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## Key Features
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-**Native verl AgentLoop multi-turn search rollout**: Uses verl's AgentLoop abstraction to connect search tools, enabling multi-turn search, reading, reasoning, and answer generation during actor rollout.
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-**Reproducible Search-R1 and ASearch recipes**: Provides scripts for reproducing short-horizon Search-R1 training and long-horizon Qwen3-8B ASearch training.
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-**Local dense retriever and custom search services**: Supports a Search-R1-style local E5 + Wikipedia retrieval service by default, while allowing users to replace it with their own retriever or search API.
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-**Abnormal trajectory monitoring**: Tracks Search Agent-specific metrics during training, including tool call success rate, average search turns, repeated queries, excessive parallel queries, tool parsing failures, and trajectory truncation.
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-**Abnormal trajectory filtering and credit assignment**: Filters or penalizes low-quality trajectories such as repeated searches, too many parallel queries in one turn, and malformed tool calls. When an abnormal event occurs in only one tool-call turn, only the tokens related to that turn are penalized, reducing unintended punishment of earlier valid search behavior.
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-**Search result summary compression**: Supports self-summary and external-summary to preserve key information across more search turns within a limited context budget.
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