primellm 0.2.0

Official Python client for the PrimeLLM unified AI API

PrimeLLM Python SDK

Official Python SDK for the PrimeLLM unified AI API.

Installation (Local Development)

cd py-sdk
pip install -e .

Quick Start

from primellm import PrimeLLM

# Create client with API key
client = PrimeLLM(api_key="primellm_live_XXXX")

# Or set PRIMELLM_API_KEY environment variable
# client = PrimeLLM()

# Make a chat request
resp = client.chat(
    model="gpt-5.1",
    messages=[{"role": "user", "content": "Hello!"}],
)

# Access the response
print(resp["choices"][0]["message"]["content"])
print(resp["usage"]["total_tokens"])
print(resp["credits"]["remaining"])

Available Models

Model	Description
gpt-5.1	Latest GPT model
claude-sonnet-4.5	Claude Sonnet 4.5
gemini-3.0	Gemini 3.0

API Reference

PrimeLLM(api_key=None, base_url="https://api.primellm.in")

Create a new PrimeLLM client.

• api_key: Your PrimeLLM API key. If not provided, reads from PRIMELLM_API_KEY env var.
• base_url: API base URL (default: https://api.primellm.in)

client.chat(model, messages, **kwargs)

Send a chat completion request (OpenAI-compatible format).

Parameters:

• model: Model name (e.g., "gpt-5.1")
• messages: List of message dicts with role and content
• **kwargs: Additional parameters like temperature, max_tokens

Returns: Dict with OpenAI-style response:

{
    "id": "chatcmpl_xxx",
    "model": "gpt-5.1",
    "choices": [
        {
            "message": {"role": "assistant", "content": "..."},
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 10,
        "completion_tokens": 20,
        "total_tokens": 30
    },
    "credits": {
        "cost": 0.00006,
        "remaining": 149.99
    }
}

client.generate(model, messages, **kwargs)

Legacy endpoint (for backwards compatibility).

Returns:

{
    "reply": "...",
    "model": "gpt-5.1",
    "tokens_used": 30,
    "cost": 0.00006,
    "credits_remaining": 149.99
}

Examples

With System Prompt

resp = client.chat(
    model="claude-sonnet-4.5",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "What is Python?"},
    ],
)

With Temperature

resp = client.chat(
    model="gpt-5.1",
    messages=[{"role": "user", "content": "Write a poem"}],
    temperature=0.9,
)

Environment Variables

Variable	Description
PRIMELLM_API_KEY	Your PrimeLLM API key

License

MIT