mirror of
https://github.com/langchain-ai/langgraph.git
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@@ -198,7 +198,7 @@ async def add_owner(
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You can register handlers for specific resources and actions by chaining the resource and action names together with the [`@auth.on`](../cloud/reference/sdk/python_sdk_ref.md#langgraph_sdk.auth.Auth.on) decorator.
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When a request is made, the most specific handler that matches that resource and action is called. Below is an example of how to register handlers for specific resources and actions. For the following setup:
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1. Authenticated users are able to create threads, read thread, create runs on threads
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1. Authenticated users are able to create threads, read threads, and create runs on threads
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2. Only users with the "assistants:create" permission are allowed to create new assistants
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3. All other endpoints (e.g., e.g., delete assistant, crons, store) are disabled for all users.
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@@ -22,7 +22,7 @@ Welcome to the LangGraph reference docs! These pages detail the core interfaces
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## LangGraph
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The core APIs for the LangGraph opens source library.
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The core APIs for the LangGraph open source library.
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- [Graphs](graphs.md): Main graph abstraction and usage.
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- [Functional API](func.md): Functional programming interface for graphs.
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@@ -1758,7 +1758,7 @@
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"id": "4eb67198-c84f-458b-8baf-783d7246dddc",
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"metadata": {},
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"source": [
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"Let's let the agent try again. Call `stream` with `None` to just use the inputs loaded from the memory. We will skip our human review for the next few attempats\n",
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"Let's let the agent try again. Call `stream` with `None` to just use the inputs loaded from the memory. We will skip our human review for the next few attempts\n",
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"to see if it can correct itself."
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]
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},
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