feat: Release 2.0.0-M1

.github/workflows/perform-release.yaml

@@ -38,7 +38,7 @@ jobs:
         id: determine-branch-names
         run: |
           CODE_BRANCH_NAME=$(gh pr view ${{github.event.inputs.release_pr_number}} --repo ${{github.repository}} --json headRefName --jq '.headRefName')
-          RELEASE_VERSION=$(echo $CODE_BRANCH_NAME | cut -d '-' -f2)
+          RELEASE_VERSION=$(echo $CODE_BRANCH_NAME | cut -d '-' -f2-)
           RELEASE_TAG=rel/$RELEASE_VERSION
           RELEASE_COMMIT=$(gh release view $RELEASE_TAG --repo ${{github.repository}} --json targetCommitish --jq '.targetCommitish')
           RELEASE_NOTES_BRANCH_NAME=java/release-notes-$RELEASE_VERSION
@@ -112,7 +112,7 @@ jobs:
 
   release:
     name: 'Release'
-    needs: [prerequisites]
+    needs: [ prerequisites ]
     runs-on: ubuntu-latest
     environment: release
     permissions:

docs/release_notes.md

@@ -8,162 +8,11 @@
 
 ### 🔧 Compatibility Notes
 
-- [RPT] SAP-RPT was updated to the newer 1.6.0 API
-- [Orchestration] Spring AI support was upgraded to version `2.0.1`
-- [Prompt Registry] `OrchestrationConfigClient` and `PromptClient` were reworked into unified `PromptRegistryClient`,
-   see migration guide below for additional information
-- [Orchestration] `OrchestrationClient.executeRequestFromJsonModuleConfig` method was removed from SDK without a replacement
-- [OpenAi] `OpenAi.withApiVersion` was removed from public API and deprecated
-- [Orchestration] Internal AI SDK methods `createInputFilterConfig` and `createOutputFilterConfig` were removed
-  from public API
-- [Orchestration] Internal AI SDK methods `createConfig` were removed from `GroundingProvider` and `MaskingProvider`
-- [Orchestration] Internal AI SDK method `createMessage` was removed from `Message` class.
-- [Orchestration] Removed internal `AssistantMessage(List<MessageToolCall> toolCalls)` please use `AssistantMessage.withToolCalls(List)` instead.
-- [Orchestration] Removed deprecated models:
-  - `OrchestrationAiModel.IBM_GRANITE_13B_CHAT`
-  - `OrchestrationAiModel.MISTRAL_LARGE_INSTRUCT`
-  - `OrchestrationAiModel.MISTRAL_SMALL_INSTRUCT`
-  - `OrchestrationAiModel.MIXTRAL_8X7B_INSTRUCT_V01`
-  - `OrchestrationAiModel.LLAMA3_70B_INSTRUCT`
-  - `OrchestrationAiModel.LLAMA3_1_70B_INSTRUCT`
-  - `OrchestrationAiModel.CLAUDE_3_SONNET`
-  - `OrchestrationAiModel.CLAUDE_3_HAIKU`
-  - `OrchestrationAiModel.CLAUDE_3_OPUS`
-  - `OrchestrationAiModel.CLAUDE_3_5_SONNET`
-  - `OrchestrationAiModel.CLAUDE_3_7_SONNET`
-  - `OrchestrationAiModel.CLAUDE_4_SONNET`
-  - `OrchestrationAiModel.TITAN_TEXT_LITE`
-  - `OrchestrationAiModel.TITAN_TEXT_EXPRESS`
-  - `OrchestrationAiModel.GPT_35_TURBO`
-  - `OrchestrationAiModel.GPT_35_TURBO_16K`
-  - `OrchestrationAiModel.GPT_35_TURBO_0125`
-  - `OrchestrationAiModel.GPT_4`
-  - `OrchestrationAiModel.GPT_4_32K`
-  - `OrchestrationAiModel.GPT_4_0613`
-  - `OrchestrationAiModel.GPT_4O_MINI`
-  - `OrchestrationAiModel.OPENAI_O1`
-  - `OrchestrationAiModel.OPENAI_O3_MINI`
-  - `OrchestrationAiModel.GEMINI_1_0_PRO`
-  - `OrchestrationAiModel.GEMINI_1_5_PRO`
-  - `OrchestrationAiModel.GEMINI_1_5_FLASH`
-  - `OrchestrationAiModel.GEMINI_2_0_FLASH`
-  - `OrchestrationAiModel.GEMINI_2_0_FLASH_LITE`
-  - `OrchestrationAiModel.ALEPHALPHA_PHARIA_1_7B_CONTROL`
-  - `OrchestrationAiModel.DEEPSEEK_R1`
-- [OpenAi] Removed deprecated models:
-  - `OpenAiModel.DALL_E_3`
-  - `OpenAiModel.GPT_35_TURBO`
-  - `OpenAiModel.GPT_35_TURBO_1025`
-  - `OpenAiModel.GPT_35_TURBO_16K`
-  - `OpenAiModel.GPT_4`
-  - `OpenAiModel.GPT_4_32K`
-  - `OpenAiModel.GPT_4O_MINI`
-  - `OpenAiModel.O3_MINI`
-  - `OpenAiModel.O1`
-  - `OpenAiModel.TEXT_EMBEDDING_ADA_002`
-
