AnarchKeyClient 2.0.0

A Client package to connect and retrieve api keys from vault serivce called AnarchKey

AnarchKey Client

The official Python SDK for AnarchKey, a secure secret management platform for developers.

AnarchKey lets you securely store API keys, tokens, passwords, and other secrets in the cloud, then retrieve them at runtime without hardcoding sensitive values into your applications.

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Features

• 🔐 Secure cloud-based secret management
• 🚀 Simple Python API
• 🛡️ Local device initialization for secure access
• 🔑 Retrieve secrets by name
• 💻 Lightweight with minimal dependencies
• ⚡ Works seamlessly in local development, CI/CD, and production

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Installation

Install the SDK from PyPI:

pip install AnarchKeyClient

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Getting Started

1. Create an AnarchKey account

Sign up at:

https://anarchkey.bytheseus.me

After creating an account, generate an Access Token from your dashboard.

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2. Initialize your machine

Run the initialization command once:

anarchkey init --username <YOUR_USERNAME> --password <YOUR_PASSWORD>

This securely stores a local initialization token inside:

~/.anarchkey

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3. Retrieve secrets

from AnarchKeyClient import AnarchKeyClient

client = AnarchKeyClient(
    api_key="YOUR_ACCESS_TOKEN"
)

database_url = client.get_api_key("DATABASE_URL")

print(database_url)

or, if you've added the alias:

secret = client.getApiKey("DATABASE_URL")

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Example

Suppose you have a secret named:

OPENAI_API_KEY

Retrieve it like this:

from AnarchKeyClient import AnarchKeyClient

client = AnarchKeyClient(
    api_key="ak_xxxxxxxxxxxxxxxxx"
)

openai_key = client.get_api_key("OPENAI_API_KEY")

No credentials are stored in your source code other than your access token.

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API

Create a client

client = AnarchKeyClient(
    api_key="YOUR_ACCESS_TOKEN"
)

Retrieve a secret

secret = client.get_api_key("SECRET_NAME")

Returns the secret value stored in your AnarchKey vault.

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Command Line

Initialize your machine:

anarchkey init --username YOUR_USERNAME --password YOUR_PASSWORD

This command only needs to be run once per machine.

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Requirements

• Python 3.8+
• requests

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License

MIT License