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				74
				75	<h1><a href="dialogflow_v3beta1.html">Dialogflow API</a> . <a href="dialogflow_v3beta1.projects.html">projects</a> . <a href="dialogflow_v3beta1.projects.locations.html">locations</a> . <a href="dialogflow_v3beta1.projects.locations.agents.html">agents</a> . <a href="dialogflow_v3beta1.projects.locations.agents.intents.html">intents</a></h1>
				76	<h2>Instance Methods</h2>
				77	<p class="toc_element">
				78	<code><a href="#close">close()</a></code></p>
				79	<p class="firstline">Close httplib2 connections.</p>
				80	<p class="toc_element">
				81	<code><a href="#create">create(parent, body=None, languageCode=None, x__xgafv=None)</a></code></p>
				82	<p class="firstline">Creates an intent in the specified agent.</p>
				83	<p class="toc_element">
				84	<code><a href="#delete">delete(name, x__xgafv=None)</a></code></p>
				85	<p class="firstline">Deletes the specified intent.</p>
				86	<p class="toc_element">
				87	<code><a href="#get">get(name, languageCode=None, x__xgafv=None)</a></code></p>
				88	<p class="firstline">Retrieves the specified intent.</p>
				89	<p class="toc_element">
				90	<code><a href="#list">list(parent, pageSize=None, intentView=None, languageCode=None, pageToken=None, x__xgafv=None)</a></code></p>
				91	<p class="firstline">Returns the list of all intents in the specified agent.</p>
				92	<p class="toc_element">
				93	<code><a href="#list_next">list_next(previous_request, previous_response)</a></code></p>
				94	<p class="firstline">Retrieves the next page of results.</p>
				95	<p class="toc_element">
				96	<code><a href="#patch">patch(name, body=None, updateMask=None, languageCode=None, x__xgafv=None)</a></code></p>
				97	<p class="firstline">Updates the specified intent.</p>
				98	<h3>Method Details</h3>
				99	<div class="method">
				100	<code class="details" id="close">close()</code>
				101	<pre>Close httplib2 connections.</pre>
				102	</div>
				103
				104	<div class="method">
				105	<code class="details" id="create">create(parent, body=None, languageCode=None, x__xgafv=None)</code>
				106	<pre>Creates an intent in the specified agent.
				107
				108	Args:
				109	parent: string, Required. The agent to create an intent for. Format: `projects//locations//agents/`. (required)
				110	body: object, The request body.
				111	The object takes the form of:
				112
				113	{ # An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent.
				114	"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
				115	"priority": 42, # The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the `Normal` priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.
				116	"isFallback": True or False, # Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.
				117	"name": "A String", # The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: `projects//locations//agents//intents/`.
				118	"trainingPhrases": [ # The collection of training phrases the agent is trained on to identify the intent.
				119	{ # Represents an example that the agent is trained on to identify the intent.
				120	"id": "A String", # Output only. The unique identifier of the training phrase.
				121	"repeatCount": 42, # Indicates how many times this example was added to the intent.
				122	"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 Part.text field set. 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: - `Part.text` is set to a part of the phrase that has no parameters. - `Part.text` is set to a part of the phrase that you want to annotate, and the `parameter_id` field is set.
				123	{ # Represents a part of a training phrase.
				124	"parameterId": "A String", # The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.
				125	"text": "A String", # Required. The text for this part.
				126	},
				127	],
				128	},
				129	],
				130	"parameters": [ # The collection of parameters associated with the intent.
				131	{ # Represents an intent parameter.
				132	"redact": True or False, # Indicates whether the parameter content is logged in text and audio. If it is set to true, the parameter content will be replaced to parameter id in both request and response. The default value is false.
				133	"entityType": "A String", # Required. The entity type of the parameter. Format: `projects/-/locations/-/agents/-/entityTypes/` for system entity types (for example, `projects/-/locations/-/agents/-/entityTypes/sys.date`), or `projects//locations//agents//entityTypes/` for developer entity types.
				134	"id": "A String", # Required. The unique identifier of the parameter. This field is used by training phrases to annotate their parts.
				135	"isList": True or False, # Indicates whether the parameter represents a list of values.
				136	},
				137	],
				138	}
				139
				140	languageCode: string, The language of the following fields in `intent`: * `Intent.training_phrases.parts.text` If not specified, the agent's default language is used. [Many languages](https://cloud.google.com/dialogflow/docs/reference/language) are supported. Note: languages must be enabled in the agent before they can be used.
				141	x__xgafv: string, V1 error format.
				142	Allowed values
				143	1 - v1 error format
				144	2 - v2 error format
				145
				146	Returns:
				147	An object of the form:
				148
				149	{ # An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent.
