docs(pr-template): add a User Flow section with authoring instructions (#36162)

Adds a User Flow section right below the TLDR so every PR describes the same end user doing the same task before and after the change, plus comment instructions and a worked example so contributors can write it without any local tooling.
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Mateo Wang 2026-08-07 11:32:30 -07:00 committed by GitHub
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@ -13,6 +13,33 @@ How it solves it:
- <blah>
- ...
## User Flow
<!-- Two ordered lists, Before and After, walking the same end user through the same task, written strictly from that user's seat
Read the linked issue, ticket, or customer thread first so the flow reflects the real application and the routes its users actually hit; don't invent a generic scenario
Lead each list with one plain sentence saying where the flow fails (Before) or succeeds (After), then number the steps
Every step is something the user does or observes: the HTTP method and full URL they hit, what they sent, and what visibly came back (status code, error text, the shape of an ID). UI steps name the page URL and what is on screen
No LiteLLM internals: never name functions, files, DB tables, config classes, hooks, callbacks, or code paths. "The upload hands back an ID that looks like OpenAI's own `file-abc123` instead of the scrambled one the gateway returned" is right, "no managed-file row was registered" is wrong
Keep the two lists step-for-step identical until they diverge, so the changed step is obvious
If the bug had a security or authorization consequence, end each list with what another user could or could no longer do
Regenerate this section whenever new commits change the PR's behavior, so it never describes an older revision
Example:
Before: a developer whose app streams chat completions gets no token counts back, so their cost dashboard reads zero
1. They send POST https://litellm-domain/v1/chat/completions with `"stream": true` and no `stream_options`
2. The last SSE chunk arrives with `"usage": null`, so their app records 0 prompt and 0 completion tokens
3. They open https://litellm-domain/ui/?page=logs and see the request logged at $0 spend
After: the same request comes back with real token counts, so the dashboard shows real spend
1. The proxy admin sets `always_include_stream_usage: true` and restarts the proxy
2. The developer sends the same POST https://litellm-domain/v1/chat/completions with `"stream": true` and no `stream_options`
3. The last SSE chunk now carries a `usage` object with real prompt and completion token counts
4. https://litellm-domain/ui/?page=logs shows that request at non-zero spend
-->
## Relevant issues
<!-- e.g., "Fixes #000" -->