guardrails-cli 0.1.25

Guardrails CLI for scanning repositories

Topcoder Guardrails test2

Enterprise-grade guardrails for GitHub Copilot workflows: a FastAPI backend, GitHub App integration, and CLI that enforce security, policy, and licensing standards with explainable AI + static analysis.

Deployed URL

https://topcoder-production.up.railway.app

Quick start (hosted)

1. Open the deployed URL.
2. Go to /settings/ui.
3. Paste your OpenAI API key and save.
4. Create or update a PR in a repo where the GitHub App is installed. Guardrails posts comments/checks automatically.

That is all most users need.

What this delivers

• Hybrid analysis engine: rule-based static checks + AI review with explanations.
• Copilot awareness: stricter handling for AI-generated code paths.
• Policy-based enforcement: advisory, warning, blocking, with override label support.
• License/IP compliance: SPDX/license detection and duplication heuristics.
• GitHub PR + commit integration: check runs, inline comments, and summaries.
• Auditability: audit log export, resolution events, and dashboards.
• Extensible rulepacks: sector-specific YAML rulepacks and repo overrides.

Challenge requirement coverage

• Secure coding guardrails with OWASP/CWE mappings.
• Copilot-aware flagging and stricter enforcement for AI-generated code.
• Configurable coding standards via YAML/JSON repo config.
• AI-assisted PR review with explanations and suggested fixes (security, performance, maintainability).
• License/IP checks (restricted licenses + duplication heuristics).
• Policy-based enforcement modes (advisory, warning, blocking) with override support.
• PR and commit scanning via GitHub App (check runs + inline comments + summaries).
• Traceability with audit IDs, export, and resolution events.
• Async scan flow for large PRs.
• Pluggable rulepacks per industry (finance, healthcare, public sector, telecom, government) and custom uploads.

Architecture

• backend/ — FastAPI service, rule engine, AI review, audit logging
• github-app/ — GitHub App integration (PR + commit scanning)
• src/guardrails_cli/ — CLI package for local repo scans
• docs/ — Architecture notes

Security & data handling

• No source code retention beyond analysis. Audit logs store sanitized output only.
• Settings storage is encrypted when a key is configured.
• Data residency can be enforced via repo config + environment variable.

Requirements

CLI

• Python 3.9+

Configuration (backend)

Core settings:

• OPENAI_API_KEY (optional) — used when no per-user key exists
• GUARDRAILS_API_TOKEN (optional) — bearer token required for analysis/scan endpoints when set
• GUARDRAILS_ADMIN_TOKEN (optional) — bearer token required for admin endpoints (audit export, rulepack upload)
• SETTINGS_SCOPE (default: global) — global | user | ip
• SETTINGS_TOKEN (optional) — protects settings endpoints
• REQUIRE_AI_REVIEW_DEFAULT (default: false)

GitHub App integration

The GitHub App scans PRs and pushes, posts comments/checks, and reads repo overrides from .guardrails/config.yml|yaml|json.

Environment variables:

• BACKEND_URL (required)
• BACKEND_TOKEN (optional) — bearer token for secured backend endpoints
• OVERRIDE_LABEL (optional, default: guardrails-override)
• MAX_FILES (optional, default: 100)
• MAX_FILE_BYTES (optional, default: 200000)
• USE_ASYNC_SCAN (optional, default: false)

CLI usage

Install:

pip install guardrails-cli

Scan:

guardrails scan <repo-path> --user <token>
# Or, from inside your repo:
guardrails scan --user <token>

Before scanning, save your OpenAI API key in the hosted settings UI (/settings/ui). The CLI uses the hosted backend by default.

If the backend enforces API tokens:

guardrails scan <repo-path> --user <token> --api-token <backend-token>

Fix modes:

• Full fix (AI rewrite + safe fixes): guardrails scan --full-fix --user <token>
• Safe fix only: guardrails scan --safe-fix --user <token>
• No fixes: guardrails scan --no-fix --user <token>

Notes:

• Hosted URL: https://topcoder-production.up.railway.app
• Override with GUARDRAILS_API_URL or --api
• Use --autofix to apply safe local fixes
• Use --no-ai to disable AI review for a run

What users must do

• Provide their own OpenAI API key via /settings/ui (hosted).
• Install the CLI only if they want local scans.

CLI settings (optional)

guardrails settings --issue-user-token

API endpoints

• GET /health
• GET /
• GET /dashboard
• GET /settings
• POST /settings/token
• GET /settings/token/current
• POST /settings/token/assign
• GET /settings/ui
• POST /settings/api-key
• POST /settings/ai-mode
• POST /settings/autofix-mode
• POST /settings/override-allowed
• POST /analyze
• POST /analyze-batch
• POST /scan/async
• GET /scan/status/{job_id}
• GET /report/summary
• GET /report/trends
• GET /rulepacks
• POST /rulepacks
• GET /audit/export
• POST /audit/resolve
• GET /docs

Testing

pytest

• GET /report/summary — Audit summary counts