Reuse compatible clients
Configure an OpenAI-compatible client with a Requesty key and base URL.
Hosted gateway
Requesty
Send model requests through an OpenAI-compatible endpoint with fallback, load-balancing and latency-based routing policies.
Sources reviewed . Documentation review; not a performance benchmark or runtime test.
What can you do with Requesty?
Choose a routing policy
Review fallback, load-balancing and latency-based policies for your workload.
Monitor usage
Inspect logs, usage analytics and spending controls in the platform.
Before you integrate
Use a Requesty key and configure the gateway base URL. Confirm current platform fees and data-handling terms directly with the publisher.
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 Requesty bill.
Check Requesty documentation ↗Package download coverage
The reviewed quickstart uses shared OpenAI and Anthropic clients. Their downloads cannot be attributed to Requesty. A Requesty-specific package has not been established in this review.
Reviewed 2026-10-27. Integration documentation ↗
Sources and corrections
Suggest an update →Compare related routing products
Selected by product type and shared routing capabilities.
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Helicone AI Gateway →
Route model requests through an OpenAI-compatible endpoint with provider fallbacks and request observability.