Your agent product's tool-call success rate fell from 94 to 61 percent after a deploy. Debug it.

A partial drop does not rule out the parser. Define success and its denominator, trace failures through encoding, generation, parsing and execution, then replay the relevant boundary with controlled versions.

Updated Sep 2026 · Learn how AI infrastructure works through explanations, worked examples and diagrams, then practise applying it to interview questions.

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Work through the numbers

Change the assumptions in a free calculator, then explain what the result establishes and what still needs measurement.

The concepts behind this question

Use these concept explanations to review the ideas behind this question.

Advanced

🚀 Inference & Serving🔒 Premium

Structured Outputs and Constrained DecodingConstrained decoding rules out tokens that break a grammar. Follow a two-choice example through masking, completion and rollback, then separate valid structure from correct, authorized tool arguments.

Advanced

🚀 Inference & Serving🔒 Premium

Prefix Caching and KV ReusePrefix caching reuses compatible attention state for leading tokens. Calculate shared memory and token reuse, then weigh cache identity, block ownership and routing delay before expecting a latency gain.

Foundational

🔌 Networking & Storage

Debugging a Slow All-ReduceInterpret NCCL algbw and busbw, then isolate a slow collective with controlled tests. Distinguish rank delays, GPU-memory paths and shared-fabric limits without guessing from bandwidth ratios.

Foundational

🧮 Open Weights & Serving Engines

Serving Benchmarks That Do Not LieDesign reproducible serving experiments with realistic arrivals, cache state and failure accounting. Interpret latency-qualified throughput and conditional per-rank bounds without turning optimistic kernel estimates into production capacity.

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UP NEXT ON YOUR JOURNEY

Next in this trackDesign the evaluation you run against a serving deployment, not against a model.Next in this trackEvery response must be valid JSON against a schema. How do you serve that at scale?Next in this trackOne tenant's traffic is pushing everyone else past their latency objective. What do you do?

FEDITOR'S NOTE

Scored on stage-level evidence, stable denominators, partial parser failures, streaming replay, supported comparison bundles and separating tool-call syntax from completed user tasks.

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