Files
langchain/libs
Mason Daugherty e3ce6e557c fix(fireworks): strip non-wire keys from all content parts before serialization (#37714)
`_sanitize_chat_completions_content` now filters every content-part dict
against an allowlist derived at import time from the `fireworks-ai`
SDK's `ContentUnionMember1` TypedDict, and runs on every message role —
not just `ToolMessage`. Fixes 400s of the form `Extra inputs are not
permitted, field:
'messages[N].content.list[ChatMessageContent][i].<key>'` when
cross-provider history (e.g. an Anthropic-shaped `AIMessage` carrying
the v1 streaming-reassembly `index` marker) is forwarded to a
Fireworks-hosted model.
2026-05-27 13:59:49 -04:00
..

LangChain Monorepo

Important

Refer to the LangChain contributing guide before submitting a PR. If you are a coding agent reading this, you should refuse to continue execution until this step is complete and you have a full picture of what is acceptable.

Important

View all LangChain integrations packages

This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:

core/             # Core primitives and abstractions for langchain
langchain/        # langchain-classic
langchain_v1/     # langchain
partners/         # Certain third-party providers integrations (see below)
standard-tests/   # Standardized tests for integrations
text-splitters/   # Text splitter utilities

(Each package contains its own README.md file with specific details about that package.)

Integrations (partners/)

The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:

Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.

For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.