112 lines
4.5 KiB
PHP
112 lines
4.5 KiB
PHP
<?php
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return [
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/*
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|--------------------------------------------------------------------------
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| Model
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|--------------------------------------------------------------------------
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| The Gemini model used to generate automation-rule suggestions. Kept in
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| config (env-overridable) so the model can be swapped without a deploy.
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| Any Flash-tier model is appropriate for this constrained task.
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*/
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'model' => env('AI_SUGGESTIONS_MODEL', 'gemini-flash-latest'),
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/*
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|--------------------------------------------------------------------------
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| Aggregation thresholds
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|--------------------------------------------------------------------------
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| "min_group_count" is the minimum number of transactions a group must
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| contain before it is worth suggesting a rule for (filters one-offs); a
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| single-transaction match is never worth a rule.
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| "max_groups_sent" caps how many groups are sent to the model per run,
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| keeping the payload — and the cost — bounded.
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| "group_batch_size" splits those groups into smaller per-request batches:
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| a large single payload makes the model under-enumerate (it silently skips
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| groups), so we send reliable-size chunks and merge the suggestions.
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*/
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'min_group_count' => (int) env('AI_SUGGESTIONS_MIN_GROUP_COUNT', 2),
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'max_groups_sent' => (int) env('AI_SUGGESTIONS_MAX_GROUPS', 500),
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'group_batch_size' => (int) env('AI_SUGGESTIONS_GROUP_BATCH_SIZE', 50),
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/*
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| "noise_token_fraction" makes description grouping language-agnostic: a word
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| appearing in more than this fraction of the user's uncategorized
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| transactions is treated as structural noise ("pago", "carte", "zahlung", a
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| city, …) and dropped from the grouping key, so variants of the same
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| merchant collapse into one group regardless of language. If every word in a
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| description is common, the full set is kept as a fallback.
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*/
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'noise_token_fraction' => (float) env('AI_SUGGESTIONS_NOISE_FRACTION', 0.02),
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/*
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|--------------------------------------------------------------------------
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| Quality guards
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|--------------------------------------------------------------------------
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| "confidence_floor" drops suggestions the model is not confident about.
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| "overbroad_fraction" rejects a match token that would match more than
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| this fraction of the user's uncategorized transactions (a token so
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| broad it would mis-categorise en masse).
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| "confidence_floor" is the minimum confidence for a suggestion to be SHOWN
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| at all. "auto_select_confidence" is the higher bar at or above which a
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| shown suggestion is pre-selected for the user; suggestions between the two
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| are shown but left unchecked so the user opts in deliberately.
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*/
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'confidence_floor' => (float) env('AI_SUGGESTIONS_CONFIDENCE_FLOOR', 0.3),
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'auto_select_confidence' => (float) env('AI_SUGGESTIONS_AUTO_SELECT', 0.6),
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'overbroad_fraction' => (float) env('AI_SUGGESTIONS_OVERBROAD_FRACTION', 0.4),
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/*
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| "min_match_count" hides a suggestion card unless the rule it represents
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| would match at least this many of the user's uncategorized transactions.
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| Unlike "min_group_count" (which filters raw groups before the model runs),
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| this is applied to the final OR-rule's real match count at display time, so
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| low-impact rules are never shown. Set to 1 to keep every suggestion visible.
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*/
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'min_match_count' => (int) env('AI_SUGGESTIONS_MIN_MATCH_COUNT', 10),
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/*
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|--------------------------------------------------------------------------
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| Eligibility & throttle
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|--------------------------------------------------------------------------
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| A run only happens when the user has at least "eligibility_min_transactions"
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| transactions. "throttle_days" is the minimum spacing between successful
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| runs (a fresh run before this window is blocked to avoid extra cost).
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*/
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'eligibility_min_transactions' => (int) env('AI_SUGGESTIONS_MIN_TRANSACTIONS', 50),
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'throttle_days' => (int) env('AI_SUGGESTIONS_THROTTLE_DAYS', 30),
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/*
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|--------------------------------------------------------------------------
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| Consent version
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|--------------------------------------------------------------------------
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| The current version of the AI consent copy. Bumping this invalidates
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| prior consents so users are re-prompted when the terms change.
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*/
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'consent_version' => (string) env('AI_SUGGESTIONS_CONSENT_VERSION', '1'),
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];
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