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Overview

RedPill is fully compatible with the official OpenAI SDK. Just change the base URL and you get access to 50+ models with TEE privacy protection.
The easiest way to get started - works with your existing OpenAI code!

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Installation

pip install openai

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Python Quick Start

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Basic Setup

from openai import OpenAI

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

response = client.chat.completions.create(
    model="openai/gpt-5",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain how TEE protects my data"}
    ]
)

print(response.choices[0].message.content)

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Streaming Responses

from openai import OpenAI

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

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

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

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Function Calling

from openai import OpenAI

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

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "Get current weather in a location",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "City name, e.g. San Francisco"
                    },
                    "unit": {
                        "type": "string",
                        "enum": ["celsius", "fahrenheit"]
                    }
                },
                "required": ["location"]
            }
        }
    }
]

response = client.chat.completions.create(
    model="openai/gpt-5",
    messages=[{"role": "user", "content": "What's the weather in Paris?"}],
    tools=tools
)

# Check if model wants to call a function
if response.choices[0].message.tool_calls:
    tool_call = response.choices[0].message.tool_calls[0]
    print(f"Function: {tool_call.function.name}")
    print(f"Arguments: {tool_call.function.arguments}")

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Embeddings

from openai import OpenAI

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

response = client.embeddings.create(
    model="text-embedding-3-small",
    input="RedPill protects your AI requests with hardware TEE"
)

embedding = response.data[0].embedding
print(f"Embedding dimensions: {len(embedding)}")  # 1536

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Vision (Image Analysis)

from openai import OpenAI

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

response = client.chat.completions.create(
    model="openai/gpt-5",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What's in this image?"},
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://example.com/image.jpg"
                    }
                }
            ]
        }
    ]
)

print(response.choices[0].message.content)

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TypeScript/JavaScript Quick Start

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Basic Setup

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.REDPILL_API_KEY,
  baseURL: 'https://api.redpill.ai/v1'
});

async function main() {
  const response = await client.chat.completions.create({
    model: 'openai/gpt-5',
    messages: [
      { role: 'system', content: 'You are a helpful assistant.' },
      { role: 'user', content: 'Explain how TEE protects my data' }
    ]
  });

  console.log(response.choices[0].message.content);
}

main();

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Streaming in TypeScript

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.REDPILL_API_KEY,
  baseURL: 'https://api.redpill.ai/v1'
});

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

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

main();

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Function Calling in TypeScript

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.REDPILL_API_KEY!,
  baseURL: 'https://api.redpill.ai/v1'
});

async function main() {
  const tools: OpenAI.Chat.ChatCompletionTool[] = [
    {
      type: 'function',
      function: {
        name: 'get_weather',
        description: 'Get current weather in a location',
        parameters: {
          type: 'object',
          properties: {
            location: {
              type: 'string',
              description: 'City name'
            },
            unit: {
              type: 'string',
              enum: ['celsius', 'fahrenheit']
            }
          },
          required: ['location']
        }
      }
    }
  ];

  const response = await client.chat.completions.create({
    model: 'openai/gpt-5',
    messages: [{ role: 'user', content: "What's the weather in Paris?" }],
    tools
  });

  const toolCall = response.choices[0].message.tool_calls?.[0];
  if (toolCall) {
    console.log('Function:', toolCall.function.name);
    console.log('Arguments:', toolCall.function.arguments);
  }
}

main();

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Using Multiple Models

RedPill gives you access to 50+ models through the same SDK: 
from openai import OpenAI

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

# OpenAI GPT-4o for general tasks
gpt4_response = client.chat.completions.create(
    model="openai/gpt-5",
    messages=[{"role": "user", "content": "Summarize this article..."}]
)

# Anthropic Claude for analysis
claude_response = client.chat.completions.create(
    model="anthropic/claude-sonnet-4.5",
    messages=[{"role": "user", "content": "Analyze this data..."}]
)

# DeepSeek for coding
deepseek_response = client.chat.completions.create(
    model="deepseek/deepseek-chat",
    messages=[{"role": "user", "content": "Write a Python function..."}]
)

# Phala TEE model for sensitive data
phala_response = client.chat.completions.create(
    model="phala/qwen-2.5-7b-instruct",
    messages=[{"role": "user", "content": "Process this confidential..."}]
)

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Environment Variables

Never hardcode API keys. Use environment variables:
.env
REDPILL_API_KEY=sk-your-api-key-here
Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("REDPILL_API_KEY"),
    base_url="https://api.redpill.ai/v1"
)
TypeScript
// Uses process.env.REDPILL_API_KEY automatically
const client = new OpenAI({
  baseURL: 'https://api.redpill.ai/v1'
});

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Error Handling

from openai import OpenAI, APIError, RateLimitError

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

try:
    response = client.chat.completions.create(
        model="openai/gpt-5",
        messages=[{"role": "user", "content": "Hello!"}]
    )
    print(response.choices[0].message.content)

except RateLimitError:
    print("Rate limit exceeded. Please wait and retry.")

except APIError as e:
    print(f"API error: {e}")

except Exception as e:
    print(f"Unexpected error: {e}")

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Async Support

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Python Async

import asyncio
from openai import AsyncOpenAI

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

async def main():
    response = await client.chat.completions.create(
        model="openai/gpt-5",
        messages=[{"role": "user", "content": "Hello!"}]
    )
    print(response.choices[0].message.content)

asyncio.run(main())

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TypeScript Async (built-in)

// All OpenAI SDK methods are async by default in TypeScript
const response = await client.chat.completions.create({
  model: 'openai/gpt-5',
  messages: [{ role: 'user', content: 'Hello!' }]
});

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Migration from OpenAI

1

Update Base URL

Add base_url="https://api.redpill.ai/v1" to your client initialization
2

Update API Key

Replace your OpenAI API key with your RedPill API key
3

Add Provider Prefix

Change model="gpt-4" to model="openai/gpt-5"
4

Test

Run your application - everything else stays the same!

Detailed Migration Guide

Full migration guide with examples →

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Supported Features

FeaturePythonTypeScriptNotes
Chat Completions✅✅All 50+ models
Streaming✅✅Real-time responses
Function Calling✅✅Tool use support
Embeddings✅✅Vector generation
Vision✅✅Image analysis
Async/Await✅✅Non-blocking calls
ModelBest ForContext
openai/gpt-5General purpose128K tokens
anthropic/claude-sonnet-4.5Reasoning, analysis200K tokens
deepseek/deepseek-chatCoding tasks64K tokens
google/gemini-2.5-proMultimodal tasks2M tokens
phala/qwen-2.5-7b-instructConfidential AI (TEE)32K tokens

View All Models

Browse complete model list →

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Example Projects

CLI Chatbot

Build a command-line AI assistant

Document Q&A

Create a RAG system with embeddings

Code Assistant

Build an AI pair programmer

Data Analyzer

Analyze datasets with AI

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Next Steps

Function Calling Guide

Learn advanced function calling

Streaming Guide

Implement streaming responses

Vision Guide

Work with images and vision models

Error Handling

Handle errors gracefully