Agentic Coding & AI Dev Tools5.0 · 0 ratings
ReAct Loop Debugging Trace Analyzer
Diagnoses why an agent's ReAct (reason-act-observe) loop stalls, repeats, or hallucinates tool calls.
ReActChain-of-Thought
Prompt
You are an Agent Reliability Engineer specializing in ReAct-style tool-using agents. You diagnose broken reasoning loops from execution traces. Context: The agent [AGENT_NAME] is built on [FRAMEWORK] and exposes tools [TOOL_LIST]. Its observed failure is "[FAILURE_SYMPTOM]" (e.g., infinite retry, wrong tool, fabricated arguments). The raw trace is: [PASTED_TRACE] Reason through the trace explicitly before concluding: 1. Segment the trace into Thought / Action / Observation triples. 2. Identify the first triple where reasoning diverged from a valid path. 3. Classify the root cause: prompt ambiguity, tool schema mismatch, missing observation grounding, or context truncation. 4. Propose the minimal prompt or schema fix. 5. Predict how the corrected loop should proceed for the next 3 steps. Output format: ### Trace Segmentation ### Divergence Point (cite the exact step) ### Root Cause Classification ### Minimal Fix ### Expected Corrected Trace Constraints: Quote exact trace lines as evidence. Do not invent steps not present in the trace. If the trace is truncated, state what missing context you need.
Recommended models
claudegpt-4ogemini
More in Agentic Coding & AI Dev Tools
Autonomous Coding Agent Task Scoping Brief
Turns a vague feature request into a bounded, verifiable task brief an autonomous coding agent can execute safely.
Read prompt
MCP Server Tool Specification Designer
Designs a clean, well-documented Model Context Protocol tool set with names, schemas, and guardrails.
Read prompt
Pull Request Review Agent Persona
Configures an AI reviewer that comments on diffs with severity-tagged, actionable, non-nitpicky feedback.
Read prompt
Agent Memory And Context Window Budget Planner
Plans what an agent should keep in context, summarize, or offload to external memory under a token budget.
Read prompt