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Agentic AI – Interview Questions Set-3
Agentic AI – Interview Questions Set-3
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Agentic AI – Interview Questions Set-2
Agentic AI – Interview Questions Set-2
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AgenticAI – Explain Me About ReAct Reasoning Pattern.
Agentic AI – ReAct Reasoning Pattern (1) What Is React Reasoning Pattern ? (2) Examples Of React Reasoning Pattern ? (3) Real Life Analogy Of React Reasoning Pattern ? (4) ReAct Vs Normal LLM (2) How A Normal LLM Answers This What Is The Weather In Bhubaneswar Today? (3) The ReAct Agent can also guess the weather what is the guaranty thet it will think of calling a weather app, because internally it uses a llm only (4) How Does Agents Work So Well Beside LLM Can Produce Incorrect Reasoning?
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AgenticAI – Interview Question Set-1
Agentic AI – Interview Questions Set-1
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Agentic AI – What Are Major Components Of Agentic AI?
AgenticAI – What Are The Major Components Of Agentic AI ?
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EAP – How Agent Graph Is Being Implemented ?
EAP – How Build Agentic Workflow? app/api/routes.py from uuid import uuid4 from fastapi import APIRouter, Depends from app.api.dependencies import get_agent_graph, get_memory from app.core.config import get_settings from app.middleware.auth import require_user from app.schemas.chat import ChatRequest, ChatResponse from app.schemas.incident import IncidentCreate from app.schemas.response import HealthResponse from app.tools.incident_tools import create_incident router = APIRouter() @router.get("/health", response_model=HealthResponse) async def health(): settings = get_settings() return HealthResponse(status="ok", environment=settings.app_env) @router.post("/v1/chat", response_model=ChatResponse) async def chat(request: ChatRequest, user: dict = Depends(require_user)): conversation_id = request.conversation_id or str(uuid4()) memory = get_memory() memory.add(conversation_id, "user", request.message) result = await get_agent_graph().ainvoke({"message": request.message, "conversation_id": conversation_id}) memory.add(conversation_id, "assistant", result["answer"]) return ChatResponse(answer=result["answer"], conversation_id=conversation_id, intent=result["intent"], sources=result.get("sources", [])) @router.post("/v1/incidents") async def
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EAP – How You Have Implemented Conversational Memory ?
EAP – How You Handle Conversation Memory? Table Of Contents: app/api/routes.py from uuid import uuid4 from fastapi import APIRouter, Depends from app.api.dependencies import get_agent_graph, get_memory from app.core.config import get_settings from app.middleware.auth import require_user from app.schemas.chat import ChatRequest, ChatResponse from app.schemas.incident import IncidentCreate from app.schemas.response import HealthResponse from app.tools.incident_tools import create_incident router = APIRouter() @router.get("/health", response_model=HealthResponse) async def health(): settings = get_settings() return HealthResponse(status="ok", environment=settings.app_env) @router.post("/v1/chat", response_model=ChatResponse) async def chat(request: ChatRequest, user: dict = Depends(require_user)): conversation_id = request.conversation_id or str(uuid4()) memory = get_memory() memory.add(conversation_id, "user", request.message) result = await get_agent_graph().ainvoke({"message": request.message, "conversation_id": conversation_id}) memory.add(conversation_id, "assistant", result["answer"]) return ChatResponse(answer=result["answer"], conversation_id=conversation_id, intent=result["intent"], sources=result.get("sources",
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EAP – How You Handle Conversation ?
EAP – How You Handle Conversation? Table Of Contents: from uuid import uuid4 from fastapi import APIRouter, Depends from app.api.dependencies import get_agent_graph, get_memory from app.core.config import get_settings from app.middleware.auth import require_user from app.schemas.chat import ChatRequest, ChatResponse from app.schemas.incident import IncidentCreate from app.schemas.response import HealthResponse from app.tools.incident_tools import create_incident router = APIRouter() @router.get("/health", response_model=HealthResponse) async def health(): settings = get_settings() return HealthResponse(status="ok", environment=settings.app_env) @router.post("/v1/chat", response_model=ChatResponse) async def chat(request: ChatRequest, user: dict = Depends(require_user)): conversation_id = request.conversation_id or str(uuid4()) memory = get_memory() memory.add(conversation_id, "user", request.message) result = await get_agent_graph().ainvoke({"message": request.message, "conversation_id": conversation_id}) memory.add(conversation_id, "assistant", result["answer"]) return ChatResponse(answer=result["answer"], conversation_id=conversation_id, intent=result["intent"], sources=result.get("sources", [])) @router.post("/v1/incidents")
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FastAPI – What Is “HttpBearer()” ?
FastAPI – What Is “HTTPBearer()” ? Table Of Contents: What Is HTTPBearer ? How User Request Auth Happens ? What Is The Meaning Of Bearer ? Without HTTPBearer How We Have To Extract Token ? (1) What Is HTTPBearer ? (2) How User Request Auth Happens ? (3) What Is The Meaning Of Bearer ? (4) Without HTTPBearer How We Have To Extract Token ?
