core[patch]: Release 0.3.1 (#26581)

Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core,
experimental, etc. is being modified. Use "docs: ..." for purely docs
changes, "templates: ..." for template changes, "infra: ..." for CI
changes.
  - Example: "community: add foobar LLM"


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [ ] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.


- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>

.github/DISCUSSION_TEMPLATE/q-a.yml

@@ -96,27 +96,22 @@ body:
   - type: textarea
     id: system-info
     attributes:
-      label: System Info
       description: |
-        Please share your system info with us. 
+        Please share your system info with us. Do NOT skip this step and please don't trim
+        the output. Most users don't include enough information here and it makes it harder
+        for us to help you.
         
-        "pip freeze | grep langchain" 
-        platform (windows / linux / mac)
-        python version
-        
-        OR if you're on a recent version of langchain-core you can paste the output of:
+        Run the following command in your terminal and paste the output here:
         
         python -m langchain_core.sys_info
+        
+        or if you have an existing python interpreter running:
+        
+        from langchain_core import sys_info
+        sys_info.print_sys_info()
+        
+        alternatively, put the entire output of `pip freeze` here.
       placeholder: |
-        "pip freeze | grep langchain"
-        platform
-        python version
-        
-        Alternatively, if you're on a recent version of langchain-core you can paste the output of:
-        
         python -m langchain_core.sys_info
-        
-        These will only surface LangChain packages, don't forget to include any other relevant
-        packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
     validations:
       required: true

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -96,25 +96,21 @@ body:
     attributes:
       label: System Info
       description: |
-        Please share your system info with us. 
+        Please share your system info with us. Do NOT skip this step and please don't trim
+        the output. Most users don't include enough information here and it makes it harder
+        for us to help you.
         
-        "pip freeze | grep langchain" 
-        platform (windows / linux / mac)
-        python version
-        
-        OR if you're on a recent version of langchain-core you can paste the output of:
+        Run the following command in your terminal and paste the output here:
         
         python -m langchain_core.sys_info
+        
+        or if you have an existing python interpreter running:
+        
+        from langchain_core import sys_info
+        sys_info.print_sys_info()
+        
+        alternatively, put the entire output of `pip freeze` here.
       placeholder: |
-        "pip freeze | grep langchain"
-        platform
-        python version
-        
-        Alternatively, if you're on a recent version of langchain-core you can paste the output of:
-        
         python -m langchain_core.sys_info
-        
-        These will only surface LangChain packages, don't forget to include any other relevant
-        packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
     validations:
       required: true

.github/scripts/get_min_versions.py

@@ -21,7 +21,14 @@ MIN_VERSION_LIBS = [
     "SQLAlchemy",
 ]
 
-SKIP_IF_PULL_REQUEST = ["langchain-core"]
+# some libs only get checked on release because of simultaneous changes in
+# multiple libs
+SKIP_IF_PULL_REQUEST = [
+    "langchain-core",
+    "langchain-text-splitters",
+    "langchain",
+    "langchain-community",
+]
 
 
 def get_min_version(version: str) -> str:
@@ -70,7 +77,7 @@ def get_min_version_from_toml(
     for lib in set(MIN_VERSION_LIBS + (include or [])):
         if versions_for == "pull_request" and lib in SKIP_IF_PULL_REQUEST:
             # some libs only get checked on release because of simultaneous
-            # changes
+            # changes in multiple libs
             continue
         # Check if the lib is present in the dependencies
         if lib in dependencies:
@@ -88,7 +95,6 @@ def get_min_version_from_toml(
                     if check_python_version(python_version, vs["python"])
                 ][0]["version"]
 
-
             # Use parse_version to get the minimum supported version from version_string
             min_version = get_min_version(version_string)
 

.github/workflows/_test.yml

@@ -58,7 +58,7 @@ jobs:
         env:
           MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
         run: |
-          poetry run pip install --force-reinstall $MIN_VERSIONS --editable .
+          poetry run pip install $MIN_VERSIONS
           make tests
         working-directory: ${{ inputs.working-directory }}
 

docs/docs/how_to/add_scores_retriever.ipynb

@@ -206,7 +206,7 @@
     "    ) -> List[Document]:\n",
     "        \"\"\"Get docs, adding score information.\"\"\"\n",
     "        docs, scores = zip(\n",
-    "            *vectorstore.similarity_search_with_score(query, **search_kwargs)\n",
+    "            *self.vectorstore.similarity_search_with_score(query, **search_kwargs)\n",
     "        )\n",
     "        for doc, score in zip(docs, scores):\n",
     "            doc.metadata[\"score\"] = score\n",

docs/docs/how_to/chat_models_universal_init.ipynb

@@ -15,43 +15,15 @@
     "\n",
     "Make sure you have the integration packages installed for any model providers you want to support. E.g. you should have `langchain-openai` installed to init an OpenAI model.\n",
     "\n",
-    ":::\n",
-    "\n",
-    ":::info Requires ``langchain >= 0.2.8``\n",
-    "\n",
-    "This functionality was added in ``langchain-core == 0.2.8``. Please make sure your package is up to date.\n",
-    "\n",
     ":::"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "165b0de6-9ae3-4e3d-aa98-4fc8a97c4a06",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2024-09-10T20:22:32.858670Z",
-     "iopub.status.busy": "2024-09-10T20:22:32.858278Z",
-     "iopub.status.idle": "2024-09-10T20:22:33.009452Z",
-     "shell.execute_reply": "2024-09-10T20:22:33.007022Z"
-    }
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "zsh:1: 0.2.8 not found\r\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Note: you may need to restart the kernel to use updated packages.\n"
-     ]
-    }
-   ],
+   "metadata": {},
+   "outputs": [],
    "source": [
     "%pip install -qU langchain>=0.2.8 langchain-openai langchain-anthropic langchain-google-vertexai"
    ]

docs/docs/integrations/vectorstores/chroma.ipynb

@@ -99,7 +99,7 @@
     "vector_store = Chroma(\n",
     "    collection_name=\"example_collection\",\n",
     "    embedding_function=embeddings,\n",
-    "    persist_directory=\"./chroma_langchain_db\",  # Where to save data locally, remove if not neccesary\n",
+    "    persist_directory=\"./chroma_langchain_db\",  # Where to save data locally, remove if not necessary\n",
     ")"
    ]
   },
@@ -179,7 +179,7 @@
     "from langchain_core.documents import Document\n",
     "\n",
     "document_1 = Document(\n",
-    "    page_content=\"I had chocalate chip pancakes and scrambled eggs for breakfast this morning.\",\n",
+    "    page_content=\"I had chocolate chip pancakes and scrambled eggs for breakfast this morning.\",\n",
     "    metadata={\"source\": \"tweet\"},\n",
     "    id=1,\n",
     ")\n",
@@ -273,7 +273,7 @@
    "outputs": [],
    "source": [
     "updated_document_1 = Document(\n",
-    "    page_content=\"I had chocalate chip pancakes and fried eggs for breakfast this morning.\",\n",
+    "    page_content=\"I had chocolate chip pancakes and fried eggs for breakfast this morning.\",\n",
     "    metadata={\"source\": \"tweet\"},\n",
     "    id=1,\n",
     ")\n",
@@ -287,7 +287,7 @@
     "vector_store.update_document(document_id=uuids[0], document=updated_document_1)\n",
     "# You can also update multiple documents at once\n",
     "vector_store.update_documents(\n",
-    "    ids=uuids[:2], documents=[updated_document_1, updated_document_1]\n",
+    "    ids=uuids[:2], documents=[updated_document_1, updated_document_2]\n",
     ")"
    ]
   },

docs/docs/versions/v0_3/index.mdx

@@ -1,6 +1,6 @@
 # LangChain v0.3
 
-*Last updated: 09.13.24*
+*Last updated: 09.16.24*
 
 ## What's changed
 
@@ -23,7 +23,7 @@ The following features have been added during the development of 0.2.x:
 
 ## How to update your code
 
-If you're using `langchain` / `langchain-community` / `langchain-core` 0.0 or 0.1, we recommend that you first [upgrade to 0.2](https://python.langchain.com/v0.2/docs/versions/v0_2/). The `langchain-cli` will help you to migrate many imports automatically.
+If you're using `langchain` / `langchain-community` / `langchain-core` 0.0 or 0.1, we recommend that you first [upgrade to 0.2](https://python.langchain.com/v0.2/docs/versions/v0_2/).
 
 If you're using `langgraph`, upgrade to `langgraph>=0.2.20,<0.3`. This will work with either 0.2 or 0.3 versions of all the base packages.
 
@@ -31,22 +31,27 @@ Here is a complete list of all packages that have been released and what we reco
 Any package that now requires `langchain-core` 0.3 had a minor version bump.
 Any package that is now compatible with both `langchain-core` 0.2 and 0.3 had a patch version bump.
 
+You can use the `langchain-cli` to update deprecated imports automatically.
+The CLI will handle updating deprecated imports that were introduced in LangChain 0.0.x and LangChain 0.1, as
+well as updating the `langchain_core.pydantic_v1` and `langchain.pydantic_v1` imports.
+
+
 ### Base packages
 
-| Package                                | Latest  | Recommended constraint     |
-| -------------------------------------- | ------- | -------------------------- |
-| langchain                              | 0.3.0   | >=0.3,<0.4                 |
-| langchain-community                    | 0.3.0   | >=0.3,<0.4                 |
-| langchain-text-splitters               | 0.3.0   | >=0.3,<0.4                 |
-| langchain-core                         | 0.3.0   | >=0.3,<0.4                 |
-| langchain-experimental                 | 0.3.0   | >=0.3,<0.4                 |
+| Package                  | Latest | Recommended constraint |
+|--------------------------|--------|------------------------|
+| langchain                | 0.3.0  | >=0.3,<0.4             |
+| langchain-community      | 0.3.0  | >=0.3,<0.4             |
+| langchain-text-splitters | 0.3.0  | >=0.3,<0.4             |
+| langchain-core           | 0.3.0  | >=0.3,<0.4             |
+| langchain-experimental   | 0.3.0  | >=0.3,<0.4             |
 
 ### Downstream packages
 
-| Package                                | Latest  | Recommended constraint     |
-| -------------------------------------- | ------- | -------------------------- |
-| langgraph                              | 0.2.20  | >=0.2.20,<0.3              |
-| langserve                              | 0.3.0   | >=0.3,<0.4                 |
+| Package   | Latest | Recommended constraint |
+|-----------|--------|------------------------|
+| langgraph | 0.2.20 | >=0.2.20,<0.3          |
+| langserve | 0.3.0  | >=0.3,<0.4             |
 
 ### Integration packages
 
@@ -59,7 +64,7 @@ Any package that is now compatible with both `langchain-core` 0.2 and 0.3 had a
 | langchain-azure-dynamic-sessions       | 0.2.0   | >=0.2,<0.3                 |
 | langchain-box                          | 0.2.0   | >=0.2,<0.3                 |
 | langchain-chroma                       | 0.1.4   | >=0.1.4,<0.2               |
-| langchain-cohere                       | 0.2.0   | >=0.2,<0.3                 |
+| langchain-cohere                       | 0.3.0   | >=0.3,<0.4                 |
 | langchain-elasticsearch                | 0.3.0   | >=0.3,<0.4                 |
 | langchain-exa                          | 0.2.0   | >=0.2,<0.3                 |
 | langchain-fireworks                    | 0.2.0   | >=0.2,<0.3                 |
@@ -68,6 +73,7 @@ Any package that is now compatible with both `langchain-core` 0.2 and 0.3 had a
 | langchain-google-genai                 | 2.0.0   | >=2,<3                     |
 | langchain-google-vertexai              | 2.0.0   | >=2,<3                     |
 | langchain-huggingface                  | 0.1.0   | >=0.1,<0.2                 |
+| langchain-ibm                          | 0.2.0   | >=0.2,<0.3                 |
 | langchain-milvus                       | 0.1.6   | >=0.1.6,<0.2               |
 | langchain-mistralai                    | 0.2.0   | >=0.2,<0.3                 |
 | langchain-mongodb                      | 0.2.0   | >=0.2,<0.3                 |
@@ -77,12 +83,14 @@ Any package that is now compatible with both `langchain-core` 0.2 and 0.3 had a
 | langchain-pinecone                     | 0.2.0   | >=0.2,<0.3                 |
 | langchain-postgres                     | 0.0.13  | >=0.0.13,<0.1              |
 | langchain-prompty                      | 0.1.0   | >=0.1,<0.2                 |
+| langchain-qdrant                       | 0.1.4   | >=0.1.4,<0.2               |
 | langchain-redis                        | 0.1.0   | >=0.1,<0.2                 |
-| langchain-qdrant                       | 0.2.0   | >=0.2,<0.3                 |
+| langchain-sema4                        | 0.2.0   | >=0.2,<0.3                 |
 | langchain-together                     | 0.2.0   | >=0.2,<0.3                 |
 | langchain-unstructured                 | 0.1.4   | >=0.1.4,<0.2               |
+| langchain-upstage                      | 0.3.0   | >=0.3,<0.4                 |
 | langchain-voyageai                     | 0.2.0   | >=0.2,<0.3                 |
-| langchain-weaviate                     | 0.1.0   | >=0.1,<0.2                 |
+| langchain-weaviate                     | 0.0.3   | >=0.0.3,<0.1               |
 
 Once you've updated to recent versions of the packages, you may need to address the following issues stemming from the internal switch from Pydantic v1 to Pydantic v2:
 
@@ -185,6 +193,8 @@ CustomTool(
 When sub-classing from LangChain models, users may need to add relevant imports
 to the file and rebuild the model.
 
