How to use the debug logs?
If you still have questions or prefer to get help directly from an agent, please submit a request.
We’ll get back to you as soon as possible.
- Getting Started
- Bot Building
- Conversation Design
Code Step Integration Static Step Integration Shopify Integration SETU Integration Exotel Integration CIBIL integration Freshdesk KMS Integration PayU Integration Zendesk Guide Integration Twilio Integration Razorpay Integration LeadSquared Integration USU(Unymira) Integration Helo(VivaConnect) Integration Salesforce KMS Integration Stripe Integration PayPal Integration CleverTap Integration Fynd Integration HubSpot Integration Magento Integration WooCommerce Integration Microsoft Dynamics 365 Integration
- Agent Setup
- Analytics & Reporting
- Proactive Messaging
- Commerce Plus
- Troubleshooting Guides
- Release Notes
Table of ContentsBasic InfoDetailed Info
When you are building the user journeys on an IVA, you can test the flows simultaneously using the Test bot section.
Every user message has a log icon, as shown below
The Debug section aids in understanding how the users are proceeding ahead in the flow. You can also check what details the bot is capturing and whether these users are going in the right direction.
There are 2 sections in the Debug logs -
- Basic Info
- Detailed Info
There are 3 parts under this Basic Info tab.
- Basic Details
- Step Details
- Detected Entities
1. Basic Details
Basic Details section provides basic information about the bot like Business Name, Bot Name, etc.
2. Step Details
Step Details section tells you which Static step was triggered when the user sent the message. If there is a code step and output step connection, the Step Details section mention which Code & Output steps were executed.
Important points to note -
- If there is an error in the code step execution, the log section will only show the code step which was triggered but not mention the output step.
- When the bot is confused and disambiguating between different start steps, you will be able to check the steps which are causing the bot to confuse.
3. Detected Entities
The Detected Entities section shows a list of all the entities which were detected on the bot. You will be able to see the total number of entities that were detected so far in the journey. A list of all the detected entities will help you debug if the right entity has captured the right value from the user.
In the Basic Info tab, you will be able to see information about the bot with respect to the steps which are getting triggered and the entities that are getting captured. In the Detailed Info tab, you can check all the attributes that led the user message to trigger a specific steps.
entities section will show you the list of all entities with their values captured so far in the journey. This section will help you see the structure in which the entity is stored on the bot. You can expand the section to check the structure. This structure is useful while using the entity value in the code step.
node_list section provides information about how the step was triggered i.e. whether the step was triggered on the basis of user messages or entity value.
connecting_node_name represents the step from which the transition was made. If it is NULL then the step was detected directly instead of some connection.
transition_entity_nameis NULL and
transition_entity_valueis NULL, then step was detected using user messages
transition_entity_nameis not NULL and
transition_entity_valueis NULL, then step was detected using entity presence connection type
transition_entity_nameis not NULL and not
transition_entity_valueis NULL, then step was detected using entity value connection type
response_list section mentions the response details which was sent to the user.
This section will help you understand which component is the bot replying from i.e. is the bot responding from the small talk module or the graph steps created on the bot.
This section will mention the Small Talk intent and the step name in the small talk section which is clashing with the user message.
These two flags mention the language in which the user has sent the original message and the detected language on the bot.
When the bot is getting confused between different start steps, this section can help you understand the attributes that are causing confusion on the bot.
code_nodes section will mention the code step which was executed.
If the user message has caused the bot to break, the
botbreak flag will be
If the bot is translating the message sent by the user the
translated flag will be
end_of_context flag is
true that means the user has reached a Context Clear step.
If the handover flag is
true that means there is a handover to a live agent.
This is the business name of the bot.
detected_language flag shows the language in which the user has sent the original message.
detected_output_steps section mentions the detail about the output step that was triggered.
detected_code_steps section mentions the detail about the code step that was executed.