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Aegotrax v0.2.6 — runtime tool-call gate for agents
aegotrax-dev/aegotrax · v0.2.6 · Development & Workflow
Aegotrax is a local pilot runtime that intercepts AI agent tool calls before they run and returns ALLOW / BLOCK / REQUIRE_APPROVAL with reasons and an audit log. Two setup paths: • Python SDK — verify_tool_call / @protected_tool from your own agent code • MCP Gateway — stdio gateway in front of MCP tool traffic Core controls (v0.2.6): host-declared session intent + scope, cumulative read budgets (optional session exhaust), sensitivity ceiling on outbound after sensitive reads, tool risk classes (unclassified → open_risk), human-approval queue with single-use resume, MCP schema pinning. Quick start: pip install . export AEGOTRAX_API_KEY=... aegotrax-engine curl http://127.0.0.1:8000/health python examples/read_budget_demo.py Local pilot limitations: • Not a production/enterprise control plane • Sessions and approval queue are in-memory • Policy is heuristic — tune policy.yaml; it will not catch everything • Do not expose port 8000 without a strong API key (set AEGOTRAX_REQUIRE_API_KEY=1 on shared hosts) • No full data-lineage taint or multi-instance shared state yet Repo: https://github.com/aegotrax-dev/aegotrax (tag v0.2.6) Site: https://aegotrax.com
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