+You can read more about `model_rebuild` [here](https://docs.pydantic.dev/latest/concepts/models/#rebuilding-model-schema).
+
 ```python
 from langchain_core.output_parsers import BaseOutputParser
 
@@ -205,3 +215,57 @@ class FooParser(BaseOutputParser):
 
 FooParser.model_rebuild()
 ```
+
+## Migrate using langchain-cli
+
+The `langchain-cli` can help update deprecated LangChain imports in your code automatically.
+
+Please note that the `langchain-cli` only handles deprecated LangChain imports and cannot
+help to upgrade your code from pydantic 1 to pydantic 2.
+
+For help with the Pydantic 1 to 2 migration itself please refer to the [Pydantic Migration Guidelines](https://docs.pydantic.dev/latest/migration/).
+
+As of 0.0.31, the `langchain-cli` relies on [gritql](https://about.grit.io/) for applying code mods.
+
+### Installation
+
+```bash
+pip install -U langchain-cli
+langchain-cli --version # <-- Make sure the version is at least 0.0.31
+```
+
+### Usage
+
+Given that the migration script is not perfect, you should make sure you have a backup of your code first (e.g., using version control like `git`).
+
+The `langchain-cli` will handle the `langchain_core.pydantic_v1` deprecation introduced in LangChain 0.3 as well
+as older deprecations (e.g.,`from langchain.chat_models import ChatOpenAI` which should be `from langchain_openai import ChatOpenAI`),
+
+You will need to run the migration script **twice** as it only applies one import replacement per run.
+
+For example, say that your code is still using the old import `from langchain.chat_models import ChatOpenAI`:
+
+After the first run, you’ll get: `from langchain_community.chat_models import ChatOpenAI`
+After the second run, you’ll get: `from langchain_openai import ChatOpenAI`
+
+```bash
+# Run a first time
+# Will replace from langchain.chat_models import ChatOpenAI
+langchain-cli migrate --help [path to code] # Help
+langchain-cli migrate [path to code] # Apply
+
+# Run a second time to apply more import replacements
+langchain-cli migrate --diff [path to code] # Preview
+langchain-cli migrate [path to code] # Apply
+```
+
+### Other options
+
+```bash
+# See help menu
+langchain-cli migrate --help
+# Preview Changes without applying
+langchain-cli migrate --diff [path to code]
+# Approve changes interactively
+langchain-cli migrate --interactive [path to code]
+```

docs/vercel.json

@@ -26,6 +26,18 @@
     }
   ],
   "redirects": [
+    {
+      "source": "/docs/modules/agents/tools/custom_tools(/?)",
+      "destination": "/docs/how_to/custom_tools/"
+    },
+    {
+      "source": "/docs/expression_language(/?)",
+      "destination": "/docs/concepts/#langchain-expression-language-lcel"
+    },
+    {
+      "source": "/docs/expression_language/interface(/?)",
+      "destination": "/docs/concepts/#runnable-interface"
+    },
     {
       "source": "/docs/versions/overview(/?)",
       "destination": "/docs/versions/v0_2/overview/"

libs/community/langchain_community/agents/openai_assistant/base.py

@@ -301,7 +301,7 @@ class OpenAIAssistantV2Runnable(OpenAIAssistantRunnable):
             inheritable_metadata=config.get("metadata"),
         )
         run_manager = callback_manager.on_chain_start(
-            dumpd(self), input, name=config.get("run_name")
+            dumpd(self), input, name=config.get("run_name") or self.get_name()
         )
 
         files = _convert_file_ids_into_attachments(kwargs.get("file_ids", []))
@@ -437,7 +437,7 @@ class OpenAIAssistantV2Runnable(OpenAIAssistantRunnable):
             inheritable_metadata=config.get("metadata"),
         )
         run_manager = callback_manager.on_chain_start(
-            dumpd(self), input, name=config.get("run_name")
+            dumpd(self), input, name=config.get("run_name") or self.get_name()
         )
 
         files = _convert_file_ids_into_attachments(kwargs.get("file_ids", []))

libs/community/langchain_community/document_loaders/mongodb.py

@@ -20,13 +20,37 @@ class MongodbLoader(BaseLoader):
         *,
         filter_criteria: Optional[Dict] = None,
         field_names: Optional[Sequence[str]] = None,
+        metadata_names: Optional[Sequence[str]] = None,
+        include_db_collection_in_metadata: bool = True,
     ) -> None:
+        """
+        Initializes the MongoDB loader with necessary database connection
+        details and configurations.
+
+        Args:
+            connection_string (str): MongoDB connection URI.
+            db_name (str):Name of the database to connect to.
+            collection_name (str): Name of the collection to fetch documents from.
+            filter_criteria (Optional[Dict]): MongoDB filter criteria for querying
+            documents.
+            field_names (Optional[Sequence[str]]): List of field names to retrieve
+            from documents.
+            metadata_names (Optional[Sequence[str]]): Additional metadata fields to
+            extract from documents.
+            include_db_collection_in_metadata (bool): Flag to include database and
+            collection names in metadata.
+
+        Raises:
+            ImportError: If the motor library is not installed.
+            ValueError: If any necessary argument is missing.
+        """
         try:
             from motor.motor_asyncio import AsyncIOMotorClient
         except ImportError as e:
             raise ImportError(
                 "Cannot import from motor, please install with `pip install motor`."
             ) from e
+
         if not connection_string:
             raise ValueError("connection_string must be provided.")
 
@@ -39,8 +63,10 @@ class MongodbLoader(BaseLoader):
         self.client = AsyncIOMotorClient(connection_string)
         self.db_name = db_name
         self.collection_name = collection_name
-        self.field_names = field_names
+        self.field_names = field_names or []
         self.filter_criteria = filter_criteria or {}
+        self.metadata_names = metadata_names or []
+        self.include_db_collection_in_metadata = include_db_collection_in_metadata
 
         self.db = self.client.get_database(db_name)
         self.collection = self.db.get_collection(collection_name)
@@ -60,36 +86,24 @@ class MongodbLoader(BaseLoader):
         return asyncio.run(self.aload())
 
     async def aload(self) -> List[Document]:
-        """Load data into Document objects."""
+        """Asynchronously loads data into Document objects."""
         result = []
         total_docs = await self.collection.count_documents(self.filter_criteria)
 
