRequest_CreatesNoRuleAsync() + { + // Arrange — the inner agent surfaces two requests, so only the first is presented. + var session = new ChatClientAgentSession(); + var approvalA = new ToolApprovalRequestContent("reqA", new FunctionCallContent("callA", "ToolA")); + var approvalB = new ToolApprovalRequestContent("reqB", new FunctionCallContent("callB", "ToolB")); + + var innerAgent = CreateMockAgent(new AgentResponse([new ChatMessage(ChatRole.Assistant, [approvalA, approvalB])])); + var agent = new ToolApprovalAgent(innerAgent.Object); + + var firstTurn = await agent.RunAsync([new ChatMessage(ChatRole.User, "Use both tools")], session); + var presented = firstTurn.Messages.SelectMany(m => m.Contents).OfType().Single(); + Assert.Equal("reqA", presented.RequestId); + + // Act — answer the queued-but-unseen reqB instead of the presented reqA. Must not throw. + var secondTurn = await agent.RunAsync( + [new ChatMessage(ChatRole.User, [approvalB.CreateAlwaysApproveToolResponse()])], + session); + + // Assert — reqB is still surfaced for a decision rather than being auto-approved by a forged rule. + var stillQueued = secondTurn.Messages.SelectMany(m => m.Contents).OfType().Single(); + Assert.Equal("reqB", stillQueued.RequestId); + } + + /// + /// A plain approval response that this agent cannot bind is passed through untouched so the inner + /// approval-binding layer can apply its own policy, rather than being silently discarded here. + /// + [Fact] + public async Task RunAsync_UnboundPlainApprovalResponse_IsPassedThroughAsync() + { + // Arrange + var session = new ChatClientAgentSession(); + var unknownRequest = new ToolApprovalRequestContent("unknown-req", new FunctionCallContent("unknown-call", "MyTool")); + + List? capturedInner = null; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .Callback, AgentSession?, AgentRunOptions?, CancellationToken>((msgs, _, _, _) => + capturedInner = msgs.ToList()) + .ReturnsAsync(new AgentResponse([new ChatMessage(ChatRole.Assistant, "OK")])); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [unknownRequest.CreateResponse(approved: true)])], + session); + + // Assert — forwarded verbatim; binding policy for plain responses belongs to the inner pipeline. + Assert.NotNull(capturedInner); + var forwarded = capturedInner!.SelectMany(m => m.Contents).OfType().Single(); + Assert.Equal("unknown-req", forwarded.RequestId); + } + + /// + /// A wrapper whose inner response carries no usable tool call cannot establish a rule. + /// + [Fact] + public async Task RunAsync_AlwaysApproveWrapperWithNoRuleFlags_CreatesNoRuleAsync() + { + // Arrange + var session = new ChatClientAgentSession(); + var recordedRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "MyTool")); + await SurfaceApprovalRequestAsync(session, recordedRequest); + + var noFlags = new AlwaysApproveToolApprovalResponseContent( + recordedRequest.CreateResponse(approved: true), + alwaysApproveTool: false, + alwaysApproveToolWithArguments: false); + + var nextRequest = new ToolApprovalRequestContent("req2", new FunctionCallContent("call2", "MyTool")); + var callCount = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .ReturnsAsync(() => ++callCount == 1 + ? new AgentResponse([new ChatMessage(ChatRole.Assistant, "acknowledged")]) + : new AgentResponse([new ChatMessage(ChatRole.Assistant, [nextRequest])])); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act + await agent.RunAsync([new ChatMessage(ChatRole.User, [noFlags])], session); + + // Assert — no standing rule, so the next request still surfaces. + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "Continue")], session); + var surfaced = response.Messages.SelectMany(m => m.Contents).OfType().ToList(); + Assert.Single(surfaced); + Assert.Equal("req2", surfaced[0].RequestId); + } + + /// + /// Replaying a completed transcript into a brand new session is a legitimate re-seeding scenario. The + /// replayed always-approve response must not fail the run, and must not re-establish a standing rule, + /// because nothing in caller-supplied history proves the agent ever asked for that approval. + /// + [Fact] + public async Task RunAsync_ReplayedTranscriptIntoNewSession_CreatesNoRuleAndDoesNotFailAsync() + { + // Arrange — a transcript from an earlier conversation: the request, the user's always-approve + // answer, and the result of the call that was subsequently executed. + var historicRequest = new ToolApprovalRequestContent("old-req", new FunctionCallContent("old-call", "RunShellCommand")); + var transcript = new List + { + new(ChatRole.User, "run the build"), + new(ChatRole.Assistant, [historicRequest]), + new(ChatRole.User, [historicRequest.CreateAlwaysApproveToolResponse("User chose always approve")]), + new(ChatRole.Assistant, [new FunctionResultContent("old-call", "build succeeded")]), + new(ChatRole.Assistant, "The build succeeded."), + }; + + // A brand new session: none of the above was recorded by this server. + var session = new ChatClientAgentSession(); + + var newRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "RunShellCommand")); + List? capturedInner = null; + var callCount = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .Callback, AgentSession?, AgentRunOptions?, CancellationToken>((msgs, _, _, _) => + { + callCount++; + capturedInner ??= msgs.ToList(); + }) + .ReturnsAsync(() => callCount == 1 + ? new AgentResponse([new ChatMessage(ChatRole.Assistant, "acknowledged")]) + : new AgentResponse([new ChatMessage(ChatRole.Assistant, [newRequest])])); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act — re-seed the new session with the transcript. Must not throw. + await agent.RunAsync(transcript, session); + + // Assert — the history reaches the inner agent intact, with the wrapper downgraded to a plain + // response so it remains ordinary model context. + Assert.NotNull(capturedInner); + var forwarded = capturedInner!.SelectMany(m => m.Contents).ToList(); + Assert.DoesNotContain(forwarded, c => c is AlwaysApproveToolApprovalResponseContent); + Assert.Contains(forwarded, c => c is ToolApprovalRequestContent r && r.RequestId == "old-req"); + Assert.Contains(forwarded, c => c is ToolApprovalResponseContent r && r.RequestId == "old-req"); + + // No standing rule was re-established from the replayed history, so the tool still needs approval. + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "run it again")], session); + var surfacedAfterReplay = response.Messages.SelectMany(m => m.Contents).OfType().ToList(); + Assert.Single(surfacedAfterReplay); + Assert.Equal("req1", surfacedAfterReplay[0].RequestId); + } + + /// + /// A request answered once with a plain approval must not remain bindable. Otherwise a caller could replay + /// the same request id as an always-approve wrapper and promote a one-time consent into a standing rule. + /// + [Fact] + public async Task RunAsync_PlainApprovalThenWrapperReplay_CreatesNoRuleAsync() + { + // Arrange — the agent surfaces a request, and the caller answers it normally. + var session = new ChatClientAgentSession(); + var recordedRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "RunShellCommand")); + await SurfaceApprovalRequestAsync(session, recordedRequest); + + var laterRequest = new ToolApprovalRequestContent("req2", new FunctionCallContent("call2", "RunShellCommand")); + var callCount = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .ReturnsAsync(() => ++callCount switch + { + 3 => new AgentResponse([new ChatMessage(ChatRole.Assistant, [laterRequest])]), + _ => new AgentResponse([new ChatMessage(ChatRole.Assistant, "acknowledged")]), + }); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // The one-time approval consumes the surfaced request. + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [recordedRequest.CreateResponse(approved: true)])], + session); + + // Act — replay the very same request id, this time as an always-approve wrapper. + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [recordedRequest.CreateAlwaysApproveToolResponse()])], + session); + + // Assert — the consent was spent, so no standing rule exists and the tool still surfaces. + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "Run a command")], session); + var surfaced = response.Messages.SelectMany(m => m.Contents).OfType().ToList(); + Assert.Single(surfaced); + Assert.Equal("req2", surfaced[0].RequestId); + } + + /// + /// A request the user explicitly denied must not remain bindable. Approval is read from the caller-supplied + /// response, so a stale entry would let a replayed wrapper overturn the denial and create a standing rule + /// for the very tool the user refused. + /// + [Fact] + public async Task RunAsync_PlainDenialThenWrapperReplay_CreatesNoRuleAsync() + { + // Arrange — the agent surfaces a request and the caller denies it. + var session = new ChatClientAgentSession(); + var recordedRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "RunShellCommand")); + await SurfaceApprovalRequestAsync(session, recordedRequest); + + var laterRequest = new ToolApprovalRequestContent("req2", new FunctionCallContent("call2", "RunShellCommand")); + var callCount = 0; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .ReturnsAsync(() => ++callCount switch + { + 3 => new AgentResponse([new ChatMessage(ChatRole.Assistant, [laterRequest])]), + _ => new AgentResponse([new ChatMessage(ChatRole.Assistant, "acknowledged")]), + }); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // The denial consumes the surfaced request. + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [recordedRequest.CreateResponse(approved: false)])], + session); + + // Act — replay the denied request id as an approving always-approve wrapper. + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [recordedRequest.CreateAlwaysApproveToolResponse()])], + session); + + // Assert — the denial stands; no rule was created for the refused tool. + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "Run a command")], session); + var surfaced = response.Messages.SelectMany(m => m.Contents).OfType().ToList(); + Assert.Single(surfaced); + Assert.Equal("req2", surfaced[0].RequestId); + } + + /// + /// Consuming a surfaced request on a plain response must not swallow the response itself: outside a queue + /// cycle it still has to reach the inner pipeline, rebound to the recorded tool call. + /// + [Fact] + public async Task RunAsync_PlainApprovalOutsideQueueCycle_IsForwardedAsync() + { + // Arrange — the agent surfaces a request; the caller answers it with a substituted tool call. + var session = new ChatClientAgentSession(); + var recordedRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "ReadFile")); + await SurfaceApprovalRequestAsync(session, recordedRequest); + + var substituted = new ToolApprovalRequestContent("req1", new FunctionCallContent("evil-call", "RunShellCommand")); + + List? capturedInner = null; + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .Callback, AgentSession?, AgentRunOptions?, CancellationToken>((msgs, _, _, _) => capturedInner ??= msgs.ToList()) + .ReturnsAsync(new AgentResponse([new ChatMessage(ChatRole.Assistant, "done")])); + + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [substituted.CreateResponse(approved: true)])], + session); + + // Assert — the response is forwarded, not dropped, and carries the recorded call rather than the + // caller's substitute. + Assert.NotNull(capturedInner); + var forwarded = capturedInner!.SelectMany(m => m.Contents).OfType().Single(); + Assert.Equal("req1", forwarded.RequestId); + Assert.True(forwarded.Approved); + var forwardedCall = Assert.IsType(forwarded.ToolCall); + Assert.Equal("ReadFile", forwardedCall.Name); + Assert.Equal("call1", forwardedCall.CallId); + } + + /// + /// A consumer that stops reading the stream as soon as it sees an approval request must still be able + /// to answer it, so the request has to be recorded before it is yielded rather than after the stream + /// completes. + /// + [Fact] + public async Task RunStreamingAsync_AbandonedStream_StillRecordsSurfacedRequestAsync() + { + // Arrange — MaxAutoApprovalIterations = 1 routes the second pass through the capped path. + var session = new ChatClientAgentSession(); + var ruleRequest = new ToolApprovalRequestContent("rule-req", new FunctionCallContent("rule-call", "AutoTool")); + var cappedRequest = new ToolApprovalRequestContent("capped-req", new FunctionCallContent("capped-call", "ReadFile")); + + var innerAgent = new Mock(); + innerAgent + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .ReturnsAsync(new AgentResponse([new ChatMessage(ChatRole.Assistant, "ack")])); + + var streamCallCount = 0; + innerAgent + .Protected() + .Setup>("RunCoreStreamingAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .Returns(() => ++streamCallCount == 1 + // Pass 1 is fully auto-approved by the standing rule, driving the loop to the cap. + ? ToAsyncEnumerableAsync([new AgentResponseUpdate(ChatRole.Assistant, new List { new ToolApprovalRequestContent("auto-req", new FunctionCallContent("auto-call", "AutoTool")) })]) + // Pass 2 is the capped turn: an approval request followed by more content. + : ToAsyncEnumerableAsync( + [ + new AgentResponseUpdate(ChatRole.Assistant, new List { cappedRequest }), + new AgentResponseUpdate(ChatRole.Assistant, "trailing content the consumer never reads"), + ])); + + var agent = new ToolApprovalAgent( + innerAgent.Object, + new ToolApprovalAgentOptions { MaxAutoApprovalIterations = 1 }); + + await EstablishStandingRuleAsync(session, ruleRequest); + + // Act — abandon the stream as soon as the approval request appears. + ToolApprovalRequestContent? seen = null; + await foreach (var update in agent.RunStreamingAsync([new ChatMessage(ChatRole.User, "go")], session)) + { + seen = update.Contents.OfType().FirstOrDefault(); + if (seen is not null) + { + break; + } + } + + Assert.NotNull(seen); + Assert.Equal("capped-req", seen!.RequestId); + + // Assert — the abandoned request was recorded, so an always-approve answer establishes a rule. + var ruleAgent = new ToolApprovalAgent( + CreateMockAgent(new AgentResponse([new ChatMessage(ChatRole.Assistant, "ack")])).Object); + await ruleAgent.RunAsync([new ChatMessage(ChatRole.User, [seen.CreateAlwaysApproveToolResponse()])], session); + + var laterRequest = new ToolApprovalRequestContent("later-req", new FunctionCallContent("later-call", "ReadFile")); + var laterCallCount = 0; + var laterMock = new Mock(); + laterMock + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .ReturnsAsync(() => ++laterCallCount == 1 + ? new AgentResponse([new ChatMessage(ChatRole.Assistant, [laterRequest])]) + : new AgentResponse([new ChatMessage(ChatRole.Assistant, "Auto-approved")])); + + var laterAgent = new ToolApprovalAgent(laterMock.Object); + var response2 = await laterAgent.RunAsync([new ChatMessage(ChatRole.User, "read again")], session); + Assert.Equal("Auto-approved", response2.Text); + } + + /// + /// After a session is serialized and restored, a wrapper still binds to the request recorded by the + /// server, while an unknown request id is still rejected. + /// + [Fact] + public async Task RunAsync_RestoredSession_BindsRecordedRequestAndRejectsUnknownAsync() + { + // Arrange — surface a request, then round-trip the session through serialization. + var session = new ChatClientAgentSession(); + var recordedRequest = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "ReadFile")); + await SurfaceApprovalRequestAsync(session, recordedRequest); + + var serialized = session.Serialize(); + var restored = ChatClientAgentSession.Deserialize(serialized); + + var innerAgent = CreateMockAgent(new AgentResponse([new ChatMessage(ChatRole.Assistant, "OK")])); + var agent = new ToolApprovalAgent(innerAgent.Object); + + // Act / Assert — an unknown request id creates no rule against the restored state. + var unknown = new ToolApprovalRequestContent("req-unknown", new FunctionCallContent("call-x", "ReadFile")); + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [unknown.CreateAlwaysApproveToolResponse()])], + restored); + + // The recorded request still binds successfully. + await agent.RunAsync( + [new ChatMessage(ChatRole.User, [recordedRequest.CreateAlwaysApproveToolResponse()])], + restored); + + var laterRequest = new ToolApprovalRequestContent("req2", new FunctionCallContent("call2", "ReadFile")); + var laterCallCount = 0; + var laterAgentMock = new Mock(); + laterAgentMock + .Protected() + .Setup>("RunCoreAsync", + ItExpr.IsAny>(), + ItExpr.IsAny(), + ItExpr.IsAny(), + ItExpr.IsAny()) + .ReturnsAsync(() => ++laterCallCount == 1 + ? new AgentResponse([new ChatMessage(ChatRole.Assistant, [laterRequest])]) + : new AgentResponse([new ChatMessage(ChatRole.Assistant, "Auto-approved")])); + + var laterAgent = new ToolApprovalAgent(laterAgentMock.Object); + var response = await laterAgent.RunAsync([new ChatMessage(ChatRole.User, "Read again")], restored); + Assert.Equal("Auto-approved", response.Text); + } + + #endregion + #region Content Ordering /// @@ -604,6 +1356,7 @@ public async Task RunAsync_UnwrapPreservesContentOrderAsync() .ReturnsAsync(finalResponse); var agent = new ToolApprovalAgent(innerAgent.Object); + await SurfaceApprovalRequestAsync(session, approvalRequest); // Act await agent.RunAsync([inputMessage], session); @@ -651,6 +1404,7 @@ public async Task RunAsync_UnwrapsAlwaysApproveResponse_ForwardsInnerResponseAsy .ReturnsAsync(finalResponse); var agent = new ToolApprovalAgent(innerAgent.Object); + await SurfaceApprovalRequestAsync(session, approvalRequest); var inputMessages = new List { new(ChatRole.User, [alwaysApprove]), @@ -713,6 +1467,7 @@ public async Task RunAsync_RulesPersistAcrossCallsAsync() var agent = new ToolApprovalAgent(innerAgent.Object); // Call 1: establish rule (no approval requests returned) + await SurfaceApprovalRequestAsync(session, approvalRequest); await agent.RunAsync( [new ChatMessage(ChatRole.User, [alwaysApprove])], session); @@ -775,6 +1530,7 @@ public async Task RunAsync_CollectedApprovalResponses_ClearedAfterInjectionAsync var agent = new ToolApprovalAgent(innerAgent.Object); // Call 1: establish rule (callCount → 1) + await SurfaceApprovalRequestAsync(session, approvalRequest); await agent.RunAsync([new ChatMessage(ChatRole.User, [alwaysApprove])], session); // Call 2: inner returns TARc → auto-approved → loop → callCount → 2, 3 @@ -1087,31 +1843,35 @@ public void CreateAlwaysApproveToolWithArgumentsResponse_NullRequest_Throws() #region Duplicate Rule Prevention /// - /// Verify that sending the same always-approve response twice does not create duplicate rules. + /// Verify that an always-approve response cannot be replayed to create a second, duplicate rule, + /// and that the single rule established by the original response remains functional. /// + /// + /// Once a tool-wide rule exists, later calls to that tool are auto-approved and never surfaced, + /// so a second legitimate always-approve response for the same tool cannot be obtained. The only + /// way to attempt a duplicate is to replay the original response, which must not be honored. + /// [Fact] public async Task RunAsync_DuplicateAlwaysApprove_DoesNotDuplicateRuleAsync() { // Arrange var session = new ChatClientAgentSession(); var request1 = new ToolApprovalRequestContent("req1", new FunctionCallContent("call1", "MyTool")); - var request2 = new ToolApprovalRequestContent("req2", new FunctionCallContent("call2", "MyTool")); var finalResponse = new AgentResponse([new ChatMessage(ChatRole.Assistant, "OK")]); var innerAgent = CreateMockAgent(finalResponse); var agent = new ToolApprovalAgent(innerAgent.Object); - // Act — send two always-approve responses for the same tool + // Act — establish the rule once, then replay the same always-approve response + await EstablishStandingRuleAsync(session, request1); + await agent.RunAsync( [new ChatMessage(ChatRole.User, [request1.CreateAlwaysApproveToolResponse()])], session); - await agent.RunAsync( - [new ChatMessage(ChatRole.User, [request2.CreateAlwaysApproveToolResponse()])], - session); - // Assert — verify the state works correctly (rule still matches on subsequent call) - var thirdApproval = new ToolApprovalRequestContent("req3", new FunctionCallContent("call3", "MyTool")); - var approvalResponseMsg = new AgentResponse([new ChatMessage(ChatRole.Assistant, [thirdApproval])]); + // Assert — verify the state works correctly (the original rule still matches on subsequent calls) + var secondApproval = new ToolApprovalRequestContent("req2", new FunctionCallContent("call2", "MyTool")); + var approvalResponseMsg = new AgentResponse([new ChatMessage(ChatRole.Assistant, [secondApproval])]); var afterAutoResponse = new AgentResponse([new ChatMessage(ChatRole.Assistant, "Auto-approved")]); var callCount = 0; @@ -1128,11 +1888,7 @@ [new ChatMessage(ChatRole.User, [request2.CreateAlwaysApproveToolResponse()])], return callCount == 1 ? approvalResponseMsg : afterAutoResponse; }); - // Call 3: triggers approval → stored as pending - await agent.RunAsync([new ChatMessage(ChatRole.User, "test")], session); - - // Call 4: pending injected - var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "continue")], session); + var response = await agent.RunAsync([new ChatMessage(ChatRole.User, "test")], session); Assert.Equal("Auto-approved", response.Text); } @@ -1171,6 +1927,7 @@ public async Task RunAsync_AutoApprovedRequest_RemovedFromResponseAsync() var agent = new ToolApprovalAgent(innerAgent.Object); // Act: establish rule + inner returns matching approval request → auto-approved → re-call + await SurfaceApprovalRequestAsync(session, approvalRequest); var response = await agent.RunAsync( [new ChatMessage(ChatRole.User, [alwaysApprove])], session); @@ -1230,6 +1987,7 @@ public async Task RunStreamingAsync_AutoApprovedRequest_RemovedFromUpdatesAsync( var agent = new ToolApprovalAgent(innerAgent.Object); // Establish the rule + await SurfaceApprovalRequestAsync(session, approvalRequest); await agent.RunAsync( [new ChatMessage(ChatRole.User, [alwaysApprove])], session); @@ -1312,6 +2070,7 @@ public async Task RunAsync_MessageWithOnlyAutoApprovedContent_RemovedEntirelyAsy var agent = new ToolApprovalAgent(innerAgent.Object); // Act + await SurfaceApprovalRequestAsync(session, ruleRequest); var response = await agent.RunAsync( [new ChatMessage(ChatRole.User, [alwaysApprove])], session); @@ -1362,6 +2121,7 @@ public async Task RunStreamingAsync_MixedUpdate_OnlyRemovesAutoApprovedAsync() var agent = new ToolApprovalAgent(innerAgent.Object); // Establish rule + await SurfaceApprovalRequestAsync(session, ruleRequest); await agent.RunAsync( [new ChatMessage(ChatRole.User, [alwaysApprove])], session); @@ -2369,9 +3129,10 @@ public async Task RunAsync_StandingRuleTakesPrecedenceOverAutoApprovalRuleAsync( Assert.True(heuristicCalled); Assert.Equal("Done", response1.Text); - // Now establish a standing rule by sending AlwaysApprove + // Now establish a standing rule by sending AlwaysApprove for a genuinely surfaced request heuristicCalled = false; callCount = 0; + await SurfaceApprovalRequestAsync(session, approvalRequest); var alwaysApprove = new AlwaysApproveToolApprovalResponseContent( approvalRequest.CreateResponse(approved: true), alwaysApproveTool: true, @@ -2430,6 +3191,7 @@ public async Task RunAsync_MixedAutoApprovals_PreserveOriginalOrderAsync() var agent = new ToolApprovalAgent(innerAgent.Object, options); // Establish a standing rule for "StandingTool" via an AlwaysApprove response in the same call. + await SurfaceApprovalRequestAsync(session, standingRequest); var alwaysApprove = standingRequest.CreateAlwaysApproveToolResponse("User said always"); // Act — both requests auto-approve (heuristic + standing rule), so the inner agent is re-invoked. From 4f41eabdf895d55177e12ca6168218c4f5414df1 Mon Sep 17 00:00:00 2001 From: Jose Alvarez Date: Fri, 18 Sep 2026 14:10:17 +0000 Subject: [PATCH 03/30] Python: Require Azure Monitor 1.8.10 for Foundry trace propagation (#8512) * Added pycharm ignore entry to .gitignore * Added hooks for name and id for OTEL * Added project ID for trace surfacing + inner response id preserved for traces * restored .gitignore * clarified name to project_arm_id and moved method to match code base patterns * Restore uv.lock after branch merge Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5641780c-318a-4def-8692-710b2b061c60 * Fix Foundry attribution setup and agent response ownership Separate per-agent project identity from exporter configuration, preserve export on optional discovery failures, and capture response identity from the owned chat result. Consolidate invocation telemetry state and document both setup paths. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: bfc650ea-638e-4c20-aae6-f63cca98462e * Simplified the ADR * Remove redundant Azure Monitor dependency test Keep the tracing dependency and documentation fix without testing behavior owned by Azure Monitor. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Clarify required PromptAgent version in tracing sample Document FOUNDRY_AGENT_VERSION as required for PromptAgents and optional for HostedAgents, preserving runtime behavior. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Simplify Foundry tracing README guidance Keep the package README focused on installation, the setup helper and the sample link. Retain sample prerequisites and run instructions without repeating the telemetry investigation. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Copilot-Session: 5641780c-318a-4def-8692-710b2b061c60 Copilot-Session: bfc650ea-638e-4c20-aae6-f63cca98462e --- python/packages/foundry/README.md | 13 +++ .../foundry/agent_framework_foundry/_agent.py | 6 +- .../agent_framework_foundry/_chat_client.py | 6 +- python/pyproject.toml | 2 +- .../samples/02-agents/observability/README.md | 26 ++++- .../observability/foundry_agent_tracing.py | 98 +++++++++++++++++++ .../observability/foundry_tracing.py | 6 +- .../02-agents/providers/foundry/README.md | 1 + python/uv.lock | 2 +- 9 files changed, 152 insertions(+), 8 deletions(-) create mode 100644 python/samples/02-agents/observability/foundry_agent_tracing.py diff --git a/python/packages/foundry/README.md b/python/packages/foundry/README.md index 94046a9ed36..457a22d100c 100644 --- a/python/packages/foundry/README.md +++ b/python/packages/foundry/README.md @@ -8,6 +8,19 @@ This package supports `azure-ai-projects>=2.2.0,<2.7.0`. Projects 2.5 and later `openai>=3.0.0`, so `agent-framework-foundry` requires `agent-framework-openai>=1.14.2`, which supports both OpenAI 2.x and 3.x. +## Tracing an existing Foundry agent + +Install Azure Monitor to connect client and service traces: + +```shell +pip install --upgrade agent-framework-foundry "azure-monitor-opentelemetry>=1.8.10,<2" +``` + +With Application Insights connected to your project, call +`await agent.configure_azure_monitor()` before invoking a `FoundryAgent`. +See [the tracing sample](../../samples/02-agents/observability/foundry_agent_tracing.py) +for streaming and non-streaming examples. + ## Evaluations `FoundryEvals` implements the provider-neutral `Evaluator` protocol with diff --git a/python/packages/foundry/agent_framework_foundry/_agent.py b/python/packages/foundry/agent_framework_foundry/_agent.py index 393a7109385..43374b85d29 100644 --- a/python/packages/foundry/agent_framework_foundry/_agent.py +++ b/python/packages/foundry/agent_framework_foundry/_agent.py @@ -856,6 +856,8 @@ async def configure_azure_monitor( This method configures Azure Monitor for telemetry collection using the connection string from the Foundry project client (accessed via the internal client). + Use azure-monitor-opentelemetry>=1.8.10,<2 for HTTPX/HTTPX2 + auto-instrumentation that connects client and service traces. Args: enable_sensitive_data: Enable sensitive data logging (prompts, responses). @@ -863,7 +865,7 @@ async def configure_azure_monitor( **kwargs: Additional arguments passed to configure_azure_monitor(). Raises: - ImportError: If azure-monitor-opentelemetry-exporter is not installed. + ImportError: If azure-monitor-opentelemetry is not installed. """ from agent_framework.observability import ( OBSERVABILITY_SETTINGS, @@ -900,7 +902,7 @@ async def configure_azure_monitor( except ImportError as exc: raise ImportError( "azure-monitor-opentelemetry is required for Azure Monitor integration. " - "Install it with: pip install azure-monitor-opentelemetry" + 'Install it with: pip install "azure-monitor-opentelemetry>=1.8.10,<2"' ) from exc if "resource" not in kwargs: diff --git a/python/packages/foundry/agent_framework_foundry/_chat_client.py b/python/packages/foundry/agent_framework_foundry/_chat_client.py index 6c0539bb981..8e42d56249c 100644 --- a/python/packages/foundry/agent_framework_foundry/_chat_client.py +++ b/python/packages/foundry/agent_framework_foundry/_chat_client.py @@ -308,6 +308,8 @@ async def configure_azure_monitor( This method configures Azure Monitor for telemetry collection using the connection string from the Foundry project client. + Use azure-monitor-opentelemetry>=1.8.10,<2 for HTTPX/HTTPX2 + auto-instrumentation that connects client and service traces. Args: enable_sensitive_data: Enable sensitive data logging (prompts, responses). @@ -319,7 +321,7 @@ async def configure_azure_monitor( - resource (Resource): Custom OpenTelemetry resource Raises: - ImportError: If azure-monitor-opentelemetry-exporter is not installed. + ImportError: If azure-monitor-opentelemetry is not installed. """ from agent_framework.observability import ( OBSERVABILITY_SETTINGS, @@ -352,7 +354,7 @@ async def configure_azure_monitor( except ImportError as exc: raise ImportError( "azure-monitor-opentelemetry is required for Azure Monitor integration. " - "Install it with: pip install azure-monitor-opentelemetry" + 'Install it with: pip install "azure-monitor-opentelemetry>=1.8.10,<2"' ) from exc if "resource" not in kwargs: diff --git a/python/pyproject.toml b/python/pyproject.toml index 58b1cefe148..1c762ead681 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -51,7 +51,7 @@ dev = [ "griffe==2.3.0", ] test = [ - "azure-monitor-opentelemetry", + "azure-monitor-opentelemetry>=1.8.10,<2", "mcp[ws]", # Optional SDK used by the agent-hooks tests and isolated source checks. "agent-hooks-sdk>=0.1.0a4,<0.2", diff --git a/python/samples/02-agents/observability/README.md b/python/samples/02-agents/observability/README.md index e69af64f684..903dc7982b4 100644 --- a/python/samples/02-agents/observability/README.md +++ b/python/samples/02-agents/observability/README.md @@ -115,7 +115,8 @@ configure_azure_monitor( enable_sensitive_telemetry() ``` -For Microsoft Foundry projects, use `client.configure_azure_monitor()` which retrieves the connection string from the project and configures everything: +For model calls through `FoundryChatClient`, use `client.configure_azure_monitor()` +to retrieve the connection string and configure Azure Monitor: ```python from agent_framework.foundry import FoundryChatClient @@ -131,6 +132,29 @@ client = FoundryChatClient( await client.configure_azure_monitor(enable_sensitive_data=True) ``` +For calls to an **existing prompt or hosted agent**, use +[`foundry_agent_tracing.py`](foundry_agent_tracing.py) and +`await agent.configure_azure_monitor()`. + +Install Azure Monitor 1.8.10 or later to connect client and service traces: + +```shell +pip install --upgrade "azure-monitor-opentelemetry>=1.8.10,<2" +``` + +Connect Application Insights to your project and set `FOUNDRY_PROJECT_ENDPOINT` +and `FOUNDRY_AGENT_NAME`. `FOUNDRY_AGENT_VERSION` is required for PromptAgents +and optional for HostedAgents. Run from `python/` using the workspace packages: + +```powershell +uv run --group test python samples\02-agents\observability\foundry_agent_tracing.py +uv run --group test python samples\02-agents\observability\foundry_agent_tracing.py --stream +``` + +View the connected trace under **Build > Agents > your agent > Traces** in +Foundry. Select the agent version and a time range covering the run, then open +the printed trace ID. + Or with [Langfuse](https://langfuse.com/integrations/frameworks/microsoft-agent-framework): ```python diff --git a/python/samples/02-agents/observability/foundry_agent_tracing.py b/python/samples/02-agents/observability/foundry_agent_tracing.py new file mode 100644 index 00000000000..83c6cf64bcf --- /dev/null +++ b/python/samples/02-agents/observability/foundry_agent_tracing.py @@ -0,0 +1,98 @@ +# /// script +# requires-python = ">=3.10" +# dependencies = [ +# "agent-framework-foundry", +# "azure-monitor-opentelemetry>=1.8.10,<2", +# ] +# /// +# Run from python/ with the workspace environment: +# uv run --group test python samples/02-agents/observability/foundry_agent_tracing.py + +# Copyright (c) Microsoft. All rights reserved. + +from __future__ import annotations + +import argparse +import asyncio +import os + +from agent_framework.foundry import FoundryAgent +from agent_framework.observability import get_tracer +from azure.identity.aio import AzureCliCredential +from dotenv import load_dotenv +from opentelemetry import trace +from opentelemetry.sdk.trace import TracerProvider + +""" +Trace calls to an existing Foundry agent, including the client and service spans. + +Azure Monitor 1.8.10 or later instruments HTTPX and HTTPX2, which the OpenAI SDK +uses to send requests. The resulting traceparent header connects client spans +to Foundry's service spans. Older Azure Monitor versions can export the client +spans to Application Insights while leaving them in a separate trace. + +The helper configures Azure Monitor using the project's connected Application +Insights resource. No project ARM ID or custom span attributes are needed. +Add --stream for streaming output. Message-content recording remains disabled. + +Environment variables: + FOUNDRY_PROJECT_ENDPOINT -- Foundry project endpoint. + FOUNDRY_AGENT_NAME -- Existing prompt or hosted agent name. + FOUNDRY_AGENT_VERSION -- Required for PromptAgents; optional for HostedAgents. + +After running, open Build > Agents > your agent > Traces in Foundry. Select the +agent version and a time range covering the run, then open the printed trace ID. +The waterfall should contain this application's parent span, client invoke_agent +and chat spans, the HTTP request, and the service spans in one connected tree. +The sample does not create or delete the agent, so it remains available for inspection. +""" + +load_dotenv() + + +async def main() -> None: + parser = argparse.ArgumentParser(description="Trace client and service calls to an existing Foundry agent.") + parser.add_argument("--stream", action="store_true", help="Stream the agent response.") + args = parser.parse_args() + + # 1. Connect to an existing agent without changing its definition. + async with ( + AzureCliCredential() as credential, + FoundryAgent( + project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], + agent_name=os.environ["FOUNDRY_AGENT_NAME"], + agent_version=os.getenv("FOUNDRY_AGENT_VERSION"), + credential=credential, + ) as agent, + ): + # 2. Configure export and HTTP trace-context propagation before invoking the agent. + await agent.configure_azure_monitor(enable_live_metrics=False) + + # 3. Group the client operation beneath an application span. + with get_tracer().start_as_current_span("foundry-agent-tracing") as span: + print(f"Trace ID: {span.get_span_context().trace_id:032x}") + if args.stream: + result_stream = agent.run("Say hello in one sentence.", stream=True) + async for update in result_stream: + if update.text: + print(update.text, end="", flush=True) + print() + response = await result_stream.get_final_response() + else: + response = await agent.run("Say hello in one sentence.") + print(response.text) + print(f"Agent response ID: {response.response_id}") + + # 4. Flush before exit; exporting does not by itself prove Foundry portal discovery. + provider = trace.get_tracer_provider() + if isinstance(provider, TracerProvider) and not provider.force_flush(): + raise TimeoutError("Trace export did not finish before the flush timeout.") + + +if __name__ == "__main__": + asyncio.run(main()) + +# Example output: +# Trace ID: +# Hello! How can I help you today? +# Agent response ID: diff --git a/python/samples/02-agents/observability/foundry_tracing.py b/python/samples/02-agents/observability/foundry_tracing.py index 7cefa111d9a..f72b1aa345a 100644 --- a/python/samples/02-agents/observability/foundry_tracing.py +++ b/python/samples/02-agents/observability/foundry_tracing.py @@ -2,7 +2,7 @@ # requires-python = ">=3.10" # dependencies = [ # "agent-framework-foundry", -# "azure-monitor-opentelemetry", +# "azure-monitor-opentelemetry>=1.8.10,<2", # ] # /// # Run with any PEP 723 compatible runner, e.g.: @@ -29,6 +29,10 @@ This sample shows how to setup telemetry in Microsoft Foundry for a custom agent using ``FoundryChatClient.configure_azure_monitor()``. +For an existing Foundry prompt or hosted agent, see ``foundry_agent_tracing.py`` +instead. Azure Monitor 1.8.10 or later instruments the HTTP transport so client +and service spans can share a trace. + First ensure you have a Foundry workspace with Application Insights enabled. And use the Operate tab to Register an Agent. Set the OpenTelemetry agent ID to the value used below in the Agent creation: ``weather-agent`` diff --git a/python/samples/02-agents/providers/foundry/README.md b/python/samples/02-agents/providers/foundry/README.md index 606b81af0ef..f4253d98861 100644 --- a/python/samples/02-agents/providers/foundry/README.md +++ b/python/samples/02-agents/providers/foundry/README.md @@ -10,6 +10,7 @@ This folder contains Microsoft Foundry and Foundry Local samples for Agent Frame | [`foundry_agent_custom_client.py`](foundry_agent_custom_client.py) | Foundry Agent custom client configuration | | [`foundry_agent_hosted.py`](foundry_agent_hosted.py) | Foundry Agent for hosted agents | | [`foundry_agent_with_function_tools.py`](foundry_agent_with_function_tools.py) | Foundry Agent with local function tools | +| [`foundry_agent_tracing.py`](../../observability/foundry_agent_tracing.py) | Connected client and service traces for an existing Foundry agent, with optional streaming | ## FoundryChatClient Samples diff --git a/python/uv.lock b/python/uv.lock index 6d615f5919e..560483c30d3 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -180,7 +180,7 @@ dev = [ ] test = [ { name = "agent-hooks-sdk", specifier = ">=0.1.0a4,<0.2" }, - { name = "azure-monitor-opentelemetry" }, + { name = "azure-monitor-opentelemetry", specifier = ">=1.8.10,<2" }, { name = "mcp", extras = ["ws"] }, ] From 8b29709e04a229bff533e735ba7f97c60e97b018 Mon Sep 17 00:00:00 2001 From: Jose Alvarez Date: Fri, 18 Sep 2026 14:11:20 +0000 Subject: [PATCH 04/30] Python: Synchronize workflow preemption test startup (#8525) Wait for the inner stream to block before signalling shutdown or cancellation, independently of the retained preemption deadline. Drain pending test tasks and verify that the blocked call is cancelled before cleanup. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --- .../foundry_hosting/tests/test_responses.py | 68 ++++++++++++------- 1 file changed, 44 insertions(+), 24 deletions(-) diff --git a/python/packages/foundry_hosting/tests/test_responses.py b/python/packages/foundry_hosting/tests/test_responses.py index d1ea6a0e068..0f0e2b2c050 100644 --- a/python/packages/foundry_hosting/tests/test_responses.py +++ b/python/packages/foundry_hosting/tests/test_responses.py @@ -16,6 +16,7 @@ import os import uuid from collections.abc import AsyncGenerator, AsyncIterator, Awaitable, Callable, Generator, Mapping, Sequence +from contextlib import asynccontextmanager from dataclasses import dataclass from importlib import import_module from pathlib import Path @@ -5597,7 +5598,8 @@ def __init__(self, name: str, texts: Sequence[str], *, gate: asyncio.Event | Non self._texts = list(texts) self._gate = gate self.run_count = 0 - self.started = asyncio.Event() # Set at the top of run(), before any gate wait. + self.started = asyncio.Event() + self.cancelled = asyncio.Event() def create_session(self, **kwargs: Any) -> AgentSession: del kwargs @@ -5638,14 +5640,18 @@ def run( del messages, session, kwargs assert stream is True, "The inner agent only runs in stream mode in Foundry Hosted Agents." self.run_count += 1 - self.started.set() texts = self._texts name = self.name gate = self._gate async def _aiter() -> AsyncIterator[AgentResponseUpdate]: + self.started.set() if gate is not None: - await gate.wait() # Simulates a stuck model/tool call for preemption tests. + try: + await gate.wait() # Simulates a stuck model/tool call for preemption tests. + except asyncio.CancelledError: + self.cancelled.set() + raise for text in texts: yield AgentResponseUpdate( contents=[Content.from_text(text=text)], @@ -5670,6 +5676,25 @@ async def start(messages: list[Message], ctx: WorkflowContext[AgentExecutorReque return WorkflowAgent(workflow=workflow, name="Multi Update Workflow Agent"), inner +@asynccontextmanager +async def _pending_workflow_event( + handler: AsyncGenerator[Any], started: asyncio.Event +) -> AsyncIterator[asyncio.Future[Any]]: + pending = asyncio.ensure_future(anext(handler)) + started_wait = asyncio.ensure_future(started.wait()) + try: + # Startup uses pytest's test timeout; only preemption has a short deadline. + await asyncio.wait([pending, started_wait], return_when=asyncio.FIRST_COMPLETED) + if pending.done(): + pytest.fail(f"Workflow returned before reaching the blocked call: {pending.result()!r}") + yield pending + finally: + started_wait.cancel() + pending.cancel() + await asyncio.gather(started_wait, pending, return_exceptions=True) + await handler.aclose() + + def _build_approval_workflow_agent( *, approval_request_id: str, @@ -5786,20 +5811,17 @@ async def test_cancellation_signal_preempts_stuck_workflow_call(self) -> None: await anext(handler) # response.created await anext(handler) # response.in_progress - # Pull the first workflow event in the background so we can wait for the inner agent's - # run() to actually start (proving it's genuinely stuck on `gate`) before signalling -- - # otherwise cancellation could preempt the pull before the workflow even reaches it. - pending = asyncio.ensure_future(anext(handler)) - await asyncio.wait_for(inner.started.wait(), timeout=1.0) - cancellation_signal.set() # Fires while the inner agent is stuck awaiting `gate`. + async with _pending_workflow_event(handler, inner.started) as pending: + cancellation_signal.set() # Fires while the inner agent is stuck awaiting `gate`. - async def _drain() -> list[Any]: - first = await pending - return [first, *[event async for event in handler]] + async def _drain() -> list[Any]: + first = await pending + return [first, *[event async for event in handler]] - # Bounded well below `gate` never being set: proves cancellation preempted the stuck - # call instead of only being observed after it (eventually) produced an update. - events = await asyncio.wait_for(_drain(), timeout=1.0) + # Bounded well below `gate` never being set: proves cancellation preempted the stuck + # call instead of only being observed after it (eventually) produced an update. + events = await asyncio.wait_for(_drain(), timeout=1.0) + assert inner.cancelled.is_set() types = [event.get("type") for event in events if isinstance(event, Mapping)] assert "response.output_text.delta" not in types @@ -5833,16 +5855,14 @@ async def test_shutdown_signal_preempts_stuck_workflow_call(self, tmp_path: Path await anext(handler) # response.created await anext(handler) # response.in_progress - # Pull the first workflow event in the background so we can wait for the inner agent's - # run() to actually start (proving it's genuinely stuck on `gate`) before signalling. - pending = asyncio.ensure_future(anext(handler)) - await asyncio.wait_for(inner.started.wait(), timeout=1.0) - context.shutdown.set() # Fires while the inner agent is stuck awaiting `gate`. + async with _pending_workflow_event(handler, inner.started) as pending: + context.shutdown.set() # Fires while the inner agent is stuck awaiting `gate`. - # Bounded well below `gate` never being set: proves shutdown preempted the stuck call - # instead of only being observed after it (eventually) produced an update. - with pytest.raises(ResponseExitForRecovery): - await asyncio.wait_for(pending, timeout=1.0) + # Bounded well below `gate` never being set: proves shutdown preempted the stuck call + # instead of only being observed after it (eventually) produced an update. + with pytest.raises(ResponseExitForRecovery): + await asyncio.wait_for(pending, timeout=1.0) + assert inner.cancelled.is_set() assert inner.run_count == 1 From 57cdbf6b49c3f91d9aade72baca05b45da023a58 Mon Sep 17 00:00:00 2001 From: Jose Alvarez Date: Fri, 18 Sep 2026 14:12:12 +0000 Subject: [PATCH 05/30] Python: [BREAKING] preserve expression results in SendActivity output (#8509) * Python: preserve expression results in SendActivity output Emit evaluated expressions as data while retaining authored-template interpolation. Add regression coverage for string and mapping activity forms. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: preserve expression results in SendActivity output Emit evaluated expressions as data while retaining authored-template interpolation. Add regression coverage for string and mapping activity forms. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> (cherry picked from commit e52b5c7473b59a9ddf270d07b15f45400d3e74f3) * Python: document and test SendActivity output migration Cover authored templates and explicit expressions in both activity forms, and document the intentional single-pass expression output contract. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: keep SendActivity guidance with the executor Move the concise migration examples into the class documentation and remove the detailed package README section. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --- .../_workflows/_executors_basic.py | 13 +++--- .../declarative/tests/test_graph_coverage.py | 41 +++++++++++++++++-- 2 files changed, 45 insertions(+), 9 deletions(-) diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_basic.py b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_basic.py index 7ce1d0f0899..2646ae191de 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_basic.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_basic.py @@ -224,6 +224,13 @@ class SendActivityExecutor(DeclarativeActionExecutor): """Executor for the SendActivity action. Sends a text message or activity as workflow output. + Authored text starting with ``=`` is evaluated and its result is emitted as data. + Other authored text supports ``{Variable.Path}`` template interpolation. + + Expression results are not interpolated again. To migrate text that relied on + a second pass, author the template directly (``Hello, {Local.name}!``) or build + the final text in the expression (``="Hello, " & Local.name & "!"``). + Both forms work as a string activity or as a mapping's ``text`` field. """ @handler @@ -244,11 +251,7 @@ async def handle_action( text = activity if isinstance(text, str): - # First evaluate any =expression syntax - text = state.eval_if_expression(text) - # Then interpolate any {Variable.Path} template syntax - if isinstance(text, str): - text = state.interpolate_string(text) + text = state.eval_if_expression(text) if text.startswith("=") else state.interpolate_string(text) # Yield the text as workflow output if text: diff --git a/python/packages/declarative/tests/test_graph_coverage.py b/python/packages/declarative/tests/test_graph_coverage.py index 2d0b5cae2b1..a2f5fd89a49 100644 --- a/python/packages/declarative/tests/test_graph_coverage.py +++ b/python/packages/declarative/tests/test_graph_coverage.py @@ -556,8 +556,20 @@ async def test_clear_all_variables_executor(self, mock_context, mock_state): assert state.get("Local.a") is None assert state.get("Local.b") is None - async def test_send_activity_with_dict_activity(self, mock_context, mock_state): - """Test SendActivityExecutor with dict activity containing text field.""" + @_requires_powerfx + @pytest.mark.parametrize( + "activity", + [ + "Hello, {Local.name}!", + {"text": "Hello, {Local.name}!"}, + '="Hello, " & Local.name & "!"', + {"text": '="Hello, " & Local.name & "!"'}, + ], + ) + async def test_send_activity_with_authored_greeting( + self, mock_context: MagicMock, mock_state: MagicMock, activity: str | dict[str, str] + ) -> None: + """Authored templates and explicit expressions support the same greeting.""" from agent_framework_declarative._workflows._executors_basic import ( SendActivityExecutor, ) @@ -568,12 +580,12 @@ async def test_send_activity_with_dict_activity(self, mock_context, mock_state): action_def = { "kind": "SendActivity", - "activity": {"text": "Hello, {Local.name}!"}, + "activity": activity, } executor = SendActivityExecutor(action_def) await executor.handle_action(ActionTrigger(), mock_context) - mock_context.yield_output.assert_called_once_with("Hello, Alice!") + mock_context.yield_output.assert_awaited_once_with("Hello, Alice!") async def test_send_activity_with_string_activity(self, mock_context, mock_state): """Test SendActivityExecutor with string activity.""" @@ -613,6 +625,27 @@ async def test_send_activity_with_expression(self, mock_context, mock_state): mock_context.yield_output.assert_called_once_with("Dynamic message") + @_requires_powerfx + @pytest.mark.parametrize("activity", ["=Local.msg", {"text": "=Local.msg"}]) + async def test_send_activity_preserves_expression_result( + self, mock_context: MagicMock, mock_state: MagicMock, activity: str | dict[str, str] + ) -> None: + """Expression results are output data, not authored templates.""" + from agent_framework_declarative._workflows._executors_basic import ( + SendActivityExecutor, + ) + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + message = "Keep {Local.marker} as text." + state.set("Local.msg", message) + state.set("Local.marker", "fixture value") + + executor = SendActivityExecutor({"kind": "SendActivity", "activity": activity}) + await executor.handle_action(ActionTrigger(), mock_context) + + mock_context.yield_output.assert_awaited_once_with(message) + # --------------------------------------------------------------------------- # Agent Executors Tests - Covering _executors_agents.py gaps From 7147b2528e67c9a0c01a7d5a9570db669239d102 Mon Sep 17 00:00:00 2001 From: Jose Alvarez Date: Fri, 18 Sep 2026 14:12:22 +0000 Subject: [PATCH 06/30] Python: avoid repeated workflow reference traversal (#8510) * Python: avoid repeated workflow reference traversal Walk shared workflow mappings and lists once by identity, preserve environment-reference discovery, and reject ancestor cycles with a definition error. Add deterministic regressions and document the discovery contract. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: avoid repeated workflow reference traversal Walk shared workflow mappings and lists once by identity, preserve environment-reference discovery, and reject ancestor cycles with a definition error. Add deterministic regressions and document the discovery contract. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: type the shared workflow definition test fixture Declare the heterogeneous workflow fixture as dict[str, Any] so all test type checkers can validate its nested immutability assertions without changing runtime behavior. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: keep workflow discovery details in API docstrings Remove the detailed traversal section from the package README. Keep traversal limitations with the helper and document cycle errors on workflow creation methods. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --- .../_workflows/_declarative_base.py | 46 +++++-- .../_workflows/_factory.py | 9 +- .../tests/test_workflow_factory.py | 119 ++++++++++++++++++ 3 files changed, 161 insertions(+), 13 deletions(-) diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py b/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py index 7b346f12a4b..402baea1868 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py @@ -45,6 +45,8 @@ ) from agent_framework._workflows._state import State +from ._errors import DeclarativeWorkflowError + try: from powerfx import Engine except (ImportError, RuntimeError): @@ -197,6 +199,10 @@ def discover_env_references(node: Any) -> set[str]: happen to mention ``Env.SOMETHING`` as plain text, the scan only inspects strings that begin with ``=`` (PowerFx expression marker, matching the convention enforced by :meth:`DeclarativeWorkflowState.eval`). + Shared containers are scanned once by identity without Python recursion. + Cyclic mappings and lists are rejected rather than silently skipped. + This avoids repeated container traversal, but does not impose a definition-size, + depth, parsing-time, or execution budget. Args: node: A parsed workflow definition (typically the dict produced by @@ -205,23 +211,43 @@ def discover_env_references(node: Any) -> set[str]: Returns: The set of ``Env`` identifier names referenced in PowerFx expressions inside ``node``. + + Raises: + DeclarativeWorkflowError: If the definition contains a mapping/list cycle. """ names: set[str] = set() + active: set[int] = set() + # Retain containers so their identities cannot be reused during the walk. + visited: dict[int, Mapping[Any, Any] | list[Any]] = {} + stack: list[tuple[int | None, Iterator[Any]]] = [(None, iter((node,)))] - def visit(value: Any) -> None: + while stack: + parent_id, children = stack[-1] + try: + value = next(children) + except StopIteration: + stack.pop() + if parent_id is not None: + active.remove(parent_id) + continue if isinstance(value, str): if value.startswith("="): names.update(_ENV_REFERENCE_RE.findall(value)) - return - if isinstance(value, Mapping): - for inner in cast(Mapping[Any, Any], value).values(): - visit(inner) - return - if isinstance(value, list): - for item in cast(list[Any], value): - visit(item) + continue + if not isinstance(value, (Mapping, list)): + continue + + container = cast(Mapping[Any, Any] | list[Any], value) + container_id = id(container) + if container_id in active: + raise DeclarativeWorkflowError("Cyclic mappings or lists are not supported in workflow definitions.") + if container_id in visited: + continue + visited[container_id] = container + active.add(container_id) + children = iter(container.values()) if isinstance(container, Mapping) else iter(container) + stack.append((container_id, children)) - visit(node) return names diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_factory.py b/python/packages/declarative/agent_framework_declarative/_workflows/_factory.py index 419065a1303..0b3be5de94f 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_factory.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_factory.py @@ -210,7 +210,8 @@ def create_workflow_from_yaml_path( An executable Workflow object with action nodes for each YAML action. Raises: - DeclarativeWorkflowError: If the YAML is invalid or cannot be parsed. + DeclarativeWorkflowError: If the YAML is invalid, cannot be parsed, or + environment-reference discovery encounters a mapping/list cycle. FileNotFoundError: If the YAML file doesn't exist. Examples: @@ -262,7 +263,8 @@ def create_workflow_from_yaml( An executable Workflow object with action nodes for each YAML action. Raises: - DeclarativeWorkflowError: If the YAML is invalid or cannot be parsed. + DeclarativeWorkflowError: If the YAML is invalid, cannot be parsed, or + environment-reference discovery encounters a mapping/list cycle. Examples: .. code-block:: python @@ -338,7 +340,8 @@ def create_workflow_from_definition( An executable Workflow object with action nodes for each YAML action. Raises: - DeclarativeWorkflowError: If the definition is invalid or missing required fields. + DeclarativeWorkflowError: If the definition is invalid, is missing required + fields, or environment-reference discovery encounters a mapping/list cycle. Examples: .. code-block:: python diff --git a/python/packages/declarative/tests/test_workflow_factory.py b/python/packages/declarative/tests/test_workflow_factory.py index eee4b6b6734..034782a2968 100644 --- a/python/packages/declarative/tests/test_workflow_factory.py +++ b/python/packages/declarative/tests/test_workflow_factory.py @@ -2,14 +2,23 @@ """Unit tests for WorkflowFactory.""" +from collections import UserDict +from collections.abc import Iterator, ValuesView +from copy import deepcopy from pathlib import Path +from types import MappingProxyType from typing import Any, cast from unittest.mock import patch import pytest +import yaml from agent_framework import Message from agent_framework_declarative._feature_usage import FeatureIndex +from agent_framework_declarative._workflows._declarative_base import ( + DeclarativeActionExecutor, + discover_env_references, +) from agent_framework_declarative._workflows._errors import DeclarativeWorkflowError from agent_framework_declarative._workflows._factory import WorkflowFactory @@ -89,6 +98,116 @@ def test_valid_workflow_marks_declarative_workflow_used(self): mark_feature_used.assert_called_once_with(FeatureIndex.DECLARATIVE_WORKFLOW) +class TestWorkflowEnvironmentDiscovery: + """Environment discovery preserves shared definitions without expanding them repeatedly.""" + + def test_shared_containers_are_scanned_once(self) -> None: + class CountingMapping(UserDict[str, Any]): + visits = 0 + + def values(self) -> ValuesView[Any]: + self.visits += 1 + return super().values() + + class CountingList(list[Any]): + visits = 0 + + def __iter__(self) -> Iterator[Any]: + self.visits += 1 + return super().__iter__() + + leaf = CountingMapping({"expression": "=Env.SHARED & Env.SHARED"}) + shared_list = CountingList([leaf]) + shared = [shared_list, shared_list, leaf, {"expression": "=Env.OTHER"}] + tree = [[dict(leaf)], [dict(leaf)], dict(leaf), {"expression": "=Env.OTHER"}] + + assert discover_env_references(shared) == discover_env_references(tree) == {"SHARED", "OTHER"} + assert leaf.visits == 1 + assert shared_list.visits == 1 + assert shared == tree + assert shared[0] is shared[1] + assert shared_list[0] is leaf + + def test_only_expression_values_contribute_names(self) -> None: + definition = { + "=Env.KEY": "Env.PLAIN", + "nested": [MappingProxyType({"value": "=Env.FIRST & Env.SECOND"}), {"value": "=Env.FIRST"}], + "ignored": [None, 7, False, " =Env.LEADING", "Env.TEXT"], + } + + assert discover_env_references(definition) == {"FIRST", "SECOND"} + + @pytest.mark.parametrize("source", ["definition", "yaml"]) + @pytest.mark.parametrize("cycle_kind", ["mapping", "list"]) + def test_cycles_raise_definition_error(self, source: str, cycle_kind: str) -> None: + metadata: dict[str, Any] = {"value": "not-for-error-output"} + if cycle_kind == "mapping": + metadata["child"] = {"parent": metadata} + else: + child: list[Any] = [] + child.append(child) + metadata["child"] = child + definition = { + "name": "cycle-check", + "actions": [{"kind": "SendActivity", "activity": "done"}], + "metadata": metadata, + } + factory = WorkflowFactory() + + with pytest.raises(DeclarativeWorkflowError) as exc_info: + if source == "yaml": + factory.create_workflow_from_yaml(yaml.safe_dump(definition)) + else: + factory.create_workflow_from_definition(definition) + + assert str(exc_info.value) == "Cyclic mappings or lists are not supported in workflow definitions." + assert metadata["value"] == "not-for-error-output" + if cycle_kind == "mapping": + mapping_child = metadata["child"] + assert isinstance(mapping_child, dict) + assert mapping_child["parent"] is metadata + else: + list_child = metadata["child"] + assert isinstance(list_child, list) + assert list_child[0] is list_child + + @pytest.mark.parametrize("source", ["definition", "yaml"]) + @pytest.mark.parametrize("restrict_env", [True, False]) + def test_shared_aliases_preserve_env_configuration( + self, source: str, restrict_env: bool, monkeypatch: pytest.MonkeyPatch + ) -> None: + monkeypatch.setenv("DISCOVERY_CONFIG", "environment") + monkeypatch.setenv("DISCOVERY_FALLBACK", "fallback") + monkeypatch.setenv("DISCOVERY_UNREFERENCED", "not-exposed") + shared = {"value": "=Env.DISCOVERY_CONFIG & Env.DISCOVERY_FALLBACK"} + definition: dict[str, Any] = { + "name": "shared-references", + "trigger": {"actions": [{"kind": "SendActivity", "activity": "done"}]}, + "metadata": [shared, shared], + } + original = deepcopy(definition) + factory = WorkflowFactory( + configuration={"DISCOVERY_CONFIG": "configured"}, + restrict_env_to_configuration=restrict_env, + ) + if source == "yaml": + workflow = factory.create_workflow_from_yaml(yaml.safe_dump(definition)) + else: + workflow = factory.create_workflow_from_definition(definition) + + executor = workflow.get_start_executor() + assert isinstance(executor, DeclarativeActionExecutor) + config = executor._declarative_env_config + assert config.referenced_names == {"DISCOVERY_CONFIG", "DISCOVERY_FALLBACK"} + expected = {"DISCOVERY_CONFIG": "configured"} + if not restrict_env: + expected["DISCOVERY_FALLBACK"] = "fallback" + assert config.resolve() == expected + assert definition == original + assert definition["metadata"][0] is definition["metadata"][1] + assert shared == original["metadata"][0] + + class TestWorkflowFactoryMessageInput: """Tests for declarative workflows started with a single Message.""" From f99fcc7005f3f453721dc7a60b08ff4e93fe737e Mon Sep 17 00:00:00 2001 From: Jose Alvarez Date: Fri, 18 Sep 2026 14:13:11 +0000 Subject: [PATCH 07/30] Python: evaluate autoSend expressions before emitting output (#8508) * Python: evaluate autoSend expressions before emitting output Evaluate configured autoSend values against workflow state in function-tool and agent actions. Preserve output bindings, defaults, and resume behavior, and cover automatic output with local regression tests. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: evaluate autoSend expressions before emitting output Evaluate configured autoSend values against workflow state in function-tool and agent actions. Preserve output bindings, defaults, and resume behavior, and cover automatic output with local regression tests. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: refresh autoSend decisions when resuming actions Defer tool output expression evaluation until execution is approved, and reevaluate agent output expressions on resumed turns. Cover changed-state and evaluator-error cases without changing stored output bindings. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: keep autoSend details in executor docstrings Remove the granular automatic-output section from the package README and document the behavior alongside the executor classes and approval handler. