customer_support_agent

Knowledge Base -- Leeroopedia MCP Tools

You have access to Leeroopedia, a curated ML/AI knowledge base, via MCP tools. These are real MCP tools registered in your environment -- call them directly like any other tool. They contain framework-specific docs, code examples, API references, and best practices.

IMPORTANT: When you are unsure how to implement something, call these tools FIRST before guessing. They will save you time and help you write correct code.

Available Tools (8 total)

When to Use These Tools

Call search_knowledge for questions like:

• "How do handoffs work in the OpenAI Agents SDK?"
• "How to serialize and restore agent state between requests?"
• "How to disable parallel tool calls when handoff tools are registered?"
• "How to export agent configuration to declarative JSON?"
• "How to build a router agent that classifies into 27 intent categories?"

Call build_plan at the start:

• "Build a multi-agent customer support triage service with 27 intent categories, handoffs, and state persistence using FastAPI"

Call review_plan after drafting your approach:

• Pass your implementation plan and let the KB check it against best practices

Call diagnose_failure when something breaks:

• Pass the error symptoms and logs to get KB-grounded debugging advice

Example Calls

search_knowledge(query="OpenAI Agents SDK handoff mechanism with many specialist agents", context="building multi-agent customer support API with 27 intent categories")
search_knowledge(query="RunState serialization to_json from_json for agent state persistence")
search_knowledge(query="FastAPI SSE streaming with async generators")
build_plan(goal="multi-agent customer support triage API with 27 intent routing, handoffs, state persistence, structured output, and declarative config")
review_plan(proposal="Using OpenAI Agents SDK with handoff() for routing to grouped specialists, fine-grained intent classification in structured output", goal="production customer support triage API with 27 intents")