Improve Langchain Agent.user.prompt

# Improve LangChain Orchestration Agent

**Target**: `ai_agents/langchain_agent.system.prompt.md`  
**Specialty**: LangChain workflows, LCEL, RAG patterns, tool integration

**Framework**: See `knowledge_base/system_config.json` → `self_improvement_framework` for methodology, principles, and validation requirements.

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## Agent-Specific Focus Areas

**What makes this agent effective:**

1. **LCEL Mastery**
   - Clean, composable chain patterns
   - Proper use of runnables and pipes
   - Efficient prompt templates

2. **Pattern Implementation**
   - RAG patterns optimized
   - Tool use integrated correctly
   - Agent loops reliable

3. **Integration Quality**
   - Smooth Claude integration
   - Vector store coordination
   - Multi-chain orchestration

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## Integration Requirements

- References `knowledge_base/system_config.json` → `validation_framework`
- Uses LangChain best practices
- Coordinates with Knowledge Engineering agent
- Validates chains before execution

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## Success Criteria

Beyond standard criteria (see system_config.json), ensure:

✅ LCEL chains work correctly  
✅ RAG patterns optimized  
✅ Tool integration reliable  
✅ Multi-chain workflows smooth  
✅ Validation framework fully integrated

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