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Comprehensive procesamiento multicanal Tools for Every Need

Get access to procesamiento multicanal solutions that address multiple requirements. One-stop resources for streamlined workflows.

procesamiento multicanal

  • MCP Agent Proxy

    An HTTP proxy for AI agent API calls enabling streaming, caching, logging, and customizable request parameters.
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    What is MCP Agent Proxy?
    MCP Agent Proxy acts as a middleware service between your applications and the OpenAI API. It transparently forwards ChatCompletion and Embedding calls, handles streaming responses to clients, caches results to improve performance and reduce costs, logs request and response metadata for debugging, and allows on-the-fly customization of API parameters. Developers can integrate it into existing agent frameworks to simplify multi-channel processing and maintain a single managed endpoint for all AI interactions.
    MCP Agent Proxy Core Features
    • HTTP proxy for ChatCompletion and Embedding endpoints
    • Real-time streaming of API responses
    • Response caching with configurable TTL
    • Request and response logging
    • Dynamic override of API parameters
    • Support for high concurrency

  • Multiple MCP Server-based AI Agent BOT

    A Python framework for building scalable multi-channel conversational AI agents with context management.
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    What is Multiple MCP Server-based AI Agent BOT?
    This framework provides a server-based architecture supporting Multiple-MCP (Multi-Channel Processing) servers to handle concurrent conversations, maintain context across sessions, and integrate external services via plugins. Developers can configure connectors for messaging platforms, define custom function calls, and scale instances using Docker or native hosts. It includes logging, error handling, and a modular pipeline to extend capabilities without altering core code.
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