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typesafe-sdk-gleam

semperos/typesafe-sdk-gleam

Unofficial Gleam client for the TypeSafe AI (Jev) API on Erlang.

Infra / SDKs / Integrations0.97Runner-up: Agent Decisions
Automated README summary

Automatically summarized from the README on 10 Nov 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

An unofficial Gleam client for the TypeSafe AI API, targeting the Erlang target. It lets Gleam developers call TypeSafe's System One model from their code. Not maintained or endorsed by TypeSafe, and not published to Hex.

How it uses Jev

The client calls typesafe.system_one with a request built from a content String and a list of named questions. In the example, a Noul question asks whether the input is about billing; the returned answers dict is read by key. The README shows only this Noul example.

Primitives:noul

Technique worth stealing

Wrap each typed question in a named tuple so answers can be looked up by key in the result dict.

Try it

Add as a pinned Git dependency in gleam.toml, run gleam deps download; live tests need TYPESAFE_API_KEY.

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 projectnot found in the excerpt0.37
  • Shows a System One patternnot found in the excerpt0.05
  • 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 excerpt0.17
  • Is a replica of the modelnot found in the excerpt0.03
  • Solves a common problem (0–2)score on a 0–2 scale1.01 / 2
  • About JevFound in material0.83
Signals
Jev is core to the project0.37Shows a System One pattern0.05Describes handling uncertainty0.03Reports measured numbers0.02Is a runnable tool0.97Top-10 learning shortlist signal0.17Is a replica of the model0.0300.51Solves a common problem (0–2)1.01 / 2012

no-judgment band (0.40–0.60)

Design patterns
Prefetch0.49Questionnaire0.44Fail open, fail closed0.2600.51

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 10 Nov 2026.