Anthropic

This release introduces Docker image signing with cosign for enhanced security and includes numerous bug fixes across various integrations and the UI. Key features include per-team New Relic trace routing and improved Azure AI Foundry authentication.

This release introduces enhanced Docker image security with cosign signature verification and adds several new features including structured logging, per-deployment overrides, and vector store index management. It also includes numerous bug fixes across various components like Bedrock, proxy, and UI.

This release introduces enhanced Docker image verification using cosign and includes numerous bug fixes and new features related to proxy, PTU (Provisioned Throughput Units), and UI improvements. Key updates focus on cost attribution, rate limiting, and better error handling.

This release introduces Docker image signature verification using cosign for enhanced security and adds features like declarative fallbacks and AES-256-GCM encryption for proxy credentials. Numerous bug fixes address issues across realtime processing, proxy permissions, Databricks tool calls, and UI stability.

This release introduces Docker image signature verification via cosign and adds several new features, including support for gpt-image-2 and AIHubMix provider. Numerous bug fixes address issues related to caching, logging, Vertex AI, and proxy stability.

This release introduces Docker image signing verification instructions and includes numerous bug fixes across proxy, S3, logging, and guardrails. It also features a breaking change reducing the default Prometheus latency histogram buckets.

This release introduces new features like the sagemaker_nova provider and various UI enhancements, alongside numerous bug fixes across providers (Anthropic, Gemini, Vertex AI) and infrastructure improvements, including security updates and better logging redaction.

This release focuses heavily on bug fixes across the proxy, UI, and logging systems, alongside infrastructure improvements like black formatting and dependency updates. Key features include enhanced Anthropic integration and new control plane capabilities for multi-proxy management.

This release focuses heavily on expanding support for various models (Gemini, Mistral Voxtral, Qwen3.5) and enhancing the Multi-Cloud Proxy (MCP) features, including new authentication and UI workflows. Numerous bug fixes address streaming issues, provider specific mappings, and security concerns.

This release focuses heavily on stability, bug fixes across various providers (including Bedrock, Cohere, Vertex AI), and significant improvements to the LiteLLM UI and OAuth2 support. New features include Websearch interception and support for Sarvam AI and Perplexity Research API.

This release introduces new model pricing, enhances guardrail functionality with a default failopen option, and includes numerous fixes across model integrations, pricing accuracy, and UI components. Performance bottlenecks under heavy load were also addressed.

This release introduces several new provider integrations, enhanced Prometheus metrics for monitoring, and numerous bug fixes across proxying, routing, and provider configurations. Performance improvements were also made to provider configuration lookups.

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 focuses heavily on bug fixes across various providers, including Anthropic, OpenAI Realtime API, and Gemini, alongside introducing new Azure AVA TTS and cost tracking features.

This release introduces feature enhancements for VertexAI image generation and Anthropic streaming, alongside improvements to Bulk User Edit and the addition of a GitHub Copilot specific header.

This release introduces several feature enhancements, including optional camelcase params for VertexAI image generation and improved Anthropic streaming behavior. It also includes updates for Bulk User Edits and the addition of the X-Initiator header for GitHub Copilot requests.

This release introduces significant feature additions, including support for Lambda AI, Morph, Recraft, Hyperbolic providers, and enhanced guardrail integrations. It also includes several bug fixes, notably resolving an FD leak with Gemini sync calls and improving header handling during async retries.

This release introduces several new features, including a bulk user update endpoint, support for the azure_ai/grok-3 model, and integration of Hosted VLLM rerank provider. Numerous bug fixes address issues across team endpoints, S3 logging, and various provider integrations.

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 significant improvements in video processing, adds support for new AI models from various partners, and includes numerous optimizations and bug fixes across different components of ComfyUI.

Unsloth introduces extensive customization for its Studio, including new color palettes, custom fonts, and seven new display languages. Agents are now safer with enhanced tool-call permissions and workspace isolation, while Intel GPUs gain GPU-accelerated inference via Vulkan `llama.cpp` support.

This release introduces significant enhancements to AI Guard, LLM Observability, and AppSec, including new features for handling audio in LLM messages, improved AI Guard controls, and enhanced detection of LLM usage in API endpoints. It also brings instrumentation support for Ray Serve and Mistral AI, along with various bug fixes and performance improvements.

This release introduces significant feature enhancements across MLFlow integration, AI Guard, LLM Observability, and adds process tag propagation across many components. Several bug fixes address issues in CI Visibility, tracing context handling, and profiler stability.

