Prompt templating
Prompts provides a powerful domain-specific language to write and manage prompts, via what we call prompt functions. Prompt functions are Python functions that contain a template for the prompt in their docstring, and their arguments correspond to the variables used in the prompt. When called, a prompt function returns the template rendered with the values of the arguments.
The aim of prompt functions is to solve several recurrent problems with prompting:
- Building complex prompts quickly leads to messy code. This problem has already been solved in the web development community by using templating, so why not use it here?
- Composing prompts is difficult. Why not just compose functions?
- Separating prompts from code. Encapsulation in functions allows a clean separation between prompts and code. Moreover, like any function, prompt functions can be imported from other modules.
Prompts uses the Jinja templating engine to render prompts, which allows to easily compose complex prompts.
Prompt rendering
Prompt functions are opinionated when it comes to prompt rendering. These opinions are meant to avoid common prompting errors, but can have unintended consequences if you are doing something unusual. We advise to always print the prompt before using it. You can also read the reference section if you want to know more.
Performance
Prompt templates introduce some overhead compared to standard Python functions, although the rendering time is still very reasonable. In the unlikely scenario where rendering templates are a bottleneck you can replace them with functions that use standard string manipulation.
Your first prompt
The following snippet showcases a very simple prompt. The variables between
curly brackets {{ }}
are placeholders for the values of the arguments you
will pass to the prompt function.
If a variable is missing in the function's arguments, Jinja2 will throw an UndefinedError
exception:
Traceback (most recent call last):
File "<stdin>", line 9, in <module>
File "/home/remi/projects/normal/prompts/prompts.templates.py", line 38, in __call__
return render(self.template, **bound_arguments.arguments)
File "/home/remi/projects/normal/prompts/prompts.templates.py", line 213, in render
return jinja_template.render(**values)
File "/home/remi/micromamba/envs/prompts/lib/python3.9/site-packages/jinja2/environment.py", line 1301, in render
self.environment.handle_exception()
File "/home/remi/micromamba/envs/prompts/lib/python3.9/site-packages/jinja2/environment.py", line 936, in handle_exception
raise rewrite_traceback_stack(source=source)
File "<template>", line 1, in top-level template code
jinja2.exceptions.UndefinedError: 'surname' is undefined
Importing prompt functions
Prompt functions are functions, and thus can be imported from other modules:
Few-shot prompting
Few-shot prompting can lead to messy code. Prompt functions allow you to loop
over lists or dictionaries from the template. In the following example we
demonstrate how we can generate a prompt by passing a list of dictionaries with
keys question
and answer
to the prompt function:
import prompts
@prompts.template
def few_shots(instructions, examples, question):
return """{{ instructions }}
Examples
--------
{% for example in examples %}
Q: {{ example.question }}
A: {{ example.answer }}
{% endfor %}
Question
--------
Q: {{ question }}
A:
"""
instructions = "Please answer the following question following the examples"
examples = [
{"question": "2+2=?", "answer":4},
{"question": "3+3=?", "answer":6}
]
question = "4+4 = ?"
prompt = few_shots(instructions, examples, question)
print(prompt)
Conditionals, filters, etc.
Jinja2 has many features beyond looping that are not described here: conditionals, filtering, formatting, etc. Please refer to the Jinja documentation for more information about the syntax of the templating language. The Jinja syntax is powerful, and we recommend you take some time to read their documentation if you are building complex prompts.
Formatting conventions
Prompt functions are opinionated when it comes to rendering, and these opinions are meant to avoid prompting mistakes and help with formatting.
Whitespaces
If you have experience working with strings between triple quotes you know that indenting has an influence on the string's formatting. Prompt functions adopt a few conventions so you don't have to think about indents when writing prompt.
First, whether you start the prompt right after the triple quotes or on the line below does not matter for formatting:
Indentation is relative to the second line of the docstring, and leading spaces are removed:
Trailing whitespaces are not removed, unless they follow a linebreak symbol \
(see linebreaks).
Linebreaks
You can use the backslash \
to break a long line of text. It will render as a single line: