Edge Ingress + Queue + AI Pipeline

Generic demo for digital businesses: Cloudflare validates public events, queues clean work, backend/GCP pulls safely, AI Gateway + Workers AI produces insight.

Worker-served UI · Phase 1 prototype
Architecture flow
Raw Internet Event
forms, webhooks, email replies, content events
Cloudflare Edge
WAF, bot controls, Worker validation
Cloudflare Queue
clean event buffer, absorbs spikes
Backend / GCP Pull
pulls only clean messages, controls rate
AI enrichment
Cloud Run calls Gateway, Gateway routes to model
AI Gatewayauth, logs, cost, cache, rate limits
Workers AIsentiment classification model
Customer context
Scenario
1. Raw Event
Untrusted public traffic

            
2. Cloudflare Clean Edge
Worker validation + Queue buffer

            
0clean queued
0blocked at edge
3. Backend Pull + AI
GCP/Backend puller + AI Gateway / Workers AI

            
AI latency
tokens
Cloud Run responseOptional: paste /pull-once JSON to render real AI Gateway + Workers AI output.
Use Backend pull to copy curl, run it, paste JSON here.
Edge
1. Stop waste early
0 blocked
Bad traffic dies at Cloudflare before it can trigger origin, backend, or AI work.
Queue
2. Buffer bursts
0 queued
Valid events wait in Cloudflare Queues so backend does not scale instantly for bursts.
Pull
3. Pull at chosen pace
0 pulls
Backend/GCP controls batch size and processing rate instead of reacting to every request.
AI
4. Govern AI spend
0 AI calls
AI Gateway exposes model usage, latency, cache status, and rate-limit controls before AI spend runs away.
Timeline
AI security and cost-control value
AI Gateway
Observe and control every AI call

One gateway layer for analytics, logs, request volume, token/cost visibility, latency, errors, and cache status across providers.

Obs
analyticsloggingprovider visibilitycost tracking
AI Gateway
Reduce avoidable AI spend

Cache repeated prompts, rate-limit abuse, retry safely, and fall back between providers before usage turns into surprise cost.

Cost
cache hitsrate limitsfallbackcustom costs
AI Gateway
Add security at the AI boundary

Authenticate gateway access, inspect prompts and responses with DLP/guardrails, and keep provider keys out of app code with BYOK.

Sec
authDLPguardrailsBYOK
Workers AI
Run a Cloudflare-native model path

Use @cf models on Cloudflare's platform with serverless, pay-for-what-you-use neuron metering and a daily free allocation for demo-scale calls.

Model
@cf modelsserverless GPUsneuronsdaily free allocation
Source docs
Workers pricing Queues pricing AI Gateway pricing Unified Billing BYOK (Store Keys) Gateway caching Gateway rate limiting Workers AI pricing