Viewing text logs in Amazon CloudWatch Logs from Lex V2 - Amazon Lex

Viewing text logs in Amazon CloudWatch Logs from Lex V2

Amazon Lex V2 stores text logs for your conversations in Amazon CloudWatch Logs. To view the logs, use the CloudWatch Logs console or API. For more information, see Search Log Data Using Filter Patterns and CloudWatch Logs Insights Query Syntax in the Amazon CloudWatch Logs User Guide.

To view logs using the Amazon Lex V2 console
  1. Open the Amazon Lex V2 console https://console.aws.amazon.com/lexv2.

  2. From the list, choose a bot.

  3. From the left menu, choose Analytics and then choose CloudWatch metrics.

  4. View metrics for your bot on the CloudWatch metrics page.

You can also use the CloudWatch console or API to view your log entries. To find the log entries, navigate to the log group that you configured for the alias. You can find the log stream prefix for your logs in the Amazon Lex V2 console or by using the DescribeBotAlias operation.

Log entries for a user utterance are found in multiple log streams. An utterance in the conversation has an entry in one of the log streams with the specified prefix. An entry in the log stream contains the following information:

message-version

The message schema version.

bot

Details about the bot that the customer is interacting with.

messages

The response that the bot sent back to the user.

utteranceContext

Information about processing this utterance.

sessionState

The current state of the conversation between the user and the bot. For more information, see Understanding bot conversations.

interpretations

A list of intents that Amazon Lex V2 determined could satisfy the user's utterance. Using confidence scores to improve conversation accuracy.

interpretationSource

Indicates whether a slot is resolved by Amazon Lex or Amazon Bedrock. Values: Lex | Bedrock

sessionId

The identifier of the user session that is having the conversation.

inputTranscript

A transcription of the input from the user.

  • For text input, this is the text that the user typed. For DTMF input, this is the key that the user input.

  • For speech input, this is the text to which Amazon Lex V2 converts the user utterance in order to invoke an intent or fill a slot.

rawInputTranscript

The raw transcript of the user input before any text processing is applied. Note: Text processing is only for en-US and en-GB locales.

transcriptions

A list of potential transcriptions of the user's input. For more information, see Using voice transcription confidence scores to improve conversations with your Lex V2 bot.

rawTranscription

Using voice transcription confidence scores. For more information, see Using voice transcription confidence scores to improve conversations with your Lex V2 bot.

missedUtterance

Indicates whether Amazon Lex V2 was able to recognize the user's utterance.

requestId

Amazon Lex V2 generated request ID for the user input.

timestamp

The timestamp of the user's input.

developerOverride

Indicates whether the conversation flow was updated using a dialog code hook. For more information on using a dialog code hook, see Integrating an AWS Lambda function into your bot.

inputMode

Indicates the type of input. Can be audio, DTMF, or text.

requestAttributes

The request attributes used when processing the user's input.

audioProperties

If audio conversation logs are enabled and the user input was in audio format, includes the total duration of the audio input, the duration of voice and the duration of silence in the audio. It also includes a link to the audio file.

bargeIn

Indicates whether the user input interrupted the previous bot response.

responseReason

The reason a response was generated. Can be one of:

  • UtteranceResponse – response to user input

  • StartTimeout – server generated response when the user didn't provide input

  • StillWaitingResponse – server generated response when the user requests the bot wait

  • FulfillmentInitiated – server generated response that fulfillment is about to be initiated

  • FulfillmentStartedResponse – server generated response that fulfillment has begun

  • FulfillmentUpdateResponse – periodic server generated response while fulfillment is in progress

  • FulfillmentCompletedResponse – server generated response when fulfillment is complete.

operationName

The API used to interact with the bot. Can be one of PutSession, RecognizeText, RecognizeUtterance, or StartConversation.