				150	"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
				151	"priority": 42, # The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the `Normal` priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.
				152	"isFallback": True or False, # Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.
				153	"name": "A String", # The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: `projects//locations//agents//intents/`.
				154	"trainingPhrases": [ # The collection of training phrases the agent is trained on to identify the intent.
				155	{ # Represents an example that the agent is trained on to identify the intent.
				156	"id": "A String", # Output only. The unique identifier of the training phrase.
				157	"repeatCount": 42, # Indicates how many times this example was added to the intent.
				158	"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 Part.text field set. 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: - `Part.text` is set to a part of the phrase that has no parameters. - `Part.text` is set to a part of the phrase that you want to annotate, and the `parameter_id` field is set.
				159	{ # Represents a part of a training phrase.
				160	"parameterId": "A String", # The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.
				161	"text": "A String", # Required. The text for this part.
				162	},
				163	],
				164	},
				165	],
				166	"parameters": [ # The collection of parameters associated with the intent.
				167	{ # Represents an intent parameter.
				168	"redact": True or False, # Indicates whether the parameter content is logged in text and audio. If it is set to true, the parameter content will be replaced to parameter id in both request and response. The default value is false.
				169	"entityType": "A String", # Required. The entity type of the parameter. Format: `projects/-/locations/-/agents/-/entityTypes/` for system entity types (for example, `projects/-/locations/-/agents/-/entityTypes/sys.date`), or `projects//locations//agents//entityTypes/` for developer entity types.
				170	"id": "A String", # Required. The unique identifier of the parameter. This field is used by training phrases to annotate their parts.
				171	"isList": True or False, # Indicates whether the parameter represents a list of values.
				172	},
				173	],
				174	}</pre>
				175	</div>
				176
				177	<div class="method">
				178	<code class="details" id="delete">delete(name, x__xgafv=None)</code>
				179	<pre>Deletes the specified intent.
				180
				181	Args:
				182	name: string, Required. The name of the intent to delete. Format: `projects//locations//agents//intents/`. (required)
				183	x__xgafv: string, V1 error format.
				184	Allowed values
				185	1 - v1 error format
				186	2 - v2 error format
				187
				188	Returns:
				189	An object of the form:
				190
				191	{ # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`.
				192	}</pre>
				193	</div>
				194
				195	<div class="method">
				196	<code class="details" id="get">get(name, languageCode=None, x__xgafv=None)</code>
				197	<pre>Retrieves the specified intent.
				198
				199	Args:
				200	name: string, Required. The name of the intent. Format: `projects//locations//agents//intents/`. (required)
				201	languageCode: string, The language to retrieve the intent for. The following fields are language dependent: * `Intent.training_phrases.parts.text` If not specified, the agent's default language is used. [Many languages](https://cloud.google.com/dialogflow/docs/reference/language) are supported. Note: languages must be enabled in the agent before they can be used.
				202	x__xgafv: string, V1 error format.
				203	Allowed values
				204	1 - v1 error format
				205	2 - v2 error format
				206
				207	Returns:
				208	An object of the form:
				209
				210	{ # An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent.
				211	"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
				212	"priority": 42, # The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the `Normal` priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.
				213	"isFallback": True or False, # Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.
				214	"name": "A String", # The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: `projects//locations//agents//intents/`.
				215	"trainingPhrases": [ # The collection of training phrases the agent is trained on to identify the intent.
				216	{ # Represents an example that the agent is trained on to identify the intent.
				217	"id": "A String", # Output only. The unique identifier of the training phrase.
				218	"repeatCount": 42, # Indicates how many times this example was added to the intent.
				219	"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 Part.text field set. 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: - `Part.text` is set to a part of the phrase that has no parameters. - `Part.text` is set to a part of the phrase that you want to annotate, and the `parameter_id` field is set.
				220	{ # Represents a part of a training phrase.
				221	"parameterId": "A String", # The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.
				222	"text": "A String", # Required. The text for this part.
				223	},
				224	],
				225	},
				226	],
				227	"parameters": [ # The collection of parameters associated with the intent.
				228	{ # Represents an intent parameter.
				229	"redact": True or False, # Indicates whether the parameter content is logged in text and audio. If it is set to true, the parameter content will be replaced to parameter id in both request and response. The default value is false.
				230	"entityType": "A String", # Required. The entity type of the parameter. Format: `projects/-/locations/-/agents/-/entityTypes/` for system entity types (for example, `projects/-/locations/-/agents/-/entityTypes/sys.date`), or `projects//locations//agents//entityTypes/` for developer entity types.
