How zeynbabid246-beep/agentai-llm works
Smart Agent API is a browser-based conversational assistant. A user submits a message through the chat UI; the FastAPI endpoint invokes the LangChain executor, which uses Gemini to answer or select a tool, then returns the response for display. Tool-backed capabilities include web search, Wikipedia lookup, and calculation; ordinary conversation is handled by the model. The graph reflects sampled backend and frontend code; external service calls are inferred from the documented tools and their implementations.
Main entry points: agent.py Agent executor · script.js Chat UI · tools.py Tool setup · main.py Chat endpoint
Components 13
Chat client
- Chat UI
AgentAI-guide-main/frontend/script.js
API service
- Chat endpoint
AgentAI-guide-main/Backend/main.py
Agent runtime
- Agent executor
AgentAI-guide-main/Backend/agent.py - ReAct agent
AgentAI-guide-main/Backend/agent.py - Gemini model
AgentAI-guide-main/Backend/agent.py
Agent tools
- Tool setup
AgentAI-guide-main/Backend/tools.py - Web search
AgentAI-guide-main/Backend/tools.py - Wikipedia lookup
AgentAI-guide-main/Backend/tools.py - Calculator
AgentAI-guide-main/Backend/tools.py
Other components
- User
- Google Gemini
- DuckDuckGo
- Wikipedia
Connections 17
- User → Chat UI: enters message
- Chat UI → Chat endpoint: POST message
- Chat endpoint → Agent executor: invokes
- Agent executor → ReAct agent: runs
- ReAct agent → Gemini model: requests completion
- Gemini model → Google Gemini: calls model
- Agent executor → Web search: dispatches
- Agent executor → Wikipedia lookup: dispatches
- Agent executor → Calculator: dispatches
- Tool setup → Web search: creates
- Tool setup → Wikipedia lookup: creates
- Tool setup → Calculator: creates
- Web search → DuckDuckGo: searches
- Wikipedia lookup → Wikipedia: queries
- Calculator → Gemini model: uses model
- Chat endpoint → Chat UI: returns response
- Chat UI → User: displays reply