- Introduce LLM-driven decision-making across various agents, allowing for dynamic adjustments based on real-time analysis.
- Implement new event types for LLM thinking, decisions, actions, and observations to enrich the event streaming experience.
- Update agent task responses to include additional metrics for better tracking of task progress and outcomes.
- Refactor UI components to highlight LLM-related events and improve user interaction during audits.
- Enhance API endpoints to support new event structures and improve overall error handling.
- Introduce streaming capabilities for agent events, allowing real-time updates during audits.
- Add new hooks for managing agent stream events in React components.
- Enhance the AgentAudit page to display LLM thinking processes and tool call details in real-time.
- Update API endpoints to support streaming event data and improve error handling.
- Refactor UI components for better organization and user experience during audits.
- Rename 'finished_at' to 'completed_at' in AgentTaskResponse and related functions for clarity.
- Introduce 'RUNNING' status in AgentTaskStatus to better represent task states.
- Update task configuration handling in AgentRunner to improve initialization logic.
- Enhance UI to reflect new 'RUNNING' and 'REPORTING' statuses in the AgentAudit component.
- Rename 'metadata' columns to 'event_metadata' and 'finding_metadata' for clarity in database schema.
- Update AgentRunner to construct task configuration from task fields, ensuring default values are applied.
- Improve UI to handle potential null values for progress percentage and security score, enhancing user experience.
- Introduce new Agent audit functionality for autonomous code security analysis and vulnerability verification.
- Add API endpoints for managing Agent tasks and configurations.
- Implement UI components for Agent mode selection and embedding model configuration.
- Enhance the overall architecture with a focus on RAG (Retrieval-Augmented Generation) for improved code semantic search.
- Create a sandbox environment for secure execution of vulnerability tests.
- Update documentation to include details on the new Agent audit features and usage instructions.
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