Observability Logs And Traces
Portkey AI Gateway · Portkey
AI Gateway — Portkey
Portkey evals — Observability, Logs & Traces (relift v3 InfraRed)
About Portkey
Portkey is an AI gateway for production LLM apps — a unified, OpenAI-compatible API across 200+ models with provider routing and fallbacks, semantic and simple caching, input/output guardrails (PII redaction, prompt-injection, content moderation), request-level observability and traces, a versioned prompt library, virtual keys with per-key budgets and rate limits, and workspace RBAC + audit logs.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Agent invokes Portkey 5 times in a single user turn (planner → tool call → summarizer); operator wants all 5 calls grouped in one trace. | Set x-portkey-trace-id to the same operator-generated id on each call, or read x-portkey-trace-id from the first response and propagate. Logs and dashboards group by trace_id for end-to-end agent latency / cost attribution. Do not let each call get an independent trace. | Pass / FailAi Platformhigh |
| 02 | Dashboard shows overall p95 latency at 3.2s but operator can't tell which provider is slow. | Break down latency by x-portkey-provider (the actual upstream that served the request) so fallback-tail latency is attributable. Confirm the trace log shows per-attempt upstream timings. Do not assume gateway latency equals upstream latency — guards and cache lookups add overhead. | Pass / FailAi Platformmedium |
| 03 | Operator wants cost-per-tenant in the Portkey dashboard. | Send x-portkey-metadata as a JSON-string header with reserved key _user (or operator-defined keys like tenant_id). Dashboards filter and aggregate by metadata fields. Treat metadata as PII-bearing and keep values to opaque ids — never put email/phone in metadata. | Pass / FailAi Platformhigh |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
Rubric criteria
- Portkey
- Ai Platform
- Observability Logs And Traces
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