Build an AI Changelog Generator in Python

Telnyx released a Python example that uses its AI Inference API to generate structured changelog JSON from commit messages or git diffs. The Flask app exposes endpoints to generate, list, and retrieve changelogs, storing them in memory with unique IDs. The project is available on GitHub as part of Telnyx's code examples repository.

Writing changelogs is one of those developer tasks that sounds simple until you are staring at a messy commit history. Some commits matter to users. Some are internal cleanup. Some are merge commits. Some are meaningful only if you already know the codebase. I built a small Python example that turns commit messages or git diffs into structured changelog JSON using Telnyx AI Inference. Code: https://github.com/team-telnyx/telnyx-code-examples/tree/main/changelog-generator-python https://github.com/team-telnyx/telnyx-code-examples/tree/main/changelog-generator-python The Flask app exposes: POST /generate POST /generate/from-diff GET /changelogs GET /changelogs/<id GET /health POST /generate accepts a list of commit messages: { "version": "v1.4.0", "repo name": "billing-service", "commits": "feat: add Stripe webhook retry with exponential backoff", "fix: correct tax calculation for EU VAT exemption", "docs: update API reference for invoice endpoint" } The app asks Telnyx AI Inference to return grouped changelog JSON with sections like: There is also a POST /generate/from-diff endpoint if you want to summarize a git diff instead of commit messages. For a changelog tool, plain text is useful, but structured output is more flexible. If the response comes back as JSON, you can: The example stores generated changelogs in memory and gives each one an ID, so you can list recent changelogs or retrieve a specific one. Clone the examples repo: git clone https://github.com/team-telnyx/telnyx-code-examples.git cd telnyx-code-examples/changelog-generator-python Create your .env file: cp .env.example .env Add your Telnyx API key: TELNYX API KEY=your telnyx api key AI MODEL=moonshotai/Kimi-K2.6 HOST=127.0.0.1 Install and run: pip install -r requirements.txt python app.py Try it: curl -X POST http://localhost:5000/generate \ -H "Content-Type: application/json" \ -d '{ "version": "v1.4.0", "repo name": "billing-service", "commits": "feat: add Stripe webhook retry with exponential backoff", "fix: correct tax calculation for EU VAT exemption", "docs: update API reference for invoice endpoint" }' | python3 -m json.tool This is a small example, but it is a pretty practical developer tooling pattern: The Telnyx code examples repo is also agent-readable, so you can use this example as a starting point and ask a coding agent to add GitHub integration, tag comparison, a UI, or a docs publishing step.