Decisions on a laptop CPU in 28–130 ms. Send a text and a question (yes/no, multiple choice or a score) and get back the probability of each answer, in TypeSafe Jev's API, on your own machine.

Quickstart

From the release, download the archive for your system and jevos-v5-openvino-int8.zip, then:

tar -xzf jev-linux-x64.tar.gz                 # Windows: unzip jev-windows-x64.zip
cd jev
unzip ../jevos-v5-openvino-int8.zip           # creates model/
./jev serve                                   # Windows: jev.exe serve

The model is also on Hugging Face, feder-cr/jev: hf download feder-cr/jev --include "model/*" --local-dir jev puts it in jev/model/.

curl http://127.0.0.1:8017/v1/systemone -H 'Content-Type: application/json' -d '{
  "model": "jev-latest",
  "state": "My invoice shows a charge I do not recognize.",
  "questions": {"billing": {"type": "noul", "instructions": "Is this a billing problem?"}}}'

{"model": "jevos-v5", "answers": {"billing": {"type": "noul", "noul": 0.97}}, "usage": {"input_tokens": 28, "output_tokens": 0}}

One binary, CPU only, no Python. The release and the Hugging Face repo also have the model as GGUF for llama.cpp.

Benchmarks

Same questions for every system, through the same HTTP client. Latency is the median of 10 requests (for jevos, of 40 over four sessions) on an Intel Core Ultra 7 255H laptop, 16 threads, each text read from scratch. No task text was used to train jevos; all seven sets were among those used to choose the released checkpoint.

	jevos-v5	Jev	Laya
Yes/no questions	✓	✓	✓
Multiple choice	✓	✓	✓
Scores	✓ (early)	✓	✓
Runs on	your machine	cloud	your machine
Cost	free	per token	free
Context	8,192 tokens	not stated	512 tokens

API

POST /v1/systemone, in TypeSafe Jev's wire format: code written for Jev's SDK works unchanged for yes/no questions. One request can ask several questions about the same text, which is read once:

{
  "model": "jev-latest",
  "state": {"item": "wireless mouse", "customer_message": "The box arrived empty. This is the second time!"},
  "questions": {
    "refund": {"type": "noul", "instructions": "Our policy refunds items reported missing within 30 days of delivery. Should this customer get a refund?"},
    "team": {"type": "choice", "instructions": "Which team should handle this message?",
             "criteria": {"billing": "payments, refunds", "shipping": "deliveries, missing parcels", "tech": "a product that does not work"}},
    "anger": {"type": "score", "instructions": "How angry is the customer?", "criteria": ["calm", "annoyed", "angry", "furious"]}
  }
}

A noul returns P(yes); a choice the most probable option; a score the expected level. Choices and scores also return a probability per answer and a confidence: when it is low, send the case to a person. Put the rule in the question, and do sums in code.

GET /health reports readiness and the SHA-256 of the model files; ./jev decide request.json answers a request file without a server.

Options

Option	Default
--threads	all logical CPUs	fewer if other heavy apps are running
--host, --port	127.0.0.1, 8017	where the server listens
--model-dir	model beside the binary	the model folder

With JEV_API_KEY set, every call but /health needs Authorization: Bearer <key>. About 1 GB of memory, 1.4 GB with the text cache full. Every option is described at the top of src/main.cpp.

Build from source

python -m pip install -r requirements.txt     # OpenVINO's SDK, CMake, Ninja, the tests' packages
python scripts/build.py                       # dist/jev; on Windows, from a Visual Studio developer prompt
python tests/check.py                         # with the model in dist/jev/model

More

Guides and measurements are in the wiki. Built together with Loris Salsi (@LosaLosSantos).