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Multi-agent architecture review system using AWS Bedrock

Project description

Architecture Review Sparring Partner

Multi-agent system for architecture reviews. Analyzes requirements documents, CloudFormation templates, architecture diagrams, and source code, then challenges architectural decisions through interactive sparring.

Features

  • 5-phase review process: Requirements → Architecture → Questions → Sparring → Final Review
  • Interactive sparring: Challenges architectural gaps and pushes back on weak justifications
  • Remediation mode: Discuss and resolve findings from previous reviews with session memory
  • CI/CD mode: Non-interactive automated reviews with structured output and exit codes
  • CDK support: Works with CloudFormation templates and CDK synthesized output (cdk.out/)
  • Multimodal analysis: Analyzes architecture diagrams (PNG, JPEG) via Bedrock
  • Full session export: Saves complete review session to markdown or JSON

Prerequisites

  • Python 3.11+
  • AWS credentials configured
  • Nova 2 Lite model access in Bedrock console

Installation

pip install arch-sparring-agent

Usage

Interactive Mode (Default)

arch-review \
    --documents-dir ./docs \
    --templates-dir ./templates \
    --diagrams-dir ./diagrams

Outputs to .arch-review/ folder. Previous reviews are automatically archived to .arch-review/history/.

With Source Code Analysis

arch-review \
    --documents-dir ./docs \
    --templates-dir ./cdk.out \
    --diagrams-dir ./diagrams \
    --source-dir ./src/lambdas

CI/CD Mode

# Non-interactive (no history archiving by default)
arch-review --ci \
    --documents-dir ./docs \
    --templates-dir ./cdk.out \
    --diagrams-dir ./diagrams

# JSON output for programmatic processing
arch-review --json \
    --documents-dir ./docs \
    --templates-dir ./templates \
    --diagrams-dir ./diagrams

# CI with history archiving
arch-review --ci --keep-history \
    --documents-dir ./docs \
    --templates-dir ./cdk.out \
    --diagrams-dir ./diagrams

Remediation Mode

After running a review, discuss and resolve findings:

arch-review --remediate
  • Loads gaps/risks from .arch-review/state.json
  • Continues conversations across sessions via memory
  • Saves notes to .arch-review/remediation-notes.md

Options

Option Description
--documents-dir Directory with markdown requirements/constraints
--templates-dir CloudFormation templates or cdk.out/ directory
--diagrams-dir Architecture diagrams (PNG, JPEG)
--source-dir Lambda/application source code (optional)
--output-dir Output directory (default: .arch-review)
--no-history Don't archive previous reviews (default in CI mode)
--keep-history Archive previous reviews even in CI mode
--no-state Don't save state file after review
--remediate Enter remediation mode
--no-remediation-output Don't save remediation notes
--ci CI/CD mode: non-interactive analysis
--json Output as JSON (implies --ci)
--strict Fail on any High impact risk (ignores verdict)
--skip-policy-check Skip policy engine setup (development only)
--model Bedrock model ID (default: Nova 2 Lite)
--region AWS region (default: eu-central-1)

Environment Variables

All options can be set via environment variables:

Variable Description
ARCH_REVIEW_DOCUMENTS_DIR Documents directory
ARCH_REVIEW_TEMPLATES_DIR Templates directory
ARCH_REVIEW_DIAGRAMS_DIR Diagrams directory
ARCH_REVIEW_SOURCE_DIR Source code directory
ARCH_REVIEW_OUTPUT_DIR Output directory
ARCH_REVIEW_MODEL Bedrock model ID
AWS_REGION AWS region
CI Enable CI mode (true/1/yes)

Exit Codes

Code Meaning
0 PASS or PASS WITH CONCERNS
1 FAIL (or --strict with High impact)
3 Error during execution

AWS Credentials

The tool uses the standard AWS credential chain.

