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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

48 lines
1.6 KiB
Python

# Copyright 2026 Google LLC
#
# 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.
"""Sample agent showing LiteLLM structured output support."""
from __future__ import annotations
from google.adk import Agent
from google.adk.models.lite_llm import LiteLlm
from pydantic import BaseModel
from pydantic import Field
class CitySummary(BaseModel):
"""Simple structure used to verify LiteLLM JSON schema handling."""
city: str = Field(description="Name of the city being described.")
highlights: list[str] = Field(
description="Bullet points summarising the city's key highlights.",
)
recommended_visit_length_days: int = Field(
description="Recommended number of days for a typical visit.",
)
root_agent = Agent(
name="litellm_structured_output_agent",
model=LiteLlm(model="gemini-2.5-flash"),
description="Generates structured travel recommendations for a given city.",
instruction="""
Produce a JSON object that follows the CitySummary schema.
Only include fields that appear in the schema and ensure highlights
contains short bullet points.
""".strip(),
output_schema=CitySummary,
)