Configure Your AI Agent
Learn how to set up language, model, voice, and other key settings for your AI Agent
Proper configuration of your AI Agent is crucial for optimal performance. Each setting affects how your Agent communicates and processes information.
Core Settings
1. Select Language
Choose the primary language for your AI Agent’s interactions.
Select a language that matches your target audience. This affects both understanding and response capabilities.
2. Select Model
Choose the AI model that will power your Agent’s intelligence.
OpenAI Models
GPT-4.1
Highest intelligence
- Ideal for complex tasks and advanced instruction following
- Supports up to 1 million tokens for extensive context handling
- Excels in reasoning, and long-context comprehension
- Suitable for use in Agentic AI Agents
- Best choice for tool integration and sophisticated applications
GPT-4.1-mini
Balanced intelligence and performance
- Faster responses with lower latency compared to GPT-4.1
- Maintains support for up to 1 million tokens
- Handles moderately complex instructions effectively
- Suitable for applications requiring a balance between performance and cost
- Can be used in Agentic AI Agents
GPT-4.1-nano
Lightweight and cost-effective
- Fastest response times among the GPT-4.1 models
- Supports up to 1 million tokens for context
- Optimized for simple tasks like classification and autocomplete
- Not suitable for complex instruction following or tool integration
- Best for applications where speed and cost are prioritized over advanced capabilities
GPT-4o
Higher intelligence
- First for use with complex instructions in the system prompt of a Simple AI Agent. In an Agentic AI Agent, this model is used by default
- Slower responses, higher latency
- Better understanding
- Higher accuracy, handles out of context queries better
- Optimal for using with tools
GPT-4o Mini
Lower intelligence, budget-friendly
- Faster responses, lower latency
- Simple system prompt with less complex instructions
- Limited performance with tools
- Best for simple queries
- Not supported in Agentic AI Agents
Verbex Models
Verbex Bangla Mini
Bengali-specialized model
- Optimized for Bengali language tasks and tool-calling scenarios
- Handles Bengali text and tool interactions effectively
- Suitable for building conversational agents that need to interact with external systems in Bengali
- Faster than GPT-4o, GPT-4.1 model
- Best for Bengali language tasks and tool-calling scenarios
Model Card: Verbex Bangla Mini
Custom Model
Verbex support OpenAI compatible custom LLM models. You can use any LLM that is supported by OpenAI compatible models.
Before adding a custom model to Verbex, keep in mind that:
- The model should be OpenAI compatible.
- The model should support streaming responses.
- The model should support tool calling.
For AI Agents that use tools (like calendar booking, email sending, etc.), GPT-4o is strongly recommended. GPT-4o Mini has limited capabilities in handling tool interactions, which may result in unreliable tool execution and degraded performance.
We plan to add models like Anthropic Claude, Google Gemini, and more in the future.
3. Select STT
Select the STT module that will convert user speech into text.
The STT module is crucial for accurate transcription of customer speech, directly impacting your AI Agent’s ability to understand and respond appropriately.
4. Select Voice
Choose a voice that represents your brand and resonates with your audience.
When selecting a voice, consider:
- Language compatibility
- Gender preference
- Accent appropriateness
- Speaking style
- Brand alignment
Configuration Best Practices
Language & Region
Match your target market’s primary language and regional preferences
Model Selection
Balance performance needs with budget constraints
Voice Choice
Align voice characteristics with brand identity
STT Accuracy
Test STT performance with your typical use cases
Performance Considerations
Model selection significantly impacts:
- Response speed
- Reasoning ability of the AI Agent
- Handling out of context queries
- Overall user experience
Model Comparison
| Model | Performance | Cost | Best For | Tool Calling |
|---|---|---|---|---|
| GPT-4o | High | Higher | Complex interactions, tool-based operations | Excellent |
| GPT-4o Mini | Moderate | Lower | Basic queries without tools | Limited |
If your AI Agent will be using any tools or integrations, choose GPT-4o to ensure reliable tool calling performance. While GPT-4o Mini is cost-effective, it’s best suited for simple conversation-only scenarios.