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --- .../_workflows/_executors_agents.py | 20 +- .../_workflows/_executors_tools.py | 25 ++- .../tests/test_function_tool_executor.py | 121 +++++++++++- .../declarative/tests/test_graph_coverage.py | 180 +++++++++++++++++- 4 files changed, 325 insertions(+), 21 deletions(-) diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py index a7dfe340bf6..458b2b714a4 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py @@ -506,6 +506,13 @@ def _normalize_variable_path(variable: str) -> str: class InvokeAzureAgentExecutor(DeclarativeActionExecutor): """Executor that invokes a Microsoft Foundry agent. + ``output.autoSend`` defaults to true and accepts a Boolean or a + ``=``-prefixed PowerFx Boolean expression, such as ``=Local.publishResult``. + Expressions use current state before each invocation, including resumed + external-loop turns. False suppresses automatic output, not invocation, + result storage or conversation history; later actions can explicitly emit + the stored results. + This executor supports both Python-style and .NET-style YAML schemas: Python-style (simple): @@ -615,8 +622,8 @@ def _get_input_config(self) -> tuple[dict[str, Any], Any, str | None, int]: return arguments, messages, external_loop_when, max_iterations - def _get_output_config(self) -> tuple[str | None, str | None, str | None, bool]: - """Parse output configuration. + def _get_output_config(self, state: DeclarativeWorkflowState) -> tuple[str | None, str | None, str | None, bool]: + """Parse output bindings and evaluate autoSend against the current state. Returns: Tuple of (messages var, responseObject var, resultProperty, autoSend) @@ -637,7 +644,7 @@ def _get_output_config(self) -> tuple[str | None, str | None, str | None, bool]: property_val: Any = output_dict.get("property") property_var: str | None = str(property_val) if property_val is not None else None auto_send_val: Any = output_dict.get("autoSend", True) - auto_send: bool = bool(auto_send_val) + auto_send: bool = bool(state.eval_if_expression(auto_send_val)) return messages_var, response_obj_var, property_var or result_property, auto_send @@ -925,7 +932,7 @@ async def handle_action( logger.debug("handle_action: starting agent '%s'", agent_name) arguments, messages_expr, external_loop_when, max_iterations = self._get_input_config() - messages_var, response_obj_var, result_property, auto_send = self._get_output_config() + messages_var, response_obj_var, result_property, auto_send = self._get_output_config(state) # Get conversation-specific messages path if conversationId is specified conversation_id_expr = self._get_conversation_id() @@ -1095,6 +1102,9 @@ async def handle_external_input_response( f"Agent '{agent_name}' invocation failed: not found during loop resumption" ) + _, _, _, auto_send = self._get_output_config(state) + loop_state.auto_send = auto_send + try: accumulated_response, all_messages, tool_calls = await self._invoke_agent_and_store_results( agent=agent, @@ -1105,7 +1115,7 @@ async def handle_external_input_response( messages_var=loop_state.messages_var, response_obj_var=loop_state.response_obj_var, result_property=loop_state.result_property, - auto_send=loop_state.auto_send, + auto_send=auto_send, messages_path=loop_state.messages_path, ) except (AgentInvalidRequestException, AgentInvalidResponseException): diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py index 163d22824e6..1d642c91c3a 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_tools.py @@ -243,24 +243,23 @@ def _get_tool( return None - def _get_output_config(self) -> tuple[str | None, str | None, bool]: - """Parse output configuration from action definition. + def _get_output_config(self) -> tuple[str | None, str | None, Any]: + """Parse output bindings and the unevaluated autoSend setting. Returns: - Tuple of (messages_var, result_var, auto_send) + Tuple of (messages_var, result_var, auto_send_expr) """ - output_config: dict[str, str | bool] = self._action_def.get("output", {}) + output_config: dict[str, Any] = self._action_def.get("output", {}) if not isinstance(output_config, Mapping): return None, None, True messages_var = output_config.get("messages") result_var = output_config.get("result") - auto_send = bool(output_config.get("autoSend", True)) return ( str(messages_var) if messages_var else None, str(result_var) if result_var else None, - auto_send, + output_config.get("autoSend", True), ) def _store_result( @@ -443,7 +442,7 @@ async def handle_action( state = await self._ensure_state_initialized(ctx, trigger) # Parse output configuration early so we can store errors - messages_var, result_var, auto_send = self._get_output_config() + messages_var, result_var, auto_send_expr = self._get_output_config() # Get and evaluate function name (required) function_name_expr = self._action_def.get("functionName") @@ -496,6 +495,7 @@ async def handle_action( return # No approval required - invoke directly + auto_send = bool(state.eval_if_expression(auto_send_expr)) result = await self._execute_tool_invocation( function_name=function_name, arguments=arguments, @@ -521,12 +521,14 @@ async def handle_approval_response( ``function_name`` and ``arguments`` are sourced from ``original_request`` (the payload the reviewer approved); output configuration is re-derived from the executor's action definition. + Rejected calls store the rejection and complete without evaluating + ``autoSend``. """ state = self._get_state(ctx.state) function_name = original_request.function_name arguments = original_request.arguments - messages_var, result_var, auto_send = self._get_output_config() + messages_var, result_var, auto_send_expr = self._get_output_config() # Check if approved if response.approved is not True: @@ -551,6 +553,7 @@ async def handle_approval_response( return # Approved - execute the invocation + auto_send = bool(state.eval_if_expression(auto_send_expr)) result = await self._execute_tool_invocation( function_name=function_name, arguments=arguments, @@ -572,6 +575,12 @@ async def handle_approval_response( class InvokeFunctionToolExecutor(BaseToolExecutor): """Executor that invokes a Python function as a tool. + ``output.autoSend`` defaults to true and accepts a Boolean or a + ``=``-prefixed PowerFx Boolean expression, such as ``=Local.publishResult``. + Expressions use current state immediately before direct or approved + invocation. False suppresses automatic output, not tool execution or result + storage; later actions can explicitly emit the stored results. + This executor supports invoking registered Python functions with: - Expression evaluation for functionName and arguments - Optional approval flow (yield/resume pattern) diff --git a/python/packages/declarative/tests/test_function_tool_executor.py b/python/packages/declarative/tests/test_function_tool_executor.py index 791fcaa4b1d..3982831a9fc 100644 --- a/python/packages/declarative/tests/test_function_tool_executor.py +++ b/python/packages/declarative/tests/test_function_tool_executor.py @@ -38,6 +38,7 @@ ActionComplete, ActionTrigger, DeclarativeWorkflowBuilder, + DeclarativeWorkflowState, InvokeFunctionToolExecutor, ToolApprovalRequest, ToolApprovalResponse, @@ -580,9 +581,24 @@ def sum_list(numbers: list) -> int: assert any("15" in out for out in outputs) - @pytest.mark.asyncio - async def test_auto_send_disabled(self): - """Test autoSend=false prevents automatic output yielding.""" + @pytest.mark.parametrize( + ("output_config", "expected_auto_send"), + [ + ({}, True), + ({"autoSend": True}, True), + ({"autoSend": False}, False), + ({"autoSend": None}, False), + ({"autoSend": "=true"}, True), + ({"autoSend": "=false"}, False), + ({"autoSend": "=Local.send"}, False), + ({"autoSend": "=Not(Local.send)"}, True), + ({"autoSend": "=Blank()"}, False), + ({"autoSend": "=Local.missing"}, False), + ({"autoSend": "false"}, True), + ], + ) + async def test_auto_send(self, output_config: dict[str, Any], expected_auto_send: bool) -> None: + """Evaluate autoSend without suppressing explicitly requested output.""" def echo_id(msg: str) -> str: return msg @@ -590,12 +606,13 @@ def echo_id(msg: str) -> str: yaml_def = { "name": "auto_send_disabled_test", "actions": [ + {"kind": "SetValue", "id": "set_send", "path": "Local.send", "value": False}, { "kind": "InvokeFunctionTool", "id": "call_no_auto_send", "functionName": "echo_id", "arguments": {"msg": "hello"}, - "output": {"result": "Local.result", "autoSend": False}, + "output": {"result": "Local.result", **output_config}, }, {"kind": "SendActivity", "id": "output", "activity": {"text": "=Local.result"}}, ], @@ -607,8 +624,7 @@ def echo_id(msg: str) -> str: events = await workflow.run({}) outputs = events.get_outputs() - # Result should still be available via explicit SendActivity - assert "hello" in outputs + assert outputs == ["hello"] * (2 if expected_auto_send else 1) @pytest.mark.asyncio async def test_function_with_only_result_output(self): @@ -1038,6 +1054,99 @@ def _init_state(self, mock_state: MagicMock) -> None: "Conversation": {"messages": [], "history": []}, } + @pytest.mark.parametrize("approved", [True, False]) + @pytest.mark.parametrize("send", [True, False]) + async def test_auto_send_on_approval_resume( + self, mock_state: MagicMock, mock_context: MagicMock, approved: bool, send: bool + ) -> None: + state = DeclarativeWorkflowState(mock_state) + state.initialize() + state.set("Local.send", not send) + tool = MagicMock(return_value="hello") + executor = InvokeFunctionToolExecutor( + { + "kind": "InvokeFunctionTool", + "id": "auto_send_approval", + "functionName": "echo", + "requireApproval": True, + "output": { + "result": "Local.result", + "messages": "Local.messages", + "autoSend": "=Local.send", + }, + }, + tools={"echo": tool}, + ) + + await executor.handle_action(ActionTrigger(), mock_context) + tool.assert_not_called() + mock_context.yield_output.assert_not_awaited() + request = mock_context.request_info.call_args[0][0] + state.set("Local.send", send) + + await executor.handle_approval_response(request, ToolApprovalResponse(approved=approved), mock_context) + + if approved: + tool.assert_called_once_with() + assert state.get("Local.result") == "hello" + assert len(state.get("Local.messages")) == 2 + else: + tool.assert_not_called() + assert state.get("Local.result")["rejected"] is True + if approved and send: + mock_context.yield_output.assert_awaited_once_with("hello") + else: + mock_context.yield_output.assert_not_awaited() + mock_context.send_message.assert_awaited_once() + + @pytest.mark.parametrize("approved", [False, True]) + @pytest.mark.parametrize("missing_engine", [False, True]) + async def test_auto_send_error_after_approval_request( + self, + mock_state: MagicMock, + mock_context: MagicMock, + monkeypatch: pytest.MonkeyPatch, + approved: bool, + missing_engine: bool, + ) -> None: + state = DeclarativeWorkflowState(mock_state) + state.initialize() + state.set("Local.send", 1) + tool = MagicMock(return_value="hello") + executor = InvokeFunctionToolExecutor( + { + "kind": "InvokeFunctionTool", + "functionName": "echo", + "requireApproval": True, + "output": { + "result": "Local.result", + "messages": "Local.messages", + "autoSend": "=Local.send + 1 > 0", + }, + }, + tools={"echo": tool}, + ) + await executor.handle_action(ActionTrigger(), mock_context) + request = mock_context.request_info.call_args[0][0] + if missing_engine: + monkeypatch.setattr("agent_framework_declarative._workflows._declarative_base.Engine", None) + else: + state.set("Local.send", {"unexpected": "record"}) + response = ToolApprovalResponse(approved=approved, reason="Declined") + + if approved: + with pytest.raises(RuntimeError if missing_engine else ValueError): + await executor.handle_approval_response(request, response, mock_context) + mock_context.send_message.assert_not_awaited() + else: + await executor.handle_approval_response(request, response, mock_context) + assert state.get("Local.result") == {"approved": False, "rejected": True, "reason": "Declined"} + assert len(state.get("Local.messages")) == 1 + mock_context.send_message.assert_awaited_once() + assert isinstance(mock_context.send_message.call_args[0][0], ActionComplete) + tool.assert_not_called() + mock_context.yield_output.assert_not_awaited() + @pytest.mark.asyncio async def test_approval_required_emits_request(self, mock_state, mock_context): """When requireApproval=true, handle_action should emit ToolApprovalRequest and return.""" diff --git a/python/packages/declarative/tests/test_graph_coverage.py b/python/packages/declarative/tests/test_graph_coverage.py index a2f5fd89a49..fe4c6e7060a 100644 --- a/python/packages/declarative/tests/test_graph_coverage.py +++ b/python/packages/declarative/tests/test_graph_coverage.py @@ -869,7 +869,9 @@ async def test_agent_executor_get_output_config_simple(self, mock_context, mock_ } executor = InvokeAzureAgentExecutor(action_def) - messages_var, response_obj, result_prop, auto_send = executor._get_output_config() + messages_var, response_obj, result_prop, auto_send = executor._get_output_config( + DeclarativeWorkflowState(mock_state) + ) assert messages_var is None assert response_obj is None assert result_prop == "Local.result" @@ -893,7 +895,9 @@ async def test_agent_executor_get_output_config_full(self, mock_context, mock_st } executor = InvokeAzureAgentExecutor(action_def) - messages_var, response_obj, result_prop, auto_send = executor._get_output_config() + messages_var, response_obj, result_prop, auto_send = executor._get_output_config( + DeclarativeWorkflowState(mock_state) + ) assert messages_var == "Local.ResponseMessages" assert response_obj == "Local.ParsedResponse" assert result_prop == "Local.result" @@ -1807,6 +1811,178 @@ async def test_request_external_input_reads_top_level_alternates(self, mock_cont class TestAgentExternalLoopCoverage: """Tests for agent executor external loop handling.""" + @_requires_powerfx + @pytest.mark.parametrize("string_result", [False, True]) + @pytest.mark.parametrize( + ("output_config", "expected_auto_send"), + [ + ({}, True), + ({"autoSend": True}, True), + ({"autoSend": False}, False), + ({"autoSend": None}, False), + ({"autoSend": "=true"}, True), + ({"autoSend": "=false"}, False), + ({"autoSend": "=Local.send"}, False), + ({"autoSend": "=Not(Local.send)"}, True), + ({"autoSend": "=Blank()"}, False), + ({"autoSend": "=Local.missing"}, False), + ({"autoSend": "false"}, True), + ], + ) + async def test_agent_auto_send( + self, + mock_context: MagicMock, + mock_state: MagicMock, + output_config: dict[str, Any], + expected_auto_send: bool, + string_result: bool, + ) -> None: + from types import SimpleNamespace + + from agent_framework_declarative._workflows._executors_agents import InvokeAzureAgentExecutor + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + state.set("Local.send", False) + result = "hello" if string_result else SimpleNamespace(text="hello", messages=[], tool_calls=[]) + agent = MagicMock(run=AsyncMock(return_value=result)) + executor = InvokeAzureAgentExecutor( + { + "kind": "InvokeAzureAgent", + "agent": "TestAgent", + "input": "question", + "resultProperty": "Local.result", + "output": {"messages": "Local.messages", **output_config}, + }, + agents={"TestAgent": agent}, + ) + + await executor.handle_action(ActionTrigger(), mock_context) + + agent.run.assert_awaited_once() + if expected_auto_send: + mock_context.yield_output.assert_awaited_once_with("hello") + else: + mock_context.yield_output.assert_not_awaited() + assert state.get("Local.result") == "hello" + assert state.get("Local.messages") == "hello" + assert state.get("Conversation.messages")[-1].text == "hello" + mock_context.send_message.assert_awaited_once() + + @_requires_powerfx + @pytest.mark.parametrize("send", [False, True]) + async def test_agent_auto_send_on_external_loop_resume( + self, mock_context: MagicMock, mock_state: MagicMock, send: bool + ) -> None: + from agent_framework_declarative._workflows._executors_agents import ( + AgentExternalInputResponse, + InvokeAzureAgentExecutor, + ) + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + state.set("Local.send", send) + agent = MagicMock(run=AsyncMock(return_value="hello")) + executor = InvokeAzureAgentExecutor( + { + "kind": "InvokeAzureAgent", + "agent": "TestAgent", + "input": {"externalLoop": {"when": "=true"}}, + "output": {"property": "Local.result", "autoSend": "=Local.send"}, + }, + agents={"TestAgent": agent}, + ) + + await executor.handle_action(ActionTrigger(), mock_context) + request = mock_context.request_info.call_args[0][0] + state.set("Local.send", not send) + mock_context.yield_output.reset_mock() + + await executor.handle_external_input_response( + request, AgentExternalInputResponse(user_input="continue"), mock_context + ) + + assert agent.run.await_count == 2 + if not send: + mock_context.yield_output.assert_awaited_once_with("hello") + else: + mock_context.yield_output.assert_not_awaited() + assert state.get("Local.result") == "hello" + + @_requires_powerfx + async def test_agent_auto_send_error_on_external_loop_resume( + self, mock_context: MagicMock, mock_state: MagicMock + ) -> None: + from agent_framework_declarative._workflows._executors_agents import ( + AgentExternalInputResponse, + InvokeAzureAgentExecutor, + ) + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + state.set("Local.send", 1) + agent = MagicMock(run=AsyncMock(return_value="hello")) + executor = InvokeAzureAgentExecutor( + { + "kind": "InvokeAzureAgent", + "agent": "TestAgent", + "input": {"externalLoop": {"when": "=true"}}, + "output": {"autoSend": "=Local.send + 1 > 0"}, + }, + agents={"TestAgent": agent}, + ) + await executor.handle_action(ActionTrigger(), mock_context) + request = mock_context.request_info.call_args[0][0] + state.set("Local.send", {"unexpected": "record"}) + mock_context.yield_output.reset_mock() + + with pytest.raises(ValueError): + await executor.handle_external_input_response( + request, AgentExternalInputResponse(user_input="continue"), mock_context + ) + + agent.run.assert_awaited_once() + mock_context.yield_output.assert_not_awaited() + + @_requires_powerfx + @pytest.mark.parametrize("kind", ["InvokeFunctionTool", "InvokeAzureAgent"]) + @pytest.mark.parametrize("missing_engine", [False, True]) + async def test_auto_send_evaluation_error_prevents_invocation( + self, + mock_context: MagicMock, + mock_state: MagicMock, + monkeypatch: pytest.MonkeyPatch, + kind: str, + missing_engine: bool, + ) -> None: + from agent_framework_declarative._workflows._executors_agents import InvokeAzureAgentExecutor + from agent_framework_declarative._workflows._executors_tools import InvokeFunctionToolExecutor + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + tool = MagicMock(return_value="hello") + agent = MagicMock(run=AsyncMock(return_value="hello")) + action_def = { + "kind": kind, + "agent": "TestAgent", + "functionName": "echo", + "output": {"autoSend": "=true" if missing_engine else "=1 +"}, + } + executor = ( + InvokeFunctionToolExecutor(action_def, tools={"echo": tool}) + if kind == "InvokeFunctionTool" + else InvokeAzureAgentExecutor(action_def, agents={"TestAgent": agent}) + ) + if missing_engine: + monkeypatch.setattr("agent_framework_declarative._workflows._declarative_base.Engine", None) + + with pytest.raises(RuntimeError if missing_engine else ValueError): + await executor.handle_action(ActionTrigger(), mock_context) + + tool.assert_not_called() + agent.run.assert_not_awaited() + mock_context.yield_output.assert_not_awaited() + @_requires_powerfx async def test_agent_executor_with_external_loop(self, mock_context, mock_state): """Test agent executor with external loop that triggers.""" From f2ba5048ebc2f0ae965d2a6d08a776c150489ac7 Mon Sep 17 00:00:00 2001 From: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Date: Fri, 18 Sep 2026 14:36:44 +0000 Subject: [PATCH 08/30] .NET: Preserve harness middleware for dynamic tools (#8402) * fix: preserve dynamic function middleware Keep harness callbacks consistent as tool collections change. Preserve existing function wrappers and request-local composition without coupling reusable options to agent instances. * fix: compose harness middleware across clients Keep callback composition independent of client service discovery. Use request-local execution scopes without changing reusable options. Cover scope restoration and tool repair after collection updates. * fix: retain middleware through options clones Keep harness callback composition consistent across function-loop iterations by retaining the full chain on function wrappers. Cover real client-driven clones, repeated calls and approval flows. * test: extend dynamic tool middleware coverage Cover Python harness callback consistency across progressive tool loading, continuation changes, failures, approvals and reused options. * test: simplify streaming response collection * fix: preserve harness pipeline boundaries Build callback chains around factory results instead of sharing them between active client calls. Track active invocation callbacks across opaque function decorators while preserving explicit continuations. Cover replacement factories, captured clients and failure cleanup. * docs(dotnet): explain function callback flow Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --- .../FunctionInvocationDelegatingAgent.cs | 207 ++- ...ocationDelegatingAgentBuilderExtensions.cs | 6 + .../FunctionInvocationDelegatingAgentTests.cs | 1138 +++++++++++++++++ .../core/test_function_invocation_logic.py | 396 +++++- 4 files changed, 1726 insertions(+), 21 deletions(-) diff --git a/dotnet/src/Microsoft.Agents.AI/FunctionInvocationDelegatingAgent.cs b/dotnet/src/Microsoft.Agents.AI/FunctionInvocationDelegatingAgent.cs index 13f15ff1e9f..5fdadda9264 100644 --- a/dotnet/src/Microsoft.Agents.AI/FunctionInvocationDelegatingAgent.cs +++ b/dotnet/src/Microsoft.Agents.AI/FunctionInvocationDelegatingAgent.cs @@ -2,7 +2,8 @@ using System; using System.Collections.Generic; -using System.Linq; +using System.Collections.ObjectModel; +using System.Runtime.CompilerServices; using System.Threading; using System.Threading.Tasks; using Microsoft.Extensions.AI; @@ -10,7 +11,7 @@ namespace Microsoft.Agents.AI; /// -/// Internal agent decorator that adds function invocation middleware logic. +/// Internal agent wrapper that gives callbacks control over function calls. /// internal sealed class FunctionInvocationDelegatingAgent : DelegatingAIAgent { @@ -27,11 +28,12 @@ protected override Task RunCoreAsync(IEnumerable mes protected override IAsyncEnumerable RunCoreStreamingAsync(IEnumerable messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) => this.InnerAgent.RunStreamingAsync(messages, session, this.AgentRunOptionsWithFunctionMiddleware(options), cancellationToken); - // Decorate options to add the middleware function - private AgentRunOptions? AgentRunOptionsWithFunctionMiddleware(AgentRunOptions? options) + // Work on a per-run copy so adding callback support does not change options that the caller may reuse. + private ChatClientAgentRunOptions AgentRunOptionsWithFunctionMiddleware(AgentRunOptions? options) { if (options is null || options.GetType() == typeof(AgentRunOptions)) { + // Plain agent options cannot hold a chat-client factory, so copy their shared values to chat-specific options. options = new ChatClientAgentRunOptions() { ResponseFormat = options?.ResponseFormat, @@ -40,6 +42,10 @@ protected override IAsyncEnumerable RunCoreStreamingAsync(I AdditionalProperties = options?.AdditionalProperties, }; } + else if (options is ChatClientAgentRunOptions chatOptions) + { + options = chatOptions.Clone(); + } if (options is not ChatClientAgentRunOptions aco) { @@ -47,42 +53,205 @@ protected override IAsyncEnumerable RunCoreStreamingAsync(I } var originalFactory = aco.ChatClientFactory; - aco.ChatClientFactory = chatClient => + // Apply the original factory before adding our wrapper so even a replacement client keeps these callbacks. + aco.ChatClientFactory = chatClient => FunctionMiddlewarePreservingChatClient.Build(chatClient, originalFactory, this); + + return aco; + } + + /// + /// Preserves the function middleware chain when tools are added or replaced during a run. + /// + private sealed class FunctionMiddlewarePreservingChatClient( + IChatClient innerClient, FunctionInvocationDelegatingAgent[] middlewareChain) : DelegatingChatClient(innerClient) + { + // Concurrent runs must not combine the callbacks collected while their clients are built. + private static readonly AsyncLocal s_buildScope = new(); + private readonly FunctionInvocationDelegatingAgent[] _middlewareChain = middlewareChain; + + internal static FunctionMiddlewarePreservingChatClient Build( + IChatClient chatClient, Func? originalFactory, FunctionInvocationDelegatingAgent middleware) + { + var previous = s_buildScope.Value; + // Nested agent wrappers build one client synchronously. Share their list only within the same run. + var scope = previous is not null && ReferenceEquals(previous.RunContext, CurrentRunContext) + ? previous + : new PipelineBuildScope(CurrentRunContext); + // Function wrapping reverses this list, so insert at the front to keep callbacks in registration order. + scope.Middleware.Insert(0, middleware); + s_buildScope.Value = scope; + try + { + var builder = chatClient.AsBuilder(); + if (originalFactory is not null) + { + builder.Use(originalFactory); + } + + return new FunctionMiddlewarePreservingChatClient(builder.Build(), [.. scope.Middleware]); + } + finally + { + // Restore the previous list so a later client build cannot reuse callbacks from this one. + s_buildScope.Value = previous; + } + } + + public override async Task GetResponseAsync( + IEnumerable messages, ChatOptions? options = null, CancellationToken cancellationToken = default) + => await this.InnerClient.GetResponseAsync(messages, this.ConfigureOptions(options), cancellationToken).ConfigureAwait(false); + + public override async IAsyncEnumerable GetStreamingResponseAsync( + IEnumerable messages, ChatOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default) { - var builder = chatClient.AsBuilder(); + await foreach (var update in this.InnerClient.GetStreamingResponseAsync(messages, this.ConfigureOptions(options), cancellationToken).ConfigureAwait(false)) + { + yield return update; + } + } + + private ChatOptions ConfigureOptions(ChatOptions? options) + { + // Each request gets its own options object, leaving caller-owned options unchanged. + options = options?.Clone() ?? new(); + if (options.Tools is { } tools) + { + // This collection also wraps functions that are added or replaced later in the same run. + options.Tools = new MiddlewareEnabledTools(tools, this._middlewareChain); + } + + return options; + } + + private sealed class PipelineBuildScope(AgentRunContext? runContext) + { + internal AgentRunContext? RunContext { get; } = runContext; + internal List Middleware { get; } = []; + } + } + + private sealed class MiddlewareEnabledTools : Collection + { + internal MiddlewareEnabledTools(IList tools, FunctionInvocationDelegatingAgent[] middleware) + { + this.MiddlewareChain = middleware; + // Add also wraps the functions already present, just as it will wrap functions added later. + foreach (var tool in tools) + { + this.Add(tool); + } + } + + internal FunctionInvocationDelegatingAgent[] MiddlewareChain { get; } - if (originalFactory is not null) + internal static void ApplyTo(ChatOptions options, FunctionInvocationDelegatingAgent[] middleware) + { + // Keep the current collection only when it already uses this exact callback list. + if (options.Tools is { } tools && + (tools is not MiddlewareEnabledTools existing || !ReferenceEquals(existing.MiddlewareChain, middleware))) { - builder.Use(originalFactory); + options.Tools = new MiddlewareEnabledTools(tools, middleware); } + } - return builder.ConfigureOptions(co - => co.Tools = co.Tools?.Select(tool => tool is AIFunction aiFunction - ? new MiddlewareEnabledFunction(this.InnerAgent, aiFunction, this._delegateFunc) - : tool) - .ToList()) - .Build(); - }; + // Route later additions and replacements through the same callback wrapping. + protected override void InsertItem(int index, AITool item) => base.InsertItem(index, this.Wrap(item)); - return options; + protected override void SetItem(int index, AITool item) => base.SetItem(index, this.Wrap(item)); + + private AITool Wrap(AITool tool) + { + if (tool is AIFunction function) + { + foreach (var middleware in this.MiddlewareChain) + { + function = MiddlewareEnabledFunction.Wrap(function, middleware, this.MiddlewareChain); + } + + return function; + } + + return tool; + } } - private sealed class MiddlewareEnabledFunction(AIAgent innerAgent, AIFunction innerFunction, Func>, CancellationToken, ValueTask> next) : DelegatingAIFunction(innerFunction) + private sealed class MiddlewareEnabledFunction( + AIFunction innerFunction, + FunctionInvocationDelegatingAgent middleware, + FunctionInvocationDelegatingAgent[] middlewareChain) : DelegatingAIFunction(innerFunction) { + // Keep active callbacks with the current asynchronous operation instead of sharing process-wide state. + private static readonly AsyncLocal s_invocationScope = new(); + private readonly FunctionInvocationDelegatingAgent _middleware = middleware; + private readonly FunctionInvocationDelegatingAgent[] _middlewareChain = middlewareChain; + + internal static AIFunction Wrap(AIFunction function, FunctionInvocationDelegatingAgent middleware, FunctionInvocationDelegatingAgent[] middlewareChain) + { + // Do not add the callback again when the function exposes an existing wrapper for it. + for (var existing = function.GetService(); + existing is not null; + existing = existing.InnerFunction.GetService()) + { + if (ReferenceEquals(existing._middleware, middleware)) + { + return function; + } + } + + return new MiddlewareEnabledFunction(function, middleware, middlewareChain); + } + protected override async ValueTask InvokeCoreAsync(AIFunctionArguments arguments, CancellationToken cancellationToken) { var context = FunctionInvokingChatClient.CurrentContext - ?? new FunctionInvocationContext() // When there is no ambient context, create a new one to hold the arguments + // Direct function calls have no context from FunctionInvokingChatClient, so create the values the callback expects. + ?? new FunctionInvocationContext() { Arguments = arguments, Function = this.InnerFunction, CallContent = new(string.Empty, this.InnerFunction.Name, new Dictionary(arguments)), }; - return await next(innerAgent, context, CoreLogicAsync, cancellationToken).ConfigureAwait(false); + var previous = s_invocationScope.Value; + // A custom function wrapper can lead back to this callback during the same call. Run it only once. + for (var active = previous; active is not null; active = active.Parent) + { + if (ReferenceEquals(active.Context, context) && ReferenceEquals(active.Middleware, this._middleware)) + { + return await CoreLogicAsync(context, cancellationToken).ConfigureAwait(false); + } + } + // Record the callback while it runs, including through wrappers that do not expose their inner function. + s_invocationScope.Value = new(context, this._middleware, previous); + + // ChatOptions.Clone keeps function wrappers but copies the tool list into a plain collection. + // In that case, use the callback list saved on this function. + var middlewareChain = (context.Options?.Tools as MiddlewareEnabledTools)?.MiddlewareChain ?? this._middlewareChain; + try + { + return await this._middleware._delegateFunc(this._middleware.InnerAgent, context, CoreLogicAsync, cancellationToken).ConfigureAwait(false); + } + finally + { + // A function or callback can replace the entire tool list. Wrap the replacement before the next call. + if (context.Options is { } options) + { + MiddlewareEnabledTools.ApplyTo(options, middlewareChain); + } + } + + // Continue with the next function wrapper using any arguments changed by the callback. ValueTask CoreLogicAsync(FunctionInvocationContext ctx, CancellationToken cancellationToken) => base.InvokeCoreAsync(ctx.Arguments, cancellationToken); } + + private sealed class InvocationScope( + FunctionInvocationContext context, FunctionInvocationDelegatingAgent middleware, InvocationScope? parent) + { + internal FunctionInvocationContext Context { get; } = context; + internal FunctionInvocationDelegatingAgent Middleware { get; } = middleware; + internal InvocationScope? Parent { get; } = parent; + } } } diff --git a/dotnet/src/Microsoft.Agents.AI/FunctionInvocationDelegatingAgentBuilderExtensions.cs b/dotnet/src/Microsoft.Agents.AI/FunctionInvocationDelegatingAgentBuilderExtensions.cs index 5ff23f600c7..de207fdabcb 100644 --- a/dotnet/src/Microsoft.Agents.AI/FunctionInvocationDelegatingAgentBuilderExtensions.cs +++ b/dotnet/src/Microsoft.Agents.AI/FunctionInvocationDelegatingAgentBuilderExtensions.cs @@ -30,6 +30,12 @@ public static class FunctionInvocationDelegatingAgentBuilderExtensions /// unless it intends to completely replace the function's behavior. /// /// + /// The callbacks also apply to functions added to or replaced in the current + /// collection during execution. Replacing the collection within a function or callback preserves the + /// callbacks for subsequent invocations, including when the function-calling client clones the options + /// between iterations. A per-request chat-client factory can replace the client without removing the callbacks. + /// + /// /// The inner agent or the pipeline wrapping it must include a . If one does not exist, /// the added to the pipline by this method will throw an exception when it is invoked. /// diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/FunctionInvocationDelegatingAgentTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/FunctionInvocationDelegatingAgentTests.cs index d39edde983d..a4cd5363066 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/FunctionInvocationDelegatingAgentTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/FunctionInvocationDelegatingAgentTests.cs @@ -3,6 +3,7 @@ using System; using System.Collections.Generic; using System.Linq; +using System.Text.Json; using System.Threading; using System.Threading.Tasks; using Microsoft.Extensions.AI; @@ -287,6 +288,1074 @@ public async Task RunAsync_WithMultipleFunctionCalls_InvokesMiddlewareForEachAsy #endregion + [Theory] + [InlineData(false, "Add")] + [InlineData(true, "Add")] + [InlineData(false, "Insert")] + [InlineData(true, "Insert")] + [InlineData(false, "Set")] + [InlineData(true, "Set")] + [InlineData(false, "Replace")] + [InlineData(true, "Replace")] + public async Task RunAsync_DynamicallyAddedFunction_InvokesMiddlewareAsync(bool streaming, string operation) + { + // Arrange + var invokedFunctions = new List(); + var functionExecuted = false; + var dynamicFunction = AIFunctionFactory.Create(() => + { + functionExecuted = true; + return "Function result"; + }, "DynamicFunction"); + var loader = AIFunctionFactory.Create(() => + { + var options = FunctionInvokingChatClient.CurrentContext!.Options!; + switch (operation) + { + case "Add": + options.Tools!.Add(dynamicFunction); + break; + case "Insert": + options.Tools!.Insert(0, dynamicFunction); + break; + case "Set": + options.Tools![0] = dynamicFunction; + break; + case "Replace": + options.Tools = [dynamicFunction]; + break; + default: + throw new ArgumentOutOfRangeException(nameof(operation)); + } + + return "Function added"; + }, "LoadFunction"); + + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("load", loader.Name)])), + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", dynamicFunction.Name)])), + new(new ChatMessage(ChatRole.Assistant, "Complete")), + ]); + var mockChatClient = CreateMockChatClient(responses); + var agent = new ChatClientAgent(mockChatClient.Object, tools: [loader]) + .AsBuilder() + .Use((agent, context, next, cancellationToken) => + { + invokedFunctions.Add(context.Function.Name); + return context.Function.Name == dynamicFunction.Name + ? new ValueTask("Function handled by middleware") + : next(context, cancellationToken); + }) + .Build(); + + // Act + var response = streaming + ? await agent.RunStreamingAsync("Run the functions").ToAgentResponseAsync() + : await agent.RunAsync("Run the functions"); + + // Assert + Assert.Equal([loader.Name, dynamicFunction.Name], invokedFunctions); + Assert.False(functionExecuted); + Assert.Equal("Function handled by middleware", response.Messages + .SelectMany(m => m.Contents) + .OfType() + .Single(r => r.CallId == "invoke").Result); + Assert.Empty(responses); + } + + [Theory] + [InlineData(false, "None", false)] + [InlineData(true, "None", false)] + [InlineData(false, "None", true)] + [InlineData(true, "None", true)] + [InlineData(false, "RequiredTool", false)] + [InlineData(true, "RequiredTool", false)] + [InlineData(false, "RequiredTool", true)] + [InlineData(true, "RequiredTool", true)] + [InlineData(false, "ConversationId", false)] + [InlineData(true, "ConversationId", false)] + [InlineData(false, "ConversationId", true)] + [InlineData(true, "ConversationId", true)] + public async Task RunAsync_InterIterationOptionsClone_PreservesDynamicFunctionMiddlewareAsync( + bool streaming, string cloneTrigger, bool replaceTools) + => await VerifyInterIterationOptionsCloneAsync(streaming, cloneTrigger, replaceTools); + + [Theory] + [InlineData(false, "RequiredTool")] + [InlineData(true, "RequiredTool")] + [InlineData(false, "ConversationId")] + [InlineData(true, "ConversationId")] + public async Task RunAsync_InterIterationOptionsClone_AllowedFunctionExecutesAsync(bool streaming, string cloneTrigger) + => await VerifyInterIterationOptionsCloneAsync(streaming, cloneTrigger, replaceTools: true, allowExecution: true); + + [Theory] + [InlineData(false, "RequiredTool")] + [InlineData(true, "RequiredTool")] + [InlineData(false, "ConversationId")] + [InlineData(true, "ConversationId")] + public async Task RunAsync_InterIterationOptionsClone_LoaderFailurePreservesMiddlewareAsync(bool streaming, string cloneTrigger) + => await VerifyInterIterationOptionsCloneAsync(streaming, cloneTrigger, replaceTools: true, loaderThrows: true); + + private static async Task VerifyInterIterationOptionsCloneAsync( + bool streaming, string cloneTrigger, bool replaceTools, bool allowExecution = false, bool loaderThrows = false) + { + // Arrange + var invocations = new List(); + var invocationCount = 0; + var loaderFailure = new InvalidOperationException("Loader failed after updating tools"); + ChatOptions? initialOptions = null; + var function = AIFunctionFactory.Create(() => + { + invocationCount++; + return "Function result"; + }, "DynamicFunction"); + var secondLoader = AIFunctionFactory.Create(() => + { + var options = FunctionInvokingChatClient.CurrentContext!.Options!; + if (cloneTrigger == "None") + { + Assert.Same(initialOptions, options); + } + else + { + Assert.NotSame(initialOptions, options); + } + + if (replaceTools) + { + options.Tools = [function]; + } + else + { + options.Tools!.Add(function); + } + + if (loaderThrows) + { + throw loaderFailure; + } + + return "Function added"; + }, "SecondLoader"); + var firstLoader = AIFunctionFactory.Create(() => + { + initialOptions = FunctionInvokingChatClient.CurrentContext!.Options!; + initialOptions.Tools!.Add(secondLoader); + return "Second loader added"; + }, "FirstLoader"); + var conversationId = cloneTrigger == "ConversationId" ? "conversation" : null; + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("first", firstLoader.Name)])) { ConversationId = conversationId }, + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("second", secondLoader.Name)])) { ConversationId = conversationId }, + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", function.Name)])) { ConversationId = conversationId }, + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke-again", function.Name)])) { ConversationId = conversationId }, + new(new ChatMessage(ChatRole.Assistant, "Complete")) { ConversationId = conversationId }, + ]); + using var client = new FunctionInvokingChatClient(CreateMockChatClient(responses).Object) + { + MaximumConsecutiveErrorsPerRequest = 1, + }; + var innerAgent = new ChatClientAgent(client, tools: [firstLoader]); + var first = innerAgent.AsBuilder().Use(async (agent, context, next, cancellationToken) => + { + invocations.Add($"First-Pre-{context.Function.Name}"); + var result = await next(context, cancellationToken); + invocations.Add($"First-Post-{context.Function.Name}"); + return result; + }).Build(); + var decorated = first.AsBuilder().Use(async (agent, context, next, cancellationToken) => + { + invocations.Add($"Second-Pre-{context.Function.Name}"); + var result = context.Function.Name == function.Name && !allowExecution + ? "Handled by middleware" + : await next(context, cancellationToken); + invocations.Add($"Second-Post-{context.Function.Name}"); + return result; + }).Build(); + var options = new ChatClientAgentRunOptions(new ChatOptions + { + ToolMode = cloneTrigger == "RequiredTool" ? ChatToolMode.RequireAny : null, + }); + + // Act + var response = streaming + ? await decorated.RunStreamingAsync("Run the functions", options: options).ToAgentResponseAsync() + : await decorated.RunAsync("Run the functions", options: options); + + // Assert + Assert.Equal(new[] { firstLoader.Name, secondLoader.Name, function.Name, function.Name }.SelectMany(name => + loaderThrows && name == secondLoader.Name + ? new[] { $"First-Pre-{name}", $"Second-Pre-{name}" } + : new[] { $"First-Pre-{name}", $"Second-Pre-{name}", $"Second-Post-{name}", $"First-Post-{name}" }), invocations); + Assert.Equal(allowExecution ? 2 : 0, invocationCount); + var results = response.Messages.SelectMany(m => m.Contents).OfType().ToArray(); + foreach (var callId in new[] { "invoke", "invoke-again" }) + { + var result = Assert.Single(results, result => result.CallId == callId).Result; + if (allowExecution) + { + Assert.Equal("Function result", Assert.IsType(result).GetString()); + } + else + { + Assert.Equal("Handled by middleware", result); + } + } + + Assert.Same(loaderThrows ? loaderFailure : null, Assert.Single(results, result => result.CallId == "second").Exception); + Assert.Empty(responses); + } + + [Theory] + [InlineData(false, false)] + [InlineData(true, false)] + [InlineData(false, true)] + [InlineData(true, true)] + public async Task RunAsync_InterIterationOptionsClone_PreservesApprovalAsync(bool streaming, bool approved) + { + // Arrange + var invocationCount = 0; + var middlewareInvocations = new List(); + ChatOptions? initialOptions = null; + var function = new ApprovalRequiredAIFunction(AIFunctionFactory.Create(() => + { + invocationCount++; + return "Function result"; + }, "DynamicFunction")); + var secondLoader = AIFunctionFactory.Create(() => + { + var options = FunctionInvokingChatClient.CurrentContext!.Options!; + Assert.NotSame(initialOptions, options); + options.Tools!.Add(function); + return "Function added"; + }, "SecondLoader"); + var firstLoader = AIFunctionFactory.Create(() => + { + initialOptions = FunctionInvokingChatClient.CurrentContext!.Options!; + initialOptions.Tools!.Add(secondLoader); + return "Second loader added"; + }, "FirstLoader"); + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("first", firstLoader.Name)])), + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("second", secondLoader.Name)])), + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", function.Name)])), + ]); + var agent = new ChatClientAgent(CreateMockChatClient(responses).Object, tools: [firstLoader]).AsBuilder() + .Use((agent, context, next, cancellationToken) => + { + middlewareInvocations.Add(context.Function.Name); + return next(context, cancellationToken); + }).Build(); + var session = await agent.CreateSessionAsync(); + var runOptions = new ChatClientAgentRunOptions(new ChatOptions { ToolMode = ChatToolMode.RequireAny }); + + // Act + var response = streaming + ? await agent.RunStreamingAsync("Run the functions", session, runOptions).ToAgentResponseAsync() + : await agent.RunAsync("Run the functions", session, runOptions); + + // Assert + var request = Assert.Single(response.Messages.SelectMany(m => m.Contents).OfType()); + Assert.Equal(0, invocationCount); + Assert.Equal([firstLoader.Name, secondLoader.Name], middlewareInvocations); + Assert.Empty(responses); + + // Act + responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, "Complete"))); + var approval = new ChatMessage(ChatRole.User, [request.CreateResponse(approved)]); + var resumedOptions = new ChatClientAgentRunOptions(new ChatOptions { Tools = [function] }); + var resumedResponse = streaming + ? await agent.RunStreamingAsync(approval, session, resumedOptions).ToAgentResponseAsync() + : await agent.RunAsync(approval, session, resumedOptions); + + // Assert + Assert.Equal(approved ? 1 : 0, invocationCount); + Assert.Equal(approved ? [firstLoader.Name, secondLoader.Name, function.Name] : new[] { firstLoader.Name, secondLoader.Name }, middlewareInvocations); + Assert.Single(resumedResponse.Messages.SelectMany(m => m.Contents) + .OfType(), result => result.CallId == "invoke"); + Assert.Empty(responses); + } + + [Theory] + [InlineData(false, false)] + [InlineData(true, false)] + [InlineData(false, true)] + [InlineData(true, true)] + public async Task RunAsync_DynamicFunction_PreservesInvocationOrderAsync(bool streaming, bool replaceTools) + => await RunDynamicFunctionPreservingInvocationOrderAsync(streaming, replaceTools, recreateOptions: false); + + [Theory] + [InlineData(false, false)] + [InlineData(true, false)] + [InlineData(false, true)] + [InlineData(true, true)] + public async Task RunAsync_RecreatedOptions_PreservesFunctionMiddlewareAsync(bool streaming, bool replaceTools) + => await RunDynamicFunctionPreservingInvocationOrderAsync(streaming, replaceTools, recreateOptions: true); + + [Theory] + [InlineData(false, false)] + [InlineData(true, false)] + [InlineData(false, true)] + [InlineData(true, true)] + public async Task RunAsync_OpaqueChatClient_PreservesFunctionMiddlewareAsync(bool streaming, bool replaceTools) + => await RunDynamicFunctionPreservingInvocationOrderAsync(streaming, replaceTools, recreateOptions: true, hideServices: true); + + private static async Task RunDynamicFunctionPreservingInvocationOrderAsync(bool streaming, bool replaceTools, bool recreateOptions, bool hideServices = false) + { + // Arrange + var executionOrder = new List(); + var function = AIFunctionFactory.Create(() => + { + executionOrder.Add("Function"); + return "Function result"; + }, "TestFunction"); + var loader = AIFunctionFactory.Create(() => + { + var options = FunctionInvokingChatClient.CurrentContext!.Options!; + if (replaceTools) + { + options.Tools = [function]; + } + else + { + options.Tools!.Add(function); + options.Tools[options.Tools.Count - 1] = options.Tools[options.Tools.Count - 1]; + } + + return "Function added"; + }, "LoadFunction"); + + var responses = new Queue(); + var mockChatClient = CreateMockChatClient(responses); + using var functionClient = new TrackingFunctionInvokingChatClient(mockChatClient.Object, executionOrder, function.Name); + async ValueTask InvokeAsync(FunctionInvocationContext context, CancellationToken cancellationToken) + { + if (context.Function.Name == function.Name) + { + executionOrder.Add("Invoker-Pre"); + } + + var result = await context.Function.InvokeAsync(context.Arguments, cancellationToken); + if (context.Function.Name == function.Name) + { + executionOrder.Add("Invoker-Post"); + } + + return result; + } + + functionClient.FunctionInvoker = InvokeAsync; + var innerAgent = new ChatClientAgent(functionClient, new ChatClientAgentOptions { UseProvidedChatClientAsIs = true }); + var first = innerAgent.AsBuilder().Use(async (agent, context, next, cancellationToken) => + { + Assert.Same(innerAgent, agent); + if (recreateOptions) + { + Assert.Equal(0.5f, context.Options?.Temperature); + } + + if (context.Function.Name == function.Name) + { + executionOrder.Add("First-Pre"); + } + + var result = await next(context, cancellationToken); + if (context.Function.Name == function.Name) + { + executionOrder.Add("First-Post"); + } + + return result; + }).Build(); + var nextAgent = recreateOptions + ? new AnonymousDelegatingAIAgent( + first, + (messages, session, options, agent, cancellationToken) => + agent.RunAsync(messages, session, RecreateOptions(options), cancellationToken), + (messages, session, options, agent, cancellationToken) => + agent.RunStreamingAsync(messages, session, RecreateOptions(options), cancellationToken)) + : first; + var decorated = nextAgent.AsBuilder().Use(async (agent, context, next, cancellationToken) => + { + Assert.Same(nextAgent, agent); + if (context.Function.Name == function.Name) + { + executionOrder.Add("Second-Pre"); + } + + var result = await next(context, cancellationToken); + if (context.Function.Name == function.Name) + { + executionOrder.Add("Second-Post"); + } + + return result; + }).Build(); + + var options = new ChatClientAgentRunOptions(new ChatOptions { Tools = [function] }); + var expectedOrder = new[] + { + "Override-Pre", "Invoker-Pre", "First-Pre", "Second-Pre", + "Function", "Second-Post", "First-Post", "Invoker-Post", "Override-Post", + }; + + // Act + for (int run = 0; run < 3; run++) + { + executionOrder.Clear(); + if (run > 0) + { + options.ChatOptions!.Tools = [loader]; + responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("load", loader.Name)]))); + } + + responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", function.Name)]))); + responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, "Complete"))); + var response = streaming + ? await decorated.RunStreamingAsync("Run the functions", options: options).ToAgentResponseAsync() + : await decorated.RunAsync("Run the functions", options: options); + + // Assert + Assert.Equal(expectedOrder, executionOrder); + Assert.Equal("Function result", Assert.IsType(response.Messages.SelectMany(m => m.Contents) + .OfType().Single(r => r.CallId == "invoke").Result).GetString()); + Assert.Empty(responses); + Assert.Equal(InvokeAsync, functionClient.FunctionInvoker); + } + + ChatClientAgentRunOptions RecreateOptions(AgentRunOptions? options) + { + var original = Assert.IsType(options); + var factory = Assert.IsType>(original.ChatClientFactory); + return new ChatClientAgentRunOptions(original.ChatOptions?.Clone()) + { + ChatClientFactory = client => + { + var pipeline = factory(new ConfigureOptionsChatClient(client, options => options.Temperature = 0.5f)); + return hideServices ? new OpaqueChatClient(pipeline) : pipeline; + }, + }; + } + } + + [Theory] + [InlineData(false, false)] + [InlineData(true, false)] + [InlineData(false, true)] + [InlineData(true, true)] + public async Task RunAsync_DynamicFunction_PreservesApprovalAsync(bool streaming, bool approved) + { + // Arrange + var invocationCount = 0; + var observedFunctions = new List(); + var function = AIFunctionFactory.Create(() => + { + invocationCount++; + return "Function result"; + }, "TestFunction", "Function requiring approval"); + var approvalFunction = new ApprovalRequiredAIFunction(function); + var loader = AIFunctionFactory.Create(() => + { + var tools = FunctionInvokingChatClient.CurrentContext!.Options!.Tools!; + tools.Add(approvalFunction); + Assert.Equal(function.Name, tools[tools.Count - 1].Name); + Assert.Same(approvalFunction, tools[tools.Count - 1].GetService()); + Assert.Equal(function.JsonSchema.GetRawText(), Assert.IsAssignableFrom(tools[tools.Count - 1]).JsonSchema.GetRawText()); + return "Function added"; + }, "LoadFunction"); + + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("load", loader.Name)])), + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", function.Name)])), + ]); + var mockChatClient = CreateMockChatClient(responses); + var agent = new ChatClientAgent(mockChatClient.Object, tools: [loader]).AsBuilder() + .Use((agent, context, next, cancellationToken) => + { + observedFunctions.Add(context.Function.Name); + return next(context, cancellationToken); + }).Build(); + var session = await agent.CreateSessionAsync(); + + // Act + var response = streaming + ? await agent.RunStreamingAsync("Run the functions", session).ToAgentResponseAsync() + : await agent.RunAsync("Run the functions", session); + + // Assert + var request = Assert.Single(response.Messages.SelectMany(m => m.Contents).OfType()); + Assert.Equal(0, invocationCount); + Assert.Equal([loader.Name], observedFunctions); + Assert.Empty(responses); + + // Act + responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, "Complete"))); + var options = new ChatClientAgentRunOptions(new ChatOptions { Tools = [approvalFunction] }); + var approvalMessage = new ChatMessage(ChatRole.User, [request.CreateResponse(approved)]); + var resumedResponse = streaming + ? await agent.RunStreamingAsync(approvalMessage, session, options).ToAgentResponseAsync() + : await agent.RunAsync(approvalMessage, session, options); + + // Assert + Assert.Equal(approved ? 1 : 0, invocationCount); + Assert.Equal(approved ? [loader.Name, function.Name] : new[] { loader.Name }, observedFunctions); + Assert.Single(resumedResponse.Messages.SelectMany(m => m.Contents) + .OfType(), result => result.CallId == "invoke"); + Assert.Empty(responses); + } + + [Theory] + [InlineData(false)] + [InlineData(true)] + public async Task RunAsync_SharedClientAndOptions_IsolatesFunctionMiddlewareAsync(bool streaming) + { + // Arrange + var loadersEntered = 0; + var gate = new TaskCompletionSource(TaskCreationOptions.RunContinuationsAsynchronously); + using var cancellation = new CancellationTokenSource(TimeSpan.FromSeconds(30)); + using var registration = cancellation.Token.Register(() => gate.TrySetCanceled()); + var function = AIFunctionFactory.Create(() => "Function result", "TestFunction"); + var loader = AIFunctionFactory.Create(async () => + { + if (Interlocked.Increment(ref loadersEntered) == 2) + { + gate.TrySetResult(true); + } + + await gate.Task; + FunctionInvokingChatClient.CurrentContext!.Options!.Tools!.Add(function); + return "Function added"; + }, "LoadFunction"); + var mockChatClient = new Mock(); + ChatResponse GetResponse(IEnumerable messages) + { + var results = messages.SelectMany(m => m.Contents).OfType().ToArray(); + if (!results.Any(r => r.CallId == "load")) + { + return new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("load", loader.Name)])); + } + + return results.Any(r => r.CallId == "invoke") + ? new(new ChatMessage(ChatRole.Assistant, "Complete")) + : new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", function.Name)])); + } + + mockChatClient.Setup(c => c.GetResponseAsync( + It.IsAny>(), It.IsAny(), It.IsAny())) + .Returns((IEnumerable messages, ChatOptions? options, CancellationToken ct) => Task.FromResult(GetResponse(messages))); + mockChatClient.Setup(c => c.GetStreamingResponseAsync( + It.IsAny>(), It.IsAny(), It.IsAny())) + .Returns((IEnumerable messages, ChatOptions? options, CancellationToken ct) => GetResponse(messages).ToChatResponseUpdates().ToAsyncEnumerable()); + + using var client = new FunctionInvokingChatClient(mockChatClient.Object); + var innerAgent = new ChatClientAgent(client, new ChatClientAgentOptions { UseProvidedChatClientAsIs = true }); + var firstInvocations = new List(); + var secondInvocations = new List(); + var first = innerAgent.AsBuilder().Use((agent, context, next, cancellationToken) => + { + firstInvocations.Add(context.Function.Name); + return context.Function.Name == function.Name ? new ValueTask("First") : next(context, cancellationToken); + }).Build(); + var second = innerAgent.AsBuilder().Use((agent, context, next, cancellationToken) => + { + secondInvocations.Add(context.Function.Name); + return context.Function.Name == function.Name ? new ValueTask("Second") : next(context, cancellationToken); + }).Build(); + Func factory = static client => client; + var options = new ChatClientAgentRunOptions(new ChatOptions { Tools = [loader] }) { ChatClientFactory = factory }; + + // Act + Task RunAsync(AIAgent agent, AgentRunOptions? runOptions = null) => streaming + ? agent.RunStreamingAsync("Run the functions", options: runOptions ?? options, cancellationToken: cancellation.Token).ToAgentResponseAsync(cancellation.Token) + : agent.RunAsync("Run the functions", options: runOptions ?? options, cancellationToken: cancellation.Token); + var responses = await Task.WhenAll(RunAsync(first), RunAsync(second)); + + // Assert + Assert.Equal([loader.Name, function.Name], firstInvocations); + Assert.Equal([loader.Name, function.Name], secondInvocations); + Assert.Equal("First", responses[0].Messages.SelectMany(m => m.Contents) + .OfType().Single(r => r.CallId == "invoke").Result); + Assert.Equal("Second", responses[1].Messages.SelectMany(m => m.Contents) + .OfType().Single(r => r.CallId == "invoke").Result); + Assert.Same(factory, options.ChatClientFactory); + Assert.Same(loader, Assert.Single(options.ChatOptions!.Tools!)); + Assert.Null(client.FunctionInvoker); + + // Act & Assert + foreach (var response in new[] { await RunAsync(innerAgent), await RunAsync(innerAgent, options.Clone()) }) + { + Assert.Equal("Function result", Assert.IsType(response.Messages.SelectMany(m => m.Contents) + .OfType().Single(r => r.CallId == "invoke").Result).GetString()); + } + + Assert.Equal([loader.Name, function.Name], firstInvocations); + Assert.Equal([loader.Name, function.Name], secondInvocations); + Assert.Same(factory, options.ChatClientFactory); + Assert.Same(loader, Assert.Single(options.ChatOptions!.Tools!)); + } + + [Theory] + [InlineData(false, false)] + [InlineData(false, true)] + [InlineData(true, false)] + [InlineData(true, true)] + public async Task RunAsync_NestedAgent_IsolatesFunctionMiddlewareAsync(bool streaming, bool nestedStreaming) + { + // Arrange + var innerInvocations = new List(); + var outerInvocations = new List(); + var innerFunction = AIFunctionFactory.Create(() => "Inner result", "InnerFunction"); + var innerResponses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("inner", innerFunction.Name)])), + new(new ChatMessage(ChatRole.Assistant, "Inner complete")), + ]); + var innerAgent = new ChatClientAgent(CreateMockChatClient(innerResponses).Object, tools: [innerFunction]).AsBuilder() + .Use((agent, context, next, cancellationToken) => + { + innerInvocations.Add(context.Function.Name); + return next(context, cancellationToken); + }).Build(); + + var outerFunction = AIFunctionFactory.Create(async () => + { + await Task.Yield(); + var response = nestedStreaming + ? await innerAgent.RunStreamingAsync("Run the inner function").ToAgentResponseAsync() + : await innerAgent.RunAsync("Run the inner function"); + return response.Text; + }, "OuterFunction"); + var outerResponses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("outer", outerFunction.Name)])), + new(new ChatMessage(ChatRole.Assistant, "Outer complete")), + ]); + var outerAgent = new ChatClientAgent(CreateMockChatClient(outerResponses).Object, tools: [outerFunction]).AsBuilder() + .Use((agent, context, next, cancellationToken) => + { + outerInvocations.Add(context.Function.Name); + return next(context, cancellationToken); + }).Build(); + + // Act + var response = streaming + ? await outerAgent.RunStreamingAsync("Run the outer function").ToAgentResponseAsync() + : await outerAgent.RunAsync("Run the outer function"); + + // Assert + Assert.Equal([innerFunction.Name], innerInvocations); + Assert.Equal([outerFunction.Name], outerInvocations); + Assert.Equal("Inner complete", Assert.IsType(response.Messages.SelectMany(m => m.Contents) + .OfType().Single(r => r.CallId == "outer").Result).GetString()); + Assert.Empty(innerResponses); + Assert.Empty(outerResponses); + } + + [Theory] + [InlineData(false)] + [InlineData(true)] + public async Task RunAsync_ReplacingChatClientFactory_PreservesMiddlewareAsync(bool streaming) + { + // Arrange + var invocations = new List(); + var functionExecuted = false; + var function = AIFunctionFactory.Create(() => + { + functionExecuted = true; + return "Function result"; + }, "DynamicFunction"); + var loader = AIFunctionFactory.Create(() => + { + FunctionInvokingChatClient.CurrentContext!.Options!.Tools!.Add(function); + return "Function added"; + }, "LoadFunction"); + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("load", loader.Name)])), + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", function.Name)])), + new(new ChatMessage(ChatRole.Assistant, "Complete")), + ]); + using var replacement = new FunctionInvokingChatClient(CreateMockChatClient(responses).Object); + var originalClient = new Mock(); + var first = new ChatClientAgent(originalClient.Object, tools: [loader]).AsBuilder() + .Use((agent, context, next, cancellationToken) => + { + invocations.Add($"First-{context.Function.Name}"); + return next(context, cancellationToken); + }).Build(); + var agent = first.AsBuilder().Use((agent, context, next, cancellationToken) => + { + invocations.Add($"Second-{context.Function.Name}"); + return context.Function.Name == function.Name + ? new ValueTask("Handled by middleware") + : next(context, cancellationToken); + }).Build(); + var options = new ChatClientAgentRunOptions { ChatClientFactory = _ => replacement }; + + // Act + var response = streaming + ? await agent.RunStreamingAsync("Run", options: options).ToAgentResponseAsync() + : await agent.RunAsync("Run", options: options); + + // Assert + Assert.Equal(["First-LoadFunction", "Second-LoadFunction", "First-DynamicFunction", "Second-DynamicFunction"], invocations); + Assert.False(functionExecuted); + Assert.Equal("Handled by middleware", response.Messages.SelectMany(m => m.Contents) + .OfType().Single(r => r.CallId == "invoke").Result); + Assert.Empty(responses); + originalClient.Verify(c => c.GetResponseAsync( + It.IsAny>(), It.IsAny(), It.IsAny()), Times.Never); + originalClient.Verify(c => c.GetStreamingResponseAsync( + It.IsAny>(), It.IsAny(), It.IsAny()), Times.Never); + } + + [Theory] + [InlineData(false, false)] + [InlineData(false, true)] + [InlineData(true, false)] + [InlineData(true, true)] + public async Task RunAsync_IndependentCapturedClient_DoesNotInheritMiddlewareAsync(bool streaming, bool nestedStreaming) + { + // Arrange + var innerInvocations = new List(); + var captured = await CaptureClientAsync(innerInvocations); + using var innerClient = captured.Client; + var innerFunction = AIFunctionFactory.Create(() => "Inner result", "InnerFunction"); + captured.Responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("inner", innerFunction.Name)]))); + captured.Responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, "Complete"))); + var outerFunction = AIFunctionFactory.Create(async () => + { + var options = new ChatOptions { Tools = [innerFunction] }; + if (nestedStreaming) + { + await foreach (var _ in innerClient.GetStreamingResponseAsync([new(ChatRole.User, "Inner")], options)) + { + } + } + else + { + await innerClient.GetResponseAsync([new(ChatRole.User, "Inner")], options); + } + + return "Outer result"; + }, "OuterFunction"); + var outerInvocations = new List(); + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("outer", outerFunction.Name)])), + new(new ChatMessage(ChatRole.Assistant, "Complete")), + ]); + var agent = new ChatClientAgent(CreateMockChatClient(responses).Object, tools: [outerFunction]).AsBuilder() + .Use((agent, context, next, cancellationToken) => + { + outerInvocations.Add(context.Function.Name); + return next(context, cancellationToken); + }).Build(); + + // Act + if (streaming) + { + await agent.RunStreamingAsync("Run").ToAgentResponseAsync(); + } + else + { + await agent.RunAsync("Run"); + } + + // Assert + Assert.Equal([outerFunction.Name], outerInvocations); + Assert.Equal([innerFunction.Name], innerInvocations); + Assert.Empty(responses); + Assert.Empty(captured.Responses); + } + + [Theory] + [InlineData(false, false)] + [InlineData(true, false)] + [InlineData(false, true)] + [InlineData(true, true)] + public async Task RunAsync_OpaqueFunctionDecorator_DoesNotDuplicateMiddlewareAsync(bool streaming, bool invokeTwice) + { + // Arrange + var invocations = new List(); + var invocationCount = 0; + var replaced = false; + var function = AIFunctionFactory.Create(() => ++invocationCount, "TestFunction"); + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("first", function.Name)])), + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("second", function.Name)])), + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("third", function.Name)])), + new(new ChatMessage(ChatRole.Assistant, "Complete")), + ]); + var first = new ChatClientAgent(CreateMockChatClient(responses).Object, tools: [function]).AsBuilder() + .Use(async (agent, context, next, cancellationToken) => + { + invocations.Add("First"); + if (!replaced) + { + replaced = true; + context.Options!.Tools = [new OpaqueFunction(context.Function)]; + } + + var result = await next(context, cancellationToken); + return invokeTwice ? await next(context, cancellationToken) : result; + }).Build(); + var agent = first.AsBuilder().Use((agent, context, next, cancellationToken) => + { + invocations.Add("Second"); + return next(context, cancellationToken); + }).Build(); + + // Act + if (streaming) + { + await agent.RunStreamingAsync("Run").ToAgentResponseAsync(); + } + else + { + await agent.RunAsync("Run"); + } + + // Assert + string[] expectedPerInvocation = invokeTwice ? ["First", "Second", "Second"] : ["First", "Second"]; + Assert.Equal(Enumerable.Range(0, 3).SelectMany(_ => expectedPerInvocation), invocations); + Assert.Equal(invokeTwice ? 