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# Artificial Intelligence | ||
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## Security | ||
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- Filter sensitive information before sending data to an LLM or chatbot. | ||
[Example](./how-to/filter_sensitive_information.md). |
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artificial-intelligence/how-to/filter_sensitive_information.md
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# Filter Sensitive Information | ||
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Before sending free text to an LLM or chatbot, filter all messages for | ||
potentially sensitive information first. | ||
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```ruby | ||
require "openai" | ||
require "top_secret" | ||
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openai = OpenAI::Client.new( | ||
api_key: Rails.application.credentials.openai.api_key! | ||
) | ||
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original_messages = [ | ||
"Ralph lives in Boston.", | ||
"You can reach them at [email protected] or 877-976-2687" | ||
] | ||
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# Filter all messages | ||
result = TopSecret::Text.filter_all(original_messages) | ||
filtered_messages = result.items.map(&:output) | ||
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user_messages = filtered_messages.map { {role: "user", content: it} } | ||
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# Instruct LLM how to handle filtered messages | ||
instructions = <<~TEXT | ||
I'm going to send filtered information to you in the form of free text. | ||
If you need to refer to the filtered information in a response, just reference it by the filter. | ||
TEXT | ||
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messages = [ | ||
{role: "system", content: instructions}, | ||
*user_messages | ||
] | ||
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chat_completion = openai.chat.completions.create(messages:, model: :"gpt-5") | ||
response = chat_completion.choices.last.message.content | ||
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# Restore the response from the mapping | ||
mapping = result.mapping | ||
restored_response = TopSecret::FilteredText.restore(response, mapping:).output | ||
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puts(restored_response) | ||
``` |
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I agree with the guideline, but I think the example is too specific as this guide is more general than just Ruby.
This API might change in the future. A link to the repo is enough, IMO.