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

89 lines
2.4 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.
from google.adk import Agent
from google.genai import types
new_message = types.Content(
role="user",
parts=[types.Part.from_text(text="Count a number")],
)
google_agent_1 = Agent(
model="gemini-2.5-flash",
name="agent_1",
description="The first agent in the team.",
instruction="Just say 1",
generate_content_config=types.GenerateContentConfig(
temperature=0.1,
),
)
google_agent_2 = Agent(
model="gemini-2.5-flash",
name="agent_2",
description="The second agent in the team.",
instruction="Just say 2",
generate_content_config=types.GenerateContentConfig(
temperature=0.2,
safety_settings=[{
"category": "HARM_CATEGORY_HATE_SPEECH",
"threshold": "BLOCK_ONLY_HIGH",
}],
),
)
google_agent_3 = Agent(
model="gemini-2.5-flash",
name="agent_3",
description="The third agent in the team.",
instruction="Just say 3",
generate_content_config=types.GenerateContentConfig(
temperature=0.5,
safety_settings=[{
"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
"threshold": "BLOCK_NONE",
}],
),
)
google_agent_with_instruction_in_config = Agent(
model="gemini-2.5-flash",
name="agent",
generate_content_config=types.GenerateContentConfig(
temperature=0.5, system_instruction="Count 1"
),
)
def function():
pass
google_agent_with_tools_in_config = Agent(
model="gemini-2.5-flash",
name="agent",
generate_content_config=types.GenerateContentConfig(
temperature=0.5, tools=[function]
),
)
google_agent_with_response_schema_in_config = Agent(
model="gemini-2.5-flash",
name="agent",
generate_content_config=types.GenerateContentConfig(
temperature=0.5, response_schema={"key": "value"}
),
)