Comprehensive Diálogos en múltiples turnos Tools for Every Need

Get access to Diálogos en múltiples turnos solutions that address multiple requirements. One-stop resources for streamlined workflows.

Diálogos en múltiples turnos

  • Just Chat is an open-source web chat UI for LLMs, offering plugin integration, conversational memory, file uploads, and customizable prompts.
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    What is Just Chat?
    Just Chat delivers a complete self-hosted chat interface for interacting with large language models. By inputting API keys for providers like OpenAI, Anthropic, or Hugging Face, users can start multi-turn conversations with memory support. The platform enables attachments, letting users upload documents for context-aware Q&A. Plugin integration allows external tool calls such as web search, calculations, or database queries. Developers can design custom prompt templates, control system messages, and switch between models seamlessly. The UI is built using React and Node.js, offering a responsive web experience on desktop and mobile. With its modular plugin system, users can add or remove features easily, tailoring Just Chat to customer support bots, research assistants, content generators, or educational tutors.
    Just Chat Core Features
    • Multi-model LLM support via API keys
    • Conversational memory and session history
    • File upload and context-aware Q&A
    • Plugin integration for external tools
    • Customizable prompt templates and system messages
    • Responsive React-based UI
  • A local development studio for building, testing, and debugging AI agents using the OpenAI Autogen framework.
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    What is OpenAI Autogen Dev Studio?
    OpenAI Autogen Dev Studio is a desktop web application designed to streamline the end-to-end development of AI agents built on the OpenAI Autogen framework. It offers a visual, conversation-centric interface where developers can define system prompts, configure memory strategies, integrate external tools, and adjust model parameters. Users can simulate multi-turn dialogues in real time, inspect generated responses, trace execution paths, and debug agent logic within an interactive console. The platform also includes code scaffolding features to export fully-functional agent modules, enabling seamless integration into production environments. By centralizing workflow automation, debugging, and code generation, it accelerates prototyping and reduces development complexity for conversational AI projects.
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