Updates after review and added Makefile targets for publishing

libs/partners/coherence/Makefile

@@ -8,10 +8,13 @@ RUFF := .venv/bin/ruff
 PYTEST := .venv/bin/pytest
 MYPY := .venv/bin/mypy
 
+PACKAGE_NAME=langchain-coherence
+DIST_DIR=dist
+
 install:
 	@echo "🔧 Installing all dependencies..."
 	uv venv
-	uv pip install -e .[lint,typing,test,docs]
+	uv pip install -e .[lint,typing,test,docs,publish]
 
 update-dev:
 	@echo "🔄 Updating development dependencies..."
@@ -51,7 +54,17 @@ test:
 
 clean:
 	@echo "🧹 Cleaning build/test artifacts..."
-	rm -rf .pytest_cache .mypy_cache .ruff_cache .venv .uv __pycache__ *.egg-info dist build
+	rm -rf .pytest_cache .mypy_cache .ruff_cache __pycache__ *.egg-info dist build
+
+build:
+	@echo "🧱 Building distribution using local virtualenv"
+	$(PYTHON) -m build --no-isolation
+
+upload-pypi:
+	@echo "🚀 Uploading to PyPI"
+	$(PYTHON) -m twine upload dist/*
+
+publish: build upload-pypi
 
 help:
 	@echo "🛠 Available Make targets:"
@@ -63,6 +76,9 @@ help:
 	@echo "  lint          - Run linter and mypy"
 	@echo "  fix           - Autoformat and fix issues"
 	@echo "  test          - Run all tests"
+	@echo "  build         - Building distribution using local virtualenv"
+	@echo "  upload-pypi   - Uploading to PyPI"
+	@echo "  publish       - calls build, upload-pypi"
 	@echo "  clean         - Remove temp and build files"
 
 

libs/partners/coherence/langchain_coherence/coherence_store.py

@@ -378,7 +378,7 @@ class CoherenceVectorStore(VectorStore):
     async def asimilarity_search(
         self, query: str, k: int = 4, **kwargs: Any
     ) -> list[Document]:
-        """Async method return docs most similar to query.
+        """Async method return list of docs most similar to query.
 
         Args:
             query: Input text.
@@ -423,7 +423,7 @@ class CoherenceVectorStore(VectorStore):
     async def asimilarity_search_by_vector(
         self, embedding: list[float], k: int = 4, **kwargs: Any
     ) -> list[Document]:
-        """Async method return docs most similar to passed embedding vector.
+        """Async method return list of docs most similar to passed embedding vector.
 
         Args:
             embedding: Input vector.
@@ -466,7 +466,7 @@ class CoherenceVectorStore(VectorStore):
     async def asimilarity_search_with_score(
         self, query: str, k: int = 4, **kwargs: Any
     ) -> list[tuple[Document, float]]:
-        """Async method return list tuple(Document, score) most similar to query.
+        """Async method return list of tuple(Document, score) most similar to query.
 
         Args:
             query: Input text.
@@ -529,7 +529,7 @@ class CoherenceVectorStore(VectorStore):
         metadatas: Optional[list[dict[str, Any]]] = None,
         **kwargs: Any,
     ) -> CoherenceVectorStore:
-        """Asynchronously initialize CoherenceVectorStore from texts and embeddings.
+        """Asynchronously initialize the CoherenceVectorStore from texts and embeddings.
 
         Args:
             texts: List of input text strings.
@@ -539,7 +539,6 @@ class CoherenceVectorStore(VectorStore):
                 - cache: Required Coherence NamedCache[str, Document] instance.
                 - ids: Optional list of document IDs.
 
-
         Returns:
             CoherenceVectorStore: An initialized and populated vector store.
 

libs/partners/coherence/pyproject.toml

@@ -32,7 +32,10 @@ docs = [
     "jupytext>=1.16",
     "nbdoc>=0.0.29",
 ]
-
+publish = [
+    "build",
+    "twine"
+]
 [tool.mypy]
 strict = "True"
 disallow_untyped_defs = "True"

libs/partners/coherence/uv.lock

@@ -1336,7 +1336,7 @@ wheels = [
 
 [[package]]
 name = "langchain-coherence"
-version = "0.0.1.dev0"
+version = "0.0.1"
 source = { virtual = "." }
 dependencies = [
     { name = "coherence-client" },