Include Helicone LLM observability with Open WebUI

[juliettech13]

I'm excited to contribute this integration guide to help the OpenWebUI community implement production-grade observability for their LLM applications!

This tutorial provides step-by-step instructions for connecting Helicone's open-source monitoring platform with OpenWebUI deployments.

How does this tutorial support the Open WebUI community:

• Production readiness: As more OpenWebUI deployments move from experimentation to production, proper monitoring becomes critical. This integration enables developers to track costs, performance, and usage patterns.

• Debugging capabilities: The community frequently requests better tools for troubleshooting model responses and understanding why certain interactions fail or underperform.

• Cost optimization: LLM usage costs can add up quickly. Helicone's tracking helps identify opportunities to reduce token usage and optimize prompts.

• Accessibility: Being open-source aligned with OpenWebUI's philosophy, Helicone provides enterprise-grade observability for Open WebUI interfaces.

• Cross-provider support: Works with OpenAI, Ollama, and other providers compatible with OpenWebUI, giving users flexibility while maintaining consistent monitoring.

The tutorial includes Docker setup instructions, admin panel configuration steps, and verification guidance to ensure successful integration. I've also added screenshots demonstrating the dashboard experience.

This contribution helps bridge the gap between development and operations for LLM applications built with OpenWebUI.

Screenshot

[juliettech13]

Didn't submit the PR after running npm run prettier because it writes fixes to documents outside of the scope of this tutorial.

Let me know if you'd like me to run it anyway and include those changes in the PR.