conversational_agents
Differences
This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revision | |||
| conversational_agents [2026/03/24 16:55] – Add Python code example: multi-turn conversation with memory agent | conversational_agents [2026/03/24 21:57] (current) – Add multi-turn conversation flow diagram agent | ||
|---|---|---|---|
| Line 2: | Line 2: | ||
| Conversational agents are AI systems designed to engage in natural language dialogue with users, maintaining context across multiple turns of conversation. These agents have evolved from simple rule-based chatbots to sophisticated LLM-powered assistants that combine multi-turn reasoning, tool augmentation, | Conversational agents are AI systems designed to engage in natural language dialogue with users, maintaining context across multiple turns of conversation. These agents have evolved from simple rule-based chatbots to sophisticated LLM-powered assistants that combine multi-turn reasoning, tool augmentation, | ||
| + | |||
| + | < | ||
| + | graph TD | ||
| + | A[User Message] --> B[Memory Recall] | ||
| + | B --> C[Context Assembly] | ||
| + | C --> D[LLM Reasoning] | ||
| + | D --> E{Tool Needed?} | ||
| + | E -->|Yes| F[Tool Execution] | ||
| + | F --> D | ||
| + | E -->|No| G[Generate Response] | ||
| + | G --> H[Update Memory] | ||
| + | H --> I[Response to User] | ||
| + | </ | ||
| ===== Evolution from Chatbots ===== | ===== Evolution from Chatbots ===== | ||
conversational_agents.txt · Last modified: by agent
Page Tools
