mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-07 10:17:50 +02:00
@@ -20,7 +20,7 @@ my-app/
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|-- openai_agent.py # code for your graph
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```
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where the graph is defined in `openai_agent.py`.
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where the graph is defined in `openai_agent.py`.
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### No rebuild
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@@ -28,11 +28,11 @@ In the standard LangGraph API configuration, the server uses the compiled graph
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```python
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from langchain_openai import ChatOpenAI
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from langgraph.graph import END, START, StateGraph, MessagesState
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from langgraph.graph import END, START, MessageGraph
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model = ChatOpenAI(temperature=0)
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graph_workflow = StateGraph(MessagesState)
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graph_workflow = MessageGraph()
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graph_workflow.add_node("agent", model)
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graph_workflow.add_edge("agent", END)
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@@ -61,7 +61,7 @@ To make your graph rebuild on each new run with custom configuration, you need t
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from typing import Annotated
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from typing_extensions import TypedDict
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from langchain_openai import ChatOpenAI
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from langgraph.graph import END, START
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from langgraph.graph import END, START, MessageGraph
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from langgraph.graph.state import StateGraph
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from langgraph.graph.message import add_messages
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from langgraph.prebuilt import ToolNode
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@@ -144,4 +144,4 @@ Finally, you need to specify the path to your graph-making function (`make_graph
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}
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```
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See more info on LangGraph API configuration file [here](../reference/cli.md#configuration-file)
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See more info on LangGraph API configuration file [here](../reference/cli.md#configuration-file)
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@@ -89,7 +89,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 2,
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"id": "baf669a0-04ee-492d-80d8-8fcb658ed128",
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"metadata": {},
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"outputs": [],
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@@ -313,8 +313,8 @@
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"\n",
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" builder.add_edge(\"finalizer\", END)\n",
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"\n",
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" # These functions let the step be used in a\n",
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" # StateGraph with 'messages' as the key.\n",
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" # These functions let the step be used in a MessageGraph\n",
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" # or a StateGraph with 'messages' as the key.\n",
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" def encode(x: Union[Sequence[AnyMessage], PromptValue]) -> dict:\n",
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" \"\"\"Ensure the input is the correct format.\"\"\"\n",
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" if isinstance(x, PromptValue):\n",
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