LLM token management
One operating layer for AI token spend.
Modern teams use multiple model providers. OggyCloud gives them one place to route, monitor, and govern API-based LLM usage.
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
Centralize providers
Route OpenAI-compatible providers through a consistent internal gateway.
Control budgets
Set key-level limits and revoke access without rotating provider secrets.
Compare models
Track cost, tokens, latency, errors, and usage trends across providers.
How it works
1
Save provider credentials
2
Create managed keys for teams
3
Route API traffic through OggyCloud
4
Review token and cost trends
Common questions
Can this work with custom endpoints?
Yes. Custom OpenAI-compatible endpoints can be configured with a base URL.
Is this a replacement for model providers?
No. It is an observability and governance layer above provider APIs.
Bring cost intelligence into one operating workflow.
Create a free workspace, connect one provider, and review cloud, SaaS, and AI usage signals together.