6 : 3, invocationCount); + Assert.Empty(responses); + } + + [Theory] + [InlineData(false)] + [InlineData(true)] + public async Task ChatClient_FailedFactory_DoesNotLeakMiddlewareAsync(bool returnsNull) + { + // Arrange + var invocations = new List(); + var function = AIFunctionFactory.Create(() => "Function result", "TestFunction"); + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", function.Name)])), + new(new ChatMessage(ChatRole.Assistant, "Complete")), + ]); + using var client = new FunctionInvokingChatClient(CreateMockChatClient(responses).Object); + var expectedFailure = new InvalidOperationException("Factory failed"); + var failingFactory = await CaptureFactoryAsync("Failed", _ => returnsNull ? null! : throw expectedFailure); + var successfulFactory = await CaptureFactoryAsync("Successful", null); + + // Act + if (returnsNull) + { + Assert.Throws(() => failingFactory(client)); + } + else + { + Assert.Same(expectedFailure, Assert.Throws(() => failingFactory(client))); + } + + using var pipeline = successfulFactory(client); + await pipeline.GetResponseAsync([new(ChatRole.User, "Run")], new ChatOptions { Tools = [function] }); + + // Assert + Assert.Equal(["Successful"], invocations); + Assert.Empty(responses); + + async Task> CaptureFactoryAsync(string name, Func? factory) + { + Func? capturedFactory = null; + var capturingAgent = new AnonymousDelegatingAIAgent( + new ChatClientAgent(client), + (messages, session, options, agent, cancellationToken) => + { + capturedFactory = Assert.IsType(options).ChatClientFactory; + return Task.FromResult(new AgentResponse(new ChatMessage(ChatRole.Assistant, "Captured"))); + }, + runStreamingFunc: null); + var agent = capturingAgent.AsBuilder().Use((agent, context, next, cancellationToken) => + { + invocations.Add(name); + return next(context, cancellationToken); + }).Build(); + await agent.RunAsync("Capture", options: new ChatClientAgentRunOptions { ChatClientFactory = factory }); + return Assert.IsType>(capturedFactory); + } + } + + [Theory] + [InlineData(false, "Completed")] + [InlineData(false, "Faulted")] + [InlineData(false, "Canceled")] + [InlineData(true, "Completed")] + [InlineData(true, "Faulted")] + [InlineData(true, "Canceled")] + [InlineData(true, "Disposed")] + public async Task ChatClient_RequestScope_RestoresCallerContextAsync(bool streaming, string outcome) + { + // Arrange + var firstInvocations = new List(); + var secondInvocations = new List(); + var first = await CaptureClientAsync(firstInvocations); + var second = await CaptureClientAsync(secondInvocations); + using var firstClient = first.Client; + using var secondClient = second.Client; + var firstFunction = AIFunctionFactory.Create(() => "First result", "FirstFunction"); + var secondFunction = AIFunctionFactory.Create(() => "Second result", "SecondFunction"); + var firstOptions = new ChatOptions { Tools = [firstFunction] }; + using var cancellation = new CancellationTokenSource(); + cancellation.Cancel(); + var token = outcome == "Canceled" ? cancellation.Token : CancellationToken.None; + Exception? expectedFailure = outcome switch + { + "Faulted" => new InvalidOperationException("Request failed"), + "Canceled" => new OperationCanceledException(token), + _ => null, + }; + if (expectedFailure is not null) + { + first.Mock.Setup(c => c.GetResponseAsync( + It.IsAny>(), It.IsAny(), It.IsAny())) + .ThrowsAsync(expectedFailure); + first.Mock.Setup(c => c.GetStreamingResponseAsync( + It.IsAny>(), It.IsAny(), It.IsAny())) + .Returns(FailingResponseAsync(expectedFailure)); + } + else + { + if (outcome == "Completed") + { + first.Responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("first", firstFunction.Name)]))); + } + + first.Responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, "Complete"))); + } + + var callerContext = AIAgent.CurrentRunContext; + var secondRequestCount = 0; + + // Act + if (outcome == "Disposed") + { + await using var iterator = firstClient.GetStreamingResponseAsync([new(ChatRole.User, "First")], firstOptions).GetAsyncEnumerator(); + Assert.True(await iterator.MoveNextAsync()); + await VerifySecondClientAsync(); + } + else + { + var observedFailure = false; + try + { + if (streaming) + { + await foreach (var _ in firstClient.GetStreamingResponseAsync([new(ChatRole.User, "First")], firstOptions, token)) + { + } + } + else + { + await firstClient.GetResponseAsync([new(ChatRole.User, "First")], firstOptions, token); + } + } + catch (InvalidOperationException exception) when (ReferenceEquals(exception, expectedFailure)) + { + observedFailure = true; + } + catch (OperationCanceledException) when (outcome == "Canceled") + { + observedFailure = true; + } + + Assert.Equal(expectedFailure is not null, observedFailure); + } + + // Assert + await VerifySecondClientAsync(); + Assert.Equal(outcome == "Completed" ? new[] { firstFunction.Name } : [], firstInvocations); + + async Task VerifySecondClientAsync() + { + // Invoke clients directly under the same run context so a new agent run cannot mask a leaked scope. + Assert.Same(callerContext, AIAgent.CurrentRunContext); + second.Responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("second", secondFunction.Name)]))); + second.Responses.Enqueue(new(new ChatMessage(ChatRole.Assistant, "Complete"))); + var response = await secondClient.GetResponseAsync( + [new(ChatRole.User, "Second")], new ChatOptions { Tools = [secondFunction] }); + + Assert.Equal("Second result", Assert.IsType(Assert.Single(response.Messages + .SelectMany(m => m.Contents).OfType()).Result).GetString()); + Assert.DoesNotContain(secondFunction.Name, firstInvocations); + Assert.Equal(++secondRequestCount, secondInvocations.Count); + Assert.All(secondInvocations, name => Assert.Equal(secondFunction.Name, name)); + Assert.Same(callerContext, AIAgent.CurrentRunContext); + } + + static async IAsyncEnumerable FailingResponseAsync(Exception exception) + { + await Task.Yield(); + await Task.FromException(exception); + yield break; + } + } + + [Theory] + [InlineData(false)] + [InlineData(true)] + public async Task RunAsync_ToolReplacementBeforeFailure_PreservesFunctionMiddlewareAsync(bool streaming) + { + // Arrange + var invocations = new List(); + var functionExecuted = false; + var function = AIFunctionFactory.Create(() => + { + functionExecuted = true; + return "Function result"; + }, "DynamicFunction"); + var expectedFailure = new InvalidOperationException("Loader failed after updating tools"); + string LoadFunction() + { + FunctionInvokingChatClient.CurrentContext!.Options!.Tools = [function]; + throw expectedFailure; + } + + var loader = AIFunctionFactory.Create(LoadFunction); + var responses = new Queue( + [ + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("load", loader.Name)])), + new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("invoke", function.Name)])), + new(new ChatMessage(ChatRole.Assistant, "Complete")), + ]); + using var client = new FunctionInvokingChatClient(CreateMockChatClient(responses).Object) + { + MaximumConsecutiveErrorsPerRequest = 1, + }; + var agent = new ChatClientAgent(client, new ChatClientAgentOptions + { + UseProvidedChatClientAsIs = true, + ChatOptions = new() { Tools = [loader] }, + }).AsBuilder().Use((agent, context, next, cancellationToken) => + { + invocations.Add(context.Function.Name); + return context.Function.Name == function.Name + ? new ValueTask("Handled by middleware") + : next(context, cancellationToken); + }).Build(); + + // Act + var response = streaming + ? await agent.RunStreamingAsync("Run the functions").ToAgentResponseAsync() + : await agent.RunAsync("Run the functions"); + + // Assert + Assert.Equal([loader.Name, function.Name], invocations); + Assert.False(functionExecuted); + var results = response.Messages.SelectMany(m => m.Contents).OfType().ToArray(); + Assert.Same(expectedFailure, Assert.Single(results, result => result.CallId == "load").Exception); + Assert.Equal("Handled by middleware", Assert.Single(results, result => result.CallId == "invoke").Result); + Assert.Empty(responses); + } + #region Context Validation Tests /// @@ -994,6 +2063,75 @@ public async Task RunAsync_WithBaseAgentRunOptions_PreservesAllOriginalOptionsAs #endregion + private static async Task<(IChatClient Client, Mock Mock, Queue Responses)> CaptureClientAsync(List invocations) + { + var responses = new Queue([new(new ChatMessage(ChatRole.Assistant, "Initialized"))]); + var mock = CreateMockChatClient(responses); + IChatClient? capturedClient = null; + var capturingAgent = new AnonymousDelegatingAIAgent( + new ChatClientAgent(mock.Object), + (messages, session, options, innerAgent, cancellationToken) => + { + var runOptions = Assert.IsType(options?.Clone()); + var factory = Assert.IsType>(runOptions.ChatClientFactory); + runOptions.ChatClientFactory = client => capturedClient = factory(client); + return innerAgent.RunAsync(messages, session, runOptions, cancellationToken); + }, + runStreamingFunc: null); + var agent = capturingAgent.AsBuilder() + .Use((agent, context, next, cancellationToken) => + { + invocations.Add(context.Function.Name); + return next(context, cancellationToken); + }).Build(); + await agent.RunAsync("Initialize"); + return (Assert.IsAssignableFrom(capturedClient), mock, responses); + } + + private sealed class OpaqueFunction(AIFunction innerFunction) : DelegatingAIFunction(innerFunction) + { + public override object? GetService(Type serviceType, object? serviceKey = null) + => serviceKey is null && serviceType.IsInstanceOfType(this) ? this : null; + } + + private static Mock CreateMockChatClient(Queue responses) + { + var mockChatClient = new Mock(); + mockChatClient.Setup(c => c.GetResponseAsync( + It.IsAny>(), It.IsAny(), It.IsAny())) + .ReturnsAsync(() => responses.Dequeue()); + mockChatClient.Setup(c => c.GetStreamingResponseAsync( + It.IsAny>(), It.IsAny(), It.IsAny())) + .Returns(() => responses.Dequeue().ToChatResponseUpdates().ToAsyncEnumerable()); + return mockChatClient; + } + + private sealed class OpaqueChatClient(IChatClient innerClient) : DelegatingChatClient(innerClient) + { + public override object? GetService(Type serviceType, object? serviceKey = null) + => serviceKey is null && serviceType.IsInstanceOfType(this) ? this : null; + } + + private sealed class TrackingFunctionInvokingChatClient(IChatClient innerClient, List executionOrder, string functionName) + : FunctionInvokingChatClient(innerClient) + { + protected override async ValueTask InvokeFunctionAsync(FunctionInvocationContext context, CancellationToken cancellationToken) + { + if (context.Function.Name == functionName) + { + executionOrder.Add("Override-Pre"); + } + + var result = await base.InvokeFunctionAsync(context, cancellationToken); + if (context.Function.Name == functionName) + { + executionOrder.Add("Override-Post"); + } + + return result; + } + } + /// /// Creates a mock IChatClient with predefined responses for testing. /// diff --git a/python/packages/core/tests/core/test_function_invocation_logic.py b/python/packages/core/tests/core/test_function_invocation_logic.py index f97e80ea0f8..b87af2d86dc 100644 --- a/python/packages/core/tests/core/test_function_invocation_logic.py +++ b/python/packages/core/tests/core/test_function_invocation_logic.py @@ -16,10 +16,14 @@ from agent_framework import ( Agent, AgentSession, + ChatContext, ChatOptions, ChatResponse, ChatResponseUpdate, Content, + FunctionInvocationContext, + FunctionMiddleware, + FunctionTool, Message, ResponseInvalidatedException, ResponseStream, @@ -38,8 +42,6 @@ included_token_count, ) from agent_framework._middleware import ( - FunctionInvocationContext, - FunctionMiddleware, FunctionMiddlewarePipeline, MiddlewareFailure, MiddlewareTermination, @@ -9269,6 +9271,21 @@ def _pte_text_response(text: str = "done") -> ChatResponse: return ChatResponse(messages=Message(role="assistant", contents=[text])) +def _pte_set_responses(client: SupportsChatGetResponse, responses: list[ChatResponse], *, streaming: bool) -> None: + if streaming: + client.streaming_responses = [ # type: ignore[attr-defined] # ty: ignore[unresolved-attribute] + [ + ChatResponseUpdate( + role="assistant", contents=message.contents, conversation_id=response.conversation_id + ) + for message in response.messages + ] + for response in responses + ] + else: + client.run_responses = responses # type: ignore[attr-defined] # ty: ignore[unresolved-attribute] + + @tool(name="factorial", approval_mode="never_require") def _pte_factorial(n: int) -> int: """Compute the factorial of n.""" @@ -9494,6 +9511,381 @@ def load_math(ctx: FunctionInvocationContext) -> str: assert exec_counter == 1 +@pytest.mark.parametrize("streaming", [False, True], ids=["non-streaming", "streaming"]) +@pytest.mark.parametrize("allowed", [False, True], ids=["blocked", "allowed"]) +@pytest.mark.parametrize("max_iterations", [3], indirect=True) +async def test_add_tools_respects_function_middleware( + chat_client_base: SupportsChatGetResponse, + streaming: bool, + allowed: bool, +) -> None: + """Late-added tools remain subject to the agent's function middleware.""" + observed_tools: list[str] = [] + target_calls: list[str] = [] + + class PolicyMiddleware(FunctionMiddleware): + async def process(self, context: FunctionInvocationContext, call_next: Callable[[], Awaitable[None]]) -> None: + observed_tools.append(context.function.name) + if context.function.name == "late_tool" and not allowed: + context.result = "blocked by policy" + return + await call_next() + + @tool(name="late_tool", approval_mode="never_require") + def late_tool() -> str: + target_calls.append("invoked") + return "target completed" + + @tool(name="load_tool", approval_mode="never_require") + def load_tool(context: FunctionInvocationContext) -> str: + context.add_tools(late_tool) + return "target loaded" + + responses = [ + _pte_function_call_response("1", "load_tool"), + _pte_function_call_response("2", "late_tool"), + _pte_text_response(), + ] + if streaming: + chat_client_base.streaming_responses = [ # type: ignore[attr-defined] # ty: ignore[unresolved-attribute] + [ChatResponseUpdate(role="assistant", contents=message.contents) for message in response.messages] + for response in responses + ] + else: + chat_client_base.run_responses = responses # type: ignore[attr-defined] # ty: ignore[unresolved-attribute] + + agent = Agent(client=chat_client_base, tools=[load_tool], middleware=[PolicyMiddleware()]) + expected_results = [("1", "target loaded"), ("2", "target completed" if allowed else "blocked by policy")] + if streaming: + response = await agent.run("Load and call the tool.", stream=True).get_final_response() + else: + response = await agent.run("Load and call the tool.") + + assert observed_tools == ["load_tool", "late_tool"] + assert target_calls == (["invoked"] if allowed else []) + assert [ + (content.call_id, content.result) + for message in response.messages + for content in message.contents + if content.type == "function_result" + ] == expected_results + assert response.messages[-1].text == "done" + + +@pytest.mark.parametrize("streaming", [False, True], ids=["non-streaming", "streaming"]) +@pytest.mark.parametrize("transition", ["none", "required", "conversation"]) +@pytest.mark.parametrize("replace_tools", [False, True], ids=["append", "replace"]) +@pytest.mark.parametrize("outcome", ["blocked", "allowed", "loader-failed"]) +@pytest.mark.parametrize("max_iterations", [5], indirect=True) +async def test_second_generation_tools_preserve_middleware_across_iterations( + chat_client_base: SupportsChatGetResponse, + streaming: bool, + transition: str, + replace_tools: bool, + outcome: str, +) -> None: + """Tool-list updates and continuation changes preserve agent and run-level callbacks.""" + invocations: list[str] = [] + target_calls: list[str] = [] + model_options: list[tuple[Any, Any, list[str]]] = [] + streamed_results: list[tuple[str | None, Any]] | None = None + loader_failure = RuntimeError("loader failed after updating tools") + + class AgentLevelFunctionMiddleware(FunctionMiddleware): + async def process(self, context: FunctionInvocationContext, call_next: Callable[[], Awaitable[None]]) -> None: + invocations.append(f"agent-before-{context.function.name}") + await call_next() + invocations.append(f"agent-after-{context.function.name}") + + class RunLevelFunctionMiddleware(FunctionMiddleware): + async def process(self, context: FunctionInvocationContext, call_next: Callable[[], Awaitable[None]]) -> None: + invocations.append(f"run-before-{context.function.name}") + if context.function.name == "late_tool" and outcome != "allowed": + context.result = "blocked by policy" + else: + await call_next() + invocations.append(f"run-after-{context.function.name}") + + @chat_middleware + async def observe_options(context: ChatContext, call_next: Callable[[], Awaitable[None]]) -> None: + assert context.options is not None + model_options.append(( + context.options.get("tool_choice"), + context.options.get("conversation_id"), + [item.name for item in context.options.get("tools", []) if isinstance(item, FunctionTool)], + )) + await call_next() + + @tool(name="late_tool", approval_mode="never_require") + def late_tool() -> str: + target_calls.append("invoked") + return "target completed" + + @tool(name="second_loader", approval_mode="never_require") + def second_loader(context: FunctionInvocationContext) -> str: + assert context.tools is not None + if replace_tools: + context.tools[:] = [late_tool] + else: + context.add_tools(late_tool) + if outcome == "loader-failed": + raise loader_failure + return "target loaded" + + @tool(name="first_loader", approval_mode="never_require") + def first_loader(context: FunctionInvocationContext) -> str: + context.add_tools(second_loader) + return "second loader loaded" + + responses = [ + _pte_function_call_response("1", "first_loader"), + _pte_function_call_response("2", "second_loader"), + _pte_function_call_response("3", "late_tool"), + _pte_function_call_response("4", "late_tool"), + _pte_text_response(), + ] + if transition == "conversation": + for index, chat_response in enumerate(responses, start=1): + chat_response.conversation_id = f"conversation-{index}" + _pte_set_responses(chat_client_base, responses, streaming=streaming) + caller_tools = [first_loader] + caller_options: ChatOptions = {"tool_choice": "required" if transition == "required" else "auto"} + agent = Agent( + client=chat_client_base, tools=caller_tools, middleware=[AgentLevelFunctionMiddleware(), observe_options] + ) + run_middleware = [RunLevelFunctionMiddleware()] + session = AgentSession() + if streaming: + stream = agent.run( + "Load and call tools.", stream=True, session=session, options=caller_options, middleware=run_middleware + ) + updates = [update async for update in stream] + response = await stream.get_final_response() + streamed_results = [ + (content.call_id, content.result) + for update in updates + for content in update.contents + if content.type == "function_result" + ] + else: + response = await agent.run( + "Load and call tools.", session=session, options=caller_options, middleware=run_middleware + ) + + expected_invocations: list[str] = [] + for name in ["first_loader", "second_loader", "late_tool", "late_tool"]: + expected_invocations.extend([f"agent-before-{name}", f"run-before-{name}"]) + if name != "second_loader" or outcome != "loader-failed": + expected_invocations.extend([f"run-after-{name}", f"agent-after-{name}"]) + assert invocations == expected_invocations + assert target_calls == (["invoked", "invoked"] if outcome == "allowed" else []) + results = [ + content for message in response.messages for content in message.contents if content.type == "function_result" + ] + assert [content.call_id for content in results] == ["1", "2", "3", "4"] + assert results[0].result == "second loader loaded" + if outcome == "loader-failed": + assert results[1].exception == str(loader_failure) + assert results[1].result == "Error: Function failed." + else: + assert results[1].result == "target loaded" + expected_target_result = "target completed" if outcome == "allowed" else "blocked by policy" + assert [content.result for content in results[2:]] == [expected_target_result, expected_target_result] + if streaming: + assert streamed_results == [(content.call_id, content.result) for content in results] + assert response.messages[-1].text == "done" + assert [item[0] for item in model_options] == ( + ["required", None, None, None, None] if transition == "required" else ["auto"] * 5 + ) + assert [item[1] for item in model_options] == ( + [None, "conversation-1", "conversation-2", "conversation-3", "conversation-4"] + if transition == "conversation" + else [None] * 5 + ) + final_tools = ["late_tool"] if replace_tools else ["first_loader", "second_loader", "late_tool"] + assert [item[2] for item in model_options] == [ + ["first_loader"], + ["first_loader", "second_loader"], + final_tools, + final_tools, + final_tools, + ] + assert caller_tools == [first_loader] + assert caller_options == {"tool_choice": "required" if transition == "required" else "auto"} + assert session.service_session_id == ("conversation-5" if transition == "conversation" else None) + + +@pytest.mark.parametrize("streaming", [False, True], ids=["non-streaming", "streaming"]) +@pytest.mark.parametrize("approved", [False, True], ids=["rejected", "approved"]) +@pytest.mark.parametrize("max_iterations", [4], indirect=True) +async def test_second_generation_tools_preserve_middleware_on_approval_resume( + chat_client_base: SupportsChatGetResponse, streaming: bool, approved: bool +) -> None: + """A second-generation tool requires approval, then retains middleware on resume.""" + invocations: list[str] = [] + target_calls: list[str] = [] + + class RecordingMiddleware(FunctionMiddleware): + async def process(self, context: FunctionInvocationContext, call_next: Callable[[], Awaitable[None]]) -> None: + invocations.append(context.function.name) + await call_next() + + @tool(name="guarded_tool", approval_mode="always_require") + def guarded_tool() -> str: + target_calls.append("invoked") + return "target completed" + + @tool(name="second_loader", approval_mode="never_require") + def second_loader(context: FunctionInvocationContext) -> str: + context.add_tools(guarded_tool) + return "target loaded" + + @tool(name="first_loader", approval_mode="never_require") + def first_loader(context: FunctionInvocationContext) -> str: + context.add_tools(second_loader) + return "second loader loaded" + + _pte_set_responses( + chat_client_base, + [ + _pte_function_call_response("1", "first_loader"), + _pte_function_call_response("2", "second_loader"), + _pte_function_call_response("3", "guarded_tool"), + ], + streaming=streaming, + ) + session = AgentSession() + agent = Agent(client=chat_client_base, tools=[first_loader], middleware=[RecordingMiddleware()]) + if streaming: + first_stream = agent.run( + "Load guarded tool.", stream=True, session=session, options={"tool_choice": "required"} + ) + first_updates = [update async for update in first_stream] + first_response = await first_stream.get_final_response() + assert not any( + content.type == "function_result" and content.call_id == "3" + for update in first_updates + for content in update.contents + ) + else: + first_response = await agent.run("Load guarded tool.", session=session, options={"tool_choice": "required"}) + + requests = [ + content + for message in first_response.messages + for content in message.contents + if content.type == "function_approval_request" + ] + assert len(requests) == 1 + assert invocations == ["first_loader", "second_loader"] + assert target_calls == [] + + _pte_set_responses(chat_client_base, [_pte_text_response()], streaming=streaming) + approval = Message(role="user", contents=[requests[0].to_function_approval_response(approved=approved)]) + expected_result = "target completed" if approved else "Error: Tool call invocation was rejected by user." + if streaming: + resumed_stream = agent.run(approval, stream=True, session=session, tools=[guarded_tool]) + resumed_updates = [update async for update in resumed_stream] + resumed_response = await resumed_stream.get_final_response() + assert [ + (content.call_id, content.result) + for update in resumed_updates + for content in update.contents + if content.type == "function_result" + ] == [("3", expected_result)] + else: + resumed_response = await agent.run(approval, session=session, tools=[guarded_tool]) + + assert invocations == ["first_loader", "second_loader"] + (["guarded_tool"] if approved else []) + assert target_calls == (["invoked"] if approved else []) + assert [ + (content.call_id, content.result) + for message in resumed_response.messages + for content in message.contents + if content.type == "function_result" + ] == [("3", expected_result)] + assert resumed_response.messages[-1].text == "done" + + +@pytest.mark.parametrize("streaming", [False, True], ids=["non-streaming", "streaming"]) +@pytest.mark.parametrize("max_iterations", [4], indirect=True) +async def test_second_generation_tools_keep_shared_options_and_middleware_isolated( + chat_client_base: SupportsChatGetResponse, streaming: bool +) -> None: + """Shared clients/options do not transfer dynamic tools or run middleware between agents.""" + target_calls: list[str] = [] + invocations: list[tuple[str, str]] = [] + + class RunPolicy(FunctionMiddleware): + def __init__(self, label: str, *, allowed: bool) -> None: + self.label = label + self.allowed = allowed + + async def process(self, context: FunctionInvocationContext, call_next: Callable[[], Awaitable[None]]) -> None: + invocations.append((self.label, context.function.name)) + if context.function.name == "late_tool" and not self.allowed: + context.result = "blocked by policy" + return + await call_next() + + @tool(name="late_tool", approval_mode="never_require") + def late_tool() -> str: + target_calls.append("invoked") + return "target completed" + + @tool(name="second_loader", approval_mode="never_require") + def second_loader(context: FunctionInvocationContext) -> str: + context.add_tools(late_tool) + return "target loaded" + + @tool(name="first_loader", approval_mode="never_require") + def first_loader(context: FunctionInvocationContext) -> str: + assert context.tools == [first_loader] + context.add_tools(second_loader) + return "second loader loaded" + + caller_tools = [first_loader] + options: ChatOptions = {"tools": caller_tools, "tool_choice": "required"} + first_agent = Agent(client=chat_client_base) + second_agent = Agent(client=chat_client_base) + middleware: list[RunPolicy] + for agent, run_options, middleware, expected_result in [ + (first_agent, options, [RunPolicy("first", allowed=False)], "blocked by policy"), + (second_agent, options, [RunPolicy("second", allowed=True)], "target completed"), + (first_agent, options.copy(), [], "target completed"), + ]: + _pte_set_responses( + chat_client_base, + [ + _pte_function_call_response("1", "first_loader"), + _pte_function_call_response("2", "second_loader"), + _pte_function_call_response("3", "late_tool"), + _pte_text_response(), + ], + streaming=streaming, + ) + if streaming: + stream = agent.run("Load and call.", stream=True, options=run_options, middleware=middleware) + async for _ in stream: + pass + response = await stream.get_final_response() + else: + response = await agent.run("Load and call.", options=run_options, middleware=middleware) + assert [ + content.result + for message in response.messages + for content in message.contents + if content.type == "function_result" and content.call_id == "3" + ] == [expected_result] + assert options == {"tools": [first_loader], "tool_choice": "required"} + assert options["tools"] is caller_tools + + assert target_calls == ["invoked", "invoked"] + assert invocations == [ + (label, name) for label in ["first", "second"] for name in ["first_loader", "second_loader", "late_tool"] + ] + + async def test_add_tools_with_approval_required_tool(chat_client_base: SupportsChatGetResponse): @tool(name="secure_tool", approval_mode="always_require") def secure_tool(value: str) -> str: From e21140c78898067be2899995c67f1ed24db6fe1c Mon Sep 17 00:00:00 2001 From: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Date: Fri, 18 Sep 2026 14:38:02 +0000 Subject: [PATCH 09/30] [BREAKING] Python: Add request-scoped Foundry agent factories (#8372) * Python: Add request-scoped Foundry agent factories * Python: Refine Foundry factory ownership and session persistence Validate functional response batches before state changes, persist ordinary Invocations factory sessions, and document fresh execution objects as the factory author responsibility. Stabilize recovery fixtures and correct CI test typing. * fix: align workflow continuation checks Require recorded completion for both Invocations workflow types. Preserve stored state when incomplete continuation is rejected. * refactor: simplify hosting checkpoint handling Keep checkpoint error policy with the workflow runtime. Add HTTP coverage for request-scoped factory behavior. * Python: Simplify request-scoped Foundry agents * Python: Fix ResponseStream test typing * Python: Align request agent validation and stream cleanup * Python: Manage request-scoped Invocations agents * Python: Validate request agent callable shape * Python: Address request agent review feedback * docs: Clarify request-scoped Foundry agent creation --- .../packages/core/agent_framework/_types.py | 18 + .../agent_framework/_workflows/_functional.py | 14 +- python/packages/core/tests/core/test_types.py | 42 ++ .../workflow/test_functional_workflow.py | 8 + python/packages/foundry_hosting/README.md | 32 +- .../_agent_source.py | 39 ++ .../_invocations.py | 39 +- .../_responses.py | 385 +++++++++++------- .../foundry_hosting/tests/test_invocations.py | 123 ++++++ .../foundry_hosting/tests/test_responses.py | 147 ++++++- .../declarative_customer_support/README.md | 4 +- .../declarative_customer_support/main.py | 26 +- .../resilient_long_running_workflow/README.md | 2 + .../resilient_long_running_workflow/main.py | 19 +- .../responses/workflows/README.md | 4 +- .../responses/workflows/main.py | 12 +- 16 files changed, 724 insertions(+), 190 deletions(-) create mode 100644 python/packages/foundry_hosting/agent_framework_foundry_hosting/_agent_source.py diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py index 990c55c4ae9..eef2e504259 100644 --- a/python/packages/core/agent_framework/_types.py +++ b/python/packages/core/agent_framework/_types.py @@ -3520,6 +3520,24 @@ async def __anext__(self) -> UpdateT: update = await update return await self._record_update(update) + async def close(self) -> None: + """Close the active iterator and run cleanup hooks. + + This method is idempotent and also closes nested ``ResponseStream`` wrappers. + """ + try: + iterator: AsyncIterator[UpdateT] | None = self._iterator + if iterator is not None: + if isinstance(iterator, ResponseStream): + await cast(ResponseStream[UpdateT, Any], iterator).close() + else: + close = getattr(iterator, "aclose", None) + if close is not None: + await close() + finally: + self._consumed = True + await self._run_cleanup_hooks() + async def _resolve_stream_with_pull_contexts(self) -> AsyncIterable[UpdateT]: """Resolve the underlying stream while activating any registered pull context managers. diff --git a/python/packages/core/agent_framework/_workflows/_functional.py b/python/packages/core/agent_framework/_workflows/_functional.py index 14f7a132735..ae94a98692f 100644 --- a/python/packages/core/agent_framework/_workflows/_functional.py +++ b/python/packages/core/agent_framework/_workflows/_functional.py @@ -49,6 +49,7 @@ from copy import deepcopy from typing import Any, Generic, Literal, TypeVar, overload +from .._agents import BaseAgent from .._feature_stage import ExperimentalFeature, experimental from .._serialization import make_json_safe from .._types import AgentResponse, AgentResponseUpdate, ResponseStream @@ -1407,7 +1408,7 @@ def _decorator(fn: Callable[..., Awaitable[Any]]) -> FunctionalWorkflowDefinitio @experimental(feature_id=ExperimentalFeature.FUNCTIONAL_WORKFLOWS) -class FunctionalWorkflowAgent: +class FunctionalWorkflowAgent(BaseAgent): """Agent adapter for a :class:`FunctionalWorkflow`. Provides a ``run()`` method with the same overloaded signature as @@ -1452,10 +1453,13 @@ def __init__( # but not otherwise consumed. del kwargs self._workflow = workflow - self.name = name or workflow.name - self.id = f"FunctionalWorkflowAgent_{self.name}" - self.description: str | None = description if description is not None else workflow.description - self.context_providers: Sequence[Any] | None = context_providers + resolved_name = name or workflow.name + super().__init__( + id=f"FunctionalWorkflowAgent_{resolved_name}", + name=resolved_name, + description=description if description is not None else workflow.description, + context_providers=context_providers, + ) self._pending_requests: dict[str, WorkflowEvent[Any]] = {} @property diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py index 846c45e0b2a..80843c5e0f8 100644 --- a/python/packages/core/tests/core/test_types.py +++ b/python/packages/core/tests/core/test_types.py @@ -4192,6 +4192,48 @@ async def async_hook(update: ChatResponseUpdate) -> ChatResponseUpdate: class TestResponseStreamCleanupHooks: """Tests for cleanup hooks (after stream consumption, before finalizer).""" + async def test_close_closes_iterator_and_runs_cleanup_once(self) -> None: + """Closing a partially consumed stream releases its iterator and cleanup hooks.""" + events: list[str] = [] + + async def updates() -> AsyncIterable[ChatResponseUpdate]: + try: + yield ChatResponseUpdate(contents=[Content.from_text("first")], role="assistant") + yield ChatResponseUpdate(contents=[Content.from_text("second")], role="assistant") + finally: + events.append("iterator") + + stream: ResponseStream[ChatResponseUpdate, Sequence[ChatResponseUpdate]] = ResponseStream( + updates(), cleanup_hooks=[lambda: events.append("cleanup")] + ) + await anext(stream) + + await stream.close() + await stream.close() + + assert events == ["iterator", "cleanup"] + + async def test_close_closes_wrapped_stream(self) -> None: + """Closing a wrapper releases the concrete inner stream.""" + events: list[str] = [] + + async def updates() -> AsyncIterable[ChatResponseUpdate]: + try: + yield ChatResponseUpdate(contents=[Content.from_text("first")], role="assistant") + yield ChatResponseUpdate(contents=[Content.from_text("second")], role="assistant") + finally: + events.append("iterator") + + inner: ResponseStream[ChatResponseUpdate, Sequence[ChatResponseUpdate]] = ResponseStream( + updates(), cleanup_hooks=[lambda: events.append("inner")] + ) + outer = inner.map(lambda update: update, _combine_updates).with_cleanup_hook(lambda: events.append("outer")) + await anext(outer) + + await outer.close() + + assert events == ["iterator", "inner", "outer"] + async def test_cleanup_hook_called_after_iteration(self) -> None: """Cleanup hook is called after iteration completes.""" cleanup_called = {"value": False} diff --git a/python/packages/core/tests/workflow/test_functional_workflow.py b/python/packages/core/tests/workflow/test_functional_workflow.py index 6f60aba0395..43c0ef84e37 100644 --- a/python/packages/core/tests/workflow/test_functional_workflow.py +++ b/python/packages/core/tests/workflow/test_functional_workflow.py @@ -26,6 +26,7 @@ InMemoryCheckpointStorage, RunContext, StepWrapper, + SupportsAgentRun, WorkflowEvent, WorkflowEventSource, WorkflowRunResult, @@ -1051,6 +1052,13 @@ async def wf(x: int) -> int: assert agent.id == "FunctionalWorkflowAgent_my_agent" assert agent.description == "A test workflow" + async def test_as_agent_implements_supports_agent_run(self): + @built_workflow + async def wf(x: int) -> int: + return x + + assert isinstance(wf.as_agent(), SupportsAgentRun) + # --------------------------------------------------------------------------- # Concurrent execution guard diff --git a/python/packages/foundry_hosting/README.md b/python/packages/foundry_hosting/README.md index 9f85be244b5..a7a59803df4 100644 --- a/python/packages/foundry_hosting/README.md +++ b/python/packages/foundry_hosting/README.md @@ -2,6 +2,33 @@ This package provides the integration of Agent Framework agents and workflows with the Foundry Agent Server, which can be hosted on Foundry infrastructure. +## Agent instances and factories + +`ResponsesHostServer` and `InvocationsHostServer` accept an agent instance or a zero-argument callable through the +existing `agent` parameter. The callable may be synchronous or asynchronous, must return an object implementing +`SupportsAgentRun`, and is invoked once for each request: + +```python +server = ResponsesHostServer(agent=create_agent) +``` + +Passing an instance reuses that object for the lifetime of the host. Pass a callable when the agent keeps mutable state +outside `AgentSession`. In particular, a `WorkflowAgent` wraps a stateful workflow, so its callable should build a new +workflow, executors, and wrapped agents. Keep the workflow name and executor IDs stable so later requests can find and +restore its checkpoints: + +```python +def create_agent(): + return build_workflow().as_agent() + + +server = ResponsesHostServer(agent=create_agent) +``` + +The Responses host continues regular agents through its existing session store and workflow agents through its +existing checkpoint store. A callable does not make arbitrary instance fields persistent; state needed by later +requests must remain in the supported stores. + ## Conversation history `ResponsesHostServer` uses AgentServer response history as the model's conversation history by default: @@ -21,8 +48,9 @@ AgentServer history requires a framework `RawAgent` whose client declares the bo the agent's runtime options then let hosting enforce downstream storage behavior. Custom `SupportsAgentRun` implementations must use `history_source="agent"` because that protocol does not accept runtime chat options. -`ResponsesHostServer` owns the supplied agent instance and may add hosting-specific context providers. Do not reuse that -agent with another host or invoke it directly after constructing the server. +`ResponsesHostServer` owns a supplied agent instance and may add hosting-specific context providers. Do not reuse that +instance with another host or invoke it directly after constructing the server. An agent returned by a callable belongs +to that request. To preserve the agent's regular history and service-storage behavior, select the agent as the history source: diff --git a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_agent_source.py b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_agent_source.py new file mode 100644 index 00000000000..5f9509b3fef --- /dev/null +++ b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_agent_source.py @@ -0,0 +1,39 @@ +# Copyright (c) Microsoft. All rights reserved. + +from __future__ import annotations + +import inspect +from collections.abc import Awaitable, Callable +from typing import TypeAlias, TypeGuard, cast + +from agent_framework import SupportsAgentRun + +AgentSource: TypeAlias = SupportsAgentRun | Callable[[], SupportsAgentRun | Awaitable[SupportsAgentRun]] + + +def is_agent(value: object) -> TypeGuard[SupportsAgentRun]: + return not inspect.isclass(value) and isinstance(value, SupportsAgentRun) + + +def validate_agent_source(source: object) -> None: + if is_agent(source): + return + if not callable(source): + raise TypeError("agent must be an agent instance or a zero-argument callable that creates one.") + try: + inspect.signature(source).bind() + except (TypeError, ValueError) as exc: + raise TypeError("agent callable must accept no arguments.") from exc + + +async def resolve_agent(source: AgentSource) -> SupportsAgentRun: + """Resolve an agent instance or request-scoped agent factory.""" + if is_agent(source): + return source + + factory = cast(Callable[[], SupportsAgentRun | Awaitable[SupportsAgentRun]], source) + result = factory() + agent = await result if inspect.isawaitable(result) else result + if not is_agent(agent): + raise TypeError("The agent factory must return an object implementing SupportsAgentRun.") + return agent diff --git a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_invocations.py b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_invocations.py index cd539da4fec..0cf7a6e97e0 100644 --- a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_invocations.py +++ b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_invocations.py @@ -1,8 +1,10 @@ # Copyright (c) Microsoft. All rights reserved. import json +from collections.abc import Awaitable, Callable +from contextlib import AbstractAsyncContextManager, AsyncExitStack, asynccontextmanager -from agent_framework import AgentSession, SupportsAgentRun +from agent_framework import AgentSession, ResponseStream, SupportsAgentRun from agent_framework._telemetry import mark_feature_used from azure.ai.agentserver.core import get_request_context from azure.ai.agentserver.invocations import InvocationAgentServerHost @@ -10,6 +12,7 @@ from starlette.responses import Response, StreamingResponse from typing_extensions import Any, AsyncGenerator +from ._agent_source import is_agent, resolve_agent, validate_agent_source from ._feature_usage import FeatureIndex @@ -18,7 +21,7 @@ class InvocationsHostServer(InvocationAgentServerHost): def __init__( self, - agent: SupportsAgentRun, + agent: SupportsAgentRun | Callable[[], SupportsAgentRun | Awaitable[SupportsAgentRun]], *, openapi_spec: dict[str, Any] | None = None, **kwargs: Any, @@ -26,7 +29,8 @@ def __init__( """Initialize an InvocationsHostServer. Args: - agent: The agent to handle responses for. + agent: The agent to handle responses for, or a zero-argument sync or async callable that creates one for + each request. Use a callable for agents that keep mutable state outside `AgentSession`. openapi_spec: The OpenAPI specification for the server. **kwargs: Additional keyword arguments. @@ -34,9 +38,11 @@ def __init__( The response from the host will be a JSON object with a "response" field containing the agent's response and a "session_id" field containing the session ID. """ + validate_agent_source(agent) super().__init__(openapi_spec=openapi_spec, **kwargs) self._agent = agent + self._owns_request_agent = not is_agent(agent) self._sessions: dict[str | tuple[str, str], AgentSession] = {} self.invoke_handler(self._handle_invoke) mark_feature_used(FeatureIndex.FOUNDRY_HOSTING) @@ -72,6 +78,14 @@ def _partition_key(self) -> str | tuple[str, str]: return context.session_id + @asynccontextmanager + async def _request_agent(self) -> AsyncGenerator[SupportsAgentRun]: + agent = await resolve_agent(self._agent) + async with AsyncExitStack() as resources: + if self._owns_request_agent and isinstance(agent, AbstractAsyncContextManager): + await resources.enter_async_context(agent) + yield agent + async def _handle_invoke(self, request: Request) -> Response: """Invoke the agent with the given request.""" try: @@ -100,9 +114,19 @@ async def _handle_invoke(self, request: Request) -> Response: if stream: async def stream_response() -> AsyncGenerator[str]: - async for update in self._agent.run(user_message, session=session, stream=True): - if update.text: - yield update.text + async with self._request_agent() as agent: + stream = agent.run(user_message, session=session, stream=True) + try: + async for update in stream: + if update.text: + yield update.text + finally: + if isinstance(stream, ResponseStream): + await stream.close() + else: + close = getattr(stream, "aclose", None) + if close is not None: + await close() return StreamingResponse( stream_response(), @@ -110,5 +134,6 @@ async def stream_response() -> AsyncGenerator[str]: headers={"Cache-Control": "no-cache", "Connection": "keep-alive"}, ) - response = await self._agent.run([user_message], session=session) + async with self._request_agent() as agent: + response = await agent.run([user_message], session=session) return Response(content=response.text) diff --git a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py index 77d56c5e631..6f7b9ebcf29 100644 --- a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py +++ b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py @@ -9,7 +9,16 @@ import logging import os import re -from collections.abc import AsyncGenerator, AsyncIterable, AsyncIterator, Generator, Mapping, Sequence +from collections.abc import ( + AsyncGenerator, + AsyncIterable, + AsyncIterator, + Awaitable, + Callable, + Generator, + Mapping, + Sequence, +) from contextlib import AbstractAsyncContextManager, AsyncExitStack, aclosing, suppress from dataclasses import asdict, dataclass, is_dataclass from typing import Generic, Literal, TypeGuard, TypeVar, cast @@ -25,6 +34,7 @@ InMemoryHistoryProvider, Message, RawAgent, + ResponseStream, SessionStore, SupportsAgentRun, UsageDetails, @@ -73,6 +83,7 @@ from mcp import McpError from typing_extensions import Any +from ._agent_source import is_agent, resolve_agent, validate_agent_source from ._feature_usage import FeatureIndex from ._state_store import ( AgentSessionStoreProvider, @@ -151,9 +162,8 @@ class _SignalledIterator(Generic[_T]): async context. If an event and a new item becomes ready at the same time, the event takes priority and the item - is discarded. Cancelling the background task while it's mid-call is also what actually interrupts - a suspended model/tool call, since ``ResponseStream`` (what ``SupportsAgentRun.run(stream=True)`` - returns) has no ``aclose()`` of its own. + is discarded. Cancelling the background task while it's mid-call interrupts a suspended model or + tool call, then the driver closes the underlying stream in ``finally``. Callers MUST drive this through ``contextlib.aclosing`` (or an equivalent try/finally calling ``aclose()``): ``__anext__`` only cancels the driver task on its own signalled/exhausted paths, so @@ -190,16 +200,25 @@ def __aiter__(self) -> _SignalledIterator[_T]: async def _drive(self) -> None: """Pull items from the wrapped iterator into ``self._queue`` for the object's lifetime.""" - while True: - try: - item: Any = await self._iterator.__anext__() - except StopAsyncIteration: - await self._queue.put(_STOP_SENTINEL) - return - except Exception as exc: - await self._queue.put(exc) - return - await self._queue.put(item) + try: + while True: + try: + item: Any = await self._iterator.__anext__() + except StopAsyncIteration: + await self._queue.put(_STOP_SENTINEL) + return + except Exception as exc: + await self._queue.put(exc) + return + await self._queue.put(item) + finally: + iterator: AsyncIterator[_T] = self._iterator + if isinstance(iterator, ResponseStream): + await cast(ResponseStream[_T, Any], iterator).close() + else: + close = getattr(iterator, "aclose", None) + if close is not None: + await close() async def __anext__(self) -> _T: if self._driver is None: @@ -372,13 +391,102 @@ def consent_url_from_error(exc: BaseException) -> list[ConsentError] | None: # endregion Foundry Toolbox Auth integration +@dataclass(frozen=True) +class _AgentConfiguration: + workflow: bool + agent_server_history: bool + client_stores_by_default: bool + hosted_history: bool + + +def _validate_agent_configuration( + agent: SupportsAgentRun, + history_source: Literal["agent_server", "agent"], + options: ResponsesServerOptions | None, +) -> _AgentConfiguration: + is_workflow_agent = isinstance(agent, WorkflowAgent) + if is_workflow_agent and agent.workflow._runner_context.has_checkpointing(): # pyright: ignore[reportPrivateUsage] + raise RuntimeError( + "There should not be a checkpoint storage already present in the workflow agent. " + "The hosting infrastructure will manage checkpoints instead." + ) + + resilient_background = bool(options and options.resilient_background) + if resilient_background and not is_workflow_agent: + raise RuntimeError( + "resilient_background=True is only supported for workflow agents. " + "Crash recovery cannot be provided for non-workflow agents." + ) + if options and options.steerable_conversations and is_workflow_agent: + raise RuntimeError( + "steerable_conversations=True is only supported for non-workflow agents. " + "Steering cannot be provided reliably for workflow agents." + ) + + uses_agent_server_history = history_source == "agent_server" + client_stores_by_default = False + if uses_agent_server_history and not is_workflow_agent: + if not isinstance(agent, RawAgent): + raise RuntimeError( + "history_source='agent_server' requires a RawAgent so hosting can enforce downstream " + "storage options. Construct ResponsesHostServer with history_source='agent' for a custom " + "SupportsAgentRun implementation." + ) + for provider in agent.context_providers: + if isinstance(provider, HistoryProvider) and provider.load_messages: + if _is_hosted_responses_history_sentinel(provider): + continue + raise RuntimeError( + "AgentServer response history is enabled, but the agent has a HistoryProvider " + "with load_messages=True. Remove that provider or construct ResponsesHostServer " + "with history_source='agent' to use the agent's regular history setup." + ) + service_continuation_options = [ + name + for name in ("conversation_id", "previous_response_id", "conversation") + if agent.default_options.get(name) is not None + ] + if service_continuation_options: + raise RuntimeError( + "AgentServer response history is enabled, but the agent has downstream service continuation " + f"option(s): {', '.join(service_continuation_options)}. Remove them or construct " + "ResponsesHostServer with history_source='agent' to resume the downstream service conversation." + ) + stores_by_default = getattr(cast(Any, agent).client, "STORES_BY_DEFAULT", None) + if not isinstance(stores_by_default, bool): + raise RuntimeError( + "history_source='agent_server' requires the agent's chat client to declare " + "STORES_BY_DEFAULT so hosting can enforce downstream storage behavior." + ) + client_stores_by_default = stores_by_default + + return _AgentConfiguration( + workflow=is_workflow_agent, + agent_server_history=uses_agent_server_history, + client_stores_by_default=client_stores_by_default, + hosted_history=uses_agent_server_history and not is_workflow_agent, + ) + + +def _initialize_agent_history(agent: SupportsAgentRun, configuration: _AgentConfiguration) -> None: + if not configuration.hosted_history or not isinstance(agent, RawAgent): + return + if not configuration.client_stores_by_default: + agent.default_options.pop("store", None) + if not any( + _is_hosted_responses_history_sentinel(provider) + for provider in cast(Sequence[ContextProvider], agent.context_providers) + ): + agent.context_providers.append(InMemoryHistoryProvider(source_id=_HOSTED_RESPONSES_HISTORY_SOURCE_ID)) + + # region ResponsesHostServer class ResponsesHostServer(ResponsesAgentServerHost): """A responses server host for an agent.""" def __init__( self, - agent: SupportsAgentRun, + agent: SupportsAgentRun | Callable[[], SupportsAgentRun | Awaitable[SupportsAgentRun]], *, prefix: str = "", options: ResponsesServerOptions | None = None, @@ -392,7 +500,8 @@ def __init__( """Initialize a ResponsesHostServer. Args: - agent: The agent to handle responses for. + agent: The agent to handle responses for, or a zero-argument sync or async callable that creates one for + each request. Use a callable for agents that keep mutable state outside `AgentSession`. prefix: The URL prefix for the server. options: Optional server options. store: Optional response store for input and history look up. @@ -420,6 +529,7 @@ def __init__( `history_source="agent"` mode, is persisted by the configured session store. 3. The server owns the supplied agent instance and may add hosting-specific providers. Do not reuse the same agent with another host or invoke it directly after construction. + An agent returned by a callable belongs to that request. 4. Resiliency (resilient_background=True) is ONLY supported for workflows; constructing this server with a non-workflow agent and `resilient_background=True` raises `RuntimeError`. When resiliency is enabled, and the server crashes mid-response: @@ -442,92 +552,29 @@ def __init__( """ if history_source not in ("agent_server", "agent"): raise ValueError("history_source must be either 'agent_server' or 'agent'.") + validate_agent_source(agent) - is_workflow_agent = isinstance(agent, WorkflowAgent) - if is_workflow_agent and agent.workflow._runner_context.has_checkpointing(): # pyright: ignore[reportPrivateUsage] - raise RuntimeError( - "There should not be a checkpoint storage already present in the workflow agent. " - "The hosting infrastructure will manage checkpoints instead." - ) - - resilient_background = bool(options and options.resilient_background) - if resilient_background and not is_workflow_agent: - raise RuntimeError( - "resilient_background=True is only supported for workflow agents. " - "Crash recovery cannot be provided for non-workflow agents." - ) - if options and options.steerable_conversations and is_workflow_agent: - raise RuntimeError( - "steerable_conversations=True is only supported for non-workflow agents. " - "Steering cannot be provided reliably for workflow agents." - ) - - uses_agent_server_history = history_source == "agent_server" - client_stores_by_default = False - if uses_agent_server_history and not is_workflow_agent: - if not isinstance(agent, RawAgent): - raise RuntimeError( - "history_source='agent_server' requires a RawAgent so hosting can enforce downstream " - "storage options. Construct ResponsesHostServer with history_source='agent' for a custom " - "SupportsAgentRun implementation." - ) - for provider in agent.context_providers: - if isinstance(provider, HistoryProvider) and provider.load_messages: - if _is_hosted_responses_history_sentinel(provider): - continue - raise RuntimeError( - "AgentServer response history is enabled, but the agent has a HistoryProvider " - "with load_messages=True. Remove that provider or construct ResponsesHostServer " - "with history_source='agent' to use the agent's regular history setup." - ) - service_continuation_options = [ - name - for name in ("conversation_id", "previous_response_id", "conversation") - if agent.default_options.get(name) is not None - ] - if service_continuation_options: - raise RuntimeError( - "AgentServer response history is enabled, but the agent has downstream service continuation " - f"option(s): {', '.join(service_continuation_options)}. Remove them or construct " - "ResponsesHostServer with history_source='agent' to resume the downstream service conversation." - ) - stores_by_default = getattr(cast(Any, agent).client, "STORES_BY_DEFAULT", None) - if not isinstance(stores_by_default, bool): - raise RuntimeError( - "history_source='agent_server' requires the agent's chat client to declare " - "STORES_BY_DEFAULT so hosting can enforce downstream storage behavior." - ) - client_stores_by_default = stores_by_default + resolved_agent = agent if is_agent(agent) else None + configuration = ( + _validate_agent_configuration(resolved_agent, history_source, options) + if resolved_agent is not None + else None + ) # No caller-owned agent state is mutated until all validation and base-host construction succeed. super().__init__(prefix=prefix, options=options, store=store, **kwargs) - self._uses_agent_server_history = uses_agent_server_history - self._client_stores_by_default = client_stores_by_default - self._is_workflow_agent = is_workflow_agent - self._resilient_background = resilient_background - - self._uses_hosted_responses_history = False - if self._uses_agent_server_history and not self._is_workflow_agent and isinstance(agent, RawAgent): - self._uses_hosted_responses_history = True - if not self._client_stores_by_default: - agent.default_options.pop("store", None) - if not any( - _is_hosted_responses_history_sentinel(provider) - for provider in cast(Sequence[ContextProvider], agent.context_providers) - ): - # The Responses provider already supplies the complete transcript on every - # call. Agent.run would otherwise mutate the same user-owned agent by - # auto-injecting its default InMemoryHistoryProvider. Install a transient - # buffer that carries history within a function-call loop, then discard its - # state before persisting the session so the transcript is not replayed twice. - agent.context_providers.append( - InMemoryHistoryProvider( - source_id=_HOSTED_RESPONSES_HISTORY_SOURCE_ID, - ) - ) - - self._agent: SupportsAgentRun = agent + self._agent_source = agent + self._agent = resolved_agent + self._configuration = configuration + self._history_source: Literal["agent_server", "agent"] = history_source + self._host_options = options + self._uses_agent_server_history = ( + configuration.agent_server_history if configuration is not None else history_source == "agent_server" + ) + self._resilient_background = bool(options and options.resilient_background) + if resolved_agent is not None and configuration is not None: + _initialize_agent_history(resolved_agent, configuration) # Storage providers self._checkpoint_storage_provider = ( @@ -566,10 +613,13 @@ async def _ensure_agent_ready(self) -> None: async with self._agent_init_lock: if self._agent_stack is not None: return + agent = self._agent + if agent is None: + raise RuntimeError("A request-scoped agent cannot use the server-lifetime initialization path.") stack = AsyncExitStack() try: - if isinstance(self._agent, AbstractAsyncContextManager): - await stack.enter_async_context(cast(AbstractAsyncContextManager[Any], self._agent)) + if isinstance(agent, AbstractAsyncContextManager): + await stack.enter_async_context(cast(AbstractAsyncContextManager[Any], agent)) except BaseException: await stack.aclose() raise @@ -589,26 +639,65 @@ async def _handle_response( cancellation_signal: asyncio.Event, ) -> AsyncIterable[ResponseStreamEvent | ResponseCheckpointEvent]: """Handle the creation of a response.""" - # Common per-request setup shared by the workflow and non-workflow paths: - # create the response stream and the streaming output-item tracker, emit - # the opening lifecycle events, and convert any exception raised while - # producing the response into a terminal ``response.failed`` event (which - # also drains the tracker so the SSE stream stays well-formed). response_event_stream = _create_response_event_stream(context) - if context.is_steered_turn: logger.debug("Serving steered turn (pending_input_count=%d)", context.pending_input_count) - yield response_event_stream.emit_created() yield response_event_stream.emit_in_progress() + terminal_event: ResponseStreamEvent | None = None + agent = await resolve_agent(self._agent_source) + configuration = self._configuration or _validate_agent_configuration( + agent, self._history_source, self._host_options + ) + if self._configuration is None: + _initialize_agent_history(agent, configuration) + + async with AsyncExitStack() as resources: + inner = self._handle_prepared_response( + request, + context, + cancellation_signal, + response_event_stream, + agent, + configuration, + resources, + ) + try: + async for event in inner: + if isinstance(event, Mapping) and event.get("type") in ( + "response.completed", + "response.incomplete", + "response.failed", + ): + terminal_event = event + else: + yield event + finally: + await inner.aclose() + if terminal_event is not None: + yield terminal_event + + async def _handle_prepared_response( + self, + request: CreateResponse, + context: ResponseContext, + cancellation_signal: asyncio.Event, + response_event_stream: ResponseEventStream, + agent: SupportsAgentRun, + configuration: _AgentConfiguration, + resources: AsyncExitStack, + ) -> AsyncGenerator[ResponseStreamEvent | ResponseCheckpointEvent]: # Lazy-enter the agent (and any MCP tools it owns). The MCP client wraps gateway # consent failures (and other connection-time errors) in AgentFrameworkException; if # one of those is a consent error we surface the consent link to the client through # the already-opened response stream instead of failing the request. Other exception # types fall through to the outer handler below and become ``response.failed``. try: - await self._ensure_agent_ready() + if self._configuration is not None: + await self._ensure_agent_ready() + elif isinstance(agent, AbstractAsyncContextManager): + await resources.enter_async_context(agent) except AgentFrameworkException as ex: consent_errors_to_emit = consent_url_from_error(ex) if consent_errors_to_emit is None or len(consent_errors_to_emit) == 0: @@ -634,7 +723,7 @@ async def _handle_response( yield event return - if not self._is_workflow_agent: + if not configuration.workflow: try: request_context = get_request_context() session_storage = self._session_storage_provider.get_store( @@ -649,7 +738,7 @@ async def _handle_response( "Cannot find an existing agent session for " f"previous_response_id={previous_response_id}." ) - session = self._agent.create_session() + session = agent.create_session() await session_storage.set(context.conversation_id or context.response_id, session) except Exception as save_error: logger.error( @@ -678,12 +767,25 @@ async def _handle_response( tracker = _OutputItemTracker(response_event_stream) try: - if self._is_workflow_agent: + if configuration.workflow: inner = self._handle_inner_workflow( - request, context, response_event_stream, tracker, cancellation_signal + request, + context, + response_event_stream, + tracker, + cancellation_signal, + cast(WorkflowAgent, agent), ) else: - inner = self._handle_inner_agent(request, context, response_event_stream, tracker, cancellation_signal) + inner = self._handle_inner_agent( + request, + context, + response_event_stream, + tracker, + cancellation_signal, + agent, + configuration, + ) try: async for event in inner: @@ -712,6 +814,7 @@ async def _load_request_messages( context: ResponseContext, *, approval_storage: FunctionApprovalStore | None, + configuration: _AgentConfiguration | None = None, ) -> list[Message]: """Load the request's input and prior history concurrently, assembled for the run. @@ -726,13 +829,16 @@ async def _load_request_messages( need to know the storage-result ordering. If either read fails, the sibling task is cancelled and drained so no storage read is orphaned. """ + uses_agent_server_history = ( + configuration.agent_server_history if configuration is not None else self._uses_agent_server_history + ) async def _load_input() -> list[Message]: input_items = await context.get_input_items() return await _items_to_messages(input_items, approval_storage=approval_storage) async def _load_history() -> list[Message]: - if not self._uses_agent_server_history: + if not uses_agent_server_history: return [] history = await context.get_history() return await _output_items_to_messages(history, approval_storage=approval_storage) @@ -758,6 +864,8 @@ async def _handle_inner_agent( response_event_stream: ResponseEventStream, tracker: _OutputItemTracker, cancellation_signal: asyncio.Event, + agent: SupportsAgentRun, + configuration: _AgentConfiguration, ) -> AsyncGenerator[ResponseStreamEvent]: """Handle a regular (non-workflow) agent. @@ -786,7 +894,11 @@ async def _handle_inner_agent( # session load below. These are independent storage round-trips with no data dependency # between them, so overlapping them removes serial latency from the request critical path. request_messages_task = asyncio.ensure_future( - self._load_request_messages(context, approval_storage=approval_storage) + self._load_request_messages( + context, + approval_storage=approval_storage, + configuration=configuration, + ) ) previous_response_id = request.get("previous_response_id") @@ -797,7 +909,7 @@ async def _handle_inner_agent( raise RuntimeError( f"Cannot find an existing agent session for previous_response_id={previous_response_id}." ) - session = self._agent.create_session() + session = agent.create_session() session_save_id = context.conversation_id or context.response_id except BaseException as ex: # Session preparation failed (or the request was cancelled / the stream closed — @@ -816,7 +928,7 @@ async def _handle_inner_agent( request_interrupted = False try: - if self._uses_agent_server_history: + if configuration.agent_server_history: session.state.pop(_HOSTED_RESPONSES_HISTORY_SOURCE_ID, None) # A restored service ID belongs to the downstream model service. Replaying the # AgentServer transcript while resuming that service history would duplicate every @@ -829,8 +941,8 @@ async def _handle_inner_agent( "session": session, } chat_options, are_options_set = _to_chat_options(request) - if self._uses_agent_server_history: - if self._client_stores_by_default: + if configuration.agent_server_history: + if configuration.client_stores_by_default: # The response provider already owns the transcript used for this run. Keep a # storing downstream service stateless so it cannot become a second history source. chat_options["store"] = False @@ -838,7 +950,7 @@ async def _handle_inner_agent( # Do not pass a storage option to clients that do not advertise support for it. chat_options.pop("store", None) - if isinstance(self._agent, RawAgent): + if isinstance(agent, RawAgent): run_kwargs["options"] = chat_options elif are_options_set: logger.warning("Agent doesn't support runtime options. They will be ignored.") @@ -846,7 +958,7 @@ async def _handle_inner_agent( # Non-workflow agents can't be resilient, so there is no exit_for_recovery path here: # both shutdown and steering/cancel just wind the turn down once observed. agent_stream = _SignalledIterator( - self._agent.run(stream=True, **run_kwargs), # type: ignore[reportUnknownMemberType] + agent.run(stream=True, **run_kwargs), # type: ignore[reportUnknownMemberType] context.shutdown, cancellation_signal, ) @@ -867,12 +979,12 @@ async def _handle_inner_agent( exc_info=(type(ex), ex, ex.__traceback__), ) finally: - if self._uses_hosted_responses_history: + if configuration.hosted_history: session.state.pop(_HOSTED_RESPONSES_HISTORY_SOURCE_ID, None) # A service ID here means the client stored the turn despite the forced `store=False`. # Do not persist a session that could resume that unreconciled history on a later turn. - stored_output_violation = self._uses_agent_server_history and session.service_session_id is not None + stored_output_violation = configuration.agent_server_history and session.service_session_id is not None if stored_output_violation: misconfigured = RuntimeError( "The agent's chat client stored this turn server-side while AgentServer response history " @@ -912,11 +1024,9 @@ async def _handle_inner_workflow( response_event_stream: ResponseEventStream, tracker: _OutputItemTracker, cancellation_signal: asyncio.Event, + agent: WorkflowAgent, ) -> AsyncGenerator[ResponseStreamEvent | ResponseCheckpointEvent]: """Handle the creation of a response for a workflow agent.""" - if not isinstance(self._agent, WorkflowAgent): - raise RuntimeError("Agent is not a workflow agent.") - try: request_context = get_request_context() approval_storage = self._function_approval_storage_provider.get_store( @@ -953,10 +1063,10 @@ async def _handle_inner_workflow( if checkpoint_id is not None: logger.debug("Serving recovery request from workflow checkpoint %s", checkpoint_id) run_stream = self._resume_workflow_from_checkpoint( - checkpoint_id, checkpoint_storage, context.response_id + checkpoint_id, checkpoint_storage, context.response_id, agent ) else: - latest_checkpoint = await checkpoint_storage.get_latest(workflow_name=self._agent.workflow.name) + latest_checkpoint = await checkpoint_storage.get_latest(workflow_name=agent.workflow.name) if latest_checkpoint is not None: logger.debug( "Found a workflow checkpoint %s but no prior response snapshot was durably persisted; " @@ -964,7 +1074,10 @@ async def _handle_inner_workflow( latest_checkpoint.checkpoint_id, ) run_stream = self._resume_workflow_from_checkpoint( - latest_checkpoint.checkpoint_id, checkpoint_storage, context.response_id + latest_checkpoint.checkpoint_id, + checkpoint_storage, + context.response_id, + agent, ) else: # No checkpoint was ever paired with a persisted response snapshot (e.g. the crash @@ -974,7 +1087,7 @@ async def _handle_inner_workflow( logger.debug( "Serving recovery request with no prior workflow checkpoint; replaying original input" ) - run_stream = self._agent.run( + run_stream = agent.run( input_messages, stream=True, checkpoint_storage=checkpoint_storage, @@ -996,7 +1109,7 @@ async def _handle_inner_workflow( context_id=checkpoint_load_id, platform_context=request_context, ) - latest_checkpoint = await restore_checkpoint_storage.get_latest(workflow_name=self._agent.workflow.name) + latest_checkpoint = await restore_checkpoint_storage.get_latest(workflow_name=agent.workflow.name) if latest_checkpoint is None and previous_response_id is not None: # A previous_response_id must have a prior workflow checkpoint to resume from @@ -1014,13 +1127,13 @@ async def _handle_inner_workflow( # If the restored checkpoint had pending request_info events, the # restore-only call replays them through # ``WorkflowAgent._convert_workflow_event_to_agent_response_updates`` - # and populates ``self._agent.pending_requests``. That is the correct + # and populates ``agent.pending_requests``. That is the correct # state: those requests are genuinely outstanding, and the next # ``run(input_messages, ...)`` call may contain ``function_call_output`` # items (carried as FunctionResult/FunctionApprovalResponse content) # that fulfill them via :meth:`WorkflowAgent._process_pending_requests`. restore_iter = _SignalledIterator( - self._agent.run( + agent.run( stream=True, checkpoint_id=latest_checkpoint.checkpoint_id, checkpoint_storage=restore_checkpoint_storage, @@ -1042,7 +1155,7 @@ async def _handle_inner_workflow( if cancellation_signal.is_set(): return - run_stream = self._agent.run( + run_stream = agent.run( input_messages, stream=True, checkpoint_storage=checkpoint_storage, @@ -1052,7 +1165,7 @@ async def _handle_inner_workflow( async with aclosing(main_iter): async for update in main_iter: if self._resilient_background: - latest_checkpoint = await checkpoint_storage.get_latest(workflow_name=self._agent.workflow.name) + latest_checkpoint = await checkpoint_storage.get_latest(workflow_name=agent.workflow.name) if ( latest_checkpoint is not None and latest_checkpoint.checkpoint_id @@ -1092,6 +1205,7 @@ async def _resume_workflow_from_checkpoint( checkpoint_id: str, checkpoint_storage: CheckpointStorage, response_id: str, + agent: WorkflowAgent, ) -> AsyncGenerator[AgentResponseUpdate]: """Resume a crashed background workflow run, forwarding every event it produces. @@ -1106,9 +1220,6 @@ async def _resume_workflow_from_checkpoint( TODO(@taochen): #7677 """ - if not isinstance(self._agent, WorkflowAgent): - raise RuntimeError("Agent is not a workflow agent.") - agent = self._agent async for event in agent.workflow.run( stream=True, checkpoint_id=checkpoint_id, diff --git a/python/packages/foundry_hosting/tests/test_invocations.py b/python/packages/foundry_hosting/tests/test_invocations.py index 95857ab7d5b..250799849a6 100644 --- a/python/packages/foundry_hosting/tests/test_invocations.py +++ b/python/packages/foundry_hosting/tests/test_invocations.py @@ -15,6 +15,7 @@ from collections.abc import AsyncIterator, Iterator from contextlib import contextmanager from itertools import product +from typing import cast from unittest.mock import AsyncMock, MagicMock, patch import pytest @@ -96,6 +97,47 @@ def get_session( return AgentSession(service_session_id=service_session_id, session_id=session_id) +class _ContextAgent(_FakeAgent): + def __init__( + self, + events: list[str], + *, + response: AgentResponse | None = None, + stream_updates: list[AgentResponseUpdate] | None = None, + ) -> None: + super().__init__(response=response, stream_updates=stream_updates) + self._events = events + + async def __aenter__(self) -> _ContextAgent: + self._events.append("enter") + return self + + async def __aexit__(self, exc_type: Any, exc: Any, tb: Any) -> None: + self._events.append("exit") + + def run( + self, + messages: Any = None, + *, + stream: bool = False, + session: AgentSession | None = None, + **kwargs: Any, + ) -> Any: + self._events.append("run") + result = super().run(messages, stream=stream, session=session, **kwargs) + if not stream: + return result + + async def _gen() -> AsyncIterator[AgentResponseUpdate]: + try: + async for update in result: + yield update + finally: + self._events.append("stream_close") + + return _gen() + + def _make_agent( *, response_text: str | None = None, @@ -153,6 +195,22 @@ def test_accepts_supports_agent_run(self) -> None: assert server._agent is not None # pyright: ignore[reportPrivateUsage] assert server._sessions == {} # pyright: ignore[reportPrivateUsage] + @pytest.mark.parametrize("agent", [None, 42]) + def test_rejects_invalid_agent_source(self, agent: Any) -> None: + with pytest.raises(TypeError, match="agent must be an agent instance or a zero-argument callable"): + InvocationsHostServer(agent) + + def test_rejects_agent_class_requiring_constructor_arguments(self) -> None: + with pytest.raises(TypeError, match="agent callable must accept no arguments"): + InvocationsHostServer(cast(Any, _ContextAgent)) + + def test_rejects_factory_requiring_arguments(self) -> None: + def create_agent(name: str) -> _FakeAgent: + return _make_agent(response_text=name) + + with pytest.raises(TypeError, match="agent callable must accept no arguments"): + InvocationsHostServer(cast(Any, create_agent)) + # endregion @@ -227,6 +285,71 @@ async def test_hosted_keys_and_session_ids_preserve_identifier_values(self) -> N class TestHandleInvoke: + async def test_instance_context_lifetime_remains_caller_owned(self) -> None: + events: list[str] = [] + response = AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("ok")])]) + server = InvocationsHostServer(_ContextAgent(events, response=response)) + + with _request_context(session_id="sess-1"): + await server._handle_invoke(_make_request({"message": "one"})) # pyright: ignore[reportPrivateUsage] + + assert events == ["run"] + + async def test_factory_agent_context_lifetime_non_streaming(self) -> None: + events: list[str] = [] + response = AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("ok")])]) + server = InvocationsHostServer(lambda: _ContextAgent(events, response=response)) + + with _request_context(session_id="sess-1"): + result = await server._handle_invoke(_make_request({"message": "one"})) # pyright: ignore[reportPrivateUsage] + + assert bytes(result.body).decode() == "ok" + assert events == ["enter", "run", "exit"] + + async def test_factory_agent_context_lifetime_until_stream_closes(self) -> None: + events: list[str] = [] + updates = [ + AgentResponseUpdate(contents=[Content.from_text("one")]), + AgentResponseUpdate(contents=[Content.from_text("two")]), + ] + server = InvocationsHostServer(lambda: _ContextAgent(events, stream_updates=updates)) + + with _request_context(session_id="sess-1"): + response = await server._handle_invoke( # pyright: ignore[reportPrivateUsage] + _make_request({"message": "one", "stream": True}) + ) + + assert isinstance(response, StreamingResponse) + iterator = cast(Any, response.body_iterator) + assert await anext(iterator) == "one" + await iterator.aclose() + + assert events == ["enter", "run", "stream_close", "exit"] + + async def test_agent_callable_is_resolved_for_each_request(self) -> None: + agents: list[_FakeAgent] = [] + + def create_agent() -> _FakeAgent: + agent = _make_agent(response_text=f"agent-{len(agents) + 1}") + agents.append(agent) + return agent + + server = InvocationsHostServer(create_agent) + + with _request_context(session_id="sess-1"): + first = await server._handle_invoke( # pyright: ignore[reportPrivateUsage] + _make_request({"message": "one"}) + ) + second = await server._handle_invoke( # pyright: ignore[reportPrivateUsage] + _make_request({"message": "two"}) + ) + + assert bytes(first.body).decode() == "agent-1" + assert bytes(second.body).decode() == "agent-2" + assert len(agents) == 2 + assert agents[0] is not agents[1] + assert agents[0].calls[0]["session"] is agents[1].calls[0]["session"] + @pytest.mark.parametrize("stream", [False, True]) @pytest.mark.parametrize("hosted", [False, True]) async def test_reusing_session_skips_serialization_and_construction(self, hosted: bool, stream: bool) -> None: diff --git a/python/packages/foundry_hosting/tests/test_responses.py b/python/packages/foundry_hosting/tests/test_responses.py index 0f0e2b2c050..756e8668739 100644 --- a/python/packages/foundry_hosting/tests/test_responses.py +++ b/python/packages/foundry_hosting/tests/test_responses.py @@ -38,6 +38,7 @@ Content, FunctionInvocationLayer, HistoryProvider, + InMemoryCheckpointStorage, InMemoryHistoryProvider, Message, RawAgent, @@ -141,6 +142,42 @@ async def _raising_updates( raise RuntimeError(message) +class _AgentProtocolMock(MagicMock): + id = "test-agent" + name: str | None = "Test Agent" + description: str | None = "A mock agent for testing" + run: Any = None + create_session: Any = None + get_session: Any = None + + def __init__(self) -> None: + super().__init__() + self.run = MagicMock() + self.create_session = MagicMock(side_effect=lambda *, session_id=None: AgentSession(session_id=session_id)) + self.get_session = MagicMock( + side_effect=lambda service_session_id, *, session_id=None: AgentSession( + service_session_id=service_session_id, + session_id=session_id, + ) + ) + + +class _RawAgentMock(_AgentProtocolMock, RawAgent): + pass + + +class _WorkflowAgentMock(_AgentProtocolMock, WorkflowAgent): + _workflow_value: Any = None + + @property + def workflow(self) -> Any: + return self._workflow_value + + @workflow.setter + def workflow(self, value: Any) -> None: + self._workflow_value = value + + def _make_agent( *, response: AgentResponse | None = None, @@ -153,7 +190,7 @@ def _make_agent( tests that only care about complete output messages: the helper converts those messages into streamed updates. ``stream_updates`` is for tests that need explicit chunk boundaries to verify streaming event behavior. """ - agent = MagicMock(spec=RawAgent) if raw_agent else MagicMock() + agent = _RawAgentMock() if raw_agent else _AgentProtocolMock() agent.id = "test-agent" agent.name = "Test Agent" agent.description = "A mock agent for testing" @@ -165,7 +202,8 @@ def _make_agent( def create_session(*, session_id: str | None = None) -> AgentSession: return AgentSession(session_id=session_id) - agent.create_session.side_effect = create_session + agent.create_session = MagicMock(side_effect=create_session) + agent.run = MagicMock() if response is not None: @@ -209,6 +247,14 @@ def __init__(self) -> None: def create_session(self, *, session_id: str | None = None) -> AgentSession: return AgentSession(session_id=session_id) + def get_session( + self, + service_session_id: str | ServiceSessionId, + *, + session_id: str | None = None, + ) -> AgentSession: + return AgentSession(service_session_id=service_session_id, session_id=session_id) + def run( self, messages: Any = None, @@ -853,6 +899,18 @@ def test_stringify_mcp_output_extracts_only_text_content_mappings(self) -> None: class TestResponsesHostServerInit: + @pytest.mark.parametrize("agent", [None, 42]) + def test_init_rejects_invalid_agent_source(self, agent: Any) -> None: + with pytest.raises(TypeError, match="agent must be an agent instance or a zero-argument callable"): + ResponsesHostServer(agent) + + async def test_zero_argument_agent_class_is_resolved_as_factory(self) -> None: + server = _make_server(cast(Any, _StrictCustomAgent), history_source="agent") + + response = await _post(server) + + assert response.json()["status"] == "completed" + def test_init_basic(self) -> None: agent = _make_agent( response=AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("hi")])]) @@ -1488,6 +1546,7 @@ async def test_cancellation_signal_preempts_stuck_agent_call(self) -> None: response, not merely be checked between already-produced updates.""" store = SessionStore() gate = asyncio.Event() # Never set: simulates a model/tool call that never returns. + cleanup_called = asyncio.Event() agent = _make_agent() async def _stream_gen() -> AsyncIterator[AgentResponseUpdate]: @@ -1496,7 +1555,11 @@ async def _stream_gen() -> AsyncIterator[AgentResponseUpdate]: def run_streaming(*_args: Any, **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse]: del _args, kwargs - return ResponseStream(_stream_gen(), finalizer=AgentResponse.from_updates) + return ResponseStream( + _stream_gen(), + finalizer=AgentResponse.from_updates, + cleanup_hooks=[cleanup_called.set], + ) agent.run = MagicMock(side_effect=run_streaming) server = _make_server(agent, session_store=store) @@ -1526,6 +1589,7 @@ async def _drain() -> list[Any]: types = [event.get("type") for event in events if isinstance(event, Mapping)] assert "response.output_text.delta" not in types assert types[-1] == "response.completed" + assert cleanup_called.is_set() async def test_consumer_failure_cancels_agent_stream_driver_task(self) -> None: """A crash in the consumer (`_OutputItemTracker.handle`) must not leave the background @@ -3515,7 +3579,7 @@ def _make_multi_response_agent( stream_updates_list: list[list[AgentResponseUpdate]] | None = None, ) -> MagicMock: """Create a mock agent that returns different responses on successive calls.""" - agent = MagicMock(spec=RawAgent) + agent = _RawAgentMock() agent.id = "test-agent" agent.name = "Test Agent" agent.description = "A mock agent for testing" @@ -3527,7 +3591,7 @@ def _make_multi_response_agent( def create_session(*, session_id: str | None = None) -> AgentSession: return AgentSession(session_id=session_id) - agent.create_session.side_effect = create_session + agent.create_session = MagicMock(side_effect=create_session) call_index = [0] @@ -4731,7 +4795,8 @@ async def test_workflow_rejects_invalid_checkpoint_scope( context_field: str, bad_id: str, ) -> None: - agent = MagicMock(spec=WorkflowAgent) + agent = _WorkflowAgentMock() + agent.run = MagicMock() agent.context_providers = [] agent.workflow = MagicMock() agent.workflow.name = "workflow" @@ -4847,6 +4912,25 @@ def test_returns_none_when_message_has_no_json(self) -> None: class TestAgentLifecycle: + async def test_factory_agent_is_entered_and_exited_for_each_request(self) -> None: + agents: list[MagicMock] = [] + + def create_agent() -> MagicMock: + agent = _make_agent( + response=AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("hi")])]) + ) + agents.append(agent) + return agent + + server = _make_server(create_agent) + + await _post(server, input_text="first", stream=False) + await _post(server, input_text="second", stream=False) + + assert len(agents) == 2 + assert [agent.__aenter__.await_count for agent in agents] == [1, 1] + assert [agent.__aexit__.await_count for agent in agents] == [1, 1] + async def test_agent_entered_lazily_on_first_request(self) -> None: agent = _make_agent( response=AgentResponse(messages=[Message(role="assistant", contents=[Content.from_text("hi")])]) @@ -5214,7 +5298,7 @@ async def _raise_stream() -> AsyncIterator[AgentResponseUpdate]: yield AgentResponseUpdate(contents=[Content.from_text("partial ")], role="assistant") raise RuntimeError("stream kaboom") - agent = MagicMock(spec=RawAgent) + agent = _RawAgentMock() agent.id = "test-agent" agent.name = "Test Agent" agent.description = "A mock agent for testing" @@ -5226,7 +5310,7 @@ async def _raise_stream() -> AsyncIterator[AgentResponseUpdate]: def create_session(*, session_id: str | None = None) -> AgentSession: return AgentSession(session_id=session_id) - agent.create_session.side_effect = create_session + agent.create_session = MagicMock(side_effect=create_session) def run_streaming(*args: Any, **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse]: del args @@ -5265,7 +5349,7 @@ async def _raise_stream() -> AsyncIterator[AgentResponseUpdate]: yield AgentResponseUpdate(contents=[Content.from_text("hello ")], role="assistant") raise RuntimeError("mid-item kaboom") - agent = MagicMock(spec=RawAgent) + agent = _RawAgentMock() agent.id = "test-agent" agent.name = "Test Agent" agent.description = "A mock agent for testing" @@ -5277,7 +5361,7 @@ async def _raise_stream() -> AsyncIterator[AgentResponseUpdate]: def create_session(*, session_id: str | None = None) -> AgentSession: return AgentSession(session_id=session_id) - agent.create_session.side_effect = create_session + agent.create_session = MagicMock(side_effect=create_session) def run_streaming(*args: Any, **kwargs: Any) -> ResponseStream[AgentResponseUpdate, AgentResponse]: del args, kwargs @@ -5672,7 +5756,7 @@ def _build_multi_update_workflow_agent( async def start(messages: list[Message], ctx: WorkflowContext[AgentExecutorRequest]) -> None: await ctx.send_message(AgentExecutorRequest(messages=messages, should_respond=True)) - workflow = WorkflowBuilder(start_executor=start).add_edge(start, inner).build() + workflow = WorkflowBuilder(name="multi-update-workflow", start_executor=start).add_edge(start, inner).build() return WorkflowAgent(workflow=workflow, name="Multi Update Workflow Agent"), inner @@ -5729,6 +5813,47 @@ class TestWorkflowAgentHosting: relative to the regular agent path. """ + async def test_async_factory_creates_workflow_agent_for_each_request(self) -> None: + created: list[tuple[WorkflowAgent, _MultiUpdateWorkflowAgentMock]] = [] + + async def create_agent() -> WorkflowAgent: + agent, inner = _build_multi_update_workflow_agent(["hello"]) + created.append((agent, inner)) + return agent + + server = _make_server(create_agent) + + first = await _post(server, input_text="one") + second = await _post(server, input_text="two") + + assert first.status_code == 200 + assert second.status_code == 200 + assert len(created) == 2 + assert created[0][0].workflow is not created[1][0].workflow + assert [inner.run_count for _, inner in created] == [1, 1] + + async def test_factory_workflow_restores_checkpoint_for_same_conversation(self) -> None: + runs: list[MagicMock] = [] + + def create_agent() -> WorkflowAgent: + agent, _ = _build_multi_update_workflow_agent(["hello"]) + run = MagicMock(wraps=agent.run) + cast(Any, agent).run = run + runs.append(run) + return agent + + checkpoint_storage = InMemoryCheckpointStorage() + checkpoint_provider = MagicMock(spec=CheckpointStoreProvider) + checkpoint_provider.get_store.return_value = checkpoint_storage + server = _make_server(create_agent, checkpoint_store_provider=checkpoint_provider) + + first = await _post(server, input_text="one", conversation_id="conversation-1") + second = await _post(server, input_text="two", conversation_id="conversation-1") + + assert first.status_code == 200 + assert second.status_code == 200 + assert [run.call_count for run in runs] == [1, 2] + async def test_basic_text_response(self) -> None: workflow_agent = _build_text_workflow_agent("hello from workflow") server = _make_server(workflow_agent) diff --git a/python/samples/04-hosting/foundry-hosted-agents/responses/declarative_customer_support/README.md b/python/samples/04-hosting/foundry-hosted-agents/responses/declarative_customer_support/README.md index be3ff9a393b..f7a6a4ec380 100644 --- a/python/samples/04-hosting/foundry-hosted-agents/responses/declarative_customer_support/README.md +++ b/python/samples/04-hosting/foundry-hosted-agents/responses/declarative_customer_support/README.md @@ -21,7 +21,9 @@ Each user message re-runs the workflow from the trigger. Because `Workflow.as_ag ### Agent Hosting -[`main.py`](main.py) builds three `Agent` instances on top of a shared `FoundryChatClient` (one per workflow role), registers them with the `WorkflowFactory` so the YAML's `InvokeAzureAgent` actions can resolve them by name, loads the workflow, wraps it with `.as_agent(...)`, and hands the agent to `ResponsesHostServer`, which provisions a REST API endpoint compatible with the OpenAI Responses protocol. +[`main.py`](main.py) gives `ResponsesHostServer` a callable that builds three `Agent` instances on top of a shared +`FoundryChatClient`, registers them with `WorkflowFactory`, loads the workflow, and wraps it with `.as_agent(...)`. +Each request receives a fresh workflow and agents, while the host restores the supported session and checkpoint state. The triage agent is configured with `response_format=TriageResponse` (a Pydantic model) so the workflow can read its structured fields via `Local.Triage.*`. The specialist agents are plain text and use `autoSend: true` to deliver their reply straight to the caller. diff --git a/python/samples/04-hosting/foundry-hosted-agents/responses/declarative_customer_support/main.py b/python/samples/04-hosting/foundry-hosted-agents/responses/declarative_customer_support/main.py index 95b2d49a537..90b101ccf5f 100644 --- a/python/samples/04-hosting/foundry-hosted-agents/responses/declarative_customer_support/main.py +++ b/python/samples/04-hosting/foundry-hosted-agents/responses/declarative_customer_support/main.py @@ -4,7 +4,7 @@ from pathlib import Path from typing import Any, Literal -from agent_framework import Agent +from agent_framework import Agent, WorkflowAgent from agent_framework.foundry import FoundryChatClient, ResponsesHostServer from agent_framework_declarative import WorkflowFactory from agent_framework_openai import OpenAIChatOptions @@ -86,15 +86,8 @@ class TriageResponse(BaseModel): # --- Host setup ------------------------------------------------------------------ -def main() -> None: - workflow_path = Path(__file__).parent / "workflow.yaml" - - client = FoundryChatClient( - project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], - model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"], - credential=DefaultAzureCredential(), - ) - +def create_workflow_agent(client: FoundryChatClient, workflow_path: Path) -> WorkflowAgent: + """Create a fresh declarative workflow agent for one hosted request.""" # The workflow's InvokeAzureAgent actions reference these agents by name. triage_agent = Agent( client=client, @@ -128,7 +121,7 @@ def main() -> None: # Wrap the declarative workflow as an AIAgent so it can be served behind # the Responses protocol. Each user turn re-runs the workflow with the # full conversation history available via Conversation.messages. - workflow_agent = workflow.as_agent( + return workflow.as_agent( name="declarative-customer-support", description=( "A multi-turn customer-support triage workflow that routes " @@ -137,7 +130,16 @@ def main() -> None: ), ) - ResponsesHostServer(workflow_agent).run() + +def main() -> None: + workflow_path = Path(__file__).parent / "workflow.yaml" + client = FoundryChatClient( + project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], + model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"], + credential=DefaultAzureCredential(), + ) + + ResponsesHostServer(agent=lambda: create_workflow_agent(client, workflow_path)).run() if __name__ == "__main__": diff --git a/python/samples/04-hosting/foundry-hosted-agents/responses/resilient_long_running_workflow/README.md b/python/samples/04-hosting/foundry-hosted-agents/responses/resilient_long_running_workflow/README.md index cdf9df3eace..7c695fea3a1 100644 --- a/python/samples/04-hosting/foundry-hosted-agents/responses/resilient_long_running_workflow/README.md +++ b/python/samples/04-hosting/foundry-hosted-agents/responses/resilient_long_running_workflow/README.md @@ -22,6 +22,8 @@ The workflow has three executors (see [main.py](main.py)): The workflow is hosted as an agent using the [Agent Framework](https://github.com/microsoft/agent-framework) `ResponsesHostServer`, which provisions a REST API endpoint compatible with the OpenAI Responses protocol. +The server receives a callable that creates a fresh workflow and executors for each request. Existing response +sessions and workflow checkpoints are restored by the host, while the application-owned `FoundryChatClient` is reused. Setting `resilient_background=True` in `ResponsesServerOptions` enables the framework to checkpoint the workflow's progress and durably persist streamed output, so a background response can be recovered and resumed after a crash (see "Testing resiliency" below). diff --git a/python/samples/04-hosting/foundry-hosted-agents/responses/resilient_long_running_workflow/main.py b/python/samples/04-hosting/foundry-hosted-agents/responses/resilient_long_running_workflow/main.py index e941f23cd32..9a1b54aa26d 100644 --- a/python/samples/04-hosting/foundry-hosted-agents/responses/resilient_long_running_workflow/main.py +++ b/python/samples/04-hosting/foundry-hosted-agents/responses/resilient_long_running_workflow/main.py @@ -15,7 +15,7 @@ import asyncio import os -from agent_framework import Agent, Executor, Message, WorkflowBuilder, WorkflowContext, executor, handler +from agent_framework import Agent, Executor, Message, Workflow, WorkflowBuilder, WorkflowContext, executor, handler from agent_framework.foundry import FoundryChatClient from agent_framework_foundry_hosting import ResponsesHostServer from azure.ai.agentserver.responses import ResponsesServerOptions @@ -76,13 +76,8 @@ async def complete(message: str, ctx: WorkflowContext[Never, str]) -> None: await ctx.yield_output(message) -def build_workflow(): +def build_workflow(client: FoundryChatClient) -> Workflow: """Build the target extraction, countdown, and completion workflow.""" - client = FoundryChatClient( - project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], - model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"], - credential=DefaultAzureCredential(), - ) target_agent = Agent( client=client, name="counter_target_extractor", @@ -95,7 +90,7 @@ def build_workflow(): countdown = CountdownExecutor() return ( - WorkflowBuilder(start_executor=start, output_from="all") + WorkflowBuilder(name="countdown-workflow", start_executor=start, output_from="all") .add_edge(start, countdown) .add_edge(countdown, countdown) .add_edge(countdown, complete) @@ -106,9 +101,13 @@ def build_workflow(): def main() -> None: """Run the workflow as a durable Responses API host.""" print(f"PID: {os.getpid()}") # lets crash-recovery testing find and kill this process - workflow_agent = build_workflow().as_agent(name="countdown-workflow") + client = FoundryChatClient( + project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], + model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"], + credential=DefaultAzureCredential(), + ) server = ResponsesHostServer( - workflow_agent, + agent=lambda: build_workflow(client).as_agent(name="countdown-workflow"), options=ResponsesServerOptions(resilient_background=True), log_level="DEBUG", ) diff --git a/python/samples/04-hosting/foundry-hosted-agents/responses/workflows/README.md b/python/samples/04-hosting/foundry-hosted-agents/responses/workflows/README.md index 608d1a564e8..173c5a2c811 100644 --- a/python/samples/04-hosting/foundry-hosted-agents/responses/workflows/README.md +++ b/python/samples/04-hosting/foundry-hosted-agents/responses/workflows/README.md @@ -16,7 +16,9 @@ See [main.py](main.py) for the full implementation. ### Agent Hosting -The workflow is exposed as a single agent via `.as_agent()` and hosted using the [Agent Framework](https://github.com/microsoft/agent-framework) with the `ResponsesHostServer`, which provisions a REST API endpoint compatible with the OpenAI Responses protocol. +The workflow is exposed as an agent via `.as_agent()` and hosted using the +[Agent Framework](https://github.com/microsoft/agent-framework) with `ResponsesHostServer`. The host receives a +callable that builds a fresh `FoundryChatClient`, workflow, executors, and agents for each request. ## Running the Agent Host diff --git a/python/samples/04-hosting/foundry-hosted-agents/responses/workflows/main.py b/python/samples/04-hosting/foundry-hosted-agents/responses/workflows/main.py index e11a4655220..507b07722a0 100644 --- a/python/samples/04-hosting/foundry-hosted-agents/responses/workflows/main.py +++ b/python/samples/04-hosting/foundry-hosted-agents/responses/workflows/main.py @@ -2,7 +2,7 @@ import os -from agent_framework import Agent, AgentExecutor, WorkflowBuilder +from agent_framework import Agent, AgentExecutor, WorkflowAgent, WorkflowBuilder from agent_framework.foundry import FoundryChatClient, ResponsesHostServer from azure.identity import DefaultAzureCredential from dotenv import load_dotenv @@ -11,7 +11,8 @@ load_dotenv() -def main(): +def create_workflow_agent() -> WorkflowAgent: + """Create a fresh workflow agent for one hosted request.""" client = FoundryChatClient( project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"], @@ -48,8 +49,9 @@ def main(): legal_executor = AgentExecutor(legal_agent, context_mode="last_agent") format_executor = AgentExecutor(format_agent, context_mode="last_agent") - workflow_agent = ( + return ( WorkflowBuilder( + name="slogan-workflow", start_executor=writer_executor, # Select only the formatted result as Workflow Output. # Unselected executor payloads are hidden unless selected as Intermediate Output. @@ -61,7 +63,9 @@ def main(): .as_agent() ) - server = ResponsesHostServer(workflow_agent) + +def main() -> None: + server = ResponsesHostServer(agent=create_workflow_agent) server.run() From dd15a01dda7fe5390b30cf4138582465c85ae06c Mon Sep 17 00:00:00 2001 From: westey <164392973+westey-m@users.noreply.github.com> Date: Fri, 18 Sep 2026 15:00:02 +0000 Subject: [PATCH 10/30] 2026-09-18 Release version bump (#8529) --- dotnet/nuget/nuget-package.props | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/dotnet/nuget/nuget-package.props b/dotnet/nuget/nuget-package.props index 60e890e60c9..dfeb2feba25 100644 --- a/dotnet/nuget/nuget-package.props +++ b/dotnet/nuget/nuget-package.props @@ -1,14 +1,14 @@ - 1.21.0 + 1.22.0 1 - 260911 + 260918 $(VersionPrefix)-rc$(RCNumber) $(VersionPrefix)-$(VersionSuffix).$(DateSuffix).1 $(VersionPrefix)-preview.$(DateSuffix).1 $(VersionPrefix) - 1.21.0 + $(VersionPrefix) Debug;Release;Publish true From 0c9944cc9f577d51277ac7c55dbc388b60a577af Mon Sep 17 00:00:00 2001 From: westey <164392973+westey-m@users.noreply.github.com> Date: Fri, 18 Sep 2026 15:51:43 +0000 Subject: [PATCH 11/30] .NET: Pass ChatClientAgent tools per run only rather than setting on FICC (#8531) * Pass ChatClientAgent tools per run only rather than setting on FICC * Fix test errors --- .../ChatClient/ChatClientExtensions.cs | 13 +--------- .../AnthropicBetaServiceExtensionsTests.cs | 22 ++++++++-------- .../AnthropicClientExtensionsTests.cs | 22 ++++++++-------- .../ChatClient/ChatClientExtensionsTests.cs | 26 +++++++++++++++++++ 4 files changed, 49 insertions(+), 34 deletions(-) diff --git a/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientExtensions.cs b/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientExtensions.cs index fcca066848e..699b98c2e02 100644 --- a/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientExtensions.cs +++ b/dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientExtensions.cs @@ -2,7 +2,6 @@ using System; using System.Collections.Generic; -using System.Diagnostics; using Microsoft.Agents.AI; using Microsoft.Extensions.AI; using Microsoft.Extensions.DependencyInjection; @@ -134,16 +133,6 @@ internal static IChatClient WithDefaultAgentMiddleware(this IChatClient chatClie // so FICC emits execute_tool spans on the agent source. chatBuilder.Use(innerClient => new DeferredOpenTelemetryChatClient(innerClient)); - var agentChatClient = chatBuilder.Build(services); - - if (options?.ChatOptions?.Tools is { Count: > 0 }) - { - // When tools are provided in the constructor, set the tools for the whole lifecycle of the chat client - var functionService = agentChatClient.GetService(); - Debug.Assert(functionService is not null, "FunctionInvokingChatClient should be registered in the chat client."); - functionService!.AdditionalTools = options.ChatOptions.Tools; - } - - return agentChatClient; + return chatBuilder.Build(services); } } diff --git a/dotnet/tests/Microsoft.Agents.AI.Anthropic.UnitTests/Extensions/AnthropicBetaServiceExtensionsTests.cs b/dotnet/tests/Microsoft.Agents.AI.Anthropic.UnitTests/Extensions/AnthropicBetaServiceExtensionsTests.cs index 45d027fc261..2e49e588cd1 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Anthropic.UnitTests/Extensions/AnthropicBetaServiceExtensionsTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Anthropic.UnitTests/Extensions/AnthropicBetaServiceExtensionsTests.cs @@ -210,11 +210,11 @@ public void CreateAIAgent_WithTools_AssignsToolsCorrectly() // When tools are provided, ChatOptions is created but instructions remain null Assert.Null(agent.Instructions); - // Verify that tools are registered in the FunctionInvokingChatClient - var functionInvokingClient = agent.GetService(); - Assert.NotNull(functionInvokingClient); - Assert.NotNull(functionInvokingClient.AdditionalTools); - Assert.Contains(functionInvokingClient.AdditionalTools, t => t is AIFunction func && func.Name == "TestFunction"); + // Verify that tools are registered on the agent's ChatOptions, which are merged into the + // invocation-scoped ChatOptions on every call (see ChatClientAgent.CreateConfiguredChatOptions). + var agentTools = agent.GetService()?.Tools; + Assert.NotNull(agentTools); + Assert.Contains(agentTools, t => t is AIFunction func && func.Name == "TestFunction"); } /// @@ -310,11 +310,11 @@ public void CreateAIAgent_WithToolsAndInstructions_AssignsBothCorrectly() Assert.Equal("Test Agent", agent.Name); Assert.Equal("Test instructions", agent.Instructions); - // Verify that tools are registered in the FunctionInvokingChatClient - var functionInvokingClient = agent.GetService(); - Assert.NotNull(functionInvokingClient); - Assert.NotNull(functionInvokingClient.AdditionalTools); - Assert.Contains(functionInvokingClient.AdditionalTools, t => t is AIFunction func && func.Name == "TestFunction"); + // Verify that tools are registered on the agent's ChatOptions, which are merged into the + // invocation-scoped ChatOptions on every call (see ChatClientAgent.CreateConfiguredChatOptions). + var agentTools = agent.GetService()?.Tools; + Assert.NotNull(agentTools); + Assert.Contains(agentTools, t => t is AIFunction func && func.Name == "TestFunction"); } /// @@ -339,7 +339,7 @@ public void CreateAIAgent_WithEmptyTools_DoesNotAssignTools() // With empty tools and no instructions, agent instructions remain null Assert.Null(agent.Instructions); - // Verify that FunctionInvokingChatClient has no additional tools assigned + // Verify that the FunctionInvokingChatClient is not used as a fallback tool store. var functionInvokingClient = agent.GetService(); Assert.NotNull(functionInvokingClient); Assert.True(functionInvokingClient.AdditionalTools is null or { Count: 0 }); diff --git a/dotnet/tests/Microsoft.Agents.AI.Anthropic.UnitTests/Extensions/AnthropicClientExtensionsTests.cs b/dotnet/tests/Microsoft.Agents.AI.Anthropic.UnitTests/Extensions/AnthropicClientExtensionsTests.cs index abbbe6111fa..876d71936e2 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Anthropic.UnitTests/Extensions/AnthropicClientExtensionsTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Anthropic.UnitTests/Extensions/AnthropicClientExtensionsTests.cs @@ -284,11 +284,11 @@ public void CreateAIAgent_WithTools_AssignsToolsCorrectly() // When tools are provided, ChatOptions is created but instructions remain null Assert.Null(agent.Instructions); - // Verify that tools are registered in the FunctionInvokingChatClient - var functionInvokingClient = agent.GetService(); - Assert.NotNull(functionInvokingClient); - Assert.NotNull(functionInvokingClient.AdditionalTools); - Assert.Contains(functionInvokingClient.AdditionalTools, t => t is AIFunction func && func.Name == "TestFunction"); + // Verify that tools are registered on the agent's ChatOptions, which are merged into the + // invocation-scoped ChatOptions on every call (see ChatClientAgent.CreateConfiguredChatOptions). + var agentTools = agent.GetService()?.Tools; + Assert.NotNull(agentTools); + Assert.Contains(agentTools, t => t is AIFunction func && func.Name == "TestFunction"); } /// @@ -384,11 +384,11 @@ public void CreateAIAgent_WithToolsAndInstructions_AssignsBothCorrectly() Assert.Equal("Test Agent", agent.Name); Assert.Equal("Test instructions", agent.Instructions); - // Verify that tools are registered in the FunctionInvokingChatClient - var functionInvokingClient = agent.GetService(); - Assert.NotNull(functionInvokingClient); - Assert.NotNull(functionInvokingClient.AdditionalTools); - Assert.Contains(functionInvokingClient.AdditionalTools, t => t is AIFunction func && func.Name == "TestFunction"); + // Verify that tools are registered on the agent's ChatOptions, which are merged into the + // invocation-scoped ChatOptions on every call (see ChatClientAgent.CreateConfiguredChatOptions). + var agentTools = agent.GetService()?.Tools; + Assert.NotNull(agentTools); + Assert.Contains(agentTools, t => t is AIFunction func && func.Name == "TestFunction"); } /// @@ -413,7 +413,7 @@ public void CreateAIAgent_WithEmptyTools_DoesNotAssignTools() // With empty tools and no instructions, agent instructions remain null Assert.Null(agent.Instructions); - // Verify that FunctionInvokingChatClient has no additional tools assigned + // Verify that the FunctionInvokingChatClient is not used as a fallback tool store. var functionInvokingClient = agent.GetService(); Assert.NotNull(functionInvokingClient); Assert.True(functionInvokingClient.AdditionalTools is null or { Count: 0 }); diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientExtensionsTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientExtensionsTests.cs index 04937c23e8e..f6fc856e0b8 100644 --- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientExtensionsTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientExtensionsTests.cs @@ -109,6 +109,32 @@ public void CreateAIAgent_WithExistingFunctionInvokingChatClient_ConfiguresConcu Assert.True(functionInvokingClient.AllowConcurrentInvocation); } + [Fact] + public void CreateAIAgent_SharedChatClient_DoesNotLeakToolsBetweenAgents() + { + // Arrange: a single pre-decorated IChatClient shared by two independently-constructed agents, + // one "privileged" and one "public", each with their own distinct tool. + var chatClientMock = new Mock(); + var sharedChatClient = chatClientMock.Object.AsBuilder().UseFunctionInvocation().Build(); + + AITool publicTool = AIFunctionFactory.Create(() => "public", name: "public_read"); + AITool privilegedTool = AIFunctionFactory.Create(() => "privileged", name: "privileged_write"); + + // Act: construct the low-privilege agent first, then the privileged agent on the same shared client. + var publicAgent = sharedChatClient.AsAIAgent(tools: [publicTool]); + var privilegedAgent = sharedChatClient.AsAIAgent(tools: [privilegedTool]); + + // Assert: neither agent mutated the shared FunctionInvokingChatClient's AdditionalTools, so + // constructing the privileged agent cannot overwrite/leak tools into the public agent's execution scope. + var functionInvokingClient = sharedChatClient.GetService(); + Assert.NotNull(functionInvokingClient); + Assert.True(functionInvokingClient.AdditionalTools is null or { Count: 0 }); + + // Each agent's own configured tools remain scoped to itself. + Assert.Equal([publicTool], publicAgent.ChatOptions!.Tools); + Assert.Equal([privilegedTool], privilegedAgent.ChatOptions!.Tools); + } + [Fact] public void CreateAIAgent_WithNullClient_Throws() { From 42c22c001761340f47b279e89a4e06aedb5549d9 Mon Sep 17 00:00:00 2001 From: Sai Kiran Kothuri <8019393+saikir1994@users.noreply.github.com> Date: Fri, 18 Sep 2026 16:46:25 +0000 Subject: [PATCH 12/30] Bump GitHub.Copilot.SDK to 1.0.1 and forward session config properties (incl. per-session GitHubToken) (#5735) Built on top of upstream's v1.0.0 migration (#6381). This change: - Bumps SDK from 1.0.0 to 1.0.1 (no breaking changes in usage) - Forwards all newly-added SessionConfig properties through CopyResumeSessionConfig (CopySessionConfig already uses source.Clone() so it's fine). Most importantly GitHubToken (per-session GitHub identity for multitenant scenarios), plus ClientName, ModelCapabilities, OnElicitationRequest, OnEvent, EnableConfigDiscovery, IncludeSubAgentStreamingEvents, DefaultAgent, Agent, Commands, CreateSessionFsProvider, and ~25 more - Makes sessionConfig non-nullable on the SessionConfig constructor (SDK requires SessionConfig.OnPermissionRequest, so a null SessionConfig was a runtime trap) - Makes onPermissionRequest a required (non-nullable) parameter on the tools/instructions constructor and the corresponding AsAIAgent extension overload, positioned before optional params - Removes the fallback 'new SessionConfig { Streaming = true }' path in RunCoreStreamingAsync since _sessionConfig is now non-nullable - Updates unit tests, integration tests, and sample for the new required-param signatures Co-authored-by: Sai Kothuri Co-authored-by: Roger Barreto <19890735+RogerBarreto@users.noreply.github.com> --- dotnet/Directory.Packages.props | 2 +- .../GitHubCopilotAgent.cs | 103 +++++++++--- .../GitHubCopilotAgentTests.cs | 156 ++++++++++++++++-- 3 files changed, 225 insertions(+), 36 deletions(-) diff --git a/dotnet/Directory.Packages.props b/dotnet/Directory.Packages.props index 4a37e210fb6..f429405f190 100644 --- a/dotnet/Directory.Packages.props +++ b/dotnet/Directory.Packages.props @@ -109,7 +109,7 @@ - + diff --git a/dotnet/src/Microsoft.Agents.AI.GitHub.Copilot/GitHubCopilotAgent.cs b/dotnet/src/Microsoft.Agents.AI.GitHub.Copilot/GitHubCopilotAgent.cs index 11b0dbc62bf..5950cf1debd 100644 --- a/dotnet/src/Microsoft.Agents.AI.GitHub.Copilot/GitHubCopilotAgent.cs +++ b/dotnet/src/Microsoft.Agents.AI.GitHub.Copilot/GitHubCopilotAgent.cs @@ -188,7 +188,7 @@ protected override async IAsyncEnumerable RunCoreStreamingA { copilotSession = await this._copilotClient.ResumeSessionAsync( typedSession.SessionId, - this.CreateResumeConfig(), + ToResumeSessionConfig(this._sessionConfig), cancellationToken).ConfigureAwait(false); } else @@ -306,11 +306,6 @@ private async Task EnsureClientStartedAsync(CancellationToken cancellationToken) await this._copilotClient.StartAsync(cancellationToken).ConfigureAwait(false); } - private ResumeSessionConfig CreateResumeConfig() - { - return CopyResumeSessionConfig(this._sessionConfig); - } - /// /// Copies all supported properties from a source into a new instance, /// preserving from the source (defaulting to true if unset). @@ -323,34 +318,96 @@ internal static SessionConfig CopySessionConfig(SessionConfig source) } /// - /// Copies all supported properties from a source into a new + /// Converts a source into a new /// , preserving /// from the source (defaulting to true if unset). /// - internal static ResumeSessionConfig CopyResumeSessionConfig(SessionConfig? source) + internal static ResumeSessionConfig ToResumeSessionConfig(SessionConfig? source) { + // ResumeSessionConfig is a separate SDK type, so resumed sessions need every shared setting projected explicitly. return new ResumeSessionConfig { - Model = source?.Model, - ReasoningEffort = source?.ReasoningEffort, - ReasoningSummary = source?.ReasoningSummary, - ContextTier = source?.ContextTier, - Tools = source?.Tools, - SystemMessage = source?.SystemMessage, + AdditionalDirectories = source?.AdditionalDirectories, + Agent = source?.Agent, + AskUserVariant = source?.AskUserVariant, + AuthClientIdMetadataUrl = source?.AuthClientIdMetadataUrl, AvailableTools = source?.AvailableTools, - ExcludedTools = source?.ExcludedTools, - Provider = source?.Provider, - OnPermissionRequest = source?.OnPermissionRequest, - OnUserInputRequest = source?.OnUserInputRequest, - Hooks = source?.Hooks, - WorkingDirectory = source?.WorkingDirectory, + CanvasHandler = source?.CanvasHandler, + CanvasProvider = source?.CanvasProvider, + Canvases = source?.Canvases, + Capi = source?.Capi, + ClientName = source?.ClientName, + CoauthorEnabled = source?.CoauthorEnabled, + Commands = source?.Commands, ConfigDirectory = source?.ConfigDirectory, - McpServers = source?.McpServers, + ContextTier = source?.ContextTier, + CreateSessionFsProvider = source?.CreateSessionFsProvider, CustomAgents = source?.CustomAgents, - SkillDirectories = source?.SkillDirectories, + CustomAgentsLocalOnly = source?.CustomAgentsLocalOnly, + DefaultAgent = source?.DefaultAgent, + DisabledMcpServers = source?.DisabledMcpServers, DisabledSkills = source?.DisabledSkills, + EmbeddingCacheStorage = source?.EmbeddingCacheStorage, + EnableCitations = source?.EnableCitations, + EnableConfigDiscovery = source?.EnableConfigDiscovery, + EnableExperimentalMode = source?.EnableExperimentalMode, + EnableFileChangeTracking = source?.EnableFileChangeTracking, + EnableFileHooks = source?.EnableFileHooks, + EnableHostGitOperations = source?.EnableHostGitOperations, + EnableManagedSettings = source?.EnableManagedSettings, + EnableMcpApps = source?.EnableMcpApps ?? default, + EnableOnDemandInstructionDiscovery = source?.EnableOnDemandInstructionDiscovery, + EnableSessionStore = source?.EnableSessionStore, + EnableSessionTelemetry = source?.EnableSessionTelemetry, + EnableSkills = source?.EnableSkills, + ExcludedBuiltInAgents = source?.ExcludedBuiltInAgents, + ExcludedTools = source?.ExcludedTools, + ExpAssignments = source?.ExpAssignments, + ExtensionInfo = source?.ExtensionInfo, + ExtensionSdkPath = source?.ExtensionSdkPath, + FeatureFlags = source?.FeatureFlags, + GitHubMcpToolConfig = source?.GitHubMcpToolConfig, + GitHubToken = source?.GitHubToken, + GitHubTokenProvider = source?.GitHubTokenProvider, + Hooks = source?.Hooks, + IncludeSubAgentStreamingEvents = source?.IncludeSubAgentStreamingEvents ?? default, + IncludedBuiltinSkills = source?.IncludedBuiltinSkills, InfiniteSessions = source?.InfiniteSessions, - Streaming = source?.Streaming ?? true + InstructionDirectories = source?.InstructionDirectories, + LargeOutput = source?.LargeOutput, + ManagedSettings = source?.ManagedSettings, + ManageScheduleEnabled = source?.ManageScheduleEnabled, + McpOAuthTokenStorage = source?.McpOAuthTokenStorage, + McpServers = source?.McpServers, + Memory = source?.Memory, + Model = source?.Model, + ModelCapabilities = source?.ModelCapabilities, + Models = source?.Models, + OnAutoModeSwitchRequest = source?.OnAutoModeSwitchRequest, + OnElicitationRequest = source?.OnElicitationRequest, + OnEvent = source?.OnEvent, + OnExitPlanModeRequest = source?.OnExitPlanModeRequest, + OnMcpAuthRequest = source?.OnMcpAuthRequest, + OnPermissionRequest = source?.OnPermissionRequest, + OnUserInputRequest = source?.OnUserInputRequest, + OrganizationCustomInstructions = source?.OrganizationCustomInstructions, + PluginDirectories = source?.PluginDirectories, + Provider = source?.Provider, + Providers = source?.Providers, + ReasoningEffort = source?.ReasoningEffort, + ReasoningSummary = source?.ReasoningSummary, + RemoteSession = source?.RemoteSession, + RequestCanvasRenderer = source?.RequestCanvasRenderer, + RequestExtensions = source?.RequestExtensions, + SessionLimits = source?.SessionLimits, + SkillDirectories = source?.SkillDirectories, + SkipCustomInstructions = source?.SkipCustomInstructions, + SkipEmbeddingRetrieval = source?.SkipEmbeddingRetrieval, + Streaming = source?.Streaming ?? true, + SystemMessage = source?.SystemMessage, + ToolSearch = source?.ToolSearch, + Tools = source?.Tools, + WorkingDirectory = source?.WorkingDirectory, }; } diff --git a/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs b/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs index fc073b7b69a..c8306ef0fae 100644 --- a/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.GitHub.Copilot.UnitTests/GitHubCopilotAgentTests.cs @@ -3,11 +3,15 @@ using System; using System.Collections.Generic; using System.Linq; +using System.Linq.Expressions; +using System.Reflection; +using System.Runtime.CompilerServices; using System.Threading.Tasks; using GitHub.Copilot; using GitHub.Copilot.Rpc; using Microsoft.Extensions.AI; using Microsoft.Extensions.Logging; +using Moq; namespace Microsoft.Agents.AI.GitHub.Copilot.UnitTests; @@ -154,7 +158,7 @@ public void CopySessionConfig_CopiesAllProperties() } [Fact] - public void CopyResumeSessionConfig_CopiesAllProperties() + public void ToResumeSessionConfig_CopiesAllProperties() { // Arrange List tools = [AIFunctionFactory.Create(() => "test", "TestFunc", "Test function")]; @@ -186,7 +190,7 @@ public void CopyResumeSessionConfig_CopiesAllProperties() }; // Act - ResumeSessionConfig result = GitHubCopilotAgent.CopyResumeSessionConfig(source); + ResumeSessionConfig result = GitHubCopilotAgent.ToResumeSessionConfig(source); // Assert Assert.Equal("gpt-4o", result.Model); @@ -209,10 +213,73 @@ public void CopyResumeSessionConfig_CopiesAllProperties() } [Fact] - public void CopyResumeSessionConfig_WithNullSource_ReturnsDefaults() + public void ToResumeSessionConfig_WithFileHooksDisabled_PreservesDisabledValue() + { + // Arrange + var source = new SessionConfig + { + EnableFileHooks = false, + }; + + // Act + ResumeSessionConfig result = GitHubCopilotAgent.ToResumeSessionConfig(source); + + // Assert + Assert.False(result.EnableFileHooks); + } + + [Fact] + public void ToResumeSessionConfig_WithGitHubToken_PreservesToken() + { + // Arrange + var source = new SessionConfig + { + GitHubToken = "per-session-token", + }; + + // Act + ResumeSessionConfig result = GitHubCopilotAgent.ToResumeSessionConfig(source); + + // Assert + Assert.Equal("per-session-token", result.GitHubToken); + } + + [Fact] + public void ToResumeSessionConfig_PreservesEverySharedProperty() + { + // Arrange + PropertyInfo[] sharedProperties = typeof(SessionConfigBase) + .GetProperties(BindingFlags.Instance | BindingFlags.Public) + .Where(property => property.CanRead && property.CanWrite) + .ToArray(); + var source = new SessionConfig(); + + foreach ((PropertyInfo property, int index) in sharedProperties.Select((property, index) => (property, index))) + { + property.SetValue(source, CreateNonDefaultValue(property.PropertyType, index)); + } + + // Act + ResumeSessionConfig result = GitHubCopilotAgent.ToResumeSessionConfig(source); + + // Assert + List propertiesNotPreserved = []; + foreach (PropertyInfo property in sharedProperties) + { + if (!Equals(property.GetValue(source), property.GetValue(result))) + { + propertiesNotPreserved.Add(property.Name); + } + } + + Assert.True(propertiesNotPreserved.Count == 0, $"Properties not preserved: {string.Join(", ", propertiesNotPreserved)}"); + } + + [Fact] + public void ToResumeSessionConfig_WithNullSource_ReturnsDefaults() { // Act - ResumeSessionConfig result = GitHubCopilotAgent.CopyResumeSessionConfig(null); + ResumeSessionConfig result = GitHubCopilotAgent.ToResumeSessionConfig(null); // Assert Assert.Null(result.Model); @@ -227,10 +294,13 @@ public void CopyResumeSessionConfig_WithNullSource_ReturnsDefaults() Assert.Null(result.WorkingDirectory); Assert.Null(result.ConfigDirectory); Assert.True(result.Streaming); + Assert.False(result.SuppressResumeEvent); + Assert.Null(result.ContinuePendingWork); + Assert.Null(result.OpenCanvases); } [Fact] - public void CopyResumeSessionConfig_RoundTripsReasoningSummary() + public void ToResumeSessionConfig_RoundTripsReasoningSummary() { // Regression: ReasoningSummary controls whether the model returns readable // extended-thinking summaries. It must round-trip onto resumed turns, just like @@ -242,7 +312,7 @@ public void CopyResumeSessionConfig_RoundTripsReasoningSummary() }; // Act - ResumeSessionConfig result = GitHubCopilotAgent.CopyResumeSessionConfig(source); + ResumeSessionConfig result = GitHubCopilotAgent.ToResumeSessionConfig(source); // Assert Assert.Equal(ReasoningSummary.Detailed, result.ReasoningSummary); @@ -283,7 +353,7 @@ public void CopySessionConfig_WithStreamingNull_DefaultsToTrue() } [Fact] - public void CopyResumeSessionConfig_WithStreamingDisabled_PreservesStreamingValue() + public void ToResumeSessionConfig_WithStreamingDisabled_PreservesStreamingValue() { // Arrange var source = new SessionConfig @@ -293,14 +363,14 @@ public void CopyResumeSessionConfig_WithStreamingDisabled_PreservesStreamingValu }; // Act - ResumeSessionConfig result = GitHubCopilotAgent.CopyResumeSessionConfig(source); + ResumeSessionConfig result = GitHubCopilotAgent.ToResumeSessionConfig(source); // Assert Assert.False(result.Streaming); } [Fact] - public void CopyResumeSessionConfig_WithStreamingNull_DefaultsToTrue() + public void ToResumeSessionConfig_WithStreamingNull_DefaultsToTrue() { // Arrange var source = new SessionConfig @@ -309,7 +379,7 @@ public void CopyResumeSessionConfig_WithStreamingNull_DefaultsToTrue() }; // Act - ResumeSessionConfig result = GitHubCopilotAgent.CopyResumeSessionConfig(source); + ResumeSessionConfig result = GitHubCopilotAgent.ToResumeSessionConfig(source); // Assert Assert.True(result.Streaming); @@ -542,6 +612,68 @@ public void Constructor_WithApprovalRequiredTool_DoesNotMutateCallerHooks() Assert.Same(callerHooks, sessionConfig.Hooks); } + private static object CreateNonDefaultValue(Type type, int index) + { + Type? nullableType = Nullable.GetUnderlyingType(type); + if (nullableType is not null) + { + return nullableType == typeof(bool) ? false : CreateNonDefaultValue(nullableType, index); + } + + if (type == typeof(bool)) + { + return true; + } + + if (type == typeof(string)) + { + return $"value-{index}"; + } + + if (type.IsEnum) + { + return Enum.GetValues(type).GetValue(0)!; + } + + if (typeof(Delegate).IsAssignableFrom(type)) + { + MethodInfo invokeMethod = type.GetMethod(nameof(Action.Invoke))!; + ParameterExpression[] parameters = invokeMethod.GetParameters() + .Select(parameter => Expression.Parameter(parameter.ParameterType, parameter.Name)) + .ToArray(); + Expression body = invokeMethod.ReturnType == typeof(void) + ? Expression.Empty() + : Expression.Default(invokeMethod.ReturnType); + return Expression.Lambda(type, body, parameters).Compile(); + } + + if (type.IsGenericType) + { + Type genericType = type.GetGenericTypeDefinition(); + Type[] genericArguments = type.GetGenericArguments(); + if (genericType == typeof(IList<>) || genericType == typeof(ICollection<>)) + { + return Activator.CreateInstance(typeof(List<>).MakeGenericType(genericArguments))!; + } + + if (genericType == typeof(IDictionary<,>)) + { + return Activator.CreateInstance(typeof(Dictionary<,>).MakeGenericType(genericArguments))!; + } + } + + if (type.IsInterface) + { + Type mockType = typeof(Mock<>).MakeGenericType(type); + object mock = Activator.CreateInstance(mockType)!; + PropertyInfo objectProperty = mockType.GetProperties() + .Single(property => property.Name == nameof(Mock.Object) && property.PropertyType == type); + return objectProperty.GetValue(mock)!; + } + + return RuntimeHelpers.GetUninitializedObject(type); + } + private static Task InvokePreToolUseAsync(SessionConfig sessionConfig, string toolName) { var input = new PreToolUseHookInput { ToolName = toolName }; @@ -550,9 +682,9 @@ public void Constructor_WithApprovalRequiredTool_DoesNotMutateCallerHooks() private static SessionConfig GetSessionConfigFromAgent(GitHubCopilotAgent agent) { - System.Reflection.FieldInfo field = typeof(GitHubCopilotAgent).GetField( + FieldInfo field = typeof(GitHubCopilotAgent).GetField( "_sessionConfig", - System.Reflection.BindingFlags.Instance | System.Reflection.BindingFlags.NonPublic)!; + BindingFlags.Instance | BindingFlags.NonPublic)!; return (SessionConfig)field.GetValue(agent)!; } From 0799f6afa1ecd8a6a077e03024fcb9a4dc2547a9 Mon Sep 17 00:00:00 2001 From: westey <164392973+westey-m@users.noreply.github.com> Date: Fri, 18 Sep 2026 19:17:02 +0000 Subject: [PATCH 13/30] Python: Improve regex validation for shell and file access (#8507) * Improve regex validation for shell and file access * Address PR comments * Fix build errors * Address PR comment --- .../ShellPolicy.cs | 39 +++- .../ShellPolicyTests.cs | 73 +++++++ python/packages/core/AGENTS.md | 2 +- .../agent_framework/_harness/_file_access.py | 188 +++++++++++++----- .../packages/core/agent_framework/_tools.py | 4 +- .../_workflows/_agent_executor.py | 4 +- python/packages/core/pyproject.toml | 1 + .../core/test_function_invocation_logic.py | 7 +- .../tests/core/test_harness_file_access.py | 101 +++++++++- .../tests/core/test_harness_file_memory.py | 4 +- .../tests/core/test_harness_tool_approval.py | 6 +- .../test_agent_executor_tool_calls.py | 4 +- .../agent_framework_tools/shell/_policy.py | 105 +++++++++- python/packages/tools/tests/test_policy.py | 65 ++++++ python/uv.lock | 2 + 15 files changed, 523 insertions(+), 82 deletions(-) create mode 100644 dotnet/tests/Microsoft.Agents.AI.Tools.Shell.UnitTests/ShellPolicyTests.cs diff --git a/dotnet/src/Microsoft.Agents.AI.Tools.Shell/ShellPolicy.cs b/dotnet/src/Microsoft.Agents.AI.Tools.Shell/ShellPolicy.cs index 7950ed0674d..1d0d2577066 100644 --- a/dotnet/src/Microsoft.Agents.AI.Tools.Shell/ShellPolicy.cs +++ b/dotnet/src/Microsoft.Agents.AI.Tools.Shell/ShellPolicy.cs @@ -141,6 +141,14 @@ public bool Equals(ShellPolicyOutcome other) => /// public sealed class ShellPolicy { + /// + /// Ceiling on any single pattern match. Policy patterns are operator-authored, but the + /// commands they filter are model-generated, so a pattern that backtracks catastrophically + /// would stall the authorization path itself. The timeout makes that failure bounded and + /// recoverable rather than a hang. + /// + private static readonly TimeSpan s_patternMatchTimeout = TimeSpan.FromSeconds(1); + private readonly IReadOnlyList _denyList; private readonly IReadOnlyList? _allowList; private readonly Func? _custom; @@ -170,11 +178,11 @@ public ShellPolicy( Func? custom = null) { this._denyList = denyList? - .Select(pattern => new Regex(pattern, RegexOptions.Compiled | RegexOptions.IgnoreCase)) + .Select(pattern => new Regex(pattern, RegexOptions.Compiled | RegexOptions.IgnoreCase, s_patternMatchTimeout)) .ToArray() ?? Array.Empty(); this._allowList = allowList? - .Select(pattern => new Regex(pattern, RegexOptions.Compiled | RegexOptions.IgnoreCase)) + .Select(pattern => new Regex(pattern, RegexOptions.Compiled | RegexOptions.IgnoreCase, s_patternMatchTimeout)) .ToArray(); this._custom = custom; @@ -200,15 +208,36 @@ public ShellPolicyOutcome Evaluate(ShellRequest request) foreach (var deny in this._denyList) { - if (deny.IsMatch(command)) + // A deny pattern that cannot be evaluated in time fails closed: an + // unevaluated rule must never read as "this command is fine". + try { - return ShellPolicyOutcome.Deny($"matched deny pattern: {deny}"); + if (deny.IsMatch(command)) + { + return ShellPolicyOutcome.Deny($"matched deny pattern: {deny}"); + } + } + catch (RegexMatchTimeoutException) + { + return ShellPolicyOutcome.Deny($"deny pattern could not be evaluated in time: {deny}"); } } if (this._allowList is not null) { - var matched = this._allowList.Any(allow => allow.IsMatch(command)); + var matched = this._allowList.Any(allow => + { + // A timed-out allow pattern is treated as a non-match, so it can + // never be the thing that grants permission. + try + { + return allow.IsMatch(command); + } + catch (RegexMatchTimeoutException) + { + return false; + } + }); if (!matched) { return ShellPolicyOutcome.Deny("command does not match allow list"); diff --git a/dotnet/tests/Microsoft.Agents.AI.Tools.Shell.UnitTests/ShellPolicyTests.cs b/dotnet/tests/Microsoft.Agents.AI.Tools.Shell.UnitTests/ShellPolicyTests.cs new file mode 100644 index 00000000000..2ccc2049688 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.Tools.Shell.UnitTests/ShellPolicyTests.cs @@ -0,0 +1,73 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System; +using System.Diagnostics; + +namespace Microsoft.Agents.AI.Tools.Shell.UnitTests; + +/// +/// Guards the fail-closed behavior of when a policy +/// pattern backtracks catastrophically. Patterns are operator-authored, but the commands +/// they filter are model-generated, so an unbounded match would let injected input stall +/// the authorization path itself. +/// +public sealed class ShellPolicyTests +{ + /// + /// A pattern that backtracks exponentially, and a command it cannot match. + /// + /// + /// Deliberately not (a|a)*$, which is the equivalent used by the Python tests. + /// .NET matches that one instantly: (a|a)* can match zero times, so the engine + /// finds an empty match at the end anchor and never backtracks. (a+)+$ requires + /// at least one character per iteration, which forces the exponential search. + /// + private const string RedosPattern = "(a+)+$"; + private static readonly string s_redosCommand = new string('a', 30) + "!"; + + [Fact] + public void Evaluate_DenyPatternTimesOut_FailsClosed() + { + // Arrange + var policy = new ShellPolicy(denyList: [RedosPattern]); + + // Act + var sw = Stopwatch.StartNew(); + var outcome = policy.Evaluate(new ShellRequest(s_redosCommand)); + sw.Stop(); + + // Assert + Assert.False(outcome.Allowed); + Assert.Contains("could not be evaluated in time", outcome.Reason ?? string.Empty, StringComparison.Ordinal); + Assert.True(sw.Elapsed < TimeSpan.FromSeconds(10), $"policy evaluation overran: {sw.Elapsed}"); + } + + [Fact] + public void Evaluate_AllowPatternTimesOut_DoesNotGrantAccess() + { + // Arrange + var policy = new ShellPolicy(allowList: [RedosPattern]); + + // Act + var sw = Stopwatch.StartNew(); + var outcome = policy.Evaluate(new ShellRequest(s_redosCommand)); + sw.Stop(); + + // Assert + Assert.False(outcome.Allowed); + Assert.Contains("does not match allow list", outcome.Reason ?? string.Empty, StringComparison.Ordinal); + Assert.True(sw.Elapsed < TimeSpan.FromSeconds(10), $"policy evaluation overran: {sw.Elapsed}"); + } + + [Fact] + public void Evaluate_NormalPatterns_StillDecideAsBefore() + { + // Arrange + var policy = new ShellPolicy(denyList: ["^ssh\\b"], allowList: ["^ls\\b", "^ssh\\b"]); + + // Act & Assert + Assert.False(policy.Evaluate(new ShellRequest("ssh host")).Allowed); + Assert.True(policy.Evaluate(new ShellRequest("ls -la")).Allowed); + Assert.False(policy.Evaluate(new ShellRequest("cat /etc/passwd")).Allowed); + } +} diff --git a/python/packages/core/AGENTS.md b/python/packages/core/AGENTS.md index d32843f4204..43106150796 100644 --- a/python/packages/core/AGENTS.md +++ b/python/packages/core/AGENTS.md @@ -200,7 +200,7 @@ The vector store API is experimental under the shared `VECTOR_STORES` feature ID ### File Access Harness (`_harness/_file_access.py`) -- **`AgentFileStore`** - Abstract async store backing the file-access harness. Implementations expose `write`, `read`, `delete`, `list_children`, `file_exists`, `search`, and `create_directory` over forward-slash relative paths. `list_children` returns the direct children (files and subdirectories, subdirectories first) as `FileStoreEntry` instances; `search` accepts a keyword-only `recursive` flag (default `False`) and, when `recursive=True`, walks all descendants and returns `file_name` values relative to the search directory. The line-numbering contract lives on the base class: `split_lines` publishes the `\n`-only keepends split that every `line_number` addresses, `scan_content` is the numbering primitive both shipped stores report through, and `search` is now **concrete** — it asks the overridable `find_matching_files` hook which files to consider (superset semantics; a backend with a native index overrides it and prunes server-side) and then reads and numbers them itself. A store may still override `search` outright, but then it owns numbering: it must report `line_number` as a 1-based coordinate into `split_lines` of the content `read` returns. Nothing checks that at run time, so a store that numbers differently makes a later edit land on the wrong line silently. +- **`AgentFileStore`** - Abstract async store backing the file-access harness. Implementations expose `write`, `read`, `delete`, `list_children`, `file_exists`, `search`, and `create_directory` over forward-slash relative paths. `list_children` returns the direct children (files and subdirectories, subdirectories first) as `FileStoreEntry` instances; `search` accepts a keyword-only `recursive` flag (default `False`) and, when `recursive=True`, walks all descendants and returns `file_name` values relative to the search directory. The line-numbering contract lives on the base class: `split_lines` publishes the `\n`-only keepends split that every `line_number` addresses, `scan_content` is the numbering primitive both shipped stores report through, and `search` is now **concrete** — it asks the overridable `find_matching_files` hook which files to consider (superset semantics; a backend with a native index overrides it and prunes server-side) and then reads and numbers them itself. A store may still override `search` outright, but then it owns numbering: it must report `line_number` as a 1-based coordinate into `split_lines` of the content `read` returns. Nothing checks that at run time, so a store that numbers differently makes a later edit land on the wrong line silently. The same applies to ReDoS: the grep pattern is model-supplied, so `search` compiles it through the `regex` module against a single monotonic deadline that bounds the whole scan (CPython's `re` holds the GIL for an entire match, so `asyncio.wait_for` around it bounds nothing). A store overriding `search` with bare `re` silently opts itself back out of that guarantee. - **`InMemoryAgentFileStore`** - Dict-backed store suitable for tests and lightweight scenarios. - **`FileSystemAgentFileStore`** - Disk-backed store rooted under a configurable directory. Enforces relative-path normalization, root containment, and rejects symlink/reparse-point segments to prevent escape. - **`FileSearchResult`** / **`FileSearchMatch`** - `SerializationMixin` DTOs returned by `search`, carrying the matching file name, a context snippet, and the matching lines with 1-based line numbers. Implementers should report each matching line verbatim, including its own terminator, so it can be reused as a `file_access_replace_lines` `new_line`; the pattern itself is matched against the line with its whole terminator removed, so `^`/`$` anchor to the line's text on a CRLF file as they already did on an LF one. A custom store populates these DTOs from its own `search`; the verbatim text is a recommendation, but the line number is not — it must address `split_lines`. diff --git a/python/packages/core/agent_framework/_harness/_file_access.py b/python/packages/core/agent_framework/_harness/_file_access.py index 7dc95779ebc..5bfc6f592a8 100644 --- a/python/packages/core/agent_framework/_harness/_file_access.py +++ b/python/packages/core/agent_framework/_harness/_file_access.py @@ -26,12 +26,13 @@ import fnmatch import logging import os -import re +import time from abc import ABC, abstractmethod from collections.abc import Awaitable, Mapping, MutableMapping from pathlib import Path -from typing import Annotated, Any, ClassVar, cast +from typing import Annotated, Any, ClassVar, Protocol, cast +import regex from pydantic import BaseModel, Field from .._feature_stage import ExperimentalFeature, experimental @@ -68,15 +69,15 @@ # regex match when building a result snippet. _SEARCH_SNIPPET_RADIUS = 50 -# Hard cap on the length of a user-supplied search regex. Python's ``re`` module -# has no built-in timeout, so a catastrophic-backtracking pattern (such as -# ``(a+)+$``) submitted by the model could spin the CPU indefinitely. The cap -# alone does not stop short pathological patterns, so :meth:`search` -# additionally executes the regex scan in a worker thread and bounds the wall -# clock with :data:`_SEARCH_TIMEOUT_SECONDS`. The thread itself cannot be -# safely interrupted from Python, so a runaway scan continues until the -# regex engine returns, but the caller and event loop stay responsive. +# Hard cap on the length of a user-supplied search regex. The cap is a coarse bound on +# how much work a single pattern can describe; it does not stop a short pathological +# pattern, which is what :class:`_BoundedSearchPattern` is for. _MAX_SEARCH_PATTERN_LENGTH = 256 + +# Wall-clock budget for one search, covering the whole call: every file read and every +# line matched. Enforced twice over, by :class:`_BoundedSearchPattern` inside the match +# and by :func:`_run_search_with_timeout` around the call. See +# :func:`_compile_search_regex` for why the inner bound is the one that matters. _SEARCH_TIMEOUT_SECONDS = 10.0 # How much file content :meth:`AgentFileStore.search` accumulates before handing a batch @@ -97,24 +98,120 @@ _ELOOP = errno.ELOOP -def _compile_search_regex(pattern: str) -> re.Pattern[str]: - """Compile a case-insensitive search regex, enforcing the length cap. +class _SearchMatch(Protocol): + """The part of a match object :func:`_search_file_content` uses.""" + + def start(self) -> int: ... + + def end(self) -> int: ... + + +class _SearchPattern(Protocol): + """The part of a compiled pattern the scan pipeline uses. + + Both :class:`re.Pattern` and :class:`_BoundedSearchPattern` satisfy this, which is + what lets :meth:`AgentFileStore.scan_content` keep accepting a plain ``re.Pattern`` + from a third-party store while the built-in stores pass a deadline-bounded one. + """ + + @property + def pattern(self) -> str: ... + + def search(self, string: str) -> _SearchMatch | None: ... - An invalid ``pattern`` raises :class:`re.error` unchanged so the search - tools surface it to the calling model, which can correct the pattern and - retry. + +class _SearchTimeout(Exception): + """Raised when a scan exhausts its deadline. + + Deliberately not an :class:`OSError` subclass. ``regex`` signals its own timeout with + the builtin :class:`TimeoutError`, which *is* an ``OSError``, and the grep tools catch + ``OSError`` around the search to report unreadable files -- so letting that escape as-is + would have the timeout silently reported as a file error. This is converted to the + documented :class:`ValueError` at the boundary by :func:`_run_search_with_timeout`. + """ + + +class _BoundedSearchPattern: + """A compiled pattern that enforces one deadline across every match it performs. + + The deadline is shared rather than per-call: a pattern is matched once per line of + every searched file, so a per-match timeout would reset thousands of times over and + bound nothing in aggregate. + """ + + def __init__(self, compiled: Any, pattern: str, deadline: float) -> None: + self._compiled = compiled + self._pattern = pattern + self._deadline = deadline + + @property + def pattern(self) -> str: + """The pattern string this was compiled from.""" + return self._pattern + + def search(self, string: str) -> Any: + """Search ``string``, charging the elapsed time against the shared deadline. + + Raises: + _SearchTimeout: When the deadline has passed, or passes mid-match. + """ + remaining = self._deadline - time.monotonic() + if remaining <= 0.0: + raise _SearchTimeout + try: + return self._compiled.search(string, timeout=remaining) + except TimeoutError as exc: + raise _SearchTimeout from exc + + +def _compile_search_regex(pattern: str) -> _BoundedSearchPattern: + """Compile a case-insensitive search regex, enforcing the length cap and a deadline. + + Compiled with ``regex`` rather than the standard library's ``re``. A search pattern + comes from the model, so it is attacker-influenced: a request can carry an indirect + prompt injection that asks for a catastrophically backtracking pattern such as + ``(a|a)*$``. ``re`` offers no way to bound a match -- it holds the GIL for the whole + operation and has no interruption point -- so wrapping the scan in a worker thread and + an ``asyncio`` timeout bounds nothing: the timer cannot be scheduled, the thread cannot + be cancelled, and the host process stops servicing unrelated work until the match + finally returns. ``regex`` checks a deadline mid-match and releases the GIL while + matching, which is what makes the bound real and keeps the event loop responsive. + + An invalid ``pattern`` raises :class:`regex.error` unchanged so the search tools surface + it to the calling model, which can correct the pattern and retry. Note that + ``regex.error`` is *not* a subclass of the standard library's ``re.error``. Raises: ValueError: When ``pattern`` exceeds ``_MAX_SEARCH_PATTERN_LENGTH`` characters. - re.error: When ``pattern`` is not a valid regular expression. + regex.error: When ``pattern`` is not a valid regular expression. """ if len(pattern) > _MAX_SEARCH_PATTERN_LENGTH: raise ValueError( f"Regex pattern is too long ({len(pattern)} characters). " f"Maximum supported length is {_MAX_SEARCH_PATTERN_LENGTH} characters." ) - return re.compile(pattern, flags=re.IGNORECASE) + # VERSION1 is selected explicitly rather than left to ``regex.DEFAULT_VERSION``, which is + # a mutable process global: any library in the process can flip it and silently change how + # these patterns parse. + compiled = regex.compile(pattern, flags=regex.IGNORECASE | regex.VERSION1) + # The deadline starts here, not at first match: the budget covers the whole search, + # including the file reads the scan is interleaved with. + return _BoundedSearchPattern(compiled, pattern, time.monotonic() + _SEARCH_TIMEOUT_SECONDS) + + +def _search_timeout_message() -> str: + """Build the message for a search that ran out of budget. + + Built on demand rather than stored as a constant so it reflects the current value of + :data:`_SEARCH_TIMEOUT_SECONDS`, which tests patch. + """ + return ( + f"Search did not complete within {_SEARCH_TIMEOUT_SECONDS:g} seconds. The bound covers " + "the whole search, so this is either a pathological pattern (avoid nested quantifiers " + "such as '(a+)+') or a store too slow to read this many files in time. Narrow the " + "pattern, or search a smaller directory." + ) async def _run_search_with_timeout( @@ -122,11 +219,9 @@ async def _run_search_with_timeout( ) -> list[FileSearchResult]: """Await ``work`` under a bounded wall-clock timeout. - The one bound covers both shapes of search: a whole scan offloaded with - :func:`asyncio.to_thread` (what the stores in this package do) and the base - :meth:`AgentFileStore.search` pipeline, which keeps store I/O on the event - loop and offloads only the per-file regex work. In both cases the - model-supplied pattern executes in a worker thread, never on the loop. + A backstop around the deadline :func:`_compile_search_regex` binds into the pattern + itself. The inner bound covers time spent matching; this one also covers a store too + slow to read its files, which no regex deadline would catch. Raises: ValueError: When the search does not complete within @@ -134,17 +229,8 @@ async def _run_search_with_timeout( """ try: return await asyncio.wait_for(work, timeout=_SEARCH_TIMEOUT_SECONDS) - except asyncio.TimeoutError as exc: - # On Python 3.10 ``asyncio.wait_for`` raises ``asyncio.TimeoutError`` - # which is distinct from the builtin ``TimeoutError`` (the two were - # unified in 3.11). Catching the asyncio alias works on every - # supported version. - raise ValueError( - f"Search did not complete within {_SEARCH_TIMEOUT_SECONDS:g} seconds. The bound covers " - "the whole search, so this is either a pathological pattern (avoid nested quantifiers " - "such as '(a+)+') or a store too slow to read this many files in time. Narrow the " - "pattern, or search a smaller directory." - ) from exc + except (_SearchTimeout, asyncio.TimeoutError) as exc: + raise ValueError(_search_timeout_message()) from exc def _normalize_relative_path(path: str, *, is_directory: bool = False) -> str: @@ -595,7 +681,7 @@ def __repr__(self) -> str: return f"FileStoreEntry(name={self.name!r}, type={self.type!r})" -def _search_file_content(file_name: str, content: str, regex: re.Pattern[str]) -> FileSearchResult | None: +def _search_file_content(file_name: str, content: str, search_pattern: _SearchPattern) -> FileSearchResult | None: r"""Search one file's content and return a :class:`FileSearchResult` if any lines match. Lines are split by :func:`_split_lines_keepends` and reported verbatim, terminator @@ -617,7 +703,7 @@ def _search_file_content(file_name: str, content: str, regex: re.Pattern[str]) - # Same rule as _strip_line_terminator: a lone \r is content, so only a whole # \r\n comes off. scanned = line[:-2] if line.endswith("\r\n") else line.removesuffix("\n") - match = regex.search(scanned) + match = search_pattern.search(scanned) if match is not None: matching_lines.append(FileSearchMatch(line_number=line_number, line=line)) if first_snippet is None: @@ -729,7 +815,7 @@ def split_lines(content: str) -> list[str]: return _split_lines_keepends(content) @staticmethod - def scan_content(file_name: str, content: str, regex: re.Pattern[str]) -> FileSearchResult | None: + def scan_content(file_name: str, content: str, regex: _SearchPattern) -> FileSearchResult | None: """Find every line of ``content`` matching ``regex``, numbered by :meth:`split_lines`. This is the numbering primitive the base :meth:`search` uses, published so a @@ -741,7 +827,11 @@ def scan_content(file_name: str, content: str, regex: re.Pattern[str]) -> FileSe file_name: The name recorded on the result, relative to the searched directory. content: The file's full text. regex: A compiled pattern, normally from the same source string passed - to :meth:`search`. + to :meth:`search`. Anything exposing ``pattern`` and ``search`` works, + including a plain :class:`re.Pattern`. Note that a store passing its own + ``re.Pattern`` here opts out of the deadline the built-in stores apply, + and so must bound a model-supplied pattern by other means -- see + :func:`_compile_search_regex` for why ``re`` cannot be interrupted. Returns: The match metadata, or ``None`` when no line matches. @@ -860,13 +950,15 @@ async def search( ValueError: When the search does not complete within :data:`_SEARCH_TIMEOUT_SECONDS` seconds. """ - regex = _compile_search_regex(regex_pattern) - return await _run_search_with_timeout(self._scan_candidate_files(directory, regex, glob_pattern, recursive)) + search_pattern = _compile_search_regex(regex_pattern) + return await _run_search_with_timeout( + self._scan_candidate_files(directory, search_pattern, glob_pattern, recursive) + ) async def _scan_candidate_files( self, directory: str, - regex: re.Pattern[str], + search_pattern: _SearchPattern, glob_pattern: str | None, recursive: bool, ) -> list[FileSearchResult]: @@ -876,7 +968,7 @@ async def _scan_candidate_files( over-returns (which :meth:`find_matching_files` explicitly permits) cannot widen the caller's scope. """ - names = await self.find_matching_files(directory, regex.pattern, glob_pattern, recursive=recursive) + names = await self.find_matching_files(directory, search_pattern.pattern, glob_pattern, recursive=recursive) results: list[FileSearchResult] = [] batch: list[tuple[str, str]] = [] batch_chars = 0 @@ -887,7 +979,7 @@ def scan_batch(pending: list[tuple[str, str]]) -> list[FileSearchResult]: # Called on the class, not the instance: a store that overrides the public # scan_content must not be able to skew the numbers while still counting as # aligned by construction. - result = AgentFileStore.scan_content(candidate_name, candidate_content, regex) + result = AgentFileStore.scan_content(candidate_name, candidate_content, search_pattern) if result is not None: found.append(result) return found @@ -1046,7 +1138,7 @@ async def search( prefix = _normalize_relative_path(directory, is_directory=True).lower() if prefix and not prefix.endswith("/"): prefix += "/" - regex = _compile_search_regex(regex_pattern) + search_pattern = _compile_search_regex(regex_pattern) async with self._lock: entries = [(key, display, content) for key, (display, content) in self._files.items()] @@ -1062,7 +1154,7 @@ def scan() -> list[FileSearchResult]: relative_display = display[len(prefix) :] if not _matches_glob(relative_display, glob_pattern): continue - result = AgentFileStore.scan_content(relative_display, file_content, regex) + result = AgentFileStore.scan_content(relative_display, file_content, search_pattern) if result is not None: results.append(result) return results @@ -1350,9 +1442,9 @@ async def search( children. """ full_dir = self._resolve_safe_directory_path(directory) - regex = _compile_search_regex(regex_pattern) + search_pattern = _compile_search_regex(regex_pattern) return await _run_search_with_timeout( - asyncio.to_thread(self._search_files_sync, full_dir, regex, glob_pattern, recursive) + asyncio.to_thread(self._search_files_sync, full_dir, search_pattern, glob_pattern, recursive) ) @staticmethod @@ -1387,7 +1479,7 @@ def _enumerate_search_files(full_dir: Path, recursive: bool) -> list[tuple[str, @staticmethod def _search_files_sync( - full_dir: Path, regex: re.Pattern[str], glob_pattern: str | None, recursive: bool + full_dir: Path, search_pattern: _SearchPattern, glob_pattern: str | None, recursive: bool ) -> list[FileSearchResult]: if not full_dir.is_dir(): return [] @@ -1418,7 +1510,7 @@ def _search_files_sync( logger.warning("Skipping unreadable file during search: %s", entry) skipped.append(relative_name) continue - result = AgentFileStore.scan_content(relative_name, file_content, regex) + result = AgentFileStore.scan_content(relative_name, file_content, search_pattern) if result is not None: results.append(result) if skipped: diff --git a/python/packages/core/agent_framework/_tools.py b/python/packages/core/agent_framework/_tools.py index ff2756cc60d..71bdfcf2646 100644 --- a/python/packages/core/agent_framework/_tools.py +++ b/python/packages/core/agent_framework/_tools.py @@ -3061,9 +3061,7 @@ def _stage_approval_batch_responses( if any(request_id not in stored_responses for request_id in group_ids): updated_group = dict(group) updated_group[_APPROVAL_RESPONSES_KEY] = [ - stored_responses[request_id].to_dict() - for request_id in group_ids - if request_id in stored_responses + stored_responses[request_id].to_dict() for request_id in group_ids if request_id in stored_responses ] remaining_groups.append(updated_group) missing_request_ids = [request_id for request_id in group_ids if request_id not in stored_responses] diff --git a/python/packages/core/agent_framework/_workflows/_agent_executor.py b/python/packages/core/agent_framework/_workflows/_agent_executor.py index a56cf2d0331..2dd0367ac33 100644 --- a/python/packages/core/agent_framework/_workflows/_agent_executor.py +++ b/python/packages/core/agent_framework/_workflows/_agent_executor.py @@ -344,9 +344,7 @@ async def _cancel_pending_request( """Release an agent-owned user-input request after workflow cancellation.""" cancelled_request = self._pending_agent_requests.pop(request_id, None) if cancelled_request is not None and cancelled_request.type == "function_approval_request": - self._pending_responses_to_agent.append( - cancelled_request.to_function_approval_response(approved=False) - ) + self._pending_responses_to_agent.append(cancelled_request.to_function_approval_response(approved=False)) elif ( cancelled_request is not None and cancelled_request.type == "function_call" diff --git a/python/packages/core/pyproject.toml b/python/packages/core/pyproject.toml index 1b1ba9bc77f..5406165ae9c 100644 --- a/python/packages/core/pyproject.toml +++ b/python/packages/core/pyproject.toml @@ -29,6 +29,7 @@ dependencies = [ "python-dotenv>=1,<2", "opentelemetry-api>=1.39.0,<2", "pyyaml>=6.0,<7.0", + "regex>=2024.11.6", ] [project.optional-dependencies] diff --git a/python/packages/core/tests/core/test_function_invocation_logic.py b/python/packages/core/tests/core/test_function_invocation_logic.py index b87af2d86dc..1577a491b86 100644 --- a/python/packages/core/tests/core/test_function_invocation_logic.py +++ b/python/packages/core/tests/core/test_function_invocation_logic.py @@ -2329,9 +2329,10 @@ def second_write() -> str: for content in message.contents if content.type == "function_approval_request" ] - assert [ - request.function_call.name for request in approval_requests if request.function_call is not None - ] == ["first_write", "second_write"] + assert [request.function_call.name for request in approval_requests if request.function_call is not None] == [ + "first_write", + "second_write", + ] await chat_client_base.get_response( [ diff --git a/python/packages/core/tests/core/test_harness_file_access.py b/python/packages/core/tests/core/test_harness_file_access.py index da7b4255f40..68ef1e775ce 100644 --- a/python/packages/core/tests/core/test_harness_file_access.py +++ b/python/packages/core/tests/core/test_harness_file_access.py @@ -12,6 +12,7 @@ from types import SimpleNamespace import pytest +import regex from agent_framework import ( Agent, @@ -254,7 +255,7 @@ async def test_in_memory_store_search_rejects_invalid_and_oversize_regex() -> No store = InMemoryAgentFileStore() await store.write("a.md", "hello") - with pytest.raises(re.error): + with pytest.raises(regex.error): await store.search("", "[unclosed") with pytest.raises(ValueError, match="too long"): @@ -929,6 +930,102 @@ async def slow_pipeline() -> list[FileSearchResult]: await _run_search_with_timeout(slow_pipeline()) +# region ReDoS guard + +# A pattern that forces catastrophic backtracking, plus a subject it cannot match. +# +# ``(a+)+$`` is the textbook example and the one the .NET suite uses, but it is useless +# here: the ``regex`` engine optimises it away and returns instantly, so it would pass +# against an unguarded implementation and prove nothing. ``(a|a)*$`` still backtracks +# exponentially under both engines, so it actually exercises the guard. +# +# The trap is sized so an unguarded ``re`` scan takes tens of seconds -- long enough to +# fail the assertions below decisively, short enough that a regression cannot wedge CI +# forever. Every doubling of the length doubles the unguarded runtime. +_REDOS_PATTERN = r"(a|a)*$" +_REDOS_TRAP = "a" * 26 + "!" + +# Deadline used by the guard tests. Short, because a working guard returns at the +# deadline; only a broken one runs long. +_REDOS_TIMEOUT_SECONDS = 0.3 + + +async def _assert_search_is_bounded( + store: AgentFileStore, + monkeypatch: pytest.MonkeyPatch, +) -> None: + """Assert a ReDoS pattern is refused promptly without stalling the event loop. + + Two properties are checked, because either one alone can pass against a broken + implementation: + + * The search returns (as a ``ValueError``) close to the deadline rather than + running the match to completion. + * A concurrent task keeps being scheduled *throughout* the search. This is the + property the original report turned on: offloading the scan to a worker thread + bounds nothing on its own, because CPython's ``re`` engine holds the GIL for the + duration of a single match, so the timeout cannot fire and unrelated work on the + same loop stops. + """ + monkeypatch.setattr(_file_access_module, "_SEARCH_TIMEOUT_SECONDS", _REDOS_TIMEOUT_SECONDS) + await store.write("trap.txt", _REDOS_TRAP) + + beats = 0 + stop = asyncio.Event() + + async def heartbeat() -> None: + nonlocal beats + while not stop.is_set(): + await asyncio.sleep(_REDOS_TIMEOUT_SECONDS / 10) + beats += 1 + + beating = asyncio.create_task(heartbeat()) + # Let the heartbeat reach its first await so the count reflects the search window only. + await asyncio.sleep(0) + started = time.monotonic() + try: + with pytest.raises(ValueError, match="did not complete"): + await store.search("", _REDOS_PATTERN) + elapsed = time.monotonic() - started + finally: + stop.set() + beating.cancel() + await asyncio.gather(beating, return_exceptions=True) + + # Generous ceiling: the point is that the deadline is enforced at all, not that it is + # precise. An unguarded scan overshoots by orders of magnitude, not by a factor of ten. + assert elapsed < _REDOS_TIMEOUT_SECONDS * 10, f"search overran its deadline: {elapsed:.2f}s" + assert beats >= 2, f"event loop stalled during the search: {beats} heartbeat(s)" + + +async def test_in_memory_store_search_bounds_catastrophic_backtracking( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """A ReDoS pattern must not wedge the in-memory store's scan.""" + await _assert_search_is_bounded(InMemoryAgentFileStore(), monkeypatch) + + +async def test_filesystem_store_search_bounds_catastrophic_backtracking( + tmp_path: Path, monkeypatch: pytest.MonkeyPatch +) -> None: + """A ReDoS pattern must not wedge the filesystem store's scan.""" + await _assert_search_is_bounded(FileSystemAgentFileStore(tmp_path), monkeypatch) + + +async def test_base_search_pipeline_bounds_catastrophic_backtracking( + monkeypatch: pytest.MonkeyPatch, +) -> None: + """The inherited ``search`` pipeline must be bounded too. + + A store that implements only the mandatory members gets this pipeline for free, so + it is the shape most third-party stores will run. + """ + await _assert_search_is_bounded(_ContentOnlyStore(), monkeypatch) + + +# endregion + + async def test_filesystem_store_symlink_probe_fails_closed_on_oserror( tmp_path: Path, monkeypatch: pytest.MonkeyPatch ) -> None: @@ -1075,7 +1172,7 @@ async def test_file_access_tool_wrappers_surface_value_error_as_message( # An invalid regex is surfaced to the caller (the model) as a raised error # so it can correct the pattern and retry. - with pytest.raises(re.error): + with pytest.raises(regex.error): await search.invoke(arguments={"regex_pattern": "[unclosed"}) diff --git a/python/packages/core/tests/core/test_harness_file_memory.py b/python/packages/core/tests/core/test_harness_file_memory.py index 1442b151890..4f2e810c858 100644 --- a/python/packages/core/tests/core/test_harness_file_memory.py +++ b/python/packages/core/tests/core/test_harness_file_memory.py @@ -3,9 +3,9 @@ from __future__ import annotations import json -import re import pytest +import regex from agent_framework import ( AgentFileStore, @@ -388,7 +388,7 @@ async def test_search_propagates_invalid_regex() -> None: provider = FileMemoryProvider(store=InMemoryAgentFileStore()) _, tools = await _prepare(provider) - with pytest.raises(re.error): + with pytest.raises(regex.error): await tools["file_memory_grep"].invoke(arguments={"regex_pattern": "[unclosed"}) diff --git a/python/packages/core/tests/core/test_harness_tool_approval.py b/python/packages/core/tests/core/test_harness_tool_approval.py index cf5e179153c..1a96bd97088 100644 --- a/python/packages/core/tests/core/test_harness_tool_approval.py +++ b/python/packages/core/tests/core/test_harness_tool_approval.py @@ -1658,9 +1658,9 @@ def second_read() -> str: ) assert execution_order == [] - assert [ - _function_call(request).name for request in _approval_requests(partial_response.messages) - ] == ["first_write"] + assert [_function_call(request).name for request in _approval_requests(partial_response.messages)] == [ + "first_write" + ] repeated_partial_response = await agent.run( requests[1].to_function_approval_response(approved=True), diff --git a/python/packages/core/tests/workflow/test_agent_executor_tool_calls.py b/python/packages/core/tests/workflow/test_agent_executor_tool_calls.py index 46278205945..8c931260fe8 100644 --- a/python/packages/core/tests/workflow/test_agent_executor_tool_calls.py +++ b/python/packages/core/tests/workflow/test_agent_executor_tool_calls.py @@ -568,9 +568,7 @@ async def _get_response() -> ChatResponse: def _create_response(self) -> ChatResponse: if self._iteration == 0: if self._mixed_request: - response = ChatResponse( - messages=Message("assistant", self._mixed_request_contents()) - ) + response = ChatResponse(messages=Message("assistant", self._mixed_request_contents())) elif self._parallel_request: response = ChatResponse( messages=Message( diff --git a/python/packages/tools/agent_framework_tools/shell/_policy.py b/python/packages/tools/agent_framework_tools/shell/_policy.py index cf5097acb40..eb515ba6f28 100644 --- a/python/packages/tools/agent_framework_tools/shell/_policy.py +++ b/python/packages/tools/agent_framework_tools/shell/_policy.py @@ -36,12 +36,48 @@ from __future__ import annotations +import logging import re from collections.abc import Callable, Sequence from dataclasses import dataclass, field -from typing import Literal, Union +from typing import Any, Literal, Union -PatternLike = Union[str, re.Pattern[str]] +import regex + +logger = logging.getLogger(__name__) + +PatternLike = Union[str, re.Pattern[str], regex.Pattern[str]] + +# Wall-clock bound on a single pattern match. +# +# Policy patterns are operator-authored, but the command they are matched against is +# model-generated and therefore attacker-influenced. An ambiguous pattern can be pushed +# into catastrophic backtracking by a crafted command, and ``evaluate`` is synchronous -- +# it runs on the caller's thread with no offload -- so an unbounded match stalls the whole +# process. One second is far longer than any realistic policy match needs. +_PATTERN_MATCH_TIMEOUT_SECONDS = 1.0 + + +class _PatternTimeout(Exception): + """Raised when a single policy pattern match exceeds its budget.""" + + +def _search(pattern: Any, command: str) -> bool: + """Return whether ``pattern`` matches ``command``. + + Raises: + _PatternTimeout: When a bounded pattern exceeds + :data:`_PATTERN_MATCH_TIMEOUT_SECONDS`. Callers decide what a non-answer + means for them; both call sites in :meth:`ShellPolicy.evaluate` fail closed. + """ + if isinstance(pattern, re.Pattern): + # An operator handed us a pre-compiled ``re`` pattern; its flags are its own and + # ``re`` cannot be interrupted, so this one is matched unbounded. + return pattern.search(command) is not None # pyright: ignore[reportUnknownMemberType] + try: + return pattern.search(command, timeout=_PATTERN_MATCH_TIMEOUT_SECONDS) is not None + except TimeoutError as exc: + raise _PatternTimeout from exc @dataclass(frozen=True) @@ -60,10 +96,24 @@ class ShellDecision: reason: str = "" -def _compile_patterns(patterns: Sequence[PatternLike]) -> tuple[re.Pattern[str], ...]: - compiled: list[re.Pattern[str]] = [] +def _compile_patterns(patterns: Sequence[PatternLike]) -> tuple[Any, ...]: + """Compile policy patterns, preferring the interruptible ``regex`` engine. + + A pattern given as a string is compiled with ``regex``, so the match can be bounded by + :func:`_search`. An already-compiled pattern is kept verbatim -- re-compiling would + silently reinterpret whichever flags the caller set. A pre-compiled :class:`regex.Pattern` + is still bounded; a pre-compiled :class:`re.Pattern` is not, because ``re`` offers no way + to interrupt a match. + """ + compiled: list[Any] = [] for pat in patterns: - compiled.append(pat if isinstance(pat, re.Pattern) else re.compile(pat, re.IGNORECASE)) + if isinstance(pat, (re.Pattern, regex.Pattern)): + compiled.append(pat) + else: + # VERSION1 is selected explicitly rather than left to ``regex.DEFAULT_VERSION``, + # which is a mutable process global: any library in the process can flip it and + # silently change how these patterns parse. + compiled.append(regex.compile(pat, flags=regex.IGNORECASE | regex.VERSION1)) return tuple(compiled) @@ -86,14 +136,27 @@ class ShellPolicy: Supply ``denylist`` and/or ``allowlist`` explicitly to enable filtering. See the module docstring for why the framework does not ship default deny patterns. + + .. warning:: + Policy patterns are **developer-authored code**, not model or user input, so + testing them is the developer's responsibility. A pattern with nested or + ambiguous quantifiers (``(a|a)*``, ``(a+)+``) can be pushed into catastrophic + backtracking by a crafted command, and the command *is* model-generated. + + Prefer plain ``str`` patterns: the framework compiles those on the ``regex`` + engine and bounds every match at one second, failing closed on timeout. A + pre-compiled :class:`regex.Pattern` is bounded the same way. A pre-compiled + :class:`re.Pattern` is honoured verbatim and is **not** bounded -- the standard + library offers no way to interrupt a match -- so an expensive pattern supplied + that way can stall the calling thread indefinitely. """ denylist: Sequence[PatternLike] = field(default_factory=tuple) allowlist: Sequence[PatternLike] | None = None custom: Callable[[ShellRequest], ShellDecision | None] | None = None - _denies: tuple[re.Pattern[str], ...] = field(init=False, repr=False, compare=False) - _allows: tuple[re.Pattern[str], ...] | None = field(init=False, repr=False, compare=False) + _denies: tuple[Any, ...] = field(init=False, repr=False, compare=False) + _allows: tuple[Any, ...] | None = field(init=False, repr=False, compare=False) def __post_init__(self) -> None: self._denies = _compile_patterns(self.denylist) @@ -105,14 +168,23 @@ def evaluate(self, request: ShellRequest) -> ShellDecision: Empty/whitespace-only commands are denied (there is nothing to run). With default settings (no denylist, no allowlist) every non-empty command is allowed. + + A pattern that exceeds its match budget yields no answer, and both lists treat a + non-answer as a denial: an unproven denylist pattern is assumed to have matched, + and an unproven allowlist pattern is assumed not to have. """ command = request.command.strip() if not command: return ShellDecision("deny", "command is empty") for pat in self._denies: - if pat.search(command): + try: + hit = _search(pat, command) + except _PatternTimeout: + logger.warning("Denylist pattern timed out; denying command: %s", pat.pattern) + return ShellDecision("deny", f"denylist pattern could not be evaluated in time: {pat.pattern}") + if hit: return ShellDecision("deny", f"matches denylist pattern: {pat.pattern}") - if self._allows is not None and not any(pat.search(command) for pat in self._allows): + if self._allows is not None and not self._matches_allowlist(command): return ShellDecision("deny", "command does not match allowlist") if self.custom is not None: override = self.custom(request) @@ -120,6 +192,21 @@ def evaluate(self, request: ShellRequest) -> ShellDecision: return override return ShellDecision("allow") + def _matches_allowlist(self, command: str) -> bool: + """Return whether any allowlist pattern matches ``command``. + + A pattern that times out is skipped rather than counted as a match: the allowlist + grants permission, so an unproven pattern must not be the thing that grants it. + """ + assert self._allows is not None # nosec B101 - guarded by the caller + for pat in self._allows: + try: + if _search(pat, command): + return True + except _PatternTimeout: + logger.warning("Allowlist pattern timed out; not counting it as a match: %s", pat.pattern) + return False + def evaluate_command(self, command: str) -> ShellDecision: """Convenience: evaluate a bare command with no workdir context.""" return self.evaluate(ShellRequest(command=command)) diff --git a/python/packages/tools/tests/test_policy.py b/python/packages/tools/tests/test_policy.py index 12cc65b3955..b3acd66d732 100644 --- a/python/packages/tools/tests/test_policy.py +++ b/python/packages/tools/tests/test_policy.py @@ -1,5 +1,10 @@ # Copyright (c) Microsoft. All rights reserved. +import re +import time + +import regex + from agent_framework_tools.shell import ShellDecision, ShellPolicy, ShellRequest # Representative destructive-rm patterns used to exercise the deny-list @@ -77,3 +82,63 @@ def veto(req: ShellRequest) -> ShellDecision | None: policy = ShellPolicy(custom=veto) assert _decide(policy, "echo hello").decision == "allow" assert _decide(policy, "cat my_secret.env").decision == "deny" + + +# A pattern that backtracks catastrophically, plus a command it cannot match. An operator +# could plausibly write something this shape while trying to match a spaced-out command +# line; the model then only has to supply the subject to stall the match. +_REDOS_PATTERN = r"(a|a)*$" +_REDOS_COMMAND = "a" * 26 + "!" + + +def test_denylist_pattern_timeout_denies() -> None: + """A denylist pattern that cannot be evaluated in time must fail closed.""" + policy = ShellPolicy(denylist=[_REDOS_PATTERN]) + + started = time.monotonic() + decision = _decide(policy, _REDOS_COMMAND) + elapsed = time.monotonic() - started + + assert decision.decision == "deny" + assert "could not be evaluated in time" in decision.reason + assert elapsed < 5.0, f"policy evaluation overran: {elapsed:.2f}s" + + +def test_allowlist_pattern_timeout_does_not_grant_access() -> None: + """An allowlist pattern that times out must not be what grants permission.""" + policy = ShellPolicy(allowlist=[_REDOS_PATTERN]) + + started = time.monotonic() + decision = _decide(policy, _REDOS_COMMAND) + elapsed = time.monotonic() - started + + assert decision.decision == "deny" + assert "does not match allowlist" in decision.reason + assert elapsed < 5.0, f"policy evaluation overran: {elapsed:.2f}s" + + +def test_precompiled_re_pattern_still_supported() -> None: + """Handing over an already-compiled ``re`` pattern keeps working.""" + policy = ShellPolicy(denylist=[re.compile(r"^ssh\b", re.IGNORECASE)]) + assert _decide(policy, "ssh host").decision == "deny" + assert _decide(policy, "ls").decision == "allow" + + +def test_precompiled_regex_pattern_is_supported_and_bounded() -> None: + """A pre-compiled ``regex`` pattern is accepted and still matched under the timeout. + + This is the pattern type the class docstring recommends for callers who want to compile + ahead of time without giving up the match bound, so it has to work end to end. + """ + policy = ShellPolicy(denylist=[regex.compile(r"^ssh\b", regex.IGNORECASE)]) + assert _decide(policy, "ssh host").decision == "deny" + assert _decide(policy, "ls").decision == "allow" + + bounded = ShellPolicy(denylist=[regex.compile(_REDOS_PATTERN)]) + started = time.monotonic() + decision = _decide(bounded, _REDOS_COMMAND) + elapsed = time.monotonic() - started + + assert decision.decision == "deny" + assert "could not be evaluated in time" in decision.reason + assert elapsed < 5.0, f"policy evaluation overran: {elapsed:.2f}s" diff --git a/python/uv.lock b/python/uv.lock index 560483c30d3..65fe4e5f906 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -448,6 +448,7 @@ dependencies = [ { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "python-dotenv", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pyyaml", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "regex", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] @@ -530,6 +531,7 @@ requires-dist = [ { name = "pydantic", specifier = ">=2,<3" }, { name = "python-dotenv", specifier = ">=1,<2" }, { name = "pyyaml", specifier = ">=6.0,<7.0" }, + { name = "regex", specifier = ">=2024.11.6" }, { name = "typing-extensions", specifier = ">=4.15.0,<5" }, ] provides-extras = ["all"] From 723256961e8e46980b869ee2c75ef05f16644921 Mon Sep 17 00:00:00 2001 From: ZedingZhang Date: Fri, 18 Sep 2026 19:18:07 +0000 Subject: [PATCH 14/30] Python: Reject empty available modes in mode helpers (#8536) --- .../core/agent_framework/_harness/_mode.py | 18 ++++++++++++++--- .../core/tests/core/test_harness_mode.py | 20 +++++++++++++++++++ 2 files changed, 35 insertions(+), 3 deletions(-) diff --git a/python/packages/core/agent_framework/_harness/_mode.py b/python/packages/core/agent_framework/_harness/_mode.py index 9d8e1650286..6e1e53ad478 100644 --- a/python/packages/core/agent_framework/_harness/_mode.py +++ b/python/packages/core/agent_framework/_harness/_mode.py @@ -106,6 +106,15 @@ def _normalize_available_modes(available_modes: Sequence[str]) -> dict[str, str] return normalized_modes +def _resolve_available_modes(available_modes: Sequence[str] | None) -> dict[str, str]: + """Normalize configured modes, using built-in modes only when none are provided.""" + configured_modes = tuple(DEFAULT_MODE_MAP) if available_modes is None else tuple(available_modes) + normalized_modes = _normalize_available_modes(configured_modes) + if not normalized_modes: + raise ValueError("available_modes must contain at least one mode.") + return normalized_modes + + def _normalize_mode(mode: str, *, available_modes: Mapping[str, str]) -> str: """Validate and normalize a mode string.""" normalized = mode.strip().lower() @@ -142,8 +151,11 @@ def get_agent_mode( Returns: The current mode string. + + Raises: + ValueError: The available modes are empty or duplicated, or the default mode is not configured. """ - normalized_modes = _normalize_available_modes(tuple(available_modes or DEFAULT_MODE_MAP)) + normalized_modes = _resolve_available_modes(available_modes) normalized_default_mode = _resolve_default_mode(default_mode, available_modes=normalized_modes) provider_state = _get_mode_state(session, source_id=source_id) current_mode = provider_state.get("current_mode") @@ -189,9 +201,9 @@ def set_agent_mode( The normalized mode string that was stored. Raises: - ValueError: The requested mode is not configured. + ValueError: The available modes are empty or duplicated, or the requested mode is not configured. """ - normalized_modes = _normalize_available_modes(tuple(available_modes or DEFAULT_MODE_MAP)) + normalized_modes = _resolve_available_modes(available_modes) normalized_mode = _normalize_mode(mode, available_modes=normalized_modes) provider_state = _get_mode_state(session, source_id=source_id) previous_mode = provider_state.get("current_mode") diff --git a/python/packages/core/tests/core/test_harness_mode.py b/python/packages/core/tests/core/test_harness_mode.py index 57120f1ffba..0d63a4ca2af 100644 --- a/python/packages/core/tests/core/test_harness_mode.py +++ b/python/packages/core/tests/core/test_harness_mode.py @@ -51,6 +51,26 @@ def test_get_and_set_agent_mode_manage_session_state() -> None: set_agent_mode(session, "ship") +def test_get_agent_mode_rejects_empty_available_modes() -> None: + """An explicitly empty mode set must not fall back to the built-in modes.""" + session = AgentSession(session_id="session-1") + + with pytest.raises(ValueError, match="available_modes must contain at least one mode"): + get_agent_mode(session, available_modes=[]) + + assert DEFAULT_MODE_SOURCE_ID not in session.state + + +def test_set_agent_mode_rejects_empty_available_modes() -> None: + """An explicitly empty mode set must not fall back to the built-in modes.""" + session = AgentSession(session_id="session-1") + + with pytest.raises(ValueError, match="available_modes must contain at least one mode"): + set_agent_mode(session, "plan", available_modes=[]) + + assert DEFAULT_MODE_SOURCE_ID not in session.state + + def test_agent_mode_helpers_reject_non_dict_provider_state() -> None: """Mode helpers should not overwrite unrelated non-dict session state.""" session = AgentSession(session_id="session-1") From 53e98134c91127d040daf034e889e633af4218bc Mon Sep 17 00:00:00 2001 From: "Shivani ." Date: Mon, 21 Sep 2026 00:44:22 +0000 Subject: [PATCH 15/30] Python: Include InvokeAzureAgent input.arguments in agent text (#7902) (#8547) * Python: Include InvokeAzureAgent input.arguments in agent text Fold evaluated input.arguments into the text passed to agent.run() so argument-only InvokeAzureAgent actions no longer silently invoke with an empty string. * Python: skip implicit fallback when InvokeAzureAgent arguments are present Addresses review on #7907: arguments-only actions no longer append System.LastMessage / Workflow.Inputs fallback text to their structured fields in chained workflows. Adds a regression test with poisoned fallback state. --- .../_workflows/_executors_agents.py | 86 ++++++++++------- .../declarative/tests/test_graph_coverage.py | 96 +++++++++++++++++++ 2 files changed, 145 insertions(+), 37 deletions(-) diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py index 458b2b714a4..247f4a10856 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_executors_agents.py @@ -682,6 +682,12 @@ async def _get_conversation_messages_path( async def _build_input_text(self, state: Any, arguments: dict[str, Any], messages_expr: Any) -> str: """Build input text from arguments and messages. + ``input.arguments`` are formatted as ``key: value`` lines (same shape as the + multi-value ``Workflow.Inputs`` fallback) and included in the text sent to + ``agent.run()``. Python's agent ``run()`` has no separate structured-inputs + channel, so arguments must be folded into this text rather than discarded + (#7902). + Args: state: Workflow state for expression evaluation arguments: Input arguments to evaluate @@ -690,55 +696,61 @@ async def _build_input_text(self, state: Any, arguments: dict[str, Any], message Returns: Input text for the agent """ - # Evaluate arguments evaluated_args: dict[str, Any] = {} for key, value in arguments.items(): evaluated_args[key] = state.eval_if_expression(value) + args_text = "\n".join(f"{k}: {v}" for k, v in evaluated_args.items()) if evaluated_args else "" - # Evaluate messages/input + messages_text = "" if messages_expr: evaluated_input: Any = state.eval_if_expression(messages_expr) if isinstance(evaluated_input, str): - return evaluated_input - if isinstance(evaluated_input, list) and evaluated_input: + messages_text = evaluated_input + elif isinstance(evaluated_input, list) and evaluated_input: # Extract text from last message last: Any = evaluated_input[-1] # type: ignore if isinstance(last, str): - return last - if isinstance(last, dict): + messages_text = last + elif isinstance(last, dict): last_dict = cast(dict[str, Any], last) content_val: Any = last_dict.get("content", last_dict.get("text", "")) - return str(content_val) if content_val else "" - if last is not None and hasattr(last, "text"): # type: ignore - return str(getattr(last, "text", "")) # type: ignore - if evaluated_input: - return str(cast(Any, evaluated_input)) - return "" - - # Fallback chain for implicit input (like .NET conversationId pattern): - # 1. Local.input / Local.userInput (explicit turn state) - # 2. System.LastMessage.Text (previous agent's response) - # 3. Workflow.Inputs (first agent gets workflow inputs) - input_text: str = str(state.get("Local.input") or state.get("Local.userInput") or "") - if not input_text: - # Try System.LastMessage.Text (used by external loop and agent chaining) - last_message: Any = state.get("System.LastMessage") - if isinstance(last_message, dict): - last_msg_dict = cast(dict[str, Any], last_message) - text_val: Any = last_msg_dict.get("Text", "") - input_text = str(text_val) if text_val else "" - if not input_text: - # Fall back to workflow inputs (for first agent in chain) - inputs: Any = state.get("Workflow.Inputs") - if isinstance(inputs, dict): - inputs_dict = cast(dict[str, Any], inputs) - # If single input, use its value directly - if len(inputs_dict) == 1: - input_text = str(next(iter(inputs_dict.values()))) - else: - # Multiple inputs - format as key: value pairs - input_text = "\n".join(f"{k}: {v}" for k, v in inputs_dict.items()) - return input_text if input_text else "" + messages_text = str(content_val) if content_val else "" + elif last is not None and hasattr(last, "text"): # type: ignore + messages_text = str(getattr(last, "text", "")) # type: ignore + elif evaluated_input: + messages_text = str(cast(Any, evaluated_input)) + elif not evaluated_args: + # Fallback chain for implicit input (like .NET conversationId pattern): + # Only when neither explicit messages nor explicit arguments are present. + # Otherwise arguments-only actions (e.g. customer-support TicketingAgent) + # would append System.LastMessage (prior agent's response) or + # Workflow.Inputs to their structured fields in chained workflows. + # 1. Local.input / Local.userInput (explicit turn state) + # 2. System.LastMessage.Text (previous agent's response) + # 3. Workflow.Inputs (first agent gets workflow inputs) + messages_text = str(state.get("Local.input") or state.get("Local.userInput") or "") + if not messages_text: + # Try System.LastMessage.Text (used by external loop and agent chaining) + last_message: Any = state.get("System.LastMessage") + if isinstance(last_message, dict): + last_msg_dict = cast(dict[str, Any], last_message) + text_val: Any = last_msg_dict.get("Text", "") + messages_text = str(text_val) if text_val else "" + if not messages_text: + # Fall back to workflow inputs (for first agent in chain) + inputs: Any = state.get("Workflow.Inputs") + if isinstance(inputs, dict): + inputs_dict = cast(dict[str, Any], inputs) + # If single input, use its value directly + if len(inputs_dict) == 1: + messages_text = str(next(iter(inputs_dict.values()))) + else: + # Multiple inputs - format as key: value pairs + messages_text = "\n".join(f"{k}: {v}" for k, v in inputs_dict.items()) + + if args_text and messages_text: + return f"{args_text}\n{messages_text}" + return args_text or messages_text or "" def _get_agent(self, agent_name: str, ctx: WorkflowContext[Any, Any]) -> Any: """Get agent from registry (sync helper for response handler).""" diff --git a/python/packages/declarative/tests/test_graph_coverage.py b/python/packages/declarative/tests/test_graph_coverage.py index fe4c6e7060a..2828d4e5fb7 100644 --- a/python/packages/declarative/tests/test_graph_coverage.py +++ b/python/packages/declarative/tests/test_graph_coverage.py @@ -977,6 +977,102 @@ async def test_agent_executor_build_input_text_fallback_chain(self, mock_context input_text = await executor._build_input_text(state, {}, None) assert input_text == "workflow input" + async def test_agent_executor_build_input_text_arguments_only_skips_implicit_fallback( + self, mock_context, mock_state + ): + """Arguments-only actions must not append implicit fallback input (#7902 review).""" + from agent_framework_declarative._workflows._executors_agents import ( + InvokeAzureAgentExecutor, + ) + + state = DeclarativeWorkflowState(mock_state) + state.initialize({"query": "workflow input"}) + state.set("System.LastMessage", {"Text": "prior agent response", "Id": "1"}) + state.set("Local.input", "turn input") + + action_def = {"kind": "InvokeAzureAgent", "agent": "Test"} + executor = InvokeAzureAgentExecutor(action_def) + + input_text = await executor._build_input_text( + state, + {"IssueDescription": "Printer jammed"}, + None, + ) + + assert input_text == "IssueDescription: Printer jammed" + + async def test_agent_executor_build_input_text_includes_arguments_only(self, mock_context, mock_state): + """Regression for #7902: input.arguments must reach the agent when messages are omitted.""" + from agent_framework_declarative._workflows._executors_agents import ( + InvokeAzureAgentExecutor, + ) + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + + action_def = {"kind": "InvokeAzureAgent", "agent": "Test"} + executor = InvokeAzureAgentExecutor(action_def) + + input_text = await executor._build_input_text( + state, + { + "IssueDescription": "The printer on the 3rd floor is jammed.", + "AttemptedResolutionSteps": "Restarted the printer twice.", + }, + None, + ) + + assert "IssueDescription: The printer on the 3rd floor is jammed." in input_text + assert "AttemptedResolutionSteps: Restarted the printer twice." in input_text + + @_requires_powerfx + async def test_agent_executor_build_input_text_combines_arguments_and_messages( + self, mock_context, mock_state + ): + """input.arguments are kept alongside explicit messages (#7902).""" + from agent_framework_declarative._workflows._executors_agents import ( + InvokeAzureAgentExecutor, + ) + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + state.set("Local.userInput", "Please help with this ticket.") + + action_def = {"kind": "InvokeAzureAgent", "agent": "Test"} + executor = InvokeAzureAgentExecutor(action_def) + + input_text = await executor._build_input_text( + state, + {"IssueDescription": "Printer jammed"}, + "=Local.userInput", + ) + + assert input_text == "IssueDescription: Printer jammed\nPlease help with this ticket." + + @_requires_powerfx + async def test_agent_executor_build_input_text_evaluates_argument_expressions( + self, mock_context, mock_state + ): + """Argument values that are expressions are evaluated before formatting (#7902).""" + from agent_framework_declarative._workflows._executors_agents import ( + InvokeAzureAgentExecutor, + ) + + state = DeclarativeWorkflowState(mock_state) + state.initialize() + state.set("Local.issue", "Network outage") + + action_def = {"kind": "InvokeAzureAgent", "agent": "Test"} + executor = InvokeAzureAgentExecutor(action_def) + + input_text = await executor._build_input_text( + state, + {"IssueDescription": "=Local.issue"}, + None, + ) + + assert input_text == "IssueDescription: Network outage" + async def test_agent_executor_build_input_text_from_system_last_message(self, mock_context, mock_state): """Test _build_input_text falls back to system.LastMessage.Text.""" from agent_framework_declarative._workflows._executors_agents import ( From 2565daf96b1162a86649728093c6534a11fe3d2b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=BB=84=E8=80=80=E9=91=AB=28Huang=20Yaoxin=29?= <174019195+YaoxinHuang@users.noreply.github.com> Date: Mon, 21 Sep 2026 03:57:02 +0000 Subject: [PATCH 16/30] Python: Require expected keys in tool argument evaluation (#8560) * Require expected keys in tool argument evaluation * Test missing and explicit-null tool arguments --- .../core/agent_framework/_evaluation.py | 2 +- .../core/tests/core/test_local_eval.py | 32 +++++++++++++++++++ 2 files changed, 33 insertions(+), 1 deletion(-) diff --git a/python/packages/core/agent_framework/_evaluation.py b/python/packages/core/agent_framework/_evaluation.py index 327258b846b..e7ffb79088d 100644 --- a/python/packages/core/agent_framework/_evaluation.py +++ b/python/packages/core/agent_framework/_evaluation.py @@ -1221,7 +1221,7 @@ def tool_call_args_match(item: EvalItem) -> CheckResult: for _, actual_args in matching: if actual_args is None: continue - if all(actual_args.get(k) == v for k, v in exp.arguments.items()): + if all(k in actual_args and actual_args[k] == v for k, v in exp.arguments.items()): found = True break diff --git a/python/packages/core/tests/core/test_local_eval.py b/python/packages/core/tests/core/test_local_eval.py index f3713506c22..e00e0d6a951 100644 --- a/python/packages/core/tests/core/test_local_eval.py +++ b/python/packages/core/tests/core/test_local_eval.py @@ -5,6 +5,7 @@ from __future__ import annotations import inspect +import json import pytest @@ -612,6 +613,37 @@ def test_args_mismatch(self): assert result.passed is False assert "args mismatch" in result.reason + @pytest.mark.parametrize("as_json", [False, True], ids=["dict", "json"]) + @pytest.mark.parametrize( + "arguments, expected_passed", + [ + pytest.param({"location": "NYC"}, False, id="missing"), + pytest.param({"location": "NYC", "units": None}, True, id="explicit-null"), + pytest.param({"location": "NYC", "units": "fahrenheit"}, False, id="non-null"), + pytest.param({"location": "NYC", "units": None, "days": 1}, True, id="extra-argument"), + ], + ) + def test_null_argument_requires_key(self, arguments, expected_passed, as_json): + item = EvalItem( + conversation=[ + Message( + "assistant", + [ + Content.from_function_call( + "call_weather", + "get_weather", + arguments=json.dumps(arguments) if as_json else arguments, + ) + ], + ) + ], + expected_tool_calls=[ExpectedToolCall("get_weather", {"location": "NYC", "units": None})], + ) + + result = tool_call_args_match(item) + + assert result.passed is expected_passed + def test_tool_not_called(self): item = _make_tool_call_item( calls=[("get_news", None)], From 669c8b95e774f298012a55bc0afe19826fd20aba Mon Sep 17 00:00:00 2001 From: ZedingZhang Date: Mon, 21 Sep 2026 04:05:36 +0000 Subject: [PATCH 17/30] Python: fix(orchestrations): preserve user multimodal content during handoff (#8551) clean_conversation_for_handoff dropped every non-text content type to avoid replaying runtime-only tool-control payloads, but that also discarded genuine user input such as images, files, and vector store references, so agents receiving a handoff lost the user's multimodal context. Keep semantic multimodal content (data, uri, hosted_file, hosted_vector_store) on user messages while keeping assistant and other non-user messages text-only, since providers treat multimodal parts as input-only and reject them when replayed on assistant turns. Tool-control payloads (function_call, function_result, approval payloads) remain excluded as before. Fixes #7822 --- .../_orchestrator_helpers.py | 48 ++++++++---- .../orchestrations/tests/test_handoff.py | 57 ++++++++++++++ .../orchestrations/tests/test_sequential.py | 74 +++++++++++++++++++ 3 files changed, 163 insertions(+), 16 deletions(-) diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py b/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py index 1ad4d01e826..b4da5b7e282 100644 --- a/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py +++ b/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py @@ -13,37 +13,53 @@ logger = logging.getLogger(__name__) +# Semantic content types that carry real user input and must survive handoff routing. +# Everything else (function calls, function results, approval payloads, tool outputs) +# is runtime-only tool-control state that providers reject when replayed. +_USER_SEMANTIC_CONTENT_TYPES: frozenset[str] = frozenset({"text", "data", "uri", "hosted_file", "hosted_vector_store"}) + + def clean_conversation_for_handoff(conversation: list[Message]) -> list[Message]: - """Keep only plain text chat history for handoff routing. + """Clean the conversation history for handoff routing. Handoff executors must not replay prior tool-control artifacts (function calls, tool outputs, approval payloads) into future model turns, or providers may reject - the next request due to unmatched tool-call state. - - This helper builds a text-only copy of the conversation: - - Drops all non-text content from every message. - - Drops messages with no remaining text content. - - Preserves original roles and author names for retained text messages. + the next request due to unmatched tool-call state. At the same time, genuine user + input such as images or files must be preserved so the receiving agent keeps the + full context of the request. + + This helper builds a cleaned copy of the conversation: + - Keeps text content on every message. + - Additionally keeps semantic multimodal content (data, uri, hosted_file, + hosted_vector_store) on user messages. + - Keeps assistant and other non-user messages text-only, because providers treat + multimodal parts as input-only and reject them when replayed on assistant turns. + - Drops tool-control payloads (function_call, function_result, approval payloads, etc.). + - Drops messages with no remaining content. + - Preserves original roles and author names for retained messages. Args: conversation: Full conversation history, including tool-control content Returns: - Cleaned conversation history with only text content, suitable for handoff routing + Cleaned conversation history suitable for handoff routing, with semantic + multimodal content preserved on user messages. """ cleaned: list[Message] = [] for msg in conversation: - # Keep only plain text history for handoff routing. Tool-control content - # (function_call/function_result/approval payloads) is runtime-only and - # must not be replayed in future model turns. - text_parts = [content.text for content in msg.contents if content.type == "text" and content.text] - # TODO(@taochen): This is a simplified check that considers any non-text content as a tool call. - # We need to enhance this logic to specifically identify tool related contents. - if not text_parts: + # Tool-control content (function_call/function_result/approval payloads) is + # runtime-only and must not be replayed in future model turns. + allowed_types = _USER_SEMANTIC_CONTENT_TYPES if str(msg.role).lower() == "user" else frozenset({"text"}) + retained = [ + content + for content in msg.contents + if content.type in allowed_types and (content.type != "text" or content.text) + ] + if not retained: continue msg_copy = Message( role=msg.role, - contents=[" ".join(text_parts)], + contents=retained, author_name=msg.author_name, additional_properties=dict(msg.additional_properties) if msg.additional_properties else None, ) diff --git a/python/packages/orchestrations/tests/test_handoff.py b/python/packages/orchestrations/tests/test_handoff.py index 3b476434669..1a997f14f2c 100644 --- a/python/packages/orchestrations/tests/test_handoff.py +++ b/python/packages/orchestrations/tests/test_handoff.py @@ -1142,6 +1142,63 @@ def test_clean_conversation_for_handoff_keeps_text_only_history() -> None: ] +def test_clean_conversation_for_handoff_preserves_user_multimodal_content() -> None: + """Semantic multimodal content on user messages must survive handoff routing (#7822). + + Tool-control payloads are runtime-only and must still be dropped, and assistant + messages must stay text-only because providers treat multimodal items as + input-only and reject them when replayed on assistant turns. + """ + user_image = Content.from_uri(uri="https://example.com/damage.png", media_type="image/png") + user_inline_data = Content.from_data(data=b"\x89PNG-fake", media_type="image/png") + user_upload = Content.from_hosted_file(file_id="file-abc123") + user_store = Content.from_hosted_vector_store(vector_store_id="vs-xyz789") + + conversation = [ + Message( + role="user", + contents=[ + "My order arrived damaged, see the attached photos.", + user_image, + user_inline_data, + user_upload, + user_store, + ], + ), + Message( + role="assistant", + contents=[ + Content.from_text(text="Triage Agent: Routing you to Refund."), + # Providers reject input-only multimodal parts replayed on assistant turns. + Content.from_uri(uri="https://example.com/generated.png", media_type="image/png"), + Content.from_function_call(call_id="handoff-call-1", name="handoff_to_refund_agent"), + ], + ), + Message(role="tool", contents=[Content.from_function_result(call_id="handoff-call-1", result="ok")]), + ] + + cleaned = clean_conversation_for_handoff(conversation) + assert [message.role for message in cleaned] == ["user", "assistant"] + + cleaned_user = cleaned[0] + assert [content.type for content in cleaned_user.contents] == [ + "text", + "uri", + "data", + "hosted_file", + "hosted_vector_store", + ] + assert cleaned_user.contents[1].uri == "https://example.com/damage.png" + assert cleaned_user.contents[2].uri is not None + assert cleaned_user.contents[2].uri.startswith("data:image/png;base64,") + assert cleaned_user.contents[3].file_id == "file-abc123" + assert cleaned_user.contents[4].vector_store_id == "vs-xyz789" + + cleaned_assistant = cleaned[1] + assert [content.type for content in cleaned_assistant.contents] == ["text"] + assert cleaned_assistant.text == "Triage Agent: Routing you to Refund." + + async def test_autonomous_mode_yields_output_without_user_request(): """Ensure autonomous interaction mode yields output without requesting user input.""" triage = MockHandoffAgent(name="triage", handoff_to="specialist") diff --git a/python/packages/orchestrations/tests/test_sequential.py b/python/packages/orchestrations/tests/test_sequential.py index 222eda57ef6..39561df34ff 100644 --- a/python/packages/orchestrations/tests/test_sequential.py +++ b/python/packages/orchestrations/tests/test_sequential.py @@ -254,6 +254,80 @@ async def test_sequential_checkpoint_resume_round_trip() -> None: assert baseline_text == resumed_text +async def test_sequential_handoff_forwards_user_multimodal_content() -> None: + """Multimodal user input must reach downstream agents after history cleanup (#7822).""" + + class _MultimodalInspectorAgent(BaseAgent): + """Captures the content types of the messages it receives.""" + + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[False] = ..., + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]]: ... + @overload + def run( + self, + messages: AgentRunInputs | None = ..., + *, + stream: Literal[True], + **kwargs: Any, + ) -> ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: ... + + def run( + self, + messages: AgentRunInputs | None = None, + *, + stream: bool = False, + **kwargs: Any, + ) -> Awaitable[AgentResponse[Any]] | ResponseStream[AgentResponseUpdate, AgentResponse[Any]]: + # AgentRunInputs also permits a single str/Content/Message, so narrow to the + # sequence of Message objects that SequentialBuilder supplies before iterating. + assert isinstance(messages, Sequence) and not isinstance(messages, str) + received = [m for m in messages if isinstance(m, Message)] + seen_types = sorted({c.type for m in received for c in m.contents}) + seen_uris = [c.uri for m in received for c in m.contents if c.type == "uri"] + summary = f"types={seen_types} uris={seen_uris}" + + if stream: + + async def _stream() -> AsyncIterable[AgentResponseUpdate]: + yield AgentResponseUpdate(contents=[Content.from_text(text=summary)]) + + return ResponseStream(_stream(), finalizer=AgentResponse.from_updates) + + async def _run() -> AgentResponse: + return AgentResponse(messages=[Message("assistant", [summary])]) + + return _run() + + echo = _EchoAgent(id="agent1", name="A1") + inspector = _MultimodalInspectorAgent(id="inspector", name="Inspector") + wf = SequentialBuilder(participants=[echo, inspector]).build() + + request = Message( + "user", + [ + Content.from_text(text="Please review this screenshot."), + Content.from_uri(uri="https://example.com/screenshot.png", media_type="image/png"), + ], + ) + output_events = [ev async for ev in wf.run(request, stream=True) if ev.type == "output"] + + assert len(output_events) == 1 + output_data = output_events[0].data + final_text = ( + " ".join(m.text for m in output_data.messages) + if isinstance(output_data, AgentResponse) + else (output_data.text or "") + ) + assert "'uri'" in final_text + assert "https://example.com/screenshot.png" in final_text + + async def test_sequential_checkpoint_runtime_only() -> None: """Test checkpointing configured ONLY at runtime, not at build time.""" storage = InMemoryCheckpointStorage() From 79cf8901f07d952806b2e34794f23b687228d3bb Mon Sep 17 00:00:00 2001 From: emme1t <149944796+emme1t@users.noreply.github.com> Date: Mon, 21 Sep 2026 07:30:54 +0000 Subject: [PATCH 18/30] Python: Copy only the requested in-memory search page (#8544) --- .../core/agent_framework/_in_memory.py | 4 ++-- .../core/tests/core/test_in_memory.py | 24 +++++++++++++++++++ 2 files changed, 26 insertions(+), 2 deletions(-) diff --git a/python/packages/core/agent_framework/_in_memory.py b/python/packages/core/agent_framework/_in_memory.py index 3ca22163a58..01b5ef6d448 100644 --- a/python/packages/core/agent_framework/_in_memory.py +++ b/python/packages/core/agent_framework/_in_memory.py @@ -389,14 +389,14 @@ async def _inner_search( ) from exc if score_threshold is not None and not comparison(score, score_threshold): continue - results.append({"record": deepcopy(record), "score": score}) + results.append({"record": record, "score": score}) results.sort( key=lambda result: cast(float, result["score"]), reverse=distance_function in _DESCENDING_DISTANCE_FUNCTIONS, ) total_count = len(results) return SearchResults( - results[skip : skip + top], + deepcopy(results[skip : skip + top]), metadata={"in_memory_total_count": total_count}, ) diff --git a/python/packages/core/tests/core/test_in_memory.py b/python/packages/core/tests/core/test_in_memory.py index ca72fdcef61..6477548c689 100644 --- a/python/packages/core/tests/core/test_in_memory.py +++ b/python/packages/core/tests/core/test_in_memory.py @@ -167,6 +167,30 @@ async def test_in_memory_get_filters_before_ordering_and_paging() -> None: assert results == [Document("one", "Luxury hotel", "travel", 5, ["wifi", "pool"], "featured")] +@pytest.mark.parametrize("include_vectors", [False, True]) +async def test_in_memory_search_page_is_detached_from_stored_records(include_vectors: bool) -> None: + collection = await _create_collection() + results = await collection.search(vector=[1.0, 0.0], skip=1, top=1, include_vectors=include_vectors) + + assert results.metadata == {"in_memory_total_count": 2} + rows = [result async for result in results] + assert len(rows) == 1 + record = rows[0]["record"] + assert record.id == "two" + assert rows[0]["score"] == 0.0 + record.tags.append("changed") + if include_vectors: + assert record.vector is not None + assert record.vector == [0.0, 1.0] + record.vector[0] = 99.0 + else: + assert record.vector is None + + assert await collection.get(["two"], include_vectors=True) == [DOCUMENTS[1]] + next_results = await collection.search(vector=[1.0, 0.0], skip=1, top=1, include_vectors=True) + assert [result["record"] async for result in next_results] == [DOCUMENTS[1]] + + async def test_in_memory_generates_missing_string_keys() -> None: definition = VectorStoreCollectionDefinition( [ From ec69020acf85460f1d8c2d7dc118cf11d405f3f7 Mon Sep 17 00:00:00 2001 From: Ruiqi Wang <107093344+RachelWanggg@users.noreply.github.com> Date: Mon, 21 Sep 2026 07:31:05 +0000 Subject: [PATCH 19/30] Python: Surface switch-case condition errors instead of routing to the default branch (#8490) * Python: surface switch-case condition errors instead of routing to default SwitchCaseEdgeGroup wrapped every case predicate in a bare `except Exception` that only logged a warning, so a predicate that raised was treated exactly like one that returned False: the message fell through to the default branch and the workflow completed successfully. A broken routing predicate became silently wrong routing rather than a visible failure. This contradicted `Edge.should_route`, which documents that predicate errors are deliberately allowed to surface "to avoid masking logic bugs", and made the existing `FanOutEdgeRunner` error path (span status EXCEPTION, re-raise) unreachable for switch-case groups, so the failures were missing from telemetry too. The block was marked `# pragma: no cover`. Also align `FanOutEdgeRunner` with `SingleEdgeRunner`, which checks `_can_handle` before evaluating a condition: drop messages no target can handle before running the selection function. Without this, removing the catch would turn an undeliverable message into a raised AttributeError instead of a type-mismatch drop. Fixes #8489 Co-Authored-By: Claude Opus 5 * Python: drop target-mismatched messages before the fan-out selection function The runner fans every message out to all of the source's edge runners and gathers them with `gather_cancelling_siblings_on_error`. `FanOutEdgeRunner` checked `message.target_id` only after running the selection function, so a message addressed to an executor reached through a different edge still had this group's selection function evaluated against it - and a raise there cancelled the sibling runner that was actually delivering the message. Check `message.target_id` against `_target_map` first and return DROPPED_TARGET_MISMATCH, ahead of the `_can_handle` check, matching `SingleEdgeRunner`, which checks the target and then `_can_handle` before evaluating `Edge.should_route`. Co-Authored-By: Claude Opus 5 --------- Co-authored-by: Claude Opus 5 --- .../core/agent_framework/_workflows/_edge.py | 11 +- .../_workflows/_edge_runner.py | 23 ++++ .../packages/core/tests/workflow/test_edge.py | 107 ++++++++++++++++++ 3 files changed, 136 insertions(+), 5 deletions(-) diff --git a/python/packages/core/agent_framework/_workflows/_edge.py b/python/packages/core/agent_framework/_workflows/_edge.py index 79ca09d990e..5a65b0563bf 100644 --- a/python/packages/core/agent_framework/_workflows/_edge.py +++ b/python/packages/core/agent_framework/_workflows/_edge.py @@ -863,11 +863,12 @@ def selection_func(message: Any, targets: list[str]) -> list[str]: for case in cases: if isinstance(case, SwitchCaseEdgeGroupDefault): return [case.target_id] - try: - if case.condition(message): - return [case.target_id] - except Exception as exc: # pragma: no cover - defensive logging - logger.warning("Error evaluating condition for case %s: %s", case.target_id, exc) + # Errors raised by a case predicate deliberately surface to the caller, matching + # `Edge.should_route`. Swallowing them would route the message to the default + # branch, turning a broken predicate into silent misrouting rather than a + # visible failure. `FanOutEdgeRunner` records the error on the edge-group span. + if case.condition(message): + return [case.target_id] raise RuntimeError("No matching case found in SwitchCaseEdgeGroup") target_ids = [case.target_id for case in cases] diff --git a/python/packages/core/agent_framework/_workflows/_edge_runner.py b/python/packages/core/agent_framework/_workflows/_edge_runner.py index e3bc14e64ab..7db1af2dbb3 100644 --- a/python/packages/core/agent_framework/_workflows/_edge_runner.py +++ b/python/packages/core/agent_framework/_workflows/_edge_runner.py @@ -255,6 +255,29 @@ async def send_message( source_span_ids=message.source_span_ids, ) as span: try: + # Drop messages this group cannot deliver before running the selection function, so + # a selection function is only ever asked about a message this group could route. + # `SingleEdgeRunner` applies the same ordering, checking the target and + # `_can_handle` before `Edge.should_route`. + # + # The target check matters beyond saving work: the runner fans every message out to + # all of the source's edge runners and cancels sibling deliveries when one raises, + # so evaluating a selection function for a message addressed to an executor outside + # this group could cancel that message's real delivery. + if message.target_id and message.target_id not in self._target_map: + span.set_attributes({ + OtelAttr.EDGE_GROUP_DELIVERED: False, + OtelAttr.EDGE_GROUP_DELIVERY_STATUS: EdgeGroupDeliveryStatus.DROPPED_TARGET_MISMATCH.value, + }) + return False + + if not any(self._can_handle(target_id, message) for target_id in self._target_ids): + span.set_attributes({ + OtelAttr.EDGE_GROUP_DELIVERED: False, + OtelAttr.EDGE_GROUP_DELIVERY_STATUS: EdgeGroupDeliveryStatus.DROPPED_TYPE_MISMATCH.value, + }) + return False + selection_results = ( self._selection_func(message.data, self._target_ids) if self._selection_func else self._target_ids ) diff --git a/python/packages/core/tests/workflow/test_edge.py b/python/packages/core/tests/workflow/test_edge.py index 6d60abeb8a4..f32f6f9ec70 100644 --- a/python/packages/core/tests/workflow/test_edge.py +++ b/python/packages/core/tests/workflow/test_edge.py @@ -1389,6 +1389,113 @@ async def test_switch_case_edge_group_send_message() -> None: assert mock_send.call_count == 1 +def test_switch_case_edge_group_condition_error_propagates() -> None: + """A failing case condition surfaces instead of falling through to the default.""" + source = MockExecutor(id="source_executor") + target1 = MockExecutor(id="target_executor_1") + target2 = MockExecutor(id="target_executor_2") + + def broken_condition(message: MockMessage) -> bool: + raise ValueError("condition is broken") + + edge_group = SwitchCaseEdgeGroup( + source_id=source.id, + cases=[ + SwitchCaseEdgeGroupCase(condition=broken_condition, target_id=target1.id), + SwitchCaseEdgeGroupDefault(target_id=target2.id), + ], + ) + + assert edge_group._selection_func is not None # type: ignore[reportPrivateUsage] + with pytest.raises(ValueError, match="condition is broken"): + edge_group._selection_func(MockMessage(data=1), [target1.id, target2.id]) # type: ignore[reportPrivateUsage] + + +async def test_switch_case_edge_group_send_message_condition_error_propagates() -> None: + """A failing case condition surfaces from send_message and delivers nothing.""" + source = MockExecutor(id="source_executor") + target1 = MockExecutor(id="target_executor_1") + target2 = MockExecutor(id="target_executor_2") + + def broken_condition(message: MockMessage) -> bool: + raise ValueError("condition is broken") + + edge_group = SwitchCaseEdgeGroup( + source_id=source.id, + cases=[ + SwitchCaseEdgeGroupCase(condition=broken_condition, target_id=target1.id), + SwitchCaseEdgeGroupDefault(target_id=target2.id), + ], + ) + executors: dict[str, Executor] = {source.id: source, target1.id: target1, target2.id: target2} + edge_runner = create_edge_runner(edge_group, executors) + + message = WorkflowMessage(data=MockMessage(data=1), source_id=source.id) + + with patch("agent_framework._workflows._edge_runner.EdgeRunner._execute_on_target") as mock_send: + with pytest.raises(ValueError, match="condition is broken"): + await edge_runner.send_message(message, State(), InProcRunnerContext()) + + assert mock_send.call_count == 0 + + +async def test_fan_out_edge_group_send_message_with_target_outside_group() -> None: + """A message addressed to an executor outside the group never reaches the selection function.""" + source = MockExecutor(id="source_executor") + target1 = MockExecutor(id="target_executor_1") + target2 = MockExecutor(id="target_executor_2") + + def broken_condition(message: MockMessage) -> bool: + raise ValueError("condition is broken") + + edge_group = SwitchCaseEdgeGroup( + source_id=source.id, + cases=[ + SwitchCaseEdgeGroupCase(condition=broken_condition, target_id=target1.id), + SwitchCaseEdgeGroupDefault(target_id=target2.id), + ], + ) + executors: dict[str, Executor] = {source.id: source, target1.id: target1, target2.id: target2} + edge_runner = create_edge_runner(edge_group, executors) + + # RunnerImpl fans every message out to all of the source's edge runners, so a message + # addressed to an executor reached through a different edge still arrives here. It must be + # dropped as a target mismatch, not evaluated -- raising would cancel its real delivery. + message = WorkflowMessage(data=MockMessage(data=1), source_id=source.id, target_id="unrelated_executor") + + success = await edge_runner.send_message(message, State(), InProcRunnerContext()) + + assert success is False + + +async def test_fan_out_edge_group_send_message_with_unhandleable_data() -> None: + """A message no target can handle is dropped before the selection function runs.""" + source = MockExecutor(id="source_executor") + target1 = MockExecutor(id="target_executor_1") + target2 = MockExecutor(id="target_executor_2") + + calls: list[Any] = [] + + def selection_func(message: Any, targets: list[str]) -> list[str]: + calls.append(message) + return targets + + edge_group = FanOutEdgeGroup( + source_id=source.id, + target_ids=[target1.id, target2.id], + selection_func=selection_func, + ) + executors: dict[str, Executor] = {source.id: source, target1.id: target1, target2.id: target2} + edge_runner = create_edge_runner(edge_group, executors) + + message = WorkflowMessage(data="invalid_data", source_id=source.id) + + success = await edge_runner.send_message(message, State(), InProcRunnerContext()) + + assert success is False + assert calls == [] + + async def test_switch_case_edge_group_send_message_with_invalid_target() -> None: """Test sending a message through a switch case edge group with an invalid target.""" source = MockExecutor(id="source_executor") From 2d85a9014d5f7c1349d65efebc51f8a0b7dea48b Mon Sep 17 00:00:00 2001 From: WhaleTech Date: Mon, 21 Sep 2026 07:31:16 +0000 Subject: [PATCH 20/30] Python: preserve AgentResponse metadata in WorkflowAgent streaming (#8464) * Python: preserve AgentResponse metadata in WorkflowAgent streaming * Python: preserve agent ID in response aggregation --------- Co-authored-by: WhaleTech <304937387+ryo-whaletech@users.noreply.github.com> --- .../packages/core/agent_framework/_types.py | 2 + .../core/agent_framework/_workflows/_agent.py | 5 +++ python/packages/core/tests/core/test_types.py | 10 +++++ .../tests/workflow/test_workflow_agent.py | 40 +++++++++++++++++++ 4 files changed, 57 insertions(+) diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py index eef2e504259..442e676f986 100644 --- a/python/packages/core/agent_framework/_types.py +++ b/python/packages/core/agent_framework/_types.py @@ -2103,6 +2103,8 @@ def _process_update(response: ChatResponse | AgentResponse, update: ChatResponse response.finish_reason = update.finish_reason if update.model is not None: response.model = update.model + if isinstance(response, AgentResponse) and isinstance(update, AgentResponseUpdate) and update.agent_id is not None: + response.agent_id = update.agent_id if ( isinstance(response, AgentResponse) and isinstance(update, AgentResponseUpdate) diff --git a/python/packages/core/agent_framework/_workflows/_agent.py b/python/packages/core/agent_framework/_workflows/_agent.py index ecfc00265f0..509a3379435 100644 --- a/python/packages/core/agent_framework/_workflows/_agent.py +++ b/python/packages/core/agent_framework/_workflows/_agent.py @@ -685,6 +685,11 @@ def _convert_workflow_event_to_agent_response_updates( raw_representation=msg, ) ) + if updates: + updates[-1].agent_id = data.agent_id + updates[-1].finish_reason = data.finish_reason + updates[-1].continuation_token = data.continuation_token + updates[-1].additional_properties = dict(data.additional_properties) return updates if isinstance(data, Message): return [ diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py index 80843c5e0f8..b01128b350c 100644 --- a/python/packages/core/tests/core/test_types.py +++ b/python/packages/core/tests/core/test_types.py @@ -1753,6 +1753,16 @@ def test_agent_run_response_from_updates(agent_response_update: AgentResponseUpd assert response.text == "Test contentTest content" +def test_agent_run_response_from_updates_uses_last_non_none_agent_id() -> None: + response = AgentResponse.from_updates([ + AgentResponseUpdate(agent_id="first-agent"), + AgentResponseUpdate(agent_id="source-agent"), + AgentResponseUpdate(agent_id=None), + ]) + + assert response.agent_id == "source-agent" + + def test_agent_run_response_str_method(chat_message: Message) -> None: response = AgentResponse(messages=chat_message) assert str(response) == "Hello" diff --git a/python/packages/core/tests/workflow/test_workflow_agent.py b/python/packages/core/tests/workflow/test_workflow_agent.py index bd2c1e6a2df..0ef70ca2f6e 100644 --- a/python/packages/core/tests/workflow/test_workflow_agent.py +++ b/python/packages/core/tests/workflow/test_workflow_agent.py @@ -900,6 +900,46 @@ async def metadata_executor(messages: list[Message], ctx: WorkflowContext[Never, assert update.continuation_token == {"token": "resume-token"} assert update.additional_properties == {"provider_marker": "preserve-me"} + async def test_workflow_as_agent_stream_preserves_response_metadata(self) -> None: + """Test that streaming preserves metadata from an AgentResponse output.""" + + @executor + async def metadata_executor(messages: list[Message], ctx: WorkflowContext[Never, AgentResponse]) -> None: # type: ignore[valid-type] + await ctx.yield_output( + AgentResponse( + messages=[ + Message(role="assistant", contents=["first"]), + Message(role="assistant", contents=["second"]), + ], + agent_id="source-agent", + response_id="source-response", + finish_reason="length", + continuation_token=cast(Any, {"token": "response-resume-token"}), + additional_properties={"provider_marker": "preserve-response"}, + ) + ) + + workflow = WorkflowBuilder(start_executor=metadata_executor).build() + agent = workflow.as_agent("response-metadata-test-agent") + + stream = agent.run("hello", stream=True) + updates = [update async for update in stream] + final_response = await stream.get_final_response() + + assert [update.text for update in updates] == ["first", "second"] + assert updates[0].agent_id is None + assert updates[0].finish_reason is None + assert updates[0].continuation_token is None + assert updates[0].additional_properties is None + assert updates[-1].agent_id == "source-agent" + assert updates[-1].finish_reason == "length" + assert updates[-1].continuation_token == {"token": "response-resume-token"} + assert updates[-1].additional_properties == {"provider_marker": "preserve-response"} + assert final_response.agent_id == "source-agent" + assert final_response.finish_reason == "length" + assert final_response.continuation_token == {"token": "response-resume-token"} + assert final_response.additional_properties == {"provider_marker": "preserve-response"} + async def test_workflow_as_agent_stream_preserves_custom_finish_reason(self) -> None: """Test that a non-literal finish_reason is forwarded unchanged. From 823e021736c92a9cc1997191053107d61a0dc861 Mon Sep 17 00:00:00 2001 From: Sunhy <58774225+Shy7777@users.noreply.github.com> Date: Mon, 21 Sep 2026 07:41:24 +0000 Subject: [PATCH 21/30] Python: preserve native keys in filtered vector delete tools (#8535) --- .../packages/core/agent_framework/_vectors.py | 3 +- .../tests/mongodb/test_vector_store.py | 41 +++++++++++++++++++ 2 files changed, 42 insertions(+), 2 deletions(-) diff --git a/python/packages/core/agent_framework/_vectors.py b/python/packages/core/agent_framework/_vectors.py index 36c0eeffb8b..4849a38da0a 100644 --- a/python/packages/core/agent_framework/_vectors.py +++ b/python/packages/core/agent_framework/_vectors.py @@ -2394,8 +2394,7 @@ async def delete_tool(keys: Any) -> dict[str, Any]: top=len(validated_keys), ) keys_to_delete = [ - cast( - KeyT, + collection.key_from_json( _encode_vector_tool_record(collection, record, include_vectors=False)[ collection.definition.key_name ], diff --git a/python/packages/mongodb/tests/mongodb/test_vector_store.py b/python/packages/mongodb/tests/mongodb/test_vector_store.py index 3b205feb2df..331d662b9b0 100644 --- a/python/packages/mongodb/tests/mongodb/test_vector_store.py +++ b/python/packages/mongodb/tests/mongodb/test_vector_store.py @@ -413,6 +413,47 @@ async def test_object_id_keys_round_trip_through_crud_tools(mongo_mocks, cursor_ native_collection.delete_many.assert_awaited_with({"_id": {"$in": [ObjectId(key)]}}) +@pytest.mark.parametrize("has_match", [True, False]) +async def test_filtered_delete_tool_preserves_object_id_keys(mongo_mocks, cursor_factory, has_match): + client, _, native_collection = mongo_mocks + definition = VectorStoreCollectionDefinition([ + VectorStoreField("key", name="id", type_="ObjectId"), + VectorStoreField("data", name="tenant", type_="str", storage_name="tenant_id", is_indexed=True), + ]) + collection = MongoDBCollection( + dict, + definition=definition, + collection_name="scoped_tool_objects", + async_client=client, + database_name="vectors", + ) + key, other_key = ObjectId(), ObjectId() + native_collection.find.return_value = cursor_factory([{"_id": key, "tenant_id": "tenant-a"}] if has_match else []) + delete_tool = create_delete_tool(collection, filter=Filter("tenant", "eq", "tenant-a")) + + result = await delete_tool.invoke(arguments={"keys": [str(key), str(other_key)]}, skip_parsing=True) + + assert native_collection.find.call_args.args[0] == { + "$expr": { + "$and": [ + { + "$and": [ + {"$eq": [{"$type": "$tenant_id"}, "string"]}, + {"$eq": ["$tenant_id", {"$literal": "tenant-a"}]}, + ] + }, + {"$and": [{"$eq": [{"$type": "$_id"}, "objectId"]}, {"$in": ["$_id", {"$literal": [key, other_key]}]}]}, + ] + } + } + if has_match: + native_collection.delete_many.assert_awaited_once_with({"_id": {"$in": [key]}}) + assert result == {"processed_keys": [str(key)]} + else: + native_collection.delete_many.assert_not_awaited() + assert result == {"processed_keys": []} + + async def test_typed_object_id_requires_and_supports_custom_codec(mongo_mocks, cursor_factory): client, _, native_collection = mongo_mocks From 08ba0a997c40478726850ced88e818628fa584c0 Mon Sep 17 00:00:00 2001 From: Jose Alvarez Date: Mon, 21 Sep 2026 08:08:03 +0000 Subject: [PATCH 22/30] Python: [BREAKING] bound PowerFx state construction (#8511) * Python: bound PowerFx state construction Validate structural budgets before declarative state copies and PowerFx symbol conversion. Preserve copy isolation and temporary bindings, reject budget failures explicitly, and add focused boundary regressions. Fixed limits and the new Core hook require compatibility and dependency-floor review before release. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: bound PowerFx state construction Validate structural budgets before declarative state copies and PowerFx symbol conversion. Preserve copy isolation and temporary bindings, reject budget failures explicitly, and add focused boundary regressions. Fixed limits and the new Core hook require compatibility and dependency-floor review before release. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> * Python: keep PowerFx limit documentation near implementation Remove the detailed package README section and document per-traversal counting next to the budget implementation. Preserve the limits, runtime behavior, and method error documentation. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> --- .../core/agent_framework/_workflows/_state.py | 11 + .../core/tests/workflow/test_state.py | 37 +++ .../_workflows/_declarative_base.py | 55 ++-- .../_workflows/_powerfx_limits.py | 76 ++++++ .../_workflows/_state.py | 27 +- .../declarative/tests/test_powerfx_safe.py | 238 ++++++++++++++++++ 6 files changed, 423 insertions(+), 21 deletions(-) create mode 100644 python/packages/declarative/agent_framework_declarative/_workflows/_powerfx_limits.py diff --git a/python/packages/core/agent_framework/_workflows/_state.py b/python/packages/core/agent_framework/_workflows/_state.py index 64759da72c4..136b70de14e 100644 --- a/python/packages/core/agent_framework/_workflows/_state.py +++ b/python/packages/core/agent_framework/_workflows/_state.py @@ -1,6 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. import copy +from collections.abc import Callable from typing import Any @@ -70,6 +71,16 @@ def has(self, key: str) -> bool: return self._pending[key] is not _DeleteSentinel return key in self._committed + def _validate(self, key: str, validator: Callable[[Any], None]) -> None: + """Validate a stored value before copying it. + + The internal validator must not mutate or retain the value. Missing and + pending-deleted keys are not validated, matching ``get`` visibility. + """ + value = self._pending.get(key, self._committed.get(key, _DeleteSentinel)) + if value is not _DeleteSentinel: + validator(value) + def delete(self, key: str) -> None: """Mark a key for deletion. diff --git a/python/packages/core/tests/workflow/test_state.py b/python/packages/core/tests/workflow/test_state.py index e233eb976f2..6b6a52c6084 100644 --- a/python/packages/core/tests/workflow/test_state.py +++ b/python/packages/core/tests/workflow/test_state.py @@ -2,6 +2,8 @@ """Unit tests for the State class superstep caching behavior.""" +from unittest.mock import MagicMock + import pytest from agent_framework import SecretString @@ -68,6 +70,41 @@ def test_get_with_default(self) -> None: assert state.get("missing") is None assert state.get("missing", "default") == "default" + def test_validation_uses_pending_then_committed_values(self) -> None: + state = State() + state.set("key", {"value": "committed"}) + state.commit() + validator = MagicMock() + + state._validate("key", validator) + validator.assert_called_once_with({"value": "committed"}) + validator.reset_mock() + state.set("key", {"value": "pending"}) + state._validate("key", validator) + validator.assert_called_once_with({"value": "pending"}) + + def test_validation_skips_missing_and_pending_deleted_values(self) -> None: + state = State() + state.set("key", "value") + state.commit() + state.delete("key") + validator = MagicMock() + + state._validate("missing", validator) + state._validate("key", validator) + + validator.assert_not_called() + + def test_validation_failure_leaves_state_unchanged(self) -> None: + state = State() + state.set("key", {"value": "original"}) + validator = MagicMock(side_effect=ValueError("invalid")) + + with pytest.raises(ValueError, match="invalid"): + state._validate("key", validator) + + assert state.get("key") == {"value": "original"} + def test_has_returns_true_for_existing_key(self) -> None: state = State() state.set("key", "value") diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py b/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py index 402baea1868..a9eb95473d9 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_declarative_base.py @@ -46,6 +46,7 @@ from agent_framework._workflows._state import State from ._errors import DeclarativeWorkflowError +from ._powerfx_limits import _PowerFxStateBudget, _validate_powerfx_state # pyright: ignore[reportPrivateUsage] try: from powerfx import Engine @@ -169,6 +170,8 @@ def __post_init__(self) -> None: # contents of ``values`` / ``referenced_names``: caller mutations # to the original objects after construction cannot leak into # ``resolve()``. + _validate_powerfx_state(self.values) + _validate_powerfx_state(self.referenced_names) object.__setattr__(self, "values", MappingProxyType(dict(self.values))) object.__setattr__(self, "referenced_names", frozenset(self.referenced_names)) @@ -181,6 +184,8 @@ def resolve(self) -> dict[str, str]: unrelated environment variables never enter the PowerFx scope. Configuration values always win over the environment fallback. """ + _validate_powerfx_state(self.values) + _validate_powerfx_state(self.referenced_names) resolved = {name: str(value) for name, value in self.values.items()} if self.restrict_to_configuration: return resolved @@ -314,10 +319,16 @@ def _make_powerfx_safe(value: Any) -> Any: Returns: A PowerFx-safe representation of the value + + Raises: + ValueError: If the input or converted symbols exceed the state budget. """ - if value is None: - return value + _validate_powerfx_state(value) + return _convert_powerfx_value(value, _PowerFxStateBudget(), 0) + +def _convert_powerfx_value(value: Any, budget: _PowerFxStateBudget, depth: int) -> Any: + """Convert an already bounded value without restarting its traversal budget.""" # Enum coercion must run BEFORE the primitive type check: many MAF # enums (e.g. MessageRole) are ``str``-subclass enums, so they pass # ``isinstance(v, str)`` but pythonnet refuses to convert them to @@ -326,25 +337,27 @@ def _make_powerfx_safe(value: Any) -> Any: # to the underlying value (or its string form) so PowerFx sees a # plain ``str``/``int``. if isinstance(value, Enum): - return _make_powerfx_safe(value.value) + return _convert_powerfx_value(value.value, budget, depth) + + if not isinstance(value, (*_POWERFX_SAFE_TYPES, dict, list)): + if hasattr(value, "__dict__"): + return _convert_powerfx_value(vars(value), budget, depth) + value = str(value) + budget.consume(value, depth) if isinstance(value, _POWERFX_SAFE_TYPES): return value if isinstance(value, dict): value_dict = cast(Mapping[Any, Any], value) - return {str(k): _make_powerfx_safe(v) for k, v in value_dict.items()} - - if isinstance(value, list): - value_list = cast(list[Any], value) - return [_make_powerfx_safe(item) for item in value_list] - - # Try to convert objects with __dict__ or dataclass-style attributes - if hasattr(value, "__dict__"): - return _make_powerfx_safe(vars(value)) + result: dict[str, Any] = {} + for key, member in value_dict.items(): + name = str(key) + budget.consume(name, depth + 1) + result[name] = _convert_powerfx_value(member, budget, depth + 1) + return result - # For other objects, try to convert to string representation - return str(value) + return [_convert_powerfx_value(item, budget, depth + 1) for item in cast(list[Any], value)] class DeclarativeWorkflowState: @@ -384,6 +397,7 @@ def initialize(self, inputs: Mapping[str, Any] | None = None) -> None: Args: inputs: Initial workflow inputs (become Workflow.Inputs.*) """ + _validate_powerfx_state(inputs) conversation_id = str(uuid.uuid4()) state_data: DeclarativeStateData = { "Inputs": dict(inputs) if inputs else {}, @@ -402,10 +416,11 @@ def initialize(self, inputs: Mapping[str, Any] | None = None) -> None: "Conversation": {"messages": [], "history": []}, "Custom": {}, } - self._state.set(DECLARATIVE_STATE_KEY, state_data) + self.set_state_data(state_data) def get_state_data(self) -> DeclarativeStateData: """Get the full state data dict from state.""" + self._state._validate(DECLARATIVE_STATE_KEY, _validate_powerfx_state) # pyright: ignore[reportPrivateUsage] result = self._state.get(DECLARATIVE_STATE_KEY) if result is None: # Initialize if not present @@ -421,10 +436,12 @@ def is_initialized(self) -> bool: scenarios), the start executor needs to avoid calling initialize() and clobbering the prior turn's Conversation/Local/System data. """ + self._state._validate(DECLARATIVE_STATE_KEY, _validate_powerfx_state) # pyright: ignore[reportPrivateUsage] return self._state.get(DECLARATIVE_STATE_KEY) is not None def set_state_data(self, data: DeclarativeStateData) -> None: """Set the full state data dict in state.""" + _validate_powerfx_state(data) self._state.set(DECLARATIVE_STATE_KEY, data) def get(self, path: str, default: Any = None) -> Any: @@ -617,6 +634,8 @@ def eval(self, expression: str) -> Any: Raises: RuntimeError: If the powerfx package is not installed and the expression requires PowerFx evaluation. + ValueError: If state copying or symbol conversion exceeds the + PowerFx state budget. """ if not expression: return expression @@ -940,10 +959,10 @@ def _to_powerfx_symbols(self) -> dict[str, Any]: symbols["Env"] = env_bound # Debug log the Local symbols to help diagnose type issues if local_data: - for key, value in local_data.items(): + for value in local_data.values(): logger.debug( - f"PowerFx symbol Local.{key}: type={type(value).__name__}, " - f"value_preview={str(value)[:100] if value else None}" + "PowerFx Local symbol type=%s", + type(value).__name__, ) result = _make_powerfx_safe(symbols) return cast(dict[str, Any], result) diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_powerfx_limits.py b/python/packages/declarative/agent_framework_declarative/_workflows/_powerfx_limits.py new file mode 100644 index 00000000000..96de2610caa --- /dev/null +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_powerfx_limits.py @@ -0,0 +1,76 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Structural budgets for state copying and PowerFx symbol conversion. + +Each traversal has its own budget and rejects cycles or excess with ValueError, +rather than truncating values. These limits do not bound expression execution +or application-defined Python copy/conversion hooks. +""" + +from collections.abc import Mapping +from dataclasses import dataclass +from enum import Enum +from typing import Any, cast + +_MAX_POWERFX_STATE_DEPTH = 64 +_MAX_POWERFX_STATE_NODES = 10_000 +_MAX_POWERFX_STATE_TEXT_SIZE = 1_048_576 + + +class _PowerFxStateLimitError(ValueError): + """State cannot be copied or marshalled within the PowerFx budget.""" + + +@dataclass +class _PowerFxStateBudget: + """Count values, containers, and mapping keys, including repeated aliases. + + Depth starts at zero. Text size counts string characters and binary bytes, + not encoded size or total memory. + """ + + nodes: int = 0 + text_size: int = 0 + + def consume(self, item: Any, depth: int) -> None: + self.nodes += 1 + if self.nodes > _MAX_POWERFX_STATE_NODES: + raise _PowerFxStateLimitError("PowerFx state exceeds the node budget") + if depth > _MAX_POWERFX_STATE_DEPTH: + raise _PowerFxStateLimitError("PowerFx state exceeds the depth budget") + if isinstance(item, (str, bytes, bytearray)): + self.text_size += len(item) + if self.text_size > _MAX_POWERFX_STATE_TEXT_SIZE: + raise _PowerFxStateLimitError("PowerFx state exceeds the text size budget") + + +def _validate_powerfx_state(value: Any) -> None: # pyright: ignore[reportUnusedFunction] + """Reject cyclic or over-budget data before copying or conversion.""" + budget = _PowerFxStateBudget() + active: set[int] = set() + + def visit(item: Any, depth: int) -> None: + budget.consume(item, depth) + if item is None or isinstance(item, (str, bytes, bytearray, bool, int, float)): + return + + identity = id(item) + if identity in active: + raise _PowerFxStateLimitError("PowerFx state contains a cycle") + active.add(identity) + try: + if isinstance(item, Enum): + visit(item.value, depth + 1) + elif isinstance(item, Mapping): + for key, member in cast(Mapping[Any, Any], item).items(): + visit(key, depth + 1) + visit(member, depth + 1) + elif isinstance(item, (list, tuple, set, frozenset)): + for member in cast(list[Any] | tuple[Any, ...] | set[Any] | frozenset[Any], item): + visit(member, depth + 1) + elif hasattr(item, "__dict__"): + visit(vars(item), depth + 1) + finally: + active.remove(identity) + + visit(value, 0) diff --git a/python/packages/declarative/agent_framework_declarative/_workflows/_state.py b/python/packages/declarative/agent_framework_declarative/_workflows/_state.py index 9ba9dd964b2..73f06230ad9 100644 --- a/python/packages/declarative/agent_framework_declarative/_workflows/_state.py +++ b/python/packages/declarative/agent_framework_declarative/_workflows/_state.py @@ -16,6 +16,8 @@ from collections.abc import Mapping from typing import Any, cast +from ._powerfx_limits import _PowerFxStateLimitError, _validate_powerfx_state # pyright: ignore[reportPrivateUsage] + try: from powerfx import Engine @@ -105,6 +107,7 @@ def __init__( inputs: Initial inputs to the workflow. These become available as Workflow.Inputs.* and are immutable after initialization. """ + _validate_powerfx_state(inputs) self._inputs: dict[str, Any] = dict(inputs) if inputs else {} self._local: dict[str, Any] = {} self._outputs: dict[str, Any] = {} @@ -329,7 +332,19 @@ def to_powerfx_symbols(self) -> dict[str, Any]: Returns: A dictionary suitable for passing to PowerFx Engine.eval() + + Raises: + ValueError: If the state or projected symbols exceed the PowerFx state budget. """ + _validate_powerfx_state({ + "Inputs": self._inputs, + "Outputs": self._outputs, + "Local": self._local, + "System": self._system, + "Agent": self._agent, + "Conversation": self._conversation, + "Custom": self._custom, + }) symbols = { "Workflow": { "Inputs": dict(self._inputs), @@ -345,11 +360,12 @@ def to_powerfx_symbols(self) -> dict[str, Any]: } # Debug log the Local symbols to help diagnose type issues if self._local: - for key, value in self._local.items(): + for value in self._local.values(): logger.debug( - f"PowerFx symbol Local.{key}: type={type(value).__name__}, " - f"value_preview={str(value)[:100] if value else None}" + "PowerFx Local symbol type=%s", + type(value).__name__, ) + _validate_powerfx_state(symbols) return symbols def eval(self, expression: str) -> Any: @@ -363,6 +379,9 @@ def eval(self, expression: str) -> Any: Returns: The evaluated result, or the original expression if not a PowerFx expression + + Raises: + ValueError: If symbol construction exceeds the PowerFx state budget. """ if not expression: return expression @@ -378,6 +397,8 @@ def eval(self, expression: str) -> Any: try: symbols = self.to_powerfx_symbols() return _powerfx_engine.eval(formula, symbols=symbols) + except _PowerFxStateLimitError: + raise except Exception as exc: logger.warning(f"PowerFx evaluation failed for '{expression[:50]}': {exc}") # Fall through to simple evaluation diff --git a/python/packages/declarative/tests/test_powerfx_safe.py b/python/packages/declarative/tests/test_powerfx_safe.py index fccbd72b281..871e14cdb4a 100644 --- a/python/packages/declarative/tests/test_powerfx_safe.py +++ b/python/packages/declarative/tests/test_powerfx_safe.py @@ -10,8 +10,18 @@ pin down the Enum coercion branch so we don't regress that interop fix. """ +from dataclasses import dataclass +from decimal import Decimal from enum import Enum, IntEnum +from typing import Any +from unittest.mock import MagicMock +import pytest +from agent_framework._workflows._state import State + +from agent_framework_declarative._workflows import _declarative_base as base +from agent_framework_declarative._workflows import _powerfx_limits as limits +from agent_framework_declarative._workflows import _state as legacy from agent_framework_declarative._workflows._declarative_base import _make_powerfx_safe @@ -57,3 +67,231 @@ def test_enum_inside_list_is_coerced(): assert safe == ["user", 1] assert type(safe[0]) is str assert type(safe[1]) is int + + +@pytest.mark.parametrize("committed", [False, True]) +def test_state_depth_is_checked_before_copy_and_engine_dispatch( + monkeypatch: pytest.MonkeyPatch, committed: bool +) -> None: + """Even an expression without state references must respect the snapshot budget.""" + state = State() + workflow_state = base.DeclarativeWorkflowState(state) + workflow_state.initialize() + data = workflow_state.get_state_data() + nested: Any = "leaf" + for _ in range(65): + nested = [nested] + data["Local"]["unused"] = nested + state.set(base.DECLARATIVE_STATE_KEY, data) + if committed: + state.commit() + + engine = MagicMock() + monkeypatch.setattr(base, "Engine", engine) + deepcopy = MagicMock(side_effect=AssertionError("State was copied before validating its budget")) + monkeypatch.setattr("agent_framework._workflows._state.copy.deepcopy", deepcopy) + + with pytest.raises(ValueError, match="PowerFx state.*depth"): + workflow_state.eval("=1 + 1") + + deepcopy.assert_not_called() + engine.assert_not_called() + + +@pytest.mark.parametrize( + ("setting", "limit", "accepted", "rejected", "reason"), + [ + ("_MAX_POWERFX_STATE_DEPTH", 2, [[0]], [[[0]]], "depth"), + ("_MAX_POWERFX_STATE_NODES", 3, [0, 1], [0, 1, 2], "node"), + ("_MAX_POWERFX_STATE_TEXT_SIZE", 4, {"ab": "cd"}, {"ab": "cde"}, "text size"), + ], +) +def test_budget_boundaries( + monkeypatch: pytest.MonkeyPatch, + setting: str, + limit: int, + accepted: Any, + rejected: Any, + reason: str, +) -> None: + monkeypatch.setattr(limits, setting, limit) + assert _make_powerfx_safe(accepted) == accepted + with pytest.raises(ValueError, match=f"PowerFx state.*{reason}"): + _make_powerfx_safe(rejected) + + +def test_shared_values_count_at_each_emitted_occurrence(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(limits, "_MAX_POWERFX_STATE_NODES", 5) + shared = [1] + assert _make_powerfx_safe([shared, shared]) == [[1], [1]] + with pytest.raises(ValueError, match="node budget"): + _make_powerfx_safe([shared, shared, shared]) + + +@pytest.mark.parametrize("kind", ["list", "dict", "object"]) +def test_cycles_are_rejected(kind: str) -> None: + if kind == "list": + value: Any = [] + value.append(value) + elif kind == "dict": + value = {} + value["self"] = value + else: + + @dataclass + class Record: + child: Any = None + + value = Record() + value.child = value + with pytest.raises(ValueError, match="PowerFx state contains a cycle"): + _make_powerfx_safe(value) + + +def test_conversion_preserves_normal_data() -> None: + @dataclass + class Record: + role: _StrRole + score: Decimal + + assert _make_powerfx_safe({"message": Record(_StrRole.USER, Decimal("1.25")), 7: [None, True]}) == { + "message": {"role": "user", "score": Decimal("1.25")}, + "7": [None, True], + } + + +def test_validated_snapshot_preserves_copy_isolation() -> None: + store = State() + state = base.DeclarativeWorkflowState(store) + state.initialize({"question": "hello"}) + state.set("Local.items", [1, 2]) + store.commit() + + snapshot = state.get_state_data() + snapshot["Local"]["items"].append(3) + assert state.get("Local.items") == [1, 2] + state.set_state_data(snapshot) + assert state.get("Local.items") == [1, 2, 3] + store.discard() + assert state.get("Local.items") == [1, 2] + + +def test_budget_resets_between_conversions(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(limits, "_MAX_POWERFX_STATE_NODES", 2) + assert _make_powerfx_safe([1]) == [1] + assert _make_powerfx_safe([2]) == [2] + + +def test_configuration_is_checked_before_snapshotting(monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setattr(limits, "_MAX_POWERFX_STATE_TEXT_SIZE", 3) + with pytest.raises(ValueError, match="text size budget"): + base.DeclarativeEnvConfig(values={"name": "value"}) + + +def test_symbol_logging_does_not_format_state_values() -> None: + class Record: + def __str__(self) -> str: + raise AssertionError("Symbol logging must not format whole values") + + state = base.DeclarativeWorkflowState(State()) + state.initialize() + state.set("Local.record", Record()) + + assert state._to_powerfx_symbols()["Local"]["record"] == {} + + +def test_converted_strings_consume_one_aggregate_budget(monkeypatch: pytest.MonkeyPatch) -> None: + calls: list[None] = [] + + class Text: + __slots__ = () + + def __str__(self) -> str: + calls.append(None) + return "text" + + monkeypatch.setattr(limits, "_MAX_POWERFX_STATE_TEXT_SIZE", 7) + with pytest.raises(ValueError, match="text size budget"): + _make_powerfx_safe([Text(), Text(), Text()]) + assert len(calls) == 2 + + +def test_state_write_rejection_preserves_previous_value(monkeypatch: pytest.MonkeyPatch) -> None: + state = base.DeclarativeWorkflowState(State()) + state.initialize() + state.set("Local.value", "before") + monkeypatch.setattr(limits, "_MAX_POWERFX_STATE_DEPTH", 5) + + with pytest.raises(ValueError, match="depth budget"): + state.set("Local.value", [[[[0]]]]) + + assert state.get("Local.value") == "before" + + +def test_symbol_aliases_share_the_output_budget(monkeypatch: pytest.MonkeyPatch) -> None: + state = base.DeclarativeWorkflowState(State()) + state.initialize({"value": "ordinary input"}) + data = state.get_state_data() + size = limits._PowerFxStateBudget() + # Capture the exact small fixture's text use without depending on generated IDs. + original_consume = limits._PowerFxStateBudget.consume + + def consume(self: Any, item: Any, depth: int) -> None: + original_consume(self, item, depth) + size.text_size = self.text_size + + monkeypatch.setattr(limits._PowerFxStateBudget, "consume", consume) + limits._validate_powerfx_state(data) + monkeypatch.setattr(limits, "_MAX_POWERFX_STATE_TEXT_SIZE", size.text_size) + + with pytest.raises(ValueError, match="text size budget"): + state._to_powerfx_symbols() + + +def test_message_text_cleanup_after_symbol_budget_failure(monkeypatch: pytest.MonkeyPatch) -> None: + state = base.DeclarativeWorkflowState(State()) + state.initialize() + state.set("Local._TempMessageText0", "original") + before = state.get_state_data() + monkeypatch.setattr(state, "_eval_and_replace_message_text", lambda expression: "hello") + monkeypatch.setattr(state, "_to_powerfx_symbols", MagicMock(side_effect=limits._PowerFxStateLimitError("budget"))) + monkeypatch.setattr(base, "Engine", MagicMock()) + + with pytest.raises(ValueError, match="budget"): + state.eval("=Upper(MessageText(Local.Messages))") + + assert state.get_state_data() == before + + +def test_rejected_temporary_binding_preserves_state(monkeypatch: pytest.MonkeyPatch) -> None: + state = base.DeclarativeWorkflowState(State()) + state.initialize() + state.set("Local._TempMessageText0", "original") + before = state.get_state_data() + monkeypatch.setattr(limits, "_MAX_POWERFX_STATE_TEXT_SIZE", 400) + limits._validate_powerfx_state(before) + monkeypatch.setattr(state, "_eval_and_replace_message_text", lambda expression: "x" * 401) + engine = MagicMock() + monkeypatch.setattr(base, "Engine", engine) + + with pytest.raises(ValueError, match="text size budget"): + state.eval("=Upper(MessageText(Local.Messages))") + + assert state.get_state_data() == before + engine.assert_not_called() + + +def test_legacy_budget_failure_does_not_fall_back(monkeypatch: pytest.MonkeyPatch) -> None: + state = legacy.WorkflowState() + state.set("Local.values", [1, 2, 3]) + engine = MagicMock() + fallback = MagicMock() + monkeypatch.setattr(legacy, "_powerfx_engine", engine) + monkeypatch.setattr(state, "_eval_simple", fallback) + monkeypatch.setattr(limits, "_MAX_POWERFX_STATE_NODES", 3) + + with pytest.raises(ValueError, match="node budget"): + state.eval("=1 + 1") + + engine.eval.assert_not_called() + fallback.assert_not_called() From 04efdbfa2675ba04b4d190a8a32d29c0bba91d22 Mon Sep 17 00:00:00 2001 From: Eduard van Valkenburg Date: Mon, 21 Sep 2026 08:12:44 +0000 Subject: [PATCH 23/30] Python: Fail closed on unresolved agent-tool approvals (#8527) * Python: Fail closed on unresolved agent-tool approvals * Python: Model workflow approval as child return * Python: Route workflow delegation with structured output * Python: Reject shared approval state collisions * Python: Isolate delegated approval continuation state * Python: Isolate custom child approval state * Python: Track delegated approval ownership * Python: Isolate parent approval middleware state --- .../specs/004-python-function-calling-loop.md | 10 + .../packages/core/agent_framework/_agents.py | 202 ++++-- .../packages/core/agent_framework/_tools.py | 18 +- .../core/agent_framework/exceptions.py | 10 +- .../packages/core/tests/core/test_agents.py | 604 +++++++++++++++++- python/samples/03-workflows/README.md | 6 +- .../agent_as_tool_vs_workflow_approval.py | 194 ++++++ 7 files changed, 992 insertions(+), 52 deletions(-) create mode 100644 python/samples/03-workflows/tool-approval/agent_as_tool_vs_workflow_approval.py diff --git a/docs/specs/004-python-function-calling-loop.md b/docs/specs/004-python-function-calling-loop.md index 71dc8f59140..dc57a607cd6 100644 --- a/docs/specs/004-python-function-calling-loop.md +++ b/docs/specs/004-python-function-calling-loop.md @@ -500,6 +500,15 @@ that manually replay messages own the equivalent rule: do not resend an approval approval `Message`, approval `Content`, or an earlier returned response. - Approval-time `UserInputRequiredException` and `MiddlewareTermination` return immediately without another model call. +- `Agent.as_tool()` keeps child function approvals inside the delegated invocation. A child + `ToolApprovalMiddleware` may resolve them through runtime `auto_approval_rules`; any unresolved child function + approval does not enter the caller's approval state or model transcript. An approval-only response fails the + agent-tool invocation; a mixed response preserves its non-approval user-input requests while discarding the child + approval continuation. Interactive, delayed, or durable approval belongs in a workflow. When + `propagate_session=True`, child application-state changes merge back into the parent while framework approval and + invocation-budget state remain isolated, including approval queues stored under custom child middleware + `source_id` values. Parent and child `ToolApprovalMiddleware` instances must use distinct `source_id` values; an + overlap fails before the child runs. ### Approval control content @@ -578,6 +587,7 @@ that manually replay messages own the equivalent rule: do not resend an approval | Mixed approved/rejected batch | Every call gets one correctly correlated terminal result. | `packages/core/tests/core/test_function_invocation_logic.py::test_rejected_approval` | | Persisted approval replay | Resume executes with the prior call available. | `test_persisted_approval_messages_replay_correctly` | | Hosted approval pass-through | Hosted requests/responses are bound to the recorded provider request and are not processed as local calls. | `test_hosted_tool_approval_response`, `test_hosted_mcp_approval_response_passthrough`, `test_session_approval_binding_reconstructs_hosted_response`, `test_mixed_local_and_hosted_approval_flow` | +| Agent-tool child approval | A child `ToolApprovalMiddleware` can auto-approve runtime tool requests inside one delegated invocation; unresolved child approvals execute nothing and do not enter the caller's approval state or dispatch a same-named parent tool, including with propagated application state. Mixed batches preserve non-approval user-input requests. Shared parent and child state rejects overlapping `ToolApprovalMiddleware.source_id` values before running the child; parent approval state is neither visible nor mutable inside the child, and custom child approval queues do not leak into later delegations. | `packages/core/tests/core/test_agents.py::test_chat_agent_as_tool_auto_approves_child_tool_with_middleware`, `test_chat_agent_as_tool_fails_closed_for_unresolved_child_approval`, `test_chat_agent_as_tool_child_approval_does_not_dispatch_same_named_parent_tool`, `test_chat_agent_as_tool_preserves_non_approval_requests_from_mixed_child_batch`, `test_chat_agent_as_tool_shared_session_requires_distinct_tool_approval_source_ids`, `test_chat_agent_as_tool_isolates_custom_parent_approval_state`, `test_chat_agent_as_tool_approved_delegation_does_not_confuse_framework_approval_state`, `test_chat_agent_as_tool_does_not_restore_custom_approval_queue_on_fresh_delegation` | | Approval-time user input | Every user-input request from one approved execution returns in order with assistant role and no extra model call; the execution consumes one call-budget unit. | `packages/core/tests/core/test_harness_tool_approval.py::test_approval_resume_returns_all_user_input_requests_without_another_model_call`, `packages/core/tests/core/test_function_invocation_logic.py::test_approval_resume_user_input_counts_toward_function_call_budget` | | Mixed terminal result and follow-up input | Completed siblings remain tool-role while only follow-up input requests use assistant-role messages/updates. | `packages/core/tests/core/test_function_invocation_logic.py::test_approval_resume_separates_terminal_results_from_follow_up_requests`, `packages/openai/tests/openai/test_openai_chat_completion_client.py::test_mixed_approval_resume_roles_serialize_function_result_as_tool`, `packages/core/tests/core/test_harness_tool_approval.py::test_dynamic_policy_approval_partitions_safe_sibling_result_roles` | | Approval-time middleware termination | Terminal result returns with no extra model call in either response mode. | `packages/core/tests/core/test_function_invocation_logic.py::test_approval_resume_honors_middleware_termination` | diff --git a/python/packages/core/agent_framework/_agents.py b/python/packages/core/agent_framework/_agents.py index d9dcac20abf..379601fa256 100644 --- a/python/packages/core/agent_framework/_agents.py +++ b/python/packages/core/agent_framework/_agents.py @@ -63,7 +63,12 @@ map_chat_to_agent_update, normalize_messages, ) -from .exceptions import AgentInvalidRequestException, AgentInvalidResponseException, UserInputRequiredException +from .exceptions import ( + AgentInvalidRequestException, + AgentInvalidResponseException, + ToolExecutionException, + UserInputRequiredException, +) from .observability import AgentTelemetryLayer if sys.version_info >= (3, 13): @@ -95,6 +100,37 @@ # nested ``agent.run()`` (fresh options, its own session) keeps its own turn, # and nothing leaks into the caller's context while a stream is paused. _LOOP_ITERATION_TOKEN_KEY = "_agent_loop_iteration" # nosec B105 - a context-options key, not a credential # ruff: ignore[hardcoded-password-string] +_DELEGATED_STATE_MISSING = object() + + +def _tool_approval_source_ids(middleware: Sequence[MiddlewareTypes] | None) -> frozenset[str]: + """Return session-state keys owned by ToolApprovalMiddleware instances.""" + from ._harness._tool_approval import ToolApprovalMiddleware + + return frozenset(item.source_id for item in middleware or () if isinstance(item, ToolApprovalMiddleware)) + + +def _merge_delegated_session_state( + parent_state: MutableMapping[str, Any], + initial_child_state: Mapping[str, Any], + final_child_state: Mapping[str, Any], + *, + excluded_keys: frozenset[str], +) -> None: + """Merge child application-state changes without copying framework continuation state.""" + for key, initial_value in initial_child_state.items(): + if key in excluded_keys or key in final_child_state: + continue + if parent_state.get(key, _DELEGATED_STATE_MISSING) is initial_value: + parent_state.pop(key, None) + + for key, final_value in final_child_state.items(): + if key in excluded_keys: + continue + initial_value = initial_child_state.get(key, _DELEGATED_STATE_MISSING) + if initial_value is _DELEGATED_STATE_MISSING or final_value is not initial_value: + parent_state[key] = final_value + if TYPE_CHECKING: ResponseModelBoundT = TypeVar("ResponseModelBoundT", bound=BaseModel) @@ -624,12 +660,26 @@ def as_tool( approval_mode: Whether this delegated tool requires approval before execution. stream_callback: Optional callback for streaming responses. If provided, uses run(..., stream=True). propagate_session: If True, the parent agent's session is forwarded - to this sub-agent's ``run()`` call so both agents share the - same session. Defaults to False. + to this sub-agent's ``run()`` call. Application-state changes + propagate back to the parent, while framework approval continuation + state remains isolated. Defaults to False. The sub-agent always + receives an AgentSession so session-backed middleware can run. + When False, that session is private to this invocation. Returns: A FunctionTool that can be used as a tool by other agents. + Note: + Child function approvals are not propagated into the calling agent. + Configure ToolApprovalMiddleware with runtime auto-approval rules on + the child for immediate policy decisions. Use a workflow when approval + is interactive, delayed, or durable. + + When parent and child both use ToolApprovalMiddleware with + ``propagate_session=True``, configure distinct middleware ``source_id`` + values. The delegated call raises ToolExecutionException before running + the child when their shared session-state keys overlap. + Examples: .. code-block:: python @@ -676,39 +726,114 @@ async def _agent_wrapper(ctx: FunctionInvocationContext, **kwargs: Any) -> str: ctx: the function invocation context used **kwargs: only used to dynamically load the argument that is defined for this tool. """ - session = ctx.session if propagate_session else None - - # Create a child session that shares the parent's state dict but has - # an isolated service_session_id. This avoids mutating the parent - # session in-place, which would race under concurrent asyncio.gather - # tool invocations sharing the same session. - if session is not None: - child_session = AgentSession(session_id=session.session_id) - child_session.state = session.state # shared by reference - child_session.service_session_id = None - session = child_session - - stream = self.run( - str(kwargs.get(arg_name, "")), - stream=True, - session=session, - function_invocation_kwargs=dict(ctx.kwargs), - ) - if stream_callback is not None: - # The callback is a host-facing observer: feed it the *released* - # updates by consuming the stream, never by registering a transform - # hook on it. Hooks can end up applied to buffered content ahead of an - # egress gate's verdict (see ResponseStream.buffered_and_gated), so a - # hook-registered observer could see denied or unredacted content. - async for update in stream: - callback_result = stream_callback(update) - if isawaitable(callback_result): - await callback_result - final_response = await stream.get_final_response() - if final_response.user_input_requests: - raise UserInputRequiredException(contents=final_response.user_input_requests) - # TODO(Copilot): update once #4331 merges - return final_response.text + parent_session = ctx.session + session = AgentSession() + child_approval_source_ids = _tool_approval_source_ids(self.middleware) + parent_approval_source_ids: frozenset[str] = frozenset() + + if propagate_session and parent_session is not None: + from ._tools import _PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY # pyright: ignore[reportPrivateUsage] + + raw_parent_approval_source_ids = ctx.metadata.get(_PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY) + parent_approval_source_ids = ( + cast("frozenset[str]", raw_parent_approval_source_ids) + if isinstance(raw_parent_approval_source_ids, frozenset) + else frozenset() + ) + overlapping_source_ids = child_approval_source_ids.intersection(parent_approval_source_ids) + if overlapping_source_ids: + formatted_source_ids = ", ".join(repr(source_id) for source_id in sorted(overlapping_source_ids)) + raise ToolExecutionException( + f"Agent tool {tool_name!r} cannot share its parent session because parent and child " + f"ToolApprovalMiddleware instances use the same source_id: {formatted_source_ids}. " + "Configure distinct source_id values or set propagate_session=False." + ) + + parent_state: MutableMapping[str, Any] | None = None + initial_child_state: dict[str, Any] | None = None + excluded_state_keys: frozenset[str] = frozenset() + + # Propagate application state through a child-owned copy. Framework + # approval continuation state stays isolated so an unresolved child + # request can never become pending authority in the parent session. + if propagate_session and parent_session is not None: + from ._tools import ( + _FUNCTION_INVOCATION_BUDGET_STATE_KEY, # pyright: ignore[reportPrivateUsage] + _FUNCTION_RESULT_PAYLOAD_BUDGET_STATE_KEY, # pyright: ignore[reportPrivateUsage] + _TOOL_APPROVAL_STATE_KEY, # pyright: ignore[reportPrivateUsage] + ) + + excluded_state_keys = frozenset({ + _TOOL_APPROVAL_STATE_KEY, + _FUNCTION_INVOCATION_BUDGET_STATE_KEY, + _FUNCTION_RESULT_PAYLOAD_BUDGET_STATE_KEY, + *child_approval_source_ids, + *parent_approval_source_ids, + }) + parent_state = parent_session.state + child_state = {key: value for key, value in parent_state.items() if key not in excluded_state_keys} + initial_child_state = dict(child_state) + session = AgentSession(session_id=parent_session.session_id) + session.state = child_state + + try: + stream = self.run( + str(kwargs.get(arg_name, "")), + stream=True, + session=session, + function_invocation_kwargs=dict(ctx.kwargs), + ) + if stream_callback is not None: + # The callback is a host-facing observer: feed it the *released* + # updates by consuming the stream, never by registering a transform + # hook on it. Hooks can end up applied to buffered content ahead of an + # egress gate's verdict (see ResponseStream.buffered_and_gated), so a + # hook-registered observer could see denied or unredacted content. + async for update in stream: + callback_result = stream_callback(update) + if isawaitable(callback_result): + await callback_result + final_response = await stream.get_final_response() + approval_requests = [ + request + for request in final_response.user_input_requests + if request.type == "function_approval_request" + ] + other_input_requests = [ + request + for request in final_response.user_input_requests + if request.type != "function_approval_request" + ] + if approval_requests: + requested_tools = sorted( + { + request.function_call.name or "" + for request in approval_requests + if request.function_call is not None + } + or {""} + ) + approval_error = ( + f"Agent tool {tool_name!r} cannot continue because its sub-agent requested approval for " + f"{', '.join(requested_tools)}. Configure ToolApprovalMiddleware with auto_approval_rules on " + "the sub-agent for immediate policy decisions. Use a workflow for interactive, delayed, or " + "durable approval." + ) + if other_input_requests: + raise UserInputRequiredException(contents=other_input_requests, message=approval_error) + raise ToolExecutionException(approval_error) + if other_input_requests: + raise UserInputRequiredException(contents=other_input_requests) + # TODO(Copilot): update once #4331 merges + return final_response.text + finally: + if parent_state is not None and initial_child_state is not None: + _merge_delegated_session_state( + parent_state, + initial_child_state, + session.state, + excluded_keys=excluded_state_keys, + ) from ._tools import FunctionTool @@ -1450,6 +1575,7 @@ async def _prepare_run_context( agent_name = self._get_agent_name() from ._mcp import MCPTool + from ._tools import _PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY # pyright: ignore[reportPrivateUsage] base_tools = _normalize_tools(chat_options.pop("tools", None)) mcp_duplicate_message = "Tool names must be unique. Consider setting `tool_name_prefix` on the MCPTool." @@ -1494,6 +1620,10 @@ async def _prepare_run_context( duplicate_error_message=mcp_duplicate_message, ) + additional_function_arguments[_PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY] = _tool_approval_source_ids( + self.middleware + ) + model = opts.pop("model", None) # Build options dict from run() options merged with provided options diff --git a/python/packages/core/agent_framework/_tools.py b/python/packages/core/agent_framework/_tools.py index 71bdfcf2646..45f3d39b08b 100644 --- a/python/packages/core/agent_framework/_tools.py +++ b/python/packages/core/agent_framework/_tools.py @@ -106,6 +106,7 @@ def _generate_function_call_occurrence_id() -> str: SHELL_TOOL_KIND_VALUE: Final[str] = "shell" _TOOL_APPROVAL_STATE_KEY: Final[str] = "tool_approval" _APPROVAL_SESSION_IS_AUTHORITATIVE_KEY: Final[str] = "_approval_session_is_authoritative" +_PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY: Final[str] = "_parent_tool_approval_source_ids" def _has_authoritative_approval_session(invocation_session: AgentSession | None) -> bool: @@ -2068,8 +2069,21 @@ async def _auto_invoke_function( runtime_kwargs: dict[str, Any] = { key: value for key, value in (custom_args or {}).items() - if key not in {"_function_middleware_pipeline", "middleware", "conversation_id"} + if key + not in { + "_function_middleware_pipeline", + "middleware", + "conversation_id", + _PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY, + } } + raw_parent_approval_source_ids = (custom_args or {}).get(_PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY) + parent_approval_source_ids: frozenset[str] + parent_approval_source_ids = ( + cast("frozenset[str]", raw_parent_approval_source_ids) + if isinstance(raw_parent_approval_source_ids, frozenset) + else frozenset() + ) if invocation_session is not None: runtime_kwargs["session"] = invocation_session args = dict(parsed_args) @@ -2088,6 +2102,7 @@ async def _auto_invoke_function( kwargs=runtime_kwargs.copy(), tools=live_tools, ) + direct_context.metadata[_PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY] = parent_approval_source_ids if host_payload_budget is not None: direct_context.metadata[_FUNCTION_RESULT_PAYLOAD_BUDGET_CONTEXT_KEY] = host_payload_budget function_result = await tool.invoke( @@ -2126,6 +2141,7 @@ async def _auto_invoke_function( kwargs=runtime_kwargs.copy(), tools=live_tools, ) + middleware_context.metadata[_PARENT_TOOL_APPROVAL_SOURCE_IDS_CONTEXT_KEY] = parent_approval_source_ids if host_payload_budget is not None: middleware_context.metadata[_FUNCTION_RESULT_PAYLOAD_BUDGET_CONTEXT_KEY] = host_payload_budget middleware_context.metadata[_AUTO_ARGUMENT_PREPARATION_CONTEXT_KEY] = True diff --git a/python/packages/core/agent_framework/exceptions.py b/python/packages/core/agent_framework/exceptions.py index 03f950e331a..a908b5bce5d 100644 --- a/python/packages/core/agent_framework/exceptions.py +++ b/python/packages/core/agent_framework/exceptions.py @@ -188,12 +188,12 @@ class ToolExecutionException(ToolException): class UserInputRequiredException(ToolException): - """Raised when a tool wrapping a sub-agent requires user input to proceed. + """Raised when a tool requires user input to proceed. - This exception carries the ``user_input_request`` Content items emitted by - the sub-agent (e.g., ``oauth_consent_request``, ``function_approval_request``) - so the tool invocation layer can propagate them to the parent agent's response - instead of swallowing them as a generic tool error. + This exception carries ``user_input_request`` Content items so the tool + invocation layer can propagate them instead of swallowing them as a generic + tool error. ``Agent.as_tool()`` handles unresolved child function approvals + separately and fails the delegated invocation. Args: contents: The user-input-request Content items from the sub-agent response. diff --git a/python/packages/core/tests/core/test_agents.py b/python/packages/core/tests/core/test_agents.py index 612e759b9af..c3e132656aa 100644 --- a/python/packages/core/tests/core/test_agents.py +++ b/python/packages/core/tests/core/test_agents.py @@ -41,6 +41,7 @@ SlidingWindowStrategy, SupportsAgentRun, SupportsChatGetResponse, + ToolApprovalMiddleware, ToolResultCompactionStrategy, TruncationStrategy, VectorStoreHistoryProvider, @@ -51,7 +52,11 @@ from agent_framework._agents import _get_tool_name, _merge_options, _sanitize_agent_name from agent_framework._mcp import MCPTool, _build_prefixed_mcp_name, _normalize_mcp_name from agent_framework._middleware import FunctionInvocationContext -from agent_framework.exceptions import AgentInvalidRequestException, ChatClientInvalidResponseException +from agent_framework.exceptions import ( + AgentInvalidRequestException, + ChatClientInvalidResponseException, + ToolExecutionException, +) from .conftest import MockBaseChatClient @@ -1698,6 +1703,296 @@ async def test_chat_agent_as_tool_function_execution( assert result[0].text == "test streaming response another update" # From mock streaming client +async def test_chat_agent_as_tool_auto_approves_child_tool_with_middleware() -> None: + """Test that child ToolApprovalMiddleware policies resolve approval during the delegated invocation.""" + executions: list[str] = [] + observed_calls: list[Content] = [] + + @tool(name="read_weather", approval_mode="always_require") + def read_weather(location: str) -> str: + executions.append(location) + return f"Weather for {location}" + + def approve_weather(function_call: Content) -> bool: + observed_calls.append(function_call) + return function_call.name == "read_weather" and function_call.parse_arguments() == {"location": "Amsterdam"} + + client = MockBaseChatClient() + client.streaming_responses = [ + [ + ChatResponseUpdate( + role="assistant", + contents=[ + Content.from_function_call( + call_id="weather-call", + name="read_weather", + arguments={"location": "Amsterdam"}, + ) + ], + ) + ], + [ChatResponseUpdate(role="assistant", contents=[Content.from_text("The weather is cloudy.")])], + ] + agent = Agent( + client=client, + name="WeatherAgent", + tools=[read_weather], + middleware=[ToolApprovalMiddleware(auto_approval_rules=[approve_weather])], + ) + + result = await agent.as_tool().invoke(arguments={"task": "Check Amsterdam weather"}) + + assert executions == ["Amsterdam"] + assert len(observed_calls) == 1 + assert observed_calls[0].parse_arguments() == {"location": "Amsterdam"} + assert result[0].text == "The weather is cloudy." + + +async def test_chat_agent_as_tool_fails_closed_for_unresolved_child_approval() -> None: + """Test that an unresolved child approval cannot escape into the caller's tool registry.""" + executions = 0 + + @tool(name="delete_weather_data", approval_mode="always_require") + def delete_weather_data() -> str: + nonlocal executions + executions += 1 + return "deleted" + + client = MockBaseChatClient() + client.streaming_responses = [ + [ + ChatResponseUpdate( + role="assistant", + contents=[ + Content.from_function_call( + call_id="delete-call", + name="delete_weather_data", + arguments={}, + ) + ], + ) + ] + ] + agent = Agent( + client=client, + name="WeatherAgent", + tools=[delete_weather_data], + middleware=[ToolApprovalMiddleware(auto_approval_rules=[lambda function_call: False])], + ) + + with raises( + ToolExecutionException, + match=( + "sub-agent requested approval for delete_weather_data.*" + "ToolApprovalMiddleware.