Running Helicone as a service, AI Infrastructure
Helicone Agency Implementation, Multi-Client LLM Infrastructure
Learn how to deploy Helicone as your agency's LLM gateway to manage AI features across multiple client projects. This course covers request routing across providers, cost tracking per client, prompt experimentation workflows, and debugging strategies that reduce token spend and improve delivery timelines.
Open the decision record for HeliconeWhat does running Helicone for clients commit you to?
Published figures for this service. Blank fields are not published.
- Monthly tool cost
- $20/mo (Starter plan) or $149/mo (Growth plan) for active clients
- Time to first value
- Medium setup complexity; initial client within days
- Payback
- Break-even in month 1 with first client at $447/mo
- Guided implementation
- 8 hours
Is Helicone worth running as a client service?
Helicone is a strong foundation for an AI observability service, with clear value in cost savings and debugging. Agency margins are healthy at 3-5x tool cost.
An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.
Before you start
What has to be in place before the first client engagement.
Tools and subscriptions
- Helicone account (Starter or Growth plan)
- API keys for LLM providers (OpenAI, Anthropic, etc.)
- Webhook endpoint for receiving alerts
People and inputs
- Developer documentation on Helicone SDK integration
- Sample code for routing and caching
- Postman or similar for testing API calls
Included with the course
7 working documents for delivering this service.
- Multi-Client Rate Limiting Setup Checklistchecklist
- LLM Cost Attribution by Client Worksheetworksheet
- Helicone Prompt Template Management SOPsop
- Provider Fallback Routing Configuration Guideguide
- LLM Experiment Tracking and Scoring Templatetemplate
- Session Tracing Troubleshooting Checklistchecklist
- Monthly LLM Budget Review Dashboard Templatetemplate
Listed by name. These documents are not yet published as individual downloads.