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95 lines
3.0 KiB
Python
95 lines
3.0 KiB
Python
# Copyright 2025 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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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.agents.sequential_agent import SequentialAgent
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# --- 1. Define Sub-Agents for Each Pipeline Stage ---
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# Code Writer Agent
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# Takes the initial specification (from user query) and writes code.
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code_writer_agent = LlmAgent(
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name="code_writer_agent",
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model="gemini-1.5-flash-001",
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instruction="""You are a Code Writer AI.
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Based on the user's request, write the initial Python code.
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Output *only* the raw code block.
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""",
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description="Writes initial code based on a specification.",
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# Stores its output (the generated code) into the session state
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# under the key 'generated_code'.
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output_key="generated_code",
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)
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# Code Reviewer Agent
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# Takes the code generated by the previous agent (read from state) and provides feedback.
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code_reviewer_agent = LlmAgent(
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name="code_reviewer_agent",
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model="gemini-2.0-flash-001",
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instruction="""You are a Code Reviewer AI.
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Review the below Python code.
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```
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{generated_code}
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```
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Provide constructive feedback on potential errors, style issues, or improvements.
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Focus on clarity and correctness.
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Output only the review comments.
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""",
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description="Reviews code and provides feedback.",
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# Stores its output (the review comments) into the session state
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# under the key 'review_comments'.
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output_key="review_comments",
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)
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# Code Refactorer Agent
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# Takes the original code and the review comments (read from state) and refactors the code.
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code_refactorer_agent = LlmAgent(
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name="code_refactorer_agent",
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model="gemini-2.0-flash-001",
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instruction="""You are a Code Refactorer AI.
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Below is the original Python code:
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```
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{generated_code}
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```
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Below are the review comments:
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{review_comments}
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Refactor the code based on the provided feedback.
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Output *only* the final, refactored code block.
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""",
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description="Refactors code based on review comments.",
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# Stores its output (the refactored code) into the session state
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# under the key 'refactored_code'.
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output_key="refactored_code",
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)
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# --- 2. Create the SequentialAgent ---
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# This agent orchestrates the pipeline by running the sub_agents in order.
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code_pipeline_agent = SequentialAgent(
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name="code_pipeline_agent",
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sub_agents=[code_writer_agent, code_reviewer_agent, code_refactorer_agent],
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# The agents will run in the order provided: Writer -> Reviewer -> Refactorer
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)
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root_agent = code_pipeline_agent
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