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If a Langchain agent always returns the same answer and never uses its tools, what is the most probable cause?

medium📝 Debug Q6 of 15
LangChain - Agents
If a Langchain agent always returns the same answer and never uses its tools, what is the most probable cause?
AThe language model is too large and ignores tools
BThe agent was initialized without specifying the agent_type that enables tool usage
CThe tools list is empty but agent_type is correct
DThe agent is running in offline mode
Step-by-Step Solution
Solution:

  1. Step 1: Check agent initialization

    Without agent_type like 'zero-shot', tools won't be used.

  2. Step 2: Confirm tools presence

    Even with tools, missing agent_type disables tool calls.

  3. Final Answer:

    Agent missing agent_type enabling tool usage -> Option B

  4. Quick Check:

    agent_type controls tool invocation [OK]
Quick Trick: Missing agent_type disables tools [OK]
Common Mistakes:
MISTAKES
  • Blaming model size for ignoring tools
  • Assuming empty tools list is the cause
  • Thinking offline mode causes fixed answers

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