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To build a Langchain agent that autonomously answers questions, performs calculations, and searches the web, which design best leverages autonomy?

hard📝 Application Q8 of 15
LangChain - Agents
To build a Langchain agent that autonomously answers questions, performs calculations, and searches the web, which design best leverages autonomy?
ACreate an agent with multiple tools and enable it to decide which tool to use per query
BManually route each query to a specific tool before passing to the agent
CUse separate agents for each task without coordination
DDisable tool usage and rely solely on the LLM's internal knowledge
Step-by-Step Solution
Solution:
  1. Step 1: Understand autonomy in agents

    Autonomy means the agent chooses tools dynamically.
  2. Step 2: Evaluate options

    Manual routing or separate agents reduce autonomy.
  3. Final Answer:

    Create an agent with multiple tools and enable it to decide which tool to use per query -> Option A
  4. Quick Check:

    Autonomy means dynamic tool selection [OK]
Quick Trick: Autonomous agents pick tools themselves [OK]
Common Mistakes:
MISTAKES
  • Manually routing queries limits autonomy
  • Using separate agents lacks unified control
  • Disabling tools reduces capability

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