revefi-llm-sdk 0.1.3

LLM observability SDK for Revefi - Traceloop-based monitoring with custom ingestor service

Revefi LLM SDK

A minimal Python SDK for LLM observability with Revefi's monitoring platform.

Installation

pip install revefi-llm-sdk

Quick Start

from revefi_llm_sdk import init_llm_observability

# Initialize the SDK
init_llm_observability(
    api_key="your-revefi-api-key",
    agent_name="my-llm-agent",
    ingestor_url="https://your-revefi-instance.com"
)

# Your LLM calls will now be automatically tracked
import openai
client = openai.OpenAI()
response = client.chat.completions.create(
    model="gpt-3.5-turbo",
    messages=[{"role": "user", "content": "Hello!"}]
)

Configuration

• api_key: Your Revefi API key for authentication
• agent_name: Name identifier for your agent/application
• ingestor_url: Revefi ingestor service URL (defaults to localhost:6556)

Supported LLM Providers

• OpenAI
• Anthropic

Development & Distribution

Building Distribution Files

The dist/ directory contains the distribution files that are built from the source code and uploaded to PyPI. These files are generated using Python's build tools:

# Build distribution files (generates .whl and .tar.gz files in dist/)
python -m build

# This creates:
# - dist/revefi_llm_sdk-{version}-py3-none-any.whl (wheel package)
# - dist/revefi_llm_sdk-{version}.tar.gz (source distribution)

Update the version in pyproject.toml before building to ensure the correct version is included in the distribution files.

Publishing to PyPI

The distribution files are uploaded to the Python Package Index (PyPI) registry using twine:

# Upload to PyPI (requires valid PyPI credentials)
python -m twine upload dist/*

# For testing, upload to Test PyPI first:
python -m twine upload --repository testpypi dist/*

Note: The files in dist/ are automatically generated and should not be manually edited. They are created from the source code defined in revefi_llm_sdk/ and the project configuration in pyproject.toml.

License

MIT