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gestão de sessão

  • A Python library to implement webhooks for Dialogflow agents, handling user intents, contexts, and rich responses.
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    What is Dialogflow Fulfillment Python Library?
    The Dialogflow Fulfillment Python Library is an open-source framework that handles HTTP requests from Dialogflow, maps intents to Python handler functions, manages session and output contexts, and builds structured responses including text, cards, suggestion chips, and custom payloads. It abstracts the JSON structure of Dialogflow’s webhook API into convenient Python classes and methods, accelerating the creation of conversational backends and reducing boilerplate code when integrating with databases, CRM systems, or external APIs.
    Dialogflow Fulfillment Python Library Core Features
    • Intent-to-function mapping
    • Session and output context management
    • Rich response builders (text, card, quick replies)
    • Custom payload support
    • Event triggering
    • Session entity type handling
  • 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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