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I cloned autodeepresearch. Walk me through setting up my OpenAI-compatible API key and Tavily API key with uv, then running the first experiment round.
Help me read the experiments/report.html output from autodeepresearch and interpret what the score trend and per-round change notes are telling me.
I want to add a sixth benchmark task to autodeepresearch. Show me the format the existing five tasks use and how to add a new one with reference checkpoints.
Explain how autodeepresearch's RACE scoring works and what each of the four dimensions measures so I can interpret the AI judge's scores.
Show me how to modify deepresearch_agent.py to replace Tavily with a different search API without breaking the autodeepresearch evaluation loop.
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