Jev for Python
581 curated Jev resources. Python clients, SDKs, and tools.
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All 581 Jev resources for Python
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Showing 1–48 of 581 resources
A logistics exception gate that reads carrier codes and free-text driver notes in one scan event and decides whether a shipment needs a human, which exception class it is, and how severe the delay looks.
Jev Tools & CLIs#community#python#logistics
Community
A localization pre-review gate that pairs source and target strings and judges meaning, terminology, tone, and placeholders as separate questions, so one failing dimension blocks a release without blending scores.
Jev Tools & CLIs#community#python#localization
Community
A podcast chaptering tool that labels transcript windows and marks boundaries as separate local judgments, classifying content, sponsor, and housekeeping segments without generating prose for the titles.
Jev Tools & CLIs#community#python#media
Community
An insurance claim triage tool that classifies loss type, scores documentation completeness, and flags fraud indicators in a first-notice-of-loss narrative, routing claims without denying any or setting a payout.
Jev Tools & CLIs#community#python#insurance
Community
An agricultural advisory demo that turns sensor readings, a forecast, and a crop stage into a next-action choice plus an urgency score, routing marginal readings to an agronomist instead of triggering an application.
Jev Demos & Experiments#community#python#agriculture
Community
A clinical intake router that picks a care pathway from a patient's reported reason for contact and flags whether the message needs a same-day response, without ever assigning a condition or a treatment.
Jev Tools & CLIs#community#python#healthcare
Community
A warehouse pick-verification step that compares a scanned item, the bin's expected contents, and the order line to decide between accept and re-scan, catching confusable picks a barcode alone would pass.
Jev Integrations & Adapters#community#python#robotics
Community
2GitHub stars
A ComfyUI node pack that branches a generation workflow on a plain-English question such as whether an image is too graphic for kids, running locally on Laya by default or Jev on a dropdown switch.
Jev Integrations & Adapters#community#comfyui#python
Community
dante01yoon/ComfyUI-SystemOnePython
dante01yoon/ComfyUI-SystemOnePythonUnsloth's guide to turning a generative LLM into a Jev-style decision model that returns a choice with a probability instead of text, plus a companion page for serving Laya behind the TypeSafe API.
Jev Models & Reimplementations#community#fine-tuning#open-models
Community
An open-source data analyst agent that keeps Qwen for generating SQL and uses Jev as a review layer at three checkpoints: question clarity, SQL fidelity to the request, and whether the final explanation is grounded in the returned rows.
Jev Demos & Experiments#community#agents#sql
Community
11GitHub stars
A Python decorator that turns a Pydantic model into Jev questions: bool becomes a Noul, a Literal becomes a Choice, and a bounded int becomes a Score, with answers validated back into the model.
Jev Repos & SDKs#community#python#pydantic
Community
aaazzam/jevPython
aaazzam/jevPythonThe Hugging Face hub for Laya's open System 1 checkpoints: the 421M English model at the repo root, a 322M multilingual build in a subfolder, and the typed-decisions fine-tune, all Apache-2.0.
Jev Models & Reimplementations#community#open-models#local
Community
The fine-tuned Laya checkpoint for four typed-decision workflows: 0.766 accuracy on 2,000 held-out decisions, above Jev 1.13.0's published 0.727 and the teacher self-agreement ceiling it trained past.
Jev Models & Reimplementations#community#open-models#local
Community
Supersonic Labs' 144.3M-parameter decision model on mmBERT-small: choice, score, and noul answers from supplied options in one pass, 73.15% on 2,000 typed decisions, Apache-2.0.
Jev Models & Reimplementations#community#open-models#local
Community
An open distillation of Jev 1.13 onto Qwen3.8-27B: a 108.9M-parameter decision block answers typed questions in one prefill pass and adds a POST /v1/decide route beside a full System 2.
Jev Models & Reimplementations#community#open-models#local
Community
The vision sibling: the same text-trained System 1 head on Qwen3.8-27B's image encoder, taking images zero-shot, ranked first of 20 vision decision models on the community Jev Decision Index 0.3.
Jev Models & Reimplementations#community#open-models#local
Community
The 9B member of AutoTrust's Jev students: a 40.2M-parameter decision block on Qwen3.5-9B with 0.019 mean KL to Jev 1.13 and 70.7% HumanEval left untouched, small enough for one modest GPU.
