Most of the time, you provide a thread_id to your client when you run your graph in order to keep track of prior runs through the persistent state implemented in LangGraph Platform. However, if you don’t need to persist the runs you don’t need to use the built in persistent state and can create stateless runs.

​
Setup

First, let’s setup our client: 
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()

​
Stateless streaming

We can stream the results of a stateless run in an almost identical fashion to how we stream from a run with the state attribute, but instead of passing a value to the thread_id parameter, we pass None: 
input = {
    "messages": [
        {"role": "user", "content": "Hello! My name is Bagatur and I am 26 years old."}
    ]
}

async for chunk in client.runs.stream(
    # Don't pass in a thread_id and the stream will be stateless
    None,
    assistant_id,
    input=input,
    stream_mode="updates",
):
    if chunk.data and "run_id" not in chunk.data:
        print(chunk.data)
Output: 
{'agent': {'messages': [{'content': "Hello Bagatur! It's nice to meet you. Thank you for introducing yourself and sharing your age. Is there anything specific you'd like to know or discuss? I'm here to help with any questions or topics you're interested in.", 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'ai', 'name': None, 'id': 'run-489ec573-1645-4ce2-a3b8-91b391d50a71', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None}]}}

​
Waiting for stateless results

In addition to streaming, you can also wait for a stateless result by using the .wait function like follows: 
stateless_run_result = await client.runs.wait(
    None,
    assistant_id,
    input=input,
)
print(stateless_run_result)
Output: 
{
'messages': [
{
'content': 'Hello! My name is Bagatur and I am 26 years old.',
'additional_kwargs': {},
'response_metadata': {},
'type': 'human',
'name': None,
'id': '5e088543-62c2-43de-9d95-6086ad7f8b48',
'example': False}
,
{
'content': "Hello Bagatur! It's nice to meet you. Thank you for introducing yourself and sharing your age. Is there anything specific you'd like to know or discuss? I'm here to help with any questions or topics you'd like to explore.",
'additional_kwargs': {},
'response_metadata': {},
'type': 'ai',
'name': None,
'id': 'run-d6361e8d-4d4c-45bd-ba47-39520257f773',
'example': False,
'tool_calls': [],
'invalid_tool_calls': [],
'usage_metadata': None
}
]
}