관측성 및 운영

자체 호스팅 시스템으로 Python 전략, 백테스트, 모의 거래, 실거래 실행과 모니터링을 지원합니다. Jev가 주문, 전략, 노출, 포지션, 예산 정보를 평가해 진입 필터용 선택 결과와 확률을 반환합니다.

AI 애플리케이션 추적 규약과 계측 기능을 제공하며 모델 호출, 검색, 외부 도구를 다룹니다. TypeSafe 연동은 systemOne을 JSON 입력·출력, 모델, 토큰 사용량이 있는 span으로 기록하며 예시는 Choice, Noul, Score를 다룹니다.

DSCODE는 터미널 UI, CLI, 스크립트가 영속 세션 런타임을 공유하는 macOS 코딩 에이전트입니다. 저장소에는 Choice, Score, Noul을 지원하는 OpenRouter alpha Decisions용 별도 Jev 클라이언트가 포함됩니다. 세션에서 편집, 테스트, 에이전트 간 작업 인계를 수행합니다. Jev 클라이언트에는 API 키가 필요합니다.

TypeSafe Mario는 에뮬레이터 텔레메트리와 RAM 기반 관찰을 사용하는 실험적 NES 제어 루프입니다. Python 3.13, TypeSafe 키, 로컬 게임 환경을 준비하고 state-demo를 확인한 뒤 play를 실행합니다.

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.