Jev Models & Reimplementations#community#open-models#local
Community
AutoTrust's Gemma-based decision model with adaptive thinking: System 1 answers below 0.8 confidence hand off to the full Gemma 4 26B and mix the two by half, behind POST /v1/decide.
Jev Models & Reimplementations#community#open-models#local
Community
Liquid AI's 3.12B decision model built on LFM2.5-VL: state plus typed questions in one forward pass with zero output tokens, 48.57 on Decision Index 0.2.1 and 8 ms per decision on an RTX 4090.
Jev Models & Reimplementations#community#open-models#local
Community
An untrained readout: stock Gemma-4-31B weights plus a decider config that reads option letters at the answer slot, scored #2 of 70 on Decision Index v0.2.1 at 57.33 against Jev 1.13.0's 57.91.
Jev Models & Reimplementations#community#open-models#local
Community
GGUF builds of the Jev-Style v3 decision model on Qwen3.5-0.8B: a 0.53 GB Q4_K_M file the card says is decision-identical to FP32 on 240/240 parity rows, served through a pinned llama.cpp scorer.
Jev Models & Reimplementations#community#open-models#local
Community
Interfaze's 4B LoRA adapter over Qwen3.5-4B that speaks POST /v1/systemone: 0.807 held-out weighted accuracy and 0.061 ECE after calibration, with a 200,000-example training recipe documented.
Jev Models & Reimplementations#community#open-models#local
Community
Nace.AI's 8B decision model on NVIDIA's Efficient-DLM diffusion backbone: a 256-dim pointer head scores every option in one pass, behind the same POST /v1/systemone API as its hosted service.
Jev Models & Reimplementations#community#open-models#local
Community
A 400M-parameter Jev-compatible decision model with a browser build: 0.796 on typed decisions against Laya's 0.766, 17 ms per question on an L40S, and an ONNX file that runs in a tab.
Jev Models & Reimplementations#community#open-models#local
Community
The vLLM Semantic Router project's 29.37B decision model on Qwen3.8-27B: a probability per supplied option with zero generated tokens, 74.0 on JevArena and 56.5 on Jev Decision Index 0.2.1.
Jev Models & Reimplementations#community#open-models#local
Community
Superagent's security triage model: a continual fine-tune of AutoJev-27B that returns calibrated probabilities for prompt-injection and content checks, with a release policy at 0.70 unsafe.
Jev Models & Reimplementations#community#open-models#local
Community
FINAL-Bench's zero-token classifier: one forward pass plus a fitted temperature produce a full distribution over options, scoring 0.743 on the 2,000-decision typed-decisions test split.
Jev Models & Reimplementations#community#open-models#local
Community
Strands Agents' small decider for agent plumbing: routing, tool selection, triage, and guardrails from a 2B LoRA checkpoint that serves /v1/systemone locally or through a Python package.
Jev Models & Reimplementations#community#open-models#local
Community
A 4B scorer rebuilt from Qwen3-4B into a branching cross-encoder: one branch per option, no position bias, up to 256 options, and calibrated probabilities with no text to parse.
Jev Models & Reimplementations#community#open-models#local
Community
A 0.4B Jev-compatible decision model with measured order invariance: 960 random option shuffles moved no probability by more than 1e-5, and bev-decider serve exposes /v1/systemone.
Jev Models & Reimplementations#community#open-models#local
Community
4GitHub stars
Python harness for GUI grounding: it divides a screenshot into grid tiles, has a vision model describe each tile neutrally, then asks typesafe-ai/jev to choose among the descriptions. Local confidence and margin gates decide whether to descend or refuse, and it emits only a point and bounding box.
Jev Tools & CLIs#community#gui-grounding#computer-use
Community
ZihuaEvan/GUI_JEVPython
ZihuaEvan/GUI_JEVPython0GitHub stars
Claude Code PreToolUse hook that asks Jev one Noul on whether a Bash command is strictly read-only and auto-approves at p of 0.95 or higher. It can only allow or stay silent, never deny, so unknown or risky commands fall back to Claude Code's normal permission prompt.
