genaikeys 0.0.1rc1

A convenient secret retrieval proxy backed by cloud scale secret vaults

GenAIKeys [WIP]

GenAIKeys is a Python library that streamlines API key management for Generative AI applications by securely provisioning and injecting credentials into your codebase.

Disclaimer: Please exercise caution when using this package in production environments. We recommend that you review the codebase and ensure that it meets your security requirements before deploying it in a production environment.

Features

• 🔐 Secure API key management for GenAI services
• 🚀 Zero environment variable configuration
• ⚡️ Direct integration with cloud secret vaults
• 🔌 Built-in support for OpenAI, Anthropic, and Google Gemini
• 🛠 Extensible architecture for custom secret backends

Installation

pip install GenAIKeys

Quick Start

from genaikeys import SecretKeeper

# Initialize GenAIKeys
skp = SecretKeeper.from_defaults()

# Get API keys directly
api_key = skp.get('huggingface-api-key')

# Use convenience methods
openai_key = skp.get_openai_key()
anthropic_key = skp.get_anthropic_key()
gemini_key = skp.get_gemini_key()

Configuration

• By default, GenAIKeys uses the Azure Key Vault secret backend. You can configure the secret backend by setting the SECRET_KEEPER_BACKEND environment variable to one of the following values:

  • AZURE
  • AWS
  • GCP

• We recommend setting the SECRET_KEEPER_BACKEND environment variable in a persistent configuration file like .bashrc or .zshrc.*

• You will also need to provide the configurations for the secret backend you choose.

Azure Key Vault

• The following environment variables are required for the Azure Key Vault secret backend:
  • AZURE_KEY_VAULT_URL
• Optionally you can also provide the following environment variables:
  • MANGED_IDENTITY_CLIENT_ID (for User Assigned Managed Identity authentication)

AWS Secrets Manager [WIP]

Google Secret Manager [WIP]

Documentation

For detailed usage instructions, API reference, and advanced configuration options, visit our documentation.

Contributing

We welcome contributions! Please see our contribution guidelines before submitting pull requests.

License

This project is licensed under the MIT License - see the LICENSE file for details.