Index
Agents(interface)Contexts(interface)EntityTypes(interface)Intents(interface)SessionEntityTypes(interface)Sessions(interface)Agent(message)Agent.MatchMode(enum)AudioEncoding(enum)BatchCreateEntitiesRequest(message)BatchDeleteEntitiesRequest(message)BatchDeleteEntityTypesRequest(message)BatchDeleteIntentsRequest(message)BatchUpdateEntitiesRequest(message)BatchUpdateEntityTypesRequest(message)BatchUpdateEntityTypesResponse(message)BatchUpdateIntentsRequest(message)BatchUpdateIntentsResponse(message)Context(message)CreateContextRequest(message)CreateEntityTypeRequest(message)CreateIntentRequest(message)CreateSessionEntityTypeRequest(message)DeleteAllContextsRequest(message)DeleteContextRequest(message)DeleteEntityTypeRequest(message)DeleteIntentRequest(message)DeleteSessionEntityTypeRequest(message)DetectIntentRequest(message)DetectIntentResponse(message)EntityType(message)EntityType.AutoExpansionMode(enum)EntityType.Entity(message)EntityType.Kind(enum)EntityTypeBatch(message)EventInput(message)ExportAgentRequest(message)ExportAgentResponse(message)GetAgentRequest(message)GetContextRequest(message)GetEntityTypeRequest(message)GetIntentRequest(message)GetSessionEntityTypeRequest(message)ImportAgentRequest(message)InputAudioConfig(message)Intent(message)Intent.FollowupIntentInfo(message)Intent.Message(message)Intent.Message.BasicCard(message)Intent.Message.BasicCard.Button(message)Intent.Message.BasicCard.Button.OpenUriAction(message)Intent.Message.Card(message)Intent.Message.Card.Button(message)Intent.Message.CarouselSelect(message)Intent.Message.CarouselSelect.Item(message)Intent.Message.Image(message)Intent.Message.LinkOutSuggestion(message)Intent.Message.ListSelect(message)Intent.Message.ListSelect.Item(message)Intent.Message.Platform(enum)Intent.Message.QuickReplies(message)Intent.Message.SelectItemInfo(message)Intent.Message.SimpleResponse(message)Intent.Message.SimpleResponses(message)Intent.Message.Suggestion(message)Intent.Message.Suggestions(message)Intent.Message.Text(message)Intent.Parameter(message)Intent.TrainingPhrase(message)Intent.TrainingPhrase.Part(message)Intent.TrainingPhrase.Type(enum)Intent.WebhookState(enum)IntentBatch(message)IntentView(enum)ListContextsRequest(message)ListContextsResponse(message)ListEntityTypesRequest(message)ListEntityTypesResponse(message)ListIntentsRequest(message)ListIntentsResponse(message)ListSessionEntityTypesRequest(message)ListSessionEntityTypesResponse(message)OriginalDetectIntentRequest(message)QueryInput(message)QueryParameters(message)QueryResult(message)RestoreAgentRequest(message)SearchAgentsRequest(message)SearchAgentsResponse(message)SessionEntityType(message)SessionEntityType.EntityOverrideMode(enum)StreamingDetectIntentRequest(message)StreamingDetectIntentResponse(message)StreamingRecognitionResult(message)StreamingRecognitionResult.MessageType(enum)TextInput(message)TrainAgentRequest(message)UpdateContextRequest(message)UpdateEntityTypeRequest(message)UpdateIntentRequest(message)UpdateSessionEntityTypeRequest(message)WebhookRequest(message)WebhookResponse(message)
Agents
Agents are best described as Natural Language Understanding (NLU) modules that transform user requests into actionable data. You can include agents in your app, product, or service to determine user intent and respond to the user in a natural way.
After you create an agent, you can add Intents, Contexts, Entity Types, Webhooks, and so on to manage the flow of a conversation and match user input to predefined intents and actions.
You can create an agent using both Dialogflow Standard Edition and Dialogflow Enterprise Edition. For details, see Dialogflow Editions.
You can save your agent for backup or versioning by exporting the agent by using the ExportAgent method. You can import a saved agent by using the ImportAgent method.
Dialogflow provides several prebuilt agents for common conversation scenarios such as determining a date and time, converting currency, and so on.
For more information about agents, see the Dialogflow documentation.
| ExportAgent | |
|---|---|
|
Exports the specified agent to a ZIP file. Operation <response:
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| GetAgent | |
|---|---|
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Retrieves the specified agent.
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| ImportAgent | |
|---|---|
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Imports the specified agent from a ZIP file. Uploads new intents and entity types without deleting the existing ones. Intents and entity types with the same name are replaced with the new versions from ImportAgentRequest. Operation <response:
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| RestoreAgent | |
|---|---|
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Restores the specified agent from a ZIP file. Replaces the current agent version with a new one. All the intents and entity types in the older version are deleted. Operation <response:
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| SearchAgents | |
|---|---|
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Returns the list of agents. Since there is at most one conversational agent per project, this method is useful primarily for listing all agents across projects the caller has access to. One can achieve that with a wildcard project collection id "-". Refer to List Sub-Collections.
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| TrainAgent | |
|---|---|
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Trains the specified agent. Operation <response:
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Contexts
A context represents additional information included with user input or with an intent returned by the Dialogflow API. Contexts are helpful for differentiating user input which may be vague or have a different meaning depending on additional details from your application such as user setting and preferences, previous user input, where the user is in your application, geographic location, and so on.
You can include contexts as input parameters of a DetectIntent (or StreamingDetectIntent) request, or as output contexts included in the returned intent. Contexts expire when an intent is matched, after the number of DetectIntent requests specified by the lifespan_count parameter, or after 20 minutes if no intents are matched for a DetectIntent request.
For more information about contexts, see the Dialogflow documentation.
| CreateContext | |
|---|---|
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Creates a context. If the specified context already exists, overrides the context.
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| DeleteAllContexts | |
|---|---|
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Deletes all active contexts in the specified session.
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| DeleteContext | |
|---|---|
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Deletes the specified context.
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| GetContext | |
|---|---|
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Retrieves the specified context.
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| ListContexts | |
|---|---|
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Returns the list of all contexts in the specified session.
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| UpdateContext | |
|---|---|
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Updates the specified context.
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EntityTypes
Entities are extracted from user input and represent parameters that are meaningful to your application. For example, a date range, a proper name such as a geographic location or landmark, and so on. Entities represent actionable data for your application.
When you define an entity, you can also include synonyms that all map to that entity. For example, "soft drink", "soda", "pop", and so on.
