LLM Agent Core Architecture
LLM Agent framework consists of following core components:
- user request
- planning
- memory
- tools
To some extent, developing an agent in a certain field is to carefully design these components and tailor them to better fit our need.
Besides, we may also need engineering components, including sandbox, safety control, etc. But that’s kind of advanced topic.
Agent Loop
In fact, all agent have the same underlying logic as backbone, that is, agent loop.
graph LR;A[Perceive] --> B[Decide] --> C[Execute] --> D[Feedback] --> A
Deep Research Agent
Importance of Tool Use
Challenges include
- inconsistent tool calling formats
- error during tool calling
- poor generalization ability