I am trying to create a LangChain ReAct agent that manages GitHub issues. I created a function like this:

I am building a simple RAG usin ChatNvidia as my llm but I keep getting this error:
TypeError: Object of type FieldInfo is not JSON serializable
each time I try running this code:

I am building a simple RAG usin ChatNvidia as my llm but I keep getting this error:
TypeError: Object of type FieldInfo is not JSON serializable
each time I try running this code:

I am building a simple RAG usin ChatNvidia as my llm but I keep getting this error:
TypeError: Object of type FieldInfo is not JSON serializable
each time I try running this code:

I am building a simple RAG usin ChatNvidia as my llm but I keep getting this error:
TypeError: Object of type FieldInfo is not JSON serializable
each time I try running this code:

I am building a simple RAG usin ChatNvidia as my llm but I keep getting this error:
TypeError: Object of type FieldInfo is not JSON serializable
each time I try running this code:

I am building a simple RAG usin ChatNvidia as my llm but I keep getting this error:
TypeError: Object of type FieldInfo is not JSON serializable
each time I try running this code:

I am working with LangChain’s LLMChain to process large documents. I see quite some problems when the input text exceeds the token limit of the language model. For long input text, it has significant slowdowns and can even sometimes fail due to overflow of tokens.

I have built a RAG system like this:

I am successfully able to use ChatGPT and upload a word document that is a course script and then upload a spreadsheet with a few exact examples showing the LLM how I want the word doc script to be converted to the same format as the spreadsheet. Then I ask the LLM to do the same for similar page types in the word document without further examples and it uses its knowledge of the previous examples to extract out the appropriate data. This all works.