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Training recipe 1) Multi‑agent distillation turns successful OAgents runs into CoA‑formatted traces with planning, tool calls, observations, and reflection, filtered for difficulty and quality; 2) Agentic RL targets hard queries where tools matter, with simple binary rewards via LLM‑as‑Judge for web tasks and executable or exact‑match rewards for code/math.
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