-        # Construct the projection dictionary if field_names are specified
-        projection = (
-            {field: 1 for field in self.field_names} if self.field_names else None
-        )
+        projection = self._construct_projection()
 
         async for doc in self.collection.find(self.filter_criteria, projection):
-            metadata = {
-                "database": self.db_name,
-                "collection": self.collection_name,
-            }
+            metadata = self._extract_fields(doc, self.metadata_names, default="")
+
+            # Optionally add database and collection names to metadata
+            if self.include_db_collection_in_metadata:
+                metadata.update(
+                    {"database": self.db_name, "collection": self.collection_name}
+                )
 
             # Extract text content from filtered fields or use the entire document
             if self.field_names is not None:
-                fields = {}
-                for name in self.field_names:
-                    # Split the field names to handle nested fields
-                    keys = name.split(".")
-                    value = doc
-                    for key in keys:
-                        if key in value:
-                            value = value[key]
-                        else:
-                            value = ""
-                            break
-                    fields[name] = value
-
+                fields = self._extract_fields(doc, self.field_names, default="")
                 texts = [str(value) for value in fields.values()]
                 text = " ".join(texts)
             else:
@@ -104,3 +118,29 @@ class MongodbLoader(BaseLoader):
             )
 
         return result
+
+    def _construct_projection(self) -> Optional[Dict]:
+        """Constructs the projection dictionary for MongoDB query based
+        on the specified field names and metadata names."""
+        field_names = list(self.field_names) or []
+        metadata_names = list(self.metadata_names) or []
+        all_fields = field_names + metadata_names
+        return {field: 1 for field in all_fields} if all_fields else None
+
+    def _extract_fields(
+        self,
+        document: Dict,
+        fields: Sequence[str],
+        default: str = "",
+    ) -> Dict:
+        """Extracts and returns values for specified fields from a document."""
+        extracted = {}
+        for field in fields or []:
+            value = document
+            for key in field.split("."):
+                value = value.get(key, default)
+                if value == default:
+                    break
+            new_field_name = field.replace(".", "_")
+            extracted[new_field_name] = value
+        return extracted

libs/community/tests/unit_tests/callbacks/test_callback_manager.py

@@ -121,4 +121,4 @@ def test_callback_manager_configure_context_vars(
                     assert cb.completion_tokens == 1
                     assert cb.total_cost > 0
             wait_for_all_tracers()
-            assert LangChainTracer._persist_run_single.call_count == 1  # type: ignore
+            assert LangChainTracer._persist_run_single.call_count == 4  # type: ignore

libs/community/tests/unit_tests/document_loaders/test_mongodb.py

@@ -12,6 +12,7 @@ def raw_docs() -> List[Dict]:
     return [
         {"_id": "1", "address": {"building": "1", "room": "1"}},
         {"_id": "2", "address": {"building": "2", "room": "2"}},
+        {"_id": "3", "address": {"building": "3", "room": "2"}},
     ]
 
 
@@ -19,18 +20,23 @@ def raw_docs() -> List[Dict]:
 def expected_documents() -> List[Document]:
     return [
         Document(
-            page_content="{'_id': '1', 'address': {'building': '1', 'room': '1'}}",
+            page_content="{'_id': '2', 'address': {'building': '2', 'room': '2'}}",
             metadata={"database": "sample_restaurants", "collection": "restaurants"},
         ),
         Document(
-            page_content="{'_id': '2', 'address': {'building': '2', 'room': '2'}}",
+            page_content="{'_id': '3', 'address': {'building': '3', 'room': '2'}}",
             metadata={"database": "sample_restaurants", "collection": "restaurants"},
         ),
     ]
 
 
 @pytest.mark.requires("motor")
-async def test_load_mocked(expected_documents: List[Document]) -> None:
+async def test_load_mocked_with_filters(expected_documents: List[Document]) -> None:
+    filter_criteria = {"address.room": {"$eq": "2"}}
+    field_names = ["address.building", "address.room"]
+    metadata_names = ["_id"]
+    include_db_collection_in_metadata = True
+
     mock_async_load = AsyncMock()
     mock_async_load.return_value = expected_documents
 
@@ -51,7 +57,13 @@ async def test_load_mocked(expected_documents: List[Document]) -> None:
         new=mock_async_load,
     ):
         loader = MongodbLoader(
-            "mongodb://localhost:27017", "test_db", "test_collection"
+            "mongodb://localhost:27017",
+            "test_db",
+            "test_collection",
+            filter_criteria=filter_criteria,
+            field_names=field_names,
+            metadata_names=metadata_names,
+            include_db_collection_in_metadata=include_db_collection_in_metadata,
         )
         loader.collection = mock_collection
         documents = await loader.aload()

libs/core/langchain_core/messages/modifier.py

@@ -1,10 +1,8 @@
 from typing import Any, List, Literal
 
-from langchain_core._api import beta
 from langchain_core.messages.base import BaseMessage
 
 
-@beta()
 class RemoveMessage(BaseMessage):
     """Message responsible for deleting other messages."""
 

libs/core/langchain_core/tracers/schemas.py

@@ -135,11 +135,13 @@ class Run(BaseRunV2):
     @root_validator(pre=True)
     def assign_name(cls, values: dict) -> dict:
         """Assign name to the run."""
-        if values.get("name") is None:
+        if values.get("name") is None and values["serialized"] is not None:
             if "name" in values["serialized"]:
                 values["name"] = values["serialized"]["name"]
             elif "id" in values["serialized"]:
                 values["name"] = values["serialized"]["id"][-1]
+        if values.get("name") is None:
+            values["name"] = "Unnamed"
         if values.get("events") is None:
             values["events"] = []
         return values

libs/core/pyproject.toml

@@ -1,10 +1,10 @@
 [build-system]
-requires = ["poetry-core>=1.0.0"]
+requires = [ "poetry-core>=1.0.0",]
 build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-core"
-version = "0.3.0"
+version = "0.3.1"
 description = "Building applications with LLMs through composability"
 authors = []
 license = "MIT"
@@ -12,17 +12,10 @@ readme = "README.md"
 repository = "https://github.com/langchain-ai/langchain"
 
 [tool.mypy]
-exclude = [
-    "notebooks",
-    "examples",
-    "example_data",
-    "langchain_core/pydantic",
-    "tests/unit_tests/utils/test_function_calling.py",
-]
-"disallow_untyped_defs" = "True"
-
+exclude = [ "notebooks", "examples", "example_data", "langchain_core/pydantic", "tests/unit_tests/utils/test_function_calling.py",]
+disallow_untyped_defs = "True"
 [[tool.mypy.overrides]]
-module = ["numpy", "pytest"]
+module = [ "numpy", "pytest",]
 ignore_missing_imports = true
 
 [tool.poetry.urls]
@@ -37,32 +30,28 @@ jsonpatch = "^1.33"
 PyYAML = ">=5.3"
 packaging = ">=23.2,<25"
 typing-extensions = ">=4.7"
-pydantic = [
-    { version = "^2.5.2", python = "<3.12.4" },
-    { version = "^2.7.4", python = ">=3.12.4" },
-]
+[[tool.poetry.dependencies.pydantic]]
+version = "^2.5.2"
+python = "<3.12.4"
 