				231	"id": "A String", # Required. The unique identifier of the parameter. This field is used by training phrases to annotate their parts.
				232	"isList": True or False, # Indicates whether the parameter represents a list of values.
				233	},
				234	],
				235	}</pre>
				236	</div>
				237
				238	<div class="method">
				239	<code class="details" id="list">list(parent, pageSize=None, intentView=None, languageCode=None, pageToken=None, x__xgafv=None)</code>
				240	<pre>Returns the list of all intents in the specified agent.
				241
				242	Args:
				243	parent: string, Required. The agent to list all intents for. Format: `projects//locations//agents/`. (required)
				244	pageSize: integer, The maximum number of items to return in a single page. By default 100 and at most 1000.
				245	intentView: string, The resource view to apply to the returned intent.
				246	Allowed values
				247	INTENT_VIEW_UNSPECIFIED - Not specified. Treated as INTENT_VIEW_FULL.
				248	INTENT_VIEW_PARTIAL - Training phrases field is not populated in the response.
				249	INTENT_VIEW_FULL - All fields are populated.
				250	languageCode: string, The language to list intents for. The following fields are language dependent: * `Intent.training_phrases.parts.text` If not specified, the agent's default language is used. [Many languages](https://cloud.google.com/dialogflow/docs/reference/language) are supported. Note: languages must be enabled in the agent before they can be used.
				251	pageToken: string, The next_page_token value returned from a previous list request.
				252	x__xgafv: string, V1 error format.
				253	Allowed values
				254	1 - v1 error format
				255	2 - v2 error format
				256
				257	Returns:
				258	An object of the form:
				259
				260	{ # The response message for Intents.ListIntents.
				261	"intents": [ # The list of intents. There will be a maximum number of items returned based on the page_size field in the request.
				262	{ # An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent.
				263	"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
				264	"priority": 42, # The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the `Normal` priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.
				265	"isFallback": True or False, # Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.
				266	"name": "A String", # The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: `projects//locations//agents//intents/`.
				267	"trainingPhrases": [ # The collection of training phrases the agent is trained on to identify the intent.
				268	{ # Represents an example that the agent is trained on to identify the intent.
				269	"id": "A String", # Output only. The unique identifier of the training phrase.
				270	"repeatCount": 42, # Indicates how many times this example was added to the intent.
				271	"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 Part.text field set. 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: - `Part.text` is set to a part of the phrase that has no parameters. - `Part.text` is set to a part of the phrase that you want to annotate, and the `parameter_id` field is set.
				272	{ # Represents a part of a training phrase.
				273	"parameterId": "A String", # The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.
				274	"text": "A String", # Required. The text for this part.
				275	},
				276	],
				277	},
				278	],
				279	"parameters": [ # The collection of parameters associated with the intent.
				280	{ # Represents an intent parameter.
				281	"redact": True or False, # Indicates whether the parameter content is logged in text and audio. If it is set to true, the parameter content will be replaced to parameter id in both request and response. The default value is false.
				282	"entityType": "A String", # Required. The entity type of the parameter. Format: `projects/-/locations/-/agents/-/entityTypes/` for system entity types (for example, `projects/-/locations/-/agents/-/entityTypes/sys.date`), or `projects//locations//agents//entityTypes/` for developer entity types.
				283	"id": "A String", # Required. The unique identifier of the parameter. This field is used by training phrases to annotate their parts.
				284	"isList": True or False, # Indicates whether the parameter represents a list of values.
				285	},
				286	],
				287	},
				288	],
				289	"nextPageToken": "A String", # Token to retrieve the next page of results, or empty if there are no more results in the list.
				290	}</pre>
				291	</div>
				292
				293	<div class="method">
				294	<code class="details" id="list_next">list_next(previous_request, previous_response)</code>
				295	<pre>Retrieves the next page of results.
				296
				297	Args:
				298	previous_request: The request for the previous page. (required)
				299	previous_response: The response from the request for the previous page. (required)
				300
				301	Returns:
				302	A request object that you can call 'execute()' on to request the next
				303	page. Returns None if there are no more items in the collection.
				304	</pre>
				305	</div>
				306
				307	<div class="method">
				308	<code class="details" id="patch">patch(name, body=None, updateMask=None, languageCode=None, x__xgafv=None)</code>
				309	<pre>Updates the specified intent.
				310
				311	Args:
				312	name: string, The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: `projects//locations//agents//intents/`. (required)
				313	body: object, The request body.
				314	The object takes the form of:
				315
				316	{ # An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent.
				317	"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
				318	"priority": 42, # The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the `Normal` priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.
				319	"isFallback": True or False, # Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.
				320	"name": "A String", # The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: `projects//locations//agents//intents/`.
