LLM Completion

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Purpose

• Generate creative text based on a prompt (e.g., write marketing copy, a product idea, a short story).
• Transform or reformat data that isn’t tied to a specific webpage’s content (e.g., formatting a list of keywords from a variable).
• Answer general questions or perform simple reasoning tasks based on the LLM’s knowledge.
• Create dynamic variables based on complex instructions or calculations that don’t require web context (e.g., generate today’s date in a specific format).
• Translate text snippets.

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Configuration

1. Enter your prompt:
   • This is the main text area where you write your instructions for the LLM.
   • Be as clear, specific, and detailed as possible in your prompt to get the desired output.
   • You can include context, examples, and specify the desired output format directly in the prompt.
   • Variables (e.g., {{some_previous_data}} not necessarily from a webpage) can be used within the prompt to make it dynamic.
2. Output format as:
   • This dropdown determines how the LLM’s response will be handled and made available to the rest of the workflow.
   • Text: The LLM’s response will be treated as plain text. This text might be implicitly passed to the next block or could be used in contexts where a direct text output is needed.
   • Variable: The LLM’s response will be captured and stored in a new variable. You then define the name for this variable.
3. Variable name (if “Output format as” is “Variable”):
   • If you choose to output the LLM’s response as a variable, you must provide a name for this variable here (e.g., generated_slogan, current_date, translated_text).
   • This variable name (e.g., {{current_date}}) can then be used in subsequent blocks.

Screenshot: LLM Completion block showing a prompt to get today's date and outputting it as a variable named 'date'

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Examples

• Enter your prompt:
  Copy

  Write the todays date strictly in the specified format: 'YYYYMMDD'
  (YYYY → current year → MM → current month → DD → current day). Write only the
  date without additional characters and spaces. Use US eastern time as
  primary timezone
  

• Output format as: Variable
• Variable name: current_date
• Result: The LLM will generate the current date (e.g., 20250605). This value is now available as {{current_date}}.
• Usage in a subsequent Open Websites block:
  • URL: https://example.com/archive/{{current_date}}/news

• Enter your prompt:
  Copy

  Think of and list ten beverage companies. Each company should be on a new line.
  

• Output format as: Text
• Result: The LLM generates a text block containing a list of ten company names. This text is passed directly into the context for the next block.
• Usage in a subsequent Extract Data block:
  • What information…?: A list of items
  • Attributes:

    NAME	EXAMPLE VALUE OR A LONGER DESCRIPTION
    company_name	Extract each company name from the provided list.

  • Outcome: The Extract Data block will process the text generated by the LLM and output a structured list of ten company names.

• • Enter your prompt:
    Copy

    Write a random city. Write only the city name.
    

• Output format as: Variable
• Variable name: city
• Result: The variable {{city}} will contain the random name of city.
• Usage in a subsequent Open Websites block:
  • URL: https://en.wikipedia.org/wiki/{{city}}

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Key Considerations

• Prompt Engineering is Key: The quality and usefulness of the LLM’s output depend heavily on how well you craft your prompt. Experiment with different phrasings, levels of detail, and examples.
• LLM Capabilities and Limitations: Be aware of what the underlying LLM is good at and where it might struggle (e.g., highly complex or very niche calculations, real-time factual accuracy for rapidly changing events).
• Conciseness for Variables: If outputting as a variable, ensure your prompt encourages the LLM to provide a concise response suitable for a variable’s value. Explicitly ask for a specific format if needed (as in the date or translation example).
• No Browser Context: This block operates independently of any browser session. It cannot see or interact with webpages directly; it only processes the text you provide in the prompt (which can include variables from previous steps).