There are three types of entities:
System - entities that are defined by the Dialogflow API for common data types such as date, time, currency, and so on. A system entity is represented by the
EntityTypetype.Developer - entities that are defined by you that represent actionable data that is meaningful to your application. For example, you could define a
pizza.sauceentity for red or white pizza sauce, apizza.cheeseentity for the different types of cheese on a pizza, apizza.toppingentity for different toppings, and so on. A developer entity is represented by theEntityTypetype.User - entities that are built for an individual user such as favorites, preferences, playlists, and so on. A user entity is represented by the
SessionEntityTypetype.
For more information about entity types, see the Dialogflow documentation.
| BatchCreateEntities | |
|---|---|
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Creates multiple new entities in the specified entity type. Operation <response:
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| BatchDeleteEntities | |
|---|---|
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Deletes entities in the specified entity type. Operation <response:
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| BatchDeleteEntityTypes | |
|---|---|
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Deletes entity types in the specified agent. Operation <response:
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| BatchUpdateEntities | |
|---|---|
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Updates or creates multiple entities in the specified entity type. This method does not affect entities in the entity type that aren't explicitly specified in the request. Operation <response:
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| BatchUpdateEntityTypes | |
|---|---|
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Updates/Creates multiple entity types in the specified agent. Operation <response:
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| CreateEntityType | |
|---|---|
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Creates an entity type in the specified agent.
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| DeleteEntityType | |
|---|---|
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Deletes the specified entity type.
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| GetEntityType | |
|---|---|
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Retrieves the specified entity type.
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| ListEntityTypes | |
|---|---|
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Returns the list of all entity types in the specified agent.
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| UpdateEntityType | |
|---|---|
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Updates the specified entity type.
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Intents
An intent represents a mapping between input from a user and an action to be taken by your application. When you pass user input to the DetectIntent (or StreamingDetectIntent) method, the Dialogflow API analyzes the input and searches for a matching intent. If no match is found, the Dialogflow API returns a fallback intent (is_fallback = true).
You can provide additional information for the Dialogflow API to use to match user input to an intent by adding the following to your intent.
Contexts - provide additional context for intent analysis. For example, if an intent is related to an object in your application that plays music, you can provide a context to determine when to match the intent if the user input is "turn it off". You can include a context that matches the intent when there is previous user input of "play music", and not when there is previous user input of "turn on the light".
Events - allow for matching an intent by using an event name instead of user input. Your application can provide an event name and related parameters to the Dialogflow API to match an intent. For example, when your application starts, you can send a welcome event with a user name parameter to the Dialogflow API to match an intent with a personalized welcome message for the user.
Training phrases - provide examples of user input to train the Dialogflow API agent to better match intents.
For more information about intents, see the Dialogflow documentation.
| BatchDeleteIntents | |
|---|---|
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Deletes intents in the specified agent. Operation <response:
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| BatchUpdateIntents | |
|---|---|
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Updates/Creates multiple intents in the specified agent. Operation <response:
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| CreateIntent | |
|---|---|
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Creates an intent in the specified agent.
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| DeleteIntent | |
|---|---|
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Deletes the specified intent and its direct or indirect followup intents.
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| GetIntent | |
|---|---|
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Retrieves the specified intent.
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| ListIntents | |
|---|---|
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Returns the list of all intents in the specified agent.
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| UpdateIntent | |
|---|---|
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Updates the specified intent.
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SessionEntityTypes
Entities are extracted from user input and represent parameters that are meaningful to your application. For example, a date range, a proper name such as a geographic location or landmark, and so on. Entities represent actionable data for your application.
Session entity types are referred to as User entity types and are entities that are built for an individual user such as favorites, preferences, playlists, and so on. You can redefine a session entity type at the session level.
For more information about entity types, see the Dialogflow documentation.
| CreateSessionEntityType | |
|---|---|
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Creates a session entity type. If the specified session entity type already exists, overrides the session entity type.
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| DeleteSessionEntityType | |
|---|---|
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Deletes the specified session entity type.
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| GetSessionEntityType | |
|---|---|
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Retrieves the specified session entity type.
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| ListSessionEntityTypes | |
|---|---|
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Returns the list of all session entity types in the specified session.
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| UpdateSessionEntityType | |
|---|---|
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Updates the specified session entity type.
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Sessions
A session represents an interaction with a user. You retrieve user input and pass it to the DetectIntent (or StreamingDetectIntent) method to determine user intent and respond.
| DetectIntent | |
|---|---|
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Processes a natural language query and returns structured, actionable data as a result. This method is not idempotent, because it may cause contexts and session entity types to be updated, which in turn might affect results of future queries.
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| StreamingDetectIntent | |
|---|---|
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Processes a natural language query in audio format in a streaming fashion and returns structured, actionable data as a result. This method is only available via the gRPC API (not REST).
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Agent
Represents a conversational agent.
| Fields | |
|---|---|
parent |
Required. The project of this agent. Format: |
display_name |
Required. The name of this agent. |
default_language_code |
Required. The default language of the agent as a language tag. See Language Support for a list of the currently supported language codes. This field cannot be set by the |
supported_language_codes[] |
Optional. The list of all languages supported by this agent (except for the |
time_zone |
Required. The time zone of this agent from the time zone database, e.g., America/New_York, Europe/Paris. |
description |
Optional. The description of this agent. The maximum length is 500 characters. If exceeded, the request is rejected. |
avatar_uri |
Optional. The URI of the agent's avatar. Avatars are used throughout the Dialogflow console and in the self-hosted Web Demo integration. |
enable_logging |
Optional. Determines whether this agent should log conversation queries. |
match_mode |
Optional. Determines how intents are detected from user queries. |
classification_threshold |
Optional. To filter out false positive results and still get variety in matched natural language inputs for your agent, you can tune the machine learning classification threshold. If the returned score value is less than the threshold value, then a fallback intent will be triggered or, if there are no fallback intents defined, no intent will be triggered. The score values range from 0.0 (completely uncertain) to 1.0 (completely certain). If set to 0.0, the default of 0.3 is used. |
MatchMode
Match mode determines how intents are detected from user queries.
| Enums | |
|---|---|
MATCH_MODE_UNSPECIFIED |
Not specified. |
MATCH_MODE_HYBRID |
Best for agents with a small number of examples in intents and/or wide use of templates syntax and composite entities. |
MATCH_MODE_ML_ONLY |
Can be used for agents with a large number of examples in intents, especially the ones using @sys.any or very large developer entities. |
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. sample_rate_hertz must be 8000. |
AUDIO_ENCODING_AMR_WB |
Adaptive Multi-Rate Wideband codec. sample_rate_hertz must be 16000. |
AUDIO_ENCODING_OGG_OPUS |
Opus encoded audio frames in Ogg container (OggOpus). sample_rate_hertz 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. sample_rate_hertz must be 16000. |
BatchCreateEntitiesRequest
The request message for EntityTypes.BatchCreateEntities.