Learn more about Tools Configuration →
Configure Your AI Agent
Learn how to set up language, model, voice, and other key settings for your AI Agent
Proper configuration of your AI Agent is crucial for optimal performance. Each setting affects how your Agent communicates and processes information.
Core Settings
1. Select Language
Choose the primary language for your AI Agent’s interactions.
Select a language that matches your target audience. This affects both understanding and response capabilities.
2. Select Model
Choose the AI model that will power your Agent’s intelligence.
OpenAI Models
GPT-4.1
Highest intelligence
- Ideal for complex tasks and advanced instruction following
- Supports up to 1 million tokens for extensive context handling
- Excels in reasoning, and long-context comprehension
- Suitable for use in Agentic AI Agents
- Best choice for tool integration and sophisticated applications
GPT-4.1-mini
Balanced intelligence and performance
- Faster responses with lower latency compared to GPT-4.1
- Maintains support for up to 1 million tokens
- Handles moderately complex instructions effectively
- Suitable for applications requiring a balance between performance and cost
- Can be used in Agentic AI Agents
GPT-4.1-nano
Lightweight and cost-effective
- Fastest response times among the GPT-4.1 models
- Supports up to 1 million tokens for context
- Optimized for simple tasks like classification and autocomplete
- Not suitable for complex instruction following or tool integration
- Best for applications where speed and cost are prioritized over advanced capabilities
GPT-4o
Higher intelligence
- First for use with complex instructions in the system prompt of a Simple AI Agent. In an Agentic AI Agent, this model is used by default
- Slower responses, higher latency
- Better understanding
- Higher accuracy, handles out of context queries better
- Optimal for using with tools
GPT-4o Mini
Lower intelligence, budget-friendly
- Faster responses, lower latency
- Simple system prompt with less complex instructions
- Limited performance with tools
- Best for simple queries
- Not supported in Agentic AI Agents
Verbex Models
Verbex Bangla Mini
Bengali-specialized model
- Optimized for Bengali language tasks and tool-calling scenarios
- Handles Bengali text and tool interactions effectively
- Suitable for building conversational agents that need to interact with external systems in Bengali
- Faster than GPT-4o, GPT-4.1 model
- Best for Bengali language tasks and tool-calling scenarios
Model Card: Verbex Bangla Mini
Custom Model
Verbex support OpenAI compatible custom LLM models. You can use any LLM that is supported by OpenAI compatible models.
Before adding a custom model to Verbex, keep in mind that:
- The model should be OpenAI compatible.
- The model should support streaming responses.
- The model should support tool calling.
For AI Agents that use tools (like calendar booking, email sending, etc.), GPT-4o is strongly recommended. GPT-4o Mini has limited capabilities in handling tool interactions, which may result in unreliable tool execution and degraded performance.
We plan to add models like Anthropic Claude, Google Gemini, and more in the future.
3. Select STT
Select the STT module that will convert user speech into text.
The STT module is crucial for accurate transcription of customer speech, directly impacting your AI Agent’s ability to understand and respond appropriately.
4. Select Voice
Choose a voice that represents your brand and resonates with your audience.
When selecting a voice, consider:
- Language compatibility
- Gender preference
- Accent appropriateness
- Speaking style
- Brand alignment
Configuration Best Practices
Language & Region
Match your target market’s primary language and regional preferences
Model Selection
Balance performance needs with budget constraints
Voice Choice
Align voice characteristics with brand identity
STT Accuracy
Test STT performance with your typical use cases
Performance Considerations
Model selection significantly impacts:
- Response speed
- Reasoning ability of the AI Agent
- Handling out of context queries
- Overall user experience
Model Comparison
| Model | Performance | Cost | Best For | Tool Calling |
|---|---|---|---|---|
| GPT-4o | High | Higher | Complex interactions, tool-based operations | Excellent |
| GPT-4o Mini | Moderate | Lower | Basic queries without tools | Limited |
If your AI Agent will be using any tools or integrations, choose GPT-4o to ensure reliable tool calling performance. While GPT-4o Mini is cost-effective, it’s best suited for simple conversation-only scenarios.
Learn more about Tools Configuration →