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fixing links

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Sydney Runkle
2025-04-23 21:15:55 -07:00
parent d67abdd112
commit d6c12133ad
15 changed files with 66 additions and 72 deletions
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docs/docs/cloud/how-tos/clone_traces_studio.md
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@@ -22,7 +22,7 @@ To support this, LangGraph Studio, in combination with LangSmith, allows you to
First navigate to the LangSmith trace. Here you should see a button to "Run in Studio".
![Run in Studio](../img/run_in_studio.png){width=1200}
![Run in Studio](img/run_in_studio.png){width=1200}
This will prompt you to enter the url that your locally running agent is accessible at. Once provided, select "Clone thread locally". If you have multiple graphs in your agent, you will also be prompted to select a graph to clone this thread under.
docs/docs/cloud/how-tos/iterate_graph_studio.md
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@@ -119,11 +119,11 @@ With this set up, running your graph and viewing in LangGraph Studio will result
**Note the configuration icon in the top right corner of the `call_model` node**:
![Graph in Studio](../img/studio_graph_with_configuration.png){width=1200}
![Graph in Studio](img/studio_graph_with_configuration.png){width=1200}
Clicking this icon will open a modal where you can edit the configuration for all of the fields associated with the `call_model` node. From here, you can save your changes and apply them to the graph. Note that these values reflect the currently active assistant, and saving will update the assistant with the new values.
![Configuration modal](../img/studio_node_configuration.png){width=1200}
![Configuration modal](img/studio_node_configuration.png){width=1200}
### Playground
@@ -133,7 +133,7 @@ LangGraph Studio also supports prompt engineering through an integration with th
2. Within the thread log, any nodes that have made an LLM call will have a "View LLM Runs" button. Clicking this will open a popover with the LLM runs for that node.
3. Select the LLM run you want to edit. This will open the LangSmith Playground with the selected LLM run.
![Playground in Studio](../img/studio_playground.png){width=1200}
![Playground in Studio](img/studio_playground.png){width=1200}
From here you can edit the prompt, test different model configurations and re-run just this LLM call without having to re-run the entire graph. When you are happy with your changes, you can copy the updated prompt back into your graph.
docs/docs/cloud/how-tos/stream_events.md
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# How to stream events
!!! info "Prerequisites"
* [Streaming](../../concepts/streaming.md#streaming-llm-tokens-and-events-astream_events)
* [Streaming](../../concepts/streaming.md#streaming-graph-outputs-stream-and-astream)
This guide covers how to stream events from your graph (`stream_mode="events"`). Depending on the use case and user experience of your LangGraph application, your application may process event types differently.
docs/docs/cloud/how-tos/use_stream_react.md
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@@ -476,7 +476,7 @@ The `useStream()` hook provides several callback options to help you respond to
- `onError`: Called when an error occurs.
- `onFinish`: Called when the stream is finished.
- `onUpdateEvent`: Called when an update event is received.
- `onCustomEvent`: Called when a custom event is received. See [Custom events](../../concepts/streaming.md#custom) to learn how to stream custom events.
- `onCustomEvent`: Called when a custom event is received. See [Custom events](../../how-tos/streaming.ipynb#custom) to learn how to stream custom events.
- `onMetadataEvent`: Called when a metadata event is received, which contains the Run ID and Thread ID.
## Learn More