01
structural analysis
Message roles, system instructions, document fragments, and conversation history are treated as separate contexts.
AETHER · How Does It Work?
Preserve the meaning of the context.Don't carry unnecessary token burden.
Aether Compress analyzes the input to be sent to the model before the request; it produces a smaller context by reducing repetitions, low-value parts, and unnecessary details.
01
Input reaches the secure API layer
02
Context is optimized according to the query
03
The result is sent to the LLM of your choice
Optimization Architecture
An intrusive layer without rewriting your application.
Aether operates independently of the provider. While your existing prompt generation and model preference are preserved, only the input reaching the LLM becomes more efficient.
02
Query driven selection
Information related to the user's current request is preserved, and low-contribution content is reduced.
03
Meaning protection
Optimization is not just character shortening; The hierarchy of information and instructions required by the task is maintained.
04
measurable output
The number of input and output tokens and the savings rate can be observed for each request.
Application Flow
01
Send context
Deliver your messages or long text to Compress API.
02
Select policy
Determine the level of optimization that suits your goal of quality, balance, or maximum savings.
03
Make the model call
Send the returned optimized context to the model provider you are using.
Smaller context. More controlled AI cost.
Contact our team to add Aether Compress to your current LLM workflow.