Helicone
Free tierAI Gateway & LLM Observability for building reliable AI applications
Key strengths
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Helicone — Technical Use Cases
1. LLM Observability in Production Instrument your LLM calls with a single base URL change and immediately gain request-level logging, latency metrics, cost attribution, and error tracking across all supported providers (OpenAI, Anthropic, Azure, etc.).
2. AI Gateway for Resilience Use Helicone as a proxy gateway to enforce rate limits, enable response caching to cut redundant API calls, and configure automatic fallbacks to secondary providers — improving uptime and reducing cost without application-layer changes.
3. Multi-Provider Routing Teams using multiple LLM providers (e.g., OpenAI + Anthropic + Azure) can route and monitor all traffic through a single Helicone endpoint, with unified logging and cost visibility across providers.
4. Prompt Versioning & Experimentation Use Helicone's prompt management system to version prompts, build datasets from production request logs, and run controlled experiments — enabling data-driven prompt optimization.
5. Self-Hosted / On-Prem Deployments Organizations with strict data residency or compliance requirements can self-host the full Helicone stack (Apache 2.0). Enterprise plans add on-premises support, SAML SSO, SOC-2, and HIPAA compliance.
6. Programmatic Monitoring & Alerting Leverage the Helicone API to build custom monitoring pipelines, pull usage metrics into internal dashboards, or trigger alerts via external systems — available from the Pro plan ($79/mo) upward.