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Published March 1, 2026 | Version v0.5.0
Software Open

VerifiMind-PEAS: Prompt Engineering Attribution System - Multi-Model AI Validation Framework

Authors/Creators

  • 1. VerifiMind Innovation Project
  • 2. VerifiMind Innovation Project - Strategic Agent (X Agent, CTO)
  • 3. VerifiMind Innovation Project - Implementation Agent

Contributors

  • 1. YSenseAI™ | 慧觉™

Description

VerifiMind PEAS v0.5.0 Foundation

The release that makes everything after it possible.

v0.5.0 Foundation is the structural hardening milestone that transforms VerifiMind PEAS from a working prototype into a production-grade validation engine. Every feature added after this release builds on an unbreakable foundation.

What's New in v0.5.0

SessionContext Tracing

  • Per-run session_id propagated through every function call
  • Complete request lifecycle tracing for debugging
  • Structured logging with session correlation

Error Handling v2

  • Unified build_error_response() with error codes
  • Structured error responses with session_id, error_code, details
  • Graceful degradation paths for all failure modes

Health Endpoint v2

  • /health returns richer diagnostics: uptime, version, model availability
  • Proactive health monitoring for BYOK and system models

BYOK Hardening

  • Retry logic with exponential backoff for transient API failures
  • Graceful degradation: falls back to system models when BYOK keys fail
  • Key validation on startup

Smithery Removal

  • Removed Smithery adapter dependency
  • Direct MCP protocol implementation
  • Cleaner architecture, fewer moving parts

Test Coverage

  • 205 automated tests (up from 175)
  • 55.1% coverage (up from 53.6%)
  • All 10 acceptance criteria met

Metrics

Metric Value
Tests 205
Coverage 55.1%
Z-Protocol Score 9.2/10
Development Days 87
Lines of Code 17,282+

Validation

  • Z-Protocol Approved (9.2/10)
  • All 10 Foundation acceptance criteria passed
  • Smoke test passed on GCP Cloud Run
  • Live Trinity validation: session_id 19e75902, score 8.7/10 — Proceed

Links

FLYWHEEL TEAM

  • L (Human Orchestrator): Direction, synthesis, final decisions
  • CTO RNA (Claude Code): Implementation, testing, deployment
  • CSO R (Manus AI): Strategy, public materials, landing page
  • COO AY (Antigravity): Metrics validation, operational reports

Defensive Publication

This release extends the defensive publication chain established in prior versions. The v0.5.0 Foundation milestone establishes prior art for:

  • SessionContext tracing architecture for multi-agent AI systems
  • Unified error hierarchy for AI validation frameworks
  • BYOK hardening patterns (retry, graceful degradation)
  • Health endpoint v2 diagnostics for AI service monitoring

All-versions DOI: 10.5281/zenodo.17616328

Notes

VerifiMind-PEAS (Prompt Engineering Attribution System) is a production-ready MCP server developed over 87 days using the Genesis Prompt Engineering Methodology v2.0. It provides comprehensive multi-model AI validation through four core tools: analyze_prompt, validate_response, detect_hallucinations, and suggest_improvements. The system integrates with multiple LLM providers (Anthropic, OpenAI, Google, Perplexity) to provide diverse validation perspectives. This release (v1.1.0) represents the culmination of systematic development with 98/100 code quality score, 100% test pass rate, and Smithery marketplace deployment readiness.

Files

creator35lwb-web/VerifiMind-PEAS-v0.5.0.zip

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Additional details

Related works

Is documented by
10.5281/zenodo.17972751 (DOI)
Is supplement to
https://github.com/creator35lwb-web/VerifiMind-PEAS (URL)

Software

Repository URL
https://github.com/creator35lwb-web/VerifiMind-PEAS

References