LangChain - AgentsWhich of the following is the correct syntax to initialize a ReAct agent with tools in LangChain?Aagent = create_react_agent(llm, tools)Bagent = Agent(tools, llm, type='react')Cagent = initialize_agent(tools, llm, agent_type='react')Dagent = ReactAgent(llm, tools)Check Answer
Step-by-Step SolutionSolution:Step 1: Recall LangChain's agent initialization patternLangChain uses initialize_agent() with tools, llm, and agent_type parameters.Step 2: Match options to this patternOnly agent = initialize_agent(tools, llm, agent_type='react') matches the correct function and parameter names.Final Answer:agent = initialize_agent(tools, llm, agent_type='react') -> Option CQuick Check:Correct syntax uses initialize_agent() with agent_type='react' [OK]Quick Trick: Use initialize_agent() with agent_type='react' [OK]Common Mistakes:MISTAKESUsing wrong function namesSwapping tools and llm orderMissing agent_type parameter
Master "Agents" in LangChain9 interactive learning modes - each teaches the same concept differentlyLearnWhyDeepVisualTryChallengeProjectRecallPerf
More LangChain Quizzes Evaluation and Testing - Custom evaluation metrics - Quiz 13medium LangChain Agents - Why agents add autonomy to LLM apps - Quiz 12easy LangChain Agents - OpenAI functions agent - Quiz 11easy LangGraph for Stateful Agents - Conditional routing in graphs - Quiz 10hard LangGraph for Stateful Agents - Conditional routing in graphs - Quiz 4medium LangGraph for Stateful Agents - Graph nodes and edges - Quiz 15hard LangGraph for Stateful Agents - Why LangGraph handles complex agent flows - Quiz 1easy LangSmith Observability - Setting up LangSmith tracing - Quiz 14medium LangSmith Observability - Setting up LangSmith tracing - Quiz 9hard LangSmith Observability - Feedback collection and annotation - Quiz 4medium