> For the complete documentation index, see [llms.txt](https://infronai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://infronai.gitbook.io/docs/llm-apis/api-guides/streaming.md).

# Streaming

To enable streaming, you can set the `stream` parameter to `true` in your request. The model will then stream the response to the client in chunks, rather than returning the entire response at once.

### Examples <a href="#examples" id="examples"></a>

Here is an example of how to stream a response, and process it:

{% tabs %}
{% tab title="Python" %}

```python
import requests
import json

question = "How would you build the tallest building ever?"

url = "https://llm.onerouter.pro/v1/chat/completions"
headers = {
  "Authorization": f"Bearer {{API_KEY}}",
  "Content-Type": "application/json"
}

payload = {
  "model": "google/gemini-2.5-flash",
  "messages": [{"role": "user", "content": question}],
  "stream": True
}

buffer = ""
with requests.post(url, headers=headers, json=payload, stream=True) as r:
  for chunk in r.iter_content(chunk_size=1024, decode_unicode=True):
    buffer += chunk
    while True:
      try:
        # Find the next complete SSE line
        line_end = buffer.find('\n')
        if line_end == -1:
          break

        line = buffer[:line_end].strip()
        buffer = buffer[line_end + 1:]

        if line.startswith('data: '):
          data = line[6:]
          if data == '[DONE]':
            break

          try:
            data_obj = json.loads(data)
            content = data_obj["choices"][0]["delta"].get("content")
            if content:
              print(content, end="", flush=True)
          except json.JSONDecodeError:
            pass
      except Exception:
        break
```

{% endtab %}

{% tab title="Typescript" %}

{% endtab %}

{% tab title="cURL" %}

```bash

curl -sN \
  -H "Authorization: Bearer YOUR-API-KEY" \
  -H "Content-Type: application/json" \
  -X POST "https://llm.onerouter.pro/v1/chat/completions" \
  -d '{
    "model": "google/gemini-2.5-flash",
    "messages": [{"role": "user", "content": "How would you build the tallest building ever?"}],
    "stream": true
  }' | while IFS= read -r line; do
      if [[ "$line" == data:* ]]; then
          data="${line#data: }"

          if [[ "$data" == "[DONE]" ]]; then
              break
          fi

          content=$(echo "$data" | jq -r '.choices[0].delta.content // empty' 2>/dev/null)
          if [[ -n "$content" ]]; then
              printf "%s" "$content"
          fi
      fi
  done
```

{% endtab %}
{% endtabs %}

### Additional Information <a href="#additional-information" id="additional-information"></a>

For SSE (Server-Sent Events) streams, Infron occasionally sends `comments` to prevent connection timeouts. These comments look like:

```
INFRONAI PROCESSING
```

Comment payload can be safely ignored per the [SSE specs](https://html.spec.whatwg.org/multipage/server-sent-events.html#event-stream-interpretation). However, you can leverage it to improve UX as needed, e.g. by showing a dynamic loading indicator.

Some SSE client implementations might not parse the payload according to spec, which leads to an uncaught error when you `JSON.stringify` the non-JSON payloads. We recommend the following clients:

* [eventsource-parser](https://github.com/rexxars/eventsource-parser)
* [OpenAI SDK](https://www.npmjs.com/package/openai)
* [Vercel AI SDK](https://www.npmjs.com/package/ai)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://infronai.gitbook.io/docs/llm-apis/api-guides/streaming.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.