Reduce LLM inference costs at system level
Reduce LLM cost through routing, context control, quantization, caching, specialization and deterministic rematerialization.
The largest saving does not always come from a faster model; it can come from avoiding a call or moving a responsibility.
Optimizing token price without measuring quality, retries and failures merely moves the cost elsewhere.
The relevant cost is the cost of a correct and admissible decision from the complete realization.
What the architecture must make explicit
Cost is reduced at realization level: avoiding calls, shortening context, quantizing, routing or rematerializing a responsibility can matter more than isolated model optimization.
Move from a keyword to an inspectable engineering decision
Profile
Measure actual system costs, including retries, transfers, memory and verification.
Attribute
Determine which responsibilities still require a powerful model.
Transform
Test reduction, quantization, specialization, caching, routing or substitution.
Compare
Keep the same capability contract and publish exact hardware conditions.
A claim is only as strong as its binding
The gate must evaluate the exact output produced by the exact realization. Integrity, scientific validity and authority are related, but never interchangeable.
Questions that change the design
What does reduce llm inference costs at system level require?
The largest saving does not always come from a faster model; it can come from avoiding a call or moving a responsibility. Cost is reduced at realization level: avoiding calls, shortening context, quantizing, routing or rematerializing a responsibility can matter more than isolated model optimization.
Which evidence should be retained?
At minimum: exact realization identity, inputs and outputs, protocol version, measurements, failure cases and the decision rule. The relevant cost is the cost of a correct and admissible decision from the complete realization.
Does AMF prescribe a particular model?
No. AMF treats the model, runtime, data, tools and deterministic components as candidate materials. Their retention depends on measured contribution and declared constraints.