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  • A framework that dynamically routes requests across multiple LLMs and uses GraphQL to handle composite prompts efficiently.
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    What is Multi-LLM Dynamic Agent Router?
    The Multi-LLM Dynamic Agent Router is an open-architecture framework for building AI agent collaborations. It features a dynamic router that directs sub-requests to the optimal language model, and a GraphQL interface to define composite prompts, query results, and merge responses. This enables developers to break complex tasks into micro-prompts, route them to specialized LLMs, and recombine outputs programmatically, yielding higher relevance, efficiency, and maintainability.
    Multi-LLM Dynamic Agent Router Core Features
    • Dynamic routing across multiple LLM endpoints
    • GraphQL schema for composite prompt definition
    • Automated query splitting and response merging
    • Plugin support for custom sub-agents
    • Logging and monitoring of routing decisions
    Multi-LLM Dynamic Agent Router Pro & Cons

    The Cons

    No detailed information on pricing or user accessibility.
    Lacks clarity on the practical deployment and user interface aspects.
    No mention of open-source availability or community support.

    The Pros

    Enables collaboration among multiple large language models for improved task handling.
    Dynamic routing enhances efficiency in processing composite prompts.
    GraphQL integration allows flexible and modular management of AI agents.
    Multi-LLM Dynamic Agent Router Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://medium.com/@mr.sean.ryan/multi-llm-based-agent-collaboration-via-dynamic-router-and-graphql-handle-composite-prompts-with-83e16a22a1cb
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