API Dashboard
API Calls (Today)
12,847
Avg Latency
14ms
Embedding Cost
$2.34
Hit Rate
94.7%
API Keys
| Name | Key | Created | Last Used | Status | Actions |
|---|---|---|---|---|---|
| Production | lb_sk_...a9f2xxxx |
2026-03-01 | 2 min ago | Active | |
| Staging | lb_sk_...b3c1xxxx |
2026-03-05 | 1 hour ago | Active | |
| Dev Local | lb_sk_...7e4dxxxx |
2026-02-15 | Never | Inactive |
Usage (Last 7 Days)
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SDK Quick Start
# Install package
pip install latentbase
# Basic usage
from latentbase import LatentBase client = LatentBase("your-api-key") vs = client.create_vector_set(name="my-vectors", model="text-embedding-3-large") vs.upsert([{"id": "doc_1", "text": "Hello world"}]) results = vs.search(query="hello", top_k=5)
Rate Limits
Embeddings
1,000/min
Search queries
5,000/min
Upserts
500/min
Limits reset every minute. Upgrade for higher throughput.