llmgateway-sdk 0.1.1

LLMGateway Python SDK Client

LLMGateway Python SDK

A Python SDK for interacting with the LLMGateway API.

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Project	Status
CI
Meta

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Installation

# using pip
pip install llmgateway-sdk

# using uv
uv pip install llmgateway-sdk

# using poetry
poetry add llmgateway-sdk

Usage

Basic Usage

from llmgateway import LLMGatewayClient, ChatCompletionRequest, Message

# Initialize the client
client = LLMGatewayClient(api_key="your-api-key")

# Create a chat completion request
request = ChatCompletionRequest(
    model="gpt-4",
    messages=[
        Message(role="user", content="Hello!")
    ]
)

# Get a completion
response = client.chat_completions(request)
print(response.message)

# List available models
models = client.list_models()
for model in models.data:
    print(f"Model: {model.name} (ID: {model.id})")

Async Usage

import asyncio
from llmgateway import LLMGatewayClient, ChatCompletionRequest, Message

async def main():
    client = LLMGatewayClient(api_key="your-api-key")

    request = ChatCompletionRequest(
        model="gpt-4",
        messages=[
            Message(role="user", content="Hello!")
        ]
    )

    # Get a completion asynchronously
    response = await client.achat_completions(request)
    print(response.message)

    # List models asynchronously
    models = await client.alist_models()
    for model in models.data:
        print(f"Model: {model.name} (ID: {model.id})")

    # Don't forget to close the client
    await client.aclose()

asyncio.run(main())

Streaming Responses

from llmgateway import LLMGatewayClient, ChatCompletionRequest, Message

client = LLMGatewayClient(api_key="your-api-key")

request = ChatCompletionRequest(
    model="gpt-4",
    messages=[
        Message(role="user", content="Tell me a story")
    ],
    stream=True
)

# Get streaming responses
for response in client.chat_completions(request):
    print(response.message, end="", flush=True)

Features

• Synchronous and asynchronous API support
• Streaming responses
• Type hints and validation using Pydantic
• Comprehensive test coverage
• Modern Python packaging with pyproject.toml

License

MIT License