Architecture
An orchestration pipeline that sits between your application and the language model, ensuring every token counts.
Incoming request enters the orchestration pipeline for intelligent processing.
Request is analyzed to determine intent, complexity, and required context depth.
Relevant conversation history and knowledge are retrieved with precision scoring.
Retrieved fragments are composed into a coherent, optimized context window.
Context is compressed and allocated within precise token constraints.
The language model receives a perfectly curated context and generates a response.
Post-response analysis feeds back into memory, improving future orchestrations.
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