Agentic Security provides a red teaming toolkit for evaluating the security of AI agents and LLM-based systems. It simulates multi-step jailbreak attacks, probes vulnerabilities across text, image, and audio inputs, and conducts comprehensive fuzz testing to identify weaknesses in safety mechanisms. The toolkit integrates with various LLM APIs for stress testing and serves as a security evaluation framework for developers building agentic applications.