Merge branch 'snova-jorgep/bind_tools_sambanova_chat_models' into sno…

…va-jorgep/bind_tools_sambastudio_chat_models

.github/scripts/get_min_versions.py

@@ -23,6 +23,7 @@
     "langchain-community",
     "langchain",
     "langchain-text-splitters",
+    "numpy",
     "SQLAlchemy",
 ]
 

.github/scripts/prep_api_docs_build.py

@@ -11,7 +11,9 @@
 def load_packages_yaml() -> Dict[str, Any]:
     """Load and parse the packages.yml file."""
     with open("langchain/libs/packages.yml", "r") as f:
-        return yaml.safe_load(f)
+        all_packages = yaml.safe_load(f)
+
+    return {k: v for k, v in all_packages.items() if k["repo"]}
 
 
 def get_target_dir(package_name: str) -> Path:
@@ -23,24 +25,19 @@ def get_target_dir(package_name: str) -> Path:
     return base_path / "partners" / package_name_short
 
 
-def clean_target_directories(packages: Dict[str, Any]) -> None:
+def clean_target_directories(packages: list) -> None:
     """Remove old directories that will be replaced."""
-    for package in packages["packages"]:
-        if package["repo"] != "langchain-ai/langchain":
-            target_dir = get_target_dir(package["name"])
-            if target_dir.exists():
-                print(f"Removing {target_dir}")
-                shutil.rmtree(target_dir)
+    for package in packages:
+
+        target_dir = get_target_dir(package["name"])
+        if target_dir.exists():
+            print(f"Removing {target_dir}")
+            shutil.rmtree(target_dir)
 
 
-def move_libraries(packages: Dict[str, Any]) -> None:
+def move_libraries(packages: list) -> None:
     """Move libraries from their source locations to the target directories."""
-    for package in packages["packages"]:
-        # Skip if it's the main langchain repo or disabled
-        if package["repo"] == "langchain-ai/langchain" or package.get(
-            "disabled", False
-        ):
-            continue
+    for package in packages:
 
         repo_name = package["repo"].split("/")[1]
         source_path = package["path"]
@@ -68,7 +65,14 @@ def main():
     """Main function to orchestrate the library sync process."""
     try:
         # Load packages configuration
-        packages = load_packages_yaml()
+        package_yaml = load_packages_yaml()
+        packages = [
+            p
+            for p in package_yaml["packages"]
+            if not p.get("disabled", False)
+            and p["repo"].startswith("langchain-ai/")
+            and p["repo"] != "langchain-ai/langchain"
+        ]
 
         # Clean target directories
         clean_target_directories(packages)

.github/workflows/api_doc_build.yml

@@ -37,9 +37,9 @@ jobs:
           # Get unique repositories
           REPOS=$(echo "$REPOS_UNSORTED" | sort -u)
           
-          # Checkout each unique repository
+          # Checkout each unique repository that is in langchain-ai org
           for repo in $REPOS; do
-            if [ "$repo" != "langchain-ai/langchain" ]; then
+            if [[ "$repo" != "langchain-ai/langchain" && "$repo" == langchain-ai/* ]]; then
               REPO_NAME=$(echo $repo | cut -d'/' -f2)
               echo "Checking out $repo to $REPO_NAME"
               git clone --depth 1 https://github.com/$repo.git $REPO_NAME

README.md

@@ -129,7 +129,7 @@ Please see [here](https://python.langchain.com) for full documentation, which in
 
 - [🦜🛠️ LangSmith](https://docs.smith.langchain.com/): Trace and evaluate your language model applications and intelligent agents to help you move from prototype to production.
 - [🦜🕸️ LangGraph](https://langchain-ai.github.io/langgraph/): Create stateful, multi-actor applications with LLMs. Integrates smoothly with LangChain, but can be used without it.
-- [🦜🏓 LangServe](https://python.langchain.com/docs/langserve): Deploy LangChain runnables and chains as REST APIs.
+- [🦜🕸️ LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform): Deploy LLM applications built with LangGraph into production.
 
 ## 💁 Contributing
 

docs/Makefile

@@ -38,7 +38,7 @@ install-py-deps:
 
 generate-files:
 	mkdir -p $(INTERMEDIATE_DIR)
-	cp -r $(SOURCE_DIR)/* $(INTERMEDIATE_DIR)
+	cp -rp $(SOURCE_DIR)/* $(INTERMEDIATE_DIR)
 
 	$(PYTHON) scripts/tool_feat_table.py $(INTERMEDIATE_DIR)
 

docs/cassettes/llm_chain_1b2481f0.msgpack.zlib

@@ -1 +1 @@
-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

docs/cassettes/llm_chain_3e45595a.msgpack.zlib

@@ -1 +1 @@
-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

docs/docs/concepts/async.mdx

@@ -46,7 +46,7 @@ Most popular LangChain integrations implement asynchronous support of their APIs
 When an asynchronous implementation is not available, LangChain tries to provide a default implementation, even if it incurs
 a **slight** overhead.
 
-By default, LangChain will delegate the execution of a unimplemented asynchronous methods to the synchronous counterparts. LangChain almost always assumes that the synchronous method should be treated as a blocking operation and should be run in a separate thread.
+By default, LangChain will delegate the execution of unimplemented asynchronous methods to the synchronous counterparts. LangChain almost always assumes that the synchronous method should be treated as a blocking operation and should be run in a separate thread.
 This is done using [asyncio.loop.run_in_executor](https://docs.python.org/3/library/asyncio-eventloop.html#asyncio.loop.run_in_executor) functionality provided by the `asyncio` library. LangChain uses the default executor provided by the `asyncio` library, which lazily initializes a thread pool executor with a default number of threads that is reused in the given event loop. While this strategy incurs a slight overhead due to context switching between threads, it guarantees that every asynchronous method has a default implementation that works out of the box.
 
 ## Performance

docs/docs/concepts/index.mdx

@@ -22,6 +22,7 @@ The conceptual guide does not cover step-by-step instructions or specific implem
 - **[Memory](https://langchain-ai.github.io/langgraph/concepts/memory/)**: Information about a conversation that is persisted so that it can be used in future conversations.
 - **[Multimodality](/docs/concepts/multimodality)**: The ability to work with data that comes in different forms, such as text, audio, images, and video.
 - **[Runnable interface](/docs/concepts/runnables)**: The base abstraction that many LangChain components and the LangChain Expression Language are built on.
+- **[Streaming](/docs/concepts/streaming)**: LangChain streaming APIs for surfacing results as they are generated.
 - **[LangChain Expression Language (LCEL)](/docs/concepts/lcel)**: A syntax for orchestrating LangChain components. Most useful for simpler applications.
 - **[Document loaders](/docs/concepts/document_loaders)**: Load a source as a list of documents.
 - **[Retrieval](/docs/concepts/retrieval)**: Information retrieval systems can retrieve structured or unstructured data from a datasource in response to a query.
@@ -68,6 +69,7 @@ The conceptual guide does not cover step-by-step instructions or specific implem
 - **[langchain](/docs/concepts/architecture#langchain)**: A package for higher level components (e.g., some pre-built chains).
 - **[langgraph](/docs/concepts/architecture#langgraph)**: Powerful orchestration layer for LangChain. Use to build complex pipelines and workflows.
 - **[langserve](/docs/concepts/architecture#langserve)**: Use to deploy LangChain Runnables as REST endpoints. Uses FastAPI. Works primarily for LangChain Runnables, does not currently integrate with LangGraph.
+- **[LLMs (legacy)](/docs/concepts/text_llms)**: Older language models that take a string as input and return a string as output.
 - **[Managing chat history](/docs/concepts/chat_history#managing-chat-history)**: Techniques to maintain and manage the chat history.
 - **[OpenAI format](/docs/concepts/messages#openai-format)**: OpenAI's message format for chat models.
 - **[Propagation of RunnableConfig](/docs/concepts/runnables/#propagation-of-runnableconfig)**: Propagating configuration through Runnables. Read if working with python 3.9, 3.10 and async.