Logs

Explore all conversation logs within your workspace in NLX's Dialog Studio

What's Logs?

Logs provides a detailed view of the conversations occurring with bots in your workspace. While History tracks significant moments of the NLP (detecting user messages and routing to the appropriate intent flow), Logs displays all events processed by the NLX Natural Language Understanding (NLU) technology, including selections a user has made during a conversation, nodes that were traversed, and webhooks/APIs invoked.


Access


Filters

When viewing logged events, the results may hold an overwhelming amount of data. Use the filters to auto-update the results to only the information you would like to see:

  • Event type: Select from the associated dropdown to filter by Event type

  • Time: Defines the time interval you would like to view, Relative or Absolute. You can switch to the other option by clicking on the ellipsis icon directly above the field. To choose a Relative timeframe, choose an interval from the dropdown field below. To indicate an Absolute timeframe, select the exact Start time and End time from the calendar buttons that are provided

  • Bot: Filter your view to any single bot within your workspace by selecting from the bot dropdown. To view logs across all bots, you can click the “x” on the right of the field to clear the bot filter

  • Region: Gives you the option of narrowing your view geographically. Select EU from the dropdown to view only logs based on data gathered within the European Union. Otherwise, leave the default selection at Global to include all logs. You can click on the “x” on the right of the field to clear the filter

  • Conversation ID, Correlation ID, and User ID: You can enter ID numbers in the text fields to filter for Conversation, Correlation, and/or User

Once you've made your selections, the filtered results will automatically populate in the results.


Results

Each row of results represents an event that happened within a conversation. Click any Event listed within the results to view more advanced details in the modal window that appears from the right:


Event types

EVENT TYPEDESCRIPTION

Action invoked

Initiate a webhook call to an action and results in success or failure response

Action responded

Response to Action invoked call and results in success or failure response

Auto escalation state

Indicates that escalation was triggered in the conversation tree when it hits a default escalation intent

Choice auto traversed

Triggers when there is only one available user choice. instead of prompting the user, the application automatically selects the only choice and moves on with the conversation. You may disable this setting on the User choice node.

Choice selected

User selected from a slot or data request option within the conversation

Condition evaluated

Records conditions in the conversation tree and results in pass/fail & appropriate values

Context attributes modified

Indicates change made to context attributes

Conversation ended

Triggers upon last message sent to user by bot

Conversation escalated

Indicates that an escalation node was hit in the conversation tree

Conversation started

Triggers upon first message received from the user

Default intent retrieval

Indicates that the default intent was triggered

External processing completed

Corresponding external event has been completed

External processing hook invoked

Initiate call for the external event to take place; success/failure

External processing hook responded

Result of the webhook invoked for processing the external event; you can set context using the response

External processing status updated

Sends status of conversation through webhook to external event

Fallback state

Occurs when bot cannot determine how to traverse the conversation flow

Frustration state

Indicates the NLP has identified that the user sentiment is low

Incomprehension state

NLP did not understand what the user said

Intent capture state

Next message to the bot is expected to be an intent

Intent redirection

Conversation flow routes to a different intent

Lifecycle hook invoked

Webhook that is initiated upon defined lifecycle events: Conversation start, Conversation end, Escalation, Stream state modifications

Lifecycle hook responsed

Response of the lifecycle webhook call

NLP invoked

Request is sent to the NLP

NLP responsed

Response from the NLP

NLU request received

A message from the user to the NLU

NLU responded

The response to a user request to the NLU

Node met all conditions

During node traversal, this indicates the node conditions passed and traversal will occur

Node traversal

Indicates what node is currently being visited

Repeat state

Indicates the user has repeated themselves

Spell auto correction

Indicates the bot has auto-correct enabled and records the result of the auto-correction logic

State created

Indicates the conversation state has been created. Occurs during conversation initialization

State retrieved from cache

Indicates the conversation state existed in cache. Occurs when conversation had already been started by a previous message

State shared with voicecompass

Indicates bot is connected to a voice compass journey assistant and context variables have been shared with the journey assistant

State values ejected

Indicates values are being cleared from the conversation state. Includes names of values being ejected

Subtree traversal

Indicates what page is currently being visited in an intent flow

Variable resolution failed

Triggers if there are unresolved variables or if an error message occurs due to an invalid webhook or technical error

Variables requested

Initiate a data request webhook call to a variable. Expected response is an object

Variables returned

Records what has been resolved as part of a data request webhook call

Wait state

For Amazon Connect, indicates the bot is waiting for input

Webhook response validation failed

Occurs when there is an invalid payload from the webhook and the handling is unknown

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