Jobs_Applier_AI_Agent
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[FEATURE]: LangChain Traceability
Feature summary
Get user to trace their LLM usage on LangChain
Feature description
Since this project uses LangChain to manage all the LLM requests, It would be great to let user to trace all the use of LLM on LangChain/LangSmith platform.
I tried to supply the LangChain environment variables in the main func as instructed by LangChain:
`os.environ['LANGCHAIN_TRACING_V2'] = 'true'
os.environ['LANGCHAIN_ENDPOINT']="https://api.smith.langchain.com"
os.environ['LANGCHAIN_API_KEY']="******************"
os.environ['LANGCHAIN_PROJECT']="*******"`
error:
Failed to batch ingest runs: LangSmithError('Failed to POST https://api.smith.langchain.com/runs/batch in LangSmith API. HTTPError(\'403 Client Error: Forbidden for url: https://api.smith.langchain.com/runs/batch\', \'{"detail":"Forbidden"}\')') ^C Aborted! Failed to batch ingest runs: LangSmithError('Failed to POST https://api.smith.langchain.com/runs/batch in LangSmith API. HTTPError(\'403 Client Error: Forbidden for url: https://api.smith.langchain.com/runs/batch\', \'{"detail":"Forbidden"}\')')
Motivation
No response
Alternatives considered
No response
Additional context
No response