Introduction to Langsmith a nice visualizer of LangChain workflows 

Understanding why LangChain answered with a specific response when you use the ReAct framework can be complex, especially because you need to verify all the interaction that occurred between LangChain and the model that orchestrate everything.
Thanks to LangSmith smith.langchain.com/ we have a really useful web interface that makes possible to debug all the interaction between LangChain and large language models. This allows us to quickly diagnose problems.ì
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
00:00 - Introduction to Langsmith and Langchain
00:25 - Setting up everything
03:01 - Detailed Analysis of Agent Interaction with Large Language Model
04:24 - Explanation of Tool Invocation and Parameters
05:23 - Troubleshooting Incorrect Output from GPT 3.5
06:16 - Using LangSmith to Identify Incorrect Input and Output
08:11 - Comparing Agent Interaction with GPT 4 and GPT 3.5
08:52 - Importance of Metadata in Understanding Agent Interaction
09:46 - Conclusion and Benefits of Using Langsmith for Troubleshooting

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