Harrison/aim integration #2178
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Harrison/aim integration #2178
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Integrating Aim with LangChain allows for a streamlined and efficient method of tracking and recording LangChain experiments. By using Aim, users can log important information such as prompts, generated results, and serialized LangChain modules. The following additions have been made to the system: - A callback handler called `AimCallbackHandler` for storing chain responses - An example .ipynb file named `aim_tracking.ipynb` providing guidance The following event listeners have been integrated: - on_llm_start - on_llm_end - on_llm_new_token - on_llm_error - on_chain_start - on_chain_end - on_chain_error - on_tool_start - on_tool_end - on_tool_error - on_text - on_agent_finish - on_agent_action Aim makes it super easy to visualize and debug LangChain executions. Aim tracks inputs and outputs of LLMs and tools, as well as actions of agents. With Aim, you can easily debug and examine an individual execution: --------- Co-authored-by: Gor Arakelyan <arakelyangor10@gmail.com>
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