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GETLLMS.ORG

🚀Function Overview

A text-only decision model for ranking, routing, filtering, scoring and other bounded choices where compact calibrated probabilities are more useful than generated prose.

Key Features

  • Pinned historical model ID jev-1.13.0; the latest alias still selects this version.
  • Moving alias jev-latest currently points to Jev 1.13
  • POST /v1/systemone request surface
  • Typed Choice, Score and Noul decision primitives
  • Text, strings, JSON-like state and arrays as input; no image, audio or video input
  • Probability and typed decision output; no prose, code or reasoning explanation generation
  • 64,000-token overall request limit documented by TypeSafe
  • Default 32K per-question budget within the overall request; see the current model documentation for counting.
  • $0.042 per million input tokens with no output-token charge
  • English is the primary language; CJK support is documented as uneven
  • Customer requests and responses are not used for training; zero-data-retention is an enterprise option
  • Group-level calibration requires task-specific thresholds and fallbacks
  • Current rate limits are organization-specific in the TypeSafe console; the earlier fixed-rate statement is historical.
  • October 21 documentation: default 64K/request, 32K/question; the explicit long-context header raises both to 262K. Current rate limits are organization-specific; earlier fixed rates are historical.

Use Cases

  • •Rank candidate actions, documents, code paths or search results
  • •Route a request to a model, tool, workflow or human reviewer
  • •Filter browser content and agent tool output
  • •Score policy, relevance, quality or safety criteria
  • •Choose navigation edges in browser, desktop and graph agents
  • •Triage cases before a slower reasoning or generative model

⚙️Input Parameters

model

string

Use jev-1.13.0 to pin the dated model or jev-latest for TypeSafe's moving alias.

state

string | object | array

Textual context, strings, JSON-like objects or arrays that describe the item or environment being judged.

questions

object

Typed Choice, Score or Noul questions and their allowed labels, options or scale.

💡Usage Examples

Example 1

Input Parameters

{
  "model": "jev-1.13.0",
  "state": "A public document URL is available and the user asks for a summary.",
  "questions": {
    "read_only_fetch": {
      "type": "noul",
      "instructions": "Does the requested task require only reading the supplied public document?"
    }
  }
}

Output Results

Illustrative documented request shape; not executed here. Inspect the actual typed probability response and model version. The application must enforce permissions and validate its threshold.

Quick Actions

Technical Specifications

Hardware Type
TypeSafe hosted API
Commercial Use
Supported
Pricing
$0.042 per 1M input tokens; output tokens free