Detail Agent

Agent Personality

The Agent Personality section displays the identity and behavioral configuration of the Agent. This section contains information such as the Agent's display name, unique Agent Key, status, default Agent configuration, and expertise summary. The expertise summary defines the Agent’s role, personality, communication style, and areas of expertise, which influence how the Agent responds during conversations and automated interactions.

Users can review this section to verify that the Agent's identity and behavioral settings have been configured correctly before the Agent is used in production environments.

Model & Budget

The Model & Budget section displays the AI model configuration used by the Agent. This section includes information about the selected AI provider, the model assigned to the Agent, budget limitation settings, context window size, and maximum tool iterations.

The selected provider and model determine how the Agent processes requests and generates responses. The Budget Limit setting can be used to control the Agent's monthly spending by restricting usage once the defined limit has been reached. The Context Window defines the maximum number of tokens that can be processed within a single context, while Max Tool Iterations specifies the maximum number of tool calls that the Agent can perform during a request.

Users can review this section to ensure that the Agent is configured with the appropriate AI model, resource limits, and operational settings according to their requirements.

Evolution

The Evolution section displays the Agent's communication style evolution settings. This feature allows the Agent to gradually adapt and improve its communication style, tone, and behavior over time based on accumulated interactions and knowledge stored in the SOUL.md file.

When enabled, the Agent can continuously refine its responses to better align with the intended personality, communication preferences, and usage context. This helps maintain more consistent and personalized interactions while allowing the Agent to evolve as new experiences and information are acquired.

Users can review this setting to determine whether the Agent should maintain a fixed communication style or be allowed to evolve dynamically over time.