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44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""A data analysis agent that runs Python in a Daytona remote sandbox."""
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from google.adk import Agent
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from google.adk.integrations.daytona import DaytonaEnvironment
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from google.adk.tools.environment import EnvironmentToolset
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root_agent = Agent(
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name="data_analysis_agent",
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description=(
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"A data analysis agent that downloads public datasets and analyzes"
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" them inside a Daytona remote sandbox."
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),
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instruction="""\
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You are a data analysis assistant. You work inside an isolated Daytona remote
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sandbox that has internet access, where you can safely download data and run
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Python, so you never touch the user's machine.
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To analyze a dataset:
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1. Download it from the internet into the working directory, e.g. with
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`curl -O <url>` or `wget <url>`.
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2. Install whatever you need on demand, e.g. `pip install pandas`.
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3. Write a short Python script that loads the data and computes the answer.
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4. Run the script and report the result, showing the numbers you found.
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Prefer writing a script and executing it over guessing. If a command fails,
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read the error, fix the script, and try again.
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""",
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tools=[EnvironmentToolset(environment=DaytonaEnvironment())],
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)
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