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Building a Basic AI Agent: Security II

Learn about using Docker sandbox and prompt-injection defenses to close security gaps in your AI agent.

This section focuses on closing security gaps in the AI agent. By utilizing a Docker sandbox, we ensure that commands can only access the project directory. Additionally, prompt-injection defenses are added to prevent the model from treating tool output as instructions, and every tool input will be validated against its schema before execution.

This synthesis was produced from its source by AI; there is no human editor or manual review step. How we work