Chatbot

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Getting Started (3)

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Ai Configuration (5)

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Woocommerce Integration (6)

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Chatbot Implementation (3)

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Customization (2)

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Conversation Management (2)

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Chatbot Menu Settings (5)

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Performance And Optimization (1)

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Security And Privacy (5)

Setting Up AI Models

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Available Models

WPiko Chatbot supports various OpenAI models, each with different capabilities and pricing:

Models

  • GPT-5.4

  • GPT-5.3

  • GPT-5.2

  • GPT-5.1

  • GPT-5

  • GPT-4.1

    • View comparison table here

    Model Settings

    For GPT-5 and newer models, you can fine-tune the AI’s behavior with the following settings:

    Reasoning Effort

    Controls how deeply the model thinks before responding. Higher effort leads to better answers for complex tasks but increases response time.

    • None (GPT-5.1/5.2 only): Fastest response, minimal thinking time.

    • Minimal (GPT-5 family only): Very fast, light reasoning.

    • Low: Balanced speed and thought.

    • Medium: Standard reasoning depth (Default for GPT-5 family).

    • High: Deep thinking for complex problems.

    • X-High (GPT-5.2 only): Maximum reasoning depth for the most difficult queries.

    Verbosity

    Controls the length and detail of the response.

    • Low: Concise, to-the-point answers.

    • Medium: Balanced detail (Default).

    • High: Comprehensive, detailed explanations.

    Model Selection

    Choosing the Right Model

  • Navigate to AI Configuration

  • Find the “Model” dropdown menu

  • Select from available models based on your needs.

  • If a supported model is selected (e.g., GPT-5 family), additional settings will appear:

    • – Reasoning Effort: Adjust based on problem complexity.
    – Verbosity: Adjust based on desired response length.

  • Consider the following when making your selection:

    • – Consider complexity of tasks
    – Balance cost vs. performance
    – Account for response time requirements

    Performance Considerations

    Cost Efficiency

  • Consider your usage volume

  • Monitor token consumption

  • Balance quality vs. cost

  • Start with lower-tier models and upgrade as needed

    • Best Practices

    Model Selection Tips

  • Test different models with your specific content

  • Monitor performance and costs

  • Adjust based on user feedback

    • Optimization Strategies

  • Use the simplest model that meets your needs

  • Regular performance reviews

  • Monitor usage patterns

  • Adjust model selection based on:

    • – Response quality
    – Speed requirements
    – Budget constraints
    – User satisfaction

    Troubleshooting

    Common Issues

  • Slow Responses

    • – Consider switching to a faster model
    – Consider switching to a non reasoning model
    – Check server resources

    • Quality Issues

      • – Upgrade to a more capable model
      – Review system instructions
      – Test with different prompts