Add lint github action

.github/workflows/test.yml

@@ -7,7 +7,26 @@ on:
   workflow_dispatch:
 
 jobs:
+  lint:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: astral-sh/setup-uv@v4
+        with:
+          enable-cache: true
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: "pyproject.toml"
+      - name: Install dependencies
+        run: uv sync --all-extras
+      - name: Lint
+        run: uv run ruff check
+      - name: Type check
+        run: uv run pyright
+
   test:
+    needs: lint
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v4
@@ -22,7 +41,3 @@ jobs:
         run: uv sync --all-extras
       - name: Run tests
         run: uv run pytest
-      - name: Type check
-        run: uv run pyright
-      - name: Lint
-        run: uv run ruff check

CHANGELOG.md

@@ -1,6 +1,18 @@
 # Changelog
 ## [Unreleased]
 
+### Added
+
+- **GitHub Actions CI**: Test workflow runs pytest, pyright, and ruff on push/PR to main
+- **VCR Cassette Recording**: Integration tests use recorded HTTP responses for deterministic CI runs
+  - LLM tests (QA, embeddings, research graph) replay from cassettes without real API calls
+  - docling-serve tests run without Docker container in CI
+  - Uses pytest-recording with custom JSON body serializer
+
+### Removed
+
+- Removed obsolete `test_config_validation_on_db_load` test (chunk_size changes don't invalidate database)
+
 ## [0.23.0] - 2025-12-26
 
 ### Added

tests/test_qa.py

@@ -1,3 +1,4 @@
+import importlib.util
 from pathlib import Path
 
 import pytest
@@ -8,6 +9,8 @@ from haiku.rag.client import HaikuRAG
 from haiku.rag.config.models import ModelConfig
 from haiku.rag.qa.agent import QuestionAnswerAgent
 
+HAS_ANTHROPIC = importlib.util.find_spec("anthropic") is not None
+
 
 @pytest.fixture(scope="module")
 def vcr_cassette_dir():
@@ -63,6 +66,7 @@ async def test_qa_openai(allow_model_requests, qa_corpus: Dataset, temp_db_path)
 
 
 @pytest.mark.vcr()
+@pytest.mark.skipif(not HAS_ANTHROPIC, reason="Anthropic not installed")
 async def test_qa_anthropic(allow_model_requests, qa_corpus: Dataset, temp_db_path):
     """Test Anthropic QA with LLM judge (VCR recorded)."""
     client = HaikuRAG(temp_db_path, create=True)