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@@ -22,10 +22,10 @@ These how-to guides show how to achieve that controllability.
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### Persistence
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[LangGraph Persistence](../concepts/persistence.md) makes it easy to persist state across graph runs (thread-level persistence) and across threads (cross-thread persistence). These how-to guides show how to add persistence to your graph.
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[LangGraph Persistence](../concepts/persistence.md) makes it easy to persist state across graph runs (per-thread persistence) and across threads (cross-thread persistence). These how-to guides show how to add persistence to your graph.
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- [How to add thread-level persistence to your graph](persistence.ipynb)
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- [How to add thread-level persistence to subgraphs](subgraph-persistence.ipynb)
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- [How to add thread-level persistence to a subgraph](subgraph-persistence.ipynb)
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- [How to add cross-thread persistence to your graph](cross-thread-persistence.ipynb)
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- [How to use Postgres checkpointer for persistence](persistence_postgres.ipynb)
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- [How to use MongoDB checkpointer for persistence](persistence_mongodb.ipynb)
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@@ -83,7 +83,10 @@ Other methods:
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### Tool calling
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[Tool calling](https://python.langchain.com/docs/concepts/tool_calling/) is a type of chat model API that accepts tool schemas, along with messages, as input and returns invocations of those tools as part of the output message.
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[Tool calling](https://python.langchain.com/docs/concepts/tool_calling/) is a type of
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[chat model](https://python.langchain.com/docs/concepts/chat_models/) API that accepts
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tool schemas, along with messages, as input and returns invocations of those tools as
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part of the output message.
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These how-to guides show common patterns for tool calling with LangGraph:
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@@ -98,7 +101,7 @@ These how-to guides show common patterns for tool calling with LangGraph:
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[Subgraphs](../concepts/low_level.md#subgraphs) allow you to reuse an existing graph from another graph. These how-to guides show how to use subgraphs:
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- [How to add and use subgraphs](subgraph.ipynb)
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- [How to use subgraphs](subgraph.ipynb)
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- [How to view and update state in subgraphs](subgraphs-manage-state.ipynb)
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- [How to transform inputs and outputs of a subgraph](subgraph-transform-state.ipynb)
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@@ -114,7 +117,7 @@ See the [multi-agent tutorials](../tutorials/index.md#multi-agent-systems) for i
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### State Management
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- [How to use Pydantic model as state](state-model.ipynb)
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- [How to use Pydantic model as graph state](state-model.ipynb)
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- [How to define input/output schema for your graph](input_output_schema.ipynb)
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- [How to pass private state between nodes inside the graph](pass_private_state.ipynb)
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@@ -137,13 +140,17 @@ One of the big benefits of LangGraph is that you can easily create your own agen
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These guides show how to use the prebuilt ReAct agent:
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- [How to create a ReAct agent](create-react-agent.ipynb)
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- [How to add memory to a ReAct agent](create-react-agent-memory.ipynb)
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- [How to use the pre-built ReAct agent](create-react-agent.ipynb)
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- [How to add thread-level memory to a ReAct Agent](create-react-agent-memory.ipynb)
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- [How to add a custom system prompt to a ReAct agent](create-react-agent-system-prompt.ipynb)
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- [How to add human-in-the-loop processes to a ReAct agent](create-react-agent-hitl.ipynb)
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- [How to create prebuilt ReAct agent from scratch](react-agent-from-scratch.ipynb)
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- [How to add semantic search for long-term memory to a ReAct agent](memory/semantic-search.ipynb#using-in-create-react-agent)
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Interested in further customizing the ReAct agent? This guide provides an
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overview of its underlying implementation to help you customize for your own needs:
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- [How to create prebuilt ReAct agent from scratch](react-agent-from-scratch.ipynb)
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## LangGraph Platform
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This section includes how-to guides for LangGraph Platform.
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@@ -187,11 +194,17 @@ LangGraph applications can be deployed using LangGraph Cloud, which provides a r
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[Assistants](../concepts/assistants.md) is a configured instance of a template.
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See [SDK Reference](../cloud/reference/sdk/python_sdk_ref/#langgraph_sdk.client.AssistantsClient)
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for supported endpoints and other details.
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- [How to configure agents](../cloud/how-tos/configuration_cloud.md)
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- [How to version assistants](../cloud/how-tos/assistant_versioning.md)
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### Threads
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See [SDK Reference](../cloud/reference/sdk/python_sdk_ref/#langgraph_sdk.client.ThreadsClient)
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for supported endpoints and other details.
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- [How to copy threads](../cloud/how-tos/copy_threads.md)
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- [How to check status of your threads](../cloud/how-tos/check_thread_status.md)
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Chester Curme