dspy-utils
DSPy Utilities: Streaming, Caching, Debugging, and More
Guide the user through DSPy's utility functions for production workflows -- streaming LM outputs, controlling caching, debugging calls, persisting optimized programs, running async, integrating MCP tools, and enforcing runtime constraints.
1. StreamListener and streamify -- streaming LM outputs
Use streamify to wrap a DSPy program so it yields output tokens incrementally instead of waiting for the full response. Use StreamListener to capture streaming output from specific signature fields.
streamify
from dspy.streaming import streamify, StreamListener
# Wrap any DSPy module for streaming
streaming_program = streamify(
program, # The DSPy Module to stream
stream_listeners=[...], # List of StreamListener instances
include_final_prediction_in_output_stream=True, # Include final Prediction in stream
is_async_program=False, # Set True if program is already async
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