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Comprehensive diálogo multi-turno Tools for Every Need

Get access to diálogo multi-turno solutions that address multiple requirements. One-stop resources for streamlined workflows.

diálogo multi-turno

  • Agent Starter Pack

    An open-source Google Cloud framework offering templates and samples to build conversational AI agents with memory, planning, and API integrations.
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    What is Agent Starter Pack?
    Agent Starter Pack is a developer toolkit that scaffolds intelligent, interactive agents on Google Cloud. It offers templates in Node.js and Python to manage conversation flows, maintain long-term memory, and perform tool and API invocations. Built on Vertex AI and Cloud Functions or Cloud Run, it supports multi-step planning, dynamic routing, observability, and logging. Developers can extend connectors to custom services, build domain-specific assistants, and deploy scalable agents in minutes.
    Agent Starter Pack Core Features
    • Conversation scaffolding with multi-turn dialogue
    • Long-term memory management
    • Multi-step reasoning and planning
    • API and tool invocation connectors
    • Integration with Vertex AI LLMs
    • Deployment on Cloud Functions or Cloud Run
    • Observability via Cloud Logging and Monitoring
    Agent Starter Pack Pro & Cons

    The Cons

    No explicit pricing information available on the page.
    Potential complexity in customizing templates for users without advanced knowledge.
    Documentation may require prior familiarity with Google Cloud and AI agent concepts.

    The Pros

    Pre-built templates enable rapid development of AI agents.
    Integration with Vertex AI allows for effective experimentation and evaluation.
    Production-ready infrastructure supports reliable deployment with monitoring and CI/CD.
    Highly customizable and extendable to suit various use cases.
    Open-source under Apache 2.0 License facilitating community contribution and transparency.

  • MCP-Ollama-Client

    A CLI client to interact with Ollama LLM models locally, enabling multi-turn chat, streaming outputs, and prompt management.
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    What is MCP-Ollama-Client?
    MCP-Ollama-Client provides a unified interface to communicate with Ollama’s language models running locally. It supports full-duplex multi-turn dialogues with automatic history tracking, live streaming of completion tokens, and dynamic prompt templates. Developers can choose between installed models, customize hyperparameters like temperature and max tokens, and monitor usage metrics directly in the terminal. The client exposes a simple REST-like API wrapper for integration into automation scripts or local applications. With built-in error reporting and configuration management, it streamlines the development and testing of LLM-powered workflows without relying on external APIs.

  • DemoGPT

    A minimal Python-based AI agent demo showcasing GPT conversational models with memory and tool integration.
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    What is DemoGPT?
    DemoGPT is an open-source Python project designed to demonstrate the core concepts of AI agents using OpenAI's GPT models. It implements a conversational interface with persistent memory saved in JSON files, enabling context-aware interactions across sessions. The framework supports dynamic tool execution, such as web search, calculations, and custom extensions, through a plugin-style architecture. By simply configuring your OpenAI API key and installing dependencies, users can run DemoGPT locally to prototype chatbots, explore multi-turn dialogue flows, and test agent-driven workflows. This comprehensive demo offers developers and researchers a practical foundation for building, customizing, and experimenting with GPT-powered agents in real-world scenarios.
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