可观测性与运维

这套自托管交易系统涵盖 Python 策略、回测、模拟交易、实盘执行与监控。 Jev 评估订单、策略、风险敞口、持仓和预算上下文，为入场过滤返回类型化选择及概率。

OpenInference 提供 AI 应用追踪规范和插桩，覆盖模型调用、检索及外部工具。 TypeSafe 集成将 systemOne 调用记录为 span，含 JSON 输入输出、模型与词元用量；示例覆盖 Choice、Noul 和 Score。

DSCODE 是 macOS 编程智能体，终端界面、命令行和脚本共享持久会话运行时。 仓库包含独立的 Jev 客户端，连接 OpenRouter alpha Decisions 端点，支持 Choice、Score 和 Noul。 可在会话中编辑、测试和向其他智能体交接任务；Jev 客户端需要 API 密钥。

TypeSafe Mario 是实验性 NES 控制循环，使用模拟器遥测及 RAM 提取的游戏观察。 准备 Python 3.13、TypeSafe 密钥和本地游戏环境，先检查 state-demo，再运行 play 命令。

Local Context Compiler (lcc): clean, dedupe and compact prompt context before it reaches the model, then report every block dropped, the cache tokens a pass invalidates and when pruning pays off. Runs offline with a local 1K decision model. MIT, no API key, zero telemetry.

Confidence-gated incident routing with TypeSafe Jev

A unified, async Python framework for LLM applications—chat, autonomous agents, RAG, and sandboxed code execution. Supports OpenAI, Anthropic, Gemini, Ollama, and more through a single API. Features an 8-phase cognitive reasoning cycle, Docker-based isolation, human-in-the-loop approvals, session management, and comprehensive observability.

Deterministic-first cognitive orchestration with bounded TypeSafe JEV supervision, evidence-aware escalation, and privacy-minimizing telemetry.

An autonomous risk-monitoring MCP server. Define a risk profile — a topic, the geographic locations to watch, and the policy triggers that matter — and the server runs an agentic sweep: live web search scoped by a judgment model (Jev), source scoring, and a Markdown briefing you can read from any MCP client.

A universal, sub-100ms FOSS gaming bot framework powered by OpenCV for lightning-fast visual telemetry and Jev System 1 AI for non-autoregressive decision loops.

Single-agent Pi coding coprocessor with Jev semantic gates, baseline-to-current diff review, and append-only observability telemetry.

Autonomous PlayStation 2 AI Agent with real-time visual telemetry HUD powered by TypeSafe Jev System One

Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.

ForgeOS Browser - a private, local-first browser built for humans and prepared for trusted AI agents. Educational prototype. Zero telemetry.

一个用TypeSafe Jev打简化掼蛋的demo；TypeSafe Jev plays simplified Guandan — LLM decision-making over dynamic legal card actions with partial observability.

Jev Guard is a real-time Windows process monitoring application powered by TypeSafe's Jev AI model. It tracks newly launched processes, logs event metadata (paths, command lines, and parent processes) to a local SQLite database, and classifies risk levels—labeling events as benign, suspicious, or malicious on a live interactive dashboard.

Trace DeFi incident exposure through sourced portfolio dependencies with optional Jev classification.

Cheap fail-open semantic edge layer for Jev (TypeSafe System One): decision service + confidence policy + decision logging + blind eval harness + skill router over 1,000+ skills. Stdlib-only Python.

Experiments with Jev (TypeSafe classifier via OpenRouter): an incident-triage agent with Jev as tool and gate, and a smart model router compared against an LLM router

Local observability proxy and playground for TypeSafe Jev

Jev-powered operations decision support for Backstage: readiness checks, incident triage, change review, template and team recommendations, and catalog reranking.

Live-stream encoder settings from telemetry and history: TypeSafe's Jev decision model inside a deterministic safety envelope. Deno, Node, edge runtimes.

Conversational agent workspace with guided onboarding, voice, evaluations and monitoring.

AI Eval Platform — an evaluation and quality-engineering layer for LLM, RAG and agentic systems, with production observability integrations.