Estimate How Many Examples Fit After Instructions and Output Reserve

How to Use This Tool

Turn example size into a context tradeoff instead of adding demonstrations until a request fails. Calculate how many AI few-shot examples fit inside an editable context budget after base prompt and output reserve.

The failure Few-Shot Capacity is designed to catch

More examples are not free: every demonstration reduces the space available for source material and the final response. The boundary is the job stated in Estimate How Many Examples Fit After Instructions and Output Reserve; Few-Shot Capacity is not intended to score or transform a different workflow.

The Few-Shot Capacity input contract

The fields used for this specific operation are Available context tokens, Base instructions tokens, Output reserve tokens, Tokens per example. Keep the source values beside the Few-Shot Capacity result, because replacing the original would remove the evidence needed to reproduce or reverse the operation.

• For Few-Shot Capacity, Available context tokens starts at 16000 in the worked case; replace that example with the matching source value.
• For Few-Shot Capacity, Base instructions tokens starts at 2000 in the worked case; replace that example with the matching source value.
• For Few-Shot Capacity, Output reserve tokens starts at 3000 in the worked case; replace that example with the matching source value.
• For Few-Shot Capacity, Tokens per example starts at 500 in the worked case; replace that example with the matching source value.

Worked result for Few-Shot Capacity

The executable case called Default decision scenario expects out: 22.0. Verify that observation before entering real material, and then change one Few-Shot Capacity field at a time so an unexpected direction or formatting change can be traced to a specific input.

Reading the Few-Shot Capacity output

It combines available context tokens, base instructions tokens, output reserve tokens and tokens per example into one decision result using the formula explained on the page. Apply that answer only when Available context tokens, Base instructions tokens, Output reserve tokens, Tokens per example describe the same scope and format as the worked operation. If the source uses different units, quoting, nesting, timing or account rules, a plausible-looking Few-Shot Capacity output is not sufficient validation.

Assumptions attached to Few-Shot Capacity

• Few-Shot Capacity assumes that all inputs describe the same unit or reporting period unless the field explicitly says otherwise.
• Few-Shot Capacity assumes that the model includes only the four visible inputs and does not infer hidden platform charges.
• Few-Shot Capacity assumes that the page never calls an AI model; token ratios, prices, limits and observed rates are user-supplied planning assumptions.

If one of these Few-Shot Capacity assumptions is false, keep the result as a diagnostic rather than production or decision data, and choose an implementation that explicitly supports the missing rule.

Evidence maintained for Few-Shot Capacity

The recorded reference is NIST — AI Risk Management Framework. Reopen that source when the definition, format, fee or policy behind Few-Shot Capacity changes; private configuration and downstream acceptance still have to be checked in the user's own system.

Where Few-Shot Capacity runs

The named operation executes in browser JavaScript without an ecech calculation API. For Few-Shot Capacity, local execution reduces transmission but does not control browser extensions, device security or the destination where the result is pasted, so sensitive inputs still require the user's normal handling rules.