+[[tool.poetry.dependencies.pydantic]]
+version = "^2.7.4"
+python = ">=3.12.4"
 
 [tool.poetry.extras]
 
 [tool.ruff.lint]
-select = ["B", "E", "F", "I", "T201", "UP"]
-ignore = ["UP006", "UP007"]
+select = [ "B", "E", "F", "I", "T201", "UP",]
+ignore = [ "UP006", "UP007",]
 
 [tool.coverage.run]
-omit = ["tests/*"]
+omit = [ "tests/*",]
 
 [tool.pytest.ini_options]
 addopts = "--snapshot-warn-unused --strict-markers --strict-config --durations=5"
-markers = [
-    "requires: mark tests as requiring a specific library",
-    "asyncio: mark tests as requiring asyncio",
-    "compile: mark placeholder test used to compile integration tests without running them",
-]
+markers = [ "requires: mark tests as requiring a specific library", "asyncio: mark tests as requiring asyncio", "compile: mark placeholder test used to compile integration tests without running them",]
 asyncio_mode = "auto"
-filterwarnings = [
-    "ignore::langchain_core._api.beta_decorator.LangChainBetaWarning",
-]
+filterwarnings = [ "ignore::langchain_core._api.beta_decorator.LangChainBetaWarning",]
 
 [tool.poetry.group.lint]
 optional = true
@@ -80,9 +69,9 @@ optional = true
 optional = true
 
 [tool.ruff.lint.per-file-ignores]
-"tests/unit_tests/prompts/test_chat.py" = ["E501"]
-"tests/unit_tests/runnables/test_runnable.py" = ["E501"]
-"tests/unit_tests/runnables/test_graph.py" = ["E501"]
+"tests/unit_tests/prompts/test_chat.py" = [ "E501",]
+"tests/unit_tests/runnables/test_runnable.py" = [ "E501",]
+"tests/unit_tests/runnables/test_graph.py" = [ "E501",]
 
 [tool.poetry.group.lint.dependencies]
 ruff = "^0.5"

libs/experimental/langchain_experimental/graph_transformers/llm.py

@@ -749,12 +749,20 @@ class LLMGraphTransformer:
             if isinstance(parsed_json, dict):
                 parsed_json = [parsed_json]
             for rel in parsed_json:
+                # Check if mandatory properties are there
+                if (
+                    not rel.get("head")
+                    or not rel.get("tail")
+                    or not rel.get("relation")
+                ):
+                    continue
                 # Nodes need to be deduplicated using a set
-                nodes_set.add((rel["head"], rel["head_type"]))
-                nodes_set.add((rel["tail"], rel["tail_type"]))
+                # Use default Node label for nodes if missing
+                nodes_set.add((rel["head"], rel.get("head_type", "Node")))
+                nodes_set.add((rel["tail"], rel.get("tail_type", "Node")))
 
-                source_node = Node(id=rel["head"], type=rel["head_type"])
-                target_node = Node(id=rel["tail"], type=rel["tail_type"])
+                source_node = Node(id=rel["head"], type=rel.get("head_type", "Node"))
+                target_node = Node(id=rel["tail"], type=rel.get("tail_type", "Node"))
                 relationships.append(
                     Relationship(
                         source=source_node, target=target_node, type=rel["relation"]

libs/langchain/langchain/agents/openai_assistant/base.py

@@ -310,7 +310,7 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
             inheritable_metadata=config.get("metadata"),
         )
         run_manager = callback_manager.on_chain_start(
-            dumpd(self), input, name=config.get("run_name")
+            dumpd(self), input, name=config.get("run_name") or self.get_name()
         )
         try:
             # Being run within AgentExecutor and there are tool outputs to submit.
@@ -429,7 +429,7 @@ class OpenAIAssistantRunnable(RunnableSerializable[Dict, OutputType]):
             inheritable_metadata=config.get("metadata"),
         )
         run_manager = callback_manager.on_chain_start(
-            dumpd(self), input, name=config.get("run_name")
+            dumpd(self), input, name=config.get("run_name") or self.get_name()
         )
         try:
             # Being run within AgentExecutor and there are tool outputs to submit.

libs/langchain/langchain/chains/llm.py

@@ -242,6 +242,7 @@ class LLMChain(Chain):
         run_manager = callback_manager.on_chain_start(
             None,
             {"input_list": input_list},
+            name=self.get_name(),
         )
         try:
             response = self.generate(input_list, run_manager=run_manager)
@@ -262,6 +263,7 @@ class LLMChain(Chain):
         run_manager = await callback_manager.on_chain_start(
             None,
             {"input_list": input_list},
+            name=self.get_name(),
         )
         try:
             response = await self.agenerate(input_list, run_manager=run_manager)

libs/langchain/langchain/chat_models/base.py

@@ -98,48 +98,42 @@ def init_chat_model(
 
     Must have the integration package corresponding to the model provider installed.
 
-    .. versionadded:: 0.2.7
-
-    .. versionchanged:: 0.2.8
-
-        Support for ``configurable_fields`` and ``config_prefix`` added.
-
-    .. versionchanged:: 0.2.12
-
-        Support for Ollama via langchain-ollama package added. Previously
-        langchain-community version of Ollama (now deprecated) was installed by default.
-
     Args:
         model: The name of the model, e.g. "gpt-4o", "claude-3-opus-20240229".
         model_provider: The model provider. Supported model_provider values and the
             corresponding integration package:
-                - openai (langchain-openai)
-                - anthropic (langchain-anthropic)
-                - azure_openai (langchain-openai)
-                - google_vertexai (langchain-google-vertexai)
-                - google_genai (langchain-google-genai)
-                - bedrock (langchain-aws)
-                - cohere (langchain-cohere)
-                - fireworks (langchain-fireworks)
-                - together (langchain-together)
-                - mistralai (langchain-mistralai)
-                - huggingface (langchain-huggingface)
-                - groq (langchain-groq)
-                - ollama (langchain-ollama)  [support added in langchain==0.2.12]
+
+            - openai (langchain-openai)
+            - anthropic (langchain-anthropic)
+            - azure_openai (langchain-openai)
+            - google_vertexai (langchain-google-vertexai)
+            - google_genai (langchain-google-genai)
+            - bedrock (langchain-aws)
+            - bedrock_converse (langchain-aws)
+            - cohere (langchain-cohere)
+            - fireworks (langchain-fireworks)
+            - together (langchain-together)
+            - mistralai (langchain-mistralai)
+            - huggingface (langchain-huggingface)
+            - groq (langchain-groq)
+            - ollama (langchain-ollama)  [support added in langchain==0.2.12]
 
