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https://github.com/langchain-ai/langgraph.git
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William FHandGitHub
a734f5e6ce
Main jtbd here:
a) clarify who/how a graph is being accessed and make the factory aware
of the `context` where relevant (and make it obvious when it is
available)
b) make it more clear when you can bypass / defer resources with
expensive lifespans (like MCp connections)
c) make auth access more type-safe.
Gives us room to add other information, like:
- langsmith distributed tracing information
---- old
Can start doing things like this:
```
def my_graph(runtime: ServerRuntime):
if runtime.ensure_user().permissions not in ("foo"):
raise ValueError("bar")
```
etc.
Points of expected confusion:
- You won't have a stream_writer in this context.
- This won't be an accessible object within the graph, only the graph
factory.
For maintainers, related draft PR int he server
https://github.com/langchain-ai/langgraph/pull/6774
9 lines
317 B
Python
9 lines
317 B
Python
from langgraph_sdk.auth import Auth
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from langgraph_sdk.client import get_client, get_sync_client
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from langgraph_sdk.encryption import Encryption
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from langgraph_sdk.encryption.types import EncryptionContext
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__version__ = "0.3.5"
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__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
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