Files
langchain/libs/partners/openai
Nick Hollon 810def4fc5 test(core): add stream lifecycle validator and provider coverage
New `langchain_tests.utils.stream_lifecycle.assert_valid_event_stream`
helper enforces the protocol contract on any event stream:

- single message-start / message-finish envelope
- blocks do not interleave (each block finishes before the next starts)
- sequential uint wire indices from 0
- accumulated deltas match the finish payload for deltaable types

Applied at three levels:

- core/test_compat_bridge: provider-style emission patterns exercised
  directly through chunks_to_events / message_to_events (openai chat
  completions int indices, openai responses/v1 string identifiers,
  anthropic-style per-chunk int indices, inline image, invalid tool
  call, empty stream)
- openai partner: validator applied to stream_v2 against the existing
  responses-api mock and to a new chat-completions stream_v2 test
- anthropic partner: new mock stream of RawMessageStartEvent +
  RawContentBlock* events threaded through _stream via `_create`
  patch; covers thinking + text + tool_use lifecycle with tool-use
  stop_reason

Enabling thinking on the anthropic test flips coerce_content_to_string
off so every block carries a proper integer index — the structured
path the bridge actually exercises. Default-mode (no tools / thinking /
docs) coerces text to a plain string and strips per-chunk indices; the
bridge handles that branch by collapsing to positional-0 and it is a
known separate code path, intentionally not covered here.
2026-04-21 12:17:56 -04:00
..
2026-01-13 01:54:11 -05:00

langchain-openai

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Looking for the JS/TS version? Check out LangChain.js.

Quick Install

pip install langchain-openai

🤔 What is this?

This package contains the LangChain integrations for OpenAI through their openai SDK.

📖 Documentation

For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs.

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💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.