dspy-parallel

Name: dspy-parallel
Rating: 5 (6 reviews)
Author: lebsral

Use when you have independent LM calls that can run concurrently — batch processing, fan-out patterns, or speeding up pipelines with no data dependencies between steps. Common scenarios - processing a batch of inputs through a DSPy module concurrently, fan-out patterns where multiple independent LM calls run at once, speeding up evaluation by parallelizing predictions, or reducing wall-clock time

6stars

Updated 13 days ago

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How to add

/plugin marketplace add lebsral/DSPy-Programming-not-prompting-LMs-skills

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

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Run LM Calls in Parallel with dspy.Parallel

Guide the user through using DSPy's Parallel module to execute multiple LM calls concurrently. dspy.Parallel is the built-in way to speed up batch processing and fan-out patterns without writing threading code yourself.

What is dspy.Parallel

dspy.Parallel takes a list of (module, inputs) pairs and executes them concurrently using a thread pool. It handles threading, progress bars, error limits, and timeouts so you don't have to.