README.md

---
license: gpl-3.0
tags:
- python
- governance
- ast
- deterministic
- code-governance
pretty_name: CodeTruth Agent V2 Evaluation
---

# CodeTruth Agent V2

## Deterministic Pre-Modification Governance Layer for Python Code Changes

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20569647.svg)](https://doi.org/10.5281/zenodo.20569647)
[![License](https://img.shields.io/badge/License-GPLv3-green)](https://github.com/Zeeshan78699/CodeTruthAgent/blob/main/LICENSE)
[![GitHub](https://img.shields.io/badge/GitHub-CodeTruthAgent-blue)](https://github.com/Zeeshan78699/CodeTruthAgent)

---

## Overview

CodeTruth Agent V2 is an open-source deterministic governance layer that analyzes candidate Python function pairs using semantic similarity and behavioral analysis, and produces SAFE, REVIEW, or BLOCK governance decisions before repository modification is attempted.

**No LLM in the decision path. Fully deterministic. Fully reproducible.**

---

## The Problem

AI coding agents generate and apply code changes autonomously. They do not pause to check whether a function that looks similar actually does something completely different.

`rollback()` and `get_rollback()` have a semantic score of 0.95.
One performs database recovery. The other reads a boolean flag.
An autonomous agent cannot detect this distinction from names or embeddings alone.

V2 catches it through behavioral analysis — before the patch reaches the repository.

---

## How It Works

```
Repository Scan
→ Candidate Selection
→ Semantic Analysis (sentence-transformers/all-MiniLM-L6-v2)
→ Behavioral Analysis (AST-based, 10 operation categories)
→ Multi-Signal Fusion
→ Governance Decision: SAFE / REVIEW / BLOCK / FREEZE_PATCH
→ Human Approval
→ Safe Application
```

---

## Governance Decisions

| Decision | Meaning |
|----------|---------|
| SAFE | Low risk — AUTO_APPLY recommended |
| REVIEW | Medium/High risk — human approval required |
| BLOCK | Critical risk — individual approval required |
| FREEZE_PATCH | Opposing behavior detected — mandatory human review |

**V2 recommends governance actions. It does not modify files autonomously.**

---

## Evaluation Results

Evaluated on 8 open-source Python repositories:

| Repository | Files | Gov Findings | Gov BLOCKs | Pairs | Pipeline BLOCKs | Opposing | Errors |
|------------|-------|-------------|-----------|-------|----------------|---------|--------|
| Flask Tutorial | 9 | 2 | 0 | 4 | 0 | 0 | 0 |
| Click | 60 | 3 | 1 | 25 | 3 | 0 | 0 |
| HTTPX | 60 | 0 | 0 | 25 | 3 | 0 | 0 |
| Flask (Full) | 83 | 4 | 2 | 25 | 8 | 0 | 0 |
| DRF | 154 | 2 | 1 | 50 | 24 | 0 | 0 |
| Rich | 213 | 14 | 4 | 37 | 9 | 0 | 0 |
| Django | 2,917 | 68 | 16 | 100 | 55 | 0 | 0 |
| Transformers | 4,426 | 296 | 76 | 1,000 | 464 | 4 | 0 |
| **Total** | **7,862** | **386** | **99** | **1,241** | **563** | **4** | **0** |

**Zero pipeline errors across 1,241 function-pair analyses.**

---

## Precision Audit

14-pair BLOCK precision audit:

| Category | Count | Proportion |
|----------|-------|-----------|
| Governance-significant (GENUINE) | 6 | 60% |
| Family-pattern noise (NOISE_FAMILY) | 3 | 30% |
| Embedding limitation (NOISE_EMBEDDING) | 1 | 10% |

All 4 opposing-behavior detections confirmed GENUINE.

---

## Star Example — Opposing Behavior Detection

```
update_version_in_file vs update_version_in_examples
Semantic score: 0.70 — names look related
Tags A: FILE_READ, FILE_WRITE, STATE_MUTATION
Tags B: DELETE_OPERATION
Action: FREEZE_PATCH (CRITICAL)
```

One function rewrites files. The other deletes content.
Semantic similarity alone would not catch this.
V2 catches it through behavioral opposition detection.

---

## Dataset Contents

This dataset contains the full evaluation reports from the 8-repository evaluation:

- `tutorial_report.json` — Flask Tutorial evaluation
- `click_report.json` — Click evaluation
- `httpx_report.json` — HTTPX evaluation
- `flask_report.json` — Flask (Full) evaluation
- `drf_report.json` — Django REST Framework evaluation
- `rich_report.json` — Rich evaluation
- `django_report.json` — Django evaluation
- `transformers_report.json` — Hugging Face Transformers evaluation

All reports include full decision pipeline results, governance findings, and opposing-behavior detections for independent verification.

---

## Reproduce the Evaluation

```python
import json
import random

with open('transformers_report.json') as f:
    data = json.load(f)

# Reproduce Group B precision audit sample
blocks = [r for r in data['decision_pipeline_results']
          if r['fusion_decision'] == 'BLOCK']
random.seed(20260603)
group_b = random.sample(blocks, 5)

# Get all opposing detections
group_c = [r for r in data['decision_pipeline_results']
           if r['fusion_opposing_detected']]
# Returns exactly 4 pairs
```

---

## Known Limitations

- **Single-reviewer audit** — 14 pairs, wide confidence interval
- **Python-only** — AST parser is Python-specific
- **V1 25-file sampling cap** — V1-driven extraction did not activate in evaluation
- **NOISE_FAMILY 30%** — token-overlap on naming families generates combinatorial noise
- **No patch generation** — V2 decides only, does not generate patches (V3 scope)
- **No interactive HITL UI** — programmatic API only (V3 scope)

---

## Citation

```bibtex
@software{codetruth_v2_2026,
  author = {Saud, Zeeshan},
  title = {CodeTruth Agent V2: A Deterministic Pre-Modification Governance Layer for Python Code Changes},
  year = {2026},
  doi = {10.5281/zenodo.20569647},
  url = {https://doi.org/10.5281/zenodo.20569647}
}
```

---

## Links

- **GitHub:** https://github.com/Zeeshan78699/CodeTruthAgent
- **Zenodo DOI:** https://doi.org/10.5281/zenodo.20569647

---

## Author

**Zeeshan Saud** — Independent Researcher, UAE
zeeshansaud786@gmail.com

---

## License

GPLv3 — see [LICENSE](https://github.com/Zeeshan78699/CodeTruthAgent/blob/main/LICENSE)