System Prompt
Last updated
Last updated
The system prompt allows you to control the behaviour of the model. You can input variables using placeholders, and conditional text using JINJA Python syntax.
A system prompt is created each time you post a prompt back to a model, even mid-conversation.
currentDatetime - The current date and time in format YYYY-MM-DD HH:mm:ss.
username - The user's login username.
givenName - The user's firse name.
familyName - The user's last name.
email - The user's email address.
departmentName - The user's department.
jobTitle - The user's job title.
text - The combined text of all the documents in the search results.
percentageTokensUsed - The percentage of tokens that have been used for the context window (results).
percentageTokensLeft - The percentage of tokens that are left for the context window (results).
hasTermsFilters - True if the search has any terms filters, false otherwise.
chatCount - The number of chat messages in the chat history.
filtersChanged - True if the filters have changed since the last chat message.
The below image shoes a more complex agentic system prompt that will perform a deep research task. It calls tools several times to compile a response for a user.
