Clef Flash requires Ollama 0.35.1 or later.

Clef Flash is a 9B decision model from Cloudflare, fine-tuned from Qwen3.5-9B.

Clef Flash can also read images: add encoded images to the request and they’re scored jointly with the text state.

It’s fully compatible with the Jev and System One APIs, so it works through Ollama’s /v1/systemone endpoint. Use Clef Flash for latency-critical decisions; see clef for the larger, more accurate variant.

ollama pull clef-flash

Highlights

• Fast: Clef Flash had the lowest measured latency of any decision model in Cloudflare’s Decision Index runs — the 27B Clef is roughly five times slower.
• Multimodal: Decide over text, JSON, or images — screenshots, receipts, forms, photos.
• One forward pass: Every option of every question is scored jointly in a single non-autoregressive pass.
• 64K context window: Twice the state Jev’s 32K window holds.
• Apache 2.0 license

What you can build

API

Decision models use Ollama’s /v1/systemone endpoint, documented here. Put the text you want judged in state and your questions in questions. Ollama builds Clef Flash’s prompt for you.

Every question has a type, instructions, and usually criteria:

confidence runs from 0 to 1 and shows how concentrated the probabilities are. It isn’t the chance that the answer is right. If two options tie, the answer follows the model’s option order, so put your preferred option first.

cURL

curl http://localhost:11434/v1/systemone -d '{
  "model": "clef-flash",
  "state": "Checkout has been failing for every customer for the last hour.",
  "questions": {
    "urgent": {"type": "noul", "instructions": "Is this support request urgent?"},
    "team": {
      "type": "choice",
      "instructions": "Which team should handle this request?",
      "criteria": {
        "billing": "Payments, invoices, and refunds",
        "technical": "Outages, errors, and configuration",
        "sales": "Plans and upgrades"
      }
    },
    "severity": {
      "type": "score",
      "instructions": "How severe is the customer impact?",
      "criteria": ["No impact", "Minor", "Major", "Critical"]
    }
  }
}'

{
  "model": "clef-flash",
  "answers": {
    "urgent": {"type": "noul", "noul": 0.998},
    "team": {
      "type": "choice",
      "choice": "technical",
      "probabilities": {"billing": 0.004, "technical": 0.992, "sales": 0.004},
      "confidence": 0.947
    },
    "severity": {
      "type": "score",
      "score": 2.851,
      "legend": {"0": "No impact", "1": "Minor", "2": "Major", "3": "Critical"},
      "probabilities": {"0": 0.002, "1": 0.014, "2": 0.271, "3": 0.713},
      "confidence": 0.631
    }
  },
  "usage": {"input_tokens": 486, "output_tokens": 3}
}

Python

Use TypeSafe’s official Python SDK and point it at Ollama. The SDK requires an API key, but Ollama ignores it, so any value works.

pip install typesafe-sdk
export TYPESAFE_BASE_URL=http://localhost:11434
export TYPESAFE_API_KEY=ollama
export TYPESAFE_DEFAULT_MODEL=clef-flash

from typesafe_sdk import Choice, Noul, Score, TypeSafeClient

questions = {
    "urgent": Noul(instructions="Is this support request urgent?"),
    "team": Choice(
        instructions="Which team should handle this request?",
        criteria={"billing": "Payments, invoices, and refunds", "technical": "Outages, errors, and configuration", "sales": "Plans and upgrades"},
    ),
    "severity": Score(instructions="How severe is the customer impact?", criteria=["No impact", "Minor", "Major", "Critical"]),
}

with TypeSafeClient(timeout=120) as client:
    result = client.system_one(state="Checkout has been failing for every customer for the last hour.", questions=questions)

print(result.nouls["urgent"].noul)     # 0.998
print(result.choices["team"].choice)   # technical
print(result.scores["severity"].score) # 2.85

Decision models aren’t in the Ollama CLI or the Ollama Python and JavaScript libraries yet. Use the API or the TypeSafe SDK for now.

More examples

Images. Gate agent actions on what’s in the frame.

curl http://localhost:11434/v1/systemone -d '{
  "model": "clef-flash",
  "state": "The agent wants to submit the attached form.",
  "images": ["<base64-encoded image>"],
  "questions": {
    "complete": {"type": "noul", "instructions": "Are all required fields filled in?"},
    "type": {
      "type": "choice",
      "instructions": "What kind of document is this?",
      "criteria": {"invoice": null, "receipt": null, "contract": null, "other": null}
    }
  }
}'

Model routing. Send each prompt to the model that fits it.

curl http://localhost:11434/v1/systemone -d '{
  "model": "clef-flash",
  "state": "Design a sharded database schema for a payments ledger.",
  "questions": {
    "model": {
      "type": "choice",
      "instructions": "Which model should answer this prompt?",
      "criteria": {"gemma4": "Small model", "gpt-6": "Large model"}
    }
  }
}'

Benchmarks

Decision accuracy on four end-to-end business workflows from Typesafe Evals: