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PraksisTHEORIA · POIESIS · PRAXIS
02 / APPLIED AI & SYSTEMS LAB

Multi-Agent Orchestration & MCP Verification Architecture

We place explicit deterministic gates between the probabilistic outputs of large language models and the strict integrity invariants of scientific and production systems.

◆ ARCHITECTURAL DEMONSTRATION · Disconnected from Live Production DatabasesThe interactive 5-node control graph below faithfully models Praksis's internal engineering governance pipeline; interacting with it executes zero mutations against live servers.

Migrating legacy hive records into the 16-table schema while preserving unmeasured fields as NULL rather than coercing them to zero (0).

INVARIANTS SATISFIED: All schema, permission, and build checks passed; artifact staged for human sign-off.
04 · Verification Gate — Node Responsibility

Validates the staged output using deterministic compilers and test suites (TypeScript strict check, schema validators, automated tests, HTTP/a11y checks) rather than LLM self-grading.

Structured Inputs
  • Staged artifact diff
  • Automated unit and integration test suite
Emitted Artifacts
  • Signed verification verdict (PASS / BLOCK)
  • Diagnostic trace report
Security & Permission Boundary

Non-bypassable deterministic gate; a single failing assertion locks downstream promotion.

Halts pipeline with 'BLOCKED_SCHEMA_VIOLATION' and disables Human Approval release controls.

Audit Payload Trace
{
  "pipeline": "colonyos-v1-to-v3.2",
  "target_env": "local-staging-isolated",
  "checks": {
    "colony_hive_decoupled": true,
    "null_preserved_not_zero": true,
    "append_only_triggers": "VERIFIED"
  },
  "gate_decision": "READY_FOR_HUMAN_REVIEW"
}