weeds
01/05/2026, 7:32 PMVapi Support Bot
01/05/2026, 7:33 PMVapi Support Bot
01/05/2026, 7:39 PMweeds
01/05/2026, 7:40 PMChiranjeet Mishra
01/06/2026, 10:52 AMweeds
01/07/2026, 3:14 PMChiranjeet Mishra
01/11/2026, 2:03 PMe0de4a31-daf0-4111-aa7a-4fcc479c42b3) for these common issues:
Model Configuration:
⢠Ensure a valid LLM model is selected and configured
⢠Verify API keys for your chosen model provider are active
⢠Check that model parameters (temperature, max tokens) are set appropriately
System Prompt:
⢠Confirm the assistant has a system prompt/instructions
⢠Verify the prompt doesn't contain conflicting directives
⢠Ensure the prompt encourages active conversation participation
Step 2: Test with Simple Evaluation
Create a basic smoke test to isolate the issue:
{
"name": "Assistant Response Test",
"type": "chat.mockConversation",
"messages": [
{
"role": "user",
"content": "Hello"
},
{
"role": "assistant",
"judgePlan": {
"type": "regex",
"content": ".+"
}
}
]
}
This minimal test checks if the assistant responds at all to a simple greeting.
Step 3: Check Tool Configuration
Since you mentioned calendar integration, verify:
Tool Setup:
⢠Calendar tools are properly configured with correct endpoints
⢠Authentication credentials for GHL integration are valid
⢠Tool schemas match expected input/output formats
Function Definitions:
⢠Tools have proper JSON schemas defined
⢠Required parameters are correctly specified
⢠Tool descriptions are clear and actionableweeds
01/14/2026, 5:06 PMChiranjeet Mishra
01/16/2026, 5:17 PMweeds
01/20/2026, 10:11 AMweeds
01/27/2026, 11:01 AMChiranjeet Mishra
01/27/2026, 2:05 PMweeds
02/04/2026, 8:07 PMweeds
02/19/2026, 3:25 PM