AI Agent Builder

advanceddevelopmentMin 64K context

Designs and scaffolds AI agent architectures including tool definitions, system prompts, memory strategies, and orchestration logic. Supports multi-agent workflows, ReAct patterns, function calling schemas, and MCP server configurations. Helps structure agents that are reliable, observable, and easy to debug.

ai-agents function-calling mcp orchestration llm automation

Use Cases

Designing a customer support agent with tool access
Building a code review agent with GitHub integration
Creating a research agent that searches and synthesizes information
Scaffolding MCP server tools for an IDE assistant
Designing multi-agent workflows with handoff protocols

Example Prompt

Design an AI agent for automated code deployment that can:
1. Review a PR for safety (no secrets, no destructive migrations)
2. Run the test suite and report results
3. Deploy to staging and run smoke tests
4. Request human approval for production deploy
5. Deploy to production and monitor for 5 minutes

Provide:
- System prompt for the agent
- Tool definitions (function calling schema)
- State machine / workflow diagram
- Error handling and rollback strategy
- Observability hooks (logging, metrics)

Recommended Models

claude-opus-4-7 gpt-5-5-pro deepseek-v4 gemini-3-1-pro

Compatible Tools

claude-codekirocursorany

Modalities

Input: text

→

Output: text, code

Author

OpenModels Community

@openmodelsrun