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sipi.bot vs Cloudflare AI Gateway

Cloudflare AI Gateway is a proxy for LLM traffic — caching, routing, observability. sipi.bot is a pre-spend decision layer. One manages request flow; the other governs money.

What Cloudflare AI Gateway does well

Global proxy with caching, rate limiting, and fallbacks across providers.

Usage analytics and request-level observability in one place.

Rate limiting that can throttle request volume.

Where it falls short

It observes and routes requests — it doesn't decide whether a proposed purchase is within policy.

No merchant allowlist, category budgets, or approval queue for agent spend.

Rate limits cap volume, not dollars: 40 requests under the limit can still cost $12,400.

Where sipi.bot wins

Dollar-level decisions: APPROVED, BLOCKED, or FLAGGED before settlement.

Policy by merchant, category, time-of-day, and per-agent budget.

Approval workflow for edge cases instead of a hard pass/fail.

Deterministic, ~5 ms, no model call.

When to use which

Use AI Gateway for traffic engineering; add sipi.bot for spend policy. They're complementary layers in front of the same agents.

Side by side

DimensionCloudflare AI Gatewaysipi.bot
LayerLLM traffic proxyTransaction decision layer
ControlsCaching, rate limits, routingCaps, allowlists, categories, time rules
UnitRequestsDollars
DecisionRoute / cache / throttleAPPROVED / BLOCKED / FLAGGED
LatencyProxy overhead~5 ms, no model call

FAQ

Can AI Gateway's rate limits stop a runaway bill?

Partially — they cap request volume, not dollar value. A retry loop that stays under the rate limit can still rack up a huge bill. sipi.bot caps the dollars.

Do they overlap?

Minimally. Gateway optimizes traffic; sipi.bot enforces policy. Most production stacks can run both.

Is sipi.bot a gateway?

No — it's a decision API (and MCP tool) that returns approve/block/flag. It doesn't proxy traffic.

Related

Stop the next $12,400 night.

One API call (or MCP tool) in front of every agent transaction — APPROVED, BLOCKED, or FLAGGED, deterministic, ~5 ms, fully logged.

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