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Update persistence.md

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Nuno Campos
2024-12-03 16:26:36 -05:00
parent 23d5162945
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docs/docs/concepts/persistence.md
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@@ -259,7 +259,7 @@ memories[-1].dict()
'updated_at': '2024-10-02T17:22:31.590605+00:00'}
```
Each memory type is a Python class ([`Item`](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/?h=item#langgraph_sdk.schema.Item)) with certain attributes. We can access it as a dictionary by converting via `.dict` as above.
Each memory type is a Python class ([`Item`](https://langchain-ai.github.io/langgraph/reference/store/#langgraph.store.base.Item)) with certain attributes. We can access it as a dictionary by converting via `.dict` as above.
The attributes it has are:
- `value`: The value (itself a dictionary) of this memory
@@ -405,4 +405,4 @@ Lastly, checkpointing also provides fault-tolerance and error recovery: if one o
#### Pending writes
Additionally, when a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.
Additionally, when a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.