LLM tracing lab
Mastery: ship checklist
A second person can reproduce fixture question produces 3 child spans; total latency attributes sum within 5% of root from a clean checkout and name the owner for TRACE-ORPHAN-441.
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Clean-room demo
From a fresh clone/directory, run the commands that prove fixture question produces 3 child spans; total latency attributes sum within 5% of root. A second person plays on-call engineer debugging a slow groundedness miss and follows your script without coaching. The demo includes limitations: what OpenTelemetry traces across retrieve → rerank → generate for support answers still will not do.
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Evidence pack
Bundle: contract snippet, passing tests, metric snapshot for trace_completeness ≥ 0.99 and p95_end_to_end_ms ≤ 2500, security negative probe, rollback note, owner name. Reference TRACE-ORPHAN-441 as the drill you rehearsed. If any item is missing, the ship gate fails even if the happy path dazzles.
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Implementation artifact
pytest tests/test_trace_shape.py -k "three_spans"
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Ownership and next review
For LLM tracing lab, name the human who gets paged, the review date for thresholds, and the condition that triggers reevaluation. Endpoint POST /v1/support/answer remains the production surface you operate for OpenTelemetry traces across retrieve → rerank → generate for support answers — not a slide. Keep TRACE-ORPHAN-441 in the handoff template so the next owner inherits the drill.
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Stage depth
After the peer demo, schedule the next threshold review date. File a short changelog that mentions TRACE-ORPHAN-441 and the control that addresses it. Archive the evidence pack where your team already stores launch records. Resist rewriting everything “for real production” in one weekend — operate this slice until the metrics bore you, then widen. Final self-check: if telemetry vanished, would you still know to hold? If yes, you learned the operating posture this lane teaches.
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Field notes for `llm-tracing-lab` / `mastery-ship`
Trim the demo script until every command is necessary. Record a peer signature line: name, date UTC, pass/fail. File known limitations as bullets, not apologies. Link the evidence pack from the README. Schedule the next game day on a calendar, even if it is solo. Archive the branch tag or release digest you actually shipped. In this chapter the product is OpenTelemetry traces across retrieve → rerank → generate for support answers, the human stakeholder is on-call engineer debugging a slow groundedness miss, and the incident id you design against is TRACE-ORPHAN-441. Re-state the oracle in your notes — fixture question produces 3 child spans; total latency attributes sum within 5% of root — and keep the invariant visible: every span carries trace_id + redacted attrs; prompts sampled ≤ 1%. Track trace_completeness ≥ 0.99 and p95_end_to_end_ms ≤ 2500 as the scoreboard. Surface under change control: POST /v1/support/answer. If you only have forty minutes, finish the fixture for missing parent context → orphan spans, cannot join retrieve to answer before polishing UI. Promotion language stays ternary: promote, hold, or roll back based on evidence, not hope.
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Before you start
Why this matters
Draft a two-minute demo script that proves fixture question produces 3 child spans; total latency attributes sum within 5% of root from a clean directory. Include the failure rehearsal for missing parent context → orphan spans, cannot join retrieve to answer and the rollback/owner line. If the script needs tribal knowledge, the lab is not shipped.
In the wild
See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.
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