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AI Analysis: add support for multiple providers (OpenAI, Claude, Gemini)

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jeremy bayse
2026-03-25 07:29:39 +01:00
parent e02c6849fe
commit e3b1a2583f
3 changed files with 149 additions and 36 deletions
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4
app/Http/Controllers/AIAnalysisController.php
View File

@@ -15,14 +15,14 @@ class AIAnalysisController extends Controller
$this->aiService = $aiService;
}
public function analyze(Candidate $candidate)
public function analyze(Request $request, Candidate $candidate)
{
if (!auth()->user()->isAdmin()) {
abort(403);
}
try {
$analysis = $this->aiService->analyze($candidate);
$analysis = $this->aiService->analyze($candidate, $request->provider);
// Persist the analysis on the candidate profile
$candidate->update([

110
app/Services/AIAnalysisService.php
View File

@@ -21,7 +21,7 @@ class AIAnalysisService
/**
* Analyze a candidate against their assigned Job Position.
*/
public function analyze(Candidate $candidate)
public function analyze(Candidate $candidate, ?string $provider = null)
{
if (!$candidate->job_position_id) {
throw new \Exception("Le candidat n'est associé à aucune fiche de poste.");
@@ -36,7 +36,7 @@ class AIAnalysisService
throw new \Exception("Impossible d'extraire le texte du CV.");
}
return $this->callAI($candidate, $cvText, $letterText);
return $this->callAI($candidate, $cvText, $letterText, $provider);
}
/**
@@ -75,8 +75,10 @@ class AIAnalysisService
/**
* Call the AI API (using a placeholder for now, or direct Http call).
*/
protected function callAI(Candidate $candidate, string $cvText, ?string $letterText)
protected function callAI(Candidate $candidate, string $cvText, ?string $letterText, ?string $provider = null)
{
$provider = $provider ?: env('AI_DEFAULT_PROVIDER', 'ollama');
$jobTitle = $candidate->jobPosition->title;
$jobDesc = $candidate->jobPosition->description;
$requirements = implode(", ", $candidate->jobPosition->requirements ?? []);
@@ -105,10 +107,17 @@ class AIAnalysisService
- verdict: une conclusion (Favorable, Très Favorable, Réservé, Défavorable)
Réponds UNIQUEMENT en JSON pur.";
// For now, I'll use a mocked response or try to use a generic endpoint if configured.
// I'll check if the user has an Ollama endpoint.
return match ($provider) {
'openai' => $this->callOpenAI($prompt),
'anthropic' => $this->callAnthropic($prompt),
'gemini' => $this->callGemini($prompt),
default => $this->callOllama($prompt),
};
}
protected function callOllama(string $prompt)
{
$ollamaUrl = env('OLLAMA_URL', 'http://localhost:11434/api/generate');
$ollamaModel = env('OLLAMA_MODEL', 'mistral');
@@ -123,16 +132,97 @@ class AIAnalysisService
if ($response->successful()) {
return json_decode($response->json('response'), true);
} else {
Log::warning("AI Provider Error: HTTP " . $response->status() . " - " . $response->body());
Log::warning("AI Provider Error (Ollama): HTTP " . $response->status() . " - " . $response->body());
}
} catch (\Exception $e) {
Log::error("AI Connection Failed (Ollama): " . $e->getMessage());
}
// Fallback for demo if Ollama is not running
return $this->getSimulatedAnalysis();
}
protected function callOpenAI(string $prompt)
{
$apiKey = env('OPENAI_API_KEY');
if (!$apiKey) return $this->getSimulatedAnalysis();
try {
$response = Http::withToken($apiKey)->timeout(60)->post('https://api.openai.com/v1/chat/completions', [
'model' => 'gpt-4o',
'messages' => [['role' => 'user', 'content' => $prompt]],
'response_format' => ['type' => 'json_object']
]);
if ($response->successful()) {
return json_decode($response->json('choices.0.message.content'), true);
}
} catch (\Exception $e) {
Log::error("OpenAI Analysis Failed: " . $e->getMessage());
}
return $this->getSimulatedAnalysis();
}
protected function callAnthropic(string $prompt)
{
$apiKey = env('ANTHROPIC_API_KEY');
if (!$apiKey) return $this->getSimulatedAnalysis();
try {
$response = Http::withHeaders([
'x-api-key' => $apiKey,
'anthropic-version' => '2023-06-01',
'content-type' => 'application/json'
])->timeout(60)->post('https://api.anthropic.com/v1/messages', [
'model' => 'claude-3-5-sonnet-20240620',
'max_tokens' => 1024,
'messages' => [['role' => 'user', 'content' => $prompt]]
]);
if ($response->successful()) {
$content = $response->json('content.0.text');
return json_decode($this->extractJson($content), true);
}
} catch (\Exception $e) {
Log::error("Anthropic Analysis Failed: " . $e->getMessage());
}
return $this->getSimulatedAnalysis();
}
protected function callGemini(string $prompt)
{
$apiKey = env('GEMINI_API_KEY');
if (!$apiKey) return $this->getSimulatedAnalysis();
try {
$response = Http::timeout(60)->post("https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=" . $apiKey, [
'contents' => [['parts' => [['text' => $prompt]]]],
'generationConfig' => ['responseMimeType' => 'application/json']
]);
if ($response->successful()) {
$text = $response->json('candidates.0.content.parts.0.text');
return json_decode($this->extractJson($text), true);
}
} catch (\Exception $e) {
Log::error("Gemini Analysis Failed: " . $e->getMessage());
}
return $this->getSimulatedAnalysis();
}
private function extractJson($string)
{
preg_match('/\{.*\}/s', $string, $matches);
return $matches[0] ?? '{}';
}
private function getSimulatedAnalysis()
{
return [
'match_score' => 75,
'summary' => "Analyse simulée (IA non connectée). Le candidat semble avoir une solide expérience mais certains points techniques doivent être vérifiés.",
'summary' => "Analyse simulée (IA non connectée ou erreur API). Le candidat semble avoir une solide expérience mais certains points techniques doivent être vérifiés.",
'strengths' => ["Expérience pertinente", "Bonne présentation"],
'gaps' => ["Compétences spécifiques à confirmer"],
'verdict' => "Favorable"