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⚠️ Dependabot is rebasing this PR ⚠️

Rebasing might not happen immediately, so don't worry if this takes some time.

Note: if you make any changes to this PR yourself, they will take precedence over the rebase.

Bumps the python group with 5 updates:

Package From To
mcp 1.29.0 2.1.1
ruff 0.16.5 0.16.6
langchain 1.3.18 1.4.0
langchain-openai 1.6.0 1.6.1
openai-agents 0.13.6 0.20.0

Updates mcp from 1.29.0 to 2.1.1

Release notes

Sourced from mcp's releases.

v2.1.1

What's Changed

Full Changelog: modelcontextprotocol/python-sdk@v2.1.0...v2.1.1

v2.1.0

Highlights

  • Client accepts StdioServerParameters directly: Client(StdioServerParameters(command="uv", args=["run", "server.py"])) (#3321).
  • Prompt messages accept Image and Audio, prompt functions may return bare content blocks, and Message / UserMessage / AssistantMessage are exported from mcp.server.mcpserver (#3320).
  • The 4 MiB request body limit now also covers the SSE transport and the OAuth endpoints; SseServerTransport and MCPServer.sse_app() take max_request_body_size, and the SSE message endpoint answers 405 to non-POST requests (#3336).

Behaviour changes to be aware of

  • Handler exceptions (#3314): an unexpected exception from a tool, resource or prompt handler is logged once at ERROR with its traceback, and the client now sees only Error executing tool <name> (or the resource/prompt equivalent) rather than the exception text. Raise ToolError / ResourceError when the message is meant for the model; those still reach the client and are logged at INFO without a traceback.
  • Content-block return annotations (#3320): a tool annotated to return TextContent, EmbeddedResource, Image, Audio, or lists/unions of them no longer advertises outputSchema or returns structuredContent; its content is unchanged. Pass structured_output=True to keep the previous shape.

Fixes

  • TypedDict tool results: NotRequired keys are omitted instead of serialized as null, and registration no longer fails on Python 3.10 (#3224, #3227); recursive return types get an object-rooted outputSchema that pre-2026 clients accept (#3337).
  • 2026-07-28 over HTTP: a POSTed notification such as notifications/cancelled is acknowledged with 202 instead of rejected with 400 (#3324).
  • Pre-2026 sessions ignore cache-hint fields from later revisions instead of failing list_tools() (#3223), and accept boolean sub-schemas in tool schema properties (#3353).
  • mcp install reads and preserves a Claude Desktop config containing non-ASCII text on any Windows code page (#3296).

What's Changed

... (truncated)

Commits
  • 0921d94 Point imports of mcp.server.fastmcp at the migration guide (#3388)
  • 4d6f87e Build releases with the pinned hatchling and a publish action that accepts Me...
  • c5d7d0b docs: refresh translations for recent English changes (#3379)
  • d8b6383 Give recursive tool return types an object-rooted output schema (#3376)
  • 56af447 Log MCPServer handler exceptions by kind and keep crash details off the wire ...
  • f1c40b0 Accept boolean sub-schemas in 2025-11-25 tool schema properties (#3354)
  • 57394b0 Apply the request body limit to the SSE and OAuth endpoints (#3336)
  • 0cee624 Hand TypedDict tool results to pydantic natively (#3331)
  • 0d92192 Shorten stdio test comments (#3329)
  • b2025ab Acknowledge notification POSTs with 202 on the 2026-07-28 HTTP entry (#3326)
  • Additional commits viewable in compare view

Updates ruff from 0.16.5 to 0.16.6

Release notes

Sourced from ruff's releases.

0.16.6

Release Notes

Released on 2026-09-03.

Preview features

  • Move pytest-fixture-autouse to the restriction category (#28219)
  • [flake8-pytest-style] Add an autofix for PT020 (#27993)
  • [flake8-tidy-imports] Prevent fix loop between TID254 and TID255 (#28262)
  • [isort] Exclude pragma comments from line length calculation (I001) (#27313)

Bug fixes

  • Validate unary expressions when parsing (#28233)
  • [flake8-async, pylint] Recognize builtins.open (ASYNC230, PLW1514) (#28021)
  • [flake8-bugbear] Fix panic on match subjects (B031) (#27781)
  • [flake8-datetimez] Reject tzinfo=None for datetime bounds (DTZ901) (#28022)
  • [flake8-pytest-style] Avoid duplicate PT017 diagnostics (#27918)
  • [ruff] Remove lint.external hint for Ruff-specific suppressions (RUF102) (#27923)

Rule changes

  • [flake8-use-pathlib] Add display-only fix for os.listdir (PTH208) (#28027)

Documentation

  • Add another example and glob reference for lint.per-file-ignores (#28106)
  • Add duplicate work guidance (#28229)
  • [flake8-async] Document thread offloading (ASYNC240) (#28008)
  • [pyupgrade] Clarify default encoding argument handling (UP012) (#27315)

Other changes

  • Allow unary plus in match patterns on Python 3.15 (#28231)

Contributors

... (truncated)

Changelog

Sourced from ruff's changelog.

