* test: use monkeypatch.setenv for env writes in tests/test_litellm
`os.environ["X"] = v` inside a test leaks the value into every test that runs
after it in the same worker, so ordering decides the result. 262 of those
writes across 40 files now go through pytest's `monkeypatch` fixture, which
restores the previous value at teardown.
The rewrite skips any test that a mock.patch-family decorator wraps, any test
with defaulted positional parameters, any test whose own name is called
directly elsewhere, and rebinds nothing inside nested defs, because in each of
those cases appending a fixture parameter changes what pytest or mock binds.
Ratchets the TQ004 ceiling from 768 to 506.
* fix(test): delete the key through monkeypatch instead of popping it first
Five tests popped a key straight out of `os.environ`, ran, then restored it with
`monkeypatch.setenv`. By the time monkeypatch saw the name it was already gone,
so it recorded "absent" as the value to go back to and deleted the key at
teardown. On a worker that inherited a real `RESEND_API_KEY`, `SENDGRID_API_KEY`,
`UI_PASSWORD`, `LITELLM_SALT_KEY` or `OPENAI_API_KEY`, every test after the first
one ran without it.
`monkeypatch.delenv(..., raising=False)` removes the key and restores whatever
was there, so the try/finally the manual restore needed goes with it.
* chore(test): leave the two cost-calc files to the PR that rewrites them fully
Both files are also in #37815, which converts the module-global writes as well
as the env writes and folds them into one fixture. Two PRs rewriting the same
lines differently is a conflict nobody benefits from resolving, so this one
drops back to staging on those two and keeps the other 39.
TQ004 clears 200 here instead of 275; the rest moves with #37815.
* Add support for DataRobot as a router in LiteLLM
* Updates to logic
* Changes to make things work better
* Capitalize bearer
* Revert change
* Undo and simplify things
* Add basic testing
* Add some extra handling
* More tests
* Lowercase
* Fix
* Comment
* Add local test_completion for datarobot
* Sync repo to main
* Update get_complete_url to accept deployments
* Migrate to OpenAILike
* Mock datarobot in test
* Migrate everything to OpenAI LIke
* Apply fixes and changes from review
* Update docs
* Update env vars
* Move tests
