AI Analysis: add support for multiple providers (OpenAI, Claude, Gemini)
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@@ -15,14 +15,14 @@ class AIAnalysisController extends Controller
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$this->aiService = $aiService;
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}
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public function analyze(Candidate $candidate)
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public function analyze(Request $request, Candidate $candidate)
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{
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if (!auth()->user()->isAdmin()) {
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abort(403);
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}
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try {
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$analysis = $this->aiService->analyze($candidate);
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$analysis = $this->aiService->analyze($candidate, $request->provider);
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// Persist the analysis on the candidate profile
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$candidate->update([
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@@ -21,7 +21,7 @@ class AIAnalysisService
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/**
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* Analyze a candidate against their assigned Job Position.
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*/
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public function analyze(Candidate $candidate)
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public function analyze(Candidate $candidate, ?string $provider = null)
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{
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if (!$candidate->job_position_id) {
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throw new \Exception("Le candidat n'est associé à aucune fiche de poste.");
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@@ -36,7 +36,7 @@ class AIAnalysisService
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throw new \Exception("Impossible d'extraire le texte du CV.");
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}
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return $this->callAI($candidate, $cvText, $letterText);
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return $this->callAI($candidate, $cvText, $letterText, $provider);
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}
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/**
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@@ -75,8 +75,10 @@ class AIAnalysisService
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/**
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* Call the AI API (using a placeholder for now, or direct Http call).
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*/
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protected function callAI(Candidate $candidate, string $cvText, ?string $letterText)
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protected function callAI(Candidate $candidate, string $cvText, ?string $letterText, ?string $provider = null)
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{
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$provider = $provider ?: env('AI_DEFAULT_PROVIDER', 'ollama');
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$jobTitle = $candidate->jobPosition->title;
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$jobDesc = $candidate->jobPosition->description;
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$requirements = implode(", ", $candidate->jobPosition->requirements ?? []);
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@@ -106,9 +108,16 @@ class AIAnalysisService
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Réponds UNIQUEMENT en JSON pur.";
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// For now, I'll use a mocked response or try to use a generic endpoint if configured.
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// I'll check if the user has an Ollama endpoint.
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return match ($provider) {
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'openai' => $this->callOpenAI($prompt),
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'anthropic' => $this->callAnthropic($prompt),
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'gemini' => $this->callGemini($prompt),
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default => $this->callOllama($prompt),
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};
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}
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protected function callOllama(string $prompt)
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{
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$ollamaUrl = env('OLLAMA_URL', 'http://localhost:11434/api/generate');
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$ollamaModel = env('OLLAMA_MODEL', 'mistral');
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@@ -123,16 +132,97 @@ class AIAnalysisService
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if ($response->successful()) {
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return json_decode($response->json('response'), true);
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} else {
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Log::warning("AI Provider Error: HTTP " . $response->status() . " - " . $response->body());
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Log::warning("AI Provider Error (Ollama): HTTP " . $response->status() . " - " . $response->body());
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}
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} catch (\Exception $e) {
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Log::error("AI Connection Failed (Ollama): " . $e->getMessage());
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}
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// Fallback for demo if Ollama is not running
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return $this->getSimulatedAnalysis();
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}
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protected function callOpenAI(string $prompt)
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{
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$apiKey = env('OPENAI_API_KEY');
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if (!$apiKey) return $this->getSimulatedAnalysis();
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try {
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$response = Http::withToken($apiKey)->timeout(60)->post('https://api.openai.com/v1/chat/completions', [
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'model' => 'gpt-4o',
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'messages' => [['role' => 'user', 'content' => $prompt]],
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'response_format' => ['type' => 'json_object']
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]);
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if ($response->successful()) {
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return json_decode($response->json('choices.0.message.content'), true);
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}
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} catch (\Exception $e) {
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Log::error("OpenAI Analysis Failed: " . $e->getMessage());
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}
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return $this->getSimulatedAnalysis();
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}
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protected function callAnthropic(string $prompt)
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{
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$apiKey = env('ANTHROPIC_API_KEY');
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if (!$apiKey) return $this->getSimulatedAnalysis();
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try {
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$response = Http::withHeaders([
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'x-api-key' => $apiKey,
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'anthropic-version' => '2023-06-01',
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'content-type' => 'application/json'
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])->timeout(60)->post('https://api.anthropic.com/v1/messages', [
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'model' => 'claude-3-5-sonnet-20240620',
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'max_tokens' => 1024,
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'messages' => [['role' => 'user', 'content' => $prompt]]
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]);
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if ($response->successful()) {
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$content = $response->json('content.0.text');
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return json_decode($this->extractJson($content), true);
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}
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} catch (\Exception $e) {
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Log::error("Anthropic Analysis Failed: " . $e->getMessage());
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}
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return $this->getSimulatedAnalysis();
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}
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protected function callGemini(string $prompt)
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{
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$apiKey = env('GEMINI_API_KEY');
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if (!$apiKey) return $this->getSimulatedAnalysis();
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try {
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$response = Http::timeout(60)->post("https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=" . $apiKey, [
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'contents' => [['parts' => [['text' => $prompt]]]],
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'generationConfig' => ['responseMimeType' => 'application/json']
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]);
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if ($response->successful()) {
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$text = $response->json('candidates.0.content.parts.0.text');
