autocrm

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Author	SHA1	Message	Date
Vasyka	0e3f9e8bca	feat: AI model selector + i18n nav labels (RU/EN) on new modules AI model selector: - AiAssistantService::MODEL_DEFAULTS and MODEL_OPTIONS const tables (3 picks per provider: Claude Opus 4.7 / Sonnet 4.6 / Haiku 4.5, OpenAI 4o / 4o-mini, Gemini 1.5 Pro / Flash). Default upgraded from Sonnet 4.5 → Sonnet 4.6. - modelFor(provider, company?) resolves tenant override > global default. - All 8 hardcoded model strings replaced with modelFor() across callClaude (chat with tool-use), callOpenAI, callGemini (chat), postClaude/postOpenAI/ postGemini (single-shot), and OcrInvoiceService. - Settings page adds 3 model selectors per provider with persistence at settings.ai.models.{claude,gpt,gemini}. i18n nav labels: - TireSet / Bodyshop / Subcontractor / SubcontractJob / PricingCoefficient / ShopCustomer resources: getNavigationLabel / getNavigationGroup / getModelLabel / getPluralModelLabel return __()-wrapped strings. - 20 keys added to lang/ru.json and lang/en.json. Tests (4 new): default model, tenant override wins, unknown provider falls back to claude default, options dictionary contains each default key. Full suite: 134 passed. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-06-03 06:23:21 +00:00
Vasyka	c90c35d930	Stage 8 — Smart Pricing Engine: contextual coefficients Contextual multipliers layered on top of base MarkupRule pricing, applied per work-order line based on vehicle, client and urgency. Schema: - pricing_coefficients (multiplier, conditions JSON, priority, stackable) - vehicles.vehicle_class (sedan/suv/commercial/hybrid/ev/premium) - clients.is_vip - work_orders.urgency (normal/urgent/express) PricingEngine::quote(Part, Vehicle?, Client?, urgency): - base = MarkupRule on buy_price (fallback sell_price or buy×1.30) - context: class (explicit or inferred hybrid/ev from fuel), age, vip, urgency - stackable coefficients all multiply; non-stackable take only the highest - returns {base, final, applied[]} breakdown PricingCoefficient::matches(ctx) — classes/age range/vip/urgency conditions (empty = always applies). Filament: - PricingCoefficientResource with condition builder (classes, age, vip, urgency) - vehicle_class select, client is_vip toggle, WO urgency select - "Preț inteligent" action on WO parts shows breakdown + applies sell_price Tests (6 new): - base-only without coefficients; age coefficient gating; VIP; express urgency; stackable multiply vs non-stackable highest-wins; hybrid inferred from fuel Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-05-28 05:40:27 +00:00

Author

SHA1

Message

Date

Vasyka

0e3f9e8bca

feat: AI model selector + i18n nav labels (RU/EN) on new modules

AI model selector:
- AiAssistantService::MODEL_DEFAULTS and MODEL_OPTIONS const tables (3 picks per
  provider: Claude Opus 4.7 / Sonnet 4.6 / Haiku 4.5, OpenAI 4o / 4o-mini,
  Gemini 1.5 Pro / Flash). Default upgraded from Sonnet 4.5 → Sonnet 4.6.
- modelFor(provider, company?) resolves tenant override > global default.
- All 8 hardcoded model strings replaced with modelFor() across callClaude
  (chat with tool-use), callOpenAI, callGemini (chat), postClaude/postOpenAI/
  postGemini (single-shot), and OcrInvoiceService.
- Settings page adds 3 model selectors per provider with persistence at
  settings.ai.models.{claude,gpt,gemini}.

i18n nav labels:
- TireSet / Bodyshop / Subcontractor / SubcontractJob / PricingCoefficient /
  ShopCustomer resources: getNavigationLabel / getNavigationGroup /
  getModelLabel / getPluralModelLabel return __()-wrapped strings.
- 20 keys added to lang/ru.json and lang/en.json.

Tests (4 new): default model, tenant override wins, unknown provider falls
back to claude default, options dictionary contains each default key.

Full suite: 134 passed.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-06-03 06:23:21 +00:00

Vasyka

c90c35d930

Stage 8 — Smart Pricing Engine: contextual coefficients

Contextual multipliers layered on top of base MarkupRule pricing, applied
per work-order line based on vehicle, client and urgency.

Schema:
- pricing_coefficients (multiplier, conditions JSON, priority, stackable)
- vehicles.vehicle_class (sedan/suv/commercial/hybrid/ev/premium)
- clients.is_vip
- work_orders.urgency (normal/urgent/express)

PricingEngine::quote(Part, Vehicle?, Client?, urgency):
- base = MarkupRule on buy_price (fallback sell_price or buy×1.30)
- context: class (explicit or inferred hybrid/ev from fuel), age, vip, urgency
- stackable coefficients all multiply; non-stackable take only the highest
- returns {base, final, applied[]} breakdown

PricingCoefficient::matches(ctx) — classes/age range/vip/urgency conditions
(empty = always applies).

Filament:
- PricingCoefficientResource with condition builder (classes, age, vip, urgency)
- vehicle_class select, client is_vip toggle, WO urgency select
- "Preț inteligent" action on WO parts shows breakdown + applies sell_price

Tests (6 new):
- base-only without coefficients; age coefficient gating; VIP; express urgency;
  stackable multiply vs non-stackable highest-wins; hybrid inferred from fuel

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2026-05-28 05:40:27 +00:00

2 Commits