Page 3 of 8~112 min topic

Semantic cache lab

Build the first working lookup-and-store path

One clean transaction through **POST /v1/answer** must match the oracle: paraphrase hit returns cached answer with cache=HIT; different tenant never hits.

~14 min this pageImplementation

1Learn the idea

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Order the successful transaction

Code the narrow path that serves cost owner cutting duplicate GPT calls for Acme Corp FAQs: accept → authorize/normalize → call dependency → validate → record. Keep stages named so a trace can show which boundary passed. Success must emit evidence useful to hit_rate ∈ [0.25,0.55] and cross_tenant_hits == 0, not only a 200 with prose. Predict the observable for POST /v1/answer before running: paraphrase hit returns cached answer with cache=HIT; different tenant never hits.

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Run with fakes first

Drive the path with recording fakes or local stubs. Assert call order and arguments. Idempotency keys or stable ids should keep retries from duplicating costly work where the product requires it. Product under test remains tenant-scoped semantic cache for repeated FAQ paraphrases — resist adding unrelated features mid-path.

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Implementation artifact

hit = cache.lookup(tenant="acme", policy="p3", question="reset wifi password")
assert hit and hit.meta["cache"] == "HIT"

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Compare prediction to result

For Semantic cache lab, paste the CLI/HTTP transcript beside your prediction for POST /v1/answer. If the oracle is unmet (paraphrase hit returns cached answer with cache=HIT; different tenant never hits), stop and debug this page; do not compensate with prompt folktales. Re-run once after a clean process start to catch hidden global state that would invalidate CACHE-XTENANT-2.

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Stage depth

Performance sketch: measure local p95 for the fake-backed path so later regressions are obvious. Keep concurrency modest until failure-handling proves limits. Log a single structured event per success with request id, revision, and the evidence field behind hit_rate ∈ [0.25,0.55] and cross_tenant_hits == 0. Avoid hidden global caches in the happy path unless the lab is about caching — and even then key by tenant. If the path calls a model, pin model id in config and echo it in the response for auditability. Remember cost owner cutting duplicate GPT calls for Acme Corp FAQs experiences wall-clock time, not your debugger’s single-step comfort.

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Field notes for `semantic-cache-lab` / `happy-path`

Prefer explicit function names over a single god-object handleRequest. Thread a correlation id from ingress to the last log line. When streaming, define what partial failure means before coding. Snapshot one successful response body in fixtures after redaction. If the path writes to a queue, assert message attributes in the fake. Stop adding retries on this page; that is the next concern. In this chapter the product is tenant-scoped semantic cache for repeated FAQ paraphrases, the human stakeholder is cost owner cutting duplicate GPT calls for Acme Corp FAQs, and the incident id you design against is CACHE-XTENANT-2. Re-state the oracle in your notes — paraphrase hit returns cached answer with cache=HIT; different tenant never hits — and keep the invariant visible: cache key includes tenant_id + policy_version; similarity ≥ 0.92 and risk≠high. Track hit_rate ∈ [0.25,0.55] and cross_tenant_hits == 0 as the scoreboard. Surface under change control: POST /v1/answer. If you only have forty minutes, finish the fixture for cross-tenant near-duplicate question returns Acme's private pricing blurb 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

Without calling production, order the steps a single success takes for cost owner cutting duplicate GPT calls for Acme Corp FAQs. Circle the first irreversible side effect. Your prediction should mention POST /v1/answer and the evidence field that proves paraphrase hit returns cached answer with cache=HIT; different tenant never hits.

Check your understanding

Page assessment

Answer from memory. Completion is saved from this evidence, not from opening the next page.

1. Is call order asserted, not assumed?
2. Does success evidence support hit_rate ∈ [0.25,0.55] and cross_tenant_hits == 0?
3. Did you compare prediction vs transcript?

All responses are required.