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docs(gepa): update inspect section to show all 4 ReAct components with correct syntax
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docs/docs/api/optimizers/GEPA/GEPA_Advanced.md

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@@ -665,27 +665,25 @@ print(optimized_system.assistant.tools["research"].desc)
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print(optimized_system.assistant.tools["calculator"].desc)
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```
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### Inspecting Optimized Tool Descriptions
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### Inspecting Optimized ReAct Components
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After optimization, tool descriptions are automatically updated in your program. Access them directly through your module structure:
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After optimization, all ReAct components are automatically updated in your program. Access them directly:
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```python
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optimized_agent = gepa.compile(agent, trainset=train, valset=val)
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# Access tools directly - descriptions are already updated
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print(optimized_agent.tools["search"].desc)
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print(optimized_agent.tools["calculator"].desc)
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```
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# ReAct instruction (guides reasoning and tool selection)
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print("React instruction:", optimized_agent.react.signature.instructions)
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For multi-agent systems, access nested tools through your module hierarchy:
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# Extract instruction (guides answer extraction from trajectory)
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print("Extract instruction:", optimized_agent.extract.predict.signature.instructions)
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```python
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optimized_system = gepa.compile(ResearchAssistant(), trainset=train, valset=val)
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# Access tools at different levels
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print(optimized_system.researcher.tools["search"].desc) # Sub-agent tool
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print(optimized_system.assistant.tools["research"].desc) # Main agent tool
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print(optimized_system.assistant.tools["calculator"].desc)
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# Tool descriptions
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for tool_name, tool in optimized_agent.tools.items():
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if tool_name != 'finish': # Skip the built-in finish tool
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print(f"Tool '{tool_name}' description:", tool.desc)
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# Tool argument descriptions
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print(f" Argument descriptions:", tool.arg_desc)
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```
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### Compatibility with Custom Instruction Proposers

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