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@effect/ai-typesafe

v4.0.1

Published

A TypeSafe DecisionModel provider for Effect

Vulnerabilities

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  • 0Medium
  • 0Low

Links

Git

Maintainers

michael.arnaldimichael.arnaldieffect-boteffect-bot

Keywords

typescriptaitypesafe

Readme

@effect/ai-typesafe

TypeSafe System One provider for Effect's DecisionModel. Supports classification, ordered ratings, and probabilities through Effect HttpClient.

Installation

npm install effect @effect/ai-typesafe

Links

  • Website: documentation, guides, and news.
  • Reference: API documentation for this package.
  • Discord: ask questions, share what you're building, and talk to the core team.
  • Community: meetups and events, or bring Effect to your own.
  • Issues: bug reports and feature requests.

Let's talk

Whether your team is considering Effect, rolling it out, or already running it in production, we'd love to hear from you: what you're building, what works, and what you need from Effect next.

  • Talk to the maintainers. Introduce your team on Discord or email [email protected]. We're happy to connect privately on Slack or Discord for feedback and help with adoption.
  • Production support. We're exploring how to better support teams running Effect in production. If your organization has specific support needs, let's discuss them.
  • Adoption help. Our adoption partners offer implementation, consulting, team extension, training, and commercial support.

Usage

Use TypeSafeClient.layerConfig() to read TYPESAFE_API_KEY, then provide TypeSafeDecisionModel.model("jev-latest") to a decision workflow. Versioned model identifiers such as jev-1.13.0 are also supported.

The client does not retry automatically. Rate-limit errors include the provider's retry delay when available. Provider distributions are preserved, not normalized; they must satisfy the core DecisionModel validation, including its current 1e-6 sum tolerance. TypeSafe's rounding behavior has not been verified against the live API.