https://github.com/conoro/azure-ai-model-retirements-rss
RSS Feed for Azure AI Model retirements
https://github.com/conoro/azure-ai-model-retirements-rss
Last synced: 8 months ago
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RSS Feed for Azure AI Model retirements
- Host: GitHub
- URL: https://github.com/conoro/azure-ai-model-retirements-rss
- Owner: conoro
- Created: 2025-08-15T05:39:00.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-10-05T18:03:10.000Z (9 months ago)
- Last Synced: 2025-10-05T20:20:35.115Z (9 months ago)
- Language: Python
- Size: 65.4 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Azure OpenAI "Current models" Retirement Scraper
## What it does
- Scrapes Microsoft's Learn page for Azure OpenAI model retirements:
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/model-retirements
- Extracts ONLY the **Current models** tables (ignores Fine-tuned and Default) across:
- Text (Text generation)
- Audio
- Image and video
- Embedding
- Produces a combined CSV with a **Type** column.
- Persists a local JSON snapshot for change detection between runs.
- Writes an RSS feed with items for **new rows** or **field changes** (e.g., Retirement date changes).
THIS IS THE RSS FEED URL you want if you just want the info: `https://conoro.github.io/azure-ai-model-retirements-rss/rss.xml`
## Using in Slack
- make sure the built-in RSS app is installed in your workspace
- add the RSS feed URL to a channel using `/feed add https://conoro.github.io/azure-ai-model-retirements-rss/rss.xml`
# These steps only needed if running it yourself
## Install
```bash
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
```
## Run
```bash
python scrape_ms_retirements.py
# Or focus only on Text models:
python scrape_ms_retirements.py --only text
```
## Outputs
- **CSV:** `/mnt/data/ms_model_retirements/output/current_models.csv`
- **RSS:** `/mnt/data/ms_model_retirements/output/rss.xml`
- **State:** `/mnt/data/ms_model_retirements/data/snapshot.json`
## Notes
- First run creates a baseline snapshot and a single RSS item noting the baseline.
- Subsequent runs include items for NEW rows and for any field updates among:
Lifecycle status, Retirement date, Replacement model.
- The feed uses the page's tab query param in item links (e.g., `?tabs=text`) based on the row Type.
## GitHub Actions
Add this file to your repo: `.github/workflows/retirements.yml` (included here). It runs the scraper twice per day
(06:00 and 18:00 UTC), then commits any changes to:
- `output/current_models.csv`
- `output/rss.xml`
- `data/snapshot.json`
Make sure your repository settings allow workflows to create commits:
- No extra secrets are needed; it uses the default `GITHUB_TOKEN` with `contents: write` permission.