-#### Prompt registry client Migration Guide
-
-`OrchestrationConfigClient` and `PromptClient` were replaced with unified `PromptRegistryClient`,
-
-OrchestrationConfigClient:
-```diff
--var orchestrationConfigsClient = new OrchestrationConfigClient();
--var configs = orchestrationConfigsClient.listOrchestrationConfigs();
-
-+var orchestractionConfigsClient = new PromptRegistryClient().orchestrationConfig();
-+var configs = orchestractionConfigsClient.listOrchestrationConfigs();
-```
-
-PromptRegistryClient:
-```diff
--var promptClient = new PromptClient();
--var templates = promptClient.listPromptTemplates();
-
-+var promptClient = new PromptRegistryClient().prompt();
-+var templates = promptClient.listPromptTemplates();
-```
-
-#### Spring AI 2.0.1 Migration Guide
-
-If you use the Spring AI integration (`OrchestrationChatModel`, `OpenAiChatModel`) together with tool calling, the following changes are required:
-
-**Tool execution — use `ChatClient` instead of `isInternalToolExecutionEnabled`**
-
-The `isInternalToolExecutionEnabled` flag has been removed in Spring AI 2.0.1.
-To execute tools automatically, route the call through `ChatClient` (which wires in `ToolCallingAdvisor`):
-
-```diff
--options.setInternalToolExecutionEnabled(true);
--chatModel.call(prompt);
-
-+ChatClient.builder(chatModel).build().prompt(prompt).call().chatResponse();
-```
-
-To receive raw tool calls without execution (e.g. to forward them to a client), call the model directly as before — no change needed there.
-
-**Immutable options — use `.mutate().build()` to configure per-request options**
-
-`OrchestrationChatOptions` and `DefaultToolCallingChatOptions` are now immutable.
-Use the builder to set per-request options such as tool callbacks:
-
-```diff
--OrchestrationChatOptions options = new OrchestrationChatOptions(config);
--options.setToolCallbacks(...);  // no longer available
-
-+OrchestrationChatOptions options = new OrchestrationChatOptions(config)
-+    .mutate()
-+    .toolCallbacks(ToolCallbacks.from(new MyTool()))
-+    .build();
-```
-
-**Dependency updates**
-
-***New required minimum versions***
-
-`com.github.victools:jsonschema-generator 5.0.0`
-
-`com.githib.victools:jsonschema-module-jackson 5.0.0`
-
-`com.github.victools:jsonschema-module-swagger-2 5.0.0`
-
-`com.networknt:json-schema-validator 3.0.1`
-
-
-*Optional*: If your project uses Spring AI MCP autoconfiguration (i.e. you had `spring-ai-autoconfigure-mcp-client` in your `pom.xml` to register MCP clients from `application.yml`), that artifact was split in Spring AI 2.0.1 — replace it:
-
-```xml
-<!-- Remove -->
-<dependency>
-  <groupId>org.springframework.ai</groupId>
-  <artifactId>spring-ai-autoconfigure-mcp-client</artifactId>
-</dependency>
-
-<!-- Add -->
-<dependency>
-  <groupId>org.springframework.ai</groupId>
-  <artifactId>spring-ai-autoconfigure-mcp-client-common</artifactId>
-  <version>2.0.1</version>
-</dependency>
-```
-
-If you use MCP clients manually in code (instantiating `SyncMcpToolCallbackProvider` directly), no change is needed — `spring-ai-mcp` already provides those classes.
-
-### Orchestration
-
-- The model name is now required when creating a new `OrchestrationModuleConfig`
-
-```diff
--new OrchestrationModuleConfig().withLlmConfig(GPT_5);
-
-+new OrchestrationModuleConfig(GPT_5);
-```
+-
 
 ### ✨ New Functionality
 
-- [Orchestration] Added `GEMINI_3_8_FLASH` and `GPT_51` to model list in `OrchestrationAiModel`.
-- [OpenAI] Added `GPT_51` to model list in `OpenAiModel`.
-- [Spring AI] Chat completion calls via the Spring AI integration now can have multiple module configs to support fallback modules as well.
+-
 
 ### 📈 Improvements