dspy-parallel
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.
Use it when you have:
- A batch of inputs to run through the same module (classify 500 tickets, summarize 100 articles)
- Multiple independent modules to run on the same input (sentiment + topics + entities at once)
- Any set of LM calls that don't depend on each other
If call B depends on the result of call A, those two calls must be sequential. Everything else can be parallel.
Basic usage
Pass a list of (module, inputs) pairs. Each pair is one unit of work:
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