config.toml

@@ -49,7 +49,7 @@ enabled = true
 generate_models = ["llama-3.2-90b-vision-preview","llama-3.3-70b-versatile","llama-3.3-70b-specdec","llama-3.2-11b-vision-preview","llama3-70b-8192","llama-3.1-8b-instant","llama3-8b-8192","llama-3.2-3b-preview","llama-3.2-1b-preview"] # for home usage gemma3:1b recommended, for Groq llama-3.1-8b-instant
 generate_endpoint = "http://IP:PORT/api/generate" # Can be empty if using groq
 use_groq = true
-groq_api_token = "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" # Get one at https://console.groq.com/keys
+groq_api_token = "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" # Get one at https://console.groq.com/keys
 # Example API key
 
 
@@ -58,6 +58,6 @@ prompt = "Analyze the given code and return an abuse score (0-10) with a brief r
 [INTEGRATION.DISCORD]
 
 enabled = true
-webhook_url = "https://discord.com/api/webhooks/1353420411018416128/2lK_3tB4DGYfO6bUMfghNuf6N1tr4A8mPM-S3Lct0qwnibuGbzsDfSoK62231Qi3QQsM"
+webhook_url = "https://discord.com/api/webhooks/1353420407511973948/knrSGrfLDvi_60Mese1LAIBmkrK05a_L4PmyyE7R7wvGZEXiWdzrRT8pdicj0aHe88m4"
 # Example webhook
 truncate_text = true # Used only if AI INTEGRATION is enabled, trunclates text if true to maxium allowed characters or when false splits in few webhook messages.

utils/integration/AI.py

@@ -62,7 +62,7 @@ def generate_response(data):
             response = requests.post(generate_endpoint, json=payload, headers=headers)
             response.raise_for_status() 
             if use_groq:
-                return response.json()["choices"][0]["message"]["content"] + f"\n\n> AI Model: {generate_model}"
+                return response.json()["choices"][0]["message"]["content"]
             else:
                 return response.json()
 
@@ -71,7 +71,7 @@ def generate_response(data):
             Log.e(f"Using model: {generate_model}")
             error_messages.append(f"Model {generate_model} failed: {e}")
             return None
-    return f"All models failed to generate response. Errors: {error_messages}"
+    return f"All models failed. Errors: {error_messages}"
 
 
 def ai_analyse(src):