docs: update model integration doc
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@@ -115,32 +115,17 @@ export default {
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model_integration: {
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title: 'Model Integration',
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subtitle:
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'Supports OpenAI-compatible models with tool call support, including public cloud services and private deployments.',
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'Supports models that comply with OpenAI API specification and support tool calls, including public cloud services and private deployments.',
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recommendation_logic: 'Recommended: Lightweight models with strong ToolCall capabilities',
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recommended: 'Recommended Models',
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model_gpt4_title: '⚡ gpt-4.1-mini',
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model_gpt4_badge: 'Evaluation Baseline ✅',
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model_gpt4_1: '• Cost-effective',
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model_gpt4_2: '• Fast',
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model_gpt4_3: '• High success rate',
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model_deepseek_title: '💰 DeepSeek-3.2',
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model_deepseek_badge: 'Economical',
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model_deepseek_1: '• Much cheaper than similar models',
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model_deepseek_2: '• ToolCall may error but usually auto-recovers',
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model_deepseek_3: "• This site's free demo uses DeepSeek",
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model_qwen_title: '🛡️ qwen3',
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model_qwen_badge: 'Secure & Compliant',
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model_qwen_1: '• Controllable, decent results, reasonable price',
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model_qwen_2: '• ToolCall may error but usually auto-recovers',
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model_qwen_3: '• Best for scenarios with detailed steps',
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model_gemini_title: '⚡ gemini-2.5-flash',
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model_gemini_badge: 'Highly efficient, high success rate, reasonable price',
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available: 'Available Models',
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available_verified: '✅ Verified Working',
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available_verified: 'Verified Working Models',
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tips: 'Tips',
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tip_1: 'Reasoning models (like GPT-5) are slower with no advantage',
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tip_2:
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"Non-OpenAI models don't guarantee JSON schema compliance—tool call may error but usually recovers. Higher temperature recommended",
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tip_3: 'Small/nano models perform poorly',
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'Models with weaker ToolCall capabilities may return incorrect formats. Common errors usually auto-recover. Higher temperature recommended',
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tip_3:
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'Small models or those unable to handle complex tool definitions typically perform poorly',
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security: '🔐 Production Authentication',
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security_warning: '⚠️ Never commit real LLM API Keys to your frontend codebase',
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security_desc:
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