Core Features: - Multi-provider support (OpenAI, Anthropic, DeepSeek, Gemini, Mistral) - Provider service architecture with abstract base class - Dynamic model discovery from provider APIs - Encrypted per-user provider credentials storage Admin Interface: - Complete admin panel with Livewire components - User management with CRUD operations - API key management with testing capabilities - Budget system with limits and reset schedules - Usage logs with filtering and CSV export - Model pricing management with cost calculator - Dashboard with Chart.js visualizations Database Schema: - MariaDB migrations for all tables - User provider credentials (encrypted) - LLM request logging - Budget tracking and rate limiting - Model pricing configuration API Implementation: - OpenAI-compatible endpoints - Budget checking middleware - Rate limit enforcement - Request logging jobs - Cost calculation service Testing: - Unit tests for all provider services - Provider factory tests - Cost calculator tests Documentation: - Admin user seeder - Model pricing seeder - Configuration files
59 lines
2.0 KiB
PHP
59 lines
2.0 KiB
PHP
<?php
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namespace App\Http\Requests;
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use Illuminate\Foundation\Http\FormRequest;
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use App\Services\LLM\ProviderFactory;
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class ChatCompletionRequest extends FormRequest
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{
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/**
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* Determine if the user is authorized to make this request.
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*/
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public function authorize(): bool
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{
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return true; // Authorization handled by auth middleware
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}
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/**
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* Get the validation rules that apply to the request.
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*/
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public function rules(): array
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{
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return [
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'provider' => ['required', 'string', function ($attribute, $value, $fail) {
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if (!ProviderFactory::isSupported($value)) {
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$fail("The {$attribute} must be one of: " . implode(', ', ProviderFactory::getSupportedProviders()));
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}
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}],
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'model' => 'required|string|max:100',
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'messages' => 'required|array|min:1',
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'messages.*.role' => 'required|string|in:system,user,assistant',
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'messages.*.content' => 'required|string',
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// Optional parameters
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'temperature' => 'sometimes|numeric|min:0|max:2',
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'max_tokens' => 'sometimes|integer|min:1|max:100000',
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'top_p' => 'sometimes|numeric|min:0|max:1',
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'frequency_penalty' => 'sometimes|numeric|min:-2|max:2',
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'presence_penalty' => 'sometimes|numeric|min:-2|max:2',
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'stop' => 'sometimes|array',
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];
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}
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/**
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* Get custom messages for validator errors.
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*/
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public function messages(): array
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{
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return [
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'provider.required' => 'Provider is required (e.g., openai, anthropic)',
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'model.required' => 'Model is required (e.g., gpt-4o-mini, claude-sonnet-4)',
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'messages.required' => 'Messages array is required',
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'messages.*.role.in' => 'Message role must be system, user, or assistant',
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'temperature.between' => 'Temperature must be between 0 and 2',
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'max_tokens.min' => 'Max tokens must be at least 1',
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];
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}
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}
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