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.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

ReAct

A react technique used to shape and strengthen the model's response.

Chain-of-Thought

Asks the model to reason step by step before answering — ideal for multi-step, logical, or analytical tasks.

Learn this technique

Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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