How to Use This Tool
Convert schema failures into token cost plus explicit manual handling. Calculate AI structured-output retry cost from failed attempts, tokens per retry, editable token price and review expense.
The failure Structured Retry Cost is designed to catch
Schema-constrained output can reduce parsing failures, but validation and retry policy still belong outside the model response. The boundary is the job stated in Price Invalid JSON Retries and the Human Review They Trigger; Structured Retry Cost is not intended to score or transform a different workflow.
The Structured Retry Cost input contract
The fields used for this specific operation are Failed output attempts, Tokens per retry, Price per million tokens, Human review expense. Keep the source values beside the Structured Retry Cost result, because replacing the original would remove the evidence needed to reproduce or reverse the operation.
- For Structured Retry Cost, Failed output attempts starts at
1000in the worked case; replace that example with the matching source value. - For Structured Retry Cost, Tokens per retry starts at
3000in the worked case; replace that example with the matching source value. - For Structured Retry Cost, Price per million tokens starts at
5in the worked case; replace that example with the matching source value. - For Structured Retry Cost, Human review expense starts at
100in the worked case; replace that example with the matching source value.
Worked result for Structured Retry Cost
The executable case called Default decision scenario expects out: $115.00. Verify that observation before entering real material, and then change one Structured Retry Cost field at a time so an unexpected direction or formatting change can be traced to a specific input.
Reading the Structured Retry Cost output
It combines failed output attempts, tokens per retry, price per million tokens and human review expense into one decision result using the formula explained on the page. Apply that answer only when Failed output attempts, Tokens per retry, Price per million tokens, Human review expense 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 Structured Retry Cost output is not sufficient validation.
Assumptions attached to Structured Retry Cost
- Structured Retry Cost assumes that all inputs describe the same unit or reporting period unless the field explicitly says otherwise.
- Structured Retry Cost assumes that the model includes only the four visible inputs and does not infer hidden platform charges.
- Structured Retry Cost 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 Structured Retry Cost 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 Structured Retry Cost
The recorded reference is JSON Schema — official documentation. Reopen that source when the definition, format, fee or policy behind Structured Retry Cost changes; private configuration and downstream acceptance still have to be checked in the user's own system.
Where Structured Retry Cost runs
The named operation executes in browser JavaScript without an ecech calculation API. For Structured Retry Cost, 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.
Sources & assumptions
Tool Spec v2 · verified 2026-08-19. Platform rules and fees can change; the editable inputs remain authoritative for your account.
Official references
- JSON Schema — official documentation (checked 2026-08-19)
Model assumptions
- All inputs describe the same unit or reporting period unless the field explicitly says otherwise.
- The model includes only the four visible inputs and does not infer hidden platform charges.
- The page never calls an AI model; token ratios, prices, limits and observed rates are user-supplied planning assumptions.
