DSPy - Future AGI Documentation

1. Installation

Install the traceAI and dspy package.

pip install traceAI-DSPy dspy

2. Set Environment Variables

Set up your environment variables to authenticate with FutureAGI and OpenAI.

import os

os.environ["OPENAI_API_KEY"] = "your-openai-api-key"
os.environ["FI_API_KEY"] = "your-futureagi-api-key"
os.environ["FI_SECRET_KEY"] = "your-futureagi-secret-key"

3. Initialize Trace Provider

Set up the trace provider to create a new project in FutureAGI, establish telemetry data pipelines .

from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType

trace_provider = register(
    project_type=ProjectType.OBSERVE,
    project_name="dspy_project",
)

4. Instrument your Project

Initialize the DSPy instrumentor to enable automatic tracing.

from traceai_dspy import DSPyInstrumentor

DSPyInstrumentor().instrument(tracer_provider=trace_provider)

5. Create DSPy Components and Run your application

Run DSPy as you normally would. Our Instrumentor will automatically trace and send the telemetry data to our platform.

import dspy

class BasicQA(dspy.Signature):
    """Answer questions with short factoid answers."""

    question = dspy.InputField()
    answer = dspy.OutputField(desc="often between 1 and 5 words")

if __name__ == "__main__":
    turbo = dspy.LM(model="openai/gpt-4")

    dspy.settings.configure(lm=turbo)

    # Define the predictor.
    generate_answer = dspy.Predict(BasicQA)

    # Call the predictor on a particular input.
    pred = generate_answer(question="What is the capital of the united states?")
    print(f"Predicted Answer: {pred.answer}")