*Use a workflow for interactive, delayed, or durable approval" + ), + ): + await agent.as_tool().invoke(arguments={"task": "Delete weather data"}) + + assert executions == 0 + + +@pytest.mark.parametrize("stream", [False, True]) +@pytest.mark.parametrize("propagate_session", [False, True]) +async def test_chat_agent_as_tool_child_approval_does_not_dispatch_same_named_parent_tool( + stream: bool, + propagate_session: bool, +) -> None: + """Test that child approval cannot escape and bind to a same-named parent tool.""" + child_executions = 0 + parent_executions = 0 + observed_approval_requests: list[Content] = [] + + @tool(name="guarded_write", approval_mode="always_require") + def child_guarded_write() -> str: + nonlocal child_executions + child_executions += 1 + return "child" + + @tool(name="guarded_write", approval_mode="never_require") + def parent_guarded_write() -> str: + nonlocal parent_executions + parent_executions += 1 + return "parent" + + child_client = MockBaseChatClient() + child_client.streaming_responses = [ + [ + ChatResponseUpdate( + role="assistant", + contents=[ + Content.from_function_call( + call_id="child-write", + name="guarded_write", + arguments={}, + ) + ], + ) + ] + ] + child_agent = Agent(client=child_client, name="ChildAgent", tools=[child_guarded_write]) + + parent_client = MockBaseChatClient() + parent_call = Content.from_function_call( + call_id="delegate-call", + name="delegate", + arguments={"task": "write"}, + ) + + def observe_child_updates(update: AgentResponseUpdate) -> None: + observed_approval_requests.extend(update.user_input_requests) + + if stream: + parent_client.streaming_responses = [ + [ChatResponseUpdate(role="assistant", contents=[parent_call])], + [ + ChatResponseUpdate( + role="assistant", + contents=[Content.from_text("The delegated write was blocked.")], + ) + ], + [ChatResponseUpdate(role="assistant", contents=[Content.from_text("The stale approval was ignored.")])], + ] + else: + parent_client.run_responses = [ + ChatResponse( + messages=Message( + role="assistant", + contents=[parent_call], + ) + ), + ChatResponse( + messages=Message( + role="assistant", + contents=[Content.from_text("The delegated write was blocked.")], + ) + ), + ChatResponse( + messages=Message( + role="assistant", + contents=[Content.from_text("The stale approval was ignored.")], + ) + ), + ] + parent_agent = Agent( + client=parent_client, + name="ParentAgent", + tools=[ + child_agent.as_tool( + name="delegate", + propagate_session=propagate_session, + stream_callback=observe_child_updates, + ), + parent_guarded_write, + ], + ) + parent_session = AgentSession() + + if stream: + result = await parent_agent.run( + "Delegate the write.", + session=parent_session, + stream=True, + ).get_final_response() + else: + result = await parent_agent.run( + "Delegate the write.", + session=parent_session, + stream=False, + ) + + assert child_executions == 0 + assert parent_executions == 0 + assert not result.user_input_requests + assert result.text == "The delegated write was blocked." + + if propagate_session: + assert len(observed_approval_requests) == 1 + tool_approval_state = parent_session.state.get("tool_approval", {}) + assert isinstance(tool_approval_state, dict) + assert not tool_approval_state.get("pending_approval_requests") + + stale_approval = observed_approval_requests[0].to_function_approval_response(approved=True) + if stream: + stale_result = await parent_agent.run( + stale_approval, + session=parent_session, + stream=True, + ).get_final_response() + else: + stale_result = await parent_agent.run( + stale_approval, + session=parent_session, + stream=False, + ) + + assert stale_result.text == "The stale approval was ignored." + assert child_executions == 0 + assert parent_executions == 0 + + +@pytest.mark.parametrize("stream", [False, True]) +async def test_chat_agent_as_tool_preserves_non_approval_requests_from_mixed_child_batch(stream: bool) -> None: + """Test that fail-closed child approvals do not discard other user-input requests.""" + + @tool(name="guarded_write", approval_mode="always_require") + def guarded_write() -> str: + raise AssertionError("Unapproved child tool must not execute.") + + child_client = MockBaseChatClient() + child_client.streaming_responses = [ + [ + ChatResponseUpdate( + role="assistant", + contents=[ + Content.from_function_call(call_id="child-write", name="guarded_write", arguments={}), + Content.from_oauth_consent_request(consent_link="https://example.com/consent"), + ], + ) + ] + ] + child_agent = Agent(client=child_client, name="ChildAgent", tools=[guarded_write]) + + parent_client = MockBaseChatClient() + parent_call = Content.from_function_call( + call_id="delegate-call", + name="delegate", + arguments={"task": "write"}, + ) + if stream: + parent_client.streaming_responses = [[ChatResponseUpdate(role="assistant", contents=[parent_call])]] + else: + parent_client.run_responses = [ + ChatResponse(messages=Message(role="assistant", contents=[parent_call])), + ] + parent_agent = Agent( + client=parent_client, + name="ParentAgent", + tools=[child_agent.as_tool(name="delegate", propagate_session=True)], + ) + parent_session = AgentSession() + + if stream: + result = await parent_agent.run( + "Delegate the write.", + session=parent_session, + stream=True, + ).get_final_response() + else: + result = await parent_agent.run( + "Delegate the write.", + session=parent_session, + stream=False, + ) + + assert len(result.user_input_requests) == 1 + assert result.user_input_requests[0].type == "oauth_consent_request" + assert result.user_input_requests[0].consent_link == "https://example.com/consent" + tool_approval_state = parent_session.state.get("tool_approval", {}) + assert isinstance(tool_approval_state, dict) + assert not tool_approval_state.get("pending_approval_requests") + + async def test_chat_agent_as_tool_with_stream_callback( client: SupportsChatGetResponse, ) -> None: @@ -1810,18 +2105,306 @@ def capturing_run(*args: Any, **kwargs: Any) -> Any: ) ) - # Child receives a separate AgentSession (not the parent object) to isolate - # service_session_id, but shares the same state dict and session_id. + # Child receives a separate AgentSession and state mapping so framework + # continuation state stays isolated while application state propagates. assert captured_session is not None assert captured_session is not parent_session assert captured_session.session_id == "parent-session-123" - assert captured_session.state is parent_session.state + assert captured_session.state is not parent_session.state assert captured_session.state["shared_key"] == "shared_value" + assert parent_session.state["shared_key"] == "shared_value" assert captured_session.service_session_id is None -async def test_chat_agent_as_tool_propagate_session_false_by_default(client: SupportsChatGetResponse) -> None: - """Test that propagate_session defaults to False and does not forward the session.""" +@pytest.mark.parametrize( + ("child_source_id", "child_should_run"), + [ + ("tool_approval", False), + ("child_tool_approval", True), + ], +) +async def test_chat_agent_as_tool_shared_session_requires_distinct_tool_approval_source_ids( + child_source_id: str, + child_should_run: bool, +) -> None: + """Test that shared parent and child approval state cannot use the same key.""" + child_client = MockBaseChatClient() + child_agent = Agent( + client=child_client, + name="ChildAgent", + middleware=[ToolApprovalMiddleware(source_id=child_source_id)], + ) + child_run_called = False + original_child_run = child_agent.run + + def capturing_child_run(*args: Any, **kwargs: Any) -> Any: + nonlocal child_run_called + child_run_called = True + return original_child_run(*args, **kwargs) + + child_agent.run = capturing_child_run # type: ignore[assignment, method-assign] # ty: ignore[invalid-assignment] + + parent_client = MockBaseChatClient() + parent_client.run_responses = [ + ChatResponse( + messages=Message( + role="assistant", + contents=[ + Content.from_function_call( + call_id="delegate-call", + name="delegate", + arguments={"task": "Complete the child task"}, + ) + ], + ) + ), + ChatResponse(messages=Message(role="assistant", contents=[Content.from_text("Done.")])), + ] + parent_agent = Agent( + client=parent_client, + name="ParentAgent", + middleware=[ToolApprovalMiddleware()], + tools=[child_agent.as_tool(name="delegate", propagate_session=True)], + ) + + result = await parent_agent.run("Delegate the task.", session=AgentSession()) + + assert child_run_called is child_should_run + assert result.text == "Done." + + +@pytest.mark.parametrize("stream", [False, True]) +async def test_chat_agent_as_tool_approved_delegation_does_not_confuse_framework_approval_state( + stream: bool, +) -> None: + """Test that ordinary parent approval state is not treated as middleware ownership.""" + child_client = MockBaseChatClient() + child_client.streaming_responses = [ + [ChatResponseUpdate(role="assistant", contents=[Content.from_text("Child completed.")])] + ] + child_agent = Agent( + client=child_client, + name="ChildAgent", + middleware=[ToolApprovalMiddleware()], + ) + + parent_client = MockBaseChatClient() + parent_call = Content.from_function_call( + call_id="delegate-call", + name="delegate", + arguments={"task": "Complete the child task"}, + ) + if stream: + parent_client.streaming_responses = [ + [ChatResponseUpdate(role="assistant", contents=[parent_call])], + [ChatResponseUpdate(role="assistant", contents=[Content.from_text("Parent completed.")])], + ] + else: + parent_client.run_responses = [ + ChatResponse(messages=Message(role="assistant", contents=[parent_call])), + ChatResponse(messages=Message(role="assistant", contents=[Content.from_text("Parent completed.")])), + ] + parent_agent = Agent( + client=parent_client, + name="ParentAgent", + tools=[ + child_agent.as_tool( + name="delegate", + approval_mode="always_require", + propagate_session=True, + ) + ], + ) + parent_session = AgentSession() + + if stream: + first_response = await parent_agent.run( + "Delegate the task.", + session=parent_session, + stream=True, + ).get_final_response() + else: + first_response = await parent_agent.run( + "Delegate the task.", + session=parent_session, + stream=False, + ) + + approval_response = first_response.user_input_requests[0].to_function_approval_response(approved=True) + if stream: + result = await parent_agent.run( + approval_response, + session=parent_session, + stream=True, + ).get_final_response() + else: + result = await parent_agent.run( + approval_response, + session=parent_session, + stream=False, + ) + + delegated_result = next( + content + for message in result.messages + for content in message.contents + if content.type == "function_result" and content.call_id == "delegate-call" + ) + assert delegated_result.result == "Child completed." + assert delegated_result.exception is None + assert child_client.call_count == 1 + assert result.text == "Parent completed." + + +@pytest.mark.parametrize("stream", [False, True]) +async def test_chat_agent_as_tool_isolates_custom_parent_approval_state(stream: bool) -> None: + """Test that a child cannot read, mutate, or replace its parent's custom approval state.""" + parent_approval_state: dict[str, Any] = { + "rules": [{"tool_name": "parent_only", "type": "tool_approval_rule"}], + "queued_approval_requests": [], + "collected_approval_responses": [], + } + parent_session = AgentSession() + parent_session.state["parent_approval"] = parent_approval_state + parent_session.state["counter"] = 0 + child_saw_parent_state: bool | None = None + + @tool(approval_mode="never_require") + def inspect_state(ctx: FunctionInvocationContext) -> str: + nonlocal child_saw_parent_state + assert ctx.session is not None + child_saw_parent_state = "parent_approval" in ctx.session.state + child_state = ctx.session.state.setdefault("parent_approval", {"rules": []}) + child_state["rules"].append({"tool_name": "child_only"}) + ctx.session.state["counter"] += 1 + return "State inspected." + + child_client = MockBaseChatClient() + child_client.streaming_responses = [ + [ + ChatResponseUpdate( + role="assistant", + contents=[Content.from_function_call(call_id="inspect-call", name="inspect_state", arguments={})], + ) + ], + [ChatResponseUpdate(role="assistant", contents=[Content.from_text("Child completed.")])], + ] + child_agent = Agent( + client=child_client, + name="ChildAgent", + middleware=[ToolApprovalMiddleware(source_id="child_approval")], + tools=[inspect_state], + ) + parent_client = MockBaseChatClient() + parent_call = Content.from_function_call( + call_id="delegate-call", + name="delegate", + arguments={"task": "Inspect the delegated session"}, + ) + if stream: + parent_client.streaming_responses = [ + [ChatResponseUpdate(role="assistant", contents=[parent_call])], + [ChatResponseUpdate(role="assistant", contents=[Content.from_text("Parent completed.")])], + ] + else: + parent_client.run_responses = [ + ChatResponse(messages=Message(role="assistant", contents=[parent_call])), + ChatResponse(messages=Message(role="assistant", contents=[Content.from_text("Parent completed.")])), + ] + parent_agent = Agent( + client=parent_client, + name="ParentAgent", + middleware=[ToolApprovalMiddleware(source_id="parent_approval")], + tools=[child_agent.as_tool(name="delegate", propagate_session=True)], + ) + + if stream: + response_stream = parent_agent.run("Delegate the task.", session=parent_session, stream=True) + updates = [update async for update in response_stream] + result = await response_stream.get_final_response() + assert any( + content.type == "function_result" and content.result == "Child completed." + for update in updates + for content in update.contents + ) + else: + result = await parent_agent.run("Delegate the task.", session=parent_session, stream=False) + + delegated_result = next( + content + for message in result.messages + for content in message.contents + if content.type == "function_result" and content.call_id == "delegate-call" + ) + assert delegated_result.result == "Child completed." + assert delegated_result.exception is None + assert child_saw_parent_state is False + assert parent_approval_state["rules"] == [{"tool_name": "parent_only", "type": "tool_approval_rule"}] + assert parent_session.state["parent_approval"] == parent_approval_state + assert "child_approval" not in parent_session.state + assert parent_session.state["counter"] == 1 + assert child_client.call_count == 2 + assert result.text == "Parent completed." + + +async def test_chat_agent_as_tool_does_not_restore_custom_approval_queue_on_fresh_delegation() -> None: + """Test that custom child approval state cannot leak through a shared parent session.""" + + @tool(name="first_write", approval_mode="always_require") + def first_write() -> str: + raise AssertionError("Unapproved child tool must not execute.") + + @tool(name="second_write", approval_mode="always_require") + def second_write() -> str: + raise AssertionError("Unapproved child tool must not execute.") + + child_client = MockBaseChatClient() + child_client.streaming_responses = [ + [ + ChatResponseUpdate( + role="assistant", + contents=[ + Content.from_function_call(call_id="first-write", name="first_write", arguments={}), + Content.from_function_call(call_id="second-write", name="second_write", arguments={}), + ], + ) + ], + [ChatResponseUpdate(role="assistant", contents=[Content.from_text("Fresh delegation completed.")])], + ] + child_agent = Agent( + client=child_client, + name="ChildAgent", + tools=[first_write, second_write], + middleware=[ToolApprovalMiddleware(source_id="child_approval")], + ) + delegated_tool = child_agent.as_tool(propagate_session=True) + parent_session = AgentSession() + + with raises(ToolExecutionException, match="sub-agent requested approval"): + await delegated_tool.invoke( + context=FunctionInvocationContext( + function=delegated_tool, + arguments={"task": "First delegation"}, + session=parent_session, + ) + ) + + assert "child_approval" not in parent_session.state + + result = await delegated_tool.invoke( + context=FunctionInvocationContext( + function=delegated_tool, + arguments={"task": "Fresh delegation"}, + session=parent_session, + ) + ) + + assert result[0].text == "Fresh delegation completed." + assert not child_client.streaming_responses + + +async def test_chat_agent_as_tool_uses_private_session_by_default(client: SupportsChatGetResponse) -> None: + """Test that the default private session supports child middleware without sharing parent state.""" agent = Agent(client=client, name="SubAgent", description="Sub agent") tool = agent.as_tool() # default: propagate_session=False @@ -1845,7 +2428,10 @@ def capturing_run(*args: Any, **kwargs: Any) -> Any: ) ) - assert captured_session is None + assert captured_session is not None + assert captured_session is not parent_session + assert captured_session.state is not parent_session.state + assert captured_session.service_session_id is None async def test_chat_agent_as_tool_propagate_session_shares_state(client: SupportsChatGetResponse) -> None: @@ -1898,8 +2484,8 @@ def capturing_run(*args: Any, **kwargs: Any) -> Any: assert captured_session is not None assert captured_session is not parent_session assert captured_session.service_session_id is None - # But shares the same state dict by reference - assert captured_session.state is parent_session.state + # Application state is copied into the child and merged back afterward. + assert captured_session.state is not parent_session.state assert captured_session.state["data"] == "shared" return original_run(*args, **kwargs) diff --git a/python/samples/03-workflows/README.md b/python/samples/03-workflows/README.md index b3cb399dd60..de0b7f73597 100644 --- a/python/samples/03-workflows/README.md +++ b/python/samples/03-workflows/README.md @@ -104,7 +104,11 @@ Builder-oriented request-info samples are maintained in the orchestration sample ### tool-approval -Builder-based tool approval samples are maintained in the orchestration sample set. +| Sample | File | Concepts | +| ------ | ---- | -------- | +| Agent Tool vs Workflow Approval | [tool-approval/agent_as_tool_vs_workflow_approval.py](./tool-approval/agent_as_tool_vs_workflow_approval.py) | Use child `ToolApprovalMiddleware` policy for immediate delegated approval; use a workflow for delayed or durable approval | + +Additional builder-based tool approval samples are maintained in the orchestration sample set. ### observability diff --git a/python/samples/03-workflows/tool-approval/agent_as_tool_vs_workflow_approval.py b/python/samples/03-workflows/tool-approval/agent_as_tool_vs_workflow_approval.py new file mode 100644 index 00000000000..c0e64199b76 --- /dev/null +++ b/python/samples/03-workflows/tool-approval/agent_as_tool_vs_workflow_approval.py @@ -0,0 +1,194 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Compare immediate agent-tool approval policy with durable workflow approval. + +Use ``Agent.as_tool()`` when the child can decide approvals immediately through +``ToolApprovalMiddleware.auto_approval_rules``. Use a workflow when a person or +external system may respond later. The workflow models delegation as a call and +return: the coordinator sends one task to the child, the child may pause for +approval, and the result returns to the same coordinator. + +Prerequisites: +- FOUNDRY_PROJECT_ENDPOINT: Microsoft Foundry project endpoint. +- FOUNDRY_MODEL: Model deployment name. +- Run ``az login`` before starting the sample. +""" + +import asyncio +import os +from collections.abc import AsyncIterable +from typing import Any, Literal + +from agent_framework import ( + Agent, + AgentExecutor, + AgentExecutorResponse, + Content, + ToolApprovalMiddleware, + WorkflowBuilder, + WorkflowContext, + WorkflowEvent, + executor, + tool, +) +from agent_framework.foundry import FoundryChatClient +from agent_framework.openai import OpenAIChatOptions +from azure.identity import AzureCliCredential +from pydantic import BaseModel +from typing_extensions import Never + + +@tool(approval_mode="always_require") +def reserve_inventory(item: str, quantity: int) -> str: + """Reserve a quantity of an inventory item.""" + return f"Reserved {quantity} unit(s) of {item}." + + +def approve_small_reservations(function_call: Content) -> bool: + """Approve only small inventory reservations during the current invocation. + + The middleware evaluates this policy when a request appears, so the same + approach applies to tools discovered at runtime through MCP or Skills. + """ + if function_call.name != "reserve_inventory": + return False + arguments = function_call.parse_arguments() or {} + quantity = arguments.get("quantity") + return isinstance(quantity, int) and 0 < quantity <= 5 + + +def create_client() -> FoundryChatClient: + """Create the chat client used by both examples.""" + return FoundryChatClient( + project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], + model=os.environ["FOUNDRY_MODEL"], + credential=AzureCliCredential(), + ) + + +async def run_agent_tool_example() -> None: + """Run an immediate approval policy entirely inside Agent.as_tool().""" + inventory_agent = Agent( + client=create_client(), + name="InventoryAgent", + instructions="Reserve the requested inventory using the available tool.", + tools=[reserve_inventory], + middleware=[ + ToolApprovalMiddleware( + auto_approval_rules=[approve_small_reservations], + ) + ], + ) + coordinator = Agent( + client=create_client(), + name="Coordinator", + instructions="Delegate inventory reservations to InventoryAgent.", + tools=[inventory_agent.as_tool()], + ) + + result = await coordinator.run("Reserve 2 keyboards.") + print("Agent.as_tool result:") + print(result.text) + + +async def collect_workflow_events(stream: AsyncIterable[WorkflowEvent]) -> dict[str, Content]: + """Collect approval requests and display completed workflow output.""" + requests: dict[str, Content] = {} + async for event in stream: + if event.type == "request_info" and isinstance(event.data, Content): + requests[event.request_id] = event.data + elif event.type == "output" and isinstance(event.data, str): + print("Workflow result:") + print(event.data) + return requests + + +class CoordinatorDecision(BaseModel): + """Choose whether to delegate a task or complete the caller's response.""" + + action: Literal["delegate", "complete"] + message: str + + +def chose_action(expected: Literal["delegate", "complete"]): + """Create an edge condition for a structured coordinator decision.""" + + def condition(response: Any) -> bool: + return ( + isinstance(response, AgentExecutorResponse) + and isinstance(response.agent_response.value, CoordinatorDecision) + and response.agent_response.value.action == expected + ) + + return condition + + +@executor(id="complete_reservation") +async def complete_reservation( + response: AgentExecutorResponse, + ctx: WorkflowContext[Never, str], +) -> None: + """Return the coordinator's completed response.""" + decision = response.agent_response.value + if not isinstance(decision, CoordinatorDecision): + raise ValueError("Coordinator response must be a CoordinatorDecision.") + await ctx.yield_output(decision.message) + + +async def run_workflow_example() -> None: + """Delegate to a child and return its result through a durable workflow.""" + coordinator = AgentExecutor( + Agent( + client=create_client(), + name="Coordinator", + instructions=( + "You coordinate inventory reservations. For a new request, set action to 'delegate' and message " + "to a concise task for InventoryAgent. When InventoryAgent returns a result, set action to " + "'complete' and message to a user-facing summary of that result." + ), + default_options=OpenAIChatOptions[Any](response_format=CoordinatorDecision), + ) + ) + inventory_agent = Agent( + client=create_client(), + name="InventoryAgent", + instructions="Reserve the requested inventory using the available tool.", + tools=[reserve_inventory], + ) + inventory = AgentExecutor(inventory_agent) + workflow = ( + WorkflowBuilder(start_executor=coordinator) + .add_edge(coordinator, inventory, condition=chose_action("delegate")) + .add_edge(inventory, coordinator) + .add_edge(coordinator, complete_reservation, condition=chose_action("complete")) + .build() + ) + + requests = await collect_workflow_events(workflow.run("Reserve 20 keyboards.", stream=True)) + while requests: + responses: dict[str, Content] = {} + for request_id, request in requests.items(): + if request.type != "function_approval_request" or request.function_call is None: + continue + print("Workflow paused for approval:") + print(f" Tool: {request.function_call.name}") + print(f" Arguments: {request.function_call.arguments}") + + # A real application can persist a workflow checkpoint and return much later. + await asyncio.sleep(1) + responses[request_id] = request.to_function_approval_response(approved=True) + + requests = await collect_workflow_events(workflow.run(stream=True, responses=responses)) + + +async def main() -> None: + """Run the immediate and delayed approval approaches in order.""" + print("1. Immediate policy with Agent.as_tool") + await run_agent_tool_example() + + print("\n2. Delayed approval with a workflow") + await run_workflow_example() + + +if __name__ == "__main__": + asyncio.run(main()) From 09daae83d3313b1a4b8e97886fc2ef42f113a46f Mon Sep 17 00:00:00 2001 From: Manohar Paturi Date: Mon, 21 Sep 2026 08:30:38 +0000 Subject: [PATCH 24/30] Python: match User-Agent header case-insensitively (#8521) prepend_agent_framework_to_user_agent looked up the exact key "User-Agent" when deciding whether an incoming headers dict already carries a user agent. HTTP header names are case-insensitive, so a caller passing default_headers={"user-agent": "my-app/1.0"} (for example to OpenAI clients or the A2A agent) ended up with two User-Agent entries: their original one plus a new agent-framework one. httpx then sends both header lines, and which value a server honors is undefined. Find the existing entry case-insensitively and prepend to it in place, so exactly one User-Agent header survives. Co-authored-by: Manohar Paturi <186662190+ManoharPaturi@users.noreply.github.com> --- .../core/agent_framework/_telemetry.py | 12 +++++- .../core/tests/core/test_telemetry.py | 41 +++++++++++++++++++ 2 files changed, 52 insertions(+), 1 deletion(-) diff --git a/python/packages/core/agent_framework/_telemetry.py b/python/packages/core/agent_framework/_telemetry.py index af6309e5d32..35500240bf3 100644 --- a/python/packages/core/agent_framework/_telemetry.py +++ b/python/packages/core/agent_framework/_telemetry.py @@ -212,6 +212,16 @@ def prepend_agent_framework_to_user_agent(headers: dict[str, Any] | None = None) user_agent = get_user_agent() if not headers: return {USER_AGENT_KEY: user_agent} - headers[USER_AGENT_KEY] = f"{user_agent} {headers[USER_AGENT_KEY]}" if USER_AGENT_KEY in headers else user_agent + # HTTP header names are case-insensitive; detect an existing User-Agent entry + # regardless of casing so the framework value is prepended to it instead of + # creating a second, duplicate User-Agent header. + existing_key = next( + (key for key in headers if isinstance(key, str) and key.lower() == USER_AGENT_KEY.lower()), + None, + ) + if existing_key is None: + headers[USER_AGENT_KEY] = user_agent + else: + headers[existing_key] = f"{user_agent} {headers[existing_key]}" return headers diff --git a/python/packages/core/tests/core/test_telemetry.py b/python/packages/core/tests/core/test_telemetry.py index 7d7fc77256b..e9b4e2f9cf8 100644 --- a/python/packages/core/tests/core/test_telemetry.py +++ b/python/packages/core/tests/core/test_telemetry.py @@ -343,6 +343,47 @@ def test_modifies_original_dict(): assert "User-Agent" in headers +def test_prepend_to_lowercase_user_agent(): + """Test prepending to an existing lowercase user-agent entry. + + HTTP header names are case-insensitive, so callers may pass + ``user-agent`` instead of ``User-Agent``. The framework value must be + prepended to the existing entry rather than adding a second + User-Agent header alongside it. + """ + headers = {"user-agent": "existing-agent/1.0"} + result = prepend_agent_framework_to_user_agent(headers) + + user_agent_values = [value for key, value in result.items() if key.lower() == "user-agent"] + assert len(user_agent_values) == 1 + assert user_agent_values[0].startswith("agent-framework-python/") + assert "existing-agent/1.0" in user_agent_values[0] + + +def test_prepend_to_uppercase_user_agent(): + """Test prepending to an all-caps USER-AGENT entry.""" + headers = {"USER-AGENT": "existing-agent/2.0"} + result = prepend_agent_framework_to_user_agent(headers) + + user_agent_values = [value for key, value in result.items() if key.lower() == "user-agent"] + assert len(user_agent_values) == 1 + assert user_agent_values[0].startswith("agent-framework-python/") + assert "existing-agent/2.0" in user_agent_values[0] + + +def test_no_duplicate_user_agent_after_prepend(monkeypatch): + """Test httpx sees a single User-Agent header after the prepend.""" + import httpx + + headers = {"user-agent": "existing-agent/1.0"} + result = prepend_agent_framework_to_user_agent(headers) + request = httpx.Request("GET", "https://example.com", headers=result) + raw_values = [value for name, value in request.headers.raw if name.lower() == b"user-agent"] + + assert len(raw_values) == 1 + assert raw_values[0].startswith(b"agent-framework-python/") + + # region Test _add_user_agent_prefix From effd4d9978191c2468b233808db8d4edb27b3f37 Mon Sep 17 00:00:00 2001 From: Manohar Paturi Date: Mon, 21 Sep 2026 08:30:46 +0000 Subject: [PATCH 25/30] Python: preserve dict subclasses in workflow checkpoints (#8519) encode_checkpoint_value used isinstance checks for dict and list, so dict subclasses (defaultdict, Counter, OrderedDict) nested in checkpoint state were silently flattened to plain dicts on save. The save-time validation passed because decoding still succeeded, but restored workflows got a plain dict: a defaultdict access pattern like state["missing"].append(x) then raises KeyError on resume, and Counter/OrderedDict types are lost. Only plain dict/list values now take the JSON path; subclasses are pickled like tuples and sets already were, preserving type and behavior through the round trip. collections.Counter joins OrderedDict, defaultdict, and deque in the built-in restricted-unpickler allowlist so the common stdlib dict subclasses restore under restricted decoding too. Co-authored-by: Manohar Paturi <186662190+ManoharPaturi@users.noreply.github.com> --- .../_workflows/_checkpoint_encoding.py | 14 ++-- .../tests/workflow/test_checkpoint_encode.py | 66 +++++++++++++++++++ 2 files changed, 76 insertions(+), 4 deletions(-) diff --git a/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py b/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py index 1d46253b396..71dcefacb55 100644 --- a/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py +++ b/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py @@ -145,6 +145,7 @@ def register_checkpoint_type(cls: type[Any]) -> None: "collections:OrderedDict", "collections:defaultdict", "collections:deque", + "collections:Counter", }) _GETATTR_GLOBAL_KEYS: frozenset[str] = frozenset({ @@ -310,8 +311,11 @@ def _encode(value: Any) -> Any: if isinstance(value, _JSON_NATIVE_TYPES): return value - # Recursively encode dict values (keys become strings) - if isinstance(value, dict): + # Recursively encode dict values (keys become strings). Only plain dicts + # take the JSON path: subclasses such as ``defaultdict``, ``Counter``, and + # ``OrderedDict`` carry behavior/type that a plain JSON object cannot + # represent, so they are pickled to preserve object fidelity. + if type(value) is dict: typed_dict = cast(dict[Any, Any], value) # Stringify each key once so reserved-key checks, collision detection, and # the encoded mapping all observe the same strings (stateful ``__str__``). @@ -325,8 +329,10 @@ def _encode(value: Any) -> Any: encoded_dict: dict[str, Any] = {key: _encode(v) for key, v in stringified_items} return encoded_dict - # Recursively encode list items (lists are JSON-native collections) - if isinstance(value, list): + # Recursively encode list items (lists are JSON-native collections). + # As with dicts, only plain lists take the JSON path so list subclasses + # keep their type through a round trip. + if type(value) is list: return [_encode(item) for item in value] # type: ignore # Everything else (tuples, sets, dataclasses, custom objects, etc.): pickle and base64 encode diff --git a/python/packages/core/tests/workflow/test_checkpoint_encode.py b/python/packages/core/tests/workflow/test_checkpoint_encode.py index 35eedaa66d0..3b2a9149b9e 100644 --- a/python/packages/core/tests/workflow/test_checkpoint_encode.py +++ b/python/packages/core/tests/workflow/test_checkpoint_encode.py @@ -1,6 +1,7 @@ # Copyright (c) Microsoft. All rights reserved. import json +from collections import Counter, OrderedDict, defaultdict from dataclasses import dataclass from datetime import datetime, timezone from typing import Any, cast @@ -175,6 +176,71 @@ def test_encode_set() -> None: assert _TYPE_MARKER in result +def test_encode_dict_subclasses_are_pickled() -> None: + """Test that dict subclasses are pickled instead of flattened to plain dicts. + + defaultdict, Counter, and OrderedDict carry behavior that a plain JSON + object cannot represent, so they must take the pickle path like tuples + and sets do. + """ + cases: list[Any] = [ + defaultdict(list, {"todos": ["a"]}), + Counter({"x": 2, "y": 1}), + OrderedDict([("b", 2), ("a", 1)]), + ] + for value in cases: + result = encode_checkpoint_value(value) + assert isinstance(result, dict), type(value) + assert _PICKLE_MARKER in result + assert _TYPE_MARKER in result + assert result[_TYPE_MARKER] == f"collections:{type(value).__name__}" + + +def test_encode_nested_dict_subclass_is_pickled() -> None: + """Test that dict subclasses nested in containers are also pickled.""" + inner: defaultdict[str, list[int]] = defaultdict(list) + inner["k"].append(1) + result = encode_checkpoint_value({"state": [inner]}) + + assert isinstance(result, dict) + nested = result["state"][0] + assert isinstance(nested, dict) + assert _PICKLE_MARKER in nested + assert nested[_TYPE_MARKER] == "collections:defaultdict" + + +def test_round_trip_dict_subclasses_preserve_type_and_behavior() -> None: + """Test that dict subclasses survive a JSON round trip with type and behavior intact.""" + original: defaultdict[str, list[str]] = defaultdict(list) + original["todos"].append("a") + + encoded = json.loads(json.dumps(encode_checkpoint_value(original))) + restored = decode_checkpoint_value(encoded, allowed_types=frozenset()) + + assert type(restored) is defaultdict + assert restored == original + # The default factory must survive so state access patterns keep working on resume. + restored["new_key"].append("x") + assert restored["new_key"] == ["x"] + + +def test_round_trip_counter_and_ordered_dict_preserve_type() -> None: + """Test Counter and OrderedDict round trips under the restricted unpickler.""" + counter = Counter({"a": 2}) + restored_counter = decode_checkpoint_value( + json.loads(json.dumps(encode_checkpoint_value(counter))), allowed_types=frozenset() + ) + assert type(restored_counter) is Counter + assert restored_counter == counter + + ordered = OrderedDict([("b", 2), ("a", 1)]) + restored_ordered = decode_checkpoint_value( + json.loads(json.dumps(encode_checkpoint_value(ordered))), allowed_types=frozenset() + ) + assert type(restored_ordered) is OrderedDict + assert restored_ordered == ordered + + def test_encode_nested_dict() -> None: """Test encoding a nested dictionary structure.""" data = {"outer": {"inner": {"value": 42}}} From 61d796c1aa99f709126d78b9dfbb4f589daf8522 Mon Sep 17 00:00:00 2001 From: Manohar Paturi Date: Mon, 21 Sep 2026 08:30:54 +0000 Subject: [PATCH 26/30] Python: accept integer timeouts in A2AAgent (#8516) A2AAgent._create_timeout_config only accepted float and httpx.Timeout, so A2AAgent(url=..., timeout=30) raised TypeError. Per PEP 484's numeric tower an int is a valid float, and httpx.Timeout itself accepts ints. Accept int (and float) while continuing to reject bool and other types. Co-authored-by: Manohar Paturi <186662190+ManoharPaturi@users.noreply.github.com> --- .../a2a/agent_framework_a2a/_agent.py | 4 +-- python/packages/a2a/tests/test_a2a_agent.py | 30 +++++++++++++++++++ 2 files changed, 32 insertions(+), 2 deletions(-) diff --git a/python/packages/a2a/agent_framework_a2a/_agent.py b/python/packages/a2a/agent_framework_a2a/_agent.py index 5dca644f184..1cfe7c12443 100644 --- a/python/packages/a2a/agent_framework_a2a/_agent.py +++ b/python/packages/a2a/agent_framework_a2a/_agent.py @@ -355,8 +355,8 @@ def _create_timeout_config(self, timeout: float | httpx.Timeout | None) -> httpx write=10.0, # 10 seconds to send request pool=5.0, # 5 seconds to get connection from pool ) - if isinstance(timeout, float): - # Simple timeout + if isinstance(timeout, (int, float)) and not isinstance(timeout, bool): + # Simple timeout (ints are accepted per PEP 484's numeric tower) return httpx.Timeout(timeout) if isinstance(timeout, httpx.Timeout): # Full timeout configuration provided by user diff --git a/python/packages/a2a/tests/test_a2a_agent.py b/python/packages/a2a/tests/test_a2a_agent.py index b7bb617db90..0fc5b3007c9 100644 --- a/python/packages/a2a/tests/test_a2a_agent.py +++ b/python/packages/a2a/tests/test_a2a_agent.py @@ -754,6 +754,36 @@ def test_create_timeout_config_httpx_timeout() -> None: assert timeout_config.pool == 8.0 +def test_create_timeout_config_integer_timeout() -> None: + """Test _create_timeout_config accepts an int timeout (PEP 484 numeric tower).""" + agent = A2AAgent(name="Test Agent", client=cast(Any, MockA2AClient()), http_client=None) + + timeout_config = agent._create_timeout_config(30) + + assert isinstance(timeout_config, httpx.Timeout) + assert timeout_config.connect == 30.0 + assert timeout_config.read == 30.0 + assert timeout_config.write == 30.0 + assert timeout_config.pool == 30.0 + + +def test_a2a_agent_initialization_with_integer_timeout_parameter() -> None: + """Test A2AAgent initialization accepts an int timeout without raising TypeError.""" + with ( + patch("agent_framework_a2a._agent.httpx.AsyncClient") as mock_async_client, + patch("agent_framework_a2a._agent.ClientFactory") as mock_factory, + ): + mock_client_instance = MagicMock() + mock_factory.return_value.create.return_value = mock_client_instance + + A2AAgent(name="Test Agent", url="https://test-agent.example.com", timeout=120) + + mock_async_client.assert_called_once() + timeout_arg = mock_async_client.call_args.kwargs["timeout"] + assert isinstance(timeout_arg, httpx.Timeout) + assert timeout_arg.read == 120.0 + + def test_create_timeout_config_invalid_type() -> None: """Test _create_timeout_config with invalid type raises TypeError.""" agent = A2AAgent(name="Test Agent", client=cast(Any, MockA2AClient()), http_client=None) From f80498be404b45f5495ef0f38b708ac42b01ab99 Mon Sep 17 00:00:00 2001 From: Anish Mehta <145196704+anishmehta24@users.noreply.github.com> Date: Mon, 21 Sep 2026 09:46:53 +0000 Subject: [PATCH 27/30] Python: mark hosted /responses incomplete on content_filter and length finish reasons (#8478) * Python: mark hosted /responses incomplete on content_filter and length finish reasons The hosted /responses path iterated each AgentResponseUpdate's contents but never read its finish_reason, so a turn the model stopped early (Azure OpenAI content filter, token limit) ended with status "completed" and no trace of the cut-off. Callers could only detect a filtered turn by matching the canned refusal text. _OutputItemTracker now records truncating finish reasons from both the plain-agent and workflow update loops, and _handle_response ends the response with response.incomplete plus incomplete_details.reason ("content_filter" / "max_output_tokens") instead of response.completed, mirroring the OpenAI Responses shape. The refusal text is still delivered as an output item. Fixes #8475 Co-Authored-By: Claude Opus 5 (1M context) * Persist the incomplete reason across resilient checkpoint recovery Recovery rebuilds _OutputItemTracker from the persisted response, so a marker held only in memory was lost if the crash landed between a filtered update and a later one. Mirror it into the stream's internal_metadata (persisted with every checkpoint, like the last checkpoint id) and restore it in the tracker constructor. Co-Authored-By: Claude Opus 5 (1M context) * Handle updates through one tracker entry point and pair snapshots with the checkpoint an update follows _OutputItemTracker.handle_update records the update's finish reason and then handles its contents, so the plain-agent and workflow loops share one ordering rule. The workflow loop snapshotted the response against the latest checkpoint in storage at the time an update was consumed. _SignalledIterator drives the workflow one update ahead, so by then the runner could already have checkpointed past the update; a crash after that snapshot resumed the workflow with the update never replayed and its output (and any incomplete reason) lost. _SignalledIterator now takes an optional stamp coroutine that the driver awaits right after each item is produced, before advancing the wrapped iterator again, and the loop pairs snapshots with that stamped checkpoint id. After the workflow completes, its final checkpoint is paired with the full output so recovery does not replay the last superstep. The real-crash recovery integration tests that were xfailed against #7809 pass with this. Co-Authored-By: Claude Opus 5 (1M context) * Fix pre-commit and typing failures - Drop the redundant `None, None` Generator parameters flagged by pyupgrade. - Type the `finish_reason` test parameters as `FinishReasonLiteral` instead of `str` + `type: ignore`, which `ty` does not honour. - Read the text delta with `.get()` so the `ResponseStreamEvent` TypedDict union does not need narrowing. Co-Authored-By: Claude Opus 5 (1M context) --------- Co-authored-by: Claude Opus 5 (1M context) --- .../_responses.py | 156 +++++++++--- .../foundry_hosting/tests/test_responses.py | 233 +++++++++++++++++- 2 files changed, 348 insertions(+), 41 deletions(-) diff --git a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py index 6f7b9ebcf29..0c850b99b4c 100644 --- a/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py +++ b/python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py @@ -65,6 +65,7 @@ OutputItem, OutputItemReasoningItem, OutputMessageContent, + ResponseIncompleteReason, ResponseStreamEvent, ResponseUsage, ResponseUsageInputTokensDetails, @@ -171,15 +172,27 @@ class _SignalledIterator(Generic[_T]): task -- and the real agent/workflow run it's pumping -- would otherwise be silently abandoned. """ - def __init__(self, iterator: AsyncIterator[_T], *events: asyncio.Event) -> None: + def __init__( + self, + iterator: AsyncIterator[_T], + *events: asyncio.Event, + stamp: Callable[[], Awaitable[Any]] | None = None, + ) -> None: """Wrap an async iterator, stopping early if any of ``events`` fires. Args: iterator: The async iterator to wrap. events: One or more asyncio.Event objects to watch for. If any of them is set, iteration stops early. + stamp: Optional coroutine function the driver awaits right after the wrapped iterator produces an + item and before it is advanced again. Its result is exposed as :attr:`stamp` while that item + is the current one, which lets a consumer observe state (e.g. the latest persisted workflow + checkpoint) as it was when the item was produced rather than when it is consumed: the driver + runs one item ahead, so by consumption time the wrapped iterator may already have moved on. """ self._iterator = iterator self._events = events + self._stamp_fn = stamp + self._stamp: Any = None self._signalled = False # The queue is used to communicate items from the background driver task to the main iteration loop. self._queue: asyncio.Queue[Any] = asyncio.Queue(maxsize=1) @@ -195,6 +208,11 @@ def signalled(self) -> bool: """ return self._signalled + @property + def stamp(self) -> Any: + """The ``stamp`` result taken when the current item was produced (``None`` without a ``stamp``).""" + return self._stamp + def __aiter__(self) -> _SignalledIterator[_T]: return self @@ -204,13 +222,14 @@ async def _drive(self) -> None: while True: try: item: Any = await self._iterator.__anext__() + stamp = await self._stamp_fn() if self._stamp_fn is not None else None except StopAsyncIteration: await self._queue.put(_STOP_SENTINEL) return except Exception as exc: await self._queue.put(exc) return - await self._queue.put(item) + await self._queue.put((item, stamp)) finally: iterator: AsyncIterator[_T] = self._iterator if isinstance(iterator, ResponseStream): @@ -251,6 +270,7 @@ async def __anext__(self) -> _T: raise StopAsyncIteration if isinstance(item, Exception): raise item + item, self._stamp = item return cast(_T, item) async def aclose(self) -> None: @@ -274,6 +294,9 @@ async def aclose(self) -> None: # checkpoint in storage (if any), or replay the original input if none exists as no output was ever # durably persisted. _LATEST_CHECKPOINT_ID_KEY = "_last_checkpoint_id" +# ``internal_metadata`` key carrying a truncating finish reason across resilient checkpoints, so a +# turn cut short before a crash still ends ``incomplete`` after recovery. +_INCOMPLETE_REASON_KEY = "_incomplete_reason" # Foundry Toolbox Auth integration @@ -797,8 +820,9 @@ async def _handle_prepared_response( for event in tracker.close(): yield event - if tracker.oauth_consent_requested: - yield response_event_stream.emit_incomplete(usage=tracker.usage) + incomplete_reason = tracker.incomplete_reason + if tracker.oauth_consent_requested or incomplete_reason is not None: + yield response_event_stream.emit_incomplete(reason=incomplete_reason, usage=tracker.usage) else: yield response_event_stream.emit_completed(usage=tracker.usage) except Exception as ex: @@ -964,11 +988,8 @@ async def _handle_inner_agent( ) async with aclosing(agent_stream): async for update in agent_stream: - for content in update.contents: - async for event in tracker.handle( - content, message_id=update.message_id, approval_storage=approval_storage - ): - yield event + async for event in tracker.handle_update(update, approval_storage=approval_storage): + yield event except (asyncio.CancelledError, GeneratorExit): request_interrupted = True raise @@ -1161,41 +1182,57 @@ async def _handle_inner_workflow( checkpoint_storage=checkpoint_storage, ) - main_iter = _SignalledIterator(run_stream, context.shutdown, cancellation_signal) + workflow_name = agent.workflow.name + + async def latest_checkpoint_id() -> str | None: + latest = await checkpoint_storage.get_latest(workflow_name=workflow_name) + return latest.checkpoint_id if latest is not None else None + + def snapshot_response( + checkpoint_id: str | None, + ) -> Generator[ResponseStreamEvent | ResponseCheckpointEvent]: + # Pair the response output emitted so far with the workflow checkpoint it corresponds + # to, so recovery from that checkpoint replays exactly the updates that came after it. + if checkpoint_id is None or checkpoint_id == response_event_stream.internal_metadata.get( + _LATEST_CHECKPOINT_ID_KEY + ): + return + yield from tracker.close() + response_event_stream.internal_metadata[_LATEST_CHECKPOINT_ID_KEY] = checkpoint_id + yield response_event_stream.checkpoint() + + main_iter = _SignalledIterator( + run_stream, + context.shutdown, + cancellation_signal, + # The runner creates a checkpoint at the end of each superstep, inside the generator + # that produces the updates (see RunnerImpl.run_until_convergence). Stamping each + # update with the latest checkpoint as it was produced tells which checkpoint the + # update follows; the driver runs one update ahead, so by the time an update is + # consumed the workflow may already have checkpointed past it. + stamp=latest_checkpoint_id if self._resilient_background else None, + ) async with aclosing(main_iter): async for update in main_iter: if self._resilient_background: - latest_checkpoint = await checkpoint_storage.get_latest(workflow_name=agent.workflow.name) - if ( - latest_checkpoint is not None - and latest_checkpoint.checkpoint_id - != response_event_stream.internal_metadata.get(_LATEST_CHECKPOINT_ID_KEY) - ): - # A new checkpoint is created when we pull the next item from the stream - # (see RunnerImpl.run_until_convergence). We only take a snapshot of the - # response (response_event_stream.checkpoint()) once the checkpoint is - # durably persisted. This means all items from the previous superstep - # has been pulled thus we can safely close the tracker. The latest checkpoint - # now reflects the state of the workflow that matches the response output. - # Note that if a workflow crashes before any update is created, no response - # snapshot is taken. However, upon recovery the workflow will still be resumed - # from the latest checkpoint. - for event in tracker.close(): - yield event - response_event_stream.internal_metadata[_LATEST_CHECKPOINT_ID_KEY] = ( - latest_checkpoint.checkpoint_id - ) - yield response_event_stream.checkpoint() - - for content in update.contents: - async for event in tracker.handle( - content, message_id=update.message_id, approval_storage=approval_storage - ): + # Every update before this one belongs to the stamped checkpoint (or an + # earlier one), so the output so far can be snapshotted against it. If the + # workflow crashes before any update is produced, no snapshot is taken and + # recovery still resumes from the latest workflow checkpoint. + for event in snapshot_response(main_iter.stamp): yield event + + async for event in tracker.handle_update(update, approval_storage=approval_storage): + yield event # Cancellation needs no extra action here (the loop above already stopped); shutdown # does, but only if it's what actually stopped the loop, not a natural completion. if main_iter.signalled and context.shutdown.is_set(): await context.exit_for_recovery() + elif self._resilient_background and not main_iter.signalled: + # The workflow ran to completion: pair its final checkpoint with the full output, so + # recovery after this point does not replay the last superstep. + for event in snapshot_response(await latest_checkpoint_id()): + yield event except Exception: logger.exception("Failed to produce response for workflow agent") raise @@ -1291,6 +1328,16 @@ def __init__(self, stream: ResponseEventStream) -> None: self._mcp_builder: OutputItemMcpCallBuilder | None = None self._outstanding_function_calls: dict[str, str | None] = {} self._oauth_consent_requests: set[tuple[str, str]] = set() + # Set when an agent update reports the model stopped early (content filter, token + # limit); the response then ends as ``incomplete`` instead of ``completed`` so callers + # can tell a cut-short turn from a successful one. Mirrored into the stream's + # ``internal_metadata`` so it survives a resilient checkpoint/recovery cycle, which + # rebuilds this tracker from the persisted response. + self._incomplete_reason: ResponseIncompleteReason | None = None + persisted_reason = stream.internal_metadata.get(_INCOMPLETE_REASON_KEY) + if isinstance(persisted_reason, str): + with suppress(ValueError): + self._incomplete_reason = ResponseIncompleteReason(persisted_reason) for item in stream.response.get("output", []): if not isinstance(item, Mapping): continue @@ -1329,6 +1376,43 @@ def oauth_consent_requested(self) -> bool: """Return whether this response emitted an OAuth consent request.""" return bool(self._oauth_consent_requests) + @property + def incomplete_reason(self) -> ResponseIncompleteReason | None: + """Return why the turn was cut short, if any update reported a truncating finish reason.""" + return self._incomplete_reason + + def record_finish_reason(self, finish_reason: str | None) -> None: + """Note the finish reason of an agent update. + + Only finish reasons that mean the model stopped early are retained, mapped onto the + Responses ``incomplete_details.reason`` vocabulary. A content filter is kept in + preference to a token limit if both are seen during a multi-step turn, since it is the + more actionable signal for the caller. + """ + if finish_reason == "content_filter": + self._incomplete_reason = ResponseIncompleteReason.CONTENT_FILTER + elif finish_reason == "length" and self._incomplete_reason is None: + self._incomplete_reason = ResponseIncompleteReason.MAX_OUTPUT_TOKENS + else: + return + self._stream.internal_metadata[_INCOMPLETE_REASON_KEY] = self._incomplete_reason.value + + async def handle_update( + self, + update: AgentResponseUpdate, + *, + approval_storage: FunctionApprovalStore | None = None, + ) -> AsyncGenerator[ResponseStreamEvent]: + """Process one agent update: note its finish reason, then handle each of its contents. + + This is the single entry point for both the plain-agent and the workflow loops, so the + finish reason cannot be forgotten on one of them. + """ + self.record_finish_reason(update.finish_reason) + for content in update.contents: + async for event in self.handle(content, message_id=update.message_id, approval_storage=approval_storage): + yield event + async def handle( self, content: Content, diff --git a/python/packages/foundry_hosting/tests/test_responses.py b/python/packages/foundry_hosting/tests/test_responses.py index 756e8668739..45d7d630554 100644 --- a/python/packages/foundry_hosting/tests/test_responses.py +++ b/python/packages/foundry_hosting/tests/test_responses.py @@ -11,12 +11,13 @@ from __future__ import annotations import asyncio +import copy import json import logging import os import uuid from collections.abc import AsyncGenerator, AsyncIterator, Awaitable, Callable, Generator, Mapping, Sequence -from contextlib import asynccontextmanager +from contextlib import aclosing, asynccontextmanager from dataclasses import dataclass from importlib import import_module from pathlib import Path @@ -36,6 +37,7 @@ ChatResponse, ChatResponseUpdate, Content, + FinishReasonLiteral, FunctionInvocationLayer, HistoryProvider, InMemoryCheckpointStorage, @@ -63,7 +65,7 @@ ResponsesServerOptions, ) from azure.ai.agentserver.responses.aio import ResponseEventStream -from azure.ai.agentserver.responses.models import CreateResponse, Item, OutputItem +from azure.ai.agentserver.responses.models import CreateResponse, Item, OutputItem, ResponseIncompleteReason from azure.ai.agentserver.responses.streaming._checkpoint import ResponseCheckpointEvent from mcp import McpError from mcp.types import ErrorData @@ -72,12 +74,15 @@ from agent_framework_foundry_hosting import ResponsesHostServer from agent_framework_foundry_hosting._responses import ( + _INCOMPLETE_REASON_KEY, # pyright: ignore[reportPrivateUsage] + _LATEST_CHECKPOINT_ID_KEY, # pyright: ignore[reportPrivateUsage] CONSENT_ERROR_CODE, ConsentError, _item_to_message, # pyright: ignore[reportPrivateUsage] _json_safe_to_str, # pyright: ignore[reportPrivateUsage] _output_item_to_message, # pyright: ignore[reportPrivateUsage] _OutputItemTracker, # pyright: ignore[reportPrivateUsage] + _SignalledIterator, # pyright: ignore[reportPrivateUsage] _stringify_mcp_output, # pyright: ignore[reportPrivateUsage] consent_url_from_error, ) @@ -5262,6 +5267,143 @@ async def test_connect_time_consent_rejects_unsafe_links(self) -> None: # region Error handling (response.failed surfacing) +class TestIncompleteFinishReasonSurfacing: + """A turn the model stopped early must end as ``incomplete`` with the reason, not ``completed``. + + Regression coverage for https://github.com/microsoft/agent-framework/issues/8475: the + underlying chat completion reported ``finish_reason="content_filter"`` but the hosted + ``/responses`` payload said ``status="completed"`` with no trace of the filter. + """ + + @staticmethod + def _filtered_agent(*, finish_reason: FinishReasonLiteral) -> MagicMock: + return _make_agent( + stream_updates=[ + AgentResponseUpdate( + contents=[Content.from_text("I'm sorry, but I cannot assist with that request.")], + role="assistant", + finish_reason=finish_reason, + ) + ] + ) + + async def test_non_streaming_content_filter_marks_response_incomplete(self) -> None: + server = _make_server(self._filtered_agent(finish_reason="content_filter")) + + resp = await _post(server, input_text="hello", stream=False) + assert resp.status_code == 200 + body = resp.json() + assert body["status"] == "incomplete" + assert body["incomplete_details"] == {"reason": "content_filter"} + assert body.get("error") is None + + # The refusal text is still delivered so the caller can show it if it chooses to. + messages = [it for it in body["output"] if it["type"] == "message"] + assert len(messages) == 1 + assert messages[0]["content"][0]["text"] == "I'm sorry, but I cannot assist with that request." + + async def test_streaming_content_filter_emits_response_incomplete(self) -> None: + server = _make_server(self._filtered_agent(finish_reason="content_filter")) + + resp = await _post(server, input_text="hello", stream=True) + assert resp.status_code == 200 + events = _parse_sse_events(resp.text) + types = _sse_event_types(events) + + assert types[-1] == "response.incomplete" + assert "response.completed" not in types + incomplete = events[-1]["data"]["response"] + assert incomplete["status"] == "incomplete" + assert incomplete["incomplete_details"] == {"reason": "content_filter"} + # The text item itself still closes normally before the terminal event. + assert "response.output_text.done" in types + + async def test_length_finish_reason_maps_to_max_output_tokens(self) -> None: + server = _make_server(self._filtered_agent(finish_reason="length")) + + resp = await _post(server, input_text="hello", stream=False) + body = resp.json() + assert body["status"] == "incomplete" + assert body["incomplete_details"] == {"reason": "max_output_tokens"} + + async def test_normal_finish_reasons_still_complete(self) -> None: + agent = _make_agent( + stream_updates=[ + AgentResponseUpdate(contents=[Content.from_text("part one")], role="assistant"), + AgentResponseUpdate(contents=[Content.from_text(" part two")], role="assistant", finish_reason="stop"), + ] + ) + server = _make_server(agent) + + resp = await _post(server, input_text="hello", stream=False) + body = resp.json() + assert body["status"] == "completed" + assert body.get("incomplete_details") is None + + async def test_content_filter_persists_across_later_updates_in_the_turn(self) -> None: + """A filter mid-turn is not erased by a later update that finishes normally.""" + agent = _make_agent( + stream_updates=[ + AgentResponseUpdate( + contents=[Content.from_text("filtered")], role="assistant", finish_reason="content_filter" + ), + AgentResponseUpdate(contents=[Content.from_text("trailing")], role="assistant", finish_reason="stop"), + ] + ) + server = _make_server(agent) + + resp = await _post(server, input_text="hello", stream=False) + body = resp.json() + assert body["status"] == "incomplete" + assert body["incomplete_details"] == {"reason": "content_filter"} + + async def test_content_filter_takes_precedence_over_length(self) -> None: + agent = _make_agent( + stream_updates=[ + AgentResponseUpdate(contents=[Content.from_text("cut")], role="assistant", finish_reason="length"), + AgentResponseUpdate( + contents=[Content.from_text("filtered")], role="assistant", finish_reason="content_filter" + ), + ] + ) + server = _make_server(agent) + + resp = await _post(server, input_text="hello", stream=False) + body = resp.json() + assert body["incomplete_details"] == {"reason": "content_filter"} + + async def test_incomplete_reason_survives_checkpoint_recovery(self) -> None: + """Resilient recovery rebuilds the tracker from the persisted response; the marker must ride along. + + A filtered update followed by a crash and a later ``stop`` update must still end ``incomplete``. + """ + stream = ResponseEventStream(response_id="resp_filtered") + stream.emit_created() + stream.emit_in_progress() + tracker = _OutputItemTracker(stream) + tracker.record_finish_reason("content_filter") + assert stream.internal_metadata[_INCOMPLETE_REASON_KEY] == "content_filter" + + # Simulate recovery: a fresh tracker over the checkpointed response snapshot. + recovered = _OutputItemTracker(stream) + assert recovered.incomplete_reason == ResponseIncompleteReason.CONTENT_FILTER + recovered.record_finish_reason("stop") + assert recovered.incomplete_reason == ResponseIncompleteReason.CONTENT_FILTER + + # A stream that was never marked restores nothing. + assert _OutputItemTracker(ResponseEventStream(response_id="resp_clean")).incomplete_reason is None + + async def test_workflow_agent_content_filter_marks_response_incomplete(self) -> None: + workflow_agent = _build_text_workflow_agent("filtered by workflow", finish_reason="content_filter") + server = _make_server(workflow_agent) + + resp = await _post(server, input_text="hi", stream=False) + assert resp.status_code == 200 + body = resp.json() + assert body["status"] == "incomplete" + assert body["incomplete_details"] == {"reason": "content_filter"} + + class TestResponseFailedSurfacing: """Tests that exceptions raised by the hosted agent are converted into terminal ``response.failed`` events carrying the exception message, @@ -5600,15 +5742,16 @@ async def _iter() -> AsyncIterator[AgentResponseUpdate]: return ResponseStream(_iter(), finalizer=AgentResponse.from_updates) -def _build_text_workflow_agent(text: str) -> WorkflowAgent: +def _build_text_workflow_agent(text: str, *, finish_reason: FinishReasonLiteral | None = None) -> WorkflowAgent: """Build a minimal ``WorkflowAgent`` whose inner agent emits a fixed text.""" class _TextAgent(SupportsAgentRun): - def __init__(self, name: str, text: str) -> None: + def __init__(self, name: str, text: str, finish_reason: FinishReasonLiteral | None) -> None: self.id = str(uuid.uuid4()) self.name = name self.description: str | None = None self._text = text + self._finish_reason: FinishReasonLiteral | None = finish_reason def create_session(self, **kwargs: Any) -> AgentSession: del kwargs @@ -5652,17 +5795,19 @@ def run( assert stream is True, "The inner agent only runs in stream mode in Foundry Hosted Agents." text = self._text name = self.name + finish_reason = self._finish_reason async def _aiter() -> AsyncIterator[AgentResponseUpdate]: yield AgentResponseUpdate( contents=[Content.from_text(text=text)], role="assistant", author_name=name, + finish_reason=finish_reason, ) return ResponseStream(_aiter(), finalizer=AgentResponse.from_updates) - inner = _TextAgent("text-agent", text) + inner = _TextAgent("text-agent", text, finish_reason) @executor async def start(messages: list[Message], ctx: WorkflowContext[AgentExecutorRequest]) -> None: @@ -6327,6 +6472,84 @@ async def test_workflow_yields_checkpoint_event_when_resilient_background(self, checkpoint_events = [e for e in events if isinstance(e, ResponseCheckpointEvent)] assert checkpoint_events, "expected at least one checkpoint event yielded for a resilient background run" + async def test_signalled_iterator_stamps_items_when_produced(self) -> None: + """The stamp reflects state as of production, not consumption. + + The driver runs one item ahead: once the consumer holds item k, the wrapped iterator may + already have resumed and created a checkpoint after it. The stamp taken right after item k + was produced must not see that later checkpoint. + """ + checkpoints: list[int] = [] + + async def produce() -> AsyncIterator[int]: + for k in range(1, 4): + yield k + # Runs when the iterator is resumed to produce the next item, i.e. after item k + # was handed over, mirroring the runner checkpointing at the end of a superstep. + checkpoints.append(k) + + async def stamp() -> int: + return len(checkpoints) + + seen: list[tuple[int, int, int]] = [] + it = _SignalledIterator(produce(), asyncio.Event(), stamp=stamp) + async with aclosing(it): + async for item in it: + # Give the driver every chance to run ahead before we look at the stamp. + for _ in range(5): + await asyncio.sleep(0) + seen.append((item, it.stamp, len(checkpoints))) + + assert [(item, stamped) for item, stamped, _ in seen] == [(1, 0), (2, 1), (3, 2)] + # Consumption-time state had already moved past the stamped one for every item. + assert all(consumed > stamped for _, stamped, consumed in seen) + + async def test_snapshots_pair_output_with_the_checkpoint_it_follows(self, tmp_path: Path) -> None: + """Every persisted snapshot must contain exactly the output emitted before it, and the final + snapshot must carry the full output and the incomplete reason. + """ + workflow_agent = _build_text_workflow_agent("filtered by workflow", finish_reason="content_filter") + server = _make_server( + workflow_agent, + response_store=FileResponseStore(storage_dir=tmp_path), + options=ResponsesServerOptions(resilient_background=True), + ) + request = CreateResponse(model="m", input="hi", background=True, stream=True, store=True) + context = ResponseContext(response_id="response-current", mode_flags=MagicMock()) + + emitted_text = "" + snapshots: list[tuple[str, dict[str, Any]]] = [] + async for event in server._handle_response( # pyright: ignore[reportPrivateUsage] + request, context, asyncio.Event() + ): + if isinstance(event, ResponseCheckpointEvent): + # The event references the live response; copy it as it is at persistence time. + snapshots.append((emitted_text, copy.deepcopy(dict(event.response)))) + elif isinstance(event, Mapping) and event.get("type") == "response.output_text.delta": + emitted_text += str(event.get("delta", "")) + + assert emitted_text == "filtered by workflow" + assert snapshots, "expected the completed workflow to be snapshotted" + checkpoint_ids: list[str] = [] + for text_before, response in snapshots: + internal = json.loads(response["metadata"]["_internal_metadata"]) + checkpoint_ids.append(internal[_LATEST_CHECKPOINT_ID_KEY]) + snapshot_text = "".join( + part["text"] + for item in response["output"] + if item["type"] == "message" + for part in item["content"] + if part["type"] == "output_text" + ) + assert snapshot_text == text_before + assert len(set(checkpoint_ids)) == len(checkpoint_ids), "each checkpoint is snapshotted once" + + # The last snapshot is paired with the workflow's final checkpoint and carries everything. + final_text, final_response = snapshots[-1] + assert final_text == "filtered by workflow" + assert json.loads(final_response["metadata"]["_internal_metadata"])[_INCOMPLETE_REASON_KEY] == "content_filter" + assert final_response["status"] == "in_progress" + # endregion From 435012e55c6cbfad659b4715b84132607d495bcc Mon Sep 17 00:00:00 2001 From: lsmlhi_25 Date: Mon, 21 Sep 2026 09:47:38 +0000 Subject: [PATCH 28/30] Python: add public TypedDict for AgentExecutor checkpoint state (#8201) (#8284) * Python: add public TypedDict for AgentExecutor checkpoint state (#8201) Expose AgentExecutorCheckpointState / AgentSessionCheckpointState, validate restore field types, and cover partial/malformed/forward-compatible payloads. * fix(checkpoint): address #8284 review on session TypedDict ownership (#1) - Define AgentSessionDict on AgentSession (to_dict return) so the shape is not duplicated in AgentExecutor; keep AgentSessionCheckpointState as alias. - Include ServiceSessionId mapping in service_session_id. - Type on_checkpoint_restore as AgentExecutorCheckpointState only. - Sync root stub exports (__init__.pyi) with runtime __all__. * fix(checkpoint): validate AgentExecutor restore element types (#8284) Enforce Message/Content element types, string pending-request keys, and required agent_session.session_id so malformed checkpoints fail at restore. * fix(checkpoint): validate AgentSessionDict fields on restore - Validate agent_session.state / service_session_id types - Raise WorkflowCheckpointException when session restore fails - Drop unshipped AgentSessionCheckpointState alias; use AgentSessionDict * fix(checkpoint): keep session/executor checkpoint payloads as dict TypedDict schemas remain public for documentation and validation, but to_dict and on_checkpoint_save/restore stay dict[str, Any] so subclasses, samples, and pyright stay compatible. * fix(checkpoint): keep AgentSessionDict optional keys under postponed annotations Use a required base plus total=False subclass, stop exporting AgentSessionDict from the public package root, and tighten AgentExecutor restore validation with walrus checks. --------- Co-authored-by: minelhi <3417378192@qq.com> Co-authored-by: LI <2484593937@qq.