ReAct Framework: Reason, Act & Observe
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ReAct Loop Architecture Breakdown
User Goal: "Check current weather in Mumbai and calculate flight travel time from Delhi"
│
├─► [THOUGHT 1]: Need to find Delhi to Mumbai distance and weather status.
├─► [ACTION 1]: call_tool("get_weather", {"city": "Mumbai"})
├─► [OBSERVE 1]: {"temp": "31C", "condition": "Sunny"}
│
├─► [THOUGHT 2]: Weather retrieved. Now calculating average flight duration.
├─► [ACTION 2]: call_tool("flight_calculator", {"origin": "DEL", "dest": "BOM"})
├─► [OBSERVE 2]: {"duration_hours": 2.15, "distance_km": 1148}
│
└─► [FINAL ANSWER]: Flight time is ~2 hours 10 mins. Mumbai weather is sunny at 31°C.
By forcing explicit reasoning traces before invoking external APIs, the ReAct pattern prevents hallucinated tool calls and provides full debuggability into the agent's internal state.
Try ReAct in the Interactive Player
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