API Documentation

from openai import OpenAI

client = OpenAI(
    base_url="https://botstrapp.ai/v1",
    api_key="bst_your_api_key_here",
)

response = client.chat.completions.create(
    model="gemini/gemini-2.5-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: 'https://botstrapp.ai/v1',
    apiKey: 'bst_your_api_key_here',
});

const response = await client.chat.completions.create({
    model: 'gpt-4o',
    messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0].message.content);

curl https://botstrapp.ai/v1/chat/completions \
  -H "Authorization: Bearer bst_your_api_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-4-20250514",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Authorization: Bearer bst_your_api_key_here

# Before (OpenAI only)
client = OpenAI(api_key="sk-...")

# After (Botstrapp.ai — access ALL models)
client = OpenAI(
    base_url="https://botstrapp.ai/v1",
    api_key="bst_...",
)

# Now you can use any model — same syntax:
client.chat.completions.create(model="gpt-4o", ...)
client.chat.completions.create(model="claude-sonnet-4-20250514", ...)
client.chat.completions.create(model="gemini/gemini-2.5-pro", ...)
client.chat.completions.create(model="groq/llama-3.3-70b-versatile", ...)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "gpt-4o",
  "choices": [{
    "index": 0,
    "message": {
      "role": "assistant",
      "content": "Hello! How can I help you today?"
    },
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 12,
    "completion_tokens": 9,
    "total_tokens": 21
  }
}