4 Commits (97bcca751833aa8d2bb4bb885ef274a42676f991)

Author	SHA1	Message	Date
Harrison Chase	0e21463f07	(rfc) chat models (#1424) ... Co-authored-by: Ankush Gola <ankush.gola@gmail.com>	1 year ago
Ankush Gola	fe30be6fba	add async and streaming support to `OpenAIChat` (#1378) ... title says it all	1 year ago
Jonathan Pedoeem	05ad399abe	Update PromptLayerOpenAI LLM to include support for ASYNC API (#1066) ... This PR updates `PromptLayerOpenAI` to now support requests using the [Async API](https://langchain.readthedocs.io/en/latest/modules/llms/async_llm.html) It also updates the documentation on Async API to let users know that PromptLayerOpenAI also supports this. `PromptLayerOpenAI` now redefines `_agenerate` a similar was to how it redefines `_generate`	1 year ago
Ankush Gola	bc7e56e8df	Add asyncio support for LLM (OpenAI), Chain (LLMChain, LLMMathChain), and Agent (#841) ... 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)	1 year ago