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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
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async_agent.ipynb	Add asyncio support for LLM (OpenAI), Chain (LLMChain, LLMMathChain), and Agent (#841)	1 year ago
custom_agent.ipynb	update notebook and make backwards compatible (#772)	1 year ago
custom_tools.ipynb	Harrison/tool decorator (#790)	1 year ago
intermediate_steps.ipynb	Docs refactor (#480)	1 year ago
load_from_hub.ipynb	Centralize logic for loading from LangChainHub, add ability to pin dependencies (#805)	1 year ago
max_iterations.ipynb	more robust handling for max iterations (#514)	1 year ago
multi_input_tool.ipynb	Docs refactor (#480)	1 year ago
search_tools.ipynb	Docs refactor (#480)	1 year ago
serialization.ipynb	(wip) Harrison/serialize agents (#725)	1 year ago