Add token accounting

You cannot manage what the loop does not measure.

First time here? Paste the Context Pack first so the AI understands your project - open it from the header above.

Prompt Capsule

Instrument the agent loop with context accounting. Requirements: before every model call, compute the token count of the assembled context (system prompt + history + reminders) using the model's tokenizer or a reliable estimator; log it per turn with a breakdown (system, history, tool results, reminders); expose current usage as a fraction of the model's window; add a warning log at 60% and a trigger event at the compaction threshold (default 75%, configurable). Verify by running a file-heavy session and watching the per-turn accounting climb in the logs.

Paste into EmergentFull Build: complete implementation prompt with explicit requirements

Quick is short. Full Build is recommended for most steps. Strict forces real logic when the AI keeps faking output.

Actual change check

Expected after this step

Per-turn context accounting with threshold events.

Should NOT happen

An existing feature broke
A button only logs to console
Data disappears after refresh
Errors fail silently with no visible state

This is what should exist before you continue. If reality does not match, do not move on.

Your notes for this step

Track what changed, failed, or needs follow-up. Notes export with the flow.

Pass the Verify Gate to complete this step

Verify before continuing

Do not move on until every check is true. The complete button stays locked until then.

Count computed before every callBreakdown by section loggedThreshold event fires at the configured fraction

Do not continue if…

! Compacting everything including the task itself, leaving an agent with amnesia
! Triggering at 100% so compaction itself fails for lack of room
! Freeform prose summaries that drop file paths, decisions, and constraints
! Summarizing tool results the agent still needs at full fidelity

If the AI messes this up

Use this when:

- it only made visual forms or placeholder UI
- buttons do nothing or only log to console
- data is not persisted - state disappears on refresh
- something that worked before is now broken

Use this when the AI fakes progress or breaks the feature. It forces a real fix.

Counts are wildly off from API-reported usage. Switch to the provider's tokenizer for your model (or calibrate your estimator against API usage fields across 10 real calls) before trusting the trigger.