docs(notebook): Sparse threshold optimization with Pydantic AI notebook

[Joshua-Briggs]

User description

notebook includes hybrid router with sparse encoder using threshold optimization. This then feeds into Pydantic AI graph to use as a guardrail in a EV chatbot example.

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PR Type

• Enhancement

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Description

• Introduce a notebook for sparse threshold optimization.

• Demonstrate hybrid router with sparse encoder integration.

• Showcase guardrail usage within an EV chatbot example.

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Changes walkthrough 📝

	Relevant files
Enhancement	10-sparse-threshold-optimization-guardrails.ipynb Add sparse threshold optimization notebook.                            docs/10-sparse-threshold-optimization-guardrails.ipynb New Jupyter notebook added. Implements sparse threshold optimization. Integrates hybrid router and sparse encoder. Provides guardrail for EV chatbot via Pydantic AI graph. +1493/-0

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[github-actions]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 1 🔵⚪⚪⚪⚪

🧪 No relevant tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Documentation Ensure the notebook is clear, reproducible, and well documented, including the sparse encoding and guardrail integration features. {

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PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Safely retrieve environment keys Use os.environ.get to safely retrieve API keys and avoid runtime KeyError when the keys aren’t already set. docs/10-sparse-threshold-optimization-guardrails.ipynb [121-145] -os.environ["AURELIO_API_KEY"] = os.environ["AURELIO_API_KEY"] or getpass("Enter your Aurelio API key: ") -os.environ["OPENAI_API_KEY"] = os.environ["OPENAI_API_KEY"] or getpass("Enter your OpenAI API key: ") +os.environ["AURELIO_API_KEY"] = os.environ.get("AURELIO_API_KEY") or getpass("Enter your Aurelio API key: ") +os.environ["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY") or getpass("Enter your OpenAI API key: ") Suggestion importance[1-10]: 7 __ Why: The suggestion improves robustness by using os.environ.get to avoid potential KeyErrors when API keys are missing. However, since the modification spans two separate code cells merged in the snippet, the impact is moderate.	Medium