> ## Documentation Index
> Fetch the complete documentation index at: https://docs.chainlit.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Streaming

Chainlit supports streaming for both [Message](/concepts/message) and [Step](/concepts/step). Here is an example with `openai`.

<Frame caption="Streaming OpenAI response">
  <img src="https://mintcdn.com/chainlit-43/bY2N4qUEa_bGPLfY/images/streaming.gif?s=c57ebca792a9a523924eaa4e8d2e3e98" width="1196" height="720" data-path="images/streaming.gif" />
</Frame>

```python theme={null}
from openai import AsyncOpenAI
import chainlit as cl

client = AsyncOpenAI(api_key="YOUR_OPENAI_API_KEY")


settings = {
    "model": "gpt-3.5-turbo",
    "temperature": 0.7,
    "max_tokens": 500,
    "top_p": 1,
    "frequency_penalty": 0,
    "presence_penalty": 0,
}


@cl.on_chat_start
def start_chat():
    cl.user_session.set(
        "message_history",
        [{"role": "system", "content": "You are a helpful assistant."}],
    )


@cl.on_message
async def main(message: cl.Message):
    message_history = cl.user_session.get("message_history")
    message_history.append({"role": "user", "content": message.content})

    msg = cl.Message(content="")

    stream = await client.chat.completions.create(
        messages=message_history, stream=True, **settings
    )

    async for part in stream:
        if token := part.choices[0].delta.content or "":
            await msg.stream_token(token)

    message_history.append({"role": "assistant", "content": msg.content})
    await msg.update()
```

## Integrations

Streaming is also supported at a higher level for some integrations.

For example, to use streaming with Langchain just pass `streaming=True` when instantiating the LLM:

```python theme={null}
llm = OpenAI(temperature=0, streaming=True)
```

Also make sure to pass a [callback handler](/api-reference/integrations/langchain) to your chain or agent run.

See [here](/api-reference/integrations/langchain#final-answer-streaming) for final answer streaming.