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Sample data. Not a customer bill.

Orbital Health/Routing policies/Policy editor

Policy editor

Planned

Right-size, cascade, cache, batch, automation, YAML and history.

Prior auth · auth_decided · version 3

Thresholds

The customer's bar. A lever that changes quality cannot cross it without a passed shadow test.

appAuth summarygatewayGatewayconditionshadow test passedmodelopenai/gpt-4.1-minifallbackopenai/gpt-4.1-minifallbackopenai/gpt-4.1provideropenai
  1. app
    Auth summary
  2. gateway
    Gateway
  3. condition
    shadow test passed
  4. model
    openai/gpt-4.1-mini
  5. fallback
    openai/gpt-4.1-mini
  6. fallback
    openai/gpt-4.1
  7. provider
    openai
Shadow testsAll tests for this routeSavingsLogs

What this policy will do

  • Auth summary follows a quality-first policy.
  • A served response has to score at least 0.90 and finish inside 1,400 ms at p95.
  • Anything priced above $0.0250 a request is outside this policy.
  • Simple requests can move from openai/gpt-4.1 to openai/gpt-4.1-mini only after a shadow test passes.
  • Cascade is off, so there is no cheap-first attempt.
  • If the chosen model fails, fallbacks run in order: openai/gpt-4.1-mini, openai/gpt-4.1.
  • Output is capped at 360 tokens and must be structured, with reasoning effort low.
  • The route is synchronous, so it stays off batch prices.
  • Exact-match response cache is off for this route.
  • Semantic cache is Planned and is not applied.
  • Automation is manual. Nothing here applies on its own.

Simulated impact

12 sample requests on this route.

Baseline
$0.04
Actual
$0.01
Estimated spend
$0.01est.▲ 0.0%
Measured p95
765 ms
Escalations
0
Fallbacks
2
  • This sample has no cascade escalations. When one happens, its cost is included, not hidden.
  • Exact-match cache is off, so responses are not reused.
  • Semantic cache is Planned and is excluded.