Skip to main content

Guardrails CLI for scanning repositories

Project description

Topcoder Guardrails

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:

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

guardrails_cli-0.1.27.tar.gz (12.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

guardrails_cli-0.1.27-py3-none-any.whl (12.3 kB view details)

Uploaded Python 3

File details

Details for the file guardrails_cli-0.1.27.tar.gz.

File metadata

  • Download URL: guardrails_cli-0.1.27.tar.gz
  • Upload date:
  • Size: 12.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for guardrails_cli-0.1.27.tar.gz
Algorithm Hash digest
SHA256 ab84cbabc29c050d8256cc0f8e63e84be83d6dce7be7f0826698669fbbf07d34
MD5 0dc6a733d75a2f74331723c854137faf
BLAKE2b-256 72dcf1451cd85a574234fc7b44d4f42364e4b433049fe73ab8c9f62303eb2b1d

See more details on using hashes here.

File details

Details for the file guardrails_cli-0.1.27-py3-none-any.whl.

File metadata

File hashes

Hashes for guardrails_cli-0.1.27-py3-none-any.whl
Algorithm Hash digest
SHA256 26f85d4ae3340484766dbfef4c0afd7d0763452d739ef60f484646ef7990f62d
MD5 7cc49b530df34d0f2dac896ee583240e
BLAKE2b-256 726be42bd8d02b4016a25f09b801827647fe1a0d2d6adc81b7b41e19715b208b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page