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)		2023-02-07 21:21:57 -08:00
..
chains	Harrison/improve memory (#432)	2022-12-27 08:23:51 -05:00
embeddings	rfc: instruct embeddings (#811)	2023-02-02 08:44:02 -08:00
llms	Add asyncio support for LLM (OpenAI), Chain (LLMChain, LLMMathChain), and Agent (#841)	2023-02-07 21:21:57 -08:00
vectorstores	Harrison/save faiss (#916)	2023-02-06 21:44:50 -08:00
__init__.py
test_googlesearch_api.py	Harrison/new search engine (#477)	2022-12-30 08:06:57 -05:00
test_ngram_overlap_example_selector.py	Harrison/ngram example (#846)	2023-02-02 09:44:42 -08:00
test_nlp_text_splitters.py	OptimizedPrompt -- k-shot example choice backed by semantic search (#91)	2022-11-09 21:15:42 -08:00
test_serpapi.py	move search to not be a chain (#226)	2022-11-29 20:07:44 -08:00
test_text_splitter.py	Add alternative token-based text splitter (#816)	2023-02-02 19:55:13 -08:00
test_wolfram_alpha_api.py	Harrison/wolfram alpha (#579)	2023-01-11 05:52:19 -08:00