DSPy¶

Logfire supports instrumenting DSPy with the logfire.instrument_dspy() method.

Installation¶

Install logfire with the dspy extra and the DSPy package:

pipuv

pip install 'logfire[dspy]'

uv add 'logfire[dspy]'

pip install dspy-ai

Usage¶

import dspy

import logfire

logfire.configure()
logfire.instrument_dspy()

lm = dspy.LM('openai/gpt-5-mini')
dspy.configure(lm=lm)


class ExtractInfo(dspy.Signature):
    """Extract structured information from text."""

    text: str = dspy.InputField()
    title: str = dspy.OutputField()
    headings: list[str] = dspy.OutputField()
    entities: list[dict[str, str]] = dspy.OutputField(desc='a list of entities and their metadata')


module = dspy.Predict(ExtractInfo)

text = (
    'Apple Inc. announced its latest iPhone 14 today. '
    'The CEO, Tim Cook, highlighted its new features in a press release.'
)
response = module(text=text)

print(response.title)
print(response.headings)
print(response.entities)

logfire.instrument_dspy() uses the DSPyInstrumentor().instrument() method of the openinference-instrumentation-dspy package.