feat: add Zendesk document loader and credential integration

[davehamptonusa]

Introduce a new Zendesk document loader and corresponding credential class to facilitate the extraction of articles from the Zendesk Knowledge Base. This includes configuration validation, error handling, and support for chunking large articles. Additionally, a new SVG icon for Zendesk is added, along with comprehensive tests to ensure functionality.

[gemini-code-assist]

Summary of Changes

Hello @davehamptonusa, 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 new integration with Zendesk, enabling the platform to load articles from Zendesk Knowledge Bases. It provides a complete solution for authenticating, fetching, and processing Zendesk articles, including intelligent handling of large content through chunking. This enhancement significantly expands the platform's data ingestion capabilities from external knowledge sources.

Highlights

• New Zendesk Document Loader: Introduces a new document loader capable of extracting articles from the Zendesk Knowledge Base, providing a structured way to ingest knowledge base content.
• Zendesk API Credential: Adds a dedicated credential class for authenticating with the Zendesk API, requiring a user email and API token for secure access.
• Robust Error Handling & Validation: Implements comprehensive configuration validation for inputs like Zendesk domain and brand ID, along with robust error handling for various API response codes (e.g., 401, 403, 404, 500) and network issues.
• Article Chunking Support: Provides functionality to automatically chunk large Zendesk articles into smaller, manageable documents based on token limits and configurable overlap, ensuring efficient processing.
• Zendesk Icon & Tests: Includes a new SVG icon for the Zendesk component and a thorough suite of unit tests to ensure the reliability and correctness of the document loader's functionality.

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[gemini-code-assist]

Code Review

This pull request introduces a new Zendesk document loader and credential integration. The implementation is solid, with good error handling for API requests and comprehensive tests. I've identified a few areas for improvement, primarily in the main loader implementation, focusing on adding validation for the required locale parameter, refactoring metadata handling for better robustness and clarity, and removing a misleading code comment. The accompanying tests are thorough and well-structured.

[gemini-code-assist]

This comment is misleading. It states that the process will continue with other locales if one fails, but the code throws an error, which halts execution. To avoid confusion, this comment should be removed to accurately reflect the code's behavior.