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Plan: Team · Sample ↗
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Sample data. Not a customer bill.

Devbox Agents/Routing policies/Policy editor

Policy editor

Planned

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

Included with Scale

Policy editor is plan-gated in this sample. The preview stays visible.

Compare plans

Code review · review_posted · version 3

Cache

Exact-match is opt-in per route. Semantic cache is Planned.

Semantic cache Planned

What this policy will do

  • Code review agent follows a latency-first policy.
  • A served response has to score at least 0.84 and finish inside 450 ms at p95.
  • Anything priced above $0.0150 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 600 tokens, 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.
  • Parezen only suggests. A person still chooses Enable or Ignore.

Simulated impact

12 sample requests on this route.

Baseline
$0.03
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.