Mount /app/.cache/uv as a BuildKit type=cache on both 'uv sync' steps.
The cache persists across builds on the same builder (and, when used
with type=gha in CI, across CI runs) so repeat builds don't re-download
every wheel.
Side-effect: because the cache lives outside the image layer, the
~742MB of downloaded wheel archives that were previously baked into
/app/.cache/uv drop out of the final image. Compressed image size
goes from ~5.0GB to ~3.7GB, and the 'USER nobody' prisma-generate
layer is 1.7GB vs 2.4GB.
Warm-build timing: a uv-sync-invalidating edit now takes ~1m30s vs
~2m39s without the cache mount, on this dev VM.
API parity and UI visual regression continue to match baseline.
Trivy HIGH/CRITICAL: 6 at baseline -> 2 now, no new CVEs.
Co-authored-by: yuneng-jiang <yuneng-berri@users.noreply.github.com>
After Task 2.1 removed the in-image Next.js build, the builder stage no
longer needs a full C/C++ + Clang toolchain. Keep gcc + python3-dev
(required to compile ml-dtypes 0.4.1 from source — no wheel published
for Python 3.13 yet). Drop everything else.
Removed from apk: clang, llvm, lld, linux-headers, build-base,
openssl-dev, npm. Removed NVM_DIR env and /root/.nvm from PATH
(no nvm-based Node install anymore).
Kept: python3, python3-dev, gcc, bash, coreutils, curl, openssl,
libsndfile, nodejs. gcc (15.2) serves both C and C++; the separate
g++ package doesn't exist in Wolfi.
Image size unchanged (builder stage doesn't end up in the runtime);
cold builds slightly slower due to ml-dtypes source compile, but that
will be recovered in the next task via a BuildKit uv cache mount.
API parity and UI visual regression both match baseline, Trivy
HIGH/CRITICAL CVE count unchanged from opt-2 (4 CVEs, none new).
Co-authored-by: yuneng-jiang <yuneng-berri@users.noreply.github.com>
npm was installed in the runtime only to globally install vulnerability
patched versions of tar/glob/brace-expansion/minimatch/diff and to
in-place rewrite npm's own bundled package.json. Both were to silence
CVE scanners against modules that ship with npm itself.
Since we no longer run npm anywhere in the runtime (Prisma uses the
node binary directly for migrate deploy and generate), we can just
skip installing npm in the first place. This eliminates both the
~25-line CVE-patch shuffle AND the underlying CVE surface.
Kept: nodejs (needed by prisma-python's CLI and migrate deploy).
Removed: npm apk package, all 'npm install -g', all find+sed patching,
the redundant 'apk upgrade --no-cache nodejs' (already covered by the
preceding 'apk upgrade').
Image: 4.97GB (opt-1) -> 4.97GB (opt-2); the real win is that two
CVEs (CVE-2026-33671 and GHSA-q4gf-8mx6-v5v3) drop off the Trivy
HIGH/CRITICAL list. No new CVEs introduced. API parity and UI
visual regression both match baseline.
Co-authored-by: yuneng-jiang <yuneng-berri@users.noreply.github.com>
The checked-in Next.js static export at litellm/proxy/_experimental/out/
is kept fresh by the UI Drift Guard CI workflow. Stage it directly
instead of re-running npm ci + npm run build inside the image.
This removes: nvm install, node 20.20.2 install, npm ci (801 pkgs),
next build, and the resulting intermediate node_modules/out tree.
Build time: ~6m25s -> ~2m (fuse-overlayfs DinD); image 6.57GB -> 5.0GB.
Behavior parity verified: API endpoints, UI screenshots (all 10 routes
pixel-perfect), and Trivy HIGH/CRITICAL CVE count (6 -> 5, one npm
GHSA removed) all match or improve over baseline.
Co-authored-by: yuneng-jiang <yuneng-berri@users.noreply.github.com>
Adds a CI job that rebuilds the admin UI from source and fails if the
committed static export at litellm/proxy/_experimental/out/ has drifted
from what npm run build produces. This prevents silently shipping stale
UI bytes and is a prerequisite for the non_root Dockerfile streamlining
work, which will stage the UI from _experimental/out/ directly instead
of rebuilding it inside the image.
Also regenerates litellm/proxy/_experimental/out/ to match a fresh
npm run build (Node 20.20.2) — the committed tree had drifted from
source prior to this commit.
Co-authored-by: yuneng-jiang <yuneng-berri@users.noreply.github.com>
* bump litellm-proxy-extras version to 0.4.67
* bump litellm-proxy-extras pin to 0.4.67 in litellm pyproject
* regenerate uv.lock for litellm-proxy-extras 0.4.67
* bump litellm-enterprise version to 0.1.38
* bump litellm-enterprise pin to 0.1.38 in litellm pyproject
* regenerate uv.lock for litellm-enterprise 0.1.38
send_max_budget_alert_email previously guarded with `is not None`, which
accepts `[]` and then crashes on `recipient_emails[0]` inside
_get_email_params. The current caller (_handle_multi_threshold_max_budget_alert)
already filters empty lists upstream, but the public method signature makes
no such guarantee — a future caller passing [] would hit IndexError.
Switch to truthiness so both None and [] fall through to the single-recipient
path.
