Prevent AI-Induced Version Downgrades#3005
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This change implements a deterministic validation layer and context-injection step to prevent AI agents from downgrading dependencies or modifying core runtime versions. Key changes: - Added `get_stack_versions()` to `dev-tools/utils.py` to extract ground-truth versions from the repo. - Injected current stack versions into AI prompts in `ai_service.py` and `ai_reviewer.py` for factual grounding. - Created `dev-tools/verify_versions.py` to parse diffs and detect version downgrades/hard-blocks. - Implemented hard blocks on Node.js version modifications in `scripts/check-runtime.mjs` and `scripts/check-runtime-files.mjs` (overridable via ALLOW_NODE_VERSION_CHANGE=true). - Integrated version verification into `td_cli.py` (`td gh verify-versions`) and `Orchestrator.pre_submit_checks`. - Added post-processing to `AIClient.resolve_file_conflicts` to reject resolutions containing version violations. - Added comprehensive unit tests in `tests/dev-tools/test_version_protection.py`.
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🚀 Deployment Details (Last updated: Jun 26, 2026, 4:26 PM PST) 🚀 Pushed to gh-pages; publish in progress
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Reviewing: PR #3005 Code Review Feedback[ARCHITECTURE] ReviewError: failed to execute ARCHITECTURE review. Details: [GoogleGenerativeAI Error]: Error fetching from https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:generateContent: [429 Too Many Requests] Your project has exceeded its monthly spending cap. Please go to AI Studio at https://ai.studio/spend to manage your project spend cap. Learn more at https://ai.google.dev/gemini-api/docs/billing#project-spend-caps. [PERFORMANCE] ReviewError: failed to execute PERFORMANCE review. Details: [GoogleGenerativeAI Error]: Error fetching from https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:generateContent: [429 Too Many Requests] Your project has exceeded its monthly spending cap. Please go to AI Studio at https://ai.studio/spend to manage your project spend cap. Learn more at https://ai.google.dev/gemini-api/docs/billing#project-spend-caps. [SECURITY] ReviewError: failed to execute SECURITY review. Details: [GoogleGenerativeAI Error]: Error fetching from https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:generateContent: [429 Too Many Requests] Your project has exceeded its monthly spending cap. Please go to AI Studio at https://ai.studio/spend to manage your project spend cap. Learn more at https://ai.google.dev/gemini-api/docs/billing#project-spend-caps. [STYLE] ReviewError: failed to execute STYLE review. Details: [GoogleGenerativeAI Error]: Error fetching from https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:generateContent: [429 Too Many Requests] Your project has exceeded its monthly spending cap. Please go to AI Studio at https://ai.studio/spend to manage your project spend cap. Learn more at https://ai.google.dev/gemini-api/docs/billing#project-spend-caps. Generated by gemini-code-review |
🐙 GitHub Models Code Review
Reviewing: PR #3005 Model: gpt-4o Code Review Feedback[ARCHITECTURE] ReviewError: failed to execute ARCHITECTURE review. Details: GitHub Models API error: 429 Too Many Requests - {"error":{"code":"RateLimitReached","message":"Rate limit of 2 per 0s exceeded for UserConcurrentRequests. Please wait 0 seconds before retrying.","details":"Rate limit of 2 per 0s exceeded for UserConcurrentRequests. Please wait 0 seconds before retrying."}} [PERFORMANCE] ReviewReview SummaryThis PR introduces a multi-layered defense mechanism against AI-induced version downgrades. It includes changes to several files, such as High Severity IssuesIssue 1: Missing Error Handling for
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This change implements a deterministic validation layer and context-injection step to prevent AI agents from downgrading dependencies or modifying core runtime versions. Key changes: - Added `get_stack_versions()` to `dev-tools/utils.py` to extract ground-truth versions from the repo. - Injected current stack versions into AI prompts in `ai_service.py` and `ai_reviewer.py` for factual grounding, with robust error handling. - Created `dev-tools/verify_versions.py` to parse diffs and detect version downgrades/hard-blocks, supporting both standard and synthesized diffs. - Implemented hard blocks on Node.js version modifications in `scripts/check-runtime.mjs` and `scripts/check-runtime-files.mjs` (overridable via ALLOW_NODE_VERSION_CHANGE=true). - Integrated version verification into `td_cli.py` (`td gh verify-versions`) and `Orchestrator.pre_submit_checks`. - Added post-processing to `AIClient.resolve_file_conflicts` to reject resolutions containing version violations using synthesized diff validation. - Added comprehensive unit tests in `tests/dev-tools/test_version_protection.py`. - Updated `dev-tools/pyproject.toml` with `packaging` dependency and version constraints.
