Trying to instrument an agentic app with Arize Phoenix and litellm

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This article details the process of instrumenting an LLM-powered, agentic application for observability. It provides a step-by-step tutorial on integrating Arize Phoenix with litellm to capture inputs, outputs, and internal spans, grouping them under a single trace for effective evaluation and debugging of AI systems.

Trying to instrument an agentic app with Arize Phoenix and litellm

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