langfuse Context Optimization Prompt

Prompt operations and token-cost audit

• You need an agent to inspect an LLM application's traces, prompt versions, usage, costs, scores, and eval flow before recommending context reductions.
• You are adding prompt operations or observability to an AI product and want a source-grounded audit checklist.
• You want to connect token optimization recommendations to real runtime evidence instead of abstract prompt-shortening advice.

• You only need a generic prompt compression checklist without trace, score, or evaluation data.
• You are reviewing a non-LLM product with no prompt versions, model calls, usage metrics, or eval signals.
• You want to publish production prompt rows directly without maintainer review.