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2. A reproducible, cost-bounded experiment

The experiment starts with a falsifiable question:

Can a typed probabilistic recommendation be inserted into a Gaia-style gate without letting the provider create authority or an unbounded cost?

The hypothesis is narrower than “Jev is good”: the same deterministic routing policy should accept a valid closed response, refuse an invented option, refuse malformed probabilities, and route to human review when explicit authority is absent. A live call is only a later measurement of model behavior.

From the repository root:

Terminal window
cd code/typesafe-ai-system-one
python typesafe_lab.py mock
python -m unittest -v

Measured locally on 2026-09-20 with Python 3.14.2:

{
"mode": "mock",
"model": "mock-jev-course/1",
"decision": "human_review:no_explicit_authority",
"request_sha256": "67c1ee4bcd36b497f60872c0715d435b364c3b7743ad06f9be543071af044a1b"
}
Ran 14 tests in 0.078s
OK

The fourteen tests establish only local properties, including these representative checks:

Test What it proves What it does not prove
fixture validates the saved response matches the subset the lab consumes TypeSafe produced it
absent authority refuses dispatch the policy keeps authority in code the 0.9 threshold is calibrated
unknown Choice is rejected invented options cannot enter the decision path the known option is correct
probabilities sum to 1 malformed distributions fail closed probabilities are calibrated

Do not paste the key into a command argument because shell history and process inspection may retain it. Set TYPESAFE_API_KEY in your own environment using your operating system’s secret-handling method, then run:

Terminal window
python typesafe_lab.py live --out live-result.json

The script:

  • refuses before network access if the environment variable is absent;
  • builds one request for the pinned jev-1.13.0 model;
  • counts UTF-8 request bytes as a local size proxy, not a billed-token estimate;
  • refuses if the payload exceeds 2,500 bytes or its $0.000105 byte-based cost proxy at the rate reviewed on 2026-09-22;
  • sends exactly one request with a 20-second timeout;
  • refuses redirects so the bearer token stays bound to the configured API origin;
  • performs no automatic retry on 429, 529, timeout or network failure;
  • never prints or writes the authorization header;
  • validates the response and requires the exact pinned model before routing it;
  • requires authority from trusted local code rather than from the model’s Noul answer;
  • records time, concrete model ID, provider usage, request digest, byte-based pre-call proxy and decision, but not the full provider response.

The byte count limits local request size. It is not a proven upper bound on billed tokens or dollars: server-side framing and account billing controls are separate. The response’s usage.input_tokens is the quantity to multiply by the then-current official input price. Obtain separate approval before a paid call.

Stop the experiment immediately when any condition is true:

  • the key is absent or appears in output;
  • the local byte/proxy limit is exceeded;
  • the response does not match the closed contract;
  • the provider returns 401, 422, 429, 529, a timeout, or any unexpected status;
  • the concrete model differs from the pinned version;
  • the decision would authorize, merge, deploy, publish or delete; the one-call limit does not guarantee a dollar ceiling;
  • the input contains a secret, personal data, proprietary content without approval, or more repository context than the question needs.
Field Required evidence Current state
request identity SHA-256 from the script mock only
model concrete response model untested live
usage input_tokens, output_tokens untested live
cost input tokens × current official price untested live
latency script elapsed_ms untested live
shape validator passed mock passed; live untested
policy outcome exact decision mock refused dispatch
task quality result against a pre-labeled answer untested

One successful call is a connectivity probe, not an evaluation. The next useful experiment is a versioned corpus containing clear cases, boundary cases and deliberate counterexamples, scored before thresholds are changed.

  1. Why does the script pin jev-1.13.0 rather than use jev-latest?
Solution

Because an alias can move without a code change. Thresholds and measured accuracy belong to the concrete model that produced them. Pinning makes replay and regression comparison meaningful.

  1. The provider documents SDK retries, but this probe refuses to retry. Is that a bug?
Solution

No. The experiment’s budget is exactly one call. Automatic retry would make the spend and number of observations ambiguous. Production code may use bounded exponential backoff, but its retry count and worst-case cost must be explicit and separately tested.