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@phinq/phinq

v1.2.2

Published

The runtime checkpoint for AI agents — inspect every tool call, hold the irreversible for approval, keep verifiable evidence of human oversight.

Readme

phinq

The runtime checkpoint for AI agents. Phinq watches every action your agent or automation takes, pauses the risky ones until you approve (terminal, Telegram, or Slack), and keeps a tamper-evident record of everything — verifiable evidence of human oversight.

Two-minute start

npx @phinq/phinq

The setup wizard detects what you run (Claude Code, Codex, Gemini CLI, Hermes, MCP servers…), asks three plain-English questions, and prints the one line to paste. Then:

phinq start     # start the checkpoint
phinq watch     # live view of anything held

Your existing API key keeps working — Phinq passes it through and never stores or logs it. It starts in watch-only mode: nothing is blocked until you say so.

What you get

  • Every action classified by risk — deterministic rules, not another LLM. Deletes, credential access, payments, bulk sends, permission changes, runaway token burn.
  • Approve/Deny from wherever you are — terminal, Telegram, or Slack. No answer in time = auto-deny.
  • A record you can prove — hash-chained audit log; phinq report turns it into a human-oversight report (false-hold rate, damage prevented, token spend).
  • A checkpoint that learnsphinq learn turns your approve/deny history into cited policy proposals.
  • MCP gateway — wrap any MCP server: npm i -g @phinq/phinq then phinq-mcp --enforce -- <server command>.
  • Works with everything — four wire dialects (OpenAI Chat Completions incl. streaming, OpenAI Responses, Anthropic Messages, Gemini generateContent) cover Claude Code, Codex, Gemini CLI, Hermes, LangChain, CrewAI, Mastra, and any agent with a base URL. No base URL? Gate any action from any language: POST /phinq/gate {"name": "...", "arguments": {...}}{"allowed": true/false} — holds buzz your phone first.

Everything else

Full docs, configuration, the risk model, SDKs (TypeScript in-process + pip install phinq for Python), and the LiteLLM integration: phinq.co/docs · github.com/phinq-co/phinq

MIT licensed.