@arizeai/phoenix-mcp

--- description: >- DSPy is an open-source Python framework for declaratively programming modular LLM pipelines and automatically optimizing prompts and model weights --- # DSPy **Website**: [https://dspy.ai/](https://dspy.ai/) <table data-card-size="large" data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="files"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><a href="dspy-tracing.md"><strong>DSPy Tracing</strong></a></td><td><a href="../../.gitbook/assets/dspy.avif">dspy.avif</a></td><td><a href="dspy-tracing.md">dspy-tracing.md</a></td></tr></tbody></table> ### Featured Tutorials&#x20; <table data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><a href="https://colab.research.google.com/github/Arize-ai/phoenix/blob/main/tutorials/tracing/dspy_tracing_tutorial.ipynb">Tracing &#x26; Eval of DSPy Application</a></td><td><a href="https://colab.research.google.com/github/Arize-ai/phoenix/blob/main/tutorials/tracing/llama_index_tracing_tutorial.ipynb">https://colab.research.google.com/github/Arize-ai/phoenix/blob/main/tutorials/tracing/llama_index_tracing_tutorial.ipynb</a></td><td><a href="../../.gitbook/assets/Tutorials.jpg">Tutorials.jpg</a></td></tr></tbody></table>