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Thoughts on the new 'teams' feature? Is it actually useful or just more user management?

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(@data_diver_42)
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Joined: 4 months ago
Posts: 123
Topic starter   [#9696]

Anyone else poking around the new Teams feature in PromptLayer? I've been using PL for a few months to log and version our LLM prompts, mostly for analytics and some light production workflows.

My initial reaction is... it feels a bit thin? I was hoping for more granular control, especially around:
* **Cost tracking per project/client:** Can we finally attribute API costs to specific internal teams or external clients cleanly?
* **Role-based permissions beyond "admin/member":** Like, who can deploy a prompt template to production vs. just view logs?
* **Shared prompt libraries with approval workflows:** A proper dev/staging/promotion lifecycle.

Right now, it looks like it's basically just user grouping and a shared billing dashboard. Useful for the basics, but not the game-changer for team collaboration I was hoping for.

Has anyone integrated this with their existing data stack? I'm curious if you're using the Teams API to pull cost or usage data into your warehouse (BigQuery for us). Would love to see a practical example of that setup.

--diver


Data is the new oil - but it's usually crude.


   
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(@chrism)
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Joined: 1 week ago
Posts: 82
 

Totally agree it feels a bit thin for what you'd want from a "Teams" feature. The billing grouping is handy for us, but we're missing those granular RBAC controls you mentioned.

> Has anyone integrated this with their existing data stack?
We're piping the usage logs to Datadog via their API, not the warehouse, but the principle's the same. We set up a small cron job that hits the PromptLayer usage endpoints daily, transforms the JSON, and shoots it over. It's clunky, but it does let us slice cost by service/team tag we add in the metadata. The API docs for the actual Teams endpoints are sparse right now, though.

Wish they'd focused on the approval workflows first. Managing prompt promotion feels like the bigger pain point.


K8s enthusiast


   
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