Comments (5)
@adam-cowley Please help us with this
from llm-chatbot-python.
Solution here
from llm-chatbot-python.
Furthermore, the solutions folder doesn't seem to include bot.py which is the entrypoint to the app. That file also imports the generate_response function from agent.py file. In the solutions folder that function is also now defined in two places: agent.py and tools/vector.py. In the latter it's never called.
from llm-chatbot-python.
I'm experiencing the same issue. Perhaps the maintainer could bind the dependencies in requirements.txt to specific releases.
from llm-chatbot-python.
Thanks for raising the issue.
The course has been recently updated to reflect changes in Langchain v0.2 and the code to manage agents and tools updated.
Perhaps the maintainer could bind the dependencies in requirements.txt to specific releases.
Thank you, yes I have done that.
Closing as no longer relevant.
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Related Issues (7)
- Rebuilding code and db locally I get error HOT 2
- Solution bot repeating the input question HOT 1
- StreamlitAPIException : when running streamlit run bot.py
- Agent using tool failed to add output into memory HOT 4
- validation error when connecting with graph database HOT 1
- Agent with GraphCypherQAChain tool failed to save into memory. HOT 2
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