docker(deps): Bump astral-sh/uv

Bumps [astral-sh/uv](https://github.com/astral-sh/uv) from 0.10.0-python3.12-trixie-slim to 0.10.4-python3.12-trixie-slim.
- [Release notes](https://github.com/astral-sh/uv/releases)
- [Changelog](https://github.com/astral-sh/uv/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/uv/compare/0.10.0...0.10.4)

---
updated-dependencies:
- dependency-name: astral-sh/uv
  dependency-version: 0.10.4-python3.12-trixie-slim
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/workflows/ci-backend.yml

@@ -129,6 +129,7 @@ jobs:
         run: |
           uv pip list
       - name: Check typing (pyrefly)
+        continue-on-error: true
         run: |
           uv run pyrefly \
             check \
@@ -143,6 +144,7 @@ jobs:
             ${{ runner.os }}-mypy-py${{ env.DEFAULT_PYTHON }}-
             ${{ runner.os }}-mypy-
       - name: Check typing (mypy)
+        continue-on-error: true
         run: |
           uv run mypy \
             --show-error-codes \

Dockerfile

@@ -30,7 +30,7 @@ RUN set -eux \
 # Purpose: Installs s6-overlay and rootfs
 # Comments:
 #  - Don't leave anything extra in here either
-FROM ghcr.io/astral-sh/uv:0.10.0-python3.12-trixie-slim AS s6-overlay-base
+FROM ghcr.io/astral-sh/uv:0.10.5-python3.12-trixie-slim AS s6-overlay-base
 
 WORKDIR /usr/src/s6
 

src/paperless_ai/embedding.py

@@ -23,6 +23,7 @@ def get_embedding_model() -> BaseEmbedding:
             return OpenAIEmbedding(
                 model=config.llm_embedding_model or "text-embedding-3-small",
                 api_key=config.llm_api_key,
+                api_base=config.llm_endpoint or None,
             )
         case LLMEmbeddingBackend.HUGGINGFACE:
             return HuggingFaceEmbedding(

src/paperless_ai/tests/test_embedding.py

@@ -65,12 +65,14 @@ def test_get_embedding_model_openai(mock_ai_config):
     mock_ai_config.return_value.llm_embedding_backend = LLMEmbeddingBackend.OPENAI
     mock_ai_config.return_value.llm_embedding_model = "text-embedding-3-small"
     mock_ai_config.return_value.llm_api_key = "test_api_key"
+    mock_ai_config.return_value.llm_endpoint = "http://test-url"
 
     with patch("paperless_ai.embedding.OpenAIEmbedding") as MockOpenAIEmbedding:
         model = get_embedding_model()
         MockOpenAIEmbedding.assert_called_once_with(
             model="text-embedding-3-small",
             api_key="test_api_key",
+            api_base="http://test-url",
         )
         assert model == MockOpenAIEmbedding.return_value