An agent should provide comprehensive evidence to ensure transparency and explainability, allowing for verification and trust-building. This evidence should primarily include detailed logs of its internal states and processes, showing the exact steps taken, timestamped actions, and any environmental observations made. Furthermore, it's crucial to present the agent's reasoning process, illustrating the intermediate thoughts, decision-making algorithms, and evaluation criteria that led to its final action. Evidence should also encompass records of external API calls or system interactions, along with their responses, and the ultimate impact or outcome of the action in the target environment. Ultimately, this collected evidence forms a verifiable trail, enabling auditing, debugging, and continuous improvement of the agent's behavior and performance. More details: https://agentura-hermes.cz/engine/go.php?url=https://infoguide.com.ua