jevbooks

← All projects

jev-sdk-go

HomayoonAlimohammadi/jev-sdk-go

Go client for TypeSafe AI structured questions

Infra / SDKs / Integrations0.60Runner-up: Evaluation & BenchmarkingQuestionnaireInspection
Automated README summary

Automatically summarized from the README on 24 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A dependency-free Go 1.24+ client for the TypeSafe AI API, letting Go developers ask Noul, Choice and Score questions about a state and receive calibrated probabilities back as their own types.

How it uses Jev

The caller sends a state plus named questions (Noul, Choice, Score, RawQuestion). Jev returns probabilities per answer; the SDK maps them into per-kind maps and typed handles, rejecting labels or levels the question never offered, and failing the call if any question is unanswered or answered in the wrong kind.

Primitives:choicescorenoul

Technique worth stealing

Register questions with jev.Ask to get typed handles, so answers come back as your own label and level types and the compiler checks the switch.

Try it

go get github.com/HomayoonAlimohammadi/jev-sdk-go, set TYPESAFE_API_KEY, then call client.SystemOne.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.96
  • Shows a System One patternnot found in the excerpt0.23
  • Describes handling uncertaintynot found in the excerpt0.09
  • Reports measured numbersnot found in the excerpt0.16
  • Is a runnable toolFound in material0.98
  • Top-10 learning shortlist signalunclear0.60
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.00 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.96Shows a System One pattern0.23Describes handling uncertainty0.09Reports measured numbers0.16Is a runnable tool0.98Top-10 learning shortlist signal0.60Is a replica of the model0.0300.51Solves a common problem (0–2)1.00 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.94Inspection0.85Fail open, fail closed0.5800.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 24 Sept 2026.