{ "message-version": "2.0", "bot": { "id": "string", "name": "string", "aliasId": "string", "aliasName": "string", "localeId": "string", "version": "string" }, "messages": [ { "contentType": "PlainText | SSML | CustomPayload | ImageResponseCard", "content": "string", "imageResponseCard": { "title": "string", "subtitle": "string", "imageUrl": "string", "buttonsList": [ { "text": "string", "value": "string" } ] } } ], "utteranceContext": { "activeRuntimeHints": { "slotHints": { "string": { "string": { "runtimeHintValues": [ { "phrase": "string" }, { "phrase": "string" } ] } } } }, "slotElicitationStyle": "string" }, "sessionState": { "dialogAction": { "type": "Close | ConfirmIntent | Delegate | ElicitIntent | ElicitSlot", "slotToElicit": "string" }, "intent": { "name": "string", "slots": { "string": { "value": { "interpretedValue": "string", "originalValue": "string", "resolvedValues": [ "string" ] } }, "string": { "shape": "List", "value": { "originalValue": "string", "interpretedValue": "string", "resolvedValues": [ "string" ] }, "values": [ { "shape": "Scalar", "value": { "originalValue": "string", "interpretedValue": "string", "resolvedValues": [ "string" ] } }, { "shape": "Scalar", "value": { "originalValue": "string", "interpretedValue": "string", "resolvedValues": [ "string" ] } } ] } }, "kendraResponse": { // Only present when intent is KendraSearchIntent. For details, see // https://docs.aws.amazon.com/kendra/latest/dg/API_Query.html#API_Query_ResponseSyntax }, "state": "InProgress | ReadyForFulfillment | Fulfilled | Failed", "confirmationState": "Confirmed | Denied | None" }, "originatingRequestId": "string", "sessionAttributes": { "string": "string" }, "runtimeHints": { "slotHints": { "string": { "string": { "runtimeHintValues": [ { "phrase": "string" }, { "phrase": "string" } ] } } } } }, "dialogEventLogs": [ { // only for conditional "conditionalEvaluationResult":[ // all the branches until true { "conditionalBranchName": "string", "expressionString": "string", "evaluatedExpression": "string", "evaluationResult": "true | false" } ], "dialogCodeHookInvocationLabel": "string", "response": "string", "nextStep": { "dialogAction": { "type": "Close | ConfirmIntent | Delegate | ElicitIntent | ElicitSlot", "slotToElicit": "string" }, "intent": { "name": "string", "slots": { } } } ] "interpretations": [ { "interpretationSource": "Bedrock | Lex", "nluConfidence": "string", "intent": { "name": "string", "slots": { "string": { "value": { "originalValue": "string", "interpretedValue": "string", "resolvedValues": [ "string" ] } }, "string": { "shape": "List", "value": { "interpretedValue": "string", "originalValue": "string", "resolvedValues": [ "string" ] }, "values": [ { "shape": "Scalar", "value": { "interpretedValue": "string", "originalValue": "string", "resolvedValues": [ "string" ] } }, { "shape": "Scalar", "value": { "interpretedValue": "string", "originalValue": "string", "resolvedValues": [ "string" ] } } ] } }, "kendraResponse": { // Only present when intent is KendraSearchIntent. For details, see // https://docs.aws.amazon.com/kendra/latest/dg/API_Query.html#API_Query_ResponseSyntax }, "state": "InProgress | ReadyForFulfillment | Fulfilled | Failed", "confirmationState": "Confirmed | Denied | None" }, "sentimentResponse": { "sentiment": "string", "sentimentScore": { "positive": "string", "negative": "string", "neutral": "string", "mixed": "string" } } } ], "sessionId": "string", "inputTranscript": "string", "rawInputTranscript": "string", "transcriptions": [ { "transcription": "string", "rawTranscription": "string", "transcriptionConfidence": "number", }, "resolvedContext": { "intent": "string" }, "resolvedSlots": { "string": { "name": "slotName", "shape": "List", "value": { "originalValue": "string", "resolvedValues": [ "string" ] } } } } ], "missedUtterance": "bool", "requestId": "string", "timestamp": "string", "developerOverride": "bool", "inputMode": "DTMF | Speech | Text", "requestAttributes": { "string": "string" }, "audioProperties": { "contentType": "string", "s3Path": "string", "duration": { "total": "integer", "voice": "integer", "silence": "integer" } }, "bargeIn": "string", "responseReason": "string", "operationName": "string" }

The contents of the log entry depend on the result of a transaction and the configuration of the bot and request.

  • The intent, slots, and slotToElicit fields don't appear in an entry if the missedUtterance field is true.

  • The s3PathForAudio field doesn't appear if audio logs are disabled or if the inputDialogModefield is Text.

  • The responseCard field only appears when you have defined a response card for the bot.

  • The requestAttributes map only appears if you have specified request attributes in the request.

  • The kendraResponse field is only present when the AMAZON.KendraSearchIntent makes a request to search an Amazon Kendra index.

  • The developerOverride field is true when an alternative intent was specified in the bot's Lambda function.

  • The sessionAttributes map only appears if you have specified session attributes in the request.

  • The sentimentResponse map only appears if you configure the bot to return sentiment values.

Note

The input format may change without a corresponding change in the messageVersion. Your code should not throw an error if new fields are present.