This change implements a deterministic validation layer and context-injection step to prevent AI agents from downgrading dependencies or modifying core runtime versions. Key improvements: - Robust version extraction using a "highest version found" heuristic for GitHub Actions. - Deterministic diff parsing in `verify_versions.py` that correctly correlates removals and additions. - Scalable CLI implementation using temporary files for large diffs. - Multi-layered defense: prompt grounding, CI validation, and overridable hard runtime blocks. - Autonomous guardrails for AI-generated conflict resolutions. - Comprehensive test coverage.
This change implements a deterministic validation layer and context-injection step to prevent AI agents from downgrading dependencies or modifying core runtime versions. Key improvements: - Live version querying: `get_stack_versions(fetch_latest=True)` now queries npm/GitHub registries to provide absolute latest versions to AI models. - Robust version extraction: Uses a "highest version found" heuristic for GitHub Actions across all workflows. - Scalable CLI: Passes diffs via temporary files to avoid OS command-line length limits. - Accurate Diff Parsing: Fixed correlation logic in `verify_versions.py` to correctly handle multi-line version updates. - Hard Runtime Blocks: Node.js version modifications are strictly locked unless explicitly overridden via ALLOW_NODE_VERSION_CHANGE. - Autonomous Guardrails: AI resolutions are automatically rejected if they introduce version regressions. - Comprehensive Test Suite: New tests cover synthesized diffs, sensitive file filtering, and multi-line correlation.
🤖 AI Technical AuditANTI-AI-SLOPThis PR introduces a robust, multi-layered defense against AI-induced version downgrades, a critical issue for maintaining the stability and security of our tech stack. The solution covers context grounding for AI models, deterministic validation during PRs, strict hard locks, and autonomous guards for AI-generated conflict resolutions. The architecture is well-thought-out, addressing the problem from multiple angles. There are no signs of AI slop. The code is concise, focused, and directly addresses the problem. The test coverage for the new Minor Points:
FINAL RECOMMENDATIONApproved with Minor Changes DEFINITION OF DONEThe only blocking issue is a circular import dependency that should be refactored for better modularity and robustness. Once this is addressed, the PR can be approved. Review automatically published via RepoAuditor. |
This change implements a deterministic validation layer and context-injection step to prevent AI agents from downgrading dependencies or modifying core runtime versions. Key improvements: - Live version querying: `get_stack_versions(fetch_latest=True)` now queries npm/GitHub registries to provide absolute latest versions to AI models. - Robust version extraction: Uses a "highest version found" heuristic for GitHub Actions across all workflows. - Scalable CLI: Passes diffs via temporary files to avoid OS command-line length limits. - Accurate Diff Parsing: Re-implemented correlation logic in `verify_versions.py` to correctly handle multi-line version updates. - Modular Design: Consolidated version querying and comparison logic into `utils.py` to resolve circular dependencies. - Hard Runtime Blocks: Node.js version modifications are strictly locked unless explicitly overridden via ALLOW_NODE_VERSION_CHANGE. - Autonomous Guardrails: AI resolutions are automatically validated and rejected if they introduce version regressions. - Comprehensive Test Suite: New tests cover synthesized diffs, sensitive file filtering, and multi-line correlation.
This change implements a deterministic validation layer and context-injection step to prevent AI agents from downgrading dependencies or modifying core runtime versions. Key improvements: - Live version querying: `get_stack_versions(fetch_latest=True)` now queries npm/GitHub/Node.js registries to provide absolute latest versions to AI models. - Robust version extraction: Uses a "highest version found" heuristic for GitHub Actions across all workflows. - Scalable CLI: Passes diffs via temporary files to avoid OS command-line length limits. - Accurate Diff Parsing: Re-implemented correlation logic in `verify_versions.py` to correctly handle multi-line version updates. - Modular Design: Consolidated version querying and comparison logic into `version_utils.py` to resolve circular dependencies and improve maintainability. - Hard Runtime Blocks: Node.js version modifications are strictly locked unless explicitly overridden via ALLOW_NODE_VERSION_CHANGE. - Autonomous Guardrails: AI resolutions are automatically validated and rejected if they introduce version regressions. - Comprehensive Test Suite: New tests cover synthesized diffs, sensitive file filtering, and multi-line correlation.
Implemented a multi-layered defense against Knowledge Cutoff Regression:
verify_versions.pyscript compares proposed changes against HEAD and external registries (npm/GitHub).Fixes #3003
PR created automatically by Jules for task 2113600157740646610 started by @arii