Tool profile
AI gateway for monitoring, caching, rate limiting, routing, and controlling traffic across LLM providers.
LLM traffic observability
Cloudflare AI Gateway sits between your application and model providers so teams can observe and control AI traffic without rebuilding every model call. It gives developers a centralized place for analytics, logs, caching, rate limiting, retries, model fallbacks, provider routing, and cost visibility across providers such as OpenAI, Anthropic, Hugging Face, Replicate, Groq, Perplexity, and Workers AI.
The product is especially relevant when an organization has more than one AI application or more than one model provider. Instead of scattering provider keys, retry logic, usage analytics, and cost checks across codebases, AI Gateway puts those controls at the proxy layer. It is less compelling for tiny prototypes with one model call path, but it becomes useful quickly once reliability, auditability, cost limits, and provider choice start to matter.
Quick fit
Editorial take
AI Gateway should be evaluated as control-plane infrastructure, not as an app builder. The value appears when teams need consistent policy, logs, retries, and cost visibility across multiple model-consuming services.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Agenta
Free planLLMOps
Open-source LLMOps platform for prompt management, evaluation, observability, and collaborative AI application development with a clear hosted pricing ladder.
Choose Agenta when the team wants collaborative prompt management, evals, and observability in one hosted workflow.
Pricing snapshot
Cloudflare's AI Gateway docs state that AI Gateway is available on all plans and that core features are currently free. Persistent logs are available on all plans with different storage limits, while Logpush requires Workers Paid and lists 10 million requests per month plus $0.05 per million additional requests.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
