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DSPy

DSPy is the framework for programming—rather than prompting—language models.

Opik integrates with DSPy to log traces for all DSPy calls.

You can check out the Colab Notebook if you'd like to jump straight to the code: Open In Colab

Getting started​

First, ensure you have both opik and dspy installed:

pip install opik dspy

In addition, you can configure Opik using the opik configure command which will prompt you for the correct local server address or if you are using the Cloud platfrom your API key:

opik configure

Logging DSPy calls​

To log a DSPy pipeline run, you can use the OpikCallback. This callback will log each DSPy run to Opik:

import dspy
from opik.integrations.dspy.callback import OpikCallback

project_name = "DSPY"

lm = dspy.LM(
    model="openai/gpt-4o-mini",
)
dspy.configure(lm=lm)


opik_callback = OpikCallback(project_name=project_name)
dspy.settings.configure(
    callbacks=[opik_callback],
)

cot = dspy.ChainOfThought("question -> answer")
cot(question="What is the meaning of life?")

Each run will now be logged to the Opik platform:

DSPy