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You want to compare prompt versions that include conditional logic, like: - prompt_v1: 'If the text is long, summarize briefly: {text}' - prompt_v2: 'Summarize the text: {text}' How can you implement this conditional prompt logic in Langchain to compare versions?

hard📝 Application Q9 of 15
LangChain - LangSmith Observability
You want to compare prompt versions that include conditional logic, like: - prompt_v1: 'If the text is long, summarize briefly: {text}' - prompt_v2: 'Summarize the text: {text}' How can you implement this conditional prompt logic in Langchain to compare versions?
AUse a Python function to choose prompt template based on text length before running LLMChain
BWrite both prompts as one template with if/else inside the string
CUse PromptSelector to handle conditional logic automatically
DLangchain does not support conditional prompts
Step-by-Step Solution
Solution:

  1. Step 1: Recognize Langchain prompt templates are static strings

    PromptTemplate does not support dynamic if/else inside the template string.

  2. Step 2: Use external Python logic

    Write a Python function to pick which prompt to use based on input text length before calling LLMChain.

  3. Final Answer:

    Use a Python function to choose prompt template based on text length before running LLMChain -> Option A

  4. Quick Check:

    Conditional prompt logic done outside templates [OK]
Quick Trick: Use Python code to select prompt version conditionally [OK]
Common Mistakes:
MISTAKES
  • Trying to put if/else inside prompt string
  • Expecting PromptSelector to handle logic
  • Thinking conditional prompts unsupported

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