community: Add token_usage and model_name metadata to ChatZhipuAI stream() and astream() response

[suifengfengye]

Thank you for contributing to LangChain!

• Description: Add token_usage and model_name metadata to ChatZhipuAI stream() and astream() response

• Issue: None

• Dependencies: None

• Twitter handle: None

• Add tests and docs: If you're adding a new integration, please include

  1. a test for the integration, preferably unit tests that do not rely on network access,
  2. an example notebook showing its use. It lives in docs/docs/integrations directory.

• Lint and test: Run make format, make lint and make test from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:

• Make sure optional dependencies are imported within a function.
• Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests.
• Most PRs should not touch more than one package.
• Changes should be backwards compatible.
• If you are adding something to community, do not re-import it in langchain.

If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.

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Name	Status	Preview	Comments	Updated (UTC)
langchain	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Oct 28, 2024 10:05am

[ccurme]

Consider adding the token usage to the standard usage_metadata dict on AIMessage.

Example:

langchain/libs/partners/openai/langchain_openai/chat_models/base.py

Lines 337 to 338 in 8a5807a

	if usage_metadata and isinstance(message_chunk, AIMessageChunk):
	message_chunk.usage_metadata = usage_metadata