anthropic

This release fixes a bug in the Anthropic integration by filtering invalid tool calls from v1 content.

This release includes bug fixes for normalizing tool result blocks and correcting model profile data for specific Anthropic models.

This release fixes several bugs in the Anthropic integration, including issues with usage metadata, file-tool middleware, and credential configuration.

This release addresses issues with tool schema composition and `tool_choice` preservation in the Anthropic integration. It also introduces a new `user_profile_id` attribute for convenience.

This release includes bug fixes for the Anthropic integration, specifically addressing issues with streaming and system message content blocks.

LangChain version 1.3.12 primarily focuses on bug fixes, including improved interrupt propagation in retries and better handling of Anthropic cache markers during fallbacks.

This release includes minor dependency bumps, updates to summary formatting, and fixes for provider snapshot detection across several components.

This release includes minor fixes for LangChain and the Anthropic integration, specifically addressing file-search confinement and tightening allowed prefixes.

This release introduces a new ContextOverflowError for handling context limits in Anthropic and OpenAI integrations, and includes a fix for sanitizing URLs during image token counting.

Initial v1.0.0 alpha release series for LangChain, featuring a revamped agent architecture, improved Human-In-The-Loop patterns, and middleware support while dropping support for Python 3.9.

Initial alpha releases for LangChain v1.0.0, featuring a revamped agent API, new middleware architecture, improved HITL patterns, and the removal of Python 3.9 support.

This patch update for langchain-anthropic refines the internal tool choice type definitions.

This release addresses several critical bug fixes across various integrations and internal components, including memory leak resolutions and stability improvements for Python versions 3.9-3.12.3. It also resolves issues with span export, trace data handling, and LLM observability.

This release introduces significant features for AI Observability (LLM Observability, AI Guard enhancements) and CI Visibility (Bazel offline support), alongside critical bug fixes and breaking changes to claude_agent_sdk span naming.

This release introduces significant enhancements to LLM Observability, Profiling (including CPython 3.13 support), and Tracing features like referrer hostname extraction. Several bug fixes address issues across ASM, CI Visibility, and LLM tracing.

This release introduces significant enhancements to LLM Observability, including automatic agentless detection, and improves Profiling support across platforms and Python versions. Numerous bug fixes address issues in ASM, LLM tracing, and Single-Step Instrumentation.

This release introduces Docker image signature verification using cosign and includes numerous bug fixes across pricing, caching, proxy, guardrails, and more. It also features enhancements to the keyless gateway OAuth flow and spend log tracking.

This release introduces enhanced Docker image signature verification using cosign and includes numerous features and bug fixes across the UI, router, and various provider integrations. Key updates involve improved routing capabilities, better error handling, and UI refinements.

This release introduces enhanced Docker image signature verification using cosign and includes numerous bug fixes across various components like Vertex AI, the router, proxy, and UI. It also adds new features such as user-triggered escalation keywords and improved Anthropic prompt caching.

This release introduces enhanced Docker image signature verification using cosign and includes numerous bug fixes and new features across various components like proxy, guardrails, and UI. It also updates dependency constraints for Python and ddtrace.

This release introduces enhanced Docker image signature verification using cosign and includes numerous improvements to the UI, router, and proxy functionalities. Key updates involve new routing plugins, adaptive modes, and better handling of batch costs and authentication.

This release introduces significant infrastructure improvements, including a new Rust router/AI-Gateway, enhanced Docker image security via cosign verification, and numerous fixes across MCP, Anthropic, and Vertex integrations. Key features include Rust OCR support and new model pricing.

This release introduces new features like support for gpt-image-2 and AIHubMix provider, alongside numerous bug fixes across caching, logging, and provider integrations. It also contains a breaking change: the removal of the /ui/chat page.

This release introduces Docker image signing verification via cosign and adds support for new models like gpt-image-2 and providers like AIHubMix. Numerous security hardening measures and bug fixes were applied across proxy, authentication, and vector store integrations.

This release introduces Docker image signature verification via cosign and adds features like Dashscope image generation support and multi-region Vertex hosts. Numerous bug fixes address issues across providers, UI filtering, and budget tracking.

This release focuses heavily on bug fixes across various providers (Anthropic, Gemini, Vertex AI) and internal proxy/UI stability, alongside introducing Docker image signing verification via cosign.

This release focuses heavily on stability and feature parity across various providers, including significant fixes for Anthropic reasoning summaries, Gemini image handling, and Vertex AI pricing/streaming. It also introduces new features like Akto Guardrails integration and control plane management.

This release focuses heavily on bug fixes across various providers (Gemini, Anthropic, OpenAI, Azure, OpenRouter) and internal systems like MCP and caching. It also introduces new model support, performance optimizations for spendlogs and streaming latency, and new UI features for project management.

This patch release focuses on stability, fixing streaming issues with Azure OpenAI and correcting token usage calculation for Gemini 1.5 Flash.

This release introduces new model support for Azure BFL and Manus API, alongside performance enhancements like line_profiler and fixes for various provider integrations and Docker builds.

This release introduces a rebuilt UI, numerous new providers and model support, extensive guardrail enhancements, and many bug fixes, while deprecating the old `spend/logs` endpoint and removing feature flags.

This release introduces significant enhancements around Multi-Cloud Proxy (MCP) management via the UI and API, adds support for the Deepgram provider, and includes various performance and stability fixes across routing and logging.

This release introduces several new features, including expanded tool support for VertexAI and Bedrock, and enhanced compatibility with Gemini and Azure services. It also includes important bug fixes related to dependency versions and data tracking.

Version 1.65.4.post1 focuses heavily on reliability, reducing DB deadlocks by implementing Redis for spend updates and refining transaction logic. It also introduces several new model integrations and feature parity updates across providers like Vertex AI, Anthropic, and Gemini.

This release introduces instrumentation for Google ADK and adds token counting support for major AI providers (Anthropic, Gemini, OpenAI, Bedrock). It also includes a fix for a crash related to recent graphql-core updates and reduces outbound header size.

This release includes a bug fix addressing incorrect parsing of system messages when using the Anthropic provider.

Version 0.2.0-alpha.1 introduces significant enhancements to prompt handling, including new client helpers for OpenAI and Anthropic, and fixes related to tool handling and invocation parameters.