Skip to content

Conversation

@BEASTSHRIRAM
Copy link
Contributor

PR Description:

shows how to integrate external ML model APIs with ServiceNow to get AI predictions.

What's Included

  • Script Include to call ML prediction APIs
  • RESTMessageV2 integration example
  • Error handling and logging

Use Cases

  • Predict incident resolution time
  • Auto-classify tickets
  • Get risk scores
  • Smart assignment recommendations
  • Thank you for the opportunity to contribute

Pull Request Checklist

Overview

  • Put an x inside of the square brackets to check each item.
  • I have read and understood the CONTRIBUTING.md guidelines
  • My pull request has a descriptive title that accurately reflects the changes and the description has been filled in above.
  • I've included only files relevant to the changes described in the PR title and description
  • I've created a new branch in my forked repository for this contribution

Code Quality

  • My code is relevant to ServiceNow developers
  • My code snippets expand meaningfully on official ServiceNow documentation (if applicable)
  • I've disclosed use of ES2021 features (if applicable)
  • I've tested my code snippets in a ServiceNow environment (where possible)

Repository Structure Compliance

  • I've placed my code snippet(s) in one of the required top-level categories:
    • Core ServiceNow APIs/
    • Server-Side Components/
    • Client-Side Components/
    • Modern Development/
    • Integration/
    • Specialized Areas/
  • I've used appropriate sub-categories within the top-level categories
  • Each code snippet has its own folder with a descriptive name

Documentation

  • I've included a README.md file for each code snippet
  • The README.md includes:
    • Description of the code snippet functionality
    • Usage instructions or examples
    • Any prerequisites or dependencies
    • (Optional) Screenshots or diagrams if helpful

Restrictions

  • My PR does not include XML exports of ServiceNow records
  • My PR does not contain sensitive information (passwords, API keys, tokens)
  • My PR does not include changes that fall outside the described scope

- Added MLDataExporter Script Include to query and format incident data
- Added Scripted REST API endpoint to expose incident data for ML pipeline
- Includes concise README with use cases and implementation guide
- Follows Integration category for external system data export patterns
- Code is production-ready with proper error handling and logging
- Created Script Include to call external ML prediction APIs
- Includes concise documentation with real-world use cases
- Shows how to send incident data and receive predictions
- Production-ready with error handling and logging
@BEASTSHRIRAM
Copy link
Contributor Author

Why ServiceNow devs need this: It's the pattern for any real-time AI integration - from chatbot responses to risk scoring to auto-categorization. Instead of exporting data (PR #2534), this shows how to GET predictions IN REAL-TIME per record.

@rohi-v rohi-v self-assigned this Oct 27, 2025
@rohi-v
Copy link
Contributor

rohi-v commented Oct 27, 2025

Thanks for your submission.

It appears that this pull request contains more files than described in the title. Please review and update the pull request to either remove the extra/unintended files [If applicable: You can create a new branch on your forked repository to avoid accidental inclusions of new commits in the future.].

Closing this for now. Once you make additional changes, feel free to re-open this Pull Request or create a new one.

@rohi-v rohi-v closed this Oct 27, 2025
@BEASTSHRIRAM BEASTSHRIRAM deleted the feature/ml-model-api-integration branch October 27, 2025 16:39
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants