Bump lockfile (#4346)

The configuration expects the key "fields", not "text_fields": I had
failed to update across all implementations in the original PR

Thank you to Vincent Min for the fix!
---------

Co-authored-by: Vincent Min <93780551+VMinB12@users.noreply.github.com>

docs/_scripts/prepare_notebooks_for_ci.py

@@ -20,7 +20,6 @@ BLOCKLIST_COMMANDS = (
 
 NOTEBOOKS_NO_CASSETTES = (
     "docs/how-tos/visualization.ipynb",
-    "docs/how-tos/many-tools.ipynb"
 )
 
 NOTEBOOKS_NO_EXECUTION = [
@@ -49,7 +48,10 @@ NOTEBOOKS_NO_EXECUTION = [
     "docs/how-tos/map-reduce.ipynb",  # flakiness from structured output, only when running with VCR
     "docs/tutorials/tot/tot.ipynb",
     "docs/how-tos/visualization.ipynb",
-    "docs/tutorials/llm-compiler/LLMCompiler.ipynb"
+    "docs/how-tos/streaming-specific-nodes.ipynb",
+    "docs/tutorials/llm-compiler/LLMCompiler.ipynb",
+    "docs/tutorials/customer-support/customer-support.ipynb",  # relies on openai embeddings, doesn't play well w/ VCR
+    "docs/how-tos/many-tools.ipynb",  # relies on openai embeddings, doesn't play well w/ VCR
 ]
 
 
@@ -86,6 +88,12 @@ def has_blocklisted_command(code: str, metadata: dict) -> bool:
             return True
     return False
 
+def add_mermaid_retries(code: str) -> str:
+    return code.replace(
+        "draw_mermaid_png()",
+        "draw_mermaid_png(max_retries=10, retry_delay=2.0)"
+    )
+
 
 def add_vcr_to_notebook(
     notebook: nbformat.NotebookNode, cassette_prefix: str
@@ -180,6 +188,15 @@ def add_vcr_to_notebook(
     return notebook
 
 
+def add_mermaid_retries_to_notebook(notebook: nbformat.NotebookNode) -> nbformat.NotebookNode:
+    for cell in notebook.cells:
+        if cell.cell_type != "code":
+            continue
+
+        cell.source = add_mermaid_retries(cell.source)
+    return notebook
+
+
 def process_notebooks(should_comment_install_cells: bool) -> None:
     for directory in NOTEBOOK_DIRS:
         for root, _, files in os.walk(directory):
@@ -201,6 +218,8 @@ def process_notebooks(should_comment_install_cells: bool) -> None:
                             notebook, cassette_prefix=cassette_prefix
                         )
 
+                    notebook = add_mermaid_retries_to_notebook(notebook)
+
                     if notebook_path in NOTEBOOKS_NO_EXECUTION:
                         # Add a cell at the beginning to indicate that this notebook should not be executed
                         warning_cell = nbformat.v4.new_markdown_cell(

docs/docs/tutorials/sql-agent.ipynb

@@ -741,13 +741,7 @@
     "from IPython.display import Image, display\n",
     "from langchain_core.runnables.graph import MermaidDrawMethod\n",
     "\n",
-    "display(\n",
-    "    Image(\n",
-    "        app.get_graph().draw_mermaid_png(\n",
-    "            draw_method=MermaidDrawMethod.API,\n",
-    "        )\n",
-    "    )\n",
-    ")"
+    "display(Image(app.get_graph().draw_mermaid_png()))"
    ]
   },
   {

docs/poetry.lock

@@ -3387,14 +3387,14 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<10"
 
 [[package]]
 name = "langchain-core"
-version = "0.3.52"
+version = "0.3.54"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.9"
 groups = ["docs", "test"]
 files = [
-    {file = "langchain_core-0.3.52-py3-none-any.whl", hash = "sha256:cd137109c1e3d04f5a582c2cae9539b2cd5e4b795f486b58969dbc3d0387fe7c"},
-    {file = "langchain_core-0.3.52.tar.gz", hash = "sha256:f1981ec9efa4fceb11ff5ca57f5f9c8e22859cea3a94f8a044e6de8815afbd57"},
+    {file = "langchain_core-0.3.54-py3-none-any.whl", hash = "sha256:cd42155d9089e2fd4695ee02a4b2bc6daf55b9d4e1a37639647cf2455ed4fa04"},
+    {file = "langchain_core-0.3.54.tar.gz", hash = "sha256:55ce38939038e19b1271f36f512335462d7f64057b531598b3651d2b403e1b42"},
 ]
 
 [package.dependencies]
@@ -3530,7 +3530,7 @@ langchain-core = ">=0.3.45,<1.0.0"
 
 [[package]]
 name = "langgraph"
-version = "0.3.30"
+version = "0.3.31"
 description = "Building stateful, multi-actor applications with LLMs"
 optional = false
 python-versions = ">=3.9.0,<4.0"
@@ -3541,7 +3541,7 @@ develop = true
 [package.dependencies]
 langchain-core = ">=0.1,<0.4"
 langgraph-checkpoint = "^2.0.10"
-langgraph-prebuilt = ">=0.1.1,<0.2"
+langgraph-prebuilt = ">=0.1.8,<0.2"
 langgraph-sdk = "^0.1.42"
 xxhash = "^3.5.0"
 
@@ -5987,7 +5987,6 @@ optional = false
 python-versions = ">=3.8"
 groups = ["test"]
 files = [
-    {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
     {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
 ]
 
@@ -5999,7 +5998,6 @@ optional = false
 python-versions = ">=3.8"
 groups = ["test"]
 files = [
-    {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"},
     {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"},
 ]
 
@@ -8902,4 +8900,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "45bbc644a3b878063f5cbb75eed56540423315784f8dd42cfd3937c910dfc9c5"
+content-hash = "36d7e4c4eba50d5e4dfb2e99964d7b51fe17d36238a912765cca8fc360216079"

docs/pyproject.toml

@@ -43,6 +43,7 @@ langchain-cohere = "^0.4.2"
 
 [tool.poetry.group.test.dependencies]
 langchain = "^0.3.8"
+langchain-core = "^0.3.54"
 langchain-openai = "^0.3.7"
 langchain-anthropic = "^0.3.8"
 langchain-nomic = "^0.1.3"

libs/checkpoint-postgres/langgraph/store/postgres/base.py

@@ -1320,7 +1320,7 @@ def _ensure_index_config(
     index_config = index_config.copy()
     tokenized: list[tuple[str, Union[Literal["$"], list[str]]]] = []
     tot = 0
-    text_fields = index_config.get("text_fields") or ["$"]
+    text_fields = index_config.get("fields") or ["$"]
     if isinstance(text_fields, str):
         text_fields = [text_fields]
     if not isinstance(text_fields, list):

libs/checkpoint-postgres/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.20"
+version = "2.0.21"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 license = "MIT"

libs/checkpoint-postgres/tests/test_async_store.py

@@ -377,7 +377,7 @@ async def _create_vector_store(
             "vector_type": vector_type,
         },
         "distance_type": distance_type,
-        "text_fields": text_fields,
+        "fields": text_fields,
     }
 
     async with await AsyncConnection.connect(

libs/checkpoint-postgres/tests/test_store.py

@@ -401,7 +401,7 @@ def _create_vector_store(
             "vector_type": vector_type,
         },
         "distance_type": distance_type,
-        "text_fields": text_fields,
+        "fields": text_fields,
     }
 
     with Connection.connect(admin_conn_string, autocommit=True) as conn:

libs/sdk-js/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@langchain/langgraph-sdk",
-  "version": "0.0.67",
+  "version": "0.0.68",
   "description": "Client library for interacting with the LangGraph API",
   "type": "module",
   "packageManager": "yarn@1.22.19",

libs/sdk-js/src/react-ui/client.tsx

@@ -175,7 +175,11 @@ export function LoadExternalComponent({
   }, [uiClient, uiNamespace, message.name, shadowRootId, hasClientComponent]);
 
   if (hasClientComponent) {
-    return React.createElement(clientComponent, message.props);
+    return (
+      <UseStreamContext.Provider value={{ stream, meta }}>
+        {React.createElement(clientComponent, message.props)}
+      </UseStreamContext.Provider>
+    );
   }
 
   return (