Fix unused os import in quickstarts/Get_started_LiveAPI.py

[ai-naymul]

Problem:
The os module was imported but never used in the script. The genai.Client() was relying on implicit environment variable detection, which:

1. Makes the code less readable/explicit
2. Doesn't provide helpful error messages if the API key is missing
3. Is inconsistent with other quickstarts like Get_started_LyriaRealTime.py

[gemini-code-assist]

Summary of Changes

Hello @ai-naymul, 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 refactors the API key handling mechanism within the Get_started_LiveAPI.py quickstart script. The primary goal is to enhance clarity, user experience, and consistency by explicitly managing the GOOGLE_API_KEY, ensuring users are guided through the process of providing their credentials rather than relying on implicit environment variable detection.

Highlights

• API Key Handling: The genai.Client initialization in quickstarts/Get_started_LiveAPI.py has been updated to explicitly accept an api_key parameter, moving away from implicit environment variable detection.
• User Experience: The script now checks for the GOOGLE_API_KEY environment variable and, if not found, prompts the user to enter their API key, providing a link to obtain one.
• Code Clarity: This change improves code readability and provides more helpful error messages by making the API key retrieval process explicit, aligning with best practices and consistency across quickstarts.

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[gemini-code-assist]

Code Review

This pull request improves the API key handling in the Get_started_LiveAPI.py quickstart. It moves from implicit environment variable detection to an explicit check, with a fallback to user input if the key is not found. This makes the script more robust, user-friendly, and consistent with other examples. I've suggested a small improvement to make the input handling even more robust.

[ai-naymul]

@Giom-V @markmcd