jevbooks

← All projects

typesafe-sdk

runapi-ai/typesafe-sdk · Homepage

Typed Jev decision clients for six languages on RunAPI.

Classification & Routing0.84Runner-up: Infra / SDKs / Integrations
Automated README summary

Automatically summarized from the README on 4 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Packages JavaScript, Python, Ruby, Go, Java, and PHP clients for TypeSafe Jev on RunAPI, letting apps build typed requests, classify, route, score, and branch with calibrated confidence while getting consistent RunAPI errors.

How it uses Jev

The Java quick start calls client.systemOne().run() with SystemOneParams containing a model, a state map, and a questions map. Each question has a type (e.g. choice), instructions, and criteria; the synchronous call returns typed answers used directly in code.

Primitives:choice

Technique worth stealing

Build typed request builders around a synchronous system-one endpoint so callers get typed answers in one call.

Try it

Add ai.runapi:runapi-typesafe via Gradle or Maven, set RUNAPI_API_KEY, and call systemOne().run().

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-1.14.0
Project signals
jev-1.14.0
Category
jev-1.14.0
Pattern tags
jev-1.14.0

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 material0.93
  • Shows a System One patternunclear0.48
  • Describes handling uncertaintynot found in the excerpt0.03
  • Reports measured numbersnot found in the excerpt0.02
  • Is a runnable toolFound in material0.97
  • Top-10 learning shortlist signalnot found in the excerpt0.08
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.64 / 2
  • About JevFound in material0.99
Signals
Jev is core to the project0.93Shows a System One pattern0.48Describes handling uncertainty0.03Reports measured numbers0.02Is a runnable tool0.97Top-10 learning shortlist signal0.08Is a replica of the model0.0400.51Solves a common problem (0–2)1.64 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.4900.51

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 4 Nov 2026.