| Fields | |
|---|---|
parent |
Required. The name of the entity type to create entities in. Format: Authorization requires the following Google IAM permission on the specified resource
|
entities[] |
Required. The entities to create. |
language_code |
Optional. The language of entity synonyms defined in |
BatchDeleteEntitiesRequest
The request message for EntityTypes.BatchDeleteEntities.
| Fields | |
|---|---|
parent |
Required. The name of the entity type to delete entries for. Format: Authorization requires the following Google IAM permission on the specified resource
|
entity_values[] |
Required. The canonical |
language_code |
Optional. The language of entity synonyms defined in |
BatchDeleteEntityTypesRequest
The request message for EntityTypes.BatchDeleteEntityTypes.
| Fields | |
|---|---|
parent |
Required. The name of the agent to delete all entities types for. Format: Authorization requires the following Google IAM permission on the specified resource
|
entity_type_names[] |
Required. The names entity types to delete. All names must point to the same agent as |
BatchDeleteIntentsRequest
The request message for Intents.BatchDeleteIntents.
| Fields | |
|---|---|
parent |
Required. The name of the agent to delete all entities types for. Format: Authorization requires the following Google IAM permission on the specified resource
|
intents[] |
Required. The collection of intents to delete. Only intent |
BatchUpdateEntitiesRequest
The request message for EntityTypes.BatchUpdateEntities.
| Fields | |
|---|---|
parent |
Required. The name of the entity type to update or create entities in. Format: Authorization requires the following Google IAM permission on the specified resource
|
entities[] |
Required. The entities to update or create. |
language_code |
Optional. The language of entity synonyms defined in |
update_mask |
Optional. The mask to control which fields get updated. |
BatchUpdateEntityTypesRequest
The request message for EntityTypes.BatchUpdateEntityTypes.
| Fields | ||
|---|---|---|
parent |
Required. The name of the agent to update or create entity types in. Format: Authorization requires the following Google IAM permission on the specified resource
|
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language_code |
Optional. The language of entity synonyms defined in |
|
update_mask |
Optional. The mask to control which fields get updated. |
|
Union field For each entity type in the batch:
|
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entity_type_batch_uri |
The URI to a Google Cloud Storage file containing entity types to update or create. The file format can either be a serialized proto (of EntityBatch type) or a JSON object. Note: The URI must start with "gs://". |
|
entity_type_batch_inline |
The collection of entity types to update or create. |
|
BatchUpdateEntityTypesResponse
The response message for EntityTypes.BatchUpdateEntityTypes.
| Fields | |
|---|---|
entity_types[] |
The collection of updated or created entity types. |
BatchUpdateIntentsRequest
The request message for Intents.BatchUpdateIntents.
| Fields | ||
|---|---|---|
parent |
Required. The name of the agent to update or create intents in. Format: Authorization requires the following Google IAM permission on the specified resource
|
|
language_code |
Optional. The language of training phrases, parameters and rich messages defined in |
|
update_mask |
Optional. The mask to control which fields get updated. |
|
intent_view |
Optional. The resource view to apply to the returned intent. |
|
Union field intent_batch. Required. The source of the intent batch. intent_batch can be only one of the following: |
||
intent_batch_uri |
The URI to a Google Cloud Storage file containing intents to update or create. The file format can either be a serialized proto (of IntentBatch type) or JSON object. Note: The URI must start with "gs://". |
|
intent_batch_inline |
The collection of intents to update or create. |
|
BatchUpdateIntentsResponse
The response message for Intents.BatchUpdateIntents.
| Fields | |
|---|---|
intents[] |
The collection of updated or created intents. |
Context
Represents a context.
| Fields | |
|---|---|
name |
Required. The unique identifier of the context. Format: The |
lifespan_count |
Optional. The number of conversational query requests after which the context expires. If set to |
parameters |
Optional. The collection of parameters associated with this context. Refer to this doc for syntax. |
CreateContextRequest
The request message for Contexts.CreateContext.
| Fields | |
|---|---|
parent |
Required. The session to create a context for. Format: Authorization requires the following Google IAM permission on the specified resource
|
context |
Required. The context to create. |
CreateEntityTypeRequest
The request message for EntityTypes.CreateEntityType.
| Fields | |
|---|---|
parent |
Required. The agent to create a entity type for. Format: Authorization requires the following Google IAM permission on the specified resource
|
entity_type |
Required. The entity type to create. |
language_code |
Optional. The language of entity synonyms defined in |
CreateIntentRequest
The request message for Intents.CreateIntent.
| Fields | |
|---|---|
parent |
Required. The agent to create a intent for. Format: Authorization requires the following Google IAM permission on the specified resource
|
intent |
Required. The intent to create. |
language_code |
Optional. The language of training phrases, parameters and rich messages defined in |
intent_view |
Optional. The resource view to apply to the returned intent. |
CreateSessionEntityTypeRequest
The request message for SessionEntityTypes.CreateSessionEntityType.
| Fields | |
|---|---|
parent |
Required. The session to create a session entity type for. Format: Authorization requires the following Google IAM permission on the specified resource
|
session_entity_type |
Required. The session entity type to create. |
DeleteAllContextsRequest
The request message for Contexts.DeleteAllContexts.
| Fields | |
|---|---|
parent |
Required. The name of the session to delete all contexts from. Format: Authorization requires the following Google IAM permission on the specified resource
|
DeleteContextRequest
The request message for Contexts.DeleteContext.
| Fields | |
|---|---|
name |
Required. The name of the context to delete. Format: Authorization requires the following Google IAM permission on the specified resource
|
DeleteEntityTypeRequest
The request message for EntityTypes.DeleteEntityType.
| Fields | |
|---|---|
name |
Required. The name of the entity type to delete. Format: Authorization requires the following Google IAM permission on the specified resource
|
DeleteIntentRequest
The request message for Intents.DeleteIntent.
| Fields | |
|---|---|
name |
Required. The name of the intent to delete. If this intent has direct or indirect followup intents, we also delete them. Format: Authorization requires the following Google IAM permission on the specified resource
|
DeleteSessionEntityTypeRequest
The request message for SessionEntityTypes.DeleteSessionEntityType.
| Fields | |
|---|---|
name |
Required. The name of the entity type to delete. Format: Authorization requires the following Google IAM permission on the specified resource
|
DetectIntentRequest
The request to detect user's intent.
| Fields | |
|---|---|
session |
Required. The name of the session this query is sent to. Format: Authorization requires the following Google IAM permission on the specified resource
|
query_params |
Optional. The parameters of this query. |
query_input |
Required. The input specification. It can be set to:
|
input_audio |
Optional. The natural language speech audio to be processed. This field should be populated iff |
DetectIntentResponse
The message returned from the DetectIntent method.
| Fields | |
|---|---|
response_id |
The unique identifier of the response. It can be used to locate a response in the training example set or for reporting issues. |
query_result |
The selected results of the conversational query or event processing. See |
webhook_status |
Specifies the status of the webhook request. |
EntityType
Represents an entity type. Entity types serve as a tool for extracting parameter values from natural language queries.
| Fields | |
|---|---|
name |
The unique identifier of the entity type. Required for |
display_name |
Required. The name of the entity type. |
kind |
Required. Indicates the kind of entity type. |
auto_expansion_mode |
Optional. Indicates whether the entity type can be automatically expanded. |
entities[] |
Optional. The collection of entity entries associated with the entity type. |
AutoExpansionMode
Represents different entity type expansion modes. Automated expansion allows an agent to recognize values that have not been explicitly listed in the entity (for example, new kinds of shopping list items).
| Enums | |
|---|---|
AUTO_EXPANSION_MODE_UNSPECIFIED |
Auto expansion disabled for the entity. |
AUTO_EXPANSION_MODE_DEFAULT |
Allows an agent to recognize values that have not been explicitly listed in the entity. |
Entity
An entity entry for an associated entity type.
| Fields | |
|---|---|
value |
Required. The primary value associated with this entity entry. For example, if the entity type is vegetable, the value could be scallions. For
For
|
synonyms[] |
Required. A collection of value synonyms. For example, if the entity type is vegetable, and For
|
Kind
Represents kinds of entities.
| Enums | |
|---|---|
KIND_UNSPECIFIED |
Not specified. This value should be never used. |
KIND_MAP |
Map entity types allow mapping of a group of synonyms to a canonical value. |
KIND_LIST |
List entity types contain a set of entries that do not map to canonical values. However, list entity types can contain references to other entity types (with or without aliases). |
EntityTypeBatch
This message is a wrapper around a collection of entity types.
| Fields | |
|---|---|
entity_types[] |
A collection of entity types. |
EventInput
Events allow for matching intents by event name instead of the natural language input. For instance, input <event: { name: "welcome_event",
parameters: { name: "Sam" } }> can trigger a personalized welcome response. The parameter name may be used by the agent in the response: "Hello #welcome_event.name! What can I do for you today?".
| Fields | |
|---|---|
name |
Required. The unique identifier of the event. |
parameters |
Optional. The collection of parameters associated with the event. |
language_code |
Required. The language of this query. 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. |
ExportAgentRequest
The request message for Agents.ExportAgent.
| Fields | |
|---|---|
parent |
Required. The project that the agent to export is associated with. Format: Authorization requires the following Google IAM permission on the specified resource
|
agent_uri |
Optional. The Google Cloud Storage URI to export the agent to. The format of this URI must be |
ExportAgentResponse
The response message for Agents.ExportAgent.
| Fields | ||
|---|---|---|
Union field agent. Required. The exported agent. agent can be only one of the following: |
||
agent_uri |
The URI to a file containing the exported agent. This field is populated only if |
|
agent_content |
The exported agent. Example for how to export an agent to a zip file via a command line: curl \
'https://dialogflow.googleapis.com/v2/projects/<project_name>/agent:export'\
-X POST \
-H 'Authorization: Bearer '$(gcloud auth application-default
print-access-token) \
-H 'Accept: application/json' \
-H 'Content-Type: application/json' \
--compressed \
--data-binary '{}' \
| grep agentContent | sed -e 's/.*"agentContent": "\([^"]*\)".*/\1/' \
| base64 --decode > <agent zip file>
|
|
GetAgentRequest
The request message for Agents.GetAgent.
| Fields | |
|---|---|
parent |
Required. The project that the agent to fetch is associated with. Format: Authorization requires the following Google IAM permission on the specified resource
|
GetContextRequest
The request message for Contexts.GetContext.
| Fields | |
|---|---|
name |
Required. The name of the context. Format: Authorization requires the following Google IAM permission on the specified resource
|
GetEntityTypeRequest
The request message for EntityTypes.GetEntityType.
| Fields | |
|---|---|
name |
Required. The name of the entity type. Format: Authorization requires the following Google IAM permission on the specified resource
|
language_code |
Optional. The language to retrieve entity synonyms for. If not specified, the agent's default language is used. More than a dozen languages are supported. Note: languages must be enabled in the agent, before they can be used. |
GetIntentRequest
The request message for Intents.GetIntent.
| Fields | |
|---|---|
name |
Required. The name of the intent. Format: Authorization requires the following Google IAM permission on the specified resource
|
language_code |
Optional. The language to retrieve training phrases, parameters and rich messages for. If not specified, the agent's default language is used. More than a dozen languages are supported. Note: languages must be enabled in the agent, before they can be used. |
intent_view |
Optional. The resource view to apply to the returned intent. |
GetSessionEntityTypeRequest
The request message for SessionEntityTypes.GetSessionEntityType.
| Fields | |
|---|---|
name |
Required. The name of the session entity type. Format: Authorization requires the following Google IAM permission on the specified resource
|
ImportAgentRequest
The request message for Agents.ImportAgent.
| Fields | ||
|---|---|---|
parent |
Required. The project that the agent to import is associated with. Format: Authorization requires the following Google IAM permission on the specified resource
|
|
Union field agent. Required. The agent to import. agent can be only one of the following: |
||
agent_uri |
The URI to a Google Cloud Storage file containing the agent to import. Note: The URI must start with "gs://". |
|
agent_content |
The agent to import. Example for how to import an agent via the command line: curl \
'https://dialogflow.googleapis.com/v2/projects/<project_name>/agent:import\
-X POST \
-H 'Authorization: Bearer '$(gcloud auth application-default
print-access-token) \
-H 'Accept: application/json' \
-H 'Content-Type: application/json' \
--compressed \
--data-binary "{
'agentContent': '$(cat <agent zip file> | base64 -w 0)'
}"
|
|
InputAudioConfig
Instructs the speech recognizer how to process the audio content.
| Fields | |
|---|---|
audio_encoding |
Required. Audio encoding of the audio content to process. |
sample_rate_hertz |
Required. Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details. |
language_code |
Required. The language of the supplied audio. Dialogflow does not do translations. 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. |
phrase_hints[] |
Optional. The collection of phrase hints which are used to boost accuracy of speech recognition. Refer to Cloud Speech API documentation for more details. |
Intent
Represents an intent. Intents convert a number of user expressions or patterns into an action. An action is an extraction of a user command or sentence semantics.
