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https://github.com/langchain-ai/langgraph.git
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Deprecate Chat agent executor & Function Calling Executor in Docs (#392)
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@@ -2,3 +2,33 @@
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::: langgraph.checkpoint
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handler: python
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### BaseCheckpointSaver
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::: langgraph.checkpoint.base.BaseCheckpointSaver
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handler: python
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## Implementations
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LangGraph also natively provides the following checkpoint implementations.
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### AsyncSqliteSaver
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::: langgraph.checkpoint.aiosqlite.AsyncSqliteSaver
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handler: python
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### SqliteSaver
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::: langgraph.checkpoint.sqlite.SqliteSaver
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handler: python
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members:
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- put
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- list
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- get_tuple
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### MemorySaver
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::: langgraph.checkpoint.memory.MemorySaver
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handler: python
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@@ -1,5 +1,7 @@
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# Graph Definitions
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Graphs are the core abstraction of LangGraph. Each [StateGraph](#langgraph.graph.StateGraph) implementation is used to create graph workflows. Once compiled, you can run the [CompiledGraph](#compiledgraph) to run the application.
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::: langgraph.graph
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handler: python
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@@ -7,9 +9,6 @@
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::: langgraph.graph.graph.CompiledGraph
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handler: python
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members:
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- get_graph
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- invoke
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## MessageGraph
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@@ -19,4 +18,4 @@
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## add_messages
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::: ::: langgraph.graph.message.add_messages
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::: langgraph.graph.message.add_messages
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@@ -37,16 +37,7 @@ from langgraph.prebuilt import ToolInvocation
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from langgraph.prebuilt.chat_agent_executor import create_tool_calling_executor
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```
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::: langgraph.prebuilt.chat_agent_executor
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## `create_agent_executor`
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```python
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from langgraph.prebuilt import create_agent_executor
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```
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::: langgraph.prebuilt.create_agent_executor
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::: langgraph.prebuilt.chat_agent_executor.create_tool_calling_executor
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## `tools_condition`
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