0.16.6

Released on 2026-09-03.

Preview features

  • Move pytest-fixture-autouse to the restriction category (#28219)
  • [flake8-pytest-style] Add an autofix for PT020 (#27993)
  • [flake8-tidy-imports] Prevent fix loop between TID254 and TID255 (#28262)
  • [isort] Exclude pragma comments from line length calculation (I001) (#27313)

Bug fixes

  • Validate unary expressions when parsing (#28233)
  • [flake8-async, pylint] Recognize builtins.open (ASYNC230, PLW1514) (#28021)
  • [flake8-bugbear] Fix panic on match subjects (B031) (#27781)
  • [flake8-datetimez] Reject tzinfo=None for datetime bounds (DTZ901) (#28022)
  • [flake8-pytest-style] Avoid duplicate PT017 diagnostics (#27918)
  • [ruff] Remove lint.external hint for Ruff-specific suppressions (RUF102) (#27923)

Rule changes

  • [flake8-use-pathlib] Add display-only fix for os.listdir (PTH208) (#28027)

Documentation

  • Add another example and glob reference for lint.per-file-ignores (#28106)
  • Add duplicate work guidance (#28229)
  • [flake8-async] Document thread offloading (ASYNC240) (#28008)
  • [pyupgrade] Clarify default encoding argument handling (UP012) (#27315)

Other changes

  • Allow unary plus in match patterns on Python 3.15 (#28231)

Contributors

Commits

Updates langchain from 1.3.18 to 1.4.0

Release notes

Sourced from langchain's releases.

langchain-perplexity==1.4.0

Changes since langchain-perplexity==1.3.2

release(perplexity): 1.4.0 (#37993) feat(perplexity): bind_tools and Responses-API tool round-trip (#37934) hotfix(openai): min core dep (#37990)

langchain-openai==1.4.0

Changes since langchain-openai==1.3.5

release(openai): 1.4.0 (#38983) chore: bump pillow from 12.2.0 to 12.3.0 in /libs/partners/openai (#38999) feat(core): add reasoning_effort as a standard chat model parameter (#38887) chore(model-profiles): refresh model profile data (#38797)

langchain==1.4.0

Changes since langchain==1.3.18

docs(langchain): runnable langchain.mcp examples (#39976) feat(langchain): langchain.mcp namespace, MCPAdapter (#39939) perf(anthropic,langchain): omit middleware trace inputs (#40098) fix(langchain): include model destination in agent tool routing (#38355) chore(langchain): bump vcrpy test dependency minimum to >=8.2.0 (#39942)

langchain==1.4.0a4

Initial release

release(langchain): 1.4.0a4 test(langchain): cover mixed-era ClientGroup and group elicitation Update libs/langchain_v1/langchain/mcp/adapter.py fix(langchain): drive MCP elicitation via member session for fastmcp 4.0.1 fix(sdk): use latest fastmcp and rm reentrant impl cr cr refactor(langchain): inline MCP client arming into __init__ refactor(langchain): stamp an arm marker instead of introspecting the handler closure fix(langchain): gate MCP interrupt routing on the negotiated protocol era refactor(langchain): drop MCP elicitation flag, derive interrupt routing from the client fix(sdk): add _ReentrantClientGroup fix(langchain): narrow MCPAdapter.client union in mcp tests for mypy chore(langchain): format mcp/adapter.py release(langchain): 1.4.0a3 feat(langchain): group MCP tool metadata under an mcp namespace refactor(langchain): stop exporting MCPAdapterTarget from langchain.mcp refactor(langchain): rename convert_mcp_tool_to_langchain_tool to as_langchain_tool refactor(langchain): rename MCPAdapter.get_tools to list_tools feat(langchain): expose cache_mode on MCPAdapter.get_tools chore(langchain): require fastmcp 4.0.0 feat(langchain): accept a ClientGroup as an MCPAdapter target feat(langchain): mark the langchain.mcp namespace as beta

... (truncated)

