mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-09 17:18:31 +00:00
bc7e56e8df
Supporting asyncio in langchain primitives allows for users to run them concurrently and creates more seamless integration with asyncio-supported frameworks (FastAPI, etc.) Summary of changes: **LLM** * Add `agenerate` and `_agenerate` * Implement in OpenAI by leveraging `client.Completions.acreate` **Chain** * Add `arun`, `acall`, `_acall` * Implement them in `LLMChain` and `LLMMathChain` for now **Agent** * Refactor and leverage async chain and llm methods * Add ability for `Tools` to contain async coroutine * Implement async SerpaPI `arun` Create demo notebook. Open questions: * Should all the async stuff go in separate classes? I've seen both patterns (keeping the same class and having async and sync methods vs. having class separation) |
||
|---|---|---|
| .. | ||
| combine_docs_examples | ||
| examples | ||
| generic | ||
| async_chain.ipynb | ||
| combine_docs_how_to.rst | ||
| combine_docs.md | ||
| generic_how_to.rst | ||
| getting_started.ipynb | ||
| how_to_guides.rst | ||
| key_concepts.md | ||
| utility_how_to.rst | ||