Introduction
Duvo allows you to choose which AI model powers your agents. Different models have different strengths, and selecting the right one can improve your agent’s performance for specific tasks.Why Model Selection Matters
Different AI models excel at different types of tasks:- Complex reasoning - Some models are better at multi-step logic and analysis
- Speed - Faster models are ideal for simple, high-volume tasks
- Specialized tasks - Certain models perform better with code, data, or creative content
How to Select a Model
When Building an Agent
1
Open the agent
Open the agent you’re building or editing.
2
Find the Model option
Find the Model selection option in the configuration.
3
Choose a model
Choose from the available models.
4
Save
Save your changes.
Changing Models Later
You can change an agent’s model at any time:1
Open the agent
Open the agent.
2
Edit the configuration
Edit the configuration.
3
Select a different model
Select a different model.
4
Save and test
Save and test the changes.
Choosing the Right Model
For Complex Analysis
When your agent needs to:- Analyze detailed documents
- Make nuanced decisions
- Handle multi-step reasoning
- Process complex instructions
For Simple Tasks
When your agent needs to:- Perform straightforward data entry
- Execute simple, repetitive actions
- Handle high-volume processing
- Complete quick lookups
For Specialized Work
Consider the nature of your task:- Document work - Models with strong comprehension
- Data processing - Models good with structured information
- Communication - Models that write naturally
Best Practices
Start with Defaults
The default model works well for most tasks. Only change if you have a specific reason.Test Before Committing
When changing models:1
Run test executions
Run test executions with the new model.
2
Compare results
Compare results to previous runs.
3
Verify correctness
Verify the agent still works correctly.
4
Monitor after switching
Monitor for any issues after switching.
Match Model to Task
Don’t assume more capable always means better:- Simpler models can be faster and more efficient
- Complex models may be overkill for basic tasks
- The right fit depends on your specific needs
Document Your Choice
If you select a specific model for a reason, note why in the agent description. This helps future maintenance.Things to Know
- Model availability may vary based on your plan
- Changing models doesn’t affect past run history
- Some tasks may perform differently with different models
- Model capabilities are continuously improved
- Default selections are optimized for general use