Requesty
Route every LLM call through one OpenAI‑compatible API
- Use Cases
- LLM Developer Tool AI Cost Optimization
- Platforms
- Browser
Overview
Requesty is an AI gateway that routes LLM calls through a single OpenAI-compatible API, giving you access to 600+ models from OpenAI, Anthropic, Google, and others. It's designed for developers and teams who need reliable, fast, and governable access to multiple AI providers without having to manage separate integrations.
Instead of connecting directly to each provider's API, you send all your requests through Requesty. It handles routing logic, caches frequent responses, fails over when a provider is slow, and provides visibility into usage and performance—all while keeping your data in the EU if needed.
Details
Key Features
- Smart routing that automatically selects the best model and provider based on your criteria
- Caching system that stores responses to reduce redundant calls and lower costs
- Automatic failover when a provider becomes unavailable or slow
- Observability tools to monitor usage, latency, and model performance
Best For
- Developers building AI applications who want to avoid managing multiple provider integrations
- Teams needing enterprise governance controls over their AI model usage
- Organizations with EU data residency requirements
Top Use Cases
- Deploying AI applications that need access to multiple model providers without complex integration logic
- Reducing costs by caching repeated prompts and responses
- Improving application reliability through automatic failover between providers
- Monitoring and governing AI usage across an organization
Integrations
- OpenAI-compatible API interface that works with existing OpenAI SDK integrations
Pros
- Single API point for 600+ models across multiple providers
- automatic caching reduces costs and latency
- built-in failover improves reliability
- EU data residency support
Limitations
- Source material does not specify supported programming languages or frameworks
Read full editorial notes
What is Requesty?
Requesty acts as a unified gateway for calling large language models from multiple providers via a single, consistent API. You configure it once, then route all your LLM requests through it, letting it handle the complexity of provider selection and reliability behind the scenes.
What are the key features of Requesty?
Smart routing that automatically selects the best model and provider based on your criteria
Caching system that stores responses to reduce redundant calls and lower costs
Automatic failover when a provider becomes unavailable or slow
Observability tools to monitor usage, latency, and model performance
EU data residency compliance for teams with data sovereignty requirements
Who is Requesty best for?
Developers building AI applications who want to avoid managing multiple provider integrations
Teams needing enterprise governance controls over their AI model usage
Organizations with EU data residency requirements
What can you use Requesty for?
Deploying AI applications that need access to multiple model providers without complex integration logic
Reducing costs by caching repeated prompts and responses
Improving application reliability through automatic failover between providers
Monitoring and governing AI usage across an organization
How does Requesty compare to alternatives?
Unlike connecting directly to each provider's API, Requesty provides a single integration point that handles routing, caching, and failover automatically
Compared to using native platform features, Requesty offers multi-provider access through one OpenAI-compatible interface rather than vendor lock-in
What integrations and ecosystem support does Requesty offer?
OpenAI-compatible API interface that works with existing OpenAI SDK integrations
What are the pros and limitations of Requesty?
Pros: Single API point for 600+ models across multiple providers; automatic caching reduces costs and latency; built-in failover improves reliability; EU data residency support
Limitations: Source material does not specify supported programming languages or frameworks
Ideal for
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