Streaming Responses - RedPill AI

Overview

Streaming allows you to receive responses in real-time as they’re generated, instead of waiting for the complete response.

Enable Streaming

Set stream: true in your request:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.redpill.ai/v1"
)

stream = client.chat.completions.create(
    model="openai/gpt-5",
    messages=[{"role": "user", "content": "Write a long story"}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

import OpenAI from 'openai';

const stream = await client.chat.completions.create({
  model: 'openai/gpt-5',
  messages: [{ role: 'user', content: 'Write a long story' }],
  stream: true
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content || '');
}

curl https://api.redpill.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5",
    "messages": [{"role": "user", "content": "Write a story"}],
    "stream": true
  }'

Stream Format

Responses are sent as Server-Sent Events (SSE):

data: {"id":"chatcmpl-123","choices":[{"delta":{"content":"Hello"}}]}

data: {"id":"chatcmpl-123","choices":[{"delta":{"content":" world"}}]}

data: [DONE]

Error Handling

try:
    stream = client.chat.completions.create(
        model="openai/gpt-5",
        messages=[...],
        stream=True
    )
    for chunk in stream:
        print(chunk.choices[0].delta.content or "", end="")
except Exception as e:
    print(f"Stream error: {e}")

Use Cases

Chatbots: Display responses as they’re typed
Code generation: Show code as it’s written
Long-form content: Stream articles/essays
Better UX: Reduce perceived latency

All chat models support streaming, including GPU TEE confidential models.