PR was blocked by .github/workflows/guard-fork-dependencies.yml: fork PRs
cannot modify uv.lock. Reverting:
- uv.lock + pyproject.toml black bump (24.10.0 -> 26.3.1) and the 295
files of mechanical Black 26 reformat coupled to it
- pyproject.toml diskcache extra change (kept the runtime mitigation in
litellm/caching/disk_cache.py via JSONDisk)
Kept:
- Dockerfile cache narrowing (drops ~660 MB of uv build cache that
surfaced cached setuptools as CVE findings)
- litellm/caching/disk_cache.py: dc.JSONDisk to neutralize CVE-2025-69872
- ui/litellm-dashboard/package-lock.json + litellm-js/spend-logs/package-lock.json:
next/postcss/hono/uuid CVE bumps (these are not blocked by the fork guard)
- tests/test_litellm/caching/test_disk_cache.py
- tests/code_coverage_tests/liccheck.ini: harmless black authorization
Black + gitpython + langchain dep upgrades will need a follow-up from a
maintainer pushing a branch in the canonical BerriAI/litellm repo.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Narrow /root/.cache COPY in Dockerfile to /root/.cache/prisma{,-python}
only — drops ~660MB of uv build cache including a setuptools wheel
that surfaced as CVE-2024-6345 / CVE-2025-47273 even though it was
never on the runtime sys.path.
- DiskCache: switch to dc.JSONDisk to neutralize the pickle code path
(CVE-2025-69872, no upstream fix). Values must be JSON-serializable;
cleanup get_cache to skip the now-dead json.loads(dict) branch by
guarding on isinstance(str).
- pyproject.toml: drop diskcache pin from [caching] extra (no fixed
version exists). Stub kept so `pip install litellm[caching]` doesn't
warn; users who want disk caching install diskcache themselves.
- Bump black 24.10.0 → 26.3.1 (CVE-2026-32274) + apply 296-file mechanical
reformat. Black is dev-only (not in the runtime image), but bumping
clears the manifest-scan finding.
- Refresh ui/litellm-dashboard/package-lock.json to pick up next 16.2.4
(was 16.1.7, GHSA-q4gf-8mx6-v5v3), uuid 14.0.0, postcss 8.5.13.
- Refresh litellm-js/spend-logs/package-lock.json to pick up
hono 4.12.16 (GHSA-458j-xx4x-4375).
- uv lock: gitpython 3.1.46 → 3.1.49 (clears two High GHSAs),
langchain-text-splitters 1.1.1 → 1.1.2.
- Add tests/test_litellm/caching/test_disk_cache.py covering JSONDisk
enforcement, dict/string round-trip, TTL, increment, delete/flush.
Net delta on combined trivy + grype scans: 17 findings → 4 (all
remaining 4 are Wolfi system python-3.13 CVEs marked WONTFIX upstream
in CPython 3.14; CVE-2026-3298 is Windows-unreachable on Linux).
Existing on-disk caches written by the previous pickle-format Disk
will silently miss after upgrade — diskcache is intended to be
ephemeral so impact is recreate-on-next-write.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(milvus/): initial commit adding milvus vector store support to LiteLLM
allows querying milvus vector store through litellm
* feat(bedrock/vector_stores): support translating openai filters param to aws kb
adds filtering to aws kb
* feat(milvus/): add milvus vector store unified search support
allows calling milvus vector store in through chat completions
* docs(milvus_vector_stores.md): document new milvus vector search integration
* feat(pass_through_endpoints.py): support passing form data through to a passthrough endpoint
Closes LIT-1147
* fix: fix linting errors
* fix(managed_files.py): don't raise error if managed object is not found
* feat(vector_stores): add azure ai search vector store support
Enables direct querying a vector store on azure
* fix(azure/vector_stores): working azure ai search api vector stores
allows azure direct querying on vector stores
* test: update env vars
* docs(docs/): document new azure ai vector store search
* docs(azure_ai_vector_stores.md): add table
* docs: clarify support for 'create' vector stores
* fix(vector_stores/endpoints.py): Fixes https://github.com/BerriAI/litellm/issues/14606
* fix: fix linting errors
* feat(vector_stores/): initial commit adding Vertex AI Search API support for litellm
new vector store provider
* feat(vector_store/): use vector store id for vertex ai search api
* fix: transformation.py
cleanup
* fix: implement abstract function
* fix: fix linting error
* fix: main.py
fix check
* fix: use fastuuid helper across the codebase
First batch of changes, simple drop in replacement.
* second batch of changes
* fixed: script mistake on helper file
