mirror of
https://github.com/google/adk-docs.git
synced 2026-09-14 16:16:59 +08:00
ff454ac1c9
* fix: change call_agent to call_agent_async * added await in storyflow where missing * updated callbacks and storyflow with await and user comment * fixed more * added licencse header --------- Co-authored-by: Lavi Nigam <98014943+lavinigam-gcp@users.noreply.github.com> Co-authored-by: Lavi Nigam <lavinigam@google.com>
97 lines
3.8 KiB
Python
97 lines
3.8 KiB
Python
# Copyright 2025 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.agents import LlmAgent
|
|
from google.adk.runners import Runner
|
|
from typing import Optional
|
|
from google.genai import types
|
|
from google.adk.sessions import InMemorySessionService
|
|
from google.adk.tools import FunctionTool
|
|
from google.adk.tools.tool_context import ToolContext
|
|
from google.adk.tools.base_tool import BaseTool
|
|
from typing import Dict, Any
|
|
|
|
|
|
GEMINI_2_FLASH="gemini-2.0-flash"
|
|
|
|
def get_capital_city(country: str) -> str:
|
|
"""Retrieves the capital city of a given country."""
|
|
print(f"--- Tool 'get_capital_city' executing with country: {country} ---")
|
|
country_capitals = {
|
|
"united states": "Washington, D.C.",
|
|
"canada": "Ottawa",
|
|
"france": "Paris",
|
|
"germany": "Berlin",
|
|
}
|
|
return country_capitals.get(country.lower(), f"Capital not found for {country}")
|
|
|
|
capital_tool = FunctionTool(func=get_capital_city)
|
|
|
|
def simple_before_tool_modifier(
|
|
tool: BaseTool, args: Dict[str, Any], tool_context: ToolContext
|
|
) -> Optional[Dict]:
|
|
"""Inspects/modifies tool args or skips the tool call."""
|
|
agent_name = tool_context.agent_name
|
|
tool_name = tool.name
|
|
print(f"[Callback] Before tool call for tool '{tool_name}' in agent '{agent_name}'")
|
|
print(f"[Callback] Original args: {args}")
|
|
|
|
if tool_name == 'get_capital_city' and args.get('country', '').lower() == 'canada':
|
|
print("[Callback] Detected 'Canada'. Modifying args to 'France'.")
|
|
args['country'] = 'France'
|
|
print(f"[Callback] Modified args: {args}")
|
|
return None
|
|
|
|
# If the tool is 'get_capital_city' and country is 'BLOCK'
|
|
if tool_name == 'get_capital_city' and args.get('country', '').upper() == 'BLOCK':
|
|
print("[Callback] Detected 'BLOCK'. Skipping tool execution.")
|
|
return {"result": "Tool execution was blocked by before_tool_callback."}
|
|
|
|
print("[Callback] Proceeding with original or previously modified args.")
|
|
return None
|
|
|
|
my_llm_agent = LlmAgent(
|
|
name="ToolCallbackAgent",
|
|
model=GEMINI_2_FLASH,
|
|
instruction="You are an agent that can find capital cities. Use the get_capital_city tool.",
|
|
description="An LLM agent demonstrating before_tool_callback",
|
|
tools=[capital_tool],
|
|
before_tool_callback=simple_before_tool_modifier
|
|
)
|
|
|
|
APP_NAME = "guardrail_app"
|
|
USER_ID = "user_1"
|
|
SESSION_ID = "session_001"
|
|
|
|
# Session and Runner
|
|
async def setup_session_and_runner():
|
|
session_service = InMemorySessionService()
|
|
session = await session_service.create_session(app_name=APP_NAME, user_id=USER_ID, session_id=SESSION_ID)
|
|
runner = Runner(agent=my_llm_agent, app_name=APP_NAME, session_service=session_service)
|
|
return session, runner
|
|
|
|
# Agent Interaction
|
|
async def call_agent_async(query):
|
|
content = types.Content(role='user', parts=[types.Part(text=query)])
|
|
session, runner = await setup_session_and_runner()
|
|
events = runner.run_async(user_id=USER_ID, session_id=SESSION_ID, new_message=content)
|
|
|
|
async for event in events:
|
|
if event.is_final_response():
|
|
final_response = event.content.parts[0].text
|
|
print("Agent Response: ", final_response)
|
|
|
|
# Note: In Colab, you can directly use 'await' at the top level.
|
|
# If running this code as a standalone Python script, you'll need to use asyncio.run() or manage the event loop.
|
|
await call_agent_async("Canada") |