f7dbdab5ba
Fix several docstring inaccuracies in langchain-core and update outdated LangSmith URLs across three README files. **Docstring fixes (libs/core):** - `tap_output_iter`: docstring says "async iterator" but method accepts sync `Iterator` - `agenerate_from_stream`: docstring says "Iterator" but method accepts `AsyncIterator` - `BaseLLM.OutputType`: docstring says "input type" but property returns output type - Grammar: "or deprecated" → "or be deprecated", "relies" → "rely", "whose the" → "whose" **URL fixes (libs/core, libs/langchain, libs/langchain_v1):** - Updated `smith.langchain.com` → `www.langchain.com/langsmith` (root README already uses the correct URL) Verified with `make lint` and `make format` in libs/core — no new issues introduced. Changes are docs-only with no code logic impact. *This PR was created with assistance from an AI coding tool.*
2.8 KiB
🦜️🔗 LangChain
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
pip install langchain
🤔 What is this?
LangChain is the easiest way to start building agents and applications powered by LLMs. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. LangChain provides a pre-built agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications.
We recommend you use LangChain if you want to quickly build agents and autonomous applications. Use LangGraph, our low-level agent orchestration framework and runtime, when you have more advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency.
LangChain agents are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangChain, see the LangChain Docs. You can also chat with the docs using Chat LangChain.
📕 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.