fix: airbnb_planner_multiagent sample

[johnnyjclin]

• lack of params for ChatVertexAI
• task id error in send_message function

Description

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Fixes #304 🦕

[gemini-code-assist]

Summary of Changes

Hello @johnnylin9708, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request addresses critical issues within the airbnb_planner_multiagent sample, specifically focusing on the correct initialization of the ChatVertexAI model with necessary parameters and refining the logic for handling task_id within the send_message function. These changes ensure the sample operates as intended, improving its robustness and functionality.

Highlights

• ChatVertexAI Initialization: The ChatVertexAI model in airbnb_agent.py now correctly initializes with project and location parameters, retrieved from environment variables, addressing a previous lack of these parameters.
• Task ID Handling Refinement: The send_message function in routing_agent.py has been updated to properly handle the task_id. It now explicitly checks if task_id exists in the state and is not None, otherwise, it sets task_id to None instead of generating a new UUID, fixing a task ID error.
• Code Readability Improvements: Minor refactoring of import statements in both modified files has been performed to improve code readability and conciseness.

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[gemini-code-assist]

Code Review

This pull request introduces fixes for initializing ChatVertexAI and handling task_id in send_message. The changes are correct and address the described issues. I've included a couple of suggestions to enhance robustness by adding environment variable validation and to improve code conciseness by simplifying dictionary access.

[gemini-code-assist]

For improved robustness, it's a good practice to explicitly check for the existence of GOOGLE_CLOUD_PROJECT and GOOGLE_CLOUD_LOCATION environment variables when GOOGLE_GENAI_USE_VERTEXAI is enabled. This ensures the application fails fast with a clear error message if the required configuration is missing, similar to the existing check for GOOGLE_GENAI_MODEL.

            if os.getenv('GOOGLE_GENAI_USE_VERTEXAI') == 'TRUE':
                # If not using Vertex AI, initialize with Google Generative AI
                logger.info('ChatVertexAI model initialized successfully.')
                project = os.getenv('GOOGLE_CLOUD_PROJECT')
                if not project:
                    raise ValueError(
                        'GOOGLE_CLOUD_PROJECT environment variable must be set when using Vertex AI'
                    )
                location = os.getenv('GOOGLE_CLOUD_LOCATION')
                if not location:
                    raise ValueError(
                        'GOOGLE_CLOUD_LOCATION environment variable must be set when using Vertex AI'
                    )
                self.model = ChatVertexAI(
                    model=model,
                    project=project,
                    location=location,
                )

[gemini-code-assist]

The logic for retrieving task_id can be simplified. Using the .get() dictionary method is a more concise and Pythonic way to fetch the value, as it returns None by default if the key is not found. This single line can replace the if/else block and the commented-out code.

Suggested change

	# task_id = state['task_id'] if 'task_id' in state else str(uuid.uuid4())
	if 'task_id' in state and state['task_id'] is not None:
	task_id = state['task_id']
	else:
	task_id = None
	task_id = state.get('task_id')