This release introduces significant new features across LLM Observability, AAP endpoint discovery, and experimental OTLP metrics export. It also includes numerous bug fixes, particularly addressing tracing and token counting issues in LLM integrations, and deprecates the `freezegun` integration for CI Visibility.

This release introduces significant enhancements to LLM Observability, adds support for runtime metrics as gauges, and includes various bug fixes across SCA, profiling, and tracing mechanisms. Agent connection configuration parsing has also been migrated to envier, affecting several environment variables.

This release focuses on bug fixes, including resolving legacy API key login issues and improving Anthropic SSE handling. It also includes several dependency updates and updates to underlying components like llama.cpp.

Hermes Agent v0.7.0 introduces a more resilient and extensible platform with pluggable memory providers, credential pool rotation, and enhanced security features. This release also brings significant improvements to the gateway, API server, and browser backend.

This release introduces async tool spec support across several integrations, adds new LLM providers like AI Badgr and Typecast, and provides significant updates to MongoDB and Vertex AI vector stores. It also includes various bug fixes for metadata filtering and Pydantic schema handling.

This release introduces support for Claude 4.5 and GPT-5.1-chat, adds the OVHcloud provider, and improves MultiModal index engines. It also includes critical bug fixes for async utilities, memory management, and various vector store connectors.

This release introduces OpenAI v2 SDK support, enhances tool calling for Google GenAI and Bedrock, and adds a new Scrapy-based web reader. It also includes critical fixes for ReAct agents and LanceDB indexing performance.

This release introduces SerpEx tool integration and expands tool call block support across Anthropic, MistralAI, and Ollama. It also adds significant updates to Bedrock, Couchbase vector stores, and GitHub authentication.

This release introduces new integrations for Isaacus and Helicone, adds async support for Bedrock retrievers, and includes critical security fixes for SQL parameterization in PostgresKVStore.

This release introduces support for next-generation models including GPT-5 and Claude 4.5/Haiku 4.5, adds Sglang and SignNow integrations, and provides significant bug fixes for document processing and streaming.

This release introduces support for Claude 4.5 and structured outputs for OpenAI-like models, while primarily addressing dependency issues and bug fixes across the ecosystem.

This release introduces HerokuEmbeddings support, Qdrant sharding, and GPT-5 model support, alongside critical stability fixes for streaming responses, empty vector stores, and concurrent reader usage.

This release introduces several new integrations including Heroku LLMs and Bedrock AgentCore tools, adds support for GPT-5 and Anthropic Opus 4.1, and deprecates the managed Llama Cloud index in favor of a new services package.

This release unifies Multi Modal LLMs into the base LLM class, introduces a security fix for the RAG CLI, and adds several integrations including LanceDB MultiModal and Anthropic citations.

This release introduces OpenTelemetry observability, Claude 4 support across multiple providers, and a new embeddings cache. It also includes critical security fixes for JSONReader and significant enhancements to the Model Context Protocol (MCP) integration.

This release introduces the Vectorize retriever and DeSearch tool, while providing critical bug fixes for tool call parsing in Bedrock and OpenAI, and improving multi-agent workflow stability.

This release introduces a major memory system revamp, adds several new integrations including Gel, Oxylabs, and Meta Llama-api, and provides critical bug fixes for ReAct agents and tool call parsing across multiple LLM providers.

This release introduces comprehensive native async support across the entire framework, including flows, agents, tools, and memory. It also includes critical bug fixes for OpenTelemetry integration, token store deadlocks, and Anthropic tool support.

This release drops support for Python 3.8 and includes bug fixes for stream handling, Pydantic v1 compatibility, and Python 3.14 support.

This release introduces manual API updates and adds beta headers for context management and model context window exceeded features.

This release introduces support for fine-grained tool streaming and resolves a conflict between default transport and proxy settings in the httpx client.

This release introduces image support for Bedrock, improves type safety with a py.typed marker, and includes critical fixes for Gemini streaming and Anthropic tool blocks.

This release introduces native caching (Redis/AutoCache), expands provider support to include DeepSeek and Anthropic parallel tools, and migrates Google integrations to the new google-genai SDK.

This release introduces Ollama and Writer provider support, improves Gemini and Anthropic integrations, and standardizes VertexAI async parameters. It also enhances error handling with a new exception hierarchy and resolves several dependency conflicts.

Release 1.8.1 introduces a unified provider interface and enables streaming support directly within the create method, alongside fixes for Anthropic web search.

This release focuses on internal maintenance, including a langchain-core version bump, extensive linting improvements via Ruff, and fixes for Unicode handling and standard test idempotency.

This release introduces client caching and benchmarking for the Anthropic integration, alongside documentation updates for cache TTL and relaxed dependency constraints for types-requests.