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Cloudflare AI Gateway

Observe and control AI applications with caching, rate limiting, and analytics for any LLM provider.

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 is a Deployment & Hosting proxy service that gives developers unified observability, caching, rate limiting, and failover across any LLM provider with one line of code, available free on all Cloudflare plans. It targets engineering teams running production AI applications who need cost control, reliability, and analytics without rewriting their stack.

The service operates as an intelligent proxy layer between AI applications and model providers, currently supporting 20+ providers including OpenAI, Anthropic, Google AI Studio, Google Vertex AI, Amazon Bedrock, Workers AI, Azure OpenAI, Cohere, DeepSeek, Mistral AI, Groq, Perplexity, Replicate, ElevenLabs, HuggingFace, OpenRouter, xAI, Cerebras, and more. Integration requires only swapping the API endpoint URL — existing authentication and request schemas remain unchanged. Beyond basic proxying, AI Gateway offers a Unified API (OpenAI compat) so a single request format works across providers, plus advanced features in beta like Dynamic Routing with JSON configuration, Data Loss Prevention (DLP), Guardrails for content moderation, BYOK (bring your own keys), and Custom Providers. The WebSockets API beta supports both realtime and non-realtime streaming.

For observability, AI Gateway provides analytics on request volumes, token consumption, costs per provider, and latency, plus full request/response logging, custom metadata tagging, OpenTelemetry export, and Workers Logpush integration. Caching can serve repeat requests directly from Cloudflare's edge for sub-10ms responses, and rate limiting prevents runaway costs from misbehaving clients or agents. Request retry and model fallback automatically reroute traffic during provider outages — particularly valuable for AI agents that depend on consistent uptime.

Based on our analysis of 870+ AI tools, AI Gateway stands out among LLM proxy/observability platforms for its zero-cost entry point and edge-network deployment. Compared to alternatives like Helicone, Langfuse, and LangSmith in our directory, AI Gateway uniquely bundles proxying with Cloudflare's broader infrastructure (Workers AI, Vectorize, R2), making it the natural choice for teams already on Cloudflare. However, it lacks the deep prompt-engineering and evaluation tooling that purpose-built LLMOps platforms provide. Last documentation update: April 20, 2026.

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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

Unified API (OpenAI Compatible)+

A single OpenAI-compatible request schema works across all 20+ supported providers, so you can swap models without changing client code. This makes A/B testing, multi-provider routing, and fallback chains dramatically simpler. Combined with the Vercel AI SDK integration, it lets full-stack apps treat heterogeneous models as one interface.

Caching at the Edge+

AI Gateway can serve repeat requests directly from Cloudflare's cache with sub-10ms latency, bypassing the origin model provider entirely. This is particularly powerful for deterministic prompts, FAQ-style chatbots, and agent workflows that re-query similar context. Cache policies are configurable per-gateway based on tolerance for response variation.

Request Retry and Model Fallback+

Automatically retries failed requests and falls back to a configured backup provider/model when the primary errors or times out. This turns provider outages from incidents into transparent failovers for end users. It is especially valuable for autonomous agents that cannot afford a single broken upstream call.

Dynamic Routing (Beta)+

JSON-configurable routing logic that lets you direct traffic between providers based on rules, weights, or conditions — useful for canary rollouts, cost-optimized routing, or tier-based model selection. Configuration is declarative and managed per-gateway. Combined with the Unified API, it enables sophisticated multi-model strategies without application code changes.

Data Loss Prevention and Guardrails (Beta)+

DLP scans inbound and outbound payloads to prevent leakage of sensitive data, while Guardrails apply content moderation rules across supported model types. Both run inline at the gateway, so protections apply uniformly regardless of which provider is called. This is meaningful for regulated workloads where prompt or response content must be sanitized before crossing service boundaries.

Pricing Plans

Free

$0

  • ✓Available on all Cloudflare plans including free
  • ✓Core proxying for 20+ AI providers
  • ✓Analytics, logging, and request inspection
  • ✓Caching and rate limiting
  • ✓Request retry and model fallback

Paid (Usage-based)

Bundled with Cloudflare plan

  • ✓Higher request and log volume limits
  • ✓Workers Logpush for log export
  • ✓Persistent log storage at scale
  • ✓Workers AI inference billing (per neuron)
  • ✓Access to advanced beta features as they GA
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:

  • ⚠Adds a proxy hop, so even though latency overhead is small, it is non-zero compared to direct provider calls
  • ⚠Several headline features (Dynamic Routing, DLP, Guardrails, WebSockets API, BYOK, Custom Providers) are in beta and subject to change
  • ⚠Lacks built-in prompt versioning, eval datasets, and trace-based debugging found in dedicated LLMOps tools
  • ⚠Tightly coupled to Cloudflare account plans — pricing and quotas depend on your wider Cloudflare subscription
  • ⚠Configuration complexity grows with sophisticated routing JSON, fallback chains, and custom-provider setups