Jev Tools & CLIs#community#claude-code#hooks
2GitHub stars
Jev-style medical QA implementation on Qwen3.5-4B that selects an answer from candidates in one forward pass instead of generating text. It reports 69.42% accuracy versus 67.41% for standard generation and a 10.37x speedup across 153,889 questions from nine benchmark sets.
Jev Models & Reimplementations#community#medical#benchmark
Community
Ztrura/Jev-MedQAPython
Ztrura/Jev-MedQAPython12GitHub stars
Apache-2.0 ModernBERT fine-tune that answers noul, choice, score and multi-label questions with a probability for every option. It serves Jev's POST /v1/systemone locally so TypeSafe's Python SDK runs unchanged, reporting 0.026 expected calibration error on its test split.
Jev Models & Reimplementations#community#calibration#modernbert
Community
SamratDuttaOfficial/WaterSheepPython
SamratDuttaOfficial/WaterSheepPython7GitHub stars
Claude Code plugin whose UserPromptSubmit hook asks Jev a Choice over /effort levels (low, medium, high, max, unclear) plus a Noul on whether a hands-off request has a fuzzy spec, then offers a one-key switch before Claude starts when the tip clears its confidence threshold.
Jev Tools & CLIs#community#claude-code#plugin
2GitHub stars
Pre-registered benchmark adding Jev 1.13 to Stanford MedHELM's MedHallu results: one Noul asks whether a proposed answer misrepresents its PubMed abstract. Jev scored 92.9% on 1,000 test items at a 204 ms median and USD 0.03 per 1,000 checks through OpenRouter.
Jev Benchmarks & Evaluations#community#medical#hallucination
Community
stperic/jev-medhallu-benchmarkPython
stperic/jev-medhallu-benchmarkPython110GitHub stars
Ascend NPU fork of the Laya decision checkpoints that answers Jev-style Choice, Score and Noul questions in a single forward pass on Huawei 910B hardware. It reports 37-47 ms median for a four-question request, 33.8x-70.9x faster than one container CPU thread.
Jev Models & Reimplementations#community#ascend-npu#decision-model
Community
zzhdbw/laya-AscendPython
zzhdbw/laya-AscendPython192GitHub stars
Python multi-agent runtime that ships Jev natively in an optional extras install: agents ask typed Choice, Score and Noul questions through a shared decision client, the Kernel can pick specialist subagents by Choice, and RAG passages with a prompt-injection Noul above 0.70 are withheld.
Jev Integrations & Adapters#community#framework#mesh
3GitHub stars
Measured robotics study that runs Jev as the decision layer for a 10,000-robot warehouse fleet over 41 bilingual incident templates and publishes a crossover against a self-hosted ModernBERT: 0.527 s p50, $24.57 per million decisions, and 91.3% agreement with template labels.
Jev Benchmarks & Evaluations#community#robotics#fleet-triage
Community
robokrunch/jev-physical-aiPython
robokrunch/jev-physical-aiPython6GitHub stars
Focus mode for Omarchy and Hyprland that judges each screen against the task you declared and escalates from a red reticle to a window haze and, as a last resort, closing the drifting browser tab. Each check is one Jev on-task classification, with screenshots OCR'd locally and never uploaded.
Jev Integrations & Adapters#community#focus#linux
Community
iYassr/omarchy-laserPython
iYassr/omarchy-laserPython9GitHub stars
A Jev-style typed-decision baseline built on the frozen Qwen3.5-4B checkpoint that accepts a local image path directly, letting the vision-language model score declared options without generating text. Ships scoring modes, a WebGPU browser demo and benchmark results measured on an RTX 3090.
Jev Models & Reimplementations#community#multimodal#open-models
Community
jiangxiluning/Visual-JevPython
jiangxiluning/Visual-JevPython3GitHub stars
Apache-2.0 decision models for browser agents: a Qwen3.5-35B-A3B fine-tune that answers jev-ultrafast's per-step operation and target-element Choice questions in one forward pass behind a Jev-compatible /v1/systemone API. Includes training code, a serving stack and a 125-task real-website evaluation.
