OpenAI usage tracking
Track OpenAI usage like infrastructure spend.
Shared provider keys make it hard to know which team, tool, or product feature created token spend. OggyCloud gives developers managed keys while centralizing usage visibility.
oggycloud.com/dashboard
LLM tokens
21.8M
Requests
48.1k
Est. cost
$2.7k
Errors
0.8%
Cost trajectory-$3.9k found
AWS EC2Platform$6,420+8%
OpenAI APIAI Product$2,740+31%
VercelGrowth$1,960+17%
What teams use it for
Issue safer keys
Give teams OggyCloud-managed keys instead of raw provider credentials.
Attribute token spend
Track usage by model, project header, user, and managed key.
Inspect request logs
Enable prompt and response samples where policy allows it.
How it works
1
Store your OpenAI provider key
2
Create managed team keys
3
Point SDKs at the OggyCloud base URL
4
Review usage, logs, and cost
Common questions
Does this track ChatGPT Plus usage?
No. It tracks OpenAI API traffic that goes through your OggyCloud gateway.
Can prompt logging be disabled?
Yes. Prompt and response logging are opt-in per managed key.
Bring cost intelligence into one operating workflow.
Create a free workspace, connect one provider, and review cloud, SaaS, and AI usage signals together.