WEBDIENSTE/langgraph
1
0
Fork 0
mirror of https://github.com/langchain-ai/langgraph.git synced 2026-08-24 16:42:24 +02:00
Code Issues Packages Projects Releases Wiki Activity

docs: fix formatting (#3901)

Browse Source
This commit is contained in:
Vadym Barda
2025-03-18 13:00:36 -04:00
committed by GitHub
parent 82905297fd
commit e7fbdeeb13
1 changed files with 13 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/docs/how-tos/state-model.ipynb
+13 -4
View File
@@ -353,22 +353,26 @@
"from langgraph.graph import StateGraph, START, END\n",
"from pydantic import BaseModel\n",
"\n",
"\n",
"class NestedModel(BaseModel):\n",
" value: str\n",
"\n",
"\n",
"class ComplexState(BaseModel):\n",
" text: str\n",
" count: int\n",
" nested: NestedModel\n",
"\n",
"\n",
"def process_node(state: ComplexState):\n",
" # Node receives a validated Pydantic object\n",
" print(f\"Input state type: {type(state)}\")\n",
" print(f\"Nested type: {type(state.nested)}\")\n",
" \n",
"\n",
" # Return a dictionary update\n",
" return {\"text\": state.text + \" processed\", \"count\": state.count + 1}\n",
"\n",
"\n",
"# Build the graph\n",
"builder = StateGraph(ComplexState)\n",
"builder.add_node(\"process\", process_node)\n",
@@ -410,17 +414,20 @@
"from langgraph.graph import StateGraph, START, END\n",
"from pydantic import BaseModel\n",
"\n",
"\n",
"class CoercionExample(BaseModel):\n",
" # Pydantic will coerce string numbers to integers\n",
" number: int\n",
" # Pydantic will parse string booleans to bool\n",
" flag: bool\n",
"\n",
"\n",
"def inspect_node(state: CoercionExample):\n",
" print(f\"number: {state.number} (type: {type(state.number)})\")\n",
" print(f\"flag: {state.flag} (type: {type(state.flag)})\")\n",
" return {}\n",
"\n",
"\n",
"builder = StateGraph(CoercionExample)\n",
"builder.add_node(\"inspect\", inspect_node)\n",
"builder.add_edge(START, \"inspect\")\n",
@@ -459,13 +466,16 @@
"from langchain_core.messages import HumanMessage, AIMessage, BaseMessage\n",
"from typing import List\n",
"\n",
"\n",
"class ChatState(BaseModel):\n",
" messages: List[BaseMessage] \n",
" messages: List[BaseMessage]\n",
" context: str\n",
"\n",
"\n",
"def add_message(state: ChatState):\n",
" return {\"messages\": state.messages + [AIMessage(content=\"Hello there!\")]}\n",
"\n",
"\n",
"builder = StateGraph(ChatState)\n",
"builder.add_node(\"add_message\", add_message)\n",
"builder.add_edge(START, \"add_message\")\n",
@@ -474,8 +484,7 @@
"\n",
"# Create input with a message\n",
"initial_state = ChatState(\n",
" messages=[HumanMessage(content=\"Hi\")],\n",
" context=\"Customer support chat\"\n",
" messages=[HumanMessage(content=\"Hi\")], context=\"Customer support chat\"\n",
")\n",
"\n",
"result = graph.invoke(initial_state)\n",