AETHER · Integrations

Protect your model provider.Develop the context layer.

Aether sits between the point where your application generates prompts and the LLM call. It works without changing your provider, framework, or orchestration preference.

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Compatible Streams

At the common point of modern AI architectures.

Thanks to standard HTTP support, you can call Aether from your own backend, agent layer, or retrieval pipeline.

LLM providers

Pre-optimize context used with OpenAI compatible edges and other model providers.

RAG pipelines

Reduce the document parts returned as a result of the retrieve according to the query before the model call.

Agent systems

Prevent tool outputs and task history from growing uncontrolled in multi-step processes.

Custom backends

Connect with Node.js, Python, Go, Java, or any service that can make HTTP calls.

Application Flow

Determine integration point

Capture the final context that occurs just before the model call.

Direct to Aether

Send the context, query and optimization policy to the API.

Maintain current flow

Pass the optimized input to the model you are currently using.

Smaller context. More controlled AI cost.

Contact our team to add Aether Compress to your current LLM workflow.