Python (OpenAI SDK)
# Change only these 2 lines
client = OpenAI(
base_url="https://api.aicredits.in/v1",
api_key="sk-your-aicredits-key"
)
# Access any model by name
response = client.chat.completions.create(
model="claude-3-5-sonnet",
messages=[{"role": "user", "content": "Hello"}],
)TypeScript (OpenAI SDK)
// Change only these 2 lines
const client = new OpenAI({
baseURL: "https://api.aicredits.in/v1",
apiKey: "sk-your-aicredits-key",
});
// Access Claude, Gemini, DeepSeek & more
const response = await client.chat.completions.create({
model: "gemini-1.5-flash",
messages: [{ role: "user", content: "Hello" }],
});It means AICredits uses the exact same API format as OpenAI's chat completions endpoint. You change base_url and api_key — everything else in your code (messages format, streaming, tool definitions, response parsing) stays identical.
Yes. Set the base_url to https://api.aicredits.in/v1 in your ChatOpenAI or OpenAI LangChain wrapper. LangChain doesn't need to know you've switched — it just works.
Yes. Specify 'claude-3-5-sonnet' or 'gemini-1.5-pro' as the model field in your request. AICredits routes it to the correct provider and translates the response back to OpenAI format.
Yes. Server-sent events (SSE) streaming works identically. Set stream=True in your request and parse the chunks exactly as you would with OpenAI.
Full tool calling support is available for models that support it. The request and response format is identical to OpenAI's tool_calls format.