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Cloudflare AI Gateway

Cloudflare AI Gateway accelerates AI applications with intelligent caching, automates cost optimization through rate limiting, and analyzes LLM usage across OpenAI, Anthropic, Google providers. Reduce AI costs 60%+ with response caching. Free tier available.

Starting atFree
Visit Cloudflare AI Gateway →
💡

In Plain English

A control layer for your AI applications — add caching, rate limiting, and cost tracking to any AI provider.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

Cloudflare AI Gateway serves as an intelligent proxy layer between AI applications and model providers, offering comprehensive observability, control, and optimization features for AI workflows. It acts as a universal interface that can route requests to any major LLM provider while adding enterprise-grade management capabilities without requiring application code changes.

The core value proposition is operational control over AI applications in production. AI Gateway provides detailed analytics on request volumes, token consumption, costs, and performance across all model providers. This visibility is crucial for organizations running AI applications at scale who need to understand usage patterns, optimize costs, and ensure reliability.

Key features include intelligent caching (serving repeated requests from cache for speed and cost savings), rate limiting (controlling application scaling and preventing runaway costs), request retry and model fallback (improving reliability through automatic failover), and cost tracking across multiple providers. The caching system is particularly powerful for AI agents that make repetitive queries or serve similar user requests.

For AI agent deployments, Gateway enables sophisticated traffic management patterns like A/B testing between models, gradual rollouts of new model versions, and automatic fallback to backup providers during outages. The observability features help identify performance bottlenecks, track agent behavior patterns, and optimize prompt engineering based on actual usage data.

Integration requires only changing the API endpoint URL while keeping existing authentication and request formatting. This makes it easy to add Gateway to existing applications without code rewrites. The service supports all major providers including OpenAI, Anthropic, Google, Replicate, and Workers AI, with a unified interface for multi-provider applications.

AI Gateway integrates seamlessly with Cloudflare's broader AI ecosystem including Workers AI for inference and Vectorize for vector storage. This creates comprehensive AI application infrastructure running entirely on Cloudflare's edge network. The service is available on all Cloudflare plans including free accounts, with usage-based pricing for advanced features.

🎨

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Editorial Review

Cloudflare AI Gateway provides essential observability and control for production AI applications. The combination of caching, rate limiting, and analytics makes it valuable for any organization running AI at scale.

Key Features

  • •LLM Request Routing
  • •Response Caching
  • •Rate Limiting
  • •Request Analytics
  • •Provider Failover
  • •A/B Testing

Pricing Plans

Free Tier

Free

    Pay-as-you-go

    Usage-based

      See Full Pricing →Free vs Paid →Is it worth it? →

      Ready to get started with Cloudflare AI Gateway?

      View Pricing Options →

      Getting Started with Cloudflare AI Gateway

      1. 1Create a Cloudflare account and navigate to the AI Gateway section
      2. 2Create a new gateway and configure your preferred model providers
      3. 3Update your application's API endpoint to route through AI Gateway
      4. 4Set up caching, rate limiting, and monitoring policies
      5. 5Monitor analytics and optimize based on usage patterns
      Ready to start? Try Cloudflare AI Gateway →

      Best Use Cases

      🎯

      Multi-provider AI applications that route requests across OpenAI, Anthropic, Google, and Workers AI and need a single unified observability and billing layer

      ⚡

      Production AI agents requiring high availability through automatic provider failover and request retry when an upstream LLM API errors or rate-limits

      🔧

      Cost-sensitive AI features (chatbots, search, RAG) where caching repeated queries at Cloudflare's edge meaningfully reduces token spend

      🚀

      Teams already running on Cloudflare Workers, Workers AI, or Vectorize who want their AI traffic governed by the same edge platform

      💡

      Engineering teams needing rate limiting and DLP on user-facing LLM endpoints to prevent abuse, cost runaways, and data leakage

      🔄

      Organizations needing OpenTelemetry-based AI observability piped into existing dashboards (Datadog, Honeycomb, Grafana) via Workers Logpush

      Integration Ecosystem

      10 integrations

      Cloudflare AI Gateway works with these platforms and services:

      🧠 LLM Providers
      OpenAIAnthropicGooglereplicatehuggingface
      📊 Vector Databases
      vectorize
      ☁️ Cloud Platforms
      cloudflare
      📈 Monitoring
      cloudflare-analytics
      🔗 Other
      webhooksrest-api
      View full Integration Matrix →

      Limitations & What It Can't Do

      We believe in transparent reviews. Here's what Cloudflare AI Gateway doesn't handle well:

      • ⚠Introduces 5-10ms latency overhead per request through proxy layer, impacting real-time AI applications
      • ⚠Advanced rate limiting and detailed analytics require paid plans after exceeding free tier thresholds
      • ⚠Complex multi-provider routing configurations can become difficult to debug and maintain at scale
      • ⚠Complete dependency on Cloudflare's global network creates single point of failure for AI application access
      • ⚠Caching behavior may serve stale responses for dynamic AI outputs requiring real-time accuracy
      • ⚠Limited customization options for specialized AI workflow requirements beyond standard proxy features

      Pros & Cons

      ✓ Pros

      • ✓Universal proxy supporting all major AI providers
      • ✓Powerful caching reduces costs and improves performance
      • ✓Comprehensive analytics and observability features
      • ✓Easy integration requiring only endpoint URL changes
      • ✓Free tier includes unlimited requests with basic features

      ✗ Cons

      • ✗Introduces an additional infrastructure dependency
      • ✗Advanced features require paid plans for high-volume usage
      • ✗Configuration can become complex for sophisticated routing policies
      • ✗Limited to Cloudflare's global network infrastructure

      Frequently Asked Questions

      How does AI Gateway affect request latency?+

      AI Gateway adds minimal overhead (typically <10ms) as it runs on Cloudflare's global edge network. For cached responses, latency can actually improve dramatically with sub-10ms response times. The global deployment ensures the proxy layer is close to both your application and the target AI provider.

      Can I use AI Gateway with existing applications?+

      Yes, integration requires only changing your API endpoint URL from the provider's direct endpoint to your AI Gateway endpoint. All existing authentication, request formatting, and response handling remain unchanged, making adoption seamless for existing applications.

      How does caching work with dynamic AI responses?+

      AI Gateway caches responses based on request content and parameters. For deterministic models with identical inputs, caching provides exact response reuse. For non-deterministic responses, you can configure caching policies based on your application's tolerance for response variation versus performance gains.

      What analytics and monitoring capabilities are provided?+

      AI Gateway provides comprehensive analytics including request volumes, token consumption, costs per provider, response latency, error rates, and usage patterns. Real-time dashboards show current activity while historical reports help with cost optimization and capacity planning.

      🔒 Security & Compliance

      🛡️ SOC2 Compliant
      ✅
      SOC2
      Yes
      ✅
      GDPR
      Yes
      ❌
      HIPAA
      No
      ✅
      SSO
      Yes
      —
      Self-Hosted
      Unknown
      ❌
      On-Prem
      No
      ✅
      RBAC
      Yes
      ✅
      Audit Log
      Yes
      ✅
      API Key Auth
      Yes
      ❌
      Open Source
      No
      ✅
      Encryption at Rest
      Yes
      ✅
      Encryption in Transit
      Yes
      Data Retention: configurable
      Data Residency: GLOBAL
      📋 Privacy Policy →🛡️ Security Page →
      🦞

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      What's New in 2026

      Enhanced A/B testing capabilities for model comparison, improved caching algorithms with semantic understanding, expanded provider support including latest AI services, and advanced cost optimization recommendations based on usage patterns.

      Alternatives to Cloudflare AI Gateway

      Helicone

      LLM Observability

      Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.

      LangSmith

      AI Observability

      LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.

      Langfuse

      LLM Observability

      Langfuse is an open-source LLM observability and engineering platform providing tracing, prompt management, evaluations, and dataset management for production AI applications.

      View All Alternatives & Detailed Comparison →

      User Reviews

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      Quick Info

      Category

      Deployment & Hosting

      Website

      developers.cloudflare.com/ai-gateway/
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