Commits
  • 79cab2d release(anthropic): 1.7.1 (#40181)
  • 1e6a4f0 chore(model-profiles): refresh model profile data (#40171)
  • 8330dfe docs(langchain): runnable langchain.mcp examples (#39976)
  • 280442b feat(langchain): langchain.mcp namespace, MCPAdapter (#39939)
  • f5ee2b6 chore(chroma): bump Pygments security constraint (#40162)
  • 234255c chore(model-profiles): refresh model profile data (#40009)
  • 79e0e4a chore(deps): bump mistune from 3.3.0 to 3.3.3 in /libs/langchain (#40149)
  • e90201b chore(deps): bump mistune from 3.3.0 to 3.3.3 in /libs/core (#40150)
  • 4240248 chore(deps): bump mistune from 3.3.0 to 3.3.3 in /libs/text-splitters (#40148)
  • 530290a chore(deps): bump uv to 0.12.8 (#40092)
  • Additional commits viewable in compare view

Updates langchain-openai from 1.6.0 to 1.6.1

Release notes

Sourced from langchain-openai's releases.

langchain-openai==1.6.1

Changes since langchain-openai==1.6.0

fix(openai): bump max_completion_tokens in cache breakpoint integration test (#40284) release(openai): 1.6.1 (#40268) chore(model-profiles): refresh model profile data (#40217) fix(openai): support Azure AD auth with OpenAI 3.8 (#40190) feat(openai): support async tools (#40208) feat(openai): support configuration_update (#40201) chore(model-profiles): refresh model profile data (#40171) fix(openai): route gpt-5.6-sol to responses API (#40133) chore(openai): fix tests (#39972) fix(openai): correct reasoning_effort_levels for gpt-5 and gpt-5.1 profiles (#39936) chore(model-profiles): refresh model profile data (#39954)

Commits
  • db613a9 fix(openai): bump max_completion_tokens in cache breakpoint integration tes...
  • 9f2eb7f release(openai): 1.6.1 (#40268)
  • 765eb32 chore(model-profiles): refresh model profile data (#40277)
  • e670c7a chore(model-profiles): refresh model profile data (#40258)
  • fa942ae fix(deepseek): route strict mode to the beta endpoint (#40249)
  • c3acb40 fix(langchain): correct InterruptOnConfig documentation (#40140)
  • 872910a fix(langchain-classic): correct sqlite3 install guidance in SQLiteEntityStore...
  • 89baaec chore(model-profiles): refresh model profile data (#40217)
  • 16a5895 test(core): cover the deprecated .text() access path (#40243)
  • eef3eae docs(core): remove stale Args/Raises entries from FileCallbackHandler._write ...
  • Additional commits viewable in compare view

Updates openai-agents from 0.13.6 to 0.20.0

Release notes

Sourced from openai-agents's releases.

v0.20.0

Key Changes

Version 0.20.0 is a minor release because it changes the implicit default model and includes a potentially breaking MCP dependency migration for applications with customized local HTTP transports. MCP v1 remains supported, and affected applications can migrate to httpx2 or pin mcp<2.

Highlights:

  • The default model is now gpt-5.6-luna; explicit models, run-level overrides, and OPENAI_DEFAULT_MODEL continue to take precedence.
  • Local MCP connections support MCP Python SDK v1 and v2 across stdio, SSE, and Streamable HTTP transports.
  • Applications using custom MCP HTTP authentication or client factories must use the HTTP types owned by the installed MCP major version, or pin mcp<2.
  • RunState.add_input() can stage durable user input before a resumed model call, with guardrail, persistence, and serialization support.
  • Sandbox mount validation adds explicit credential-exposure acknowledgements and preserves redacted error contracts without serializing credential authority.
  • Realtime input transcription supports the GA transcription settings for gpt-live-transcribe, gpt-transcribe, and gpt-realtime-whisper.

What's Changed

... (truncated)

Changelog

Sourced from openai-agents's changelog.

0.20.0

Version 0.20.0 includes a potentially breaking MCP dependency migration for applications that customize local MCP HTTP transports. It also updates the SDK default model used when an agent or run does not explicitly select one.

Highlights:

