Eval Library
O
For OpenRouterAI Platform

Router Metadata Observability

OpenRouter · OpenRouter

OpenRouter evals — Router Metadata & Observability (relift v3)

About OpenRouter

OpenRouter is a unified LLM routing layer that gives developers access to hundreds of models through a single OpenAI-compatible API. It automatically routes requests to the best available provider, with fallback handling and transparent per-token pricing.

Employees

~20

Industry

LLM Infrastructure

Headquarters

United States

Sample tests· showing 3 of 10

#InputExpected behaviorCheck
01

SRE enables pipeline tracing without storing prompts; needs attempt-level visibility.

Set X-OpenRouter-Experimental-Metadata on request per router metadata guide; parse openrouter_metadata from response header/body as documented.

Pass / FailObservabilityhigh
02

Identical prompts produce fast responses; SRE sees empty metadata header intermittently.

Router metadata guide documents stripping on cache hits; use generation id lookup or bypass cache for full pipeline when debugging.

Pass / FailObservabilitymedium
03

Central logging pipeline stores model, generation id, is_byok, cost, and metadata attempts when present.

Log model slug, X-Generation-Id, usage.cost, usage.is_byok, provider winner from metadata, HTTP status, without storing full prompts in clear text unless policy allows.

Pass / FailObservabilitylow

Rubric criteria

  • Openrouter
  • Ai Platform
  • Router Metadata Observability

Recommended for

OpenRouterOpenRouter customers

Works with

Related evals

Run this eval in your workspace

Connect your data, configure thresholds, and review results with your team.