             Will attempt to infer model_provider from model if not specified. The
             following providers will be inferred based on these model prefixes:
-                - gpt-3... or gpt-4... -> openai
-                - claude... -> anthropic
-                - amazon.... -> bedrock
-                - gemini... -> google_vertexai
-                - command... -> cohere
-                - accounts/fireworks... -> fireworks
+
+            - gpt-3..., gpt-4..., or o1... -> openai
+            - claude... -> anthropic
+            - amazon.... -> bedrock
+            - gemini... -> google_vertexai
+            - command... -> cohere
+            - accounts/fireworks... -> fireworks
+            - mistral... -> mistralai
         configurable_fields: Which model parameters are
             configurable:
-                - None: No configurable fields.
-                - "any": All fields are configurable. *See Security Note below.*
-                - Union[List[str], Tuple[str, ...]]: Specified fields are configurable.
+
+            - None: No configurable fields.
+            - "any": All fields are configurable. *See Security Note below.*
+            - Union[List[str], Tuple[str, ...]]: Specified fields are configurable.
 
             Fields are assumed to have config_prefix stripped if there is a
             config_prefix. If model is specified, then defaults to None. If model is
@@ -168,7 +162,9 @@ def init_chat_model(
         ValueError: If model_provider cannot be inferred or isn't supported.
         ImportError: If the model provider integration package is not installed.
 
-    Initialize non-configurable models:
+    .. dropdown:: Init non-configurable model
+        :open:
+
         .. code-block:: python
 
             # pip install langchain langchain-openai langchain-anthropic langchain-google-vertexai
@@ -183,7 +179,8 @@ def init_chat_model(
             gemini_15.invoke("what's your name")
 
 
-    Create a partially configurable model with no default model:
+    .. dropdown:: Partially configurable model with no default
+
         .. code-block:: python
 
             # pip install langchain langchain-openai langchain-anthropic
@@ -204,7 +201,8 @@ def init_chat_model(
             )
             # claude-3.5 sonnet response
 
-    Create a fully configurable model with a default model and a config prefix:
+    .. dropdown:: Fully configurable model with a default
+
         .. code-block:: python
 
             # pip install langchain langchain-openai langchain-anthropic
@@ -233,7 +231,8 @@ def init_chat_model(
             )
             # Claude-3.5 sonnet response with temperature 0.6
 
-    Bind tools to a configurable model:
+    .. dropdown:: Bind tools to a configurable model
+
         You can call any ChatModel declarative methods on a configurable model in the
         same way that you would with a normal model.
 
@@ -270,6 +269,23 @@ def init_chat_model(
                 config={"configurable": {"model": "claude-3-5-sonnet-20240620"}}
             )
             # Claude-3.5 sonnet response with tools
+
+    .. versionadded:: 0.2.7
+
+    .. versionchanged:: 0.2.8
+
+        Support for ``configurable_fields`` and ``config_prefix`` added.
+
+    .. versionchanged:: 0.2.12
+
+        Support for ChatOllama via langchain-ollama package added
+        (langchain_ollama.ChatOllama). Previously,
+        the now-deprecated langchain-community version of Ollama was imported
+        (langchain_community.chat_models.ChatOllama).
+
+        Support for langchain_aws.ChatBedrockConverse added
+        (model_provider="bedrock_converse").
+
     """  # noqa: E501
     if not model and not configurable_fields:
         configurable_fields = ("model", "model_provider")
@@ -415,7 +431,7 @@ _SUPPORTED_PROVIDERS = {
 
 
 def _attempt_infer_model_provider(model_name: str) -> Optional[str]:
-    if model_name.startswith("gpt-3") or model_name.startswith("gpt-4"):
+    if any(model_name.startswith(pre) for pre in ("gpt-3", "gpt-4", "o1")):
         return "openai"
     elif model_name.startswith("claude"):
         return "anthropic"
@@ -427,6 +443,8 @@ def _attempt_infer_model_provider(model_name: str) -> Optional[str]:
         return "google_vertexai"
     elif model_name.startswith("amazon."):
         return "bedrock"
+    elif model_name.startswith("mistral"):
+        return "mistralai"
     else:
         return None
 

libs/partners/box/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -441,7 +441,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev1"
+version = "0.3.0"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -450,9 +450,12 @@ develop = true
 
 [package.dependencies]
 jsonpatch = "^1.33"
-langsmith = "^0.1.75"
+langsmith = "^0.1.117"
 packaging = ">=23.2,<25"
-pydantic = "^2.7.4"
+pydantic = [
+    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+]
 PyYAML = ">=5.3"
 tenacity = "^8.1.0,!=8.4.0"
 typing-extensions = ">=4.7"
@@ -463,13 +466,13 @@ url = "../../core"
 
 [[package]]
 name = "langsmith"
-version = "0.1.115"
+version = "0.1.121"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.115-py3-none-any.whl", hash = "sha256:04e35cfd4c2d4ff1ea10bb577ff43957b05ebb3d9eb4e06e200701f4a2b4ac9f"},
-    {file = "langsmith-0.1.115.tar.gz", hash = "sha256:3b775377d858d32354f3ee0dd1ed637068cfe9a1f13e7b3bfa82db1615cdffc9"},
+    {file = "langsmith-0.1.121-py3-none-any.whl", hash = "sha256:fdb1ac8a671d3904201bfeea197d87bded46a10d08f1034af464211872e29893"},
+    {file = "langsmith-0.1.121.tar.gz", hash = "sha256:e9381b82a5bd484af9a51c3e96faea572746b8d617b070c1cda40cbbe48e33df"},
 ]
 
 [package.dependencies]
@@ -644,120 +647,120 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "2.9.0"
+version = "2.9.1"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic-2.9.0-py3-none-any.whl", hash = "sha256:f66a7073abd93214a20c5f7b32d56843137a7a2e70d02111f3be287035c45370"},
-    {file = "pydantic-2.9.0.tar.gz", hash = "sha256:c7a8a9fdf7d100afa49647eae340e2d23efa382466a8d177efcd1381e9be5598"},
+    {file = "pydantic-2.9.1-py3-none-any.whl", hash = "sha256:7aff4db5fdf3cf573d4b3c30926a510a10e19a0774d38fc4967f78beb6deb612"},
+    {file = "pydantic-2.9.1.tar.gz", hash = "sha256:1363c7d975c7036df0db2b4a61f2e062fbc0aa5ab5f2772e0ffc7191a4f4bce2"},
 ]
 
 [package.dependencies]
-annotated-types = ">=0.4.0"
-pydantic-core = "2.23.2"
+annotated-types = ">=0.6.0"
+pydantic-core = "2.23.3"
 typing-extensions = {version = ">=4.6.1", markers = "python_version < \"3.13\""}
-tzdata = {version = "*", markers = "python_version >= \"3.9\""}
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata"]
 