Jev Models & Reimplementations#community#browser#open-weights
Community
lexmount/WebJevPython
lexmount/WebJevPython5GitHub stars
A chatbot with no language model: every word is picked from roughly 4,700 options by Jev Choice questions, with confidence-driven lookahead, beam search across sentence directions and a self-critique loop that rewrites weak sentences. Code for the paper and the live demo at talktojev.com.
Jev Demos & Experiments#community#chatbot#research
Community
xucian/talktojevPython
xucian/talktojevPython77GitHub stars
An Apache-2.0 0.8B decision model that returns calibrated probabilities for yes/no, choice and score questions on CPU. Distributed as GGUF for llama.cpp and served behind a Jev-style /v1/systemone API, so existing Jev clients mostly need only a new base URL.
Jev Models & Reimplementations#community#gguf#local-inference
Community
kouhxp/gutsyHTML
kouhxp/gutsyHTML4GitHub stars
A pre-release Python framework for predictions on mixed text and tabular data: Jev Noul and Score questions turn text columns into numeric features, then a tabular foundation model such as TabPFN learns from labeled rows in context. Offers hosted and fully local backends.
Jev Repos & SDKs#community#tabular#predictions
Community
edamame-labs/tab-jevPython
edamame-labs/tab-jevPython3GitHub stars
The first Chinese-language calibration benchmark for Jev-class System One decision models: 378 items and 467 questions across voice routing, e-commerce service and content moderation, with accuracy, ECE, Brier, NLL, AUROC, option-order and zh-CN/zh-TW robustness metrics.
Jev Benchmarks & Evaluations#community#benchmark#calibration
Community
CodyQin/zh-decision-benchPython
CodyQin/zh-decision-benchPython0GitHub stars
A local winner-stays-on tournament where up to 2,569 animals fight one on one and every fight is one Jev Choice between two names under arena rules held in state. A measured 1,999-fight run took about 16 seconds, 64 API calls and roughly US$0.01.
Jev Demos & Experiments#community#game#tournament
3GitHub stars
A Python decision gateway and stdio MCP server that exposes Jev through OpenRouter's alpha decisions endpoint. Five tools cover yes/no checks, classification, scoring, multi-question evaluation and health, with bounded retries, validated answers and local diagnostics.
Jev Agents & MCP#community#mcp#openrouter
Community
ctmx/openrouter-jev-mcpPython
ctmx/openrouter-jev-mcpPythonRelated languages
Languages that overlap with Python.
Jev articles
Original guides that go deeper on Jev python.
Every decision path has a failure posture, whether you chose one or not. How to put retries in the client, bound the whole call, and make the fallback an explicit, per-action policy.
Jev Practices & Patterns#reliability#retries#api
Read article
Support is a long chain of small judgments over text. Triage category and urgency separately, route with a confidence gate, decompose hard tickets, and decide the action in code.
Jev Practices & Patterns#customer-support#routing#triage
Read article
A test loop is a long series of small judgments. What the Playwright, mobile QA, and CI experiments report: two calls per probe, 131 ms medians, and near coin-flip failures to design around.
Jev Practices & Patterns#testing#qa#confidence
Read article
Watch: Jev in action
Video walkthroughs and demos from the community.
YouTube: Greg Isenberg and Ryan Vogel on the businesses Jev unlocks, and a path in through the Vercel AI Gateway.
YouTube: CJ from Syntax demos browser use, classification, code review, a model router, and a chat bot with no LLM.
YouTube: Ryan Vogel runs Jev on 100 and then 1,000 emails: category, priority, spam, and reply predictions.
Discussions about Jev
Threads from Reddit and Hacker News about building with Jev.
Hacker News: Show HN: Ad Spend Guard gates budget before the auction, not the creative after.
Show HN: Gating ad budget with a decision modelRead the thread on Hacker NewsReddit: Reranking rebooking options with a decision model, ranked with reasons.
Hacker News: Pick Verify: a single decision at the warehouse pick station catches confusable picks.
Show HN: Verifying robot picks with a decision modelRead the thread on Hacker NewsHacker News: Decision Index 0.2.1 scores open reproductions of Jev on a frozen suite.
jackbravo4 pointsDecision Index 0.2.1 – 70 open reproductions of TypeSafe Jev's Decision ModelRead the thread on Hacker NewsFrom the Jev community
Posts from builders shipping with Jev right now.