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Observability & Analytics

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LLM Observability

LLM Observability

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Tracking the model layer of AI applications: prompts, completions, token usage, latency, errors, and quality scores for every model call.

Tracking the model layer of AI applications: prompts, completions, token usage, latency, errors, and quality scores for every model call.

Why it matters

The model is a black box; observability instruments its inputs and outputs. It’s how teams trace a bad answer back to the exact prompt and context that caused it.

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