 [[package]]
 name = "pydantic-core"
-version = "2.23.2"
+version = "2.23.3"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic_core-2.23.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:7d0324a35ab436c9d768753cbc3c47a865a2cbc0757066cb864747baa61f6ece"},
-    {file = "pydantic_core-2.23.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:276ae78153a94b664e700ac362587c73b84399bd1145e135287513442e7dfbc7"},
-    {file = "pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:964c7aa318da542cdcc60d4a648377ffe1a2ef0eb1e996026c7f74507b720a78"},
-    {file = "pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:1cf842265a3a820ebc6388b963ead065f5ce8f2068ac4e1c713ef77a67b71f7c"},
-    {file = "pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ae90b9e50fe1bd115b24785e962b51130340408156d34d67b5f8f3fa6540938e"},
-    {file = "pydantic_core-2.23.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ae65fdfb8a841556b52935dfd4c3f79132dc5253b12c0061b96415208f4d622"},
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+    {file = "pydantic_core-2.23.3.tar.gz", hash = "sha256:3cb0f65d8b4121c1b015c60104a685feb929a29d7cf204387c7f2688c7974690"},
 ]
 
 [package.dependencies]
@@ -1050,17 +1053,6 @@ files = [
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
-[[package]]
-name = "tzdata"
-version = "2024.1"
-description = "Provider of IANA time zone data"
-optional = false
-python-versions = ">=2"
-files = [
-    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
-    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
-]
-
 [[package]]
 name = "urllib3"
 version = "2.2.2"
@@ -1081,4 +1073,4 @@ zstd = ["zstandard (>=0.18.0)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9.0,<3.13"
-content-hash = "1f32eed9a4e19e0d1da66632d03c8026397929eab9c5c99c107d83fb120a6c05"
+content-hash = "231de5b826920531d20b71d35b92e2f79d3fb69db37848b8bdf3e9bb99a2ab03"

libs/partners/box/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-box"
-version = "0.1.0"
+version = "0.2.0"
 description = "An integration package connecting Box and LangChain"
 authors = []
 readme = "README.md"
@@ -13,8 +13,9 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = ">=3.9.0,<3.13"
-langchain-core = "^0.3.0.dev"
+langchain-core = "^0.3"
 box-sdk-gen = { extras = ["jwt"], version = "^1.1.0" }
+pydantic = "^2"
 
 [tool.poetry.group.test]
 optional = true

libs/partners/milvus/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -515,7 +515,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev4"
+version = "0.3.0"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -524,9 +524,12 @@ develop = true
 
 [package.dependencies]
 jsonpatch = "^1.33"
-langsmith = "^0.1.112"
+langsmith = "^0.1.117"
 packaging = ">=23.2,<25"
-pydantic = "^2.7.4"
+pydantic = [
+    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+]
 PyYAML = ">=5.3"
 tenacity = "^8.1.0,!=8.4.0"
 typing-extensions = ">=4.7"
@@ -2250,4 +2253,4 @@ watchmedo = ["PyYAML (>=3.10)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "729248929e543a50f84ba78d565a3eee720318dc83fecba012f2b336d4af86e9"
+content-hash = "0cfacd60fff25de0b07733f2f3fb7676e4937ba6fb78c03411a30a2462ece628"

libs/partners/milvus/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-milvus"
-version = "0.1.5"
+version = "0.1.6"
 description = "An integration package connecting Milvus and LangChain"
 authors = []
 readme = "README.md"
@@ -26,8 +26,9 @@ ignore_missing_imports = "True"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-langchain-core = "^0.3.0.dev"
+langchain-core = "^0.3"
 pymilvus = "^2.4.3"
+
 [[tool.poetry.dependencies.scipy]]
 version = "^1.7"
 python = "<3.12"

libs/partners/qdrant/poetry.lock

@@ -11,6 +11,9 @@ files = [
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 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
+
 [[package]]
 name = "anyio"
 version = "4.4.0"
@@ -620,7 +623,27 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev5"
+version = "0.2.40"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = "<4.0,>=3.8.1"
+files = [
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+    {file = "langchain_core-0.2.40.tar.gz", hash = "sha256:c838ea0c0b73475a8e58ced3e306b6d926ef063721abd164f237c8664916f502"},
+]
+
+[package.dependencies]
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+langsmith = ">=0.1.112,<0.2.0"
+packaging = ">=23.2,<25"
+pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
+PyYAML = ">=5.3"
+tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+typing-extensions = ">=4.7"
+
+[[package]]
+name = "langchain-core"
+version = "0.3.0"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -631,7 +654,10 @@ develop = true
 jsonpatch = "^1.33"
 langsmith = "^0.1.117"
 packaging = ">=23.2,<25"
-pydantic = "^2.7.4"
+pydantic = [
+    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+]
 PyYAML = ">=5.3"
 tenacity = "^8.1.0,!=8.4.0"
 typing-extensions = ">=4.7"
@@ -845,6 +871,43 @@ files = [
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 ]
 
+[[package]]
+name = "numpy"
+version = "1.24.4"
+description = "Fundamental package for array computing in Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
 [[package]]
 name = "numpy"
 version = "1.26.4"
@@ -1996,41 +2059,46 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "watchdog"
-version = "5.0.2"
+version = "4.0.2"
 description = "Filesystem events monitoring"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.8"
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+    {file = "watchdog-4.0.2-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:32be97f3b75693a93c683787a87a0dc8db98bb84701539954eef991fb35f5fbc"},
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+    {file = "watchdog-4.0.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c0b14488bd336c5b1845cee83d3e631a1f8b4e9c5091ec539406e4a324f882d8"},
+    {file = "watchdog-4.0.2-py3-none-win32.whl", hash = "sha256:0d8a7e523ef03757a5aa29f591437d64d0d894635f8a50f370fe37f913ce4e19"},
+    {file = "watchdog-4.0.2-py3-none-win_amd64.whl", hash = "sha256:c344453ef3bf875a535b0488e3ad28e341adbd5a9ffb0f7d62cefacc8824ef2b"},
+    {file = "watchdog-4.0.2-py3-none-win_ia64.whl", hash = "sha256:baececaa8edff42cd16558a639a9b0ddf425f93d892e8392a56bf904f5eff22c"},
+    {file = "watchdog-4.0.2.tar.gz", hash = "sha256:b4dfbb6c49221be4535623ea4474a4d6ee0a9cef4a80b20c28db4d858b64e270"},
 ]
 
