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Accessing a prompt

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Get Prompt

All prompts and attributes stored in Chatterfile can be accessed using the get_prompt method. This method takes a single argument, id which is the prompt_id of the prompt you want to access. You can get the full prompt configuration by passing the prompt_id to the get_prompt method. Note, prompt templates are converted to jinja2 syntax when they are returned.

prompt_config = chatterfile.get_prompt(prompt_id='PROMPT_ID')

It is returned as a dictionary so you can access the prompt’s attributes like so:

prompt_atr = chatterfile.get_prompt(prompt_id='PROMPT_ID')['ATTRIBUTE_NAME']

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Render Prompt

Your prompts likely contain some variables that you want to replace with values from your code. This can be done via the render_prompt method. This method takes in the prompt_id of the prompt you would like to render and then a dictionary of variables to replace in the prompt. The dictionary should be in the format of {'VARIABLE_NAME': 'VARIABLE_VALUE'}.

rendered_prompt = chatterfile.render_prompt(
    prompt_id='PROMPT_ID',
    variables={'VARIABLE_NAME_1': 'VARIABLE_VALUE_1', 'VARIABLE_NAME_2': 'VARIABLE_VALUE_2'}
)

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Run Prompt

Run prompts from Chatterfile using the run_prompt method. Input the prompt_id and variables to inject as variables. This method will call the LLM based on the configuration in the Chatterfile (though you can override these) and return the response from the LLM. With simplified mode, you’ll get just the response text.

result = chatterfile.run_prompt(prompt_id='president',
                                variables={"rank": "first"},
                                simplified=True)
Chatterfile Syntax