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.

  6. The results of a tool executed by the client.

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)
  },
  "toolCallResult": {
    object (ToolCallResult)
  }
  // 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.
toolCallResult

object (ToolCallResult)

The results of a tool executed by the client.

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.

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/<ProjectID>/locations/<LocationID>/agents/<AgentID>/intents/<IntentID>.

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,
  "bargeInConfig": {
    object (BargeInConfig)
  },
  "optOutConformerModelMigration": 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. For more information, see Speech models.
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.
bargeInConfig

object (BargeInConfig)

Configuration of barge-in behavior during the streaming of input audio.
optOutConformerModelMigration

boolean

If true, the request will opt out for STT conformer model migration. This field will be deprecated once force migration takes place in June 2024. Please refer to Dialogflow CX Speech model migration.

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.
AUDIO_ENCODING_ALAW 8-bit samples that compand 13-bit audio samples using G.711 PCMU/a-law.

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.
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.

BargeInConfig

Configuration of the barge-in behavior. Barge-in instructs the API to return a detected utterance at a proper time while the client is playing back the response audio from a previous request. When the client sees the utterance, it should stop the playback and immediately get ready for receiving the responses for the current request.

The barge-in handling requires the client to start streaming audio input as soon as it starts playing back the audio from the previous response. The playback is modeled into two phases:

  • No barge-in phase: which goes first and during which speech detection should not be carried out.

  • Barge-in phase: which follows the no barge-in phase and during which the API starts speech detection and may inform the client that an utterance has been detected. Note that no-speech event is not expected in this phase.

The client provides this configuration in terms of the durations of those two phases. The durations are measured in terms of the audio length from the the start of the input audio.

No-speech event is a response with END_OF_UTTERANCE without any transcript following up.

JSON representation 
{
  "noBargeInDuration": string,
  "totalDuration": string
}
Fields
noBargeInDuration

string (Duration format)

Duration that is not eligible for barge-in at the beginning of the input audio.

A duration in seconds with up to nine fractional digits, ending with 's'. Example: "3.5s".
totalDuration

string (Duration format)

Total duration for the playback at the beginning of the input audio.

A duration in seconds with up to nine fractional digits, ending with 's'. Example: "3.5s".

EventInput

Represents the event to trigger.

JSON representation 
{
  "event": string
}
Fields
event

string

Name of the event.

ToolCallResult

The result of calling a tool's action that has been executed by the client.

JSON representation 
{
  "tool": string,
  "action": string,

  // Union field result can be only one of the following:
  "error": {
    object (Error)
  },
  "outputParameters": {
    object
  }
  // End of list of possible types for union field result.
}
Fields
tool

string

Required. The tool associated with this call. Format: projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/tools/<ToolID>.
action

string

Required. The name of the tool's action associated with this call.
Union field result. The tool call's result. result can be only one of the following:
error

object (Error)

The tool call's error.
outputParameters

object (Struct format)

The tool call's output parameters.

Error

An error produced by the tool call.

JSON representation 
{
  "message": string
}
Fields
message

string

Optional. The error message of the function.