#
# Copyright 2026 The Dapr Authors
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#     http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

import json

from dotenv import load_dotenv
from pydantic import BaseModel

from dapr_agents import OpenAIChatClient
from dapr_agents.types import UserMessage

# Load environment variables from .env
load_dotenv()


# Define our data model
class Dog(BaseModel):
    name: str
    breed: str
    reason: str


# Initialize the chat client
llm = OpenAIChatClient()

# Get structured response
response: Dog = llm.generate(
    messages=[UserMessage("One famous dog in history.")], response_format=Dog
)

print(json.dumps(response.model_dump(), indent=2))
