Update prompt-engineering materials for the rewritten tutorial - #851
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The tutorial has been rewritten around a different project. It now classifies support conversations against an explicit follow-up policy using the Responses API with structured output, and evaluates prompts against development and held-out cases. Replace the old sentiment/sanitizing project (app.py, settings.toml, chats.txt and friends) with the new one: - classify.py, try_prompt.py, cases.py, evaluate.py, evaluate_test.py - baseline.txt, policy.txt, examples.txt - requirements.txt pinned to openai==3.14.1 and pydantic==2.13.5 - README rewritten for the new project All scripts were run against the live API on Python 3.14.7. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Switch the default model from gpt-5.6-luna to gpt-6-luna, pin openai==3.26.0, and note Python 3.14.8 as the tested version, matching the updated tutorial (CMS post 2143). Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
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Materials for the Prompt Engineering: A Practical Example full update (Trello 1513, CMS post 2143).
Draft on purpose
Don't merge until the updated tutorial goes live. The current live article still documents the old project, so merging this now would break it.
What changed
The tutorial was rewritten around a different project, so this replaces the folder's contents rather than editing them.
Removed (old sentiment-analysis/sanitizing project): app.py, settings.toml, settings-final.toml, chats.txt, sanitized-chats.txt, testing-chats.txt, sanitized-testing-chats.txt
Added:
Updated: README.md rewritten for the new project, requirements.txt pinned to openai==3.14.1 and pydantic==2.13.5 (was openai==1.13.3).
Verification
Every script was run against the live OpenAI API on Python 3.14.7, using the files exactly as committed:
Exact-quote scores vary between runs, which is the point the tutorial makes about rerunning a comparison before attributing a difference to your prompt.
Note on model pinning
classify.py uses the gpt-5.6-luna alias. The 5.6 and 6 families currently have no dated snapshots (confirmed via client.models.list()), so there's nothing to pin to. The scripts record which model answered each request instead, and the README explains the alias/snapshot distinction.
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