daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill
Modular, composable Python client and decision toolkit for the TypeSafe Jev (System One) API. One HTTP endpoint, three question primitives, and a set of pure-logic composition patterns built on top of the answers — plus a concurrent batch evaluation harness, an MCP server, a figure registry, and a reproducible manuscript pipeline.
- Primitives — noul (yes/no), choice (pick an option from a probability distribution), score (rated on ordered levels). Build questions with noul() / choice() / score() and group them in a QuestionSet; batch any number of questions into a single API call. - Client — JevClient / AsyncJevClient wrapping POST https://api.typesafe.ai/v1/systemone, with retries (429/529, exponential backoff, Retry-After), typed error mapping, and a models() listing. Retry policy, default timeout, and default model resolve from the environment (see Configuration); every ask call also accepts a per-call timeout override and extra requestheaders (merged over the defaults for that call only). - Composition patterns — pure functions over answers: compositescore (probability-weighted expected value over score levels), confidencegate (auto-escalate low-confidence answers), route / pick (intent routing by choice). - Evaluation — Evaluator runs a fixed question set over many states concurrently (thread pool for JevClient, asyncio semaphore for AsyncJevClient) without aborting the batch: per-state failures are captured in EvaluationRecord.error. summary() aggregates per-question means/p95s; tojson() serializes records. - Usage accounting — UsageLedger (thread-safe) accumulates
From the project README.
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