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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 | 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x 4x | import { sql } from "drizzle-orm";
import { pgTable, text, varchar, integer, boolean, timestamp, jsonb } from "drizzle-orm/pg-core";
import { createInsertSchema } from "drizzle-zod";
import { z } from "zod";
import { users } from "./auth";
// Use case categories (from screenshots)
export const useCaseCategories = [
"Strategic Analysis",
"Writing",
"Visual Design",
"Code",
"Automation",
"Audio/Video",
"Research",
"Other",
] as const;
export type UseCaseCategory = (typeof useCaseCategories)[number];
// AI Models - master list of available models
export const aiModels = pgTable("ai_models", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
name: text("name").notNull(),
shortName: text("short_name"), // Short abbreviation for avatar (e.g., "C4" for Claude 4.5 Sonnet)
provider: text("provider").notNull(), // anthropic, openai, google, etc.
modelId: text("model_id").notNull(), // e.g., claude-3-opus, gpt-4, gemini-pro
description: text("description"),
capabilities: jsonb("capabilities").$type<string[]>(), // e.g., ["text", "code", "vision"]
isFavorite: boolean("is_favorite").notNull().default(false), // Featured/starred model
isActive: boolean("is_active").notNull().default(true),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertAiModelSchema = createInsertSchema(aiModels).omit({
id: true,
createdAt: true,
});
export type InsertAiModel = z.infer<typeof insertAiModelSchema>;
export type AiModel = typeof aiModels.$inferSelect;
// AI Tools - external tools/platforms (Cursor, v0, etc.)
export const aiTools = pgTable("ai_tools", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
name: text("name").notNull(),
shortName: text("short_name"), // Short abbreviation for avatar (e.g., "CU" for Cursor)
provider: text("provider").notNull(),
description: text("description"),
url: text("url"),
category: text("category"), // IDE, Code Gen, Design, etc.
isActive: boolean("is_active").notNull().default(true),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertAiToolSchema = createInsertSchema(aiTools).omit({
id: true,
createdAt: true,
});
export type InsertAiTool = z.infer<typeof insertAiToolSchema>;
export type AiTool = typeof aiTools.$inferSelect;
// User's personal model list - models they're tracking
export const userModels = pgTable("user_models", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
modelId: varchar("model_id").notNull().references(() => aiModels.id),
notes: text("notes"),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertUserModelSchema = createInsertSchema(userModels).omit({
id: true,
createdAt: true,
});
export type InsertUserModel = z.infer<typeof insertUserModelSchema>;
export type UserModel = typeof userModels.$inferSelect;
// User's personal tool list - tools they're tracking
export const userTools = pgTable("user_tools", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
toolId: varchar("tool_id").notNull().references(() => aiTools.id),
notes: text("notes"),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertUserToolSchema = createInsertSchema(userTools).omit({
id: true,
createdAt: true,
});
export type InsertUserTool = z.infer<typeof insertUserToolSchema>;
export type UserTool = typeof userTools.$inferSelect;
// Use Cases - curated and community prompts for testing
export const useCases = pgTable("use_cases", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
title: text("title").notNull(),
description: text("description").notNull(),
category: text("category").notNull(),
promptTemplate: text("prompt_template").notNull(),
variables: jsonb("variables").$type<string[]>(), // placeholders in prompt like [PASTE_EMAIL_THREAD]
isCurated: boolean("is_curated").notNull().default(false), // AIDB starter vs community
authorId: varchar("author_id").references(() => users.id), // null for curated
isPublic: boolean("is_public").notNull().default(true),
createdAt: timestamp("created_at").defaultNow().notNull(),
updatedAt: timestamp("updated_at").defaultNow().notNull(),
});
export const insertUseCaseSchema = createInsertSchema(useCases)
.omit({
id: true,
createdAt: true,
updatedAt: true,
})
.extend({
category: z.enum(useCaseCategories),
});
export type InsertUseCase = z.infer<typeof insertUseCaseSchema>;
export type UseCase = typeof useCases.$inferSelect;
// User's saved use cases (favorites/bookmarks)
export const userUseCases = pgTable("user_use_cases", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
useCaseId: varchar("use_case_id").notNull().references(() => useCases.id),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertUserUseCaseSchema = createInsertSchema(userUseCases).omit({
id: true,
createdAt: true,
});
export type InsertUserUseCase = z.infer<typeof insertUserUseCaseSchema>;
export type UserUseCase = typeof userUseCases.$inferSelect;
// Model Tests - run a use case against specific models
export const modelTests = pgTable("model_tests", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
useCaseId: varchar("use_case_id").references(() => useCases.id),
title: text("title").notNull(),
prompt: text("prompt").notNull(),
systemPrompt: text("system_prompt"),
status: text("status").notNull().default("pending"), // pending, running, completed
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertModelTestSchema = createInsertSchema(modelTests).omit({
id: true,
userId: true,
createdAt: true,
});
export type InsertModelTest = z.infer<typeof insertModelTestSchema>;
export type ModelTest = typeof modelTests.$inferSelect;
// Speed rating options
export const speedRatings = ["slow", "medium", "fast"] as const;
export type SpeedRating = (typeof speedRatings)[number];
// Model Test Results - results from each model
export const modelTestResults = pgTable("model_test_results", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
testId: varchar("test_id").notNull().references(() => modelTests.id),
modelId: varchar("model_id").notNull().references(() => aiModels.id),
// Tool ID for when testing tools instead of models
toolId: varchar("tool_id").references(() => aiTools.id),
output: text("output"),
promptTokens: integer("prompt_tokens"),
completionTokens: integer("completion_tokens"),
totalTokens: integer("total_tokens"),
latencyMs: integer("latency_ms"),
estimatedCost: text("estimated_cost"),
status: text("status").notNull().default("pending"), // pending, running, success, error
errorMessage: text("error_message"),
// Enhanced rating fields
userRating: integer("user_rating"), // 1-5 stars (overall)
accuracyRating: integer("accuracy_rating"), // 1-5 stars
styleRating: integer("style_rating"), // 1-5 stars
speedRating: text("speed_rating"), // slow, medium, fast
xFactor: integer("x_factor"), // 1-3 sparkles
userNotes: text("user_notes"),
createdAt: timestamp("created_at").defaultNow().notNull(),
});
export const insertModelTestResultSchema = createInsertSchema(modelTestResults).omit({
id: true,
createdAt: true,
});
export type InsertModelTestResult = z.infer<typeof insertModelTestResultSchema>;
export type ModelTestResult = typeof modelTestResults.$inferSelect;
// Model Recommendations - user's personalized recommendations per use case
export const modelRecommendations = pgTable("model_recommendations", {
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
userId: varchar("user_id").notNull().references(() => users.id),
category: text("category").notNull(),
recommendedModelId: varchar("recommended_model_id").notNull().references(() => aiModels.id),
avgRating: integer("avg_rating"),
totalTests: integer("total_tests").notNull().default(0),
notes: text("notes"),
updatedAt: timestamp("updated_at").defaultNow().notNull(),
});
export const insertModelRecommendationSchema = createInsertSchema(modelRecommendations).omit({
id: true,
updatedAt: true,
});
export type InsertModelRecommendation = z.infer<typeof insertModelRecommendationSchema>;
export type ModelRecommendation = typeof modelRecommendations.$inferSelect;
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