- 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. |
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|---|---|---|
| .. | ||
| agent | ||
| llm | ||
| rag | ||
| init_templates.py | ||
| report_generator.py | ||
| scanner.py | ||
| zip_storage.py | ||