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OpenWebUI Integration#

The LIT Platform offers integration with OpenWebUI, a powerful browser-based interface for interacting with large language models. This integration extends the capabilities of the LIT Platform by allowing seamless transitions between LIT workflows and OpenWebUI's specialized features.

Benefits of OpenWebUI Integration#

  • Enhanced Chat Experience: Access OpenWebUI's rich chat interface
  • Playground Features: Use advanced prompt construction tools
  • Model Comparison: Compare outputs from different models side-by-side
  • Shared Model Backend: Use the same models in both interfaces

Setup Instructions#

Prerequisites#

  • OpenWebUI installed on your system or a remote server
  • Network connectivity between LIT Platform and OpenWebUI

Configuration Steps#

  1. Navigate to Settings > Integrations > OpenWebUI
  2. Enter the OpenWebUI server URL
  3. Configure authentication settings (if applicable)
  4. Click "Test Connection" to verify connectivity
  5. Select "Enable OpenWebUI Integration"
  6. Save settings

Using OpenWebUI from LIT#

The integration provides several ways to interact with OpenWebUI:

Direct Navigation#

  • Click the OpenWebUI icon in the navigation bar to open the interface
  • Right-click on workflow outputs to "Open in OpenWebUI"
  • Use the "Send to OpenWebUI" option in chat contexts

Shared Context#

LLM Workflow Canvas

When transitioning between LIT and OpenWebUI:

  • Current model selection is maintained
  • Chat history can be transferred
  • Generated content remains accessible

OpenWebUI Features in LIT#

The integration brings several OpenWebUI features directly into the LIT interface:

  • Chat Templates: Access OpenWebUI chat templates in LIT's chat interface
  • Model Parameters: Use OpenWebUI's parameter controls for fine-tuned outputs
  • Visualization Tools: Leverage OpenWebUI's visualization capabilities for complex outputs

Use Cases#

The OpenWebUI integration is particularly useful for:

  1. Advanced Prompt Development: Use OpenWebUI's specialized tools to refine prompts before integrating them into LIT workflows
  2. Output Analysis: Analyze model outputs with OpenWebUI's visualization tools
  3. Collaborative Work: Share context between team members using both interfaces
  4. Documentation Generation: Use OpenWebUI's formatting features for creating documentation

Troubleshooting#

If you encounter issues with the OpenWebUI integration:

  1. Verify OpenWebUI is running
  2. Check network connectivity between LIT and OpenWebUI
  3. Ensure both systems are using compatible model backends
  4. Check authentication settings if applicable

For detailed information on OpenWebUI itself, refer to the official OpenWebUI documentation.