  • The SDK default model is now gpt-5.6-luna instead of gpt-5.4-mini. The default reasoning.effort="none" and verbosity="low" settings are unchanged.
  • Explicit agent models, run-level model overrides, and the OPENAI_DEFAULT_MODEL environment variable continue to take precedence over the SDK default.
  • Realtime input transcription settings now recognize gpt-transcribe, gpt-live-transcribe, and gpt-realtime-whisper. For low-latency gpt-live-transcribe sessions, nested audio.input.transcription settings can supply prompt, keywords, and multiple expected languages. The OpenAI client version pinned by this SDK supports the delay latency/accuracy level only with gpt-realtime-whisper. Use gpt-transcribe over WebSocket for transcription after a committed audio turn or for detected-language output. Setting audio.input.turn_detection=None explicitly disables automatic turn detection. See Input transcription settings.
  • Local MCP connections created by the Agents SDK now support MCP Python SDK v2 while retaining v1 compatibility through mcp>=1.19.0,<3. The Agents SDK adapts ordinary stdio, SSE, and Streamable HTTP connections automatically. With MCP v2 installed, these connections use mcp.Client(mode="auto") to probe the newest supported protocol and fall back to the legacy initialize handshake for older servers. If dependency resolution selects MCP v2, applications that supply custom httpx.Auth objects or httpx.AsyncClient factories must migrate those values to httpx2, or pin mcp<2 to retain the v1 HTTP stack. MCPServerStreamableHttp's params["ignore_initialized_notification_failure"] = True option also remains v1-only. See MCP Python SDK v1 and v2 for migration details.
  • Sandbox mount validation now rejects unsafe credential placement before sandbox or mount-helper side effects. Trusted applications can acknowledge mount-scoped or broad credential exposure for an exact in-container mount path without changing the storage capability tables. These acknowledgements are runtime-only and serialized sandbox state never grants credential authority by itself. At protected mount boundaries, the SDK returns a fresh redacted exception. If the source exception is an exact recognized SDK sandbox error and its approved structured fields validate, the replacement preserves that subtype and the validated safe fields. A recognized MountConfigError can also retain an SDK-generated safe validation message. Otherwise, the SDK returns a fresh generic redacted error. Provider-controlled or otherwise unapproved messages, command data, notes, context, causes, and source traceback state are not retained. See Mounts and remote storage and Resume from session state.
  • Retry policies can inspect stable replay-safety facts and explicitly set RetryDecision(approve_unsafe_replay=True) for a non-streaming request that the provider marked unsafe. This approval does not bypass aborts, emitted streamed output, or separate local-side-effect vetoes such as Programmatic Tool Calling. See Runner-managed retries.
  • Resumable RunState objects can now stage durable user input with add_input() before the next model call. Staged input survives serialization, runs through input guardrails, and produces one durable SDK input occurrence across local sessions and server-managed conversations. An explicitly approved unsafe replay can still resend the input to the provider and repeat provider-side work. See Add input before resuming.
  • Runtime reliability fixes align streamed and non-streamed output-guardrail session persistence, preserve FunctionTool subclasses during copying and namespacing, and raise an explicit error for unsupported Chat Completions audio output instead of silently completing an empty stream. The OpenAIResponsesCompactionSession wrapper attempts and awaits pre-compaction history recovery before cancellation reaches the caller. A VoicePipeline consumer now receives transcription-session close failures after a clean run, while an earlier turn failure retains precedence over a later close failure. RunState round trips now preserve local shell output, acknowledged computer safety checks, default-valued tool output fields, and Pydantic model or dataclass outputs encountered while traversing dictionaries, lists, or tuples. MCP conversion preserves free-form object schemas and image output, and serializes other raw content blocks such as audio and resource blocks as valid JSON text. MCPServerManager serializes overlapping lifecycle operations and applies finite default timeouts to connection and cleanup. Model replay removes server-owned created_by metadata from output items before using them as input.

0.19.0

This minor release does not introduce a breaking change. The minor version bump reflects a significant new OpenAI Responses feature area: Programmatic Tool Calling.

Highlights:

  • Added [ProgrammaticToolCallingTool][agents.tool.ProgrammaticToolCallingTool], which lets supported OpenAI Responses models generate JavaScript to coordinate tools eligible for Programmatic Tool Calling. It supports per-tool allowed_callers, structured outputs from FunctionTool instances, and integration with Runner streaming, guardrails, approvals, sessions, and RunState. See Programmatic Tool Calling for setup and constraints.
  • Added the public agents.decorators module and @tool as a shorter alias for the existing @function_tool decorator, alongside the existing guardrail decorators. FunctionTool instances now also support async callable objects.
  • SDK configuration now consistently accepts either typed settings objects or dictionaries across agents, runs, models, sessions, sandboxes, and voice pipelines, with validation for unknown settings.
  • Hardened error and diagnostic logging across models, tools, MCP, Realtime, sessions, sandboxes, and tracing to avoid exposing raw sensitive payloads while preserving useful debugging context.
  • Improved AnyLLM, LiteLLM, and Chat Completions compatibility, preserved session history across model retries, and added provider retry guidance for WebSocket overloads that occur before a response starts, so opt-in Runner retry policies can replay the failed attempt when permitted.
  • Added S3 mounts that can be configured only when a Vercel sandbox is created through VercelCloudBucketMountStrategy. Mounted sessions exclude bucket contents from workspace persistence and intentionally do not support dynamic mount changes or session resume.

