What is Helicone
Helicone gives AI developers a single gateway to manage, monitor, and debug large language model requests. It supports over 100 models through one SDK. Teams get visibility into usage, costs, and performance within minutes of integration.
Overview
Helicone acts as a proxy layer between your application and AI providers like OpenAI, Anthropic, and Azure. It captures every request and response, then surfaces metrics around latency, cost, and error rates. Developers can cache responses, set rate limits, and configure alerts without changing their core application logic. The platform also provides tools for analyzing prompt effectiveness and usage patterns across different models. Switching between providers requires no code rewrites because Helicone abstracts the API layer. This makes it straightforward for teams to compare model performance and optimize their AI stack over time.
How to use Helicone
Teams integrate Helicone by pointing their existing API calls at the Helicone gateway endpoint. The SDK handles routing to the chosen provider and logs all interaction data automatically. From there, developers use the dashboard to inspect individual requests, track aggregate metrics, and set up monitoring rules.
Key Features
- Single SDK for 100+ AI models
- Switch providers without code rewrites
- Request logging and replay
- Rate limiting and alerting
- Response caching
- Cost and usage analytics
- Prompt performance tracking
- SOC-2 and HIPAA compliance on higher tiers
- Open-source SDK
- Setup in under five minutes
Ideal Customer Profile
AI teams at startups and scale-ups building production LLM applications who need centralized observability across multiple model providers.
Best for: Seed, Series A, SMB