Comprehensive agente de chat AI Tools for Every Need

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agente de chat AI

  • A sample Salesforce client illustrating how to integrate and extend AgentForce to build customized AI-driven conversational agents.
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    What is AgentForce Custom Client Sample?
    The AgentForce Custom Client Sample provides a codebase leveraging JavaScript/TypeScript and Salesforce APIs to authenticate against a Salesforce org, manage AgentForce chat sessions, send and receive messages, and customize user interface components. It showcases event subscription, custom business logic integration, and styling via Lightning Web Components. Developers can use this template to scaffold AI conversational agents, tailor message flows, integrate external systems, and extend the framework to meet unique organizational workflows and branding requirements.
    AgentForce Custom Client Sample Core Features
    • Salesforce org authentication
    • AgentForce chat session management
    • Message send and receive handling
    • UI customization with Lightning Web Components
    • Custom business logic integration
    • Event subscription and handling
  • ChatLLM Teams offers advanced AI-driven chat solutions for enhanced team collaboration.
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    What is ChatLLM Teams?
    ChatLLM Teams is an AI-driven chat agent specifically crafted for team collaboration, aiming to improve productivity and communication. It uses natural language processing to understand team queries and provides instant responses or actions, such as scheduling meetings and delivering project updates. The agent integrates seamlessly with existing tools to automate routine tasks, thus allowing teams to focus on more strategic objectives. Additionally, it offers analytics on team interactions to identify areas for improvement.
  • DeepSeek-R1 is an advanced AI chat agent for intelligent responses.
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    What is DeepSeek-R1 AI Chat?
    DeepSeek-R1 is an AI-powered chat agent that leverages advanced natural language processing to facilitate interactive and informative conversations. It is capable of answering questions, providing recommendations, assisting with problem-solving, and engaging users in meaningful dialogues. With a focus on user experience, it integrates seamlessly into various platforms, ensuring responsive and personalized interactions for improved communication and information retrieval.
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