Per-user OAuth MCP requests now only skip pre-emptive 401 when a stored token is available, preserving token-reuse behavior while restoring fast PKCE kickoff for first-time or missing-token users.
The lazy import from litellm_enterprise inside _normalize_alert_emails
coupled the core proxy auth path to an optional package. Core should not
depend on enterprise, even lazily — it hides the dependency from static
analysis and inverts the intended layering.
Duplicate the 7-line parser locally. It's pure and unlikely to drift; the
enterprise copy stays where it is for its own callers.
_merge_budget_alert_email_configs previously called list() directly on each
threshold's value, which raised TypeError on null YAML values and silently
split bare strings into single characters. Both are reachable from user-
supplied global config and per-key metadata, so the crash could fire on
every authenticated request once the metadata was in place.
Route both inputs through a _normalize_alert_emails helper that delegates
to the existing _parse_email_list parser (lazy-imported, matching the
enterprise import pattern used elsewhere in proxy/). The merge body keeps
its tight Dict[str, List[str]] contract.
The Union[str, List[str]] value type was speculative — _merge_budget_alert_email_configs
always returns List[str] values, and no caller produces bare strings. Narrowing to
match the runtime guarantee resolves a mypy invariance error at auth_checks.py:3021
without adding casts or Mapping covariance.
A previous refactor added `litellm/integrations/prometheus_helpers.py` as a
sibling to the existing `litellm/integrations/prometheus_helpers/` directory
(which contains `prometheus_api.py` and has no `__init__.py`). The file
shadowed the namespace-package directory, so any deferred
`from litellm.integrations.prometheus_helpers.prometheus_api import ...`
raised `ModuleNotFoundError: 'litellm.integrations.prometheus_helpers' is
not a package` at request time.
Two runtime call sites hit that path:
- /global/spend/logs (spend_management_endpoints.py) returned plain-text 500
"Internal Server Error" for every call, breaking the Admin UI Usage tab
and programmatic consumers.
- SlackAlerting.send_fallback_stats_from_prometheus silently failed inside
its own try/except.
Fix: move prometheus_helpers.py content into prometheus_helpers/__init__.py
and delete the stray .py. The directory becomes a regular package, so both
the package-root import (from ...prometheus_helpers import X) and the
submodule import (from ...prometheus_helpers.prometheus_api import X)
resolve correctly. No call sites change.
Six CI jobs create a miniconda env with python=3.9 before installing
the project; these jobs now fail resolution because the project
requires-python is >=3.10. Bump the conda env python to 3.10 to match
the new floor.
All three dependency bumps in this PR resolve on Python 3.10, so there
is no need to jump the floor all the way to 3.11. Also restore the
py3.10-specific lunary==1.4.36 pin that was collapsed when the floor
was temporarily at 3.11.
Now that requires-python starts at 3.11, the "python_version >= '3.9'"
and ">= '3.10'" markers are unconditionally true, and the "< '3.10'"
entries for psycopg, Pillow, pyarrow, langchain, lunary, and pylint can
never resolve. Drop the dead markers and remove the unreachable pins so
the dependency list reflects what actually gets installed.
Premium fields like policies are echoed at the top level of the
/key/update response, not necessarily mirrored into metadata. Read
metadata first then fall back to the top-level property so an
intentional clear is preserved in either shape.
The /key/update response echoes top-level defaults like policies:[] into
client state. On a subsequent edit, the form resends policies:[], which
the backend treats as "user is setting policies" and blocks with a 403
enterprise check regardless of value.
Drop premium metadata fields from the update payload when the current
form value and the previously persisted value are both empty. Genuine
clears (non-empty -> empty) still pass through so premium users can
clear policies as intended.
Bumps orjson, fastapi-sso, and python-multipart to their latest releases
in the proxy extra, and raises the project python floor to 3.11 so the
updated pins can resolve. CI already runs on 3.11 / 3.12 / 3.13 and the
Docker images ship python 3.13, so the floor change aligns the declared
support range with what is actually tested and shipped.
Move async_log_success_event pipeline construction into
_build_success_event_pipeline_operations so the async hook stays
under Ruff's max-statement limit.
Made-with: Cursor
`should_create_missing_views()` had `and result[0]["reltuples"]` which is
falsy when reltuples=0. On a fresh empty PostgreSQL table, CREATE INDEX sets
reltuples=0, causing the guard to return False and skip view creation entirely.
Views like MonthlyGlobalSpendPerKey are never created, and the
/global/spend/logs endpoint returns 500.
Fix: change to `and result[0]["reltuples"] is not None` so reltuples=0
(empty table) and reltuples=-1 (unanalyzed table) both correctly return True.
Also harden test_vertex_ai.py to return None instead of crashing with
JSONDecodeError when the spend-logs endpoint returns a non-JSON 500 response,
and add unit tests covering all three reltuples branches (0, -1, positive).
Without this, project-level model_tpm_limit was silently acting as an
RPM cap — the pre-call +1 sentinel was tracked but the actual token
count was never added after a successful call.
Extracts user_api_key_project_id from standard_logging_metadata and
adds a model_per_project pipeline operation matching the existing
model_per_team and model_per_organization patterns.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Cursor Agent