Feedback and Ideas

 only returns usage stats (e.g., run counts) for agents and users. We'd like to extend this data to include:

 — credits consumed per user, and credits consumed per agent per run.

 — which LLM model each agent is configured to use, and which LLM model each user is invoking per request/run.


 Admins and teams responsible for managing and optimizing our Glean tenant's agent ecosystem and overall credit budget.

 Without per-agent credit data, we can't identify which agents are consuming disproportionate credits, making it hard to prioritize optimization efforts.

 Without visibility into per-user credit consumption and model selection, we can't help users understand their usage patterns or guide them toward more cost-effective models for their specific needs.

Together, this data would let us proactively manage credit spend across the tenant instead of reacting after the fact.


 None available — this data isn't currently exposed anywhere we can access, so we have no way to attribute credit consumption to specific agents, runs, users, or models.

Feature Request: Credit Usage & LLM Model Data in Insights API

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