infera 0.1.0

Agentic infrastructure provisioning from code analysis

Infera

Agentic infrastructure provisioning from code analysis. Infera analyzes your codebase, infers the optimal cloud architecture, and provisions resources automatically.

Features

• Intelligent Analysis: Detects frameworks (React, Vue, FastAPI, Django, etc.) and dependencies
• Best Practice Templates: Uses proven architecture patterns for different project types
• Cost Estimation: Shows per-resource and total monthly cost estimates
• Hybrid Execution: Uses cloud SDKs for simple resources, Terraform for complex setups
• Rollback on Failure: Atomic provisioning with automatic cleanup

Quick Setup

1. Install via pipx (recommended)

pipx install infera

Or with pip:

pip install infera

2. Set your Anthropic API key

export ANTHROPIC_API_KEY="your-api-key"

3. Configure your cloud provider

# For GCP
gcloud auth login
gcloud config set project YOUR_PROJECT_ID

4. Run infera

cd /path/to/your/project
infera init    # Analyze codebase and create config
infera plan    # Preview infrastructure and costs
infera apply   # Provision resources

Installation Options

pipx (isolated environment)

pipx install infera

pip (global)

pip install infera

From source (development)

git clone https://github.com/computer-reinvention/infera.git
cd infera
uv sync
uv run infera --help

Requirements

• Python 3.11+
• Google Cloud SDK (for GCP provider)
• ANTHROPIC_API_KEY environment variable

CLI Commands

Command	Description
infera init	Analyze codebase and create configuration
infera plan	Generate execution plan with cost estimate
infera apply	Provision infrastructure
infera destroy	Tear down all resources
infera status	Show current infrastructure state

Supported Architectures

• Static Site: React, Vue, Angular → Cloud Storage + CDN
• API Service: FastAPI, Flask, Express → Cloud Run
• Full Stack: Next.js, Django → Cloud Run + Cloud SQL
• Containerized: Dockerfile → Cloud Run from container

Configuration

After infera init, configuration is stored in .infera/config.yaml:

version: "1.0"
project_name: my-app
provider: gcp
region: us-central1

resources:
  - id: app
    type: cloud_run
    name: my-app
    config:
      image: gcr.io/my-project/my-app:latest
      memory: 512Mi
      min_instances: 0

Development

# Install dev dependencies
uv sync

# Run tests
uv run pytest

# Type checking
uv run pyright

# Format code
uv run ruff format .

License

MIT