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Requesty LLM Gateway: AI Gateway for LLM Management

Requesty helps software companies and development teams manage multiple AI models through a single endpoint. It is designed for teams needing to track AI spending and manage data residency.

Pricing

Requesty offers a free tier with $6 in credits. The Pro plan is pay-as-you-go with a 5% markup on model costs. Enterprise plans are available with custom pricing.

At a glance

Best for
Software Companies, Development Teams, Enterprise AI Teams, AI Operations Managers
Key use cases
Centralizing LLM Management, Managing AI Operational Costs, Managing Data Residency, Supporting App Reliability
Integrations
OpenAI SDK, Anthropic SDK, REST API
Visit Requesty LLM GatewayRequesty LLM Gateway software interface screenshot

How AI is used

Requesty is a unified AI gateway that sits between an application and various large language model (LLM) providers. It allows developers to access over 400 models via a single API endpoint, which helps reduce the complexity of managing multiple separate provider integrations.

The tool is designed for software development teams and AI-driven companies that need centralized control over their AI infrastructure. It provides a layer for routing requests, caching common responses, and monitoring costs across different providers in real time.

Beyond connectivity, it includes security controls such as PII detection and scrubbing to help prevent sensitive data from reaching the models, as well as role-based access for team management. It also supports data residency options in the EU (Frankfurt), US (Virginia), and APAC (Singapore).

Buyers should confirm if the 5% markup on model costs fits their budget and verify that the available regional data residency options align with their specific compliance requirements.

Key Features

  • Unified API Access

    Provides a single endpoint to access 400+ LLMs from over 20 providers.

  • Routing & Failover

    Supports switching traffic to a fallback model in under 20ms if a provider experiences downtime.

  • Semantic Caching

    Caches repeated prompts and system instructions to help reduce latency and model costs.

  • PII Detection & Scrubbing

    Designed to detect and mask personally identifiable information before it is sent to the model.

  • Cost & Performance Analytics

    Tracking of spending, latency, and token usage by model, team, or user in real time.

  • Governance Controls

    Supports role-based access control, spending limits, and audit logging for requests.

Use Cases

  • Centralizing LLM Management

    Using a single API endpoint to manage requests across multiple AI providers.

  • Managing AI Operational Costs

    Tracking spending by team or project and routing requests to equivalent models with lower costs.

  • Managing Data Residency

    Utilizing geo-based routing to keep data within specific regions such as Frankfurt for EU residency.

  • Supporting App Reliability

    Setting up automatic failover chains to help ensure AI features remain active if a provider experiences downtime.

Integrations

  • OpenAI SDK
  • Anthropic SDK
  • REST API

FAQ

How does Requesty integrate with existing code?

It is designed to be compatible with the OpenAI SDK; users can integrate it by changing the base URL and API key in their code.

What is the pricing for the Pro plan?

The Pro plan follows a pay-as-you-go model with a 5% markup on the underlying model costs.

Does Requesty support data residency?

Yes, it supports geo-based routing with data residency options in the EU (Frankfurt), US (Virginia), and APAC (Singapore).

Source category: Software Development

Source subcategory: API Management

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