4717cfc83b
`ChatOpenAI` now supports OpenAI explicit prompt-cache options and content-block breakpoints, and exposes cache-write token counts through `input_token_details["cache_creation"]`. [(Docs)](https://developers.openai.com/api/docs/guides/prompt-caching?prompt-cache-api=responses#prompt-cache-breakpoints) --- OpenAI users can now configure explicit prompt caching through `ChatOpenAI` without cache controls being dropped when messages are converted for the Responses API. The change preserves `prompt_cache_breakpoint` on text, image, and file content blocks; forwards request-level cache options and legacy retention settings; and reports `cache_write_tokens` as `cache_creation` usage metadata, including priority and flex service-tier variants. It also raises the minimum OpenAI SDK version to 2.45.0 so the integration can rely on the SDK's current prompt-caching schemas instead of compatibility normalization. --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
🦜️🔗 LangChain Classic
Looking for the JS/TS version? Check out LangChain.js.
To help you ship LangChain apps to production faster, check out LangSmith. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.
Quick Install
uv add langchain-classic
🤔 What is this?
Legacy chains, langchain-community re-exports, indexing API, deprecated functionality, and more.
In most cases, you should be using the main langchain package.
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangChain, 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.
Resources
- LangChain Academy — comprehensive, free courses on LangChain libraries and products, made by the LangChain team
- Code of Conduct — community guidelines and standards