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@@ -125,7 +125,7 @@ Once your application is deployed, you can test it in **LangGraph Studio**.
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The API calls below are for the **ReAct Agent** template. If you're deploying a different application, you may need to adjust the API calls accordingly.
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Before using, you need to get the URL of your LangGraph deployment. You can find this in the `Deployment` view. Click the URL to copy it to the clipboard.
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Before using, you need to get the `URL` of your LangGraph deployment. You can find this in the `Deployment` view. Click the `URL` to copy it to the clipboard.
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You also need to make sure you have set up your API key properly, so you can authenticate with LangGraph Cloud.
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@@ -146,7 +146,7 @@ export LANGSMITH_API_KEY=...
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```python
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from langgraph_sdk import get_client
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client = get_client(url="http://localhost:8123")
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client = get_client(url="your-deployment-url", api_key="your-langsmith-api-key")
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async for chunk in client.runs.stream(
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None, # Threadless run
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@@ -177,7 +177,7 @@ export LANGSMITH_API_KEY=...
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```python
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from langgraph_sdk import get_sync_client
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client = get_sync_client(url="http://localhost:8123")
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client = get_sync_client(url="your-deployment-url", api_key="your-langsmith-api-key")
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for chunk in client.runs.stream(
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None, # Threadless run
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@@ -209,7 +209,7 @@ export LANGSMITH_API_KEY=...
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const { Client } = await import("@langchain/langgraph-sdk");
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// only set the apiUrl if you changed the default port when calling langgraph up
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const client = new Client({ apiUrl: "http://localhost:8123"});
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const client = new Client({ apiUrl: "your-deployment-url", apiKey: "your-langsmith-api-key" });
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const streamResponse = client.runs.stream(
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null, // Threadless run
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