feat!: upgrade to langchain v1 (#25)

* feat!: upgrade to langchain v1

Signed-off-by: Panos Vagenas <[email protected]>

* update python versions in CI

Signed-off-by: Panos Vagenas <[email protected]>

* update python version in README

Signed-off-by: Panos Vagenas <[email protected]>

---------

Signed-off-by: Panos Vagenas <[email protected]>

Author: vagenas

.github/workflows/checks.yml

@@ -14,7 +14,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
+        python-version: ['3.10', '3.11', '3.12', '3.13', '3.14']
     steps:
       - uses: actions/checkout@v4
       - name: Install uv and set the python version

README.md

@@ -21,7 +21,8 @@ pip install langchain-docling
 
 ### Development setup
 
-To develop for Docling Core, you need Python >=3.9 <=3.13 and uv. You can then install from your local clone's root dir:
+To develop for Docling LangChain, you need Python 3.10 through 3.14 and uv. You can then install from your local clone's
+root directory:
 ```bash
 uv sync
 ```

examples/docling_loader.ipynb

@@ -131,7 +131,7 @@ def lazy_load(
                 chunk_iter = self._chunker.chunk(dl_doc)
                 for chunk in chunk_iter:
                     yield Document(
-                        page_content=self._chunker.serialize(chunk=chunk),
+                        page_content=self._chunker.contextualize(chunk=chunk),
                         metadata=self._meta_extractor.extract_chunk_meta(
                             file_path=file_path,
                             chunk=chunk,

examples/docling_picture_description.ipynb

@@ -85,4 +85,4 @@ def _annotate_images(self, images: Iterable[Image.Image]) -> Iterable[str]:
 
         responses = self.llm.batch(batch_messages)
         for resp in responses:
-            yield resp.text()
+            yield resp.text

langchain_docling/loader.py

@@ -23,17 +23,17 @@ classifiers = [
     "Intended Audience :: Science/Research",
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
 
 ]
-requires-python = "~=3.9"
+requires-python = ">=3.10,<4"  # syntax without tilde to prevent uv warning
 dependencies = [
-  "langchain-core~=0.3.19",
-  "docling~=2.18",
+  "langchain-core~=1.0",
+  "docling~=2.26",
 ]
 
 [project.urls]
@@ -78,14 +78,14 @@ langchain_docling = "langchain_docling._plugins"
 
 [tool.black]
 line-length = 88
-target-version = ["py39", "py310"]
+target-version = ["py310"]
 include = '\.pyi?$'
 preview = true
 
 [tool.isort]
 profile = "black"
 line_length = 88
-py_version = 39
+py_version = 310
 multi_line_output = 3
 include_trailing_comma = true
 
@@ -102,7 +102,7 @@ pretty = true
 no_implicit_optional = true
 namespace_packages = true
 show_error_codes = true
-python_version = "3.9"
+python_version = "3.10"
 plugins = ["pydantic.mypy"]
 
 [tool.semantic_release]

langchain_docling/picture_description.py

@@ -10,7 +10,6 @@
 from .test_data_gen_flag import GEN_TEST_DATA
 
 
-@pytest.mark.requires("docling")
 def test_load_as_markdown(monkeypatch: pytest.MonkeyPatch) -> None:
 
     mock_dl_doc = DoclingDocument.load_from_json("test/data/input/dl_doc_1.json")
@@ -46,7 +45,6 @@ def test_load_as_markdown(monkeypatch: pytest.MonkeyPatch) -> None:
         assert act_data == exp_data
 
 
-@pytest.mark.requires("docling")
 def test_load_as_doc_chunks(monkeypatch: pytest.MonkeyPatch) -> None:
 
     mock_dl_doc = DoclingDocument.load_from_json("test/data/input/dl_doc_1.json")