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Documentation Index

Fetch the complete documentation index at: https://documentation.uponai.com/llms.txt

Use this file to discover all available pages before exploring further.

The LLM Playground provides an interactive environment for testing your AI agents without making actual web or phone calls. It enables:
  • Rapid prototyping and debugging of agent responses
  • Testing different conversation scenarios
  • Immediate feedback on agent behavior
  • Faster development iterations

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How to Use

1

Access the LLM Playground

  • Navigate to your agent’s detail page
  • Click the Test LLM tab
  • Choose Manual Chat
You’ll see a chat interface ready for testing.
2

Test basic conversations

Type your message in the input field and observe the agent’s response.
3

Test function calling

Use prompts that should trigger specific functions. Verify that functions are called with the correct parameters.
4

Test dynamic variables

Use dynamic variables in your prompts. Verify that variables are properly interpolated and test different variable values.
5

Mock custom functions

Add a mock response for functions during testing. The mock response is returned instead of making a real function call, ensuring no actual execution occurs during tests.
6

Iterate and refine

Monitor agent behavior and responses. Update prompts or functions as needed, then click Delete to reset the conversation and test the updated behavior.
7

Save test cases

Click Save to store your test conversation. Add a descriptive name — saved tests are accessible from the agent detail page for future regression testing.

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Best Practices

  • Start with simple conversations and gradually test more complex scenarios
  • Save important test cases for regression testing
  • Test edge cases and error handling
  • Document unexpected behaviors for future reference