openpipe 3.3.3

Python client library for the OpenPipe service

OpenPipe Python Client

This client allows you automatically report your OpenAI calls to OpenPipe. OpenPipe

Installation

pip install openpipe

Usage

1. Create a project at https://app.openpipe.ai
2. Find your project's API key at https://app.openpipe.ai/project/settings
3. Configure the OpenPipe client as shown below.

from openpipe import openai, configure_openpipe
import os

# Set the OpenPipe API key you got in step (2) above.
# If you have the `OPENPIPE_API_KEY` environment variable set we'll read from it by default.
configure_openpipe(api_key=os.getenv("OPENPIPE_API_KEY"))

# Configure OpenAI the same way you would normally
openai.api_key = os.getenv("OPENAI_API_KEY")

You can now use your new OpenAI client, which functions identically to the generic OpenAI client while also reporting calls to your OpenPipe instance.

Special Features

Tagging

OpenPipe has a concept of "tagging." This is very useful for grouping a certain set of completions together. When you're using a dataset for fine-tuning, you can select all the prompts that match a certain set of tags. Here's how you can use the tagging feature:

completion = openai.ChatCompletion.create(
    model="gpt-3.5-turbo",
    messages=[{"role": "system", "content": "count to 10"}],
    openpipe={
        "tags": {"prompt_id": "counting"},
        "log_request": True, # Enable/disable data collection. Defaults to True.
    },
)