Files
agents/tools/langchain-agent.md
Seth Hobson d2f3886ae1 Consolidate workflows and tools from commands repository
Repository Restructure:
- Move all 83 agent .md files to agents/ subdirectory
- Add 15 workflow orchestrators from commands repo to workflows/
- Add 42 development tools from commands repo to tools/
- Update README for unified repository structure

The commands repository functionality is now fully integrated, providing
complete workflow orchestration and development tooling alongside agents.

Directory Structure:
- agents/    - 83 specialized AI agents
- workflows/ - 15 multi-agent orchestration commands
- tools/     - 42 focused development utilities

No breaking changes to agent functionality - all agents remain accessible
with same names and behavior. Adds workflow and tool commands for enhanced
multi-agent coordination capabilities.
2025-10-08 08:28:33 -04:00

61 lines
1.4 KiB
Markdown

---
model: claude-sonnet-4-0
---
# LangChain/LangGraph Agent Scaffold
Create a production-ready LangChain/LangGraph agent for: $ARGUMENTS
Implement a complete agent system including:
1. **Agent Architecture**:
- LangGraph state machine
- Tool selection logic
- Memory management
- Context window optimization
- Multi-agent coordination
2. **Tool Implementation**:
- Custom tool creation
- Tool validation
- Error handling in tools
- Tool composition
- Async tool execution
3. **Memory Systems**:
- Short-term memory
- Long-term storage (vector DB)
- Conversation summarization
- Entity tracking
- Memory retrieval strategies
4. **Prompt Engineering**:
- System prompts
- Few-shot examples
- Chain-of-thought reasoning
- Output formatting
- Prompt templates
5. **RAG Integration**:
- Document loading pipeline
- Chunking strategies
- Embedding generation
- Vector store setup
- Retrieval optimization
6. **Production Features**:
- Streaming responses
- Token counting
- Cost tracking
- Rate limiting
- Fallback strategies
7. **Observability**:
- LangSmith integration
- Custom callbacks
- Performance metrics
- Decision tracking
- Debug mode
Include error handling, testing strategies, and deployment considerations. Use the latest LangChain/LangGraph best practices.