| Fields | |
|---|---|
name |
The unique identifier of this intent. Required for |
display_name |
Required. The name of this intent. |
webhook_state |
Optional. Indicates whether webhooks are enabled for the intent. |
priority |
Optional. The priority of this intent. Higher numbers represent higher priorities. If this is zero or unspecified, we use the default priority 500000. Negative numbers mean that the intent is disabled. |
is_fallback |
Optional. Indicates whether this is a fallback intent. |
ml_disabled |
Optional. Indicates whether Machine Learning is disabled for the intent. Note: If |
input_context_names[] |
Optional. The list of context names required for this intent to be triggered. Format: |
events[] |
Optional. The collection of event names that trigger the intent. If the collection of input contexts is not empty, all of the contexts must be present in the active user session for an event to trigger this intent. |
training_phrases[] |
Optional. The collection of examples that the agent is trained on. |
action |
Optional. The name of the action associated with the intent. Note: The action name must not contain whitespaces. |
output_contexts[] |
Optional. The collection of contexts that are activated when the intent is matched. Context messages in this collection should not set the parameters field. Setting the |
reset_contexts |
Optional. Indicates whether to delete all contexts in the current session when this intent is matched. |
parameters[] |
Optional. The collection of parameters associated with the intent. |
messages[] |
Optional. The collection of rich messages corresponding to the |
default_response_platforms[] |
Optional. The list of platforms for which the first response will be taken from among the messages assigned to the DEFAULT_PLATFORM. |
root_followup_intent_name |
Read-only. The unique identifier of the root intent in the chain of followup intents. It identifies the correct followup intents chain for this intent. We populate this field only in the output. Format: |
parent_followup_intent_name |
Read-only after creation. The unique identifier of the parent intent in the chain of followup intents. You can set this field when creating an intent, for example with [CreateIntent][] or [BatchUpdateIntents][], in order to make this intent a followup intent. It identifies the parent followup intent. Format: |
followup_intent_info[] |
Read-only. Information about all followup intents that have this intent as a direct or indirect parent. We populate this field only in the output. |
FollowupIntentInfo
Represents a single followup intent in the chain.
| Fields | |
|---|---|
followup_intent_name |
The unique identifier of the followup intent. Format: |
parent_followup_intent_name |
The unique identifier of the followup intent's parent. Format: |
Message
Corresponds to the Response field in the Dialogflow console.
| Fields | ||
|---|---|---|
platform |
Optional. The platform that this message is intended for. |
|
Union field message. Required. The rich response message. message can be only one of the following: |
||
text |
The text response. |
|
image |
The image response. |
|
quick_replies |
The quick replies response. |
|
card |
The card response. |
|
payload |
Returns a response containing a custom, platform-specific payload. See the Intent.Message.Platform type for a description of the structure that may be required for your platform. |
|
simple_responses |
The voice and text-only responses for Actions on Google. |
|
basic_card |
The basic card response for Actions on Google. |
|
suggestions |
The suggestion chips for Actions on Google. |
|
link_out_suggestion |
The link out suggestion chip for Actions on Google. |
|
list_select |
The list card response for Actions on Google. |
|
carousel_select |
The carousel card response for Actions on Google. |
|
BasicCard
The basic card message. Useful for displaying information.
| Fields | |
|---|---|
title |
Optional. The title of the card. |
subtitle |
Optional. The subtitle of the card. |
formatted_text |
Required, unless image is present. The body text of the card. |
image |
Optional. The image for the card. |
buttons[] |
Optional. The collection of card buttons. |
Button
The button object that appears at the bottom of a card.
| Fields | |
|---|---|
title |
Required. The title of the button. |
open_uri_action |
Required. Action to take when a user taps on the button. |
OpenUriAction
Opens the given URI.
| Fields | |
|---|---|
uri |
Required. The HTTP or HTTPS scheme URI. |
Card
The card response message.
| Fields | |
|---|---|
title |
Optional. The title of the card. |
subtitle |
Optional. The subtitle of the card. |
image_uri |
Optional. The public URI to an image file for the card. |
buttons[] |
Optional. The collection of card buttons. |
Button
Optional. Contains information about a button.
| Fields | |
|---|---|
text |
Optional. The text to show on the button. |
postback |
Optional. The text to send back to the Dialogflow API or a URI to open. |
CarouselSelect
The card for presenting a carousel of options to select from.
| Fields | |
|---|---|
items[] |
Required. Carousel items. |
Item
An item in the carousel.
| Fields | |
|---|---|
info |
Required. Additional info about the option item. |
title |
Required. Title of the carousel item. |
description |
Optional. The body text of the card. |
image |
Optional. The image to display. |
Image
The image response message.
| Fields | |
|---|---|
image_uri |
Optional. The public URI to an image file. |
accessibility_text |
Optional. A text description of the image to be used for accessibility, e.g., screen readers. |
LinkOutSuggestion
The suggestion chip message that allows the user to jump out to the app or website associated with this agent.
| Fields | |
|---|---|
destination_name |
Required. The name of the app or site this chip is linking to. |
uri |
Required. The URI of the app or site to open when the user taps the suggestion chip. |
ListSelect
The card for presenting a list of options to select from.
| Fields | |
|---|---|
title |
Optional. The overall title of the list. |
items[] |
Required. List items. |
Item
An item in the list.
| Fields | |
|---|---|
info |
Required. Additional information about this option. |
title |
Required. The title of the list item. |
description |
Optional. The main text describing the item. |
image |
Optional. The image to display. |
Platform
Represents different platforms that a rich message can be intended for.
| Enums | |
|---|---|
PLATFORM_UNSPECIFIED |
Not specified. |
FACEBOOK |
Facebook. |
SLACK |
Slack. |
TELEGRAM |
Telegram. |
KIK |
Kik. |
SKYPE |
Skype. |
LINE |
Line. |
VIBER |
Viber. |
ACTIONS_ON_GOOGLE |
Actions on Google. When using Actions on Google, you can choose one of the specific Intent.Message types that mention support for Actions on Google, or you can use the advanced Intent.Message.payload field. The payload field provides access to AoG features not available in the specific message types. If using the Intent.Message.payload field, it should have a structure similar to the JSON message shown here. For more information, see Actions on Google Webhook Format {
"expectUserResponse": true,
"isSsml": false,
"noInputPrompts": [],
"richResponse": {
"items": [
{
"simpleResponse": {
"displayText": "hi",
"textToSpeech": "hello"
}
}
],
"suggestions": [
{
"title": "Say this"
},
{
"title": "or this"
}
]
},
"systemIntent": {
"data": {
"@type": "type.googleapis.com/google.actions.v2.OptionValueSpec",
"listSelect": {
"items": [
{
"optionInfo": {
"key": "key1",
"synonyms": [
"key one"
]
},
"title": "must not be empty, but unique"
},
{
"optionInfo": {
"key": "key2",
"synonyms": [
"key two"
]
},
"title": "must not be empty, but unique"
}
]
}
},
"intent": "actions.intent.OPTION"
}
} |
QuickReplies
The quick replies response message.
