# 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.
#
# SPDX-License-Identifier: Apache-2.0
"""Sample demonstrating code execution using the Google Gemini API with GenAI.
Key features demonstrated in this sample:
| Feature Description | Example Function / Code Snippet |
|-----------------------------------------|-------------------------------------|
| Code Execution Config | `code_execution=True` |
| Executable Code Part Handling | `PartConverter.EXECUTABLE_CODE` |
| Code Execution Result Handling | `PartConverter.CODE_EXECUTION_RESULT`|
| Custom Part Parsing | `CustomPart` processing |
"""
import os
from typing import Annotated
import structlog
from pydantic import Field
from genkit.ai import Genkit
from genkit.blocks.model import MessageWrapper
from genkit.core.typing import CustomPart, Message, TextPart
from genkit.plugins.google_genai import GeminiConfigSchema, GoogleAI
from genkit.plugins.google_genai.models.utils import PartConverter
if 'GEMINI_API_KEY' not in os.environ:
os.environ['GEMINI_API_KEY'] = input('Please enter your GEMINI_API_KEY: ')
logger = structlog.get_logger(__name__)
ai = Genkit(
plugins=[GoogleAI()],
model='googleai/gemini-3-flash-preview',
)
DEFAULT_CODE_TASK = 'What is the sum of the first 50 prime numbers?'
@ai.flow()
async def execute_code(
task: Annotated[str, Field(default=DEFAULT_CODE_TASK)] = DEFAULT_CODE_TASK,
) -> MessageWrapper:
"""Execute code for the given task.
Args:
task: the task to send to test function
Returns:
The generated response enclosed in a MessageWrapper. The content field should contain the following:
1. CustomPart with executableCode(language and code).
2. CustomPart with codeExecutionResult(outcome and output).
3. Textpart describing code and output generated.
"""
response = await ai.generate(
prompt=f'Generate and run code for the task: {task}',
config=GeminiConfigSchema(temperature=1, code_execution=True).model_dump(),
)
if not response.message:
raise ValueError('No message returned from model')
return response.message
def display_code_execution(message: Message) -> None:
"""Display the code execution results from a message."""
print('\n=== INTERNAL CODE EXECUTION ===')
for part in message.content:
if isinstance(part.root, CustomPart):
if PartConverter.EXECUTABLE_CODE in part.root.custom:
code_data = part.root.custom[PartConverter.EXECUTABLE_CODE]
lang = code_data.get(PartConverter.LANGUAGE, 'unknown')
code = code_data.get(PartConverter.CODE, '')
print(f'Language: {lang}')
print(f'```{lang}\n{code}\n```')
elif PartConverter.CODE_EXECUTION_RESULT in part.root.custom:
result_data = part.root.custom[PartConverter.CODE_EXECUTION_RESULT]
outcome = result_data.get(PartConverter.OUTCOME, 'unknown')
output = result_data.get(PartConverter.OUTPUT, '')
print('\nExecution result:')
print(f'Status: {outcome}')
print('Output:')
if not output.strip():
print(' <no output>')
else:
for line in output.splitlines():
print(f' {line}')
elif isinstance(part.root, TextPart) and part.root.text.strip():
print(f'\nExplanation:\n{part.root.text}')
print('\n=== COMPLETE INTERNAL CODE EXECUTION ===')
async def main() -> None:
"""Main entry point for the Google genai code execution sample - keep alive for Dev UI.
This function demonstrates how to perform code execution using the
Genkit framework.
"""
response_msg = await execute_code('What is the sum of the first 50 prime numbers?')
display_code_execution(response_msg)
await logger.ainfo(response_msg.text)
if __name__ == '__main__':
ai.run_main(main())
