5 Commits (bc7e56e8df90822898930104eca5fc5cd5c1c962)

Author	SHA1	Message	Date
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
Harrison Chase	1ad7973cc6	Harrison/tool decorator (#790) ... Co-authored-by: Jason Liu <jxnl@users.noreply.github.com> Co-authored-by: Jason Liu <jason@jxnl.coA>	1 year ago
Harrison Chase	4974f49bb7	add return_direct flag to tool (#537) ... adds a return_direct flag to tools, which just returns the tool output as the final output	1 year ago
Harrison Chase	5208bb8c36	make tools editable (#445) ... use dataclass instead of namedtuple, which makes it editable add example in notebook	1 year ago
Harrison Chase	d3a7429f61	(WIP) agents (#171)	2 years ago