"use strict";
var __decorate = (this && this.__decorate) || function (decorators, target, key, desc) {
    var c = arguments.length, r = c < 3 ? target : desc === null ? desc = Object.getOwnPropertyDescriptor(target, key) : desc, d;
    if (typeof Reflect === "object" && typeof Reflect.decorate === "function") r = Reflect.decorate(decorators, target, key, desc);
    else for (var i = decorators.length - 1; i >= 0; i--) if (d = decorators[i]) r = (c < 3 ? d(r) : c > 3 ? d(target, key, r) : d(target, key)) || r;
    return c > 3 && r && Object.defineProperty(target, key, r), r;
};
var __metadata = (this && this.__metadata) || function (k, v) {
    if (typeof Reflect === "object" && typeof Reflect.metadata === "function") return Reflect.metadata(k, v);
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.AIModelDto = exports.UsageStatsDto = exports.AIConfigResponseDto = exports.UpdateAIConfigDto = void 0;
const swagger_1 = require("@nestjs/swagger");
const class_validator_1 = require("class-validator");
const entities_1 = require("../entities");
class UpdateAIConfigDto {
}
exports.UpdateAIConfigDto = UpdateAIConfigDto;
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'AI provider', enum: entities_1.AIProvider }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsEnum)(entities_1.AIProvider),
    __metadata("design:type", String)
], UpdateAIConfigDto.prototype, "provider", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Default model to use' }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsString)(),
    __metadata("design:type", String)
], UpdateAIConfigDto.prototype, "default_model", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Fallback model if default fails' }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsString)(),
    __metadata("design:type", String)
], UpdateAIConfigDto.prototype, "fallback_model", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Temperature (0-2)', default: 0.7 }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsNumber)(),
    (0, class_validator_1.Min)(0),
    (0, class_validator_1.Max)(2),
    __metadata("design:type", Number)
], UpdateAIConfigDto.prototype, "temperature", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Maximum tokens', default: 2048 }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsNumber)(),
    (0, class_validator_1.Min)(1),
    (0, class_validator_1.Max)(32000),
    __metadata("design:type", Number)
], UpdateAIConfigDto.prototype, "max_tokens", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Default system prompt' }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsString)(),
    __metadata("design:type", String)
], UpdateAIConfigDto.prototype, "system_prompt", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Enable AI features' }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsBoolean)(),
    __metadata("design:type", Boolean)
], UpdateAIConfigDto.prototype, "is_enabled", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Allow custom prompts' }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsBoolean)(),
    __metadata("design:type", Boolean)
], UpdateAIConfigDto.prototype, "allow_custom_prompts", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Log conversations' }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsBoolean)(),
    __metadata("design:type", Boolean)
], UpdateAIConfigDto.prototype, "log_conversations", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)({ description: 'Additional settings' }),
    (0, class_validator_1.IsOptional)(),
    (0, class_validator_1.IsObject)(),
    __metadata("design:type", Object)
], UpdateAIConfigDto.prototype, "settings", void 0);
class AIConfigResponseDto {
}
exports.AIConfigResponseDto = AIConfigResponseDto;
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", String)
], AIConfigResponseDto.prototype, "id", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", String)
], AIConfigResponseDto.prototype, "tenant_id", void 0);
__decorate([
    (0, swagger_1.ApiProperty)({ enum: entities_1.AIProvider }),
    __metadata("design:type", String)
], AIConfigResponseDto.prototype, "provider", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", String)
], AIConfigResponseDto.prototype, "default_model", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)(),
    __metadata("design:type", String)
], AIConfigResponseDto.prototype, "fallback_model", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], AIConfigResponseDto.prototype, "temperature", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], AIConfigResponseDto.prototype, "max_tokens", void 0);
__decorate([
    (0, swagger_1.ApiPropertyOptional)(),
    __metadata("design:type", String)
], AIConfigResponseDto.prototype, "system_prompt", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Boolean)
], AIConfigResponseDto.prototype, "is_enabled", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Boolean)
], AIConfigResponseDto.prototype, "allow_custom_prompts", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Boolean)
], AIConfigResponseDto.prototype, "log_conversations", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Date)
], AIConfigResponseDto.prototype, "created_at", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Date)
], AIConfigResponseDto.prototype, "updated_at", void 0);
class UsageStatsDto {
}
exports.UsageStatsDto = UsageStatsDto;
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], UsageStatsDto.prototype, "request_count", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], UsageStatsDto.prototype, "total_input_tokens", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], UsageStatsDto.prototype, "total_output_tokens", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], UsageStatsDto.prototype, "total_tokens", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], UsageStatsDto.prototype, "total_cost", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], UsageStatsDto.prototype, "avg_latency_ms", void 0);
class AIModelDto {
}
exports.AIModelDto = AIModelDto;
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", String)
], AIModelDto.prototype, "id", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", String)
], AIModelDto.prototype, "name", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", String)
], AIModelDto.prototype, "provider", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Number)
], AIModelDto.prototype, "context_length", void 0);
__decorate([
    (0, swagger_1.ApiProperty)(),
    __metadata("design:type", Object)
], AIModelDto.prototype, "pricing", void 0);
//# sourceMappingURL=config.dto.js.map