Responses API

This bug fix release introduces significant improvements including experimental auto compaction for longer chats, preview of remote & LAN access, and enhanced chat/hardware/API functionalities. It also includes over 170 PRs addressing bugs, reliability, and performance.

This bug fix release introduces significant improvements including experimental auto compaction for longer chats, preview of remote & LAN access, and enhanced hardware support with Intel XPU. It also resolves numerous bugs across MLX, AMD, and UI components.

This release introduces Docker image signature verification using cosign and enhances the auto-router with shadow evaluation capabilities. It also includes numerous bug fixes and UI improvements, with many components migrated to shadcn.

This release introduces enhanced Docker image signature verification using cosign and includes numerous bug fixes and performance improvements across various components like the UI, auto-router, and proxy. Several new features enhance configurability and control for operators.

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 focuses heavily on security by introducing Docker image signing verification via cosign and includes numerous fixes across various providers (Anthropic, Azure, Gemini, Bedrock) and proxy features, alongside new model support like GPT-5.5.

This release introduces Docker image signing via cosign for enhanced security and adds support for new models like GPT-5.5/5.4 snapshots and Bedrock GLM-5. Numerous fixes address streaming issues, model pricing accuracy, and security hardening across proxy and authentication layers.

This release focuses heavily on bug fixes across proxy functionality, UI components, and provider integrations, alongside infrastructure updates like dependency regeneration and code formatting. New features include enhanced team listing access control and proxy-wide rate limits.

This release introduces significant feature enhancements across vector stores (Milvus, Azure AI), OCR providers (VertexAI, Azure AI Doc Intelligence), and new integrations like Bedrock Agentcore and CyberArk Secrets Manager. Numerous bug fixes address issues related to Pydantic warnings, API parameter handling, and cost calculation across various providers.

This release introduces significant feature enhancements, including Milvus vector store support and expanded Passthrough API capabilities for Azure AI Vector Stores. It also addresses several critical bugs related to memory usage, AWS Bedrock, and model configuration.

This release introduces significant enhancements to vector store support (Milvus, Azure AI), adds custom provider support for video endpoints, and resolves several critical bugs related to Pydantic warnings, AWS Bedrock, and Azure API handling. It also includes various UI improvements and fixes.

This release introduces significant feature enhancements, including support for Lasso API v3, OpenTelemetry context propagation, and various UI improvements. Numerous bug fixes address issues across Azure OpenAI, logging, guardrails, and provider integrations.

This release introduces significant feature enhancements, including support for Lasso API v3, OpenTelemetry context propagation, and various UI improvements for credential and guardrail management. Numerous bug fixes address issues across Azure OpenAI, logging, and provider configurations.

This release introduces significant enhancements across observability (OpenTelemetry), guardrails, and the UI, alongside numerous bug fixes for providers like Azure OpenAI and improved performance.

This release introduces several new features, including support for dynamic client registration, OpenTelemetry context propagation, and FAL AI Image Generations. Numerous bug fixes address issues across Azure OpenAI, Guardrails, logging, and UI components.

This release introduces significant feature enhancements, particularly around Search APIs, Vector Stores (Vertex AI), and Guardrail integration across various endpoints. Numerous bug fixes address issues related to error handling, configuration mapping, and security for the Responses API.

This release introduces significant feature enhancements, including support for new Search APIs (DataforSEO, Google PSE), expanded Vector Store capabilities (Vertex AI Search), and major updates to Guardrail functionality across various endpoints. Numerous bug fixes address issues related to error handling, configuration mapping, and cost tracking.

This release introduces support for new providers like CometAPI and Azure AI Flux Image Generation, alongside numerous bug fixes for streaming and parameter handling across various models. It also includes performance enhancements for OpenAI calls via an experimental flag and updates to proxy and management UI features.

This nightly release focuses heavily on bug fixes across various providers, enhances cost tracking for Bedrock and Azure OpenAI assistants, and introduces new features like Eleven Labs STT support and local LLM translation testing.

This release introduces significant feature enhancements across multiple providers, including Gemini parallel tool calls, Azure image edits, and Bedrock video support. Numerous bug fixes address issues related to dependencies, provider configurations, and UI stability.

This release introduces Helicone support, enables parallel function calling for Gemini models, and adds Bedrock InvokeAgents routing via the LiteLLM Proxy. Numerous bug fixes address issues across debugging, audio transcription, Azure models, and Bedrock integrations.

This release introduces new features like Helicone support, Bedrock InvokeAgents routing, and enhanced Gemini model capabilities. It also includes numerous bug fixes across various providers and proxy components.

This release introduces significant feature enhancements, including support for Bedrock Knowledge Bases, new model integrations (like llamafile and gpt-4o-mini-tts), and expanded rate limiting capabilities. Numerous bug fixes address issues across Redis, API responses, cost tracking, and the LiteLLM UI.

This release introduces significant feature enhancements, including support for custom migration directories, Azure DALL-E custom pricing, Bedrock Knowledge Bases integration, and new API header support. Numerous bug fixes address issues across the UI, streaming usage, and various API integrations.

This hotfix release bumps minimum core dependency versions and introduces content-block-centric streaming (v2) while fixing an issue with the Responses API check.

This release focuses on bug fixes for the OpenAI integration, specifically improving error handling for structured output refusals and refining token counting logic for function calls.

Version 1.1.1 of langchain-openai addresses a bug in the Responses API when mixing tool types and includes minor documentation improvements.

This release focuses on bug fixes for OpenAI model integrations, specifically enabling temperature settings for GPT-5 chat models and improving response API input handling.

Release 0.3.26 focuses on bug fixes for function calling and Azure streaming headers, while adding output format support for the Responses API.

This release introduces support for the Responses API across BaseChatOpenAI and AzureChatOpenAI, including streaming capabilities and automated routing based on attribute configuration.

This release focuses on stability and correctness, including fixes for validation errors, configuration label loss, and crashes related to list object processing.