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Trace LLM calls with Arize AI's Phoenix observability dashboards on Hugging Face Spaces! ๐
โจ I just added a new recipe to the Open-Source AI Cookbook that shows you how to:
1๏ธโฃ Deploy Phoenix on HF Spaces with persistent storage in a few clicks
2๏ธโฃ Configure LLM tracing with the ๐ฆ๐ฒ๐ฟ๐๐ฒ๐ฟ๐น๐ฒ๐๐ ๐๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฃ๐
3๏ธโฃ Observe multi-agent application runs with the CrewAI integration
๐ข๐ฏ๐๐ฒ๐ฟ๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐ถ๐ ๐ฐ๐ฟ๐๐ฐ๐ถ๐ฎ๐น for building robust LLM apps.
Phoenix makes it easy to visualize trace data, evaluate performance, and track down issues. Give it a try!
๐ Cookbook recipe: https://huggingface.co/learn/cookbook/en/phoenix_observability_on_hf_spaces
๐ Phoenix docs: https://docs.arize.com/phoenix
โจ I just added a new recipe to the Open-Source AI Cookbook that shows you how to:
1๏ธโฃ Deploy Phoenix on HF Spaces with persistent storage in a few clicks
2๏ธโฃ Configure LLM tracing with the ๐ฆ๐ฒ๐ฟ๐๐ฒ๐ฟ๐น๐ฒ๐๐ ๐๐ป๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฃ๐
3๏ธโฃ Observe multi-agent application runs with the CrewAI integration
๐ข๐ฏ๐๐ฒ๐ฟ๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐ถ๐ ๐ฐ๐ฟ๐๐ฐ๐ถ๐ฎ๐น for building robust LLM apps.
Phoenix makes it easy to visualize trace data, evaluate performance, and track down issues. Give it a try!
๐ Cookbook recipe: https://huggingface.co/learn/cookbook/en/phoenix_observability_on_hf_spaces
๐ Phoenix docs: https://docs.arize.com/phoenix