secure-ai-toolset 0.1.1

python toolset to secure AI agents with secret provisioning, authentication, call monitoring and authorization

AI Security Toolset - A toolset repository for AI agents

Overview

This toolset is intended for AI agents builders, to simplify your work, and reduce the level of boilerplate code you need to write.

Features

Secured environment variables provisioning

This toolset can populate API keys and secrets as environment variables. The secrets are stored in your secret management of choice and are provisioned at runtime into your process memory.
The secrets can be populated and depopulated, for a specific context: Agent, Tool, HTTP call.

Currently supported secret providers:

• AWS Secret Manager
• CyberArk Conjur
• Local .env file (for development purposes)

However, this functionality is extensible, by implementing a SecretsProvider interface.

Example

For full, runnable examples, please see the examples directory.

...

from secure_ai_toolset.secrets.aws_secrets_manager_provider import AWSSecretsProvider
from secure_ai_toolset.secrets.environment_manager import EnvironmentVariablesManager


# Populate the environment variables from AWS Secrets Manager
@EnvironmentVariablesManager.set_env_vars(AWSSecretsProvider())
async def main() -> None:
    runtime = SingleThreadedAgentRuntime()
    tools: List[Tool] = [
        FunctionTool(get_stock_price, description='Get the stock price.')
    ]
    
    await ToolAgent.register(runtime, 'tool_executor_agent',
                             lambda: ToolAgent('tool executor agent', tools))

    await ToolUseAgent.register(
        runtime,
        'tool_use_agent',
        lambda: ToolUseAgent(
            AzureOpenAIChatCompletionClient(
                model='gpt-4o',
                azure_endpoint=os.getenv('AZURE_OPENAI_ENDPOINT'),
                azure_deployment='gpt-4o',
                api_version='2024-02-01',
                api_key=os.getenv('AZURE_OPENAI_KEY')),
            [tool.schema for tool in tools], 'tool_executor_agent'),
    )

    ...

Getting Started

1. Consume the toolset from pypi.
2. Follow one of our examples to see how to use the toolset.

pip

pip3 install secure-ai-toolset

poetry

poetry add secure-ai-toolset

Note: Please ensure you are using Poetry version >=2.1.1.

Contribution

Please make sure to read the CONTRIBUTING.md file if you want to contribute to this project.

Contact

Feel free to contact us via github issues. If there are any feature requests or issues in the project you may contact me through linkedin: Gil Adda