e91da86efe
Streaming token usage was silently dropped for `ChatOpenRouter`. Both
`_stream` and `_astream` skipped any SSE chunk without a `choices` array
— which is exactly the shape OpenRouter uses for the final
usage-reporting chunk. This meant `usage_metadata` was never populated
on streamed responses, causing downstream consumers (like the Deep
Agents CLI) to show "unknown" model with 0 tokens.
## Changes
- Add `stream_usage: bool = True` field to `ChatOpenRouter`, which
passes `stream_options: {"include_usage": True}` to the OpenRouter API
when streaming — matching the pattern already established in
`langchain-openai`'s `BaseChatOpenAI`
- Handle usage-only chunks (no `choices`, just `usage`) in both
`_stream` and `_astream` by emitting a `ChatGenerationChunk` with
`usage_metadata` via `_create_usage_metadata`, instead of silently
`continue`-ing past them
Packages
Important
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.