lintsinghua 8938a8a3c9 feat(agent): enhance agent functionality with LLM-driven decision-making and event handling ... - 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.		2025-12-11 21:14:32 +08:00
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agents	feat(agent): enhance agent functionality with LLM-driven decision-making and event handling	2025-12-11 21:14:32 +08:00
graph	feat(agent): enhance agent functionality with LLM-driven decision-making and event handling	2025-12-11 21:14:32 +08:00
prompts	feat(agent): implement Agent audit module with LangGraph integration	2025-12-11 19:09:10 +08:00
streaming	feat(agent): enhance agent functionality with LLM-driven decision-making and event handling	2025-12-11 21:14:32 +08:00
tools	feat(agent): implement streaming support for agent events and enhance UI components	2025-12-11 20:33:46 +08:00
__init__.py	feat(agent): implement Agent audit module with LangGraph integration	2025-12-11 19:09:10 +08:00
event_manager.py	feat(agent): enhance agent functionality with LLM-driven decision-making and event handling	2025-12-11 21:14:32 +08:00