0.18.0

This minor release does not introduce a breaking change. The minor version bump is for the Realtime agents default model update only.

Highlights:

  • Realtime agents now use gpt-realtime-2.1 as the default model, so new Realtime setups use the latest recommended model without extra configuration.

0.17.0

In this version, sandbox local source materialization keeps LocalFile.src and LocalDir.src within the materialization base_dir unless the source path is covered by Manifest.extra_path_grants. The base_dir is the SDK process current working directory when the manifest is applied; relative local sources are resolved from that directory, while absolute local sources must already be inside it or under an explicit grant. This closes a local artifact boundary issue, but it can affect applications that intentionally copy trusted host files or directories from outside that base directory into a sandbox workspace.

To migrate, grant trusted host roots at the manifest level with SandboxPathGrant, preferably as read-only when the sandbox only needs to read those files:

from pathlib import Path
from agents.sandbox import Manifest, SandboxPathGrant
from agents.sandbox.entries import Dir, LocalDir
This is an absolute host path outside the SDK process base_dir.
TRUSTED_DOCS_ROOT = Path("/opt/my-app/docs")
</tr></table>

... (truncated)

Commits
  • d2bda3f release: 0.20.0 (#4348)
  • c0b8763 perf: limit mypy to runtime source
  • 27c1060 fix: reject unsafe strict-schema ref siblings (#4356)
  • 23da2b6 fix(chat-completions): omit parallel_tool_calls without tools on the Chat Com...
  • b2a460d chore: preserve review credit for verified type-erasure edits
  • 2231eb5 fix: reject schemas that exceed safe recursion depth (#4358)
  • cda89c8 fix: freeze new public submodule callables
  • 67e6d37 fix: refresh release candidates consistently
  • a5def04 feat(realtime): support GA transcription options (#4351)
  • 6849766 fix: freeze Runloop platform properties (#4355)
  • Additional commits viewable in compare view

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@dependabot
chore(deps): bump the python group with 5 updates
835fb06 
Bumps the python group with 5 updates:

| Package | From | To |
| --- | --- | --- |
| [mcp](https://github.com/modelcontextprotocol/python-sdk) | `1.29.0` | `2.1.1` |
| [ruff](https://github.com/astral-sh/ruff) | `0.16.5` | `0.16.6` |
| [langchain](https://github.com/langchain-ai/langchain) | `1.3.18` | `1.4.0` |
| [langchain-openai](https://github.com/langchain-ai/langchain) | `1.6.0` | `1.6.1` |
| [openai-agents](https://github.com/openai/openai-agents-python) | `0.13.6` | `0.20.0` |


Updates `mcp` from 1.29.0 to 2.1.1
- [Release notes](https://github.com/modelcontextprotocol/python-sdk/releases)
- [Changelog](https://github.com/modelcontextprotocol/python-sdk/blob/main/RELEASE.md)
- [Commits](modelcontextprotocol/python-sdk@v1.29.0...v2.1.1)

Updates `ruff` from 0.16.5 to 0.16.6
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.16.5...0.16.6)

Updates `langchain` from 1.3.18 to 1.4.0
- [Release notes](https://github.com/langchain-ai/langchain/releases)
- [Commits](langchain-ai/langchain@langchain==1.3.18...langchain==1.4.0)

Updates `langchain-openai` from 1.6.0 to 1.6.1
- [Release notes](https://github.com/langchain-ai/langchain/releases)
- [Commits](langchain-ai/langchain@langchain-openai==1.6.0...langchain-openai==1.6.1)

Updates `openai-agents` from 0.13.6 to 0.20.0
- [Release notes](https://github.com/openai/openai-agents-python/releases)
- [Changelog](https://github.com/openai/openai-agents-python/blob/main/docs/release.md)
- [Commits](openai/openai-agents-python@v0.13.6...v0.20.0)

---
updated-dependencies:
- dependency-name: mcp
  dependency-version: 2.1.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: python
- dependency-name: ruff
  dependency-version: 0.16.6
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: python
- dependency-name: langchain
  dependency-version: 1.4.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python
- dependency-name: langchain-openai
  dependency-version: 1.6.1
  dependency-type: direct:development
  update-type: version-update:semver-patch
  dependency-group: python
- dependency-name: openai-agents
  dependency-version: 0.20.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: python
...

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@dependabot dependabot Bot added CLI dependencies Dependency updates labels Sep 14, 2026
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dependabot Bot deleted the dependabot/uv/python-0ebf561a93 branch September 15, 2026 09:57
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