feat(serverless-spark): add serverless-spark create batch tools

[dborowitz]

Description

Add two tools to create PySpark and Java Spark batches. These are separate and take a minimal set of parameters, to keep things simple for the LLM. Advanced runtime and environment config can be specified in tools.yaml.

As the tools are quite similar, they do share some common implementation.

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🛠️ Part of #1689

[gemini-code-assist[bot]]

Summary of Changes

Hello @dborowitz, I'm Gemini Code Assist[^1]! 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 enhances the genai-toolbox by integrating a new create_pyspark_batch tool for Google Cloud Serverless for Apache Spark. The primary goal is to provide a streamlined interface for Large Language Models (LLMs) to initiate PySpark batch jobs, abstracting away complexity while retaining the ability for detailed configuration through YAML files. This expands the toolbox's capabilities for managing serverless Spark workloads.

Highlights

• New PySpark Batch Creation Tool: Introduced a new tool, create_pyspark_batch, for Google Cloud Serverless for Apache Spark, allowing for simplified PySpark batch submission with minimal parameters.
• Configurable Runtime and Environment Settings: The new tool supports advanced runtime and environment configurations via tools.yaml, enabling flexible customization for Spark workloads.
• Comprehensive Documentation and Testing: Added extensive documentation for the new tool, covering its usage, parameters, and configuration examples. Integration tests were also updated to cover the new functionality.

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[duwenxin99]

/gcbrun

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