Skip to main content

A wrapper of LiteLLM

Project description

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 details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

liteai_sdk-0.5.5.tar.gz (18.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

liteai_sdk-0.5.5-py3-none-any.whl (23.7 kB view details)

Uploaded Python 3

File details

Details for the file liteai_sdk-0.5.5.tar.gz.

File metadata

  • Download URL: liteai_sdk-0.5.5.tar.gz
  • Upload date:
  • Size: 18.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for liteai_sdk-0.5.5.tar.gz
Algorithm Hash digest
SHA256 8515394fd9d9e39dcd6ccf1c29a2913a8a526653270138c1302fdea920e8f309
MD5 d9009cb034f6d6564a0dcf1e6e45f81f
BLAKE2b-256 53a73708813f62ccb6a822f02a92efcd38e04b9c12e611df6f2f8d9a8bd4060c

See more details on using hashes here.

Provenance

The following attestation bundles were made for liteai_sdk-0.5.5.tar.gz:

Publisher: publish.yml on BHznJNs/liteai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file liteai_sdk-0.5.5-py3-none-any.whl.

File metadata

  • Download URL: liteai_sdk-0.5.5-py3-none-any.whl
  • Upload date:
  • Size: 23.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for liteai_sdk-0.5.5-py3-none-any.whl
Algorithm Hash digest
SHA256 827210fd0289d2d09cf14e05b591064f21ee461c84af07e6a49865ae5a85febc
MD5 72d5a52a50f76af09ab90a9ea42d179c
BLAKE2b-256 5265c4631ff4612a8e89b854c7b54e8a263bfde1367f752bb8c1e3eebbd36ada

See more details on using hashes here.

Provenance

The following attestation bundles were made for liteai_sdk-0.5.5-py3-none-any.whl:

Publisher: publish.yml on BHznJNs/liteai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page