| Fields | |
|---|---|
title |
Optional. The title of the collection of quick replies. |
quick_replies[] |
Optional. The collection of quick replies. |
SelectItemInfo
Additional info about the select item for when it is triggered in a dialog.
| Fields | |
|---|---|
key |
Required. A unique key that will be sent back to the agent if this response is given. |
synonyms[] |
Optional. A list of synonyms that can also be used to trigger this item in dialog. |
SimpleResponse
The simple response message containing speech or text.
| Fields | |
|---|---|
text_to_speech |
One of text_to_speech or ssml must be provided. The plain text of the speech output. Mutually exclusive with ssml. |
ssml |
One of text_to_speech or ssml must be provided. Structured spoken response to the user in the SSML format. Mutually exclusive with text_to_speech. |
display_text |
Optional. The text to display. |
SimpleResponses
The collection of simple response candidates. This message in QueryResult.fulfillment_messages and WebhookResponse.fulfillment_messages should contain only one SimpleResponse.
| Fields | |
|---|---|
simple_responses[] |
Required. The list of simple responses. |
Suggestion
The suggestion chip message that the user can tap to quickly post a reply to the conversation.
| Fields | |
|---|---|
title |
Required. The text shown the in the suggestion chip. |
Suggestions
The collection of suggestions.
| Fields | |
|---|---|
suggestions[] |
Required. The list of suggested replies. |
Text
The text response message.
| Fields | |
|---|---|
text[] |
Optional. The collection of the agent's responses. |
Parameter
Represents intent parameters.
| Fields | |
|---|---|
name |
The unique identifier of this parameter. |
display_name |
Required. The name of the parameter. |
value |
Optional. The definition of the parameter value. It can be: - a constant string, - a parameter value defined as |
default_value |
Optional. The default value to use when the |
entity_type_display_name |
Optional. The name of the entity type, prefixed with |
mandatory |
Optional. Indicates whether the parameter is required. That is, whether the intent cannot be completed without collecting the parameter value. |
prompts[] |
Optional. The collection of prompts that the agent can present to the user in order to collect value for the parameter. |
is_list |
Optional. Indicates whether the parameter represents a list of values. |
TrainingPhrase
Represents an example that the agent is trained on.
| Fields | |
|---|---|
name |
Output only. The unique identifier of this training phrase. |
type |
Required. The type of the training phrase. |
parts[] |
Required. The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways:
|
times_added_count |
Optional. Indicates how many times this example was added to the intent. Each time a developer adds an existing sample by editing an intent or training, this counter is increased. |
Part
Represents a part of a training phrase.
| Fields | |
|---|---|
text |
Required. The text for this part. |
entity_type |
Optional. The entity type name prefixed with |
alias |
Optional. The parameter name for the value extracted from the annotated part of the example. This field is required for annotated parts of the training phrase. |
user_defined |
Optional. Indicates whether the text was manually annotated. This field is set to true when the Dialogflow Console is used to manually annotate the part. When creating an annotated part with the API, you must set this to true. |
Type
Represents different types of training phrases.
| Enums | |
|---|---|
TYPE_UNSPECIFIED |
Not specified. This value should never be used. |
EXAMPLE |
Examples do not contain @-prefixed entity type names, but example parts can be annotated with entity types. |
TEMPLATE |
Templates are not annotated with entity types, but they can contain @-prefixed entity type names as substrings. Template mode has been deprecated. Example mode is the only supported way to create new training phrases. If you have existing training phrases that you've created in template mode, those will continue to work. |
WebhookState
Represents the different states that webhooks can be in.
| Enums | |
|---|---|
WEBHOOK_STATE_UNSPECIFIED |
Webhook is disabled in the agent and in the intent. |
WEBHOOK_STATE_ENABLED |
Webhook is enabled in the agent and in the intent. |
WEBHOOK_STATE_ENABLED_FOR_SLOT_FILLING |
Webhook is enabled in the agent and in the intent. Also, each slot filling prompt is forwarded to the webhook. |
IntentBatch
This message is a wrapper around a collection of intents.
| Fields | |
|---|---|
intents[] |
A collection of intents. |
IntentView
Represents the options for views of an intent. An intent can be a sizable object. Therefore, we provide a resource view that does not return training phrases in the response by default.
| Enums | |
|---|---|
INTENT_VIEW_UNSPECIFIED |
Training phrases field is not populated in the response. |
INTENT_VIEW_FULL |
All fields are populated. |
ListContextsRequest
The request message for Contexts.ListContexts.
| Fields | |
|---|---|
parent |
Required. The session to list all contexts from. Format: Authorization requires the following Google IAM permission on the specified resource
|
page_size |
Optional. The maximum number of items to return in a single page. By default 100 and at most 1000. |
page_token |
Optional. The next_page_token value returned from a previous list request. |
ListContextsResponse
The response message for Contexts.ListContexts.
| Fields | |
|---|---|
contexts[] |
The list of contexts. There will be a maximum number of items returned based on the page_size field in the request. |
next_page_token |
Token to retrieve the next page of results, or empty if there are no more results in the list. |
ListEntityTypesRequest
The request message for EntityTypes.ListEntityTypes.
| Fields | |
|---|---|
parent |
Required. The agent to list all entity types from. Format: Authorization requires the following Google IAM permission on the specified resource
|
language_code |
Optional. The language to list entity synonyms for. If not specified, the agent's default language is used. More than a dozen languages are supported. Note: languages must be enabled in the agent, before they can be used. |
page_size |
Optional. The maximum number of items to return in a single page. By default 100 and at most 1000. |
page_token |
Optional. The next_page_token value returned from a previous list request. |
ListEntityTypesResponse
The response message for EntityTypes.ListEntityTypes.
| Fields | |
|---|---|
entity_types[] |
The list of agent entity types. There will be a maximum number of items returned based on the page_size field in the request. |
next_page_token |
Token to retrieve the next page of results, or empty if there are no more results in the list. |
ListIntentsRequest
The request message for Intents.ListIntents.
