Add Cost and Latency Optimization Patterns example notebook

[pankaj0695]

Adds a new example notebook demonstrating practical techniques to reduce cost and latency when using the Gemini API. Covers token counting, streaming, prompt trimming, summarization, model comparison (Flash vs Pro) and Batch API usage with measurable metrics.
Fixes #1105

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[gemini-code-assist]

Summary of Changes

Hello @pankaj0695, 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 introduces a comprehensive example notebook designed to guide users in optimizing their interactions with the Gemini API. It provides practical strategies and measurable metrics for reducing both operational costs and response latency, covering essential techniques like token management, streaming for improved user experience, intelligent prompt design, model selection based on task requirements, and efficient batch processing for large-scale operations.

Highlights

• New Example Notebook: A new example notebook, "Cost and Latency Optimization," has been added to demonstrate practical techniques for efficient Gemini API usage.
• Optimization Techniques Covered: The notebook covers key optimization strategies including token counting, streaming for faster perceived latency, prompt trimming, and summarization for context reduction.
• Model Comparison: It includes a comparison of different Gemini models (Flash vs. Pro) to highlight their respective cost and latency tradeoffs for various tasks.
• Batch API Usage: The example also illustrates the effective use of the Batch API for high-throughput, non-urgent workloads, emphasizing its cost benefits.

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[gemini-code-assist]

Code Review

This pull request introduces a new notebook demonstrating cost and latency optimization patterns for the Gemini API, along with updates to the README.md file to include this new example. The notebook covers important topics such as token counting, streaming, prompt trimming, model comparison, and Batch API usage, providing valuable insights for optimizing Gemini API interactions. The README.md update correctly references the new notebook. However, there are several style guide violations and minor issues that need to be addressed to ensure consistency and adherence to the repository's coding standards. Specifically, the notebook's execution_count fields are not null, indicating it has been run but not formatted. There are also inconsistencies in API key naming, unhidden helper functions, incorrect indentation for long text variables, and non-imperative table headers. The README.md also contains a minor formatting inconsistency in its bullet points.

[pankaj0695]

@Giom-V can you please review this PR