Merge branch 'master' into docs-integrations-google-update

.github/workflows/api_doc_build.yml

@@ -73,6 +73,10 @@ jobs:
         with:
           repository: langchain-ai/langchain-unstructured
           path: langchain-unstructured
+      - uses: actions/checkout@v4
+        with:
+          repository: langchain-ai/langchain-databricks
+          path: langchain-databricks
 
 
       - name: Set Git config
@@ -97,7 +101,8 @@ jobs:
             langchain/libs/standard-tests \
             langchain/libs/experimental \
             langchain/libs/partners/milvus \
-            langchain/libs/partners/unstructured
+            langchain/libs/partners/unstructured \
+            langchain/libs/databricks
           mv langchain-google/libs/genai langchain/libs/partners/google-genai
           mv langchain-google/libs/vertexai langchain/libs/partners/google-vertexai
           mv langchain-google/libs/community langchain/libs/partners/google-community
@@ -113,6 +118,7 @@ jobs:
           mv langchain-experimental/libs/experimental langchain/libs/experimental
           mv langchain-milvus/libs/milvus langchain/libs/partners/milvus
           mv langchain-unstructured/libs/unstructured langchain/libs/partners/unstructured
+          mv langchain-databricks/libs/databricks langchain/libs/partners/databricks
 
       - name: Rm old html
         run:

docs/docs/concepts.mdx

@@ -713,7 +713,7 @@ Callback handlers can either be `sync` or `async`:
 * Sync callback handlers implement the [BaseCallbackHandler](https://python.langchain.com/api_reference/core/callbacks/langchain_core.callbacks.base.BaseCallbackHandler.html) interface.
 * Async callback handlers implement the [AsyncCallbackHandler](https://python.langchain.com/api_reference/core/callbacks/langchain_core.callbacks.base.AsyncCallbackHandler.html) interface.
 
-During run-time LangChain configures an appropriate callback manager (e.g., [CallbackManager](https://python.langchain.com/api_reference/core/callbacks/langchain_core.callbacks.manager.CallbackManager.html) or [AsyncCallbackManager](https://python.langchain.com/api_reference/core/callbacks/langchain_core.callbacks.manager.AsyncCallbackManager.html) which will be responsible for calling the appropriate method on each "registered" callback handler when the event is triggered.
+During run-time LangChain configures an appropriate callback manager (e.g., [CallbackManager](https://python.langchain.com/api_reference/core/callbacks/langchain_core.callbacks.manager.CallbackManager.html) or [AsyncCallbackManager](https://python.langchain.com/api_reference/core/callbacks/langchain_core.callbacks.manager.AsyncCallbackManager.html)) which will be responsible for calling the appropriate method on each "registered" callback handler when the event is triggered.
 
 #### Passing callbacks
 

docs/docs/how_to/custom_tools.ipynb

@@ -22,7 +22,7 @@
     "2. LangChain [Runnables](/docs/concepts#runnable-interface);\n",
     "3. By sub-classing from [BaseTool](https://python.langchain.com/api_reference/core/tools/langchain_core.tools.BaseTool.html) -- This is the most flexible method, it provides the largest degree of control, at the expense of more effort and code.\n",
     "\n",
-    "Creating tools from functions may be sufficient for most use cases, and can be done via a simple [@tool decorator](https://python.langchain.com/api_reference/core/tools/langchain_core.tools.tool.html#langchain_core.tools.tool). If more configuration is needed-- e.g., specification of both sync and async implementations-- one can also use the [StructuredTool.from_function](https://python.langchain.com/api_reference/core/tools/langchain_core.tools.StructuredTool.html#langchain_core.tools.StructuredTool.from_function) class method.\n",
+    "Creating tools from functions may be sufficient for most use cases, and can be done via a simple [@tool decorator](https://python.langchain.com/api_reference/core/tools/langchain_core.tools.tool.html#langchain_core.tools.tool). If more configuration is needed-- e.g., specification of both sync and async implementations-- one can also use the [StructuredTool.from_function](https://python.langchain.com/api_reference/core/tools/langchain_core.tools.structured.StructuredTool.html#langchain_core.tools.structured.StructuredTool.from_function) class method.\n",
     "\n",
     "In this guide we provide an overview of these methods.\n",
     "\n",