Tool Use

langchain-core version 1.2.17 has been released with a key fix for extracting usage metadata from serialized tracer message outputs. The release also includes dependency updates across multiple directories.

LangChain released langchain-openrouter version 0.1.0 with significant enhancements including streaming token usage support, cost tracking in response metadata, standard model properties, and default headers. The release includes bug fixes for SDK compatibility and model profile improvements.

OpenAI Agents Python SDK v0.9.0 drops Python 3.9 support and introduces configurable timeout handling for function tools with options for timeout_seconds, timeout_behavior, and timeout_error_function. The release also narrows the Agent#as_tool() return type to FunctionTool, adds ToolOutputTrimmer for context management, and includes fixes for tracing and audio buffer handling.

OpenAI Agents Python v0.9.1 release includes critical bug fixes for input history materialization, tracing function spans, import-time fork hazards, and nested agent-tool state persistence. The release also bumps the RunState schema to 1.1 with explicit backward-read policy and includes comprehensive documentation updates.

OpenAI Agents Python v0.9.2 introduces a new `reasoning_item_id_policy: 'omit'` option for RunConfig to prevent 400 errors when using reasoning models with inconsistent item sets. The release includes fixes for reasoning item filtering in nested handoffs and voice trace handling, plus documentation updates.

OpenAI Agents Python v0.9.3 release fixes an issue where total_tokens was incorrectly included in OpenAI tracing usage payloads. This patch update addresses a bug in the tracing functionality to ensure proper payload formatting.

OpenAI Agents Python v0.10.0 introduces WebSocket mode support for the Responses API as an opt-in feature, enabling more efficient real-time communication. The release includes utilities like `responses_websocket_session()` and configuration options to enable WebSocket connections globally or per-agent, along with bug fixes for token usage tracking.

OpenAI Agents Python v0.10.1 release includes a fix for syncing realtime model literals in the realtime config. Documentation updates cover websocket support for responses, and translated document pages have been updated.

OpenAI Agents Python v0.10.2 release includes bug fixes for trace reattachment without duplicates, oversized tracing span payload sanitization, MCP policy approval requirements, and exposure of model request IDs on raw responses. The release also includes documentation structure improvements and updates to translated pages.

OpenAI Agents Python v0.10.3 release includes new features for exposing immutable agent tool invocation metadata on run results and adding RunResult tool_context accessor for agent tools. Performance improvements include using deque for BFS queue and voice task ordering, along with comprehensive documentation updates and test enhancements.

OpenAI Agents Python v0.10.4 release includes a critical fix for isolating parallel function tool failures to prevent cascading errors. The release also improves documentation navigation and entry points, updates translated documentation, and adds stability checks for async teardown operations.

OpenAI Agents Python v0.10.5 release adds explicit MultiProvider prefix modes and improves error handling by returning McpError as structured results instead of crashing agent runs. The release includes extensive documentation improvements for Dapr sessions, realtime transport, agent runtime flows, and fixes Python 3.11+ compatibility issues.

Google ADK Python v1.20.0 introduces multi-provider LLM support (Claude, LiteLLM), streaming function call arguments, and a new APIRegistryToolset for Cloud API integration. The release includes numerous bug fixes for agent validation, response processing, path handling, and LLM compatibility improvements.

Google ADK Python v1.21.0 introduces support for the Gemini Interactions API, enhances tools with header providers and SSL verification, upgrades BigQueryAgentAnalytics to v2.0, and adds Gemma3Ollama model integration. The release includes numerous bug fixes for LiteLLM response formatting, Spanner client initialization, OpenAPI schema generation, and security updates for FastAPI/Starlette vulnerabilities.

Google ADK Python v1.22.0 introduces major features including optional LLM model configuration with fallback, regex support for allowed origins, progressive SSE streaming by default, custom instructions for user simulators, Cloud Pub/Sub tool support, and a new JSON-based database schema for DatabaseSessionService. The release includes 30+ bug fixes addressing event content validation, OAuth token refresh, eval result serialization, MCP tool errors, and deployment configurations.

Google ADK Python v1.23.0 introduces OpenTelemetry-based tracing for BigQuery, automatic session creation, and enhanced tool support with JSON schema declarations. The release includes 30+ features and bug fixes across core, tools, evals, observability, and integrations, with a breaking change replacing custom ContextVar implementation with OpenTelemetry.

Google ADK Python v1.24.0 introduces a breaking change to credential manager API (accepting `tool_context` instead of `callback_context`) and delivers significant enhancements across web UI, core functionality, tooling, and observability. Key features include A2UI v0.8 integration for native UI component rendering, toolset authentication framework, asynchronous OpenAPI tools, improved accessibility with arrow-key navigation, and numerous bug fixes for session management, credential handling, and deployment validation.

Google ADK Python v1.25.0 release introduces significant enhancements including a simple prompt optimizer demo, new CLI flags for auto session creation, event-delta memory management, and post-invocation token compaction. The release adds support for external access tokens in Google credentials, new tools like MCP resource loading and SkillToolset, plus health/version endpoints to the web server. Multiple bug fixes address async iteration, event loop issues, metadata preservation in streaming responses, and PostgreSQL timestamp handling.

Google ADK Python v1.26.0 release introduces major features including intra-invocation token compaction, Apigee LLM chat completions integration, Agent Skills spec compliance, BigQuery search catalog support, and an Agent Registry system. The release also includes numerous bug fixes for streaming tools, memory services, authentication, and various integrations across core, models, tools, evals, and services components.

Release 2025.11.25 of modelcontextprotocol/servers updates five packages including sequential-thinking, everything, filesystem, memory, and git servers. All packages are bumped to version 2025.11.25.