Part 18
Completed
Agent Loops and Tool Use
Implemented autonomous agent systems with ReAct, Reflexion, and Plan-and-Solve patterns. Built tool use capabilities: calculator, search, code execution, and API calling. Evaluated on multi-step reasoning, web navigation, and complex task decomposition.
What I Built
Implemented autonomous agent systems with ReAct, Reflexion, and Plan-and-Solve patterns. Built tool use capabilities: calculator, search, code execution, and API calling. Evaluated on multi-step reasoning, web navigation, and complex task decomposition.
Key Concepts
ReActReflexionPlan-and-SolveTool UseFunction CallingAgent LoopsTask Decomposition
Architecture
1
Agent Controller2
ReAct Loop3
Reflexion Monitor4
Tool Registry5
Function Caller6
Plan Executor7
Memory ManagerResults
ReAct agents solve 78% of multi-step tasks vs. 45% for direct prompting. Tool use reduces hallucination by 60% on factual queries. Reflexion improves success rate by 15%.
Key Learnings
- Agent loops (thought-action-observation) are surprisingly effective
- Tool use dramatically reduces hallucination for factual tasks
- Reflexion (self-correction) adds significant robustness
Challenges
- Preventing infinite loops in agent execution
- Designing robust tool error handling
- Balancing agent autonomy with safety constraints