 [package.extras]
@@ -2055,5 +2123,5 @@ fastembed = ["fastembed"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.9,<4.0"
-content-hash = "97912fb88d52004e107efe17259b1e31e03bf5134d5b28694cfe6b65b8402c1a"
+python-versions = ">=3.8.1,<4"
+content-hash = "e6e76142c4669b46c06e2a65813fbff4e6e0844953ec091eebcc8cc468943ad6"

libs/partners/qdrant/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-qdrant"
-version = "0.2.0.dev1"
+version = "0.1.4"
 description = "An integration package connecting Qdrant and LangChain"
 authors = []
 readme = "README.md"
@@ -22,10 +22,17 @@ disallow_untyped_defs = true
 "Release Notes" = "https://github.com/langchain-ai/langchain/releases?q=tag%3A%22langchain-qdrant%3D%3D0%22&expanded=true"
 
 [tool.poetry.dependencies]
-python = ">=3.9,<4.0"
-langchain-core = { version = "^0.3.0.dev5", allow-prereleases = true }
+python = ">=3.8.1,<4"
 qdrant-client = "^1.10.1"
 fastembed = { version = "^0.3.3", python = ">=3.9,<3.13", optional = true }
+pydantic = "^2.7.4"
+[[tool.poetry.dependencies.langchain-core]]
+version = ">=0.1.52,<0.4"
+python = ">=3.9"
+
+[[tool.poetry.dependencies.langchain-core]]
+version = ">=0.1.52,<0.3"
+python = "<3.9"
 
 [tool.poetry.extras]
 fastembed = ["fastembed"]
@@ -65,6 +72,25 @@ syrupy = "^4.0.2"
 pytest-watcher = "^0.3.4"
 pytest-asyncio = "^0.21.1"
 requests = "^2.31.0"
+[[tool.poetry.group.test.dependencies.langchain-core]]
+path = "../../core"
+develop = true
+python = ">=3.9"
+
+[[tool.poetry.group.test.dependencies.langchain-core]]
+version = ">=0.1.40,<0.3"
+python = "<3.9"
+
+
+[tool.poetry.group.dev.dependencies]
+[[tool.poetry.group.dev.dependencies.langchain-core]]
+path = "../../core"
+develop = true
+python = ">=3.9"
+
+[[tool.poetry.group.dev.dependencies.langchain-core]]
+version = ">=0.1.52,<0.3"
+python = "<3.9"
 
 [tool.poetry.group.codespell.dependencies]
 codespell = "^2.2.0"
@@ -77,15 +103,11 @@ ruff = "^0.5"
 [tool.poetry.group.typing.dependencies]
 mypy = "^1.10"
 simsimd = "^5.0.0"
-
-[tool.poetry.group.test.dependencies.langchain-core]
+[[tool.poetry.group.typing.dependencies.langchain-core]]
 path = "../../core"
 develop = true
+python = ">=3.9"
 
-[tool.poetry.group.dev.dependencies.langchain-core]
-path = "../../core"
-develop = true
-
-[tool.poetry.group.typing.dependencies.langchain-core]
-path = "../../core"
-develop = true
+[[tool.poetry.group.typing.dependencies.langchain-core]]
+version = ">=0.1.52,<0.3"
+python = "<3.9"

libs/partners/unstructured/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -219,6 +219,37 @@ files = [
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+    {file = "cffi-1.17.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cdf5ce3acdfd1661132f2a9c19cac174758dc2352bfe37d98aa7512c6b7178b3"},
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+    {file = "cffi-1.17.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c03e868a0b3bc35839ba98e74211ed2b05d2119be4e8a0f224fba9384f1fe02e"},
+    {file = "cffi-1.17.1-cp39-cp39-win32.whl", hash = "sha256:e31ae45bc2e29f6b2abd0de1cc3b9d5205aa847cafaecb8af1476a609a2f6eb7"},
+    {file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"},
+    {file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"},
 ]
 
 [package.dependencies]
@@ -1330,7 +1361,7 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.3.0.dev4"
+version = "0.3.0"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.9,<4.0"
@@ -1341,7 +1372,10 @@ develop = true
 jsonpatch = "^1.33"
 langsmith = "^0.1.117"
 packaging = ">=23.2,<25"
-pydantic = "^2.7.4"
+pydantic = [
+    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
+]
 PyYAML = ">=5.3"
 tenacity = "^8.1.0,!=8.4.0"
 typing-extensions = ">=4.7"
@@ -2189,10 +2223,10 @@ files = [
 numpy = [
     {version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
     {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 
 [[package]]
@@ -2338,8 +2372,8 @@ files = [
 [package.dependencies]
 numpy = [
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
     {version = ">=1.23.2", markers = "python_version == \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -4178,11 +4212,6 @@ files = [
     {file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"},
     {file = "triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9"},
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-    {file = "triton-3.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39b052da883351fdf6be3d93cedae6db3b8e3988d3b09ed221bccecfa9612230"},
-    {file = "triton-3.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd34f19a8582af96e6291d4afce25dac08cb2a5d218c599163761e8e0827208e"},
-    {file = "triton-3.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0d5e10de8c011adeb7c878c6ce0dd6073b14367749e34467f1cff2bde1b78253"},
-    {file = "triton-3.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8903767951bf86ec960b4fe4e21bc970055afc65e9d57e916d79ae3c93665e3"},
-    {file = "triton-3.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41004fb1ae9a53fcb3e970745feb87f0e3c94c6ce1ba86e95fa3b8537894bef7"},
 ]
 
 [package.dependencies]
@@ -4570,4 +4599,4 @@ local = ["unstructured"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "718b27f8d6ed513284f436b03c830e3554248577346538beb9d2272bd9b05dc0"
+content-hash = "d96509ff31d482c1144571e83f0e7cbb384581d90e4e39ee992021c080d8f8ec"

libs/partners/unstructured/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-unstructured"
-version = "0.1.3"
+version = "0.1.4"
 description = "An integration package connecting Unstructured and LangChain"
 authors = []
 readme = "README.md"
@@ -13,7 +13,7 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-langchain-core = "^0.3.0.dev"
+langchain-core = "^0.3"
 unstructured-client = { version = "^0.25.0" }
 unstructured = { version = "^0.15.7", optional = true, python = "<3.13", extras = [
   "all-docs",

pyproject.toml

@@ -9,14 +9,13 @@ repository = "https://www.github.com/langchain-ai/langchain"
 
 
 [tool.poetry.dependencies]
-python = ">=3.8.1,<4.0"
+python = ">=3.9,<4.0"
 
 [tool.poetry.group.docs.dependencies]
-autodoc_pydantic = "^1"
-sphinx = "^7"
-myst-parser = "^3"
-sphinx-autobuild = "^2021"
-pydata-sphinx-theme = "^0.14"
+autodoc_pydantic = "^2"
+sphinx = ">=7"
+sphinx-autobuild = ">=2024"
+pydata-sphinx-theme = ">=0.15"
 toml = "^0.10.2"
 
 [tool.poetry.group.lint.dependencies]