Integrations

langchain-fireworks version 1.5.2 has been released with updates focused on model profile data refreshes. The release includes a primary change to the fireworks module along with three separate model profile data refresh commits. This is a maintenance release that ensures the Fireworks integration stays current with the latest model configurations and profiles.

langchain-anthropic version 1.5.2 has been released with support for Claude Opus 5. This update builds on the previous 1.5.1 release and includes new model capabilities for the Anthropic integration within the LangChain framework. The release enables developers to leverage the latest Claude Opus 5 model through LangChain's unified interface.

Claude Code v2.1.219 introduces Claude Opus 5 as the new default model with 1M context window and improved pricing, adds network security controls via strict allowlist settings, and enhances subagent nesting capabilities up to depth 3. The release includes fixes for permission handling in self-hosted runners, improved MCP server error reporting, and UI improvements across model selection, workflow sizing, and accessibility features.

langchain-anthropic version 1.5.1 has been released with three key improvements. The update adds support for LangSmith gateway configuration through environment variables, enabling structured output for Claude Opus 4.8 model, and includes general release updates. This version enhances integration capabilities and model compatibility for Anthropic-based LangChain applications.

langchain-core version 1.5.1 is released with three key improvements: support for LangSmith gateway configuration via environment variables across Anthropic, Fireworks, and OpenAI integrations, and a fix for BaseTool token counting that leverages tool_call_schema caching in the count_tokens_approximately method. This patch release enhances gateway flexibility and optimizes token counting performance.

langchain-fireworks version 1.5.1 has been released with a key feature addition enabling LangSmith gateway support through environment variables. This update improves integration capabilities across Anthropic, Fireworks, and OpenAI providers by allowing users to configure gateway access via environment configuration rather than code changes. The release builds on version 1.5.0 with enhanced flexibility for enterprise deployments and monitoring workflows.

langchain-openai version 1.4.1 has been released with three key updates: support for LangSmith gateway configuration through environment variables across Anthropic, Fireworks, and OpenAI integrations, and a correction to the gpt-5.3-chat-latest profile. This release enables better integration with LangSmith monitoring and fixes a profile naming issue in the OpenAI provider.

Claude Code v2.1.218 introduces significant improvements to code review workflows, accessibility features, and bug fixes. Key changes include running `/code-review` as a background subagent to reduce conversation clutter, enhanced screen-reader support with deletion announcements, and fixes for critical issues like Windows path corruption and multi-line paste handling. The release also improves error handling, trust dialogs, and agent configuration validation while refining auto-mode behavior and MCP server connectivity reporting.

langchain-openrouter version 0.2.7 has been released with updates since 0.2.6. The release primarily consists of routine maintenance work including multiple model profile data refreshes and dependency lockfile updates. No breaking changes or major feature additions are documented in this release.

langchain-anthropic version 1.5.0 introduces support for `reasoning_effort` as a standard chat model parameter, enabling more granular control over Claude's reasoning capabilities. The release includes fixes for tool recognition with the `advisor_` prefix, improved documentation following Sonnet 5 release, and various dependency updates. Key improvements focus on enhancing the Anthropic integration's compatibility with extended thinking features and maintaining consistency across the LangChain ecosystem.

langchain-fireworks version 1.5.0 introduces a new `reasoning_effort` parameter as a standard chat model feature, enabling more granular control over model reasoning behavior. The release includes dependency updates to langsmith (0.10.6), security patches for Dependabot vulnerabilities, and maintenance improvements across the Fireworks integration library.

langchain-openai version 1.4.0 has been released with several updates including a Pillow dependency bump, addition of `reasoning_effort` as a standard chat model parameter for enhanced model control, and refreshed model profile data. This release builds on version 1.3.5 with improvements to core functionality and dependency management.

langchain-xai version 1.3.0 introduces the `reasoning_effort` parameter as a standard chat model feature, along with numerous dependency updates and security patches. The release includes fixes for unsupported parameters, improved model profile data, and enhanced streaming capabilities with content-block-centric v2 support. Key updates involve langsmith, pytest, aiohttp, and other core dependencies, with emphasis on security vulnerabilities and compatibility improvements.

Google ADK Python v2.5.0 introduces significant enhancements for agent development, including Cloud Run sandbox execution, MCP server integration, strict input validation, and improved workflow state management. Key additions include Voice Activity Detection support, HITL resumption capabilities, binary document parsing, and enhanced error handling callbacks. The release also addresses security concerns with module blocking, mTLS support, and comprehensive bug fixes across event compaction, model caching, and agent orchestration.

langchain-core version 1.5.0 has been released with new features and dependency updates. The major addition is support for `reasoning_effort` as a standard chat model parameter, enabling more granular control over model reasoning behavior. Dependencies have been updated including soupsieve (2.8 → 2.8.4) and mistune (3.2.1 → 3.3.0) for improved security and functionality.

OpenClaw v2026.7.2-beta.3 introduces remote coding sessions on cloud workers, native automation capabilities for mobile and headless Linux, safer channel operations with improved Telegram and Signal handling, guided Control UI setup for model providers and channels, and enhanced gateway/session recovery. The release also includes new Linux packaging options (deb and AppImage), external gateway supervision mode, ClickClack integration improvements, and numerous UI/UX refinements across Control UI, including better chat layouts, keyboard shortcuts, and session management.

OpenClaw v2026.7.2-beta.2 introduces remote coding sessions on cloud workers, native automation and mobile capabilities, safer channel operations, guided Control UI setup, improved gateway and session recovery, and enhanced Linux packaging. Key improvements include external gateway supervision, ClickClack integration, Skill Workshop enhancements, and numerous Control UI refinements for better user experience and reliability.

Martin is an LLM-powered voice assistant (YC S23) that improves upon Siri by offering deeper app integrations, better personalization through conversation memory, and multi-channel access (voice, SMS, WhatsApp, email). Key features include calendar management, reminder setting, autonomous texting with contacts on behalf of users, and daily briefings. The platform addresses legacy voice assistant limitations through optimized latency, custom voice activity detection, and sophisticated memory systems that learn user context from conversations.

Baseplate is a unified backend-as-a-service platform for LLM applications that simplifies the infrastructure needed to build AI-powered products. It provides integrated data management, vector embeddings, prompt versioning, and deployment capabilities through a single API, eliminating the need for teams to build separate datasource integrations, vector databases, and storage solutions. The platform features a multimodal database, spreadsheet-style editing interface, hybrid search capabilities, and an App Builder for prompt iteration and context injection.

Onyx is an open-source chat UI (YC W24) that works with any LLM and provides enterprise-grade features like RAG, web search, MCP, and deep research. Built by the creators of Danswer, the team pivoted after realizing users wanted secure, self-hosted chat interfaces with world-class UX rather than just search. The platform supports RBAC, SSO, and on-prem hosting, with key innovations in context management and model-agnostic tool handling that enable reliable multi-model deployments at scale.