Pros & Cons

✓ Pros

  • ✓Free on all Cloudflare plans including the no-cost tier — no credit card required to start
  • ✓Supports 20+ AI providers (OpenAI, Anthropic, Google, Bedrock, Workers AI, etc.) through one unified endpoint
  • ✓Single-line integration — only the API endpoint URL needs to change, no SDK rewrites
  • ✓Edge-deployed on Cloudflare's global network with sub-10ms cached response times
  • ✓Native integration with Cloudflare Workers AI, Vectorize, and R2 for full-stack AI infrastructure
  • ✓Beta features like DLP, Guardrails, and Dynamic Routing extend beyond simple proxying into AI safety and traffic management

✗ Cons

  • ✗Adds an additional infrastructure dependency and proxy hop to every AI request
  • ✗Lacks the deep prompt versioning, evaluation, and dataset tooling of dedicated LLMOps platforms like LangSmith or Langfuse
  • ✗Many advanced features (Dynamic Routing, DLP, Guardrails, WebSockets, BYOK) are still in beta and may change
  • ✗Best value is realized only if you are already in or willing to adopt the Cloudflare ecosystem
  • ✗Configuration of dynamic routing JSON and fallback policies has a learning curve for sophisticated multi-provider setups

Frequently Asked Questions

How does AI Gateway affect request latency?+

AI Gateway adds minimal overhead — typically under 10ms — because it runs on Cloudflare's global edge network spanning 300+ cities. For cached responses, latency improves dramatically with sub-10ms response times served directly from the edge instead of the origin provider. The proxy is geographically close to both your application and the target AI provider, which often makes the round-trip faster than calling the provider directly. In practice, most users see net latency improvements once caching is enabled.

Can I use AI Gateway with existing applications?+

Yes — integration takes one line of code. You only change your API endpoint URL from the provider's direct endpoint (e.g., api.openai.com) to your AI Gateway endpoint, and all existing authentication, request formatting, and response handling remain unchanged. AI Gateway also offers a Unified API with OpenAI-compatible request schemas, so you can switch providers without rewriting client code. SDKs from OpenAI, Anthropic, and the Vercel AI SDK all work transparently. Adoption is intentionally frictionless for existing applications.

What does AI Gateway cost?+

AI Gateway is available on all Cloudflare plans, including the free tier, with no credit card required to start. Core features like analytics, logging, caching, and rate limiting are accessible at the free level, while advanced features and higher request volumes scale through Cloudflare's standard usage-based pricing. Workers AI inference, Logpush, and persistent log storage may incur additional charges depending on volume. For exact rates check the Pricing page in the AI Gateway docs, since limits and pricing tiers are tied to your overall Cloudflare account plan.

Which AI providers does AI Gateway support?+

AI Gateway supports 20+ providers natively including OpenAI, Anthropic, Google AI Studio, Google Vertex AI, Amazon Bedrock, Azure OpenAI, Workers AI, Cohere, DeepSeek, Mistral AI, Groq, Perplexity, Replicate, ElevenLabs, HuggingFace, OpenRouter, xAI, Cerebras, Baseten, Cartesia, Deepgram, Fal AI, Ideogram, and Parallel. There is also a Custom Providers beta for adding any HTTP-accessible model. The Unified API lets you call all of these with a single OpenAI-compatible schema, which makes multi-provider A/B testing and fallback trivial.

How does AI Gateway compare to Helicone, LangSmith, or Langfuse?+

AI Gateway is primarily a proxy and traffic-control layer that runs on Cloudflare's edge — its strengths are caching, rate limiting, fallback, and infrastructure-level observability. Helicone is a closer feature match (proxy + analytics) but lacks deep Cloudflare-stack integration. LangSmith and Langfuse are LLMOps platforms focused on prompt engineering, evaluations, traces, and datasets — they offer richer developer-loop tooling but typically pair with, rather than replace, an edge proxy. Choose AI Gateway when you need production-grade traffic management on Cloudflare; choose Langfuse/LangSmith when prompt iteration and evaluation are the priority.

🔒 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

Documentation last updated April 20, 2026, reflecting an expanded provider lineup (20+ providers including Cerebras, Baseten, Cartesia, Parallel, xAI, Ideogram, and Fal AI), the Unified OpenAI-compatible API, beta releases of Dynamic Routing with JSON configuration, Data Loss Prevention (DLP), Guardrails, BYOK key storage, Custom Providers, and a WebSockets API supporting both realtime and non-realtime streaming.

Alternatives to Cloudflare AI Gateway

Helicone

Analytics & Monitoring

Open-source LLM observability platform and API gateway that provides cost analytics, request logging, caching, and rate limiting through a simple proxy-based integration requiring only a base URL change.

LangSmith

Analytics & Monitoring

LangSmith lets you trace, analyze, and evaluate LLM applications and agents with deep observability into every model call, chain step, and tool invocation.

Langfuse

Analytics & Monitoring

Leading open-source LLM observability platform for production AI applications. Comprehensive tracing, prompt management, evaluation frameworks, and cost optimization with enterprise security (SOC2, ISO27001, HIPAA). Self-hostable with full feature parity.

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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