Create a developer folder and add samples.

PiperOrigin-RevId: 755885332

contributing/samples/workflow_agent_seq/__init__.py

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+# 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 . import agent

contributing/samples/workflow_agent_seq/agent.py

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