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return json_decode($this->extractJson($text), true);
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}
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} catch (\Exception $e) {
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Log::error("Gemini Analysis Failed: " . $e->getMessage());
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}
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return $this->getSimulatedAnalysis();
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}
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private function extractJson($string)
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{
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preg_match('/\{.*\}/s', $string, $matches);
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return $matches[0] ?? '{}';
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}
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private function getSimulatedAnalysis()
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{
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return [
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'match_score' => 75,
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'summary' => "Analyse simulée (IA non connectée). Le candidat semble avoir une solide expérience mais certains points techniques doivent être vérifiés.",
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'summary' => "Analyse simulée (IA non connectée ou erreur API). Le candidat semble avoir une solide expérience mais certains points techniques doivent être vérifiés.",
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'strengths' => ["Expérience pertinente", "Bonne présentation"],
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'gaps' => ["Compétences spécifiques à confirmer"],
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'verdict' => "Favorable"
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@@ -122,6 +122,7 @@ const updateAnswerScore = (answerId, score) => {
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const aiAnalysis = ref(props.candidate.ai_analysis || null);
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const isAnalyzing = ref(false);
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const selectedProvider = ref('ollama');
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const runAI = async () => {
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if (!props.candidate.job_position_id) {
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@@ -131,7 +132,14 @@ const runAI = async () => {
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isAnalyzing.value = true;
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try {
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const response = await fetch(route('admin.candidates.analyze', props.candidate.id));
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const response = await fetch(route('admin.candidates.analyze', props.candidate.id), {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'X-CSRF-TOKEN': document.querySelector('meta[name="csrf-token"]').getAttribute('content')
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},
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body: JSON.stringify({ provider: selectedProvider.value })
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});
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const data = await response.json();
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if (data.error) {
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alert(data.error);
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@@ -363,37 +371,52 @@ const runAI = async () => {
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<!-- AI Analysis Section -->
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<div class="bg-white dark:bg-slate-800 rounded-2xl shadow-sm border border-slate-200 dark:border-slate-700 p-8 overflow-hidden relative">
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<div class="flex items-center justify-between mb-8">
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<div class="flex flex-col md:flex-row md:items-center justify-between gap-6 mb-8">
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<div>
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<h4 class="text-xl font-bold flex items-center gap-2">
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<svg xmlns="http://www.w3.org/2000/svg" class="h-6 w-6 text-indigo-500" fill="none" viewBox="0 0 24 24" stroke="currentColor">
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<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 10V3L4 14h7v7l9-11h-7z" />
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</svg>
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Analyse d'Adéquation IA
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Intelligence Artificielle
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</h4>
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<p class="text-xs text-slate-400 mt-1 uppercase font-bold tracking-widest">Matching CV/Lettre vs Fiche de poste</p>
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<p class="text-xs text-slate-400 mt-1 uppercase font-bold tracking-widest">Choisir l'IA pour l'analyse du matching</p>
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</div>
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<PrimaryButton
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@click="runAI"
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:disabled="isAnalyzing"
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class="!bg-indigo-600 hover:!bg-indigo-500 !border-none !rounded-xl group"
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>
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<span v-if="isAnalyzing" class="flex items-center gap-2">
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<svg class="animate-spin h-4 w-4 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
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<circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle>
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<path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
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</svg>
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Analyse en cours...
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</span>
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<span v-else class="flex items-center gap-2">
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<svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4 group-hover:scale-110 transition-transform" fill="none" viewBox="0 0 24 24" stroke="currentColor">
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<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M14.752 11.168l-3.197-2.132A1 1 0 0010 9.87v4.263a1 1 0 001.555.832l3.197-2.132a1 1 0 000-1.664z" />
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<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
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</svg>
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Lancer l'analyse intelligente
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</span>
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</PrimaryButton>
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<div class="flex flex-wrap items-center gap-4">
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<!-- Provider Selector -->
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<div class="flex items-center bg-slate-100 dark:bg-slate-900/50 p-1.5 rounded-2xl border border-slate-200 dark:border-slate-800">
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<button
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v-for="provider in ['ollama', 'openai', 'anthropic', 'gemini']"
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:key="provider"
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@click="selectedProvider = provider"
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class="px-4 py-2 text-[10px] font-black uppercase tracking-widest rounded-xl transition-all"
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:class="selectedProvider === provider ? 'bg-white dark:bg-slate-800 shadow-sm text-indigo-600' : 'text-slate-400 hover:text-slate-600 dark:hover:text-slate-300'"
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>
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{{ provider }}
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</button>
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</div>
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<PrimaryButton
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@click="runAI"
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:disabled="isAnalyzing"
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class="!bg-indigo-600 hover:!bg-indigo-500 !border-none !rounded-xl group"
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>
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<span v-if="isAnalyzing" class="flex items-center gap-2">
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<svg class="animate-spin h-4 w-4 text-white" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24">
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<circle class="opacity-25" cx="12" cy="12" r="10" stroke="currentColor" stroke-width="4"></circle>
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<path class="opacity-75" fill="currentColor" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path>
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</svg>
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Analyse en cours...
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</span>
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<span v-else class="flex items-center gap-2">
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<svg xmlns="http://www.w3.org/2000/svg" class="h-4 w-4 group-hover:scale-110 transition-transform" fill="none" viewBox="0 0 24 24" stroke="currentColor">
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<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M14.752 11.168l-3.197-2.132A1 1 0 0010 9.87v4.263a1 1 0 001.555.832l3.197-2.132a1 1 0 000-1.664z" />
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<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M21 12a9 9 0 11-18 0 9 9 0 0118 0z" />
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</svg>
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Lancer l'analyse intelligente
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</span>
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</PrimaryButton>
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</div>
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</div>
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<!-- AI Results -->
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