Tracing, logging and incident tooling with an optional Jev classification or triage step.
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This self-hosted trading stack covers Python strategies, backtests, paper trading, live execution and monitoring. Jev evaluates order, strategy, exposure, position and budget context, returning typed choices with probabilities for the entry filter.
OpenInference supplies conventions and instrumentation for tracing AI applications, including model calls, retrieval and external tools. Its TypeSafe integration records systemOne calls as spans with JSON inputs and outputs, model and token usage; examples cover Choice, Noul and Score.
DSCODE is a macOS coding agent whose terminal interface, CLI and scripts share a persistent session runtime. The repository includes a separate Jev client for OpenRouter’s alpha Decisions endpoint, supporting Choice, Score and Noul. Use sessions for editing, tests and agent handoffs; the Jev client requires an API key.
TypeSafe Mario is an experimental NES controller loop using emulator telemetry and RAM-derived game observations. With Python 3.13, a TypeSafe key and your local game setup, inspect state-demo before running the play command.
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.