Add admin views for quick replies, settings, and ticket details
- Created `quick-replies.blade.php` for managing quick replies. - Added `settings.blade.php` for admin settings management. - Implemented `ticket-show.blade.php` to display ticket details. - Introduced `timeline-card.blade.php` component for displaying timeline information. Enhance quick reply management functionality - Developed `quick-reply-manager.blade.php` for creating and editing quick replies. - Integrated Livewire for dynamic interaction and validation. Implement settings page for AI configuration - Created `settings-page.blade.php` for managing AI settings, including prompts and provider instances. - Added functionality for managing models and embeddings. Add ticket show functionality with real-time updates - Implemented ticket details view with processing status and tool call logs. - Added support for displaying article suggestions and error messages. Create unit tests for AI classifier and domain info tool - Added `AIClassifierServiceTest.php` to validate AI classifier functionality. - Implemented `DomainInfoToolTest.php` for domain parameter validation. - Created `OxxaClientTest.php` to test API interactions and password hashing.
This commit is contained in:
SitiWeb
@@ -4,80 +4,111 @@ namespace App\Services;
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use App\DTOs\ArticleCandidateDTO;
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use App\DTOs\ClassificationResultDTO;
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use App\Exceptions\OllamaUnavailableException;
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use Illuminate\Support\Facades\Http;
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use Throwable;
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use App\Services\Llm\LlmClientInterface;
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class AIClassifierService
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{
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public function __construct(
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private readonly LlmClientInterface $llmClient,
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private readonly AppSettingsService $settings,
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private readonly ClassifierPromptBuilder $promptBuilder,
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private readonly LlmJsonDecoder $jsonDecoder,
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private readonly ToolCallRequestValidator $toolCallValidator,
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) {}
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/** @param array<ArticleCandidateDTO> $candidates */
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public function rank(string $ticketMessage, array $candidates): ClassificationResultDTO
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public function rank(string $ticketMessage, array $candidates, string $language = 'nl'): ClassificationResultDTO
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{
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if ($candidates === []) {
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return new ClassificationResultDTO(null, 0.0, 'No article candidates available');
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return new ClassificationResultDTO(null, 0.0, 'No article candidates available', rawResponse: ['mode' => 'none']);
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}
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$articlesBlock = collect($candidates)
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->map(fn (ArticleCandidateDTO $item, int $idx) => sprintf(
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"%d. article_id=%d\nTitle: %s\nContent: %s",
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$idx + 1,
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$item->articleId,
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$item->title,
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$item->content
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))
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->implode("\n\n");
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if (! (bool) config('services.llm.ranking_enabled', true)) {
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return new ClassificationResultDTO(
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articleId: $candidates[0]->articleId,
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confidence: 0.20,
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explanation: 'LLM ranking disabled; using top semantic candidate.',
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rawResponse: ['mode' => 'semantic_fallback', 'ranking_enabled' => false]
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);
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}
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$prompt = <<<PROMPT
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You are a support assistant.
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User question:
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"{$ticketMessage}"
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Articles:
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{$articlesBlock}
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Task:
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- Select the best matching article
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- Return:
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- article_id
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- confidence (0-1)
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- short explanation
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Respond in JSON ONLY.
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PROMPT;
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$baseUrl = rtrim((string) config('services.ollama.base_url'), '/');
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$basePrompt = $this->settings->getPrompt('classifier', 'Select best article and return JSON.');
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$prompt = $this->promptBuilder->build($basePrompt, $ticketMessage, $candidates, $language);
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try {
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$response = Http::timeout((int) config('services.ollama.timeout', 30))
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->post($baseUrl.'/api/generate', [
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'model' => config('services.ollama.chat_model', 'llama3'),
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'prompt' => $prompt,
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'stream' => false,
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])
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->throw()
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->json();
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} catch (Throwable $e) {
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throw new OllamaUnavailableException('Ollama generate endpoint is unavailable', 0, $e);
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$text = $this->llmClient->generate($prompt, ['expect_json' => true, 'task' => 'classifier']);
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} catch (\Throwable $e) {
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return new ClassificationResultDTO(
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articleId: $candidates[0]->articleId,
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confidence: 0.25,
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explanation: 'LLM unavailable; fallback to top semantic match. Reason: '.$e->getMessage(),
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rawResponse: ['mode' => 'semantic_fallback', 'error' => $e->getMessage()]
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);
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}
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$text = (string) ($response['response'] ?? '{}');
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$decoded = json_decode($text, true);
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if (!is_array($decoded)) {
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$decoded = $this->jsonDecoder->decode($text);
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if (! is_array($decoded)) {
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return new ClassificationResultDTO(
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articleId: $candidates[0]->articleId,
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confidence: 0.35,
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explanation: 'LLM returned invalid JSON; defaulted to top semantic match.',
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rawResponse: ['raw' => $text]
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rawResponse: ['mode' => 'semantic_fallback', 'raw' => $text]
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);
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}
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$validated = $this->validateClassificationSchema($decoded, $candidates);
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if ($validated === null) {
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return new ClassificationResultDTO(
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articleId: $candidates[0]->articleId,
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confidence: 0.35,
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explanation: 'LLM JSON schema invalid; defaulted to top semantic match.',
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rawResponse: ['mode' => 'semantic_fallback', 'raw' => $decoded]
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);
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}
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$validated['_meta'] = [
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'mode' => 'llm',
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'provider' => $this->settings->get('llm.provider', (string) config('services.llm.provider')),
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'model' => $this->settings->get('llm.models.classifier', (string) config('services.llm.chat_model')),
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];
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return new ClassificationResultDTO(
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articleId: isset($decoded['article_id']) ? (int) $decoded['article_id'] : $candidates[0]->articleId,
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confidence: isset($decoded['confidence']) ? (float) $decoded['confidence'] : 0.35,
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explanation: (string) ($decoded['explanation'] ?? 'No explanation provided.'),
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rawResponse: $decoded
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articleId: (int) $validated['article_id'],
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confidence: (float) $validated['confidence'],
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explanation: (string) $validated['explanation'],
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toolCall: $validated['tool_call'] ?? null,
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rawResponse: $validated
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);
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}
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}
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private function validateClassificationSchema(array $decoded, array $candidates): ?array
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{
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if (! isset($decoded['article_id'], $decoded['confidence'], $decoded['explanation'])) {
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return null;
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}
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$candidateIds = collect($candidates)->map(fn (ArticleCandidateDTO $c) => $c->articleId)->all();
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$articleId = (int) $decoded['article_id'];
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$confidence = (float) $decoded['confidence'];
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$explanation = trim((string) $decoded['explanation']);
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if (! in_array($articleId, $candidateIds, true)) {
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return null;
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}
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if ($confidence < 0 || $confidence > 1) {
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return null;
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}
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if ($explanation === '') {
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return null;
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}
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return [
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'article_id' => $articleId,
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'confidence' => round($confidence, 4),
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'explanation' => $explanation,
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'tool_call' => $this->toolCallValidator->validate($decoded['tool_call'] ?? null),
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];
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}
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}
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