Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents
A new arXiv paper (2604.27233) introduces a framework that moves LLM evaluation into the execution loop at inference time for tool-calling agents. A specialized reviewer agent evaluates provisional tool calls before execution, shifting from post-hoc recovery to proactive error mitigation. This architecture separates concerns between primary execution and secondary review agents. The paper systematically measures the tradeoff where the reviewer may introduce new errors while correcting others, a gap not addressed in prior work.
Key facts
- Paper ID: arXiv:2604.27233
- Introduces inference-time evaluation for tool-calling agents
- Reviewer agent evaluates provisional tool calls prior to execution
- Shifts paradigm from post-hoc recovery to proactive evaluation
- Establishes separation of concerns between execution and review agents
- Systematically measures tradeoff of reviewer-introduced errors
- No prior work has measured this tradeoff
- Addresses limitations of post-hoc LLM trajectory assessments
Entities
Institutions
- arXiv