mirror of
https://github.com/hwchase17/langchain.git
synced 2026-06-09 18:50:33 +00:00
70f5626579
## Description Fixes #36400 During streaming, `AIMessageChunk.__add__` list-concatenates `reasoning_details` in `additional_kwargs`, fragmenting a single entry into many. When `_convert_message_to_dict()` serializes conversation history back to the OpenRouter API for the next turn, these fragmented entries cause `BadRequestResponseError`. ### Changes - Add `_merge_reasoning_details()` helper that merges consecutive entries sharing the same `type` and `index` (streaming fragments) while preserving distinct entries (legitimate non-streaming data) - Metadata from later fragments (e.g. `signature`) is preserved in the merged result - Entries without `index` are never merged (safe for non-streaming responses) - Call `_merge_reasoning_details()` in `_convert_message_to_dict()` before serializing `reasoning_details` ### Why merge instead of drop? Non-streaming users (`invoke()`) rely on `reasoning_details` for structured metadata (`type`, `signature`, `format`, `index`). Dropping it entirely would be a regression. This approach fixes streaming while preserving non-streaming functionality, similar to `langchain-openai`'s `_implode_reasoning_blocks()`. ## Test plan - [x] Fragmented entries (same type + same index) are merged into one - [x] Distinct entries (different index) are preserved separately - [x] Entries without index are never merged - [x] Metadata from later fragments (e.g. signature) is preserved - [x] Single-entry lists pass through unchanged - [x] Round-trip (dict → message → dict) works correctly - [x] All 210 unit tests pass --------- Co-authored-by: Mason Daugherty <github@mdrxy.com> Co-authored-by: Mason Daugherty <mason@langchain.dev>
langchain-openrouter
Quick Install
pip install langchain-openrouter
🤔 What is this?
This package contains the LangChain integration with OpenRouter, a unified API for hundreds of AI models across many providers.
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using these classes, see the LangChain Docs.
📕 Releases & Versioning
See our Releases and Versioning policies.
💁 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.