pytest

This release introduces enhanced Docker image signature verification using cosign and includes numerous bug fixes across various modules like SCIM, cost tracking, streaming, and proxy functionalities. It also adds new features for auto-routed responses, savings visualization, and support for new models and providers.

This release introduces new features like `reasoning_effort` parameter and content-block-centric streaming, alongside several bug fixes and dependency updates.

This release primarily focuses on dependency updates across various components, including langsmith, vcrpy, and pytest, alongside introducing package version tracking for tracing metadata.

This release focuses heavily on dependency updates, particularly within `langchain-model-profiles`, and introduces content-block-centric streaming (v2) in the core library. Bug fixes address issues in Anthropic, Fireworks, and schema drift warnings in model profiles.

This major release introduces significant API breaking changes, including the removal of Python 3.8 support, deprecated methods, and configuration variables. New features focus on AAP, profiling enhancements, and LLM Observability updates, while Django tracing defaults to a minimal mode.

This release focuses primarily on bug fixes across CI Visibility, gRPC, Ray integrations, and internal module unloading issues. It also includes a tentative fix for rare memory problems in AAP.

This release introduces significant new features for LLM Observability across multiple integrations (Bedrock, GenAI, OpenAI, VertexAI) and adds experimental OTLP log exporting support via OpenTelemetry. It also includes several bug fixes, notably around websocket span closing and sampling rules, and deprecates ddtrace.tracer.Pin.

This release focuses on bug fixes across CI Visibility, psycopg, and Code Security (IAST) to improve stability and compatibility with specific testing patterns and Python's eval() function.

This release introduces significant new features for LLM Observability across various frameworks (Anthropic, Bedrock, Google GenAI, OpenAI) and enhances tracing support for Django and MCP. Several bug fixes address issues related to CI Visibility test reporting, LLM token counting accuracy, and instrumentation 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 new features for LLM Observability across various providers (Anthropic, Bedrock, Google GenAI, OpenAI) and adds experimental support for OTLP metrics export. Several bug fixes address tracing accuracy, LLM token counting, and integration stability, while the \`freezegun\` integration is deprecated.

This release focuses on bug fixes, addressing issues in CI Visibility for pytest retries and resolving a SystemError in the memory profiler.