Model Orchestrator

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Model Orchestrator provides a modular Go implementation of a Model Context Protocol (MCP) environment, designed to seamlessly integrate and manage diverse AI agents and specialized tool servers. It unifies these components under a single OpenAI-compatible API, making them discoverable and usable by clients like AnythingLLM. Through mDNS-based dynamic service discovery and automatic tool registration, it enables complex multi-agent workflows and allows Large Language Models to natively utilize a rich ecosystem of custom tools and helper agents without requiring manual configuration.

Características Principales

• Utilizes mDNS for dynamic service discovery of agent wrappers and tool servers.
• Presents a single OpenAI-compatible API to clients like AnythingLLM.
• Dynamically registers discovered tools and child agents as OpenAI function definitions.
• Provides consistent, configurable logging and graceful shutdown across all binaries.
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• Supports a hierarchical agent structure, allowing child agents to assist the main orchestrator.

Casos de Uso

• Integrate custom AI agents and specialized tool servers with OpenAI API clients.
• Build complex multi-agent systems where agents can delegate tasks and utilize shared tools.
• Dynamically expose custom HTTP-based tools to an LLM for enhanced capabilities without manual configuration.