ConversationTurn

One interaction between a human and virtual agent. The human provides some input and the virtual agent provides a response.

JSON representation 
{
  "userInput": {
    object (UserInput)
  },
  "virtualAgentOutput": {
    object (VirtualAgentOutput)
  }
}
Fields
userInput

object (UserInput)

The user input.
virtualAgentOutput

object (VirtualAgentOutput)

The virtual agent output.

UserInput

The input from the human user.

JSON representation 
{
  "input": {
    object (QueryInput)
  },
  "injectedParameters": {
    object
  },
  "isWebhookEnabled": boolean,
  "enableSentimentAnalysis": boolean
}
Fields
input

object (QueryInput)

Supports text input, event input, dtmf input in the test case.
injectedParameters

object (Struct format)

Parameters that need to be injected into the conversation during intent detection.
isWebhookEnabled

boolean

If webhooks should be allowed to trigger in response to the user utterance. Often if parameters are injected, webhooks should not be enabled.
enableSentimentAnalysis

boolean

Whether sentiment analysis is enabled.

QueryInput

Represents the query input. It can contain one of:

  1. A conversational query in the form of text.

  2. An intent query that specifies which intent to trigger.

  3. Natural language speech audio to be processed.

  4. An event to be triggered.

  5. DTMF digits to invoke an intent and fill in parameter value.

JSON representation 
{
  "languageCode": string,

  // Union field input can be only one of the following:
  "text": {
    object (TextInput)
  },
  "intent": {
    object (IntentInput)
  },
  "audio": {
    object (AudioInput)
  },
  "event": {
    object (EventInput)
  },
  "dtmf": {
    object (DtmfInput)
  }
  // End of list of possible types for union field input.
}
Fields
languageCode

string

Required. The language of the input. See Language Support for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
Union field input. Required. The input specification. input can be only one of the following:
text

object (TextInput)

The natural language text to be processed.
intent

object (IntentInput)

The intent to be triggered.
audio

object (AudioInput)

The natural language speech audio to be processed.
event

object (EventInput)

The event to be triggered.
dtmf

object (DtmfInput)

The DTMF event to be handled.

TextInput

Represents the natural language text to be processed.

JSON representation 
{
  "text": string
}
Fields
text

string

Required. The UTF-8 encoded natural language text to be processed. Text length must not exceed 256 characters.

IntentInput

Represents the intent to trigger programmatically rather than as a result of natural language processing.

JSON representation 
{
  "intent": string
}
Fields
intent

string

Required. The unique identifier of the intent. Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/intents/<Intent ID>.

AudioInput

Represents the natural speech audio to be processed.

JSON representation 
{
  "config": {
    object (InputAudioConfig)
  },
  "audio": string
}
Fields
config

object (InputAudioConfig)

Required. Instructs the speech recognizer how to process the speech audio.
audio

string (bytes format)

The natural language speech audio to be processed. A single request can contain up to 2 minutes of speech audio data. The transcribed text cannot contain more than 256 bytes.

For non-streaming audio detect intent, both config and audio must be provided. For streaming audio detect intent, config must be provided in the first request and audio must be provided in all following requests.

A base64-encoded string.

InputAudioConfig

Instructs the speech recognizer on how to process the audio content.

JSON representation 
{
  "audioEncoding": enum (AudioEncoding),
  "sampleRateHertz": integer,
  "enableWordInfo": boolean,
  "phraseHints": [
    string
  ],
  "model": string,
  "modelVariant": enum (SpeechModelVariant),
  "singleUtterance": boolean
}
Fields
audioEncoding

enum (AudioEncoding)

Required. Audio encoding of the audio content to process.
sampleRateHertz

integer

Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details.
enableWordInfo

boolean

Optional. If true, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
phraseHints[]

string

Optional. A list of strings containing words and phrases that the speech recognizer should recognize with higher likelihood.

See the Cloud Speech documentation for more details.
model

string

Optional. Which Speech model to select for the given request. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then we auto-select a model based on the parameters in the InputAudioConfig. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to Cloud Speech API documentation for more details. If you specify a model, the following models typically have the best performance:

  • phone_call (best for Agent Assist and telephony)
  • latest_short (best for Dialogflow non-telephony)
  • command_and_search (best for very short utterances and commands)
modelVariant

enum (SpeechModelVariant)

Optional. Which variant of the Speech model to use.
singleUtterance

boolean

Optional. If false (default), recognition does not cease until the client closes the stream. If true, the recognizer will detect a single spoken utterance in input audio. Recognition ceases when it detects the audio's voice has stopped or paused. In this case, once a detected intent is received, the client should close the stream and start a new request with a new stream as needed. Note: This setting is relevant only for streaming methods.

AudioEncoding

Audio encoding of the audio content sent in the conversational query request. Refer to the Cloud Speech API documentation for more details.

