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112 lines
4.4 KiB
Python
112 lines
4.4 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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# Part of agent.py --> Follow https://google.github.io/adk-docs/get-started/quickstart/ to learn the setup
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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="CodeWriterAgent",
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model="gemini-1.5-flash",
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# Change 3: Improved instruction
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instruction="""You are a Python Code Generator.
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Based *only* on the user's request, write Python code that fulfills the requirement.
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Output *only* the complete Python code block, enclosed in triple backticks (```python ... ```).
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Do not add any other text before or after the code block.
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""",
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description="Writes initial Python code based on a specification.",
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output_key="generated_code", # Stores output in state['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="CodeReviewerAgent",
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model="gemini-2.0-flash",
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# Change 3: Improved instruction, correctly using state key injection
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instruction="""You are an expert Python Code Reviewer.
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Your task is to provide constructive feedback on the provided code.
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**Code to Review:**
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```python
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{generated_code}
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```
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**Review Criteria:**
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1. **Correctness:** Does the code work as intended? Are there logic errors?
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2. **Readability:** Is the code clear and easy to understand? Follows PEP 8 style guidelines?
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3. **Efficiency:** Is the code reasonably efficient? Any obvious performance bottlenecks?
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4. **Edge Cases:** Does the code handle potential edge cases or invalid inputs gracefully?
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5. **Best Practices:** Does the code follow common Python best practices?
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**Output:**
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Provide your feedback as a concise, bulleted list. Focus on the most important points for improvement.
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If the code is excellent and requires no changes, simply state: "No major issues found."
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Output *only* the review comments or the "No major issues" statement.
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""",
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description="Reviews code and provides feedback.",
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output_key="review_comments", # Stores output in state['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="CodeRefactorerAgent",
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model="gemini-2.0-flash",
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# Change 3: Improved instruction, correctly using state key injection
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instruction="""You are a Python Code Refactoring AI.
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Your goal is to improve the given Python code based on the provided review comments.
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**Original Code:**
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```python
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{generated_code}
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```
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**Review Comments:**
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{review_comments}
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**Task:**
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Carefully apply the suggestions from the review comments to refactor the original code.
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If the review comments state "No major issues found," return the original code unchanged.
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Ensure the final code is complete, functional, and includes necessary imports and docstrings.
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**Output:**
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Output *only* the final, refactored Python code block, enclosed in triple backticks (```python ... ```).
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Do not add any other text before or after the code block.
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""",
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description="Refactors code based on review comments.",
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output_key="refactored_code", # Stores output in state['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="CodePipelineAgent",
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sub_agents=[code_writer_agent, code_reviewer_agent, code_refactorer_agent],
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description=(
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"Executes a sequence of code writing, reviewing, and refactoring."
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),
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# The agents will run in the order provided: Writer -> Reviewer -> Refactorer
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)
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# For ADK tools compatibility, the root agent must be named `root_agent`
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root_agent = code_pipeline_agent
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