Fix: evaluation leaks api_key in metadata; fix llm_config
argument in run infer
#2998
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What is the problem that this fixes or functionality that this introduces? Does it fix any open issues?
llm_config
insideEvalMetadata
no longer hides sensitive info when dumped into JSON.LLM
's input keyword argument change fromllm_config
toconfig
Give a summary of what the PR does, explaining any non-trivial design decisions
EvalMetadata
into a JSON viamodel_dump_json
llm_config=
toconfig=
in allrun_infer.py
Other references