Evaluate TypeSafe AI's Jev (System One Model) on TMMLU+ v1.1 — four-way choice via the API's own response schema, 100% parse rate by construction
Jev ecosystem projects — page 45
5191 repositories with documented relationships and source evidence.
Benchmarks of MCP tool selection accuracy and latency. V2 evaluates 143 Woku tools with GPT-6 Luna API calls and Jev; includes Go/Rust cores, one TypeScript SDK and reproducible reports.
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Small, fast, honest decision models. Open alternative to Jev: zero-shot, fit on your labels in seconds, calibrated with a coverage guarantee, Jev wire-compatible.
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Convert legacy chat completion API request to Typesafe jev API
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Self-hosted, Jev-compatible decision-model API — one /v1/systemone endpoint, open weights (Laya, kev), one Docker image per engine.
Community .NET 10 SDK for official TypeSafe AI Jev typed decisions and Microsoft.Extensions.AI integrations.
Daily curated Jev AI projects, System One community models, and real-world use cases.
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Benchmark of TypeSafe's Jev against Sonnet 5, GPT-5 nano and local LLMs on 770 Reddit AITA verdicts: Brier scores, latency and cost
Typed System-1 decisions (Laya/Jev) as the judgment layer of a quant research stack, with Claude as System 2. Requirements → design → code → experiments.
Comparing LLM-as-judge vs TypeSafe Jev for agent guardrails: same rules, same agent, measured on cost, latency, calibration and coverage.
Real-world Jev use cases, open-source projects, benchmarks and criticism — what people actually build with TypeSafe AI's Jev, and where it fails. Machine-readable, updated daily.
MCP server for Jev (TypeSafe System One): the three official question types — choice, score, noul — plus batch classify. Calibrated probabilities, ~0.5s, <$0.001/call.
A Quick Typesafe's Jev Evaluation on Persian
Keep skill catalogs outside the main LLM context. Jev selects relevant skills through one read-only MCP tool.
Jev-powered decision skills for Claude Code and Codex. Opt-in, advisory, fail-open.
No project description available.
spaCy vs TypeSafe Jev on English spam, support routing and Swedish routing, evaluated in Braintrust
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Jev powered pre-execution guard for terminal coding agents
Local multimodal decisions on your Mac. Jev-compatible typed probabilities with Qwen, llama.cpp and Metal.
pi-thinking-router-jev —— pi 的自适应 Thinking Level Router。在任务起点、推理型失败与稳定窗口咨询 jev 决策模型（未配置时本地 规则兜底），动态选择 low/medium/high/xhigh 推理档位：简单改动降档、复杂 debug 升级、失败可升级、稳定可降级。含防抖钳制 、失败安全回退与 JSONL 决策日志，不切换模型、零侵入 agent loop。
https://v.douyin.com/iJtUdfsywHU/
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基于 RWKV-7 (g1k-1b) 的 Jev 式零生成决策引擎：受限 softmax 直读概率分布，支持 noul/choice/score 三原语，TypeSafe /v1/systemone 接口兼容，JevBench v1.2 公开集实测 acc 0.541 / p50 87ms
An unofficial CPP 20 SDK for the TypeSafe API
Jev MCP server: a decision layer for coding agents, built on TypeSafe Jev (System One model). Ship gates, risk checks, file triage that keeps files out of context, and a safe headless browser, with calibrated confidence. For Claude Code, Codex, Cursor.