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Letzte Aktualisierung 13. Jan. 2026

Embed conversational agents

You can embed a Conversational Agent directly inside a UiPath App or any third-party application using an IFrame. This allows users to easily interact with agents without leaving the application.

Embedding Conversational Agents in UiPath Apps Prerequisites

  1. Create and publish a conversational agent.
  2. Open your app project in Studio and add an IFrame component to your page.
  3. Set the IFrame source URL using the following format:
    "https://<cloud_env>.uipath.com/<organization>/<tenant>/autopilotforeveryone_/conversational-agents/?agentId=<agent_id>&mode=embedded&title=<title>&welcomeTitle=<welcome_title>&welcomeDescription=<welcome_description>&suggestions=<suggestions>""https://<cloud_env>.uipath.com/<organization>/<tenant>/autopilotforeveryone_/conversational-agents/?agentId=<agent_id>&mode=embedded&title=<title>&welcomeTitle=<welcome_title>&welcomeDescription=<welcome_description>&suggestions=<suggestions>"
    Important: The Organization and the Tenant may be the agent's ID or the agent's Name

    Erforderliche Parameter

    • agentId: Release ID of the published of the published conversational agent.

    Optionale Parameter

    • mode - Can be embedded or fullscreen (default value is fullscreen).
    • title - The title of the chat component. Defaults to the name of the Agent.
    • welcomeTitle - First run experience title displayed in the middle of screen. Defaults to an empty string ''.
    • welcomeDescription - First run experience description. Defaults to an empty string ''.
    • suggestions - First run experience suggestions. Defaults to an empty array []. Example: ["Hi, what can you do", "Hello, how are you"].
      Note: To test on browser directly, wrap in one set of double quotes. For Apps embedding, wrap in two sets of double quotes.
    • showHistory - Show history panel. Defaults to true.
    • jobStartOverrides - Overrides for the conversational-agent jobs that run when serving the conversation. When not passed in or when runAsMe is undefined, CAS will run the job with default job-start settings RunAsMe: false. Example: jobStartOverrides={"runAsMe":true}
      Note: To test on browser directly, wrap in one set of double quotes. For Apps embedding, wrap in two sets of double quotes.

      Example URL for embedding conversational agents in Apps

      "https://<cloud_env>.uipath.com/<organization>/<tenant>/autopilotforeveryone_/conversational-agents/?agentId=<agent_id>&mode=embedded&title=Conversational Agents&welcomeTitle=Welcome to conversational agents&welcomeDescription=Talk with your agent to get started&suggestions=[""Hi, what can you do"", ""Hello, how are you""]""https://<cloud_env>.uipath.com/<organization>/<tenant>/autopilotforeveryone_/conversational-agents/?agentId=<agent_id>&mode=embedded&title=Conversational Agents&welcomeTitle=Welcome to conversational agents&welcomeDescription=Talk with your agent to get started&suggestions=[""Hi, what can you do"", ""Hello, how are you""]"
  4. Publish your app. Your agent is now embedded and ready to use.

Embed Conversational Agents in 3rd party services

  1. Create and publish a conversational agent.
  2. Add an <iframe> element to your application where you want the conversational agent to appear.
  3. Set the IFrame source attribute using the following format:
    "https://<cloud_env>.uipath.com/<organization>/<tenant>/autopilotforeveryone_/conversational-agents/?agentId=<agent_id>&mode=embedded&title=<title>&welcomeTitle=<welcome_title>&welcomeDescription=<welcome_description>&suggestions=<suggestions>""https://<cloud_env>.uipath.com/<organization>/<tenant>/autopilotforeveryone_/conversational-agents/?agentId=<agent_id>&mode=embedded&title=<title>&welcomeTitle=<welcome_title>&welcomeDescription=<welcome_description>&suggestions=<suggestions>"

Häufig gestellte Fragen

How do you retrieve the agentId?
  • Navigate to Agents > Conversational Agents, open your agent, and copy the agentId from the URL.
Is there a way to make Conversational Agent public?
  • Not yet. Public access requires additional work related to authentication, security, and licensing.
Is it possible to inject some context to the client?
  • Support for injecting inputs into Conversational Agents is in development.

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