AI Agent Loop Sandbox
Interactive Cognitive Cycle & Execution Trace Explorer for Autonomous Agents
Pattern: ReAct (Reason + Act)
▶ Step Loop
⚡ Run Full Loop
↺ Reset
1. Cognitive State Transition Graph
Active Stage: Goal Formulation
Agent Parameters & Tool Sandbox
Scenario Preset
Market Research & Math
SQL Bug Diagnosis
Multi-Step Trip Planner
Architecture
ReAct (Thought → Act → Obs)
Plan-and-Execute
Self-Reflection Loop
Fault Injection
None (Clean Run)
Tool 429 Rate Limit (Auto-Retry)
Invalid Tool Args (Self-Correct)
Active User Goal / Prompt
Find 2024 datacenter energy consumption and compute total yearly cost at $0.08 per kWh.
2. Execution Trace & Context Memory
Max Iterations:
0 / 4
0
Tokens Used
0.0%
Context Window
0
Tool Invocations
STANDBY
Agent State
Context Allocation:
■ System
■ Scratchpad
■ Tool Payload
Budget: 2,000 max
🎯 FINAL SYNTHESIS & RESOLUTION
📥 Export Trace (.JSON)
🐍 Export Python / LangGraph Code
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