				321	"trainingPhrases": [ # The collection of training phrases the agent is trained on to identify the intent.
				322	{ # Represents an example that the agent is trained on to identify the intent.
				323	"id": "A String", # Output only. The unique identifier of the training phrase.
				324	"repeatCount": 42, # Indicates how many times this example was added to the intent.
				325	"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 Part.text field set. 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: - `Part.text` is set to a part of the phrase that has no parameters. - `Part.text` is set to a part of the phrase that you want to annotate, and the `parameter_id` field is set.
				326	{ # Represents a part of a training phrase.
				327	"parameterId": "A String", # The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.
				328	"text": "A String", # Required. The text for this part.
				329	},
				330	],
				331	},
				332	],
				333	"parameters": [ # The collection of parameters associated with the intent.
				334	{ # Represents an intent parameter.
				335	"redact": True or False, # Indicates whether the parameter content is logged in text and audio. If it is set to true, the parameter content will be replaced to parameter id in both request and response. The default value is false.
				336	"entityType": "A String", # Required. The entity type of the parameter. Format: `projects/-/locations/-/agents/-/entityTypes/` for system entity types (for example, `projects/-/locations/-/agents/-/entityTypes/sys.date`), or `projects//locations//agents//entityTypes/` for developer entity types.
				337	"id": "A String", # Required. The unique identifier of the parameter. This field is used by training phrases to annotate their parts.
				338	"isList": True or False, # Indicates whether the parameter represents a list of values.
				339	},
				340	],
				341	}
				342
				343	updateMask: string, The mask to control which fields get updated. If the mask is not present, all fields will be updated.
				344	languageCode: string, The language of the following fields in `intent`: * `Intent.training_phrases.parts.text` If not specified, the agent's default language is used. [Many languages](https://cloud.google.com/dialogflow/docs/reference/language) are supported. Note: languages must be enabled in the agent before they can be used.
				345	x__xgafv: string, V1 error format.
				346	Allowed values
				347	1 - v1 error format
				348	2 - v2 error format
				349
				350	Returns:
				351	An object of the form:
				352
				353	{ # An intent represents a user's intent to interact with a conversational agent. You can provide information for the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., examples of user input) to your intent.
				354	"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
				355	"priority": 42, # The priority of this intent. Higher numbers represent higher priorities. - If the supplied value is unspecified or 0, the service translates the value to 500,000, which corresponds to the `Normal` priority in the console. - If the supplied value is negative, the intent is ignored in runtime detect intent requests.
				356	"isFallback": True or False, # Indicates whether this is a fallback intent. Currently only default fallback intent is allowed in the agent, which is added upon agent creation. Adding training phrases to fallback intent is useful in the case of requests that are mistakenly matched, since training phrases assigned to fallback intents act as negative examples that triggers no-match event.
				357	"name": "A String", # The unique identifier of the intent. Required for the Intents.UpdateIntent method. Intents.CreateIntent populates the name automatically. Format: `projects//locations//agents//intents/`.
				358	"trainingPhrases": [ # The collection of training phrases the agent is trained on to identify the intent.
				359	{ # Represents an example that the agent is trained on to identify the intent.
				360	"id": "A String", # Output only. The unique identifier of the training phrase.
				361	"repeatCount": 42, # Indicates how many times this example was added to the intent.
				362	"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 Part.text field set. 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: - `Part.text` is set to a part of the phrase that has no parameters. - `Part.text` is set to a part of the phrase that you want to annotate, and the `parameter_id` field is set.
				363	{ # Represents a part of a training phrase.
				364	"parameterId": "A String", # The parameter used to annotate this part of the training phrase. This field is required for annotated parts of the training phrase.
				365	"text": "A String", # Required. The text for this part.
				366	},
				367	],
				368	},
				369	],
				370	"parameters": [ # The collection of parameters associated with the intent.
				371	{ # Represents an intent parameter.
				372	"redact": True or False, # Indicates whether the parameter content is logged in text and audio. If it is set to true, the parameter content will be replaced to parameter id in both request and response. The default value is false.
				373	"entityType": "A String", # Required. The entity type of the parameter. Format: `projects/-/locations/-/agents/-/entityTypes/` for system entity types (for example, `projects/-/locations/-/agents/-/entityTypes/sys.date`), or `projects//locations//agents//entityTypes/` for developer entity types.
				374	"id": "A String", # Required. The unique identifier of the parameter. This field is used by training phrases to annotate their parts.
				375	"isList": True or False, # Indicates whether the parameter represents a list of values.
				376	},
				377	],
				378	}</pre>
				379	</div>
				380
				381	</body></html>