Judgevet

io.github.Alberto-CodesPublished by GitHub account Alberto-Codesv0.23.0Updated Nov 1, 2026

Ask TypeSafe Jev yes/no, choice and score questions and receive structured model judgments.

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Overview

AI-generated overview

Unofficial MCP server that lets an assistant send content and typed questions to TypeSafe's Jev judgment model and get structured yes/no, choice or score…

What you can do
  • Ask yes/no probability questions about a piece of content
  • Ask choice questions and get a selected label with per-label probabilities and confidence
  • Ask score questions and get a continuous score with rubric legend, per-level probabilities and confidence
  • Evaluate answers against a local acceptance policy with a minimum threshold
When to use it
Useful when an assistant needs a model judgment on content, such as deciding whether a support ticket concerns billing, or when you want typed judgments plus a local policy check inside an agent workflow. Not needed if you only use the Python library or CLI.
Requirements
Runs locally over stdio as a PyPI package (judgevet) launched with uvx; Python 3.12 or newer. Requires a TypeSafe API key supplied through the JEV_API__KEY environment variable, and network access to the TypeSafe service.
Before you install
The state, questions and selected model are sent to the TypeSafe service, so only send content you are authorized to disclose. Keep the API key out of source code and command arguments. Model values are probabilities, not verified correctness, and a passing policy does not prove the answer is right. Debug output and error tracebacks can contain sensitive content.

Installation

In SourceWeft

  1. Open Judgevet in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

judgevet

[CI] [Coverage] [Licence] [Ruff] [docvet]

A typed Python client for TypeSafe's Jev (System One) judgment model, with CLI and optional MCP entry points. Use it to ask structured questions about content—for example, whether a support ticket concerns billing.

The state is your content. A question describes what to evaluate. A typed answer contains the model's values, which your application can inspect or compare with a local acceptance policy.

Unofficial and not affiliated with TypeSafe. The official TypeSafe Python SDK also provides typed questions and synchronous and asynchronous clients. judgevet adds a shared library, CLI and MCP contract with local policy evaluation. The library and CLI install without the MCP runtime.

Documentation status: draft. Start below or follow the first-judgment tutorial for environment setup, checkpoints and recovery steps.

Install and ask one question

Use Python 3.12 or newer. In a virtual environment:

bash
python -m pip install 'judgevet==0.23.0'judgevet --help

Supply a TypeSafe API key through your process environment or secret provider. This example reads JEV_API__KEY and passes it explicitly to the library. Do not put real keys in source or command arguments. The installation guide covers other installation methods.

This call sends the state, questions and selected model to the configured service. Send only content you are authorized to disclose. Read the data and credential guidance before using sensitive content. The example uses a synthetic ticket:

python
import os
from judgevet import HTTPSystemOneAdapter, Noul
with HTTPSystemOneAdapter(api_key=os.environ["JEV_API__KEY"]) as client:    response = client.system_one(        state="I was charged twice. Please help today.",        questions={"billing": Noul(instructions="Is this about billing?")},    )
answer = response.nouls["billing"]print(f"Probability of billing: {answer.noul}")print(f"Resolved model: {response.model}")print(f"Input tokens: {response.usage.input_tokens}")

The context manager closes the HTTP client after the call. The answer remains available. If the import or call fails, use the tutorial's recovery steps or the troubleshooting guide.

Read the answer and make a decision

A Noul value such as 0.85 reports the model's probability of yes. The actual value varies. It is not a boolean, a measured accuracy rate or an instruction to route the ticket. Noul has no separate confidence field. See the vendor's Noul definition.

The returned container also records the resolved model and token usage. Other question types let you select a label or evaluate an ordered rubric:

QuestionWhat its answer contains
NoulProbability of yes
ChoiceSelected label, per-label probabilities and confidence
ScoreContinuous score, rubric legend, per-level probabilities and confidence

The vendor API reference defines those fields. The question-type explanation shows how to choose a type and distinguish score, confidence and probability.

A local policy can require a minimum value before your application accepts an answer. For example, 0.85 meets a minimum of 0.8 and fails one of 0.9. These are teaching thresholds, not production recommendations. A passing policy does not prove the model is correct or perform the application's next action. Try the first-policy tutorial with synthetic answers; it requires no key or network.

Choose your next task

NeedStart here
Learn one complete service callFirst judgment
Call from an async applicationAsync Python guide
Use a mounted key or secret providerCredential sources
Deploy in containers or serverlessDeployment guide
Correlate diagnostic eventsEvent contract and caller binding
Configure a proxy or private CANetwork configuration
Configure bounded retriesRetry limits
Handle service and transport failuresLibrary error handling
Evaluate typed or JSON policies in PythonPolicy guide
Use shell commands, files or stdinCLI inputs and CLI policies
Give an agent judgment toolsOptional MCP installation, connection and discovery
Look up types, options or schemasReference map
Understand thresholds and tradeoffsLocal policy explanation
Choose an entry point and own its lifecycleLibrary-first architecture

The CLI uses the same library and can return JSON or a policy exit status. The optional MCP server exposes ask_noul, ask_choice, ask_score and evaluate_policy over stdio. Follow the connection guide to install the extra and configure a host. These are alternative entry points; you do not need MCP to use Python or the CLI.

Know the limits

Exact documentation examples run against isolated installations with synthetic answers. Those checks establish local wiring, not model quality or calibration. Live evidence covers only the observed cases and resolved jev-1.13.0 model. The 429/529 error bodies remain unseen; other models and untouched fields remain unverified. The verification explanation separates local tests, vendor statements and live observations.

Diagnostics are quiet by default. Debug metadata excludes state and question text, but protocol errors, CLI error envelopes and arbitrary tracebacks can contain sensitive content. Review them before sharing. The security policy describes credential, disclosure and diagnostic limits.

Maintainers

Read the contribution policy before proposing work. Use the maintainer procedures for documentation checks, package verification and releases. Repository contribution rules define gates and commits. The verification ledger records which service claims a live call has verified.

Source: README.md at commit 681011a

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the package did not install.

Version history

13
  1. v0.23.0LatestOct 25, 2026
  2. v0.22.0Oct 22, 2026
  3. v0.21.0Oct 21, 2026
  4. v0.20.0Oct 9, 2026
  5. v0.18.0Oct 5, 2026
  6. v0.17.0Oct 1, 2026
  7. v0.16.0Oct 1, 2026
  8. v0.15.0Sep 30, 2026
  9. v0.14.0Sep 29, 2026
  10. v0.13.0Sep 26, 2026
  11. v0.12.0Sep 25, 2026
  12. v0.10.2Sep 25, 2026
  13. v0.10.1Sep 24, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts