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Deploying DSPy

The tooling we ship for running DSPy programs in production: observability, reproducibility, deployment, and scalability.

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DSPy is in production at Shopify, Databricks, Dropbox, JetBlue, Moody's, Replit, AWS, Sephora, VMware, and dozens more. See companies using DSPy

  • Monitoring & Observability


    Monitor your DSPy programs using MLflow Tracing, based on OpenTelemetry.

    Set Up Observability

  • Reproducibility


    Log programs, metrics, configs, and environments for full reproducibility with DSPy's native MLflow integration.

    MLflow Integration

  • Deployment with MLflow


    When it's time to productionize, deploy your application easily with DSPy's integration with MLflow Model Serving.

    Deployment with MLflow

  • Scalability


    DSPy is designed with thread-safety in mind and offers native asynchronous execution support for high-throughput environments.

    Async Program