Adds Parallelism Caveats to documentation

[skrawcz]

Also adds example of using the parallel approach for the text summarization code.

Changes

• Docs
• example readme
• adds more example code

How I tested this

Notes

Checklist

• PR has an informative and human-readable title (this will be pulled into the release notes)
• Changes are limited to a single goal (no scope creep)
• Code passed the pre-commit check & code is left cleaner/nicer than when first encountered.
• Any change in functionality is tested
• New functions are documented (with a description, list of inputs, and expected output)
• Placeholder code is flagged / future TODOs are captured in comments
• Project documentation has been updated if adding/changing functionality.

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	🚀 This PR description was created by Ellipsis for commit 91a30ed.

Summary:

This PR introduces a new example of using Hamilton's parallelism features for text summarization, a new class SerializeableOpenAIClient, and a README file under examples/parallelism, along with updates to the docs and more example code.

Key points:

• Adds example of using the parallel approach for the text summarization code.
• Introduces a new class SerializeableOpenAIClient.
• Adds a README file under examples/parallelism.
• Updates the docs and adds more example code.

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Generated with ❤️ by ellipsis.dev

[ellipsis-dev]

❌ Changes requested.

• Reviewed the entire pull request up to c5ee342
• Looked at 230 lines of code in 2 files
• Took 1 minute and 49 seconds to review

More info

• Skipped 1 files when reviewing.
• Skipped posting 0 additional comments because they didn't meet confidence threshold of 50%.

Workflow ID: wflow_fSFzEk8HVOLiwTyz

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[ellipsis-dev]

👍 Looks good to me!

• Performed an incremental review on 6c53d07
• Looked at 229 lines of code in 2 files
• Took 2 minutes and 5 seconds to review

More info

• Skipped 1 files when reviewing.
• Skipped posting 1 additional comments because they didn't meet confidence threshold of 50%.

1. examples/LLM_Workflows/pdf_summarizer/backend/parallel_summarization.py:212:

• Assessed confidence : 0%
• Comment:
  The code looks good and follows best practices. The use of Hamilton's parallelism features is well demonstrated. Good job!
• Reasoning:
  The new example code seems to be well-written and follows the best practices. It demonstrates the use of Hamilton's parallelism features effectively. The use of the SerializeableOpenAIClient class to handle serialization issues with the OpenAI client is a good approach. The code is also well-documented with docstrings explaining the functionality of each function. The new README file under examples/parallelism provides a brief description and a link to the parallel documentation, which is helpful for users. I don't see any clear violations of best practices, logical bugs, performance bugs, or security bugs. The code seems to be DRY, doesn't contain any secrets or credentials, and doesn't log sensitive data. It follows the Single Responsibility Principle and the function and method naming follows consistent patterns. The PR description is clear and the changes are limited to a single goal. The code seems to have been tested and the new functions are documented. The PR checklist has been followed. Overall, this PR looks good to me.

Workflow ID: wflow_44NusagsKUE6ZPnV

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[ellipsis-dev]

No problems found on commit 91a30ed.

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