YAML And Saved Assets¶

One of chatsnack's best ideas is that chats are durable prompt assets.

Inspect YAML early¶

from chatsnack import Chat

chat = (
    Chat("Respond only with the word POPSICLE from now on.")
    .user("What is your name?")
    .chat()
)

print(chat.yaml)

messages:
  - system: Respond only with the word POPSICLE from now on.
  - user: What is your name?
  - assistant: POPSICLE.

Save and reload a chat¶

from chatsnack import Chat

chat = Chat("Respond only with the word POPSICLE from now on.")
chat.name = "Popsicle"
chat.save()

saved = Chat(name="Popsicle")
print(saved.ask("What is your name?"))

Save reusable text¶

from chatsnack import Text

voice = Text(
    name="SnackExplosion",
    content="Respond only in explosions of snack emojis and happy faces.",
)
voice.save()

Text objects let us keep prompt fragments in files instead of large strings embedded in Python code.

Parameter changes also serialize¶

from chatsnack import Chat

wisechat = Chat("Respond with professional writing based on the user query.")
wisechat.user("Author an alliterative poem about good snacks to eat with coffee.")
wisechat.model = "gpt-5-chat-latest"

That keeps a prompt asset close to the exact runtime configuration we meant to use.