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Agents user guide

Last updated Feb 19, 2026

Deploying conversational agents

After designing and testing your conversational agent, you need to publish and deploy it to make it available to users. Publishing and deployment are two separate steps:

  • Publishing: Packages your agent as a solution and uploads it to Orchestrator.
  • Deployment: Makes the published solution available for execution with the required runtime resources.

Orchestrator folder requirements

Before publishing, ensure your target Orchestrator folder has the required resources configured.

ResourcePurposeRequired
Unattended robot accountProvides the execution identity for the conversational agentYes
Serverless robotExecutes specific tool calls (cross-platform RPA automations)If using these tools
Virtual machineExecutes Windows-based RPA automationsIf using Windows automations
Shared connectionsProvides access to Integration Service connectorsIf tools use connectors
Important:

If your agent fails to start in Instance Management, verify that:

  • An unattended robot account is assigned to the solution folder.
  • You are in the correct tenant where the agent solution resides.

Publishing

Publishing packages your conversational agent as a solution and uploads it to Orchestrator.

Publishing steps

  1. In Studio Web, open your conversational agent.
  2. Select Publish in the top toolbar.
  3. Select the target Orchestrator feed (we recommend Orchestrator tenant feed).
  4. (Optional) Enter a Change log note describing your change.
  5. Select Publish.

Publish dialog

For detailed publishing options, see Publishing a project.

Deployment

After publishing, you need to deploy the solution to make it available for execution. Deployment associates the published solution with the runtime resources in your Orchestrator folder.

Deployment steps

  1. Navigate to your Orchestrator.
  2. Locate the published solution.
  3. Deploy (or upgrade) the solution, ensuring it has access to the required robot accounts and connections.

Once deployed, the agent appears in Instance Management and becomes available through configured channels.

For detailed deployment options, refer to Publishing a project.

Connection management

The agent needs access to the same connections used at design time. To ensure connections work at runtime, we recommend the following setup:

  1. Create Integration Service connections in a shared Orchestrator folder.
  2. Use these shared connections during design and debugging.
  3. Publish the solution as a subfolder within the same shared folder.

This setup ensures the solution automatically inherits the parent folder's connections.

Note:

Personal connections are not currently supported. Only shared connections are available for conversational agents.

Deployment channels

After publishing, users can access your conversational agent through multiple channels. Each channel offers different capabilities and is suited for different use cases.

Channel overview

ChannelBest forUser authentication
Instance ManagementAdmin testing, internal usersUiPath account
Autopilot for EveryoneInternal productivity hubUiPath account
Microsoft TeamsTeam collaborationMicrosoft account and UiPath account
SlackTeam collaborationSlack account and UiPath account
iFrame embeddingThird-party apps and UiPath AppsUiPath account or anonymous

Feature availability by channel

Not all chat features are available in every channel. Instance Management provides the complete feature set; other channels may have limitations.

FeatureInstance ManagementAutopilot for EveryoneMicrosoft TeamsSlackiFrame
Start new chat
Chat history
Delete chat session
Settings
Starting prompts
File uploads
Citations
HTML preview
Copy response
Feedback (thumbs)
Debug dump (Ctrl+Alt+D)

Choosing a channel

Consider these factors when selecting deployment channels:

Internal users with UiPath access

  • Use Instance Management for admin testing and power users.
  • Use Autopilot for Everyone as a central hub for all agents.

Team collaboration

  • Use Teams or Slack to bring the agent where teams already work.

Custom applications

  • Use iFrame embedding for third-party apps or UiPath Apps.

External or anonymous users

  • Use iFrame embedding with anonymous auth server.

Chat session behavior

Conversational agents maintain persistent sessions:

  • Each conversation runs as a dedicated Orchestrator process (active for up to 8 hours of inactivity).
  • Sessions remain active to enable immediate responses.
  • Idle sessions consume minimal resources.

Chat session behavior

Conversational agents maintain persistent sessions:

  • Each conversation runs as a dedicated Orchestrator process (active for up to 8 hours of inactivity).
  • Sessions remain active to enable immediate responses.
  • Idle sessions consume minimal resources.

Using UiPath tools in external platforms

You can expose UiPath capabilities (automations, workflows, document processing) to external chat platforms like ChatGPT and Microsoft Copilot Studio using MCP (Model Context Protocol) tools. This approach uses direct tool calls rather than conversational agents.

For details on MCP integration, refer to MCP Servers.

Next steps

Select a channel to learn about setup and configuration:

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