See What Remains After System Prompt, History and Retrieved Context

How to Use This Tool

Allocate a context window explicitly before a long conversation truncates useful information. Calculate remaining AI context tokens after system instructions, conversation history and retrieved documents.

The failure AI Context Budget is designed to catch

A model's advertised context is shared by every input component and the output, not a separate allowance for each one. The boundary is the job stated in See What Remains After System Prompt, History and Retrieved Context; AI Context Budget is not intended to score or transform a different workflow.

The AI Context Budget input contract

The fields used for this specific operation are Editable context limit, System prompt tokens, Conversation history tokens, Retrieved context tokens. Keep the source values beside the AI Context Budget result, because replacing the original would remove the evidence needed to reproduce or reverse the operation.

• For AI Context Budget, Editable context limit starts at 128000 in the worked case; replace that example with the matching source value.
• For AI Context Budget, System prompt tokens starts at 2000 in the worked case; replace that example with the matching source value.
• For AI Context Budget, Conversation history tokens starts at 30000 in the worked case; replace that example with the matching source value.
• For AI Context Budget, Retrieved context tokens starts at 60000 in the worked case; replace that example with the matching source value.

Worked result for AI Context Budget

The executable case called Default decision scenario expects out: 36,000.0. Verify that observation before entering real material, and then change one AI Context Budget field at a time so an unexpected direction or formatting change can be traced to a specific input.

Reading the AI Context Budget output

It combines editable context limit, system prompt tokens, conversation history tokens and retrieved context tokens into one decision result using the formula explained on the page. Apply that answer only when Editable context limit, System prompt tokens, Conversation history tokens, Retrieved context tokens 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 AI Context Budget output is not sufficient validation.

Assumptions attached to AI Context Budget

• AI Context Budget assumes that all inputs describe the same unit or reporting period unless the field explicitly says otherwise.
• AI Context Budget assumes that the model includes only the four visible inputs and does not infer hidden platform charges.
• AI Context Budget 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 AI Context Budget 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 AI Context Budget

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

Where AI Context Budget runs

The named operation executes in browser JavaScript without an ecech calculation API. For AI Context Budget, 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.