Semantic-cache
AI inference provider available on Antbase
OpenAI-compatible
About Semantic-cache
Semantic-cache is an AI model provider accessible through Antbase. Use intelligent routing to automatically select the best model from this provider based on your task requirements.
Live Performance Data
Semantic-cache Models on Antbase
How to Use Semantic-cache on Antbase
All Semantic-cache models are available through Antbase's unified OpenAI-compatible API. You can either route directly to a specific Semantic-cache model or let ANT's intelligent router automatically select the best model for your task.
python
from openai import OpenAI
client = OpenAI(
base_url="https://antbase.ai/v1",
api_key="your-ant-api-key",
)
# Let ANT auto-route (may use Semantic-cache if optimal)
response = client.chat.completions.create(
model="ant:auto",
messages=[{"role": "user", "content": "Hello!"}],
)Why Use Semantic-cache Through Antbase?
- •No separate account needed — access Semantic-cache models instantly through your Antbase API key.
- •Intelligent routing — ANT automatically selects the best Semantic-cache model for each task, or falls over to another provider if Semantic-cache is slow or down.
- •Same token prices — Antbase charges zero markup on Semantic-cache token prices. You pay exactly what Semantic-cache charges.
- •Automatic failover — if Semantic-cache has an outage, your requests seamlessly route to an equivalent model on another provider.