| Fields | |
|---|---|
parent |
Required. The agent to list all intents from. Format: Authorization requires the following Google IAM permission on the specified resource
|
language_code |
Optional. The language to list training phrases, parameters and rich messages for. If not specified, the agent's default language is used. More than a dozen languages are supported. Note: languages must be enabled in the agent before they can be used. |
intent_view |
Optional. The resource view to apply to the returned intent. |
page_size |
Optional. The maximum number of items to return in a single page. By default 100 and at most 1000. |
page_token |
Optional. The next_page_token value returned from a previous list request. |
ListIntentsResponse
The response message for Intents.ListIntents.
| Fields | |
|---|---|
intents[] |
The list of agent intents. There will be a maximum number of items returned based on the page_size field in the request. |
next_page_token |
Token to retrieve the next page of results, or empty if there are no more results in the list. |
ListSessionEntityTypesRequest
The request message for SessionEntityTypes.ListSessionEntityTypes.
| Fields | |
|---|---|
parent |
Required. The session to list all session entity types from. Format: Authorization requires the following Google IAM permission on the specified resource
|
page_size |
Optional. The maximum number of items to return in a single page. By default 100 and at most 1000. |
page_token |
Optional. The next_page_token value returned from a previous list request. |
ListSessionEntityTypesResponse
The response message for SessionEntityTypes.ListSessionEntityTypes.
| Fields | |
|---|---|
session_entity_types[] |
The list of session entity types. There will be a maximum number of items returned based on the page_size field in the request. |
next_page_token |
Token to retrieve the next page of results, or empty if there are no more results in the list. |
OriginalDetectIntentRequest
Represents the contents of the original request that was passed to the [Streaming]DetectIntent call.
| Fields | |
|---|---|
source |
The source of this request, e.g., |
version |
Optional. The version of the protocol used for this request. This field is AoG-specific. |
payload |
Optional. This field is set to the value of the In particular for the Telephony Gateway this field has the form: {
"telephony": {
"caller_id": "+18558363987"
}
}
Note: The caller ID field ( |
QueryInput
Represents the query input. It can contain either:
An audio config which instructs the speech recognizer how to process the speech audio.
A conversational query in the form of text,.
An event that specifies which intent to trigger.
| Fields | ||
|---|---|---|
Union field input. Required. The input specification. input can be only one of the following: |
||
audio_config |
Instructs the speech recognizer how to process the speech audio. |
|
text |
The natural language text to be processed. |
|
event |
The event to be processed. |
|
QueryParameters
Represents the parameters of the conversational query.
| Fields | |
|---|---|
time_zone |
Optional. The time zone of this conversational query from the time zone database, e.g., America/New_York, Europe/Paris. If not provided, the time zone specified in agent settings is used. |
geo_location |
Optional. The geo location of this conversational query. |
contexts[] |
Optional. The collection of contexts to be activated before this query is executed. |
reset_contexts |
Optional. Specifies whether to delete all contexts in the current session before the new ones are activated. |
session_entity_types[] |
Optional. Additional session entity types to replace or extend developer entity types with. The entity synonyms apply to all languages and persist for the session of this query. |
payload |
Optional. This field can be used to pass custom data into the webhook associated with the agent. Arbitrary JSON objects are supported. |
QueryResult
Represents the result of conversational query or event processing.
| Fields | |
|---|---|
query_text |
The original conversational query text: - If natural language text was provided as input, |
language_code |
The language that was triggered during intent detection. See Language Support for a list of the currently supported language codes. |
speech_recognition_confidence |
The Speech recognition confidence between 0.0 and 1.0. A higher number indicates an estimated greater likelihood that the recognized words are correct. The default of 0.0 is a sentinel value indicating that confidence was not set. This field is not guaranteed to be accurate or set. In particular this field isn't set for StreamingDetectIntent since the streaming endpoint has separate confidence estimates per portion of the audio in StreamingRecognitionResult. |
action |
The action name from the matched intent. |
parameters |
The collection of extracted parameters. |
all_required_params_present |
This field is set to: - |
fulfillment_text |
The text to be pronounced to the user or shown on the screen. Note: This is a legacy field, |
fulfillment_messages[] |
The collection of rich messages to present to the user. |
webhook_source |
If the query was fulfilled by a webhook call, this field is set to the value of the |
webhook_payload |
If the query was fulfilled by a webhook call, this field is set to the value of the |
output_contexts[] |
The collection of output contexts. If applicable, |
intent |
The intent that matched the conversational query. Some, not all fields are filled in this message, including but not limited to: |
intent_detection_confidence |
The intent detection confidence. Values range from 0.0 (completely uncertain) to 1.0 (completely certain). If there are |
diagnostic_info |
The free-form diagnostic info. For example, this field could contain webhook call latency. The string keys of the Struct's fields map can change without notice. |
RestoreAgentRequest
The request message for Agents.RestoreAgent.
| Fields | ||
|---|---|---|
parent |
Required. The project that the agent to restore is associated with. Format: Authorization requires the following Google IAM permission on the specified resource
|
|
Union field agent. Required. The agent to restore. agent can be only one of the following: |
||
agent_uri |
The URI to a Google Cloud Storage file containing the agent to restore. Note: The URI must start with "gs://". |
|
agent_content |
The agent to restore. Example for how to restore an agent via the command line: curl \
'https://dialogflow.googleapis.com/v2/projects/<project_name>/agent:restore\
-X POST \
-H 'Authorization: Bearer '$(gcloud auth application-default
print-access-token) \
-H 'Accept: application/json' \
-H 'Content-Type: application/json' \
--compressed \
--data-binary "{
'agentContent': '$(cat <agent zip file> | base64 -w 0)'
}"
|
|
SearchAgentsRequest
The request message for Agents.SearchAgents.
| Fields | |
|---|---|
parent |
Required. The project to list agents from. Format: Authorization requires the following Google IAM permission on the specified resource
|
page_size |
Optional. The maximum number of items to return in a single page. By default 100 and at most 1000. |
page_token |
Optional. The next_page_token value returned from a previous list request. |
SearchAgentsResponse
The response message for Agents.SearchAgents.
| Fields | |
|---|---|
agents[] |
The list of agents. There will be a maximum number of items returned based on the page_size field in the request. |
next_page_token |
Token to retrieve the next page of results, or empty if there are no more results in the list. |
SessionEntityType
Represents a session entity type.
Extends or replaces a developer entity type at the user session level (we refer to the entity types defined at the agent level as "developer entity types").
