ollama-python/examples/structured_outputs/structured-outputs.py
2025-09-24 15:10:00 -07:00

28 lines
1.1 KiB
Python

from pydantic import BaseModel
from ollama import chat
# Define the schema for the response
class FriendInfo(BaseModel):
name: str
age: int
is_available: bool
class FriendList(BaseModel):
friends: list[FriendInfo]
# schema = {'type': 'object', 'properties': {'friends': {'type': 'array', 'items': {'type': 'object', 'properties': {'name': {'type': 'string'}, 'age': {'type': 'integer'}, 'is_available': {'type': 'boolean'}}, 'required': ['name', 'age', 'is_available']}}}, 'required': ['friends']}
response = chat(
model='llama3.1:8b',
messages=[{'role': 'user', 'content': 'I have two friends. The first is Ollama 22 years old busy saving the world, and the second is Alonso 23 years old and wants to hang out. Return a list of friends in JSON format'}],
format=FriendList.model_json_schema(), # Use Pydantic to generate the schema or format=schema
options={'temperature': 0}, # Make responses more deterministic
)
# Use Pydantic to validate the response
friends_response = FriendList.model_validate_json(response.message.content)
print(friends_response)