Use an existing client
Point an OpenAI-compatible client at the Helicone gateway endpoint.
Hosted gateway
Helicone AI Gateway
Route model requests through an OpenAI-compatible endpoint with provider fallbacks and request observability.
Sources reviewed . Documentation review; not a performance benchmark or runtime test.
What can you do with Helicone AI Gateway?
Configure provider routing
Use provider routing and fallback behavior to handle failed requests.
Inspect model requests
Review usage, cost and request performance in the observability dashboard.
Before you integrate
Check provider routing, credential handling and logging settings for the models you plan to use.
Test against your own workload
Compare successful responses, latency and the total bill, including retries and fallbacks. Verify streaming, tool calls and structured output on the routes you plan to use. These are evaluation steps, not claims that every feature is supported.
Check model-provider incidents →Pricing and model access
Model rates, platform fees, credits and eligibility can change. Check the publisher’s current terms before choosing a route. Our calculator estimates model token costs; it does not quote a negotiated Helicone AI Gateway bill.
Check Helicone AI Gateway documentation ↗Package download trends
Downloads include automated installs and repeat downloads. They do not measure unique users, hosted requests or market share.
@helicone/ai-gateway
npm · Gateway launcher
129 downloads in 28 days
2026-09-29 to 2026-10-26
+65.4% versus the previous 28 days
Source and comparison period
Previous: 78 downloads, 2026-09-01 to 2026-09-28.
Retrieved 2026-10-27. This is a saved snapshot, not a live count.
Sources and corrections
Suggest an update →Compare related routing products
Selected by product type and shared routing capabilities.
Vercel AI Gateway →
Route requests across providers and fallback models with visibility into routing attempts, latency, token usage and cost.
Cloudflare AI Gateway →
Manage model requests with logging, caching and rate limits, plus fallback providers for errors or configured timeouts.
Requesty →
Send model requests through an OpenAI-compatible endpoint with fallback, load-balancing and latency-based routing policies.