Helicone AI
Helicone AI is an AI-powered Development tool — AI observability platform for LLM monitoring. Best for: Code Generation & API Development. Pricing: Freemium (GateOnAI Score: 48/100).
AI observability platform for LLM monitoring
Provides real‑time observability for large language model (LLM) calls, capturing request metadata, latency, token usage, and cost. The platform intercepts API traffic via a proxy endpoint, allowing developers to route OpenAI, Azure, or custom model requests without code changes. Each call is stored with timestamps, model name, and prompt‑completion pairs for later analysis. The proxy can be deployed in Kubernetes or as a serverless function, ensuring low overhead. It automatically redacts sensitive fields based on configurable patterns, helping teams meet privacy requirements. Logs are retained for 30 days by default, with options to extend retention. Key features include a searchable dashboard that visualizes per‑endpoint latency trends, cost breakdowns, and error rates. Prompt versioning lets teams compare responses across iterations, while built‑in alerting notifies Slack or email when thresholds are exceeded. Export options generate CSV or JSON logs for compliance audits, and an API provides programmatic access to metrics for custom reporting. Users can tag requests with custom metadata such as project ID or user segment, enabling filtered views in the UI. The platform supports role‑based access control, so administrators can restrict who sees cost data. A built‑in anomaly detector flags sudden spikes in token consumption, aiding rapid debugging. Designed for ML engineers, backend developers, and product managers who need visibility into LLM spend and performance, Helicone integrates with CI pipelines to enforce cost caps during testing. A free tier offers 10,000 logged requests per month, sufficient for small projects; paid plans raise limits and add team collaboration, SSO, and dedicated support. Helicone provides a Terraform provider, letting infrastructure‑as‑code teams provision monitoring resources with model deployments. Integration with Grafana or Datadog works via webhook exporters. Documentation includes step‑by‑step guides for OpenAI, Anthropic, and Cohere APIs.
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Works Well With
Tools that Helicone AI genuinely connects with, based on real input/output compatibility data (not just shared category):
- Falcon AI - TII open-source AI language model
- Swimm - AI code documentation that stays up to date
- Sentry - AI application monitoring and error tracking
- DronaHQ AI - AI low-code platform for internal apps
- LlamaIndex - Framework for connecting LLMs with external data sources.
- AppGyver - Professional no-code app platform