LangGraph

This release introduces significant improvements to the MCP (Multi-modal Conversational Protocol) handling, including new elicitation features and tool conversion. It also brings general bug fixes and refactors across various components.

This release adds support for Azure CosmosDB, HTTPX2, and LangChain/LangGraph streaming events. It also includes fixes for package reporting, lookup performance, and MySQL database name reporting.

This release addresses critical bugs related to context propagation in LangChain/LangGraph and fixes issues with recording OpenAI chat completions, especially when streaming via LiteLLM.

This release introduces support for LangGraph agents by adding instrumentation for their invocation methods within LangChain. Users are encouraged to keep their agents updated for the best support.

This release introduces the technical preview of the AI Guard Python SDK, adds experimental CI Visibility writer separation, and enhances LLM Observability tracing across several integrations. Several deprecations are noted, including the removal of Windows profiling support and the deprecation of `ddtrace.settings.__init__` imports.

This release introduces the technical preview of the AI Guard Python SDK, enhances LLM Observability tracing across several frameworks, and removes Windows support for profiling. Several bug fixes address issues in AAP, tracing sampling consistency, and various integrations like Kafka and OpenAI.

This release introduces the technical preview of the AI Guard Python SDK and adds significant features to LLM Observability and CI Visibility, while removing Windows support for profiling and deprecating older tracing initialization methods.

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 introduces extensive new tracing support across LLM frameworks (Bedrock, CrewAI, LiteLLM, OpenAI Agents) and LangGraph, alongside DBM propagation for PyMongo. Several deprecations for older tracing standards and bug fixes across IAST, CI Visibility, and core integrations are also included.