LiteAI-SDK

LiteAI-SDK is a wrapper of LiteLLM which provides a more intuitive API and AI SDK like DX.

Installation

pip install liteai-sdk

Develop with coding agent

You can access the complete usage guidance with llms.txt, just give it to your coding agent to tell it how to use LiteAI-SDK.

Examples

Below is a simple example of just a API call:

import os
from dotenv import load_dotenv
from liteai_sdk import LLM, LlmProviders, LlmRequestParams, UserMessage

load_dotenv()

llm = LLM(provider=LlmProviders.OPENAI,
          api_key=os.getenv("API_KEY", ""),
          base_url=os.getenv("BASE_URL", ""))

response = llm.generate_text_sync( # sync API of generate_text
    LlmRequestParams(
        model="deepseek-v3.1",
        messages=[UserMessage(content="Hello.")]))
print(response)

Below is an example that shows the automatically tool call:

import os
from dotenv import load_dotenv
from liteai_sdk import LLM, LlmProviders, LlmRequestParams, UserMessage

load_dotenv()

def example_tool():
    """
    This is a test tool that is used to test the tool calling functionality.
    """
    print("The example tool is called.")
    return "Hello World"

llm = LLM(provider=LlmProviders.OPENAI,
          api_key=os.getenv("API_KEY", ""),
          base_url=os.getenv("BASE_URL", ""))

params = LlmRequestParams(
        model="deepseek-v3.1",
        tools=[example_tool],
        execute_tools=True,
        messages=[UserMessage(content="Please call the tool example_tool.")])

print("User: ", "Please call the tool example_tool.")
messages = llm.generate_text_sync(params)
for message in messages:
    match message.role:
        case "assistant":
            print("Assistant: ", message.content)
        case "tool":
            print("Tool: ", message.result)

Project links

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Credits

Author: BHznJNs

GitHub Statistics

Data verified by PyPI on Jan 29, 2026
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License

MIT License

Requires

Python >=3.10

Provides Extra

dev test

Classifiers

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