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Jev 1.14
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Jev 1.14

jev-1.14llms.txt
TypeSafe
New
Jev 1.14 is TypeSafe’s structured decision model for classification, scoring, and agent routing, returning typed results with calibrated probabilities. Compared with Jev 1.13, it brings improvements in multilingual support and adds experimental bounding-box outputs for images.

Pricing

  • Input Tokens: $0.0462 /M tokens
  • Output Tokens: $0 /M tokens

Input Modalities

  • Text
  • Vision

Context length

  • 64K tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Structured decision
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Providers

TypeSafe jev-1.14
Pricing$0.0462$0
PrecisionⓘNot Disclosed
Latency-
Throughput-
Uptime
99.59% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today

Performance for jev-1.14

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
import requests

# Structured decision: POST /v1/systemone — every question is evaluated in parallel and in
# isolation against the same state, and comes back typed. No text generation, nothing to parse.
# The answers{} map is keyed by your own question names; each answer holds its value under a
# key named after its type:
#   noul   -> { type, noul }                                      probability of "yes", 0..1
#   choice -> { type, choice, probabilities, confidence }          choice is one of your criteria keys
#   score  -> { type, score, legend, probabilities, confidence }   legend maps level index -> description
# usage carries input_tokens / output_tokens.
url = "https://aihubmix.com/v1/systemone"
headers = {
    "Authorization": "Bearer " + os.environ["AIHUBMIX_API_KEY"],
    "Content-Type": "application/json",
}
payload = {
      "model": "jev-1.14",
      "state": "Hi, I have been trying to connect my Stripe account for 3 days and it keeps failing. I am losing sales. Please help ASAP.",
      "questions": {
        "department": {
          "type": "choice",
          "instructions": "Which team should handle this",
          "criteria": {
            "billing": "Payment or subscription issues",
            "technical": "Bugs or integration problems",
            "sales": "Pricing or account questions"
          }
        },
        "frustration": {
          "type": "score",
          "instructions": "How frustrated the customer appears",
          "criteria": [
            "Calm, just stating facts",
            "Frustrated but civil",
            "Very angry, strong language"
          ]
        },
        "is_urgent": {
          "type": "noul",
          "instructions": "The message conveys urgency or time-sensitivity"
        }
      }
    }

response = requests.post(url, headers=headers, json=payload)
response.raise_for_status()

data = response.json()
for name, answer in data["answers"].items():
    kind = answer["type"]
    print(name, kind, answer[kind], answer.get("confidence"))
print("usage:", data.get("usage"))

Frequently asked questions

What is Jev 1.14?

Jev 1.14 is TypeSafe’s structured decision model for classification, scoring, and agent routing, returning typed results with calibrated probabilities. Compared with Jev 1.13, it brings improvements in multilingual support and adds experimental bounding-box outputs for images.