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LangWatch integrates with DSPy to automatically capture detailed information about your DSPy program executions, including module calls and language model interactions.

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Installation

pip install langwatch dspy

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Usage

The LangWatch API key is configured by default via the LANGWATCH_API_KEY environment variable.
Use autotrack_dspy() to automatically capture all DSPy operations within a trace. 
import langwatch
import dspy
import os

langwatch.setup()

# Initialize your DSPy LM (Language Model)
lm = dspy.LM(
    "openai/gpt-5",
    api_key=os.environ.get("OPENAI_API_KEY"),
    temperature=1.0,
    max_tokens=16000,
)
dspy.settings.configure(lm=lm)


@langwatch.trace(name="DSPy RAG Execution")
def run_dspy_program(user_query: str):
    langwatch.get_current_trace().autotrack_dspy()

    module = dspy.Predict("question -> answer")
    prediction = module(question=user_query)
    return prediction.answer


def main():
    user_question = "What is the capital of France?"
    response = run_dspy_program(user_question)
    print(f"Question: {user_question}")
    print(f"Answer: {response}")


if __name__ == "__main__":
    main()
The @langwatch.trace() decorator creates a parent trace, and autotrack_dspy() enables automatic tracking of all DSPy operations, including module calls and underlying LM interactions, for the duration of that trace.