langgraph/docs/docs/cloud/how-tos/stream_updates.md

How to stream state updates of your graph

!!! info "Prerequisites" * Streaming

This guide covers how to use stream_mode="updates" for your graph, which will stream the updates to the graph state that are made after each node is executed. This differs from using stream_mode="values": instead of streaming the entire value of the state at each superstep, it only streams the updates from each of the nodes that made an update to the state at that superstep.

Setup

First let's set up our client and thread:

=== "Python"

```python
from langgraph_sdk import get_client

client = get_client(url=<DEPLOYMENT_URL>)
# Using the graph deployed with the name "agent"
assistant_id = "agent"
# create thread
thread = await client.threads.create()
print(thread)
```

=== "Javascript"

```js
import { Client } from "@langchain/langgraph-sdk";

const client = new Client({ apiUrl: <DEPLOYMENT_URL> });
// Using the graph deployed with the name "agent"
const assistantID = "agent";
// create thread
const thread = await client.threads.create();
console.log(thread);
```

=== "CURL"

```bash
curl --request POST \
  --url <DEPLOYMENT_URL>/threads \
  --header 'Content-Type: application/json' \
  --data '{}'
```

Output:

{
  'thread_id': '979e3c89-a702-4882-87c2-7a59a250ce16',
  'created_at': '2024-06-21T15:22:07.453100+00:00',
  'updated_at': '2024-06-21T15:22:07.453100+00:00',
  'metadata': {},
  'status': 'idle',
  'config': {},
  'values': None 
}

Stream graph in updates mode

Now we can stream by updates, which outputs updates made to the state by each node after it has executed:

=== "Python"

```python
input = {
    "messages": [
        {
            "role": "user",
            "content": "what's the weather in la"
        }
    ]
}
async for chunk in client.runs.stream(
    thread["thread_id"],
    assistant_id,
    input=input,
    stream_mode="updates",
):
    print(f"Receiving new event of type: {chunk.event}...")
    print(chunk.data)
    print("\n\n")
```

=== "Javascript"

```js
const input = {
  messages: [
    {
      role: "human",
      content: "What's the weather in la"
    }
  ]
};

const streamResponse = client.runs.stream(
  thread["thread_id"],
  assistantID,
  {
    input,
    streamMode: "updates"
  }
);

for await (const chunk of streamResponse) {
  console.log(`Receiving new event of type: ${chunk.event}...`);
  console.log(chunk.data);
  console.log("\n\n");
}
```

=== "CURL"

```bash
curl --request POST \
 --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/stream \
 --header 'Content-Type: application/json' \
 --data "{
   \"assistant_id\": \"agent\",
   \"input\": {\"messages\": [{\"role\": \"human\", \"content\": \"What's the weather in la\"}]},
   \"stream_mode\": [
     \"updates\"
   ]
 }" | \
 sed 's/\r$//' | \
 awk '
 /^event:/ {
     if (data_content != "") {
         print data_content "\n"
     }
     sub(/^event: /, "Receiving event of type: ", $0)
     printf "%s...\n", $0
     data_content = ""
 }
 /^data:/ {
     sub(/^data: /, "", $0)
     data_content = $0
 }
 END {
     if (data_content != "") {
         print data_content "\n"
     }
 }
 '
```

Output:

Receiving new event of type: metadata...
{"run_id": "cfc96c16-ed9a-44bd-b5bb-c30e3c0725f0"}



Receiving new event of type: updates...
{
  "agent": {
    "messages": [
      {
        "type": "ai",
        "tool_calls": [
          {
            "name": "tavily_search_results_json",
            "args": {
              "query": "weather in los angeles"
            },
            "id": "toolu_0148tMmDK51iLQfG1yaNwRHM"
          }
        ],
        ...
      }
    ]
  }
}



Receiving new event of type: updates...
{
  "action": {
    "messages": [
      {
        "content": [
          {
            "url": "https://www.weatherapi.com/",
            "content": "{\"location\": {\"name\": \"Los Angeles\", \"region\": \"California\", \"country\": \"United States of America\", \"lat\": 34.05, \"lon\": -118.24, \"tz_id\": \"America/Los_Angeles\", \"localtime_epoch\": 1716062239, \"localtime\": \"2024-05-18 12:57\"}, \"current\": {\"last_updated_epoch\": 1716061500, \"last_updated\": \"2024-05-18 12:45\", \"temp_c\": 18.9, \"temp_f\": 66.0, \"is_day\": 1, \"condition\": {\"text\": \"Overcast\", \"icon\": \"//cdn.weatherapi.com/weather/64x64/day/122.png\", \"code\": 1009}, \"wind_mph\": 2.2, \"wind_kph\": 3.6, \"wind_degree\": 10, \"wind_dir\": \"N\", \"pressure_mb\": 1017.0, \"pressure_in\": 30.02, \"precip_mm\": 0.0, \"precip_in\": 0.0, \"humidity\": 65, \"cloud\": 100, \"feelslike_c\": 18.9, \"feelslike_f\": 66.0, \"vis_km\": 16.0, \"vis_miles\": 9.0, \"uv\": 6.0, \"gust_mph\": 7.5, \"gust_kph\": 12.0}}"
          }
        ],
        "type": "tool",
        "name": "tavily_search_results_json",
        "tool_call_id": "toolu_0148tMmDK51iLQfG1yaNwRHM",
        ...
      }
    ]
  }
}



Receiving new event of type: updates...
{
  "agent": {
    "messages": [
      {
        "content": "The weather in Los Angeles is currently overcast with a temperature of around 66°F (18.9°C). There are light winds from the north at around 2-3 mph. The humidity is 65% and visibility is good at 9 miles. Overall, mild spring weather conditions in LA.",
        "type": "ai",
        ...
      }
    ]
  }
}



Receiving new event of type: end...
None