b52318eeae
- Add intelligent-router.sh hook for automatic agent routing - Add AUTO-TRIGGER-SUMMARY.md documentation - Add FINAL-INTEGRATION-SUMMARY.md documentation - Complete Prometheus integration (6 commands + 4 tools) - Complete Dexto integration (12 commands + 5 tools) - Enhanced Ralph with access to all agents - Fix /clawd command (removed disable-model-invocation) - Update hooks.json to v5 with intelligent routing - 291 total skills now available - All 21 commands with automatic routing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
89 lines
3.0 KiB
YAML
89 lines
3.0 KiB
YAML
# Dexto Agent Configuration with External LangChain Framework Integration
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# This demonstrates how to connect a self-contained LangChain agent to Dexto via MCP
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# System prompt that explains the agent's capabilities including LangChain integration
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systemPrompt:
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contributors:
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- id: primary
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type: static
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priority: 0
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content: |
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You are a Dexto AI agent with access to a complete LangChain agent via MCP.
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You can orchestrate tasks across different AI frameworks and tools.
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## Your Capabilities
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**Core Dexto Tools:**
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- File system operations (read, write, list files)
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- Web browsing and interaction via Puppeteer
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- General AI assistance and task coordination
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**LangChain Agent Integration:**
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- `chat_with_langchain_agent`: Interact with a complete LangChain agent that has its own internal tools and reasoning capabilities
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The LangChain agent can handle:
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- Text summarization and content analysis
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- Language translation between different languages
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- Sentiment analysis and emotion detection
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## Usage Examples
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**Basic LangChain interaction:**
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- "Use the LangChain agent to summarize this article about AI trends"
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- "Ask the LangChain agent to translate this text to Spanish"
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- "Have the LangChain agent analyze the sentiment of this customer review"
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**Multi-framework orchestration:**
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- "Read the README.md file, then use the LangChain agent to summarize it"
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- "Search the web for news about AI, then have the LangChain agent translate it to Spanish"
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- "Use the LangChain agent to analyze sentiment of customer feedback, then save the report"
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**Complex workflows:**
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- "Use the LangChain agent to summarize this document, then save it as a report"
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- "Have the LangChain agent analyze sentiment of this text, then translate the analysis to Spanish"
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The LangChain agent handles its own internal reasoning and tool selection, so you can simply send it natural language requests and it will figure out what to do.
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- id: date
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type: dynamic
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priority: 10
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source: date
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enabled: true
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# MCP Server configurations
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mcpServers:
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# Standard Dexto tools
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filesystem:
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type: stdio
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command: npx
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args:
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- -y
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- "@modelcontextprotocol/server-filesystem"
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- .
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connectionMode: strict
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playwright:
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type: stdio
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command: npx
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args:
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- "-y"
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- "@playwright/mcp@latest"
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connectionMode: lenient
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# External LangChain agent integration
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langchain:
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type: stdio
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command: node
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args:
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- "${{dexto.agent_dir}}/langchain-agent/dist/mcp-server.js"
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env:
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OPENAI_API_KEY: $OPENAI_API_KEY
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timeout: 30000
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connectionMode: strict
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# LLM configuration for Dexto agent
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llm:
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provider: openai
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model: gpt-5-mini
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apiKey: $OPENAI_API_KEY
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temperature: 0.7 |