Note: session entity types apply to all queries, regardless of the language.
| Fields | |
|---|---|
name |
Required. The unique identifier of this session entity type. Format:
|
entity_override_mode |
Required. Indicates whether the additional data should override or supplement the developer entity type definition. |
entities[] |
Required. The collection of entities associated with this session entity type. |
EntityOverrideMode
The types of modifications for a session entity type.
| Enums | |
|---|---|
ENTITY_OVERRIDE_MODE_UNSPECIFIED |
Not specified. This value should be never used. |
ENTITY_OVERRIDE_MODE_OVERRIDE |
The collection of session entities overrides the collection of entities in the corresponding developer entity type. |
ENTITY_OVERRIDE_MODE_SUPPLEMENT |
The collection of session entities extends the collection of entities in the corresponding developer entity type. Note: Even in this override mode calls to |
StreamingDetectIntentRequest
The top-level message sent by the client to the StreamingDetectIntent method.
Multiple request messages should be sent in order:
The first message must contain
session,query_inputplus optionallyquery_paramsand/orsingle_utterance. The message must not containinput_audio.If
query_inputwas set to a streaming input audio config, all subsequent messages must contain onlyinput_audio. Otherwise, finish the request stream.
| Fields | |
|---|---|
session |
Required. The name of the session the query is sent to. Format of the session name: Authorization requires the following Google IAM permission on the specified resource
|
query_params |
Optional. The parameters of this query. |
query_input |
Required. The input specification. It can be set to:
|
single_utterance |
Optional. If |
input_audio |
Optional. The input audio content to be recognized. Must be sent if |
StreamingDetectIntentResponse
The top-level message returned from the StreamingDetectIntent method.
Multiple response messages can be returned in order:
If the input was set to streaming audio, the first one or more messages contain
recognition_result. Eachrecognition_resultrepresents a more complete transcript of what the user said. The lastrecognition_resulthasis_finalset totrue.The next message contains
response_id,query_resultand optionallywebhook_statusif a WebHook was called.
| Fields | |
|---|---|
response_id |
The unique identifier of the response. It can be used to locate a response in the training example set or for reporting issues. |
recognition_result |
The result of speech recognition. |
query_result |
The result of the conversational query or event processing. |
webhook_status |
Specifies the status of the webhook request. |
StreamingRecognitionResult
Contains a speech recognition result corresponding to a portion of the audio that is currently being processed or an indication that this is the end of the single requested utterance.
Example:
transcript: "tube"
transcript: "to be a"
transcript: "to be"
transcript: "to be or not to be" is_final: true
transcript: " that's"
transcript: " that is"
message_type:
MESSAGE_TYPE_END_OF_SINGLE_UTTERANCEtranscript: " that is the question" is_final: true
Only two of the responses contain final results (#4 and #8 indicated by is_final: true). Concatenating these generates the full transcript: "to be or not to be that is the question".
In each response we populate:
for
MESSAGE_TYPE_TRANSCRIPT:transcriptand possiblyis_final.for
MESSAGE_TYPE_END_OF_SINGLE_UTTERANCE: onlymessage_type.
| Fields | |
|---|---|
message_type |
Type of the result message. |
transcript |
Transcript text representing the words that the user spoke. Populated if and only if |
is_final |
If |
confidence |
The Speech confidence between 0.0 and 1.0 for the current portion of audio. A higher number indicates an estimated greater likelihood that the recognized words are correct. The default of 0.0 is a sentinel value indicating that confidence was not set. This field is typically only provided if |
MessageType
Type of the response message.
| Enums | |
|---|---|
MESSAGE_TYPE_UNSPECIFIED |
Not specified. Should never be used. |
TRANSCRIPT |
Message contains a (possibly partial) transcript. |
END_OF_SINGLE_UTTERANCE |
Event indicates that the server has detected the end of the user's speech utterance and expects no additional speech. Therefore, the server will not process additional audio (although it may subsequently return additional results). The client should stop sending additional audio data, half-close the gRPC connection, and wait for any additional results until the server closes the gRPC connection. This message is only sent if single_utterance was set to true, and is not used otherwise. |
TextInput
Represents the natural language text to be processed.
| Fields | |
|---|---|
text |
Required. The UTF-8 encoded natural language text to be processed. Text length must not exceed 256 characters. |
language_code |
Required. The language of this conversational query. 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. |
TrainAgentRequest
The request message for Agents.TrainAgent.
| Fields | |
|---|---|
parent |
Required. The project that the agent to train is associated with. Format: Authorization requires the following Google IAM permission on the specified resource
|
UpdateContextRequest
The request message for Contexts.UpdateContext.
| Fields | |
|---|---|
context |
Required. The context to update. Authorization requires the following Google IAM permission on the specified resource
|
update_mask |
Optional. The mask to control which fields get updated. |
UpdateEntityTypeRequest
The request message for EntityTypes.UpdateEntityType.
| Fields | |
|---|---|
entity_type |
Required. The entity type to update. Authorization requires the following Google IAM permission on the specified resource
|
language_code |
Optional. The language of entity synonyms defined in |
update_mask |
Optional. The mask to control which fields get updated. |
UpdateIntentRequest
The request message for Intents.UpdateIntent.
| Fields | |
|---|---|
intent |
Required. The intent to update. Authorization requires the following Google IAM permission on the specified resource
|
language_code |
Optional. The language of training phrases, parameters and rich messages defined in |
update_mask |
Optional. The mask to control which fields get updated. |
intent_view |
Optional. The resource view to apply to the returned intent. |
UpdateSessionEntityTypeRequest
The request message for SessionEntityTypes.UpdateSessionEntityType.
| Fields | |
|---|---|
session_entity_type |
Required. The entity type to update. Format: Authorization requires the following Google IAM permission on the specified resource
|
update_mask |
Optional. The mask to control which fields get updated. |
WebhookRequest
The request message for a webhook call.
| Fields | |
|---|---|
session |
The unique identifier of detectIntent request session. Can be used to identify end-user inside webhook implementation. Format: |
response_id |
The unique identifier of the response. Contains the same value as |
query_result |
The result of the conversational query or event processing. Contains the same value as |
original_detect_intent_request |
Optional. The contents of the original request that was passed to |
WebhookResponse
The response message for a webhook call.
| Fields | |
|---|---|
fulfillment_text |
Optional. The text to be shown on the screen. This value is passed directly to |
fulfillment_messages[] |
Optional. The collection of rich messages to present to the user. This value is passed directly to |
source |
Optional. This value is passed directly to |
payload |
Optional. This value is passed directly to This field can be used for Actions on Google responses. It should have a structure similar to the JSON message shown here. For more information, see Actions on Google Webhook Format {
"google": {
"expectUserResponse": true,
"richResponse": {
"items": [
{
"simpleResponse": {
"textToSpeech": "this is a simple response"
}
}
]
}
}
}
|
output_contexts[] |
Optional. The collection of output contexts. This value is passed directly to |
followup_event_input |
Optional. Makes the platform immediately invoke another |