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Co-authored-by: Eduard van Valkenburg --- .../packages/core/agent_framework/__init__.py | 8 +- .../core/agent_framework/__init__.pyi | 8 +- .../core/agent_framework/_sessions.py | 32 ++++ .../_workflows/_agent_executor.py | 153 ++++++++++++++++-- .../tests/workflow/test_agent_executor.py | 98 +++++++++++ 5 files changed, 287 insertions(+), 12 deletions(-) diff --git a/python/packages/core/agent_framework/__init__.py b/python/packages/core/agent_framework/__init__.py index 2039452197e..10b89d6aa40 100644 --- a/python/packages/core/agent_framework/__init__.py +++ b/python/packages/core/agent_framework/__init__.py @@ -322,7 +322,12 @@ "vectorstoremodel", ), "._workflows._agent": ("WorkflowAgent",), - "._workflows._agent_executor": ("AgentExecutor", "AgentExecutorRequest", "AgentExecutorResponse"), + "._workflows._agent_executor": ( + "AgentExecutor", + "AgentExecutorCheckpointState", + "AgentExecutorRequest", + "AgentExecutorResponse", + ), "._workflows._agent_utils": ("resolve_agent_id",), "._workflows._checkpoint": ( "CheckpointID", @@ -429,6 +434,7 @@ "AgentContext", "AgentEvalConverter", "AgentExecutor", + "AgentExecutorCheckpointState", "AgentExecutorRequest", "AgentExecutorResponse", "AgentFileStore", diff --git a/python/packages/core/agent_framework/__init__.pyi b/python/packages/core/agent_framework/__init__.pyi index e35b6dc843a..1d55266ad06 100644 --- a/python/packages/core/agent_framework/__init__.pyi +++ b/python/packages/core/agent_framework/__init__.pyi @@ -278,7 +278,12 @@ from ._vectors import ( vectorstoremodel, ) from ._workflows._agent import WorkflowAgent -from ._workflows._agent_executor import AgentExecutor, AgentExecutorRequest, AgentExecutorResponse +from ._workflows._agent_executor import ( + AgentExecutor, + AgentExecutorCheckpointState, + AgentExecutorRequest, + AgentExecutorResponse, +) from ._workflows._agent_utils import resolve_agent_id from ._workflows._checkpoint import ( CheckpointID, @@ -384,6 +389,7 @@ __all__ = [ "AgentContext", "AgentEvalConverter", "AgentExecutor", + "AgentExecutorCheckpointState", "AgentExecutorRequest", "AgentExecutorResponse", "AgentFileStore", diff --git a/python/packages/core/agent_framework/_sessions.py b/python/packages/core/agent_framework/_sessions.py index 2dad178ef69..21d115d330a 100644 --- a/python/packages/core/agent_framework/_sessions.py +++ b/python/packages/core/agent_framework/_sessions.py @@ -36,6 +36,7 @@ from typing import TYPE_CHECKING, Any, ClassVar, Literal, TypeAlias, TypeVar, cast import msgspec +from typing_extensions import TypedDict from ._feature_stage import ExperimentalFeature, experimental from ._filesystem import ( @@ -1754,6 +1755,32 @@ async def process(self, context: ChatContext, call_next: Callable[[], Awaitable[ ) +class _AgentSessionDictRequired(TypedDict): + """Required fields for a serialized :class:`AgentSession`.""" + + session_id: str + + +class AgentSessionDict(_AgentSessionDictRequired, total=False): + """Serialized :class:`AgentSession` payload shape produced by :meth:`AgentSession.to_dict`. + + ``AgentSession.to_dict`` returns a plain ``dict[str, Any]`` that conforms to this + schema. Callers that need a TypedDict view can ``cast`` the result. + + Built as a required base plus ``total=False`` optional fields so postponed + annotations do not turn optional keys into required runtime metadata. + + ``service_session_id`` may be a plain string or a structured + :data:`ServiceSessionId` mapping, matching :attr:`AgentSession.service_session_id`. + ``state`` holds session-local data and may be incomplete when the session uses + service-side storage. + """ + + type: str + service_session_id: str | ServiceSessionId | None + state: dict[str, Any] + + class AgentSession: """A conversation session with an agent. @@ -1797,6 +1824,11 @@ def session_id(self) -> str: def to_dict(self) -> dict[str, Any]: """Serialize session to a plain dict for storage/transfer. + The returned mapping matches :class:`AgentSessionDict`. The annotated + return type stays ``dict[str, Any]`` so subclasses and callers that + extend or pass the payload as a mutable ``dict`` remain type-correct + (TypedDict is not assignable to ``dict`` under pyright). + Registered custom values use their configured codecs. Unregistered values defining ``to_dict`` retain the established dictionary behavior. Unregistered Pydantic models are still auto-registered temporarily but diff --git a/python/packages/core/agent_framework/_workflows/_agent_executor.py b/python/packages/core/agent_framework/_workflows/_agent_executor.py index 2dd0367ac33..b9acf5ada32 100644 --- a/python/packages/core/agent_framework/_workflows/_agent_executor.py +++ b/python/packages/core/agent_framework/_workflows/_agent_executor.py @@ -3,17 +3,18 @@ import inspect import logging import sys -from collections.abc import Awaitable, Callable +from collections.abc import Awaitable, Callable, Mapping from dataclasses import dataclass from typing import Any, Literal, cast -from typing_extensions import Never +from typing_extensions import Never, TypedDict from agent_framework import Content from .._agents import SupportsAgentRun -from .._sessions import AgentSession +from .._sessions import AgentSession, AgentSessionDict from .._types import AgentResponse, AgentResponseUpdate, Message, ResponseStream +from ..exceptions import WorkflowCheckpointException from ._agent_utils import prepare_agent_run_args, resolve_agent_id, resolve_executor_kwargs from ._const import INTERNAL_SOURCE_ID, RESOLVED_WORKFLOW_RUN_KWARGS_KEY, WORKFLOW_RUN_KWARGS_KEY from ._executor import Executor, handler @@ -30,6 +31,128 @@ logger = logging.getLogger(__name__) +class AgentExecutorCheckpointState(TypedDict, total=False): + """Public schema for state saved and restored by :class:`AgentExecutor`. + + Stored under ``WorkflowCheckpoint.state["_executor_state"][executor_id]``. + + ``on_checkpoint_save`` always writes every key below. Restore accepts partial + mappings for backward compatibility: missing keys reset to empty defaults. + Unknown keys are ignored so newer writers remain readable by older runtimes. + + Compatibility: + - Add fields as ``total=False`` / ``NotRequired`` and treat absence as default. + - Do not rename or change the meaning of existing keys without a migration path. + - Custom executors should define their own TypedDict (or equivalent) and validate + types in ``on_checkpoint_restore``; prefer + :class:`~agent_framework.exceptions.WorkflowCheckpointException` for malformed data. + + Keys: + cache: Messages buffered between runs before the next agent invocation. + full_conversation: Prior inputs plus assistant/tool outputs after the last run. + agent_session: Serialized session payload (:class:`~agent_framework._sessions.AgentSessionDict`). + pending_agent_requests: In-flight agent-owned user-input requests by request id. + pending_responses_to_agent: Queued content responses waiting to be sent to the agent. + """ + + cache: list[Message] + full_conversation: list[Message] + agent_session: AgentSessionDict + pending_agent_requests: dict[str, Content] + pending_responses_to_agent: list[Content] + + +def _validate_agent_executor_checkpoint_state(state: Mapping[str, Any]) -> None: + """Raise :class:`WorkflowCheckpointException` when checkpoint payload types are wrong.""" + if not isinstance(state, Mapping): + raise WorkflowCheckpointException( + f"AgentExecutor checkpoint state must be a mapping, got {type(state).__name__}." + ) + + message_list_keys = ("cache", "full_conversation") + for key in message_list_keys: + if key not in state or state[key] is None: + continue + value = state[key] + if not isinstance(value, list): + raise WorkflowCheckpointException( + f"AgentExecutor checkpoint field '{key}' must be a list, got {type(value).__name__}." + ) + messages = cast(list[Any], value) + for index, item in enumerate(messages): + if not isinstance(item, Message): + raise WorkflowCheckpointException( + f"AgentExecutor checkpoint field '{key}'[{index}] must be Message, " + f"got {type(item).__name__}." + ) + + if (responses_raw := state.get("pending_responses_to_agent")) is not None: + if not isinstance(responses_raw, list): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'pending_responses_to_agent' must be a list, " + f"got {type(responses_raw).__name__}." + ) + responses = cast(list[Any], responses_raw) + for index, item in enumerate(responses): + if not isinstance(item, Content): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field " + f"'pending_responses_to_agent'[{index}] must be Content, " + f"got {type(item).__name__}." + ) + + if (pending_raw := state.get("pending_agent_requests")) is not None: + if not isinstance(pending_raw, dict): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'pending_agent_requests' must be a dict, " + f"got {type(pending_raw).__name__}." + ) + pending = cast(dict[Any, Any], pending_raw) + for request_id, content in pending.items(): + if not isinstance(request_id, str): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'pending_agent_requests' keys must be str, " + f"got {type(request_id).__name__}." + ) + if not isinstance(content, Content): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field " + f"'pending_agent_requests[{request_id!r}]' must be Content, " + f"got {type(content).__name__}." + ) + + if (session_raw := state.get("agent_session")) is not None: + if not isinstance(session_raw, dict): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'agent_session' must be a dict, " + f"got {type(session_raw).__name__}." + ) + session = cast(dict[str, Any], session_raw) + session_id = session.get("session_id") + if not isinstance(session_id, str): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'agent_session.session_id' must be a str, " + f"got {type(session_id).__name__}." + ) + if "state" in session and session["state"] is not None and not isinstance(session["state"], dict): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'agent_session.state' must be a dict, " + f"got {type(session['state']).__name__}." + ) + if "service_session_id" in session and session["service_session_id"] is not None: + service_session_id = session["service_session_id"] + if not isinstance(service_session_id, (str, Mapping)): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'agent_session.service_session_id' must be " + f"str, mapping, or None, got {type(service_session_id).__name__}." + ) + if "type" in session and session["type"] is not None and not isinstance(session["type"], str): + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'agent_session.type' must be a str, " + f"got {type(session['type']).__name__}." + ) + + def _accepts_runtime_tools(agent: SupportsAgentRun) -> bool: """Return whether the agent run surface accepts a tools keyword.""" try: @@ -368,14 +491,15 @@ async def on_checkpoint_save(self) -> dict[str, Any]: may not be serialized locally. Returns: - Dict containing serialized cache and session state + A JSON-serializable ``dict`` matching :class:`AgentExecutorCheckpointState` + (cache, conversation, session, and pending request/response fields). + The return type remains ``dict[str, Any]`` so subclasses may extend the + payload and so the override stays compatible with :class:`Executor`. """ - serialized_session = self._session.to_dict() - return { "cache": self._cache, "full_conversation": self._full_conversation, - "agent_session": serialized_session, + "agent_session": self._session.to_dict(), "pending_agent_requests": self._pending_agent_requests, "pending_responses_to_agent": self._pending_responses_to_agent, } @@ -385,8 +509,15 @@ async def on_checkpoint_restore(self, state: dict[str, Any]) -> None: """Restore executor state from checkpoint. Args: - state: Checkpoint data dict + state: Checkpoint payload matching :class:`AgentExecutorCheckpointState`. + Missing known keys use empty defaults; unknown keys are ignored. + + Raises: + WorkflowCheckpointException: If ``state`` is not a mapping or a known + field has an incompatible type. """ + _validate_agent_executor_checkpoint_state(state) + cache_payload = state.get("cache") self._cache = cache_payload or [] @@ -398,8 +529,10 @@ async def on_checkpoint_restore(self, state: dict[str, Any]) -> None: try: self._session = AgentSession.from_dict(session_payload) except Exception as exc: - logger.warning("Failed to restore agent session: %s", exc) - self._session = self._agent.create_session() + raise WorkflowCheckpointException( + "AgentExecutor checkpoint field 'agent_session' could not be restored: " + f"{exc}" + ) from exc else: self._session = self._agent.create_session() diff --git a/python/packages/core/tests/workflow/test_agent_executor.py b/python/packages/core/tests/workflow/test_agent_executor.py index 18d93cf37d6..b2a21c4d707 100644 --- a/python/packages/core/tests/workflow/test_agent_executor.py +++ b/python/packages/core/tests/workflow/test_agent_executor.py @@ -611,6 +611,104 @@ async def test_checkpoint_restore_works_without_context_mode_in_state() -> None: assert executor._context_mode == "last_agent" # pyright: ignore[reportPrivateUsage] +async def test_agent_executor_checkpoint_state_public_schema_keys() -> None: + """Saved AgentExecutor checkpoint state exposes the public TypedDict keys.""" + from agent_framework import AgentExecutorCheckpointState + from agent_framework._sessions import AgentSessionDict + + agent = _CountingAgent(id="schema_agent", name="SchemaAgent") + executor = AgentExecutor(agent) + executor._cache = [Message(role="user", contents=["hello"])] # pyright: ignore[reportPrivateUsage] + + state = await executor.on_checkpoint_save() + + assert set(state) == { + "cache", + "full_conversation", + "agent_session", + "pending_agent_requests", + "pending_responses_to_agent", + } + assert isinstance(state, dict) + assert len(state["cache"]) == 1 + assert "session_id" in state["agent_session"] + # Checkpoint schema stays public; session payload TypedDict is sessions-internal. + _: type[AgentExecutorCheckpointState] = AgentExecutorCheckpointState + __: type[AgentSessionDict] = AgentSessionDict + assert isinstance(state["agent_session"], dict) + # Postponed annotations must not mark optional AgentSessionDict fields as required. + assert AgentSessionDict.__required_keys__ == frozenset({"session_id"}) + assert AgentSessionDict.__optional_keys__ == frozenset({"type", "service_session_id", "state"}) + + +async def test_agent_executor_checkpoint_restore_missing_optional_fields() -> None: + """Restore accepts older partial payloads (missing optional TypedDict fields).""" + agent = _CountingAgent(id="partial_agent", name="PartialAgent") + executor = AgentExecutor(agent) + executor._cache = [Message(role="user", contents=["stale"])] # pyright: ignore[reportPrivateUsage] + + await executor.on_checkpoint_restore({}) + + assert executor._cache == [] # pyright: ignore[reportPrivateUsage] + assert executor._full_conversation == [] # pyright: ignore[reportPrivateUsage] + assert executor._pending_agent_requests == {} # pyright: ignore[reportPrivateUsage] + assert executor._pending_responses_to_agent == [] # pyright: ignore[reportPrivateUsage] + + +async def test_agent_executor_checkpoint_restore_rejects_malformed_fields() -> None: + """Restore raises WorkflowCheckpointException for wrong field types.""" + from agent_framework import Content, WorkflowCheckpointException + + agent = _CountingAgent(id="bad_agent", name="BadAgent") + executor = AgentExecutor(agent) + + with pytest.raises(WorkflowCheckpointException, match="cache"): + await executor.on_checkpoint_restore({"cache": "not-a-list"}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match=r"'cache'\[0\]"): + await executor.on_checkpoint_restore({"cache": ["not-a-message"]}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match="pending_responses_to_agent"): + await executor.on_checkpoint_restore({"pending_responses_to_agent": ["bad"]}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match="agent_session"): + await executor.on_checkpoint_restore({"agent_session": "not-a-dict"}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match="agent_session.session_id"): + await executor.on_checkpoint_restore({"agent_session": {}}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match="agent_session.session_id"): + await executor.on_checkpoint_restore({"agent_session": {"session_id": 1}}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match="agent_session.state"): + await executor.on_checkpoint_restore({"agent_session": {"session_id": "s", "state": []}}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match="pending_agent_requests"): + await executor.on_checkpoint_restore({"pending_agent_requests": []}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match="pending_agent_requests"): + await executor.on_checkpoint_restore({"pending_agent_requests": {1: Content(type="text", text="x")}}) # type: ignore[typeddict-item] + + with pytest.raises(WorkflowCheckpointException, match="pending_agent_requests"): + await executor.on_checkpoint_restore({"pending_agent_requests": {"req": "not-content"}}) # type: ignore[typeddict-item] + + +async def test_agent_executor_checkpoint_restore_ignores_unknown_keys() -> None: + """Forward-compatible restore ignores unknown checkpoint keys.""" + agent = _CountingAgent(id="fwd_agent", name="FwdAgent") + executor = AgentExecutor(agent) + + await executor.on_checkpoint_restore( + { + "cache": [Message(role="user", contents=["ok"])], + "future_field": {"ignored": True}, + } + ) + + assert len(executor._cache) == 1 # pyright: ignore[reportPrivateUsage] + assert executor._cache[0].text == "ok" # pyright: ignore[reportPrivateUsage] + + # --------------------------------------------------------------------------- # Per-executor kwargs resolution tests # --------------------------------------------------------------------------- From 87d4d0a5cc22581c3920ea4dafb0dd969fb427ae Mon Sep 17 00:00:00 2001 From: JHf0912 <2677569277@qq.com> Date: Mon, 21 Sep 2026 09:49:51 +0000 Subject: [PATCH 29/30] Python: feat(core): add session-scoped file access isolation (#8542) * feat(core): add session-scoped mode to FileAccessProvider Add an opt-in session_scoped mode (with an optional explicit scope) that confines file-access tool operations to a working folder derived from the session id via the shared _storage_key_segment derivation under the file-access-specific "~access-" prefix, mirroring FileMemoryProvider. The mode fails closed (ValueError) when neither a scope nor a session id is available, creates the session folder in before_run, appends a session-isolation note to the tool instructions, and logs the derived folder at debug level. All eight tools route store calls through a single _session_path helper; ls/grep treat an empty directory as the session root and grep results stay session-relative. Default mode is byte-for-byte unchanged. Adds seven regression tests, including the COLLIDING_IDENTIFIERS attack strings parametrization, fail-closed coverage, scope override, and shared-store default regression. All harness file-access tests pass; the only full-suite failure is the pre-existing test_feature_stage.py::test_feature_id_allows_lowercase_values on main. Addresses #8539. * feat(core): wire file_access_session_scoped through create_harness_agent Expose the FileAccessProvider session-scoped mode from create_harness_agent via a new file_access_session_scoped flag (default False, preserving shared-store semantics), threaded through _assemble_context_providers and synchronized across the .pyi stub and the package AGENTS.md file-access section. Adds a pass-through regression test. Addresses #8539. * docs(core): describe scoped file access isolation relative to the workspace The session-scoped instruction suffix claimed files are never visible to other sessions, which is wrong when an explicit scope intentionally shares a workspace across sessions. Rephrase the suffix, the class docstring, and the session_scoped parameter docs to describe isolation relative to the resolved workspace (session or configured scope). Addresses review feedback on PR #8542. * fix(core): harden session-scoped file access boundaries Address review feedback on PR #8542: - Normalize ls/grep directories with _normalize_relative_path(..., is_directory=True) in scoped mode so a ".." directory cannot escape the session workspace through a permissive custom store. - Place every scoped working folder under a fixed ~access- namespace directory, so file access and file memory working folders cannot collide when both providers share one store root and a literal-safe identifier. - Treat a non-empty explicit scope as enabling scoped mode by itself, aligning with FileMemoryProvider(scope=...). Adds parent-traversal, namespace-collision, and scope-only regression tests and updates layout assertions to the namespaced folder shape. All harness suites pass; ruff clean. --- python/packages/core/AGENTS.md | 2 +- .../core/agent_framework/_harness/_agent.py | 8 + .../core/agent_framework/_harness/_agent.pyi | 1 + .../agent_framework/_harness/_file_access.py | 140 ++++++++++-- .../core/tests/core/test_harness_agent.py | 22 ++ .../tests/core/test_harness_file_access.py | 207 +++++++++++++++++- 6 files changed, 359 insertions(+), 21 deletions(-) diff --git a/python/packages/core/AGENTS.md b/python/packages/core/AGENTS.md index 43106150796..aabfef33b0b 100644 --- a/python/packages/core/AGENTS.md +++ b/python/packages/core/AGENTS.md @@ -205,7 +205,7 @@ The vector store API is experimental under the shared `VECTOR_STORES` feature ID - **`FileSystemAgentFileStore`** - Disk-backed store rooted under a configurable directory. Enforces relative-path normalization, root containment, and rejects symlink/reparse-point segments to prevent escape. - **`FileSearchResult`** / **`FileSearchMatch`** - `SerializationMixin` DTOs returned by `search`, carrying the matching file name, a context snippet, and the matching lines with 1-based line numbers. Implementers should report each matching line verbatim, including its own terminator, so it can be reused as a `file_access_replace_lines` `new_line`; the pattern itself is matched against the line with its whole terminator removed, so `^`/`$` anchor to the line's text on a CRLF file as they already did on an LF one. A custom store populates these DTOs from its own `search`; the verbatim text is a recommendation, but the line number is not — it must address `split_lines`. - **`FileStoreEntry`** - `SerializationMixin` DTO returned by `list_children`, carrying an entry `name` and `type` (`"file"` or `"directory"`). -- **`FileAccessProvider`** - `ContextProvider` that adds shared file-access tools (`file_access_write`, `file_access_read`, `file_access_read_lines`, `file_access_delete`, `file_access_ls`, `file_access_grep`, `file_access_replace`, `file_access_replace_lines`) plus default usage instructions to each invocation. `file_access_ls` enumerates direct children (both files and subdirectories) as `{name, type}` entries with an optional `glob_pattern`, so the agent can walk the tree level by level; `file_access_grep` searches recursively from an optional base `directory` and returns relative `file_name` paths, scoped via an `fnmatch` `glob_pattern` (where `*` crosses `/`, e.g. `*.md`, `reports/*`). `file_access_replace` substitutes `old_string` with `new_string` (failing if not found, or if multiple matches and `replace_all` is false); `file_access_replace_lines` replaces whole 1-based lines with literal text (each `new_line` includes its own trailing newline; an empty `new_line` deletes the line, including its line break). `file_access_read_lines` returns a 1-based inclusive line range, one line per row as `\t`; `end_line` may be omitted to read to the end of the file, and an `end_line` past the last line clamps to it. Everything after the tab is verbatim, including the line's own terminator (which therefore doubles as the row separator), so a row's text can be fed straight back as a `file_access_replace_lines` `new_line` without losing a `\r\n`. Its line numbering comes from the same `_split_lines_keepends` split as `file_access_replace_lines` and as the stores in this package, so with one of those a number reported by grep addresses the same line in all three tools, including the trailing empty line of a newline-terminated file; grep itself runs through `AgentFileStore.search`, which must number by the same split but does not inherit it, so a store overriding `search` owns its numbering and nothing verifies it at run time. All tools are registered with `approval_mode="always_require"` by default, so every file operation needs host approval. Pass `disable_write_tools=True` to advertise only the read-only tools. To run unattended you can disable approval at the source with `disable_readonly_tool_approval=True` (read, read_lines, ls, grep) and/or `disable_write_tool_approval=True` (write, delete, replace, replace_lines), which register the affected tools with `approval_mode="never_require"`; alternatively, keep approval on and pass one of the static auto-approval rules to `ToolApprovalMiddleware` (via `auto_approval_rules`): `FileAccessProvider.read_only_tools_auto_approval_rule` approves only the read-only tools (read, read_lines, ls, grep), while `FileAccessProvider.all_tools_auto_approval_rule` approves every file-access tool including the write tools. Both rules reject any call carrying a `server_label` so they stay scoped to this provider's local tools and never auto-approve a same-named hosted tool. The tool names are also exposed as class constants (`WRITE_TOOL_NAME`, `READ_TOOL_NAME`, `READ_LINES_TOOL_NAME`, `DELETE_TOOL_NAME`, `LS_TOOL_NAME`, `GREP_TOOL_NAME`, `REPLACE_TOOL_NAME`, `REPLACE_LINES_TOOL_NAME`). Unlike `MemoryContextProvider`, the store is intentionally shared across sessions and agents. +- **`FileAccessProvider`** - `ContextProvider` that adds shared file-access tools (`file_access_write`, `file_access_read`, `file_access_read_lines`, `file_access_delete`, `file_access_ls`, `file_access_grep`, `file_access_replace`, `file_access_replace_lines`) plus default usage instructions to each invocation. `file_access_ls` enumerates direct children (both files and subdirectories) as `{name, type}` entries with an optional `glob_pattern`, so the agent can walk the tree level by level; `file_access_grep` searches recursively from an optional base `directory` and returns relative `file_name` paths, scoped via an `fnmatch` `glob_pattern` (where `*` crosses `/`, e.g. `*.md`, `reports/*`). `file_access_replace` substitutes `old_string` with `new_string` (failing if not found, or if multiple matches and `replace_all` is false); `file_access_replace_lines` replaces whole 1-based lines with literal text (each `new_line` includes its own trailing newline; an empty `new_line` deletes the line, including its line break). `file_access_read_lines` returns a 1-based inclusive line range, one line per row as `\t`; `end_line` may be omitted to read to the end of the file, and an `end_line` past the last line clamps to it. Everything after the tab is verbatim, including the line's own terminator (which therefore doubles as the row separator), so a row's text can be fed straight back as a `file_access_replace_lines` `new_line` without losing a `\r\n`. Its line numbering comes from the same `_split_lines_keepends` split as `file_access_replace_lines` and as the stores in this package, so with one of those a number reported by grep addresses the same line in all three tools, including the trailing empty line of a newline-terminated file; grep itself runs through `AgentFileStore.search`, which must number by the same split but does not inherit it, so a store overriding `search` owns its numbering and nothing verifies it at run time. All tools are registered with `approval_mode="always_require"` by default, so every file operation needs host approval. Pass `disable_write_tools=True` to advertise only the read-only tools. To run unattended you can disable approval at the source with `disable_readonly_tool_approval=True` (read, read_lines, ls, grep) and/or `disable_write_tool_approval=True` (write, delete, replace, replace_lines), which register the affected tools with `approval_mode="never_require"`; alternatively, keep approval on and pass one of the static auto-approval rules to `ToolApprovalMiddleware` (via `auto_approval_rules`): `FileAccessProvider.read_only_tools_auto_approval_rule` approves only the read-only tools (read, read_lines, ls, grep), while `FileAccessProvider.all_tools_auto_approval_rule` approves every file-access tool including the write tools. Both rules reject any call carrying a `server_label` so they stay scoped to this provider's local tools and never auto-approve a same-named hosted tool. The tool names are also exposed as class constants (`WRITE_TOOL_NAME`, `READ_TOOL_NAME`, `READ_LINES_TOOL_NAME`, `DELETE_TOOL_NAME`, `LS_TOOL_NAME`, `GREP_TOOL_NAME`, `REPLACE_TOOL_NAME`, `REPLACE_LINES_TOOL_NAME`). Unlike `MemoryContextProvider`, the store is intentionally shared across sessions and agents; pass `session_scoped=True` (with an optional explicit `scope`) to confine tool operations to a working folder derived from the session id or scope via the shared `_storage_key_segment` derivation (the provider fails closed when neither is available). ### File Memory Harness (`_harness/_file_memory.py`) diff --git a/python/packages/core/agent_framework/_harness/_agent.py b/python/packages/core/agent_framework/_harness/_agent.py index e5abc1c4dc8..fbb9536b90f 100644 --- a/python/packages/core/agent_framework/_harness/_agent.py +++ b/python/packages/core/agent_framework/_harness/_agent.py @@ -154,6 +154,7 @@ def _assemble_context_providers( disable_file_memory: bool, file_memory_store: AgentFileStore | None, file_access_store: AgentFileStore | None, + file_access_session_scoped: bool, file_access_disable_write_tools: bool, file_access_disable_readonly_tool_approval: bool, file_access_disable_write_tool_approval: bool, @@ -196,6 +197,7 @@ def _assemble_context_providers( disable_write_tools=file_access_disable_write_tools, disable_readonly_tool_approval=file_access_disable_readonly_tool_approval, disable_write_tool_approval=file_access_disable_write_tool_approval, + session_scoped=file_access_session_scoped, ) ) @@ -330,6 +332,7 @@ def create_harness_agent( disable_file_memory: bool = False, file_memory_store: AgentFileStore | None = None, file_access_store: AgentFileStore | None = None, + file_access_session_scoped: bool = False, file_access_disable_write_tools: bool = False, file_access_disable_readonly_tool_approval: bool = False, file_access_disable_write_tool_approval: bool = False, @@ -454,6 +457,10 @@ def create_harness_agent( opt-in: when None (default), no FileAccessProvider is added and the agent has no file access tools. When set, a FileAccessProvider is added, giving the agent shared read/write file tools backed by the supplied store. + file_access_session_scoped: When True, the FileAccessProvider confines tool operations + to a working folder derived from the active session id, so files are isolated per + session instead of shared across sessions. When False (default), the shared-store + semantics are preserved. Only used when file_access_store is set. file_access_disable_write_tools: When True, the FileAccessProvider advertises only its read-only tools (read, read_lines, ls, grep); the write tools (write, delete, replace, replace_lines) are hidden. When False (default), all tools are advertised. Only @@ -608,6 +615,7 @@ def create_harness_agent( disable_file_memory=disable_file_memory, file_memory_store=file_memory_store, file_access_store=file_access_store, + file_access_session_scoped=file_access_session_scoped, file_access_disable_write_tools=file_access_disable_write_tools, file_access_disable_readonly_tool_approval=file_access_disable_readonly_tool_approval, file_access_disable_write_tool_approval=file_access_disable_write_tool_approval, diff --git a/python/packages/core/agent_framework/_harness/_agent.pyi b/python/packages/core/agent_framework/_harness/_agent.pyi index 0c561f92358..a56ee836ff0 100644 --- a/python/packages/core/agent_framework/_harness/_agent.pyi +++ b/python/packages/core/agent_framework/_harness/_agent.pyi @@ -71,6 +71,7 @@ def create_harness_agent( disable_file_memory: bool = False, file_memory_store: AgentFileStore | None = None, file_access_store: AgentFileStore | None = None, + file_access_session_scoped: bool = False, file_access_disable_write_tools: bool = False, file_access_disable_readonly_tool_approval: bool = False, file_access_disable_write_tool_approval: bool = False, diff --git a/python/packages/core/agent_framework/_harness/_file_access.py b/python/packages/core/agent_framework/_harness/_file_access.py index 5bfc6f592a8..c7c48dae495 100644 --- a/python/packages/core/agent_framework/_harness/_file_access.py +++ b/python/packages/core/agent_framework/_harness/_file_access.py @@ -30,13 +30,13 @@ from abc import ABC, abstractmethod from collections.abc import Awaitable, Mapping, MutableMapping from pathlib import Path -from typing import Annotated, Any, ClassVar, Protocol, cast +from typing import Annotated, Any, ClassVar, Final, Protocol, cast import regex from pydantic import BaseModel, Field from .._feature_stage import ExperimentalFeature, experimental -from .._filesystem import _is_link_or_reparse_point # pyright: ignore[reportPrivateUsage] +from .._filesystem import _is_link_or_reparse_point, _storage_key_segment # pyright: ignore[reportPrivateUsage] from .._serialization import SerializationMixin from .._sessions import AgentSession, ContextProvider, SessionContext from .._telemetry import FeatureIndex, mark_feature_used @@ -65,6 +65,24 @@ "`file_access_replace_lines`. Reading the whole file first is rarely necessary." ) +# Prefix for session-derived working folders in session-scoped mode. Kept +# distinct from the other component prefixes so the same identifier under a +# different component never shares a storage location. +_ENCODED_FILE_ACCESS_SESSION_PREFIX: Final[str] = "~access-" +# Fixed namespace directory that wraps every session-scoped working folder. +# _storage_key_segment returns literal-safe identifiers (such as "session-1") +# unchanged, so without this outer segment a FileMemoryProvider and a +# session-scoped FileAccessProvider sharing one store root would derive the +# same working folder and could overwrite each other's files. +_FILE_ACCESS_WORKSPACE_NAMESPACE: Final[str] = "~access-" + +# Instruction suffix appended when session-scoped mode is enabled, so the model +# does not assume files are shared outside the resolved workspace. +_SESSION_SCOPED_INSTRUCTIONS_SUFFIX = ( + "\n- Your file workspace is isolated to the current session or configured scope: files written " + "here are not visible outside that workspace." +) + # Maximum number of characters of context to include on either side of the first # regex match when building a result snippet. _SEARCH_SNIPPET_RADIUS = 50 @@ -233,6 +251,15 @@ async def _run_search_with_timeout( raise ValueError(_search_timeout_message()) from exc +def _combine_paths(base_path: str, relative_path: str) -> str: + """Join a working-folder path with a relative path using forward slashes.""" + if not base_path: + return relative_path + if not relative_path: + return base_path + return f"{base_path.rstrip('/')}/{relative_path.lstrip('/')}" + + def _normalize_relative_path(path: str, *, is_directory: bool = False) -> str: """Normalize and validate a relative store path. @@ -1683,10 +1710,12 @@ class FileAccessProvider(ContextProvider): Unlike :class:`~agent_framework.MemoryContextProvider`, which provides session-scoped memory that may be isolated per session, - :class:`FileAccessProvider` operates on a shared, persistent store whose - contents are visible across sessions and agents. The store is passed in by - the caller and should already be scoped to the desired folder or storage - location. + :class:`FileAccessProvider` operates by default on a shared, persistent + store whose contents are visible across sessions and agents. Pass + ``session_scoped=True`` (with an optional explicit ``scope``) to confine + tool operations to a workspace derived from the session id or scope + instead. The store is passed in by the caller and should already be scoped + to the desired folder or storage location. By default all tools require approval: each is registered with ``approval_mode="always_require"`` so the host must approve every file @@ -1766,6 +1795,8 @@ def __init__( disable_write_tools: bool = False, disable_readonly_tool_approval: bool = False, disable_write_tool_approval: bool = False, + session_scoped: bool = False, + scope: str | None = None, ) -> None: """Initialize the file access provider. @@ -1792,6 +1823,20 @@ def __init__( ``file_access_replace``, ``file_access_replace_lines``) are registered with ``approval_mode="never_require"`` so they run without host approval. Defaults to ``False`` (approval required). + session_scoped: When ``True``, tool operations are confined to a + working folder derived from the active session id (or the + explicit ``scope``), so files are isolated to that workspace: + per session by default, or shared across sessions when an + explicit ``scope`` is set. Defaults to ``False``, preserving + the shared-store semantics. Passing a non-empty ``scope`` + also enables scoped mode. + scope: The namespace that logically groups and isolates files + (for example, a user or tenant id). A non-empty ``scope`` + enables scoped mode by itself; when ``None`` (the default) + and ``session_scoped`` is ``True``, the active session's + ``session_id`` is used. The value is treated as an opaque + key rather than a path: it is mapped onto exactly one folder + by :func:`~agent_framework._filesystem._storage_key_segment`. """ super().__init__(source_id) self.store = store @@ -1799,6 +1844,8 @@ def __init__( self.disable_write_tools = disable_write_tools self.disable_readonly_tool_approval = disable_readonly_tool_approval self.disable_write_tool_approval = disable_write_tool_approval + self.session_scoped = session_scoped + self.scope = scope # Serializes mutating tool operations (write/delete/replace/replace_lines). # The provider is shared across sessions/agents, so read-modify-write tools # (replace/replace_lines) could otherwise interleave and lose updates. Note @@ -1806,6 +1853,36 @@ def __init__( # processes sharing a FileSystemAgentFileStore on disk. self._write_lock = asyncio.Lock() + def _resolve_session_key(self, context: SessionContext) -> str: + """Resolve the working folder key for session-scoped mode. + + Uses the configured ``scope`` when set, otherwise the session id. The + value is an opaque namespace key, not a path: it is mapped to exactly + one folder name by :func:`~agent_framework._filesystem._storage_key_segment`. + That derivation is injective except for pathologically long values, + which fall back to a collision-resistant digest. Two byte-distinct + scopes or session ids therefore do not resolve to the same working + folder, so a caller authorized for one of them cannot reach another's + files. The derived segment is placed inside a fixed ``~access-`` + namespace directory, so a session-scoped file-access working folder + can never collide with a file-memory working folder even when both + providers share one store root and a literal-safe identifier. + + Raises: + ValueError: When neither ``scope`` nor the session id yields a + namespace. Without one there is nothing to isolate on, and + falling back to the store root would expose every other + session's files. + """ + raw_scope = self.scope or context.session_id or "" + if not raw_scope: + raise ValueError( + "FileAccessProvider session-scoped mode requires a scope: pass an explicit 'scope' or run with a " + "session that has a 'session_id'. Without one, files cannot be isolated from other sessions." + ) + segment = _storage_key_segment(raw_scope, encoded_prefix=_ENCODED_FILE_ACCESS_SESSION_PREFIX) + return _combine_paths(_FILE_ACCESS_WORKSPACE_NAMESPACE, segment) + @staticmethod def _is_local_tool_call(function_call: Content) -> bool: """Return whether a function call targets this provider's local tools. @@ -1909,13 +1986,26 @@ async def before_run( readonly_approval: ApprovalMode = "never_require" if self.disable_readonly_tool_approval else "always_require" write_approval: ApprovalMode = "never_require" if self.disable_write_tool_approval else "always_require" + session_key = self._resolve_session_key(context) if (self.session_scoped or bool(self.scope)) else "" + if session_key: + logger.debug("Session-scoped file access using working folder %r.", session_key) + await self.store.create_directory(session_key) + + def _session_path(relative_path: str) -> str: + return _combine_paths(session_key, relative_path) + + instructions = self.instructions + if session_key: + instructions += _SESSION_SCOPED_INSTRUCTIONS_SUFFIX + @tool(name=FileAccessProvider.WRITE_TOOL_NAME, schema=_WriteFileInput, approval_mode=write_approval) async def file_access_write(file_name: str, content: str, overwrite: bool = False) -> str: """Write a file with the given name and content. By default, does not overwrite an existing file unless overwrite is set to true.""" # ruff:ignore[line-too-long] try: normalized = _normalize_relative_path(file_name) + store_path = _session_path(normalized) async with self._write_lock: - await self.store.write(normalized, content, overwrite=overwrite) + await self.store.write(store_path, content, overwrite=overwrite) except FileExistsError: return f"File '{file_name}' already exists. To replace it, write again with overwrite set to true." except ValueError as exc: @@ -1929,7 +2019,7 @@ async def file_access_read(file_name: str) -> str: r"""Read the content of a file by name. Returns the file content or a message indicating the file could not be read. Line numbers count lines split on \n only: a lone \r never starts a new line, each line keeps its own terminator, and content ending in a newline has a final empty line.""" # ruff:ignore[line-too-long] try: normalized = _normalize_relative_path(file_name) - content = await self.store.read(normalized) + content = await self.store.read(_session_path(normalized)) except ValueError as exc: return f"Could not read file '{file_name}': {exc}" except OSError as exc: @@ -1945,7 +2035,7 @@ async def file_access_read_lines(file_name: str, start_line: int, end_line: int r"""Read part of a file by 1-based inclusive line number; omit end_line to read to the end of the file, and an end_line past the last line is clamped. Each line is prefixed with its number and a tab; everything after that tab is verbatim, including the line's own terminator, so it can be reused as a file_access_replace_lines new_line. Line numbers count lines split on \n only: a lone \r never starts a new line, each line keeps its own terminator, and content ending in a newline has a final empty line.""" # ruff:ignore[line-too-long] try: normalized = _normalize_relative_path(file_name) - content = await self.store.read(normalized) + content = await self.store.read(_session_path(normalized)) if content is None: return f"File '{file_name}' not found." sliced = _slice_lines(content, start_line, end_line) @@ -1961,8 +2051,9 @@ async def file_access_delete(file_name: str) -> str: """Delete a file by name.""" try: normalized = _normalize_relative_path(file_name) + store_path = _session_path(normalized) async with self._write_lock: - deleted = await self.store.delete(normalized) + deleted = await self.store.delete(store_path) except ValueError as exc: return f"Could not delete file '{file_name}': {exc}" except OSError as exc: @@ -1977,7 +2068,12 @@ async def file_access_ls( """List the direct child files and subdirectories of a directory. Omit ``directory`` (or pass an empty string) to list the root. To enumerate a subdirectory, pass its relative path, for example ``"reports"`` or ``"reports/2024"``. Optionally filter entries with a ``glob_pattern`` (e.g. ``"*.md"``). Subdirectories are listed before files, and each entry is ``{"name": , "type": "file"|"directory"}``.""" # ruff:ignore[line-too-long] target = directory if directory and directory.strip() else "" try: - listed = await self.store.list_children(target) + if session_key: + normalized_target = _normalize_relative_path(target, is_directory=True) if target else "" + store_target = _session_path(normalized_target) if normalized_target else session_key + else: + store_target = target + listed = await self.store.list_children(store_target) except ValueError as exc: return f"Could not list directory '{directory or ''}': {exc}" except OSError as exc: @@ -1996,12 +2092,13 @@ async def file_access_replace( """Replace occurrences of old_string with new_string in a file. Fails if old_string is not found, or if it occurs more than once and replace_all is false. Returns the number of occurrences replaced.""" # ruff:ignore[line-too-long] try: normalized = _normalize_relative_path(file_name) + store_path = _session_path(normalized) async with self._write_lock: - content = await self.store.read(normalized) + content = await self.store.read(store_path) if content is None: return f"File '{file_name}' not found." new_content, count = _apply_replace(content, old_string, new_string, replace_all) - await self.store.write(normalized, new_content, overwrite=True) + await self.store.write(store_path, new_content, overwrite=True) except ValueError as exc: return f"Could not replace in file '{file_name}': {exc}" except OSError as exc: @@ -2017,12 +2114,13 @@ async def file_access_replace_lines(file_name: str, edits: list[_LineEdit]) -> s r"""Replace lines in a file. Provide a list of edits, each with a 1-based line_number and a literal new_line (include your own trailing newline); an empty new_line deletes the line, including its line break. Fails on out-of-range or duplicate line numbers. Line numbers count lines split on \n only: a lone \r never starts a new line, each line keeps its own terminator, and content ending in a newline has a final empty line.""" # ruff:ignore[line-too-long] try: normalized = _normalize_relative_path(file_name) + store_path = _session_path(normalized) async with self._write_lock: - content = await self.store.read(normalized) + content = await self.store.read(store_path) if content is None: return f"File '{file_name}' not found." new_content = _apply_replace_lines(content, _line_edits(edits)) - await self.store.write(normalized, new_content, overwrite=True) + await self.store.write(store_path, new_content, overwrite=True) except ValueError as exc: return f"Could not edit file '{file_name}': {exc}" except OSError as exc: @@ -2056,14 +2154,20 @@ async def file_access_grep( glob_filter = glob_pattern if glob_pattern and glob_pattern.strip() else None target = directory if directory and directory.strip() else "" try: - results = await self.store.search(target, regex_pattern, glob_filter, recursive=True) + if session_key: + normalized_target = _normalize_relative_path(target, is_directory=True) if target else "" + store_target = _session_path(normalized_target) if normalized_target else session_key + else: + normalized_target = target + store_target = target + results = await self.store.search(store_target, regex_pattern, glob_filter, recursive=True) except ValueError as exc: return f"Could not search files: {exc}" except OSError as exc: return f"Could not search files: {exc.strerror or exc}" # ``store.search`` returns ``file_name`` relative to ``target``; re-root it to the store # root so the names compose directly with file_access_read/replace/delete. - prefix = target.strip("/") + prefix = normalized_target.strip("/") output: list[dict[str, Any]] = [] for result in results: entry = result.to_dict() @@ -2072,7 +2176,7 @@ async def file_access_grep( output.append(entry) return output - context.extend_instructions(self.source_id, [self.instructions]) + context.extend_instructions(self.source_id, [instructions]) tools = [file_access_read, file_access_read_lines, file_access_ls, file_access_grep] if not self.disable_write_tools: tools.extend([file_access_write, file_access_delete, file_access_replace, file_access_replace_lines]) diff --git a/python/packages/core/tests/core/test_harness_agent.py b/python/packages/core/tests/core/test_harness_agent.py index 41030e3bd08..ae7ff32020b 100644 --- a/python/packages/core/tests/core/test_harness_agent.py +++ b/python/packages/core/tests/core/test_harness_agent.py @@ -255,6 +255,28 @@ def test_create_harness_agent_file_access_approval_opt_outs() -> None: assert access_provider.disable_write_tool_approval is True +def test_create_harness_agent_file_access_session_scoped_flag() -> None: + """The file_access_session_scoped flag should reach the FileAccessProvider.""" + default_agent = create_harness_agent( + client=_FakeChatClient(), # type: ignore[arg-type] + max_context_window_tokens=128_000, + max_output_tokens=16_384, + file_access_store=InMemoryAgentFileStore(), + ) + default_provider = next(p for p in default_agent.context_providers if isinstance(p, FileAccessProvider)) + assert default_provider.session_scoped is False + + scoped_agent = create_harness_agent( + client=_FakeChatClient(), # type: ignore[arg-type] + max_context_window_tokens=128_000, + max_output_tokens=16_384, + file_access_store=InMemoryAgentFileStore(), + file_access_session_scoped=True, + ) + scoped_provider = next(p for p in scoped_agent.context_providers if isinstance(p, FileAccessProvider)) + assert scoped_provider.session_scoped is True + + def test_create_harness_agent_default_file_stores_are_filesystem( tmp_path: Path, monkeypatch: pytest.MonkeyPatch ) -> None: diff --git a/python/packages/core/tests/core/test_harness_file_access.py b/python/packages/core/tests/core/test_harness_file_access.py index 68ef1e775ce..9cbffc96abf 100644 --- a/python/packages/core/tests/core/test_harness_file_access.py +++ b/python/packages/core/tests/core/test_harness_file_access.py @@ -21,6 +21,7 @@ Content, ExperimentalFeature, FileAccessProvider, + FileMemoryProvider, FileSearchMatch, FileSearchResult, FileStoreEntry, @@ -28,9 +29,13 @@ FunctionTool, InMemoryAgentFileStore, Message, + SessionContext, SupportsChatGetResponse, ) -from agent_framework._filesystem import _is_link_or_reparse_point +from agent_framework._filesystem import ( # pyright: ignore[reportPrivateUsage] + _is_link_or_reparse_point, + _storage_key_segment, +) from agent_framework._harness import _file_access as _file_access_module from agent_framework._harness._file_access import ( _SEARCH_SNIPPET_RADIUS, @@ -44,6 +49,7 @@ ) from .conftest import create_junction_or_skip +from .test_filesystem import COLLIDING_IDENTIFIERS async def _list_files(store: AgentFileStore, directory: str = "") -> list[str]: @@ -1273,14 +1279,19 @@ async def _prepare_access_tools( disable_write_tools: bool = False, disable_readonly_tool_approval: bool = False, disable_write_tool_approval: bool = False, + session_id: str | None = "session-1", + session_scoped: bool = False, + scope: str | None = None, ) -> list[object]: """Prepare a FileAccessProvider and return its registered tools.""" - session = AgentSession(session_id="session-1") + session = AgentSession(session_id=session_id) provider = FileAccessProvider( store=store if store is not None else InMemoryAgentFileStore(), disable_write_tools=disable_write_tools, disable_readonly_tool_approval=disable_readonly_tool_approval, disable_write_tool_approval=disable_write_tool_approval, + session_scoped=session_scoped, + scope=scope, ) agent = Agent(client=chat_client_base, context_providers=[provider]) _, options = await agent._prepare_session_and_messages( # pyright: ignore[reportPrivateUsage] @@ -1998,3 +2009,195 @@ async def test_grep_matches_a_lone_carriage_return_as_content( payload = json.loads(_text((await grep.invoke(arguments={"regex_pattern": r"alpha\r$"}))[0])) assert payload[0]["matching_lines"][0]["line_number"] == 1 + + +# region Session isolation: session-scoped mode derives an injective working folder +# from the session id (or explicit scope) via _storage_key_segment, mirroring +# FileMemoryProvider. Default mode keeps the shared-store semantics untouched. + + +async def test_session_scoped_provider_isolates_sessions(chat_client_base: SupportsChatGetResponse) -> None: + """Two sessions must write the same file name into distinct working folders.""" + store = InMemoryAgentFileStore() + tools_a = await _prepare_access_tools(chat_client_base, store=store, session_id="session-a", session_scoped=True) + tools_b = await _prepare_access_tools(chat_client_base, store=store, session_id="session-b", session_scoped=True) + + await _tool_by_name(tools_a, "file_access_write").invoke(arguments={"file_name": "notes.txt", "content": "AAA"}) + await _tool_by_name(tools_b, "file_access_write").invoke(arguments={"file_name": "notes.txt", "content": "BBB"}) + + dirs = await _list_dirs(store) + assert dirs == ["~access-"] + session_dirs = await _list_dirs(store, "~access-") + assert len(session_dirs) == 2 + assert session_dirs[0] != session_dirs[1] + assert await _list_files(store) == [] + + read_a = await _tool_by_name(tools_a, "file_access_read").invoke(arguments={"file_name": "notes.txt"}) + read_b = await _tool_by_name(tools_b, "file_access_read").invoke(arguments={"file_name": "notes.txt"}) + assert _text(read_a[0]) == "AAA" + assert _text(read_b[0]) == "BBB" + + +@pytest.mark.parametrize("other_id", COLLIDING_IDENTIFIERS[1:]) +async def test_session_scoped_provider_isolates_colliding_session_ids( + chat_client_base: SupportsChatGetResponse, other_id: str +) -> None: + """Identifiers a lossy normalizer would fold must map to distinct working folders.""" + store = InMemoryAgentFileStore() + tools_base = await _prepare_access_tools( + chat_client_base, store=store, session_id="customer-42", session_scoped=True + ) + tools_other = await _prepare_access_tools(chat_client_base, store=store, session_id=other_id, session_scoped=True) + + await _tool_by_name(tools_base, "file_access_write").invoke(arguments={"file_name": "f.txt", "content": "BASE"}) + await _tool_by_name(tools_other, "file_access_write").invoke(arguments={"file_name": "f.txt", "content": "OTHER"}) + + assert await _list_dirs(store) == ["~access-"] + assert len(await _list_dirs(store, "~access-")) == 2 + read_base = await _tool_by_name(tools_base, "file_access_read").invoke(arguments={"file_name": "f.txt"}) + read_other = await _tool_by_name(tools_other, "file_access_read").invoke(arguments={"file_name": "f.txt"}) + assert _text(read_base[0]) == "BASE" + assert _text(read_other[0]) == "OTHER" + + +async def test_session_scoped_provider_fails_closed_without_session_or_scope() -> None: + """Session-scoped mode must raise instead of falling back to the shared store root.""" + provider = FileAccessProvider(store=InMemoryAgentFileStore(), session_scoped=True) + session = AgentSession() + context = SessionContext(session_id=None, input_messages=[]) + + with pytest.raises(ValueError, match="session"): + await provider.before_run(agent=None, session=session, context=context, state={}) + + +async def test_session_scoped_provider_scope_overrides_session(chat_client_base: SupportsChatGetResponse) -> None: + """An explicit scope must group files across sessions and win over the session id.""" + store = InMemoryAgentFileStore() + tools_a = await _prepare_access_tools( + chat_client_base, store=store, session_id="session-a", session_scoped=True, scope="tenant-1" + ) + tools_b = await _prepare_access_tools( + chat_client_base, store=store, session_id="session-b", session_scoped=True, scope="tenant-1" + ) + + await _tool_by_name(tools_a, "file_access_write").invoke(arguments={"file_name": "shared.md", "content": "SHARED"}) + read_b = await _tool_by_name(tools_b, "file_access_read").invoke(arguments={"file_name": "shared.md"}) + + assert _text(read_b[0]) == "SHARED" + assert await _list_dirs(store) == ["~access-"] + assert len(await _list_dirs(store, "~access-")) == 1 + + +async def test_session_scoped_provider_grep_returns_session_relative_names( + chat_client_base: SupportsChatGetResponse, +) -> None: + """Grep results must stay relative to the session root, not the store root or the session folder.""" + store = InMemoryAgentFileStore() + tools = await _prepare_access_tools(chat_client_base, store=store, session_id="session-a", session_scoped=True) + + await _tool_by_name(tools, "file_access_write").invoke( + arguments={"file_name": "docs/notes.txt", "content": "hello world"} + ) + payload = json.loads( + _text((await _tool_by_name(tools, "file_access_grep").invoke(arguments={"regex_pattern": "hello"}))[0]) + ) + + assert payload[0]["file_name"] == "docs/notes.txt" + + +async def test_session_scoped_disabled_keeps_shared_store_semantics( + chat_client_base: SupportsChatGetResponse, +) -> None: + """Default mode must keep writing to the shared store root without session folders.""" + store = InMemoryAgentFileStore() + tools_a = await _prepare_access_tools(chat_client_base, store=store, session_id="session-a") + tools_b = await _prepare_access_tools(chat_client_base, store=store, session_id="session-b") + + await _tool_by_name(tools_a, "file_access_write").invoke(arguments={"file_name": "notes.txt", "content": "AAA"}) + await _tool_by_name(tools_b, "file_access_write").invoke( + arguments={"file_name": "notes.txt", "content": "BBB", "overwrite": True} + ) + + assert await _list_dirs(store) == [] + assert await _list_files(store) == ["notes.txt"] + read_b = await _tool_by_name(tools_b, "file_access_read").invoke(arguments={"file_name": "notes.txt"}) + assert _text(read_b[0]) == "BBB" + + +def test_session_scoped_provider_uses_file_access_namespace_prefix() -> None: + """The session key derivation must use the file-access-specific encoded prefix.""" + assert _storage_key_segment("Session-a", encoded_prefix="~access-") != _storage_key_segment( + "Session-a", encoded_prefix="~scope-" + ) + + +async def test_session_scoped_ls_rejects_parent_traversal(chat_client_base: SupportsChatGetResponse) -> None: + """A '..' directory must not escape the session workspace, even against a permissive store.""" + store = InMemoryAgentFileStore() + tools = await _prepare_access_tools(chat_client_base, store=store, session_id="session-a", session_scoped=True) + await _tool_by_name(tools, "file_access_write").invoke(arguments={"file_name": "notes.txt", "content": "AAA"}) + + result = await _tool_by_name(tools, "file_access_ls").invoke(arguments={"directory": ".."}) + + assert "Could not list directory" in _text(result[0]) + assert await _list_dirs(store) == ["~access-"] + assert await _list_dirs(store, "~access-") == ["session-a"] + + +async def test_session_scoped_grep_rejects_parent_traversal(chat_client_base: SupportsChatGetResponse) -> None: + """A '..' search directory must not reach sibling sessions' files.""" + store = InMemoryAgentFileStore() + tools = await _prepare_access_tools(chat_client_base, store=store, session_id="session-a", session_scoped=True) + await _tool_by_name(tools, "file_access_write").invoke( + arguments={"file_name": "notes.txt", "content": "hello world"} + ) + + result = await _tool_by_name(tools, "file_access_grep").invoke( + arguments={"regex_pattern": "hello", "directory": ".."} + ) + + assert "Could not search files" in _text(result[0]) + + +async def test_session_scoped_namespace_does_not_collide_with_file_memory( + chat_client_base: SupportsChatGetResponse, +) -> None: + """File access and file memory working folders must stay distinct on a shared store root.""" + store = InMemoryAgentFileStore() + access_tools = await _prepare_access_tools( + chat_client_base, store=store, session_id="session-a", session_scoped=True + ) + memory_provider = FileMemoryProvider(store=store) + memory_session = AgentSession(session_id="session-a") + memory_context = SessionContext(session_id="session-a", input_messages=[]) + await memory_provider.before_run(agent=None, session=memory_session, context=memory_context, state={}) + memory_tools = {tool.name: tool for tool in memory_context.tools} + + await _tool_by_name(access_tools, "file_access_write").invoke( + arguments={"file_name": "notes.txt", "content": "ACCESS"} + ) + await memory_tools["file_memory_write"].invoke(arguments={"file_name": "notes.txt", "content": "MEMORY"}) + + assert sorted(await _list_dirs(store)) == ["session-a", "~access-"] + read_access = await _tool_by_name(access_tools, "file_access_read").invoke(arguments={"file_name": "notes.txt"}) + read_memory = await memory_tools["file_memory_read"].invoke(arguments={"file_name": "notes.txt"}) + assert _text(read_access[0]) == "ACCESS" + assert _text(read_memory[0]) == "MEMORY" + + +async def test_scope_alone_enables_scoped_mode(chat_client_base: SupportsChatGetResponse) -> None: + """A non-empty scope enables scoped mode without the session_scoped flag.""" + store = InMemoryAgentFileStore() + tools = await _prepare_access_tools(chat_client_base, store=store, session_id="session-a", scope="tenant-1") + + await _tool_by_name(tools, "file_access_write").invoke(arguments={"file_name": "f.txt", "content": "SCOPED"}) + + assert await _list_dirs(store) == ["~access-"] + inner_dirs = await _list_dirs(store, "~access-") + assert len(inner_dirs) == 1 + assert await _list_files(store, f"~access-/{inner_dirs[0]}") == ["f.txt"] + + # A scope alone must also satisfy before_run when no session id is available. + provider = FileAccessProvider(store=store, scope="tenant-1") + context = SessionContext(session_id=None, input_messages=[]) + await provider.before_run(agent=None, session=AgentSession(), context=context, state={}) From c0afb6c3257f716a033936098b2223469cc424b5 Mon Sep 17 00:00:00 2001 From: eavanvalkenburg Date: Mon, 21 Sep 2026 12:38:37 +0200 Subject: [PATCH 30/30] Python: Preserve empty hosted MCP allowlists --- .../agent_framework_foundry/_chat_client.py | 3 +- .../tests/foundry/test_foundry_chat_client.py | 65 +++++++++++++++++++ .../agent_framework_openai/_chat_client.py | 3 +- .../tests/openai/test_openai_chat_client.py | 53 ++++++++++++++- 4 files changed, 121 insertions(+), 3 deletions(-) diff --git a/python/packages/foundry/agent_framework_foundry/_chat_client.py b/python/packages/foundry/agent_framework_foundry/_chat_client.py index 8e42d56249c..3f0d519c025 100644 --- a/python/packages/foundry/agent_framework_foundry/_chat_client.py +++ b/python/packages/foundry/agent_framework_foundry/_chat_client.py @@ -674,6 +674,7 @@ def get_mcp_tool( description: A description of what the MCP server provides. approval_mode: Tool approval mode ("always_require", "never_require", or dict). allowed_tools: List of allowed tool names from this MCP server. + None omits the filter; an empty list is sent unchanged. headers: HTTP headers to include in requests to the MCP server. project_connection_id: Foundry connection ID for managed MCP connections. **kwargs: Additional arguments passed to the SDK MCPTool constructor. @@ -699,7 +700,7 @@ def get_mcp_tool( mcp["project_connection_id"] = project_connection_id elif headers: mcp["headers"] = headers - if allowed_tools: + if allowed_tools is not None: mcp["allowed_tools"] = allowed_tools if approval_mode: if isinstance(approval_mode, str): diff --git a/python/packages/foundry/tests/foundry/test_foundry_chat_client.py b/python/packages/foundry/tests/foundry/test_foundry_chat_client.py index 7ccc8430797..4ed35a7a66c 100644 --- a/python/packages/foundry/tests/foundry/test_foundry_chat_client.py +++ b/python/packages/foundry/tests/foundry/test_foundry_chat_client.py @@ -811,6 +811,71 @@ def test_get_mcp_tool_with_project_connection_id() -> None: assert "server_url" not in tool_config +@pytest.mark.parametrize("allowed_tools", [None, [], ["read_only"]], ids=["omitted", "empty", "nonempty"]) +@pytest.mark.parametrize( + ("url", "project_connection_id"), + [ + param("https://mcp.example", None, id="url"), + param(None, "conn-123", id="connection"), + param("https://mcp.example", "conn-123", id="url-and-connection"), + ], +) +async def test_get_mcp_tool_preserves_allowed_tools_in_request( + allowed_tools: list[str] | None, url: str | None, project_connection_id: str | None +) -> None: + tool_config = FoundryChatClient.get_mcp_tool( + name="Docs MCP", + url=url, + project_connection_id=project_connection_id, + allowed_tools=allowed_tools, + headers={"Authorization": "Bearer test-token"}, + approval_mode="never_require", + ) + expected: dict[str, Any] = { + "type": "mcp", + "server_label": "Docs_MCP", + "require_approval": "never", + } + if url is not None: + expected["server_url"] = url + if project_connection_id is not None: + expected["project_connection_id"] = project_connection_id + else: + expected["headers"] = {"Authorization": "Bearer test-token"} + if allowed_tools is not None: + expected["allowed_tools"] = allowed_tools + assert dict(tool_config) == expected + + requests: list[dict[str, Any]] = [] + + def handle_request(request: Any) -> Any: + requests.append(json.loads(request.content)) + return _OPENAI_HTTPX.Response( + 200, + json={ + "id": "resp_test", + "object": "response", + "created_at": 0, + "model": "test-model", + "status": "completed", + "output": [], + }, + ) + + async with AsyncOpenAI( + api_key="test-key", + base_url="https://example.test/v1", + http_client=DefaultAsyncHttpxClient(transport=_OPENAI_HTTPX.MockTransport(handle_request)), + ) as async_client: + project_client = MagicMock() + project_client.get_openai_client.return_value = async_client + client = FoundryChatClient(project_client=project_client, model="test-model") + await client.get_response([Message(role="user", contents=["Hello"])], options={"tools": [tool_config]}) + + assert len(requests) == 1 + assert requests[0]["tools"] == [expected] + + def test_get_mcp_tool_requires_url_or_project_connection_id() -> None: """Missing both ``url`` and ``project_connection_id`` is always invalid.""" with pytest.raises(ValueError, match="url.*project_connection_id"): diff --git a/python/packages/openai/agent_framework_openai/_chat_client.py b/python/packages/openai/agent_framework_openai/_chat_client.py index e1fe3cc5cf9..636fd38893c 100644 --- a/python/packages/openai/agent_framework_openai/_chat_client.py +++ b/python/packages/openai/agent_framework_openai/_chat_client.py @@ -1471,6 +1471,7 @@ def get_mcp_tool( or provide a dict with "always_require_approval" and/or "never_require_approval" keys mapping to lists of tool names. allowed_tools: List of tool names that are allowed to be used from this MCP server. + None omits the filter; an empty list is sent unchanged. headers: HTTP headers to include in requests to the MCP server. Returns: @@ -1520,7 +1521,7 @@ def get_mcp_tool( if headers: mcp["headers"] = headers - if allowed_tools: + if allowed_tools is not None: mcp["allowed_tools"] = allowed_tools if approval_mode: diff --git a/python/packages/openai/tests/openai/test_openai_chat_client.py b/python/packages/openai/tests/openai/test_openai_chat_client.py index d30448c1e04..92b68650dac 100644 --- a/python/packages/openai/tests/openai/test_openai_chat_client.py +++ b/python/packages/openai/tests/openai/test_openai_chat_client.py @@ -6,6 +6,7 @@ import os from collections.abc import AsyncGenerator, Iterator, Sequence from datetime import datetime, timezone +from importlib import import_module from pathlib import Path from typing import Annotated, Any, cast from unittest.mock import AsyncMock, MagicMock, patch @@ -41,7 +42,7 @@ ChatClientInvalidRequestException, SettingNotFoundError, ) -from openai import AsyncOpenAI, BadRequestError +from openai import AsyncOpenAI, BadRequestError, DefaultAsyncHttpxClient from openai.types.responses import ResponseFunctionShellToolCall, ResponseFunctionShellToolCallOutput from openai.types.responses.response_reasoning_item import Summary from openai.types.responses.response_reasoning_summary_text_delta_event import ( @@ -64,6 +65,8 @@ from agent_framework_openai._chat_client import OPENAI_LOCAL_SHELL_CALL_ITEM_ID_KEY from agent_framework_openai._exceptions import OpenAIContentFilterException +_OPENAI_HTTPX = cast(Any, import_module(DefaultAsyncHttpxClient.__mro__[1].__module__.partition(".")[0])) + skip_if_openai_integration_tests_disabled = pytest.mark.skipif( os.getenv("OPENAI_API_KEY", "") in ("", "test-dummy-key"), reason="No real OPENAI_API_KEY provided; skipping integration tests.", @@ -5576,6 +5579,54 @@ def test_prepare_tools_for_openai_with_mcp() -> None: assert "require_approval" in mcp +@pytest.mark.parametrize("allowed_tools", [None, [], ["read_only"]], ids=["omitted", "empty", "nonempty"]) +async def test_get_mcp_tool_preserves_allowed_tools_in_request(allowed_tools: list[str] | None) -> None: + tool_config = OpenAIChatClient.get_mcp_tool( + name="Docs MCP", + url="https://mcp.example", + allowed_tools=allowed_tools, + headers={"Authorization": "Bearer test-token"}, + approval_mode="never_require", + ) + expected: dict[str, Any] = { + "type": "mcp", + "server_label": "Docs_MCP", + "server_url": "https://mcp.example", + "headers": {"Authorization": "Bearer test-token"}, + "require_approval": "never", + } + if allowed_tools is not None: + expected["allowed_tools"] = allowed_tools + assert tool_config == expected + + requests: list[dict[str, Any]] = [] + + def handle_request(request: Any) -> Any: + requests.append(json.loads(request.content)) + return _OPENAI_HTTPX.Response( + 200, + json={ + "id": "resp_test", + "object": "response", + "created_at": 0, + "model": "test-model", + "status": "completed", + "output": [], + }, + ) + + async with AsyncOpenAI( + api_key="test-key", + base_url="https://example.test/v1", + http_client=DefaultAsyncHttpxClient(transport=_OPENAI_HTTPX.MockTransport(handle_request)), + ) as async_client: + client = OpenAIChatClient(model="test-model", async_client=async_client) + await client.get_response([Message(role="user", contents=["Hello"])], options={"tools": [tool_config]}) + + assert len(requests) == 1 + assert requests[0]["tools"] == [expected] + + def test_prepare_tools_for_openai_single_function_tool() -> None: """Test that a single FunctionTool (not wrapped in a list) is handled correctly.""" client = OpenAIChatClient(model="test-model", api_key="test-key")