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fix: use absolute links for sdk reference (#4669)

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lc-arjun
2025-05-12 19:44:36 -07:00
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parent bed5f80e2c 70a10b0b57
commit b6f3e25ef7
2 changed files with 8 additions and 8 deletions
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docs/docs/cloud/how-tos/configuration_cloud.md
+3 -3
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@@ -50,7 +50,7 @@ For more information on configurations, [see here](../../concepts/low_level.md#c
### LangGraph SDK
To create an assistant, use the [LangGraph SDK](../../concepts/sdk.md) `create` method. See the [Python](../reference/sdk/python_sdk_ref.md#langgraph_sdk.client.AssistantsClient.create) and [JS](../reference/sdk/js_ts_sdk_ref.md#create) SDK reference docs for more information.
To create an assistant, use the [LangGraph SDK](../../concepts/sdk.md) `create` method. See the [Python](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/#langgraph_sdk.client.AssistantsClient.create) and [JS](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/js_ts_sdk_ref/#create) SDK reference docs for more information.
This example uses the same configuration schema as above, and creates an assistant with `model_name` set to `openai`.
@@ -228,10 +228,10 @@ Inside your deployment, select the "Assistants" tab. For the assistant you would
### LangGraph SDK
To edit the assistant, use the `update` method. This will create a new version of the assistant with the provided edits. See the [Python](../reference/sdk/python_sdk_ref.md#langgraph_sdk.client.AssistantsClient.update) and [JS](../reference/sdk/js_ts_sdk_ref.md#update) SDK reference docs for more information.
To edit the assistant, use the `update` method. This will create a new version of the assistant with the provided edits. See the [Python](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/#langgraph_sdk.client.AssistantsClient.update) and [JS](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/js_ts_sdk_ref/#update) SDK reference docs for more information.
!!! note "Note"
You must pass in the ENTIRE config (and metadata if you are using it). The update endpoint creates new versions completely from scratch and does not rely on previously versions.
You must pass in the ENTIRE config (and metadata if you are using it). The update endpoint creates new versions completely from scratch and does not rely on previously versions.
For example, to update your assistant's system prompt:
=== "Python"
docs/docs/cloud/how-tos/use_threads.md
+5 -5
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@@ -12,7 +12,7 @@ To run your graph and the state persisted, you must first create a thread.
### Empty thread
To create a new thread, use the [LangGraph SDK](../../concepts/sdk.md) `create` method. See the [Python](../reference/sdk/python_sdk_ref.md#langgraph_sdk.client.ThreadsClient.create) and [JS](../reference/sdk/js_ts_sdk_ref.md#create_3) SDK reference docs for more information.
To create a new thread, use the [LangGraph SDK](../../concepts/sdk.md) `create` method. See the [Python](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/#langgraph_sdk.client.ThreadsClient.create) and [JS](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/js_ts_sdk_ref/#create_3) SDK reference docs for more information.
=== "Python"
@@ -58,7 +58,7 @@ Output:
### Copy thread
Alternatively, if you already have a thread in your application whose state you wish to copy, you can use the `copy` method. This will create an independent thread whose history is identical to the original thread at the time of the operation. See the [Python](../reference/sdk/python_sdk_ref.md#langgraph_sdk.client.ThreadsClient.copy) and [JS](../reference/sdk/js_ts_sdk_ref.md#copy) SDK reference docs for more information.
Alternatively, if you already have a thread in your application whose state you wish to copy, you can use the `copy` method. This will create an independent thread whose history is identical to the original thread at the time of the operation. See the [Python](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/#langgraph_sdk.client.ThreadsClient.copy) and [JS](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/js_ts_sdk_ref/#copy) SDK reference docs for more information.
=== "Python"
@@ -237,11 +237,11 @@ Output:
### LangGraph SDK
To list threads, use the [LangGraph SDK](../../concepts/sdk.md) `search` method. This will list the threads in the application that match the provided filters. See the [Python](../reference/sdk/python_sdk_ref.md#langgraph_sdk.client.ThreadsClient.search) and [JS](../reference/sdk/js_ts_sdk_ref.md#search_2) SDK reference docs for more information.
To list threads, use the [LangGraph SDK](../../concepts/sdk.md) `search` method. This will list the threads in the application that match the provided filters. See the [Python](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/#langgraph_sdk.client.ThreadsClient.search) and [JS](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/js_ts_sdk_ref/#search_2) SDK reference docs for more information.
#### Filter by thread status
Use the `status` field to filter threads based on their status. Supported values are `idle`, `busy`, `interrupted`, and `error`. See [here](../reference/sdk/python_sdk_ref.md/?h=thread+status#langgraph_sdk.auth.types.ThreadStatus) for information on each status. For example, to view `idle` threads:
Use the `status` field to filter threads based on their status. Supported values are `idle`, `busy`, `interrupted`, and `error`. See [here](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/?h=thread+status#langgraph_sdk.auth.types.ThreadStatus) for information on each status. For example, to view `idle` threads:
=== "Python"
@@ -480,7 +480,7 @@ Optionally, to view the state of a thread at a given checkpoint, simply pass in
#### Inspect Full Thread History
To view a thread's history, use the `get_history` method. This returns a list of every state the thread experienced. For more information see the [Python](../reference/sdk/python_sdk_ref.md/#langgraph_sdk.client.ThreadsClient.get_history) and [JS](../reference/sdk/js_ts_sdk_ref.md/#gethistory) reference docs.
To view a thread's history, use the `get_history` method. This returns a list of every state the thread experienced. For more information see the [Python](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/?h=thread+status#langgraph_sdk.client.ThreadsClient.get_history) and [JS](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/js_ts_sdk_ref/#gethistory) reference docs.
### LangGraph Platform UI