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    5. Lilypad
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    Added 6/5/2026

    Lilypad

    Tagline: Python-native LLM versioning and tracing via a single decorator.

    Lilypad is profiled here as a Observability tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.

    ObservabilityOpen Source
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    Description

    Short Intro: Lilypad is an MIT-licensed open-source tool for versioning, tracing, and annotating LLM calls, built by William Bakst (ex-Google, ex-Stanford) as part of the Mirascope ecosystem. The Mirascope GitHub README states that Lilypad will remain open-source and available but is no longer the team's primary development focus, with active work moving to the Mirascope Python toolkit. Teams evaluating Lilypad for production use should read it alongside Mirascope, the companion LLM toolkit Lilypad was built to complement.

    Key Capabilities:

    • @trace decorator that automatically versions every LLM function call with its full execution context, including input data, model settings, and surrounding code

    • Framework-agnostic tracing that works with any Python LLM library, not just Mirascope

    • Non-deterministic function support extending tracing to embedding lookups and RAG pipeline steps

    • Playground for domain experts to edit prompt templates and review outputs without writing code

    • Version comparison, A/B testing, and rollback across prompt and code changes

    • Multi-provider support for OpenAI, Anthropic, Azure, AWS Bedrock, Gemini, Mistral, and Vertex AI

    • Human annotation and dataset management for continuous evaluation

    • Self-hostable with a local run option and an enterprise edition available on request

    See Lilypad Pricing Details →

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