Local Development

Configure credentials using any standard method:

# Option 1: AWS CLI profile
aws configure

# Option 2: Environment variables
export AWS_ACCESS_KEY_ID=...
export AWS_SECRET_ACCESS_KEY=...
export AWS_REGION=us-east-1

# Option 3: AWS SSO
aws sso login --profile my-profile
export AWS_PROFILE=my-profile

CI/CD Environments

Each platform has its own credential mechanism:

Platform Recommended Method Credential Source
GitHub OIDC IAM Identity Provider for GitHub
GitLab OIDC IAM Identity Provider for GitLab
AWS CodeBuild Service Role Attached IAM role (automatic)
Jenkins Instance Profile or Secrets EC2 role or credential plugin

Required IAM Permissions

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "bedrock:InvokeModel",
        "bedrock:ListFoundationModels",
        "bedrock-agentcore:*",
        "sts:GetCallerIdentity"
      ],
      "Resource": "*"
    }
  ]
}

CI/CD Integration

Example configurations are in examples/ci/.

GitHub Actions

Copy examples/ci/github-actions.yml to .github/workflows/arch-review.yml:

  • Supports OIDC (recommended) or static credentials
  • Comments results on PRs
  • Uploads review as artifact

GitLab CI

Copy examples/ci/gitlab-ci.yml to .gitlab-ci.yml:

  • Supports OIDC or CI/CD variables
  • Runs on merge requests
  • Optional JSON output job

AWS CodeBuild

Copy examples/ci/aws-codebuild.yml to buildspec.yml:

  • Uses CodeBuild service role automatically
  • No credential configuration needed
  • Works with CodePipeline

Review Phases

  1. Requirements Analysis: Extracts requirements, constraints, and NFRs from documents
  2. Architecture Analysis: Analyzes CloudFormation templates and diagrams
  3. Clarifying Questions (interactive) / Gap Identification (CI): Gathers context or identifies unknowns
  4. Sparring (interactive) / Risk Analysis (CI): Challenges decisions or lists risks
  5. Final Review: Produces structured review with gaps, risks, recommendations

Input Formats

Documents

Markdown files with requirements, constraints, NFRs, ADRs. No specific format required.

Templates

  • CloudFormation: .yaml, .yml, .json
  • CDK: Point to cdk.out/ directory

Diagrams

  • PNG, JPEG images
  • Export draw.io files to PNG/JPEG first

Project Structure

arch_sparring_agent/
├── agents/
│   ├── requirements_agent.py  # Phase 1: Document analysis
│   ├── architecture_agent.py  # Phase 2: Template/diagram analysis
│   ├── question_agent.py      # Phase 3: Interactive questions
│   ├── sparring_agent.py      # Phase 4: Interactive sparring
│   ├── ci_agents.py           # Phase 3-4: CI/CD non-interactive
│   ├── review_agent.py        # Phase 5: Final review
│   └── remediation_agent.py   # Remediation mode discussions
├── tools/
│   ├── document_parser.py     # Markdown file reader
│   ├── cfn_analyzer.py        # CloudFormation template reader
│   ├── diagram_analyzer.py    # Diagram analysis via Bedrock
│   └── source_analyzer.py     # Lambda/application source code reader
├── orchestrator.py            # Phase orchestration
├── config.py                  # AWS/Bedrock configuration
├── context_condenser.py       # Handles large inputs
├── state.py                   # Review state persistence
└── cli.py                     # CLI entry point
examples/ci/
├── github-actions.yml         # GitHub Actions example
├── gitlab-ci.yml              # GitLab CI example
└── aws-codebuild.yml          # AWS CodeBuild example

Development

uv sync                    # Install dependencies
uv run ruff format .       # Format code
uv run ruff check .        # Lint code

Policy Engine

The tool automatically creates and configures a full policy enforcement stack for security:

  1. Creates a Gateway ("ArchReviewGateway") or uses an existing one
  2. Creates a Policy Engine ("ArchReviewPolicyEngine") or uses an existing one
  3. Creates Cedar policies restricting each agent to specific tools:
    • RequirementsAnalyst: Only document reading tools
    • ArchitectureEvaluator: Only CFN/diagram reading tools
    • DefaultDeny: Blocks unknown agents
  4. Associates the Gateway with the Policy Engine for enforcement

Technical Details

  • Model: Nova 2 Lite (300K context, multimodal)
  • Framework: AWS Strands SDK
  • Region: eu-central-1 (configurable)
  • Policy Engine: AgentCore Policy Engine for tool access control

References

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