Enums
AUDIO_ENCODING_UNSPECIFIED Not specified.
AUDIO_ENCODING_LINEAR_16 Uncompressed 16-bit signed little-endian samples (Linear PCM).
AUDIO_ENCODING_FLAC FLAC (Free Lossless Audio Codec) is the recommended encoding because it is lossless (therefore recognition is not compromised) and requires only about half the bandwidth of LINEAR16. FLAC stream encoding supports 16-bit and 24-bit samples, however, not all fields in STREAMINFO are supported.
AUDIO_ENCODING_MULAW 8-bit samples that compand 14-bit audio samples using G.711 PCMU/mu-law.
AUDIO_ENCODING_AMR Adaptive Multi-Rate Narrowband codec. sampleRateHertz must be 8000.
AUDIO_ENCODING_AMR_WB Adaptive Multi-Rate Wideband codec. sampleRateHertz must be 16000.
AUDIO_ENCODING_OGG_OPUS Opus encoded audio frames in Ogg container (OggOpus). sampleRateHertz must be 16000.
AUDIO_ENCODING_SPEEX_WITH_HEADER_BYTE Although the use of lossy encodings is not recommended, if a very low bitrate encoding is required, OGG_OPUS is highly preferred over Speex encoding. The Speex encoding supported by Dialogflow API has a header byte in each block, as in MIME type audio/x-speex-with-header-byte. It is a variant of the RTP Speex encoding defined in RFC 5574. The stream is a sequence of blocks, one block per RTP packet. Each block starts with a byte containing the length of the block, in bytes, followed by one or more frames of Speex data, padded to an integral number of bytes (octets) as specified in RFC 5574. In other words, each RTP header is replaced with a single byte containing the block length. Only Speex wideband is supported. sampleRateHertz must be 16000.

SpeechModelVariant

Variant of the specified Speech model to use.

See the Cloud Speech documentation for which models have different variants. For example, the "phone_call" model has both a standard and an enhanced variant. When you use an enhanced model, you will generally receive higher quality results than for a standard model.

Enums
SPEECH_MODEL_VARIANT_UNSPECIFIED No model variant specified. In this case Dialogflow defaults to USE_BEST_AVAILABLE.
USE_BEST_AVAILABLE

Use the best available variant of the [Speech model][InputAudioConfig.model] that the caller is eligible for.

Please see the Dialogflow docs for how to make your project eligible for enhanced models.
USE_STANDARD Use standard model variant even if an enhanced model is available. See the Cloud Speech documentation for details about enhanced models.
USE_ENHANCED

Use an enhanced model variant:

  • If an enhanced variant does not exist for the given model and request language, Dialogflow falls back to the standard variant.

The Cloud Speech documentation describes which models have enhanced variants.

  • If the API caller isn't eligible for enhanced models, Dialogflow returns an error. Please see the Dialogflow docs for how to make your project eligible.

EventInput

Represents the event to trigger.

JSON representation 
{
  "event": string
}
Fields
event

string

Name of the event.

DtmfInput

Represents the input for dtmf event.

JSON representation 
{
  "digits": string,
  "finishDigit": string
}
Fields
digits

string

The dtmf digits.
finishDigit

string

The finish digit (if any).

VirtualAgentOutput

The output from the virtual agent.

JSON representation 
{
  "sessionParameters": {
    object
  },
  "differences": [
    {
      object (TestRunDifference)
    }
  ],
  "diagnosticInfo": {
    object
  },
  "triggeredIntent": {
    object (Intent)
  },
  "currentPage": {
    object (Page)
  },
  "textResponses": [
    {
      object (Text)
    }
  ],
  "status": {
    object (Status)
  }
}
Fields
sessionParameters

object (Struct format)

The session parameters available to the bot at this point.
differences[]

object (TestRunDifference)

Output only. If this is part of a [result conversation turn][TestCaseResult.conversation_turns], the list of differences between the original run and the replay for this output, if any.
diagnosticInfo

object (Struct format)

Required. Input only. The diagnostic [info][Session.DetectIntentResponse.QueryResult.diagnostic_info] output for the turn. Required to calculate the testing coverage.
triggeredIntent

object (Intent)

The Intent that triggered the response. Only name and displayName will be set.
currentPage

object (Page)

The Page on which the utterance was spoken. Only name and displayName will be set.
textResponses[]

object (Text)

The text responses from the agent for the turn.
status

object (Status)

Response error from the agent in the test result. If set, other output is empty.

TestRunDifference

The description of differences between original and replayed agent output.

JSON representation 
{
  "type": enum (DiffType),
  "description": string
}
Fields
type

enum (DiffType)

The type of diff.
description

string

A human readable description of the diff, showing the actual output vs expected output.

DiffType

What part of the message replay differs from the test case.

Enums
DIFF_TYPE_UNSPECIFIED Should never be used.
INTENT The intent.
PAGE The page.
PARAMETERS The parameters.
UTTERANCE The message utterance.
FLOW The flow.