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AI agent observability: balancing full logs vs. privacy and cost

The question of how to best log AI agent interactions for observability is being debated. Options include logging full prompts and completions, which aids in debugging but raises privacy concerns and storage costs due to PII. Alternatively, redacting sensitive information and storing hashes with token counts offers a more privacy-preserving approach, though it may complicate incident debugging. The discussion centers on finding the optimal balance between debuggability, privacy, and cost. AI

IMPACT Raises critical questions for AI developers regarding data logging, privacy, and cost management in production systems.

RANK_REASON Discussion on best practices for AI agent observability.

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AI agent observability: balancing full logs vs. privacy and cost

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  1. Mastodon — mastodon.social TIER_1 English(EN) · piecioshka ·

    For agent observability: do you log full prompts/completions, or redact and store hashes + token counts? Full logs debug incidents fast but become a PII liabili

    For agent observability: do you log full prompts/completions, or redact and store hashes + token counts? Full logs debug incidents fast but become a PII liability and a storage bill. Where's your line — and what do you wish you'd logged from day one? # AI # Observability # LLMOps