Benchmark a vLLM service and build a release gate

Run repeatable HTTP checks, retain failed requests, measure end-to-end latency and require correct, complete answers within a declared deadline.

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AI Infra Interviews editorial · Updated 2026-09-20

What you build: Per-request JSON evidence and a release command that fails when the declared threshold is missed.
Environment: Python 3.12 client · a running local vLLM endpoint
Plan your session: 60–90 minutes plus measured runs. A planning estimate, not measured runtime.
Before you begin: Keep the adapter service from the Unsloth chapter, or the separate Qwen3.5 endpoint, running. Choose task-specific expected answers and a deadline before comparing releases.

Client tested · GPU run pending. Client, failure accounting and gate arithmetic tested with a local HTTP fixture. The fixture does not run a model. No GPU throughput, latency or quality result is claimed.

01All attempts
Keep successful, failed and incomplete requests in the experiment record.
02Joint check
A request must complete, match the expected answer and meet the same deadline.
03Release decision
Divide joint passes by all attempts. Retain the raw cases when a candidate fails.

Follow the changing state through the project. Each boundary has a check in the walkthrough.

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Primary sources

Checked 2026-09-20. Source review and execution checks are described separately above.