Observability und Ops

Die selbst betriebene Plattform umfasst Python-Strategien, Backtests, simulierten Handel, reale Ausführung und Überwachung. Jev bewertet Order, Strategie, Exposition, Positionen und Budget und liefert typisierte Entscheidungen samt Wahrscheinlichkeiten für den Einstiegsfilter.

Es liefert Konventionen und Instrumentierung für KI-Anwendungen, einschließlich Modellaufrufen, Retrieval und externen Werkzeugen. Die TypeSafe-Integration erfasst systemOne als Spans mit JSON-Ein-/Ausgaben, Modell und Tokenverbrauch; Beispiele decken Choice, Noul und Score ab.

DSCODE ist ein macOS-Programmieragent, dessen Terminaloberfläche, CLI und Skripte dieselbe dauerhafte Sitzung nutzen. Das Repository enthält einen separaten Jev-Client für OpenRouters Alpha-Decisions-Endpunkt mit Choice, Score und Noul. Sitzungen dienen zum Bearbeiten, Testen und Übergeben von Agentenaufgaben; der Jev-Client benötigt einen API-Schlüssel.

TypeSafe Mario ist eine experimentelle NES-Steuerung mit Emulatortelemetrie und aus RAM gewonnenen Beobachtungen. Mit Python 3.13, TypeSafe-Schlüssel und lokalem Spiel zuerst state-demo prüfen, dann play starten.

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.