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chore: Serveur 100% stable, ports corrigés, prêt pour le RAG
Build and Push Docker Image / build-and-push (push) Successful in 1m50s
Build and Push Docker Image / build-and-push (push) Successful in 1m50s
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@@ -1,16 +1,25 @@
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from openai import OpenAI
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from modules.logger import log_event
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def interroger_local_ollama(prompt_securise, modele="qwen2.5:3b"):
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def interroger_local_ollama(prompt_securise: str, modele: str = "qwen2.5-coder:3b"):
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"""
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Interroge le serveur local Ollama avec repli automatique sur le modèle par défaut.
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"""
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modele_effectif = modele if modele else "qwen2.5-coder:3b"
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client = OpenAI(base_url="http://192.168.1.20:11434/v1", api_key="ollama")
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try:
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resp = client.chat.completions.create(
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model=modele,
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messages=[{"role": "system", "content": "Réponds en français."}, {"role": "user", "content": prompt_securise}]
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model=modele_effectif,
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messages=[
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{"role": "system", "content": "Réponds en français."},
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{"role": "user", "content": prompt_securise}
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]
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)
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if resp and resp.choices:
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log_event("INFO", f"LOCAL-{modele}", "Succès.")
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return resp.choices[0].message.content, "#10b981", "SERVEUR LOCAL", modele
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log_event("INFO", f"LOCAL-{modele_effectif}", "Succès de la requête.")
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return resp.choices[0].message.content, "#10b981", "SERVEUR LOCAL", modele_effectif
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except Exception as e:
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log_event("ERROR", f"LOCAL-{modele}", f"Erreur: {e}")
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log_event("ERROR", f"LOCAL-{modele_effectif}", f"Erreur : {e}")
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raise Exception("Le serveur local a échoué.")
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