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Hello. Thanks for the great work on this agent, it has helped me develop a much better understanding of how to leverage langchain and openai.
That being said, I am having some trouble getting the agent to have a full conversation and address essential stages in the conversation. I made my own custom stages but kept the stage analyzer chain the same (with the new conversation stages). Any idea why this is happening?
The text was updated successfully, but these errors were encountered:
@isaacharlem
Hello! I believe the result of the determine_conversation_stage function is not being used in run.py and in the prompt.
I added sales_agent.determine_conversation_stage() to run.py, included "conversation_stage" in the input_variables of SALES_AGENT_INCEPTION_PROMPT within chains.py, and added Current conversation stage: {conversation_stage} in SALES_AGENT_INCEPTION_PROMPT from prompts.py.
After these changes, it started working as in sales_agent_with_context.ipynb.
Hello. Thanks for the great work on this agent, it has helped me develop a much better understanding of how to leverage langchain and openai.
That being said, I am having some trouble getting the agent to have a full conversation and address essential stages in the conversation. I made my own custom stages but kept the stage analyzer chain the same (with the new conversation stages). Any idea why this is happening?
The text was updated successfully, but these errors were encountered: