Quickstart

Command line

Run the CLI with a rough idea. The command asks up to three clarification questions, then prints a final prompt you can paste into a chat agent.

prompt-recipe-smith I want to plan a small workshop

One-shot builder

Use PromptBuilder when you already have enough context to build a prompt in one step.

from prompt_recipe_smith import PromptBuilder
from prompt_recipe_smith.output import to_json, to_plain_text
from prompt_recipe_smith.recipes import clarify_idea_recipe

recipe = clarify_idea_recipe()
result = PromptBuilder().build(
    recipe,
    "I want to write a polite follow-up email",
)

print(to_plain_text(result))
print(to_json(result))

Layered questions

Use PromptSessionRunner when your app should collect the built-in clarification answers before rendering the final prompt.

from prompt_recipe_smith import PromptBuilder
from prompt_recipe_smith.recipes import clarify_idea_recipe
from prompt_recipe_smith.session import PromptSessionRunner

runner = PromptSessionRunner(
    recipe=clarify_idea_recipe(),
    builder=PromptBuilder(),
)
session = runner.start("I want to plan a small workshop")

session = runner.answer(session, "A one-day facilitation agenda")
session = runner.answer(session, "First-time team leads")
session = runner.answer(session, "Keep it practical and under six hours")

result = runner.finish(session)
print(result.prompt)

The built-in clarification questions are written in English, but answers can be provided in any language. The CLI, API, and JSON output preserve Unicode text.

Colab notebook

Open the prompt-recipe-smith Colab notebook to try the same flow in a browser without setting up a local environment.

Applied Django webpage

For a deployed webpage that applies the package in a Django experience, see Prompt Generator.