docs/dyn/dialogflow_v2.projects.conversations.participants.suggestions.html - platform/external/python/google-api-python-client - Git at Google

 <html><body>
 <style>

 body, h1, h2, h3, div, span, p, pre, a {
   margin: 0;
   padding: 0;
   border: 0;
   font-weight: inherit;
   font-style: inherit;
   font-size: 100%;
   font-family: inherit;
   vertical-align: baseline;
 }

 body {
   font-size: 13px;
   padding: 1em;
 }

 h1 {
   font-size: 26px;
   margin-bottom: 1em;
 }

 h2 {
   font-size: 24px;
   margin-bottom: 1em;
 }

 h3 {
   font-size: 20px;
   margin-bottom: 1em;
   margin-top: 1em;
 }

 pre, code {
   line-height: 1.5;
   font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace;
 }

 pre {
   margin-top: 0.5em;
 }

 h1, h2, h3, p {
   font-family: Arial, sans serif;
 }

 h1, h2, h3 {
   border-bottom: solid #CCC 1px;
 }

 .toc_element {
   margin-top: 0.5em;
 }

 .firstline {
   margin-left: 2 em;
 }

 .method  {
   margin-top: 1em;
   border: solid 1px #CCC;
   padding: 1em;
   background: #EEE;
 }

 .details {
   font-weight: bold;
   font-size: 14px;
 }

 </style>

 <h1><a href="dialogflow_v2.html">Dialogflow API</a> . <a href="dialogflow_v2.projects.html">projects</a> . <a href="dialogflow_v2.projects.conversations.html">conversations</a> . <a href="dialogflow_v2.projects.conversations.participants.html">participants</a> . <a href="dialogflow_v2.projects.conversations.participants.suggestions.html">suggestions</a></h1>
 <h2>Instance Methods</h2>
 <p class="toc_element">
   <code><a href="#close">close()</a></code></p>
 <p class="firstline">Close httplib2 connections.</p>
 <p class="toc_element">
   <code><a href="#suggestArticles">suggestArticles(parent, body=None, x__xgafv=None)</a></code></p>
 <p class="firstline">Gets suggested articles for a participant based on specific historical messages.</p>
 <p class="toc_element">
   <code><a href="#suggestFaqAnswers">suggestFaqAnswers(parent, body=None, x__xgafv=None)</a></code></p>
 <p class="firstline">Gets suggested faq answers for a participant based on specific historical messages.</p>
 <h3>Method Details</h3>
 <div class="method">
     <code class="details" id="close">close()</code>
   <pre>Close httplib2 connections.</pre>
 </div>

 <div class="method">
     <code class="details" id="suggestArticles">suggestArticles(parent, body=None, x__xgafv=None)</code>
   <pre>Gets suggested articles for a participant based on specific historical messages.

 Args:
   parent: string, Required. The name of the participant to fetch suggestion for. Format: `projects//locations//conversations//participants/`. (required)
   body: object, The request body.
     The object takes the form of:

 { # The request message for Participants.SuggestArticles.
   &quot;contextSize&quot;: 42, # Max number of messages prior to and including latest_message to use as context when compiling the suggestion. By default 20 and at most 50.
   &quot;latestMessage&quot;: &quot;A String&quot;, # The name of the latest conversation message to compile suggestion for. If empty, it will be the latest message of the conversation. Format: `projects//locations//conversations//messages/`.
 }

   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
       2 - v2 error format

 Returns:
   An object of the form:

     { # The response message for Participants.SuggestArticles.
   &quot;articleAnswers&quot;: [ # Articles ordered by score in descending order.
     { # Represents article answer.
       &quot;answerRecord&quot;: &quot;A String&quot;, # The name of answer record, in the format of &quot;projects//locations//answerRecords/&quot;
       &quot;confidence&quot;: 3.14, # Article match confidence. The system&#x27;s confidence score that this article is a good match for this conversation, as a value from 0.0 (completely uncertain) to 1.0 (completely certain).
       &quot;metadata&quot;: { # A map that contains metadata about the answer and the document from which it originates.
         &quot;a_key&quot;: &quot;A String&quot;,
       },
       &quot;snippets&quot;: [ # Article snippets.
         &quot;A String&quot;,
       ],
       &quot;title&quot;: &quot;A String&quot;, # The article title.
       &quot;uri&quot;: &quot;A String&quot;, # The article URI.
     },
   ],
   &quot;contextSize&quot;: 42, # Number of messages prior to and including latest_message to compile the suggestion. It may be smaller than the SuggestArticlesRequest.context_size field in the request if there aren&#x27;t that many messages in the conversation.
   &quot;latestMessage&quot;: &quot;A String&quot;, # The name of the latest conversation message used to compile suggestion for. Format: `projects//locations//conversations//messages/`.
 }</pre>
 </div>

 <div class="method">
     <code class="details" id="suggestFaqAnswers">suggestFaqAnswers(parent, body=None, x__xgafv=None)</code>
   <pre>Gets suggested faq answers for a participant based on specific historical messages.

 Args:
   parent: string, Required. The name of the participant to fetch suggestion for. Format: `projects//locations//conversations//participants/`. (required)
   body: object, The request body.
     The object takes the form of:

 { # The request message for Participants.SuggestFaqAnswers.
   &quot;contextSize&quot;: 42, # Max number of messages prior to and including [latest_message] to use as context when compiling the suggestion. By default 20 and at most 50.
   &quot;latestMessage&quot;: &quot;A String&quot;, # The name of the latest conversation message to compile suggestion for. If empty, it will be the latest message of the conversation. Format: `projects//locations//conversations//messages/`.
 }

   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
       2 - v2 error format

 Returns:
   An object of the form:

     { # The request message for Participants.SuggestFaqAnswers.
   &quot;contextSize&quot;: 42, # Number of messages prior to and including latest_message to compile the suggestion. It may be smaller than the SuggestFaqAnswersRequest.context_size field in the request if there aren&#x27;t that many messages in the conversation.
   &quot;faqAnswers&quot;: [ # Answers extracted from FAQ documents.
     { # Represents answer from &quot;frequently asked questions&quot;.
       &quot;answer&quot;: &quot;A String&quot;, # The piece of text from the `source` knowledge base document.
       &quot;answerRecord&quot;: &quot;A String&quot;, # The name of answer record, in the format of &quot;projects//locations//answerRecords/&quot;
       &quot;confidence&quot;: 3.14, # The system&#x27;s confidence score that this Knowledge answer is a good match for this conversational query, range from 0.0 (completely uncertain) to 1.0 (completely certain).
       &quot;metadata&quot;: { # A map that contains metadata about the answer and the document from which it originates.
         &quot;a_key&quot;: &quot;A String&quot;,
       },
       &quot;question&quot;: &quot;A String&quot;, # The corresponding FAQ question.
       &quot;source&quot;: &quot;A String&quot;, # Indicates which Knowledge Document this answer was extracted from. Format: `projects//locations//agent/knowledgeBases//documents/`.
     },
   ],
   &quot;latestMessage&quot;: &quot;A String&quot;, # The name of the latest conversation message used to compile suggestion for. Format: `projects//locations//conversations//messages/`.
 }</pre>
 </div>

 </body></html>
	<html><body>
	<style>

	body, h1, h2, h3, div, span, p, pre, a {
	margin: 0;
	padding: 0;
	border: 0;
	font-weight: inherit;
	font-style: inherit;
	font-size: 100%;
	font-family: inherit;
	vertical-align: baseline;
	}

	body {
	font-size: 13px;
	padding: 1em;
	}

	h1 {
	font-size: 26px;
	margin-bottom: 1em;
	}

	h2 {
	font-size: 24px;
	margin-bottom: 1em;
	}

	h3 {
	font-size: 20px;
	margin-bottom: 1em;
	margin-top: 1em;
	}

	pre, code {
	line-height: 1.5;
	font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace;
	}

	pre {
	margin-top: 0.5em;
	}

	h1, h2, h3, p {
	font-family: Arial, sans serif;
	}

	h1, h2, h3 {
	border-bottom: solid #CCC 1px;
	}

	.toc_element {
	margin-top: 0.5em;
	}

	.firstline {
	margin-left: 2 em;
	}

	.method {
	margin-top: 1em;
	border: solid 1px #CCC;
	padding: 1em;
	background: #EEE;
	}

	.details {
	font-weight: bold;
	font-size: 14px;
	}

	</style>

	<h1><a href="dialogflow_v2.html">Dialogflow API</a> . <a href="dialogflow_v2.projects.html">projects</a> . <a href="dialogflow_v2.projects.conversations.html">conversations</a> . <a href="dialogflow_v2.projects.conversations.participants.html">participants</a> . <a href="dialogflow_v2.projects.conversations.participants.suggestions.html">suggestions</a></h1>
	<h2>Instance Methods</h2>
	<p class="toc_element">
	<code><a href="#close">close()</a></code></p>
	<p class="firstline">Close httplib2 connections.</p>
	<p class="toc_element">
	<code><a href="#suggestArticles">suggestArticles(parent, body=None, x__xgafv=None)</a></code></p>
	<p class="firstline">Gets suggested articles for a participant based on specific historical messages.</p>
	<p class="toc_element">
	<code><a href="#suggestFaqAnswers">suggestFaqAnswers(parent, body=None, x__xgafv=None)</a></code></p>
	<p class="firstline">Gets suggested faq answers for a participant based on specific historical messages.</p>
	<h3>Method Details</h3>
	<div class="method">
	<code class="details" id="close">close()</code>
	<pre>Close httplib2 connections.</pre>
	</div>

	<div class="method">
	<code class="details" id="suggestArticles">suggestArticles(parent, body=None, x__xgafv=None)</code>
	<pre>Gets suggested articles for a participant based on specific historical messages.

	Args:
	parent: string, Required. The name of the participant to fetch suggestion for. Format: `projects//locations//conversations//participants/`. (required)
	body: object, The request body.
	The object takes the form of:

	{ # The request message for Participants.SuggestArticles.
	"contextSize": 42, # Max number of messages prior to and including latest_message to use as context when compiling the suggestion. By default 20 and at most 50.
	"latestMessage": "A String", # The name of the latest conversation message to compile suggestion for. If empty, it will be the latest message of the conversation. Format: `projects//locations//conversations//messages/`.
	}

	x__xgafv: string, V1 error format.
	Allowed values
	1 - v1 error format
	2 - v2 error format

	Returns:
	An object of the form:

	{ # The response message for Participants.SuggestArticles.
	"articleAnswers": [ # Articles ordered by score in descending order.
	{ # Represents article answer.
	"answerRecord": "A String", # The name of answer record, in the format of "projects//locations//answerRecords/"
	"confidence": 3.14, # Article match confidence. The system's confidence score that this article is a good match for this conversation, as a value from 0.0 (completely uncertain) to 1.0 (completely certain).
	"metadata": { # A map that contains metadata about the answer and the document from which it originates.
	"a_key": "A String",
	},
	"snippets": [ # Article snippets.
	"A String",
	],
	"title": "A String", # The article title.
	"uri": "A String", # The article URI.
	},
	],
	"contextSize": 42, # Number of messages prior to and including latest_message to compile the suggestion. It may be smaller than the SuggestArticlesRequest.context_size field in the request if there aren't that many messages in the conversation.
	"latestMessage