docs[patch]: Correct API ref urls (#351)

langchain-ai · Aug 23, 2024 · b2b3584 · b2b3584
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diff --git a/README.md b/README.md
@@ -243,7 +243,7 @@ Is there anything else you'd like to know about the weather in New York or any o
 - [Tutorials](https://langchain-ai.github.io/langgraphjs/tutorials/): Learn to build with LangGraph through guided examples.
 - [How-to Guides](https://langchain-ai.github.io/langgraphjs/how-tos/): Accomplish specific things within LangGraph, from streaming, to adding memory & persistence, to common design patterns (branching, subgraphs, etc.). These are the place to go if you want to copy and run a specific code snippet.
 - [Conceptual Guides](https://langchain-ai.github.io/langgraphjs/concepts/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more.
-- [API Reference](https://langchain-ai.github.io/langgraphjs/reference/graphs/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more.
+- [API Reference](https://langchain-ai.github.io/langgraphjs/reference/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more.
 
 ## Running Example Jupyter Notebooks
 

diff --git a/examples/how-tos/branching.ipynb b/examples/how-tos/branching.ipynb
@@ -7,7 +7,7 @@
     "# How to create branches for parallel node execution\n",
     "\n",
     "LangGraph natively supports fan-out and fan-in using either regular edges or\n",
-    "[conditionalEdges](https://langchain-ai.github.io/langgraphjs/reference/classes/index.StateGraph.html#addConditionalEdges).\n",
+    "[conditionalEdges](https://langchain-ai.github.io/langgraphjs/reference/classes/langgraph.StateGraph.html#addConditionalEdges).\n",
     "\n",
     "This lets you run nodes in parallel to speed up your total graph execution.\n",
     "\n",

diff --git a/examples/how-tos/dynamically-returning-directly.ipynb b/examples/how-tos/dynamically-returning-directly.ipynb
@@ -185,7 +185,7 @@
     "## Define the agent state\n",
     "\n",
     "The main type of graph in `langgraph` is the\n",
-    "[StateGraph](https://langchain-ai.github.io/langgraphjs/reference/classes/index.StateGraph.html).\n",
+    "[StateGraph](https://langchain-ai.github.io/langgraphjs/reference/classes/langgraph.StateGraph.html).\n",
     "\n",
     "This graph is parameterized by a state object that it passes around to each\n",
     "node. Each node then returns operations to update that state. These operations\n",

diff --git a/examples/how-tos/human-in-the-loop.ipynb b/examples/how-tos/human-in-the-loop.ipynb
@@ -138,7 +138,7 @@
    "metadata": {},
    "source": [
     "We can now wrap these tools in a simple\n",
-    "[ToolNode](https://langchain-ai.github.io/langgraphjs/reference/classes/prebuilt.ToolNode.html).\n",
+    "[ToolNode](https://langchain-ai.github.io/langgraphjs/reference/classes/langgraph_prebuilt.ToolNode.html).\n",
     "\n",
     "This is a simple class that takes in a list of messages containing an\n",
     "[AIMessage with tool_calls](https://v02.api.js.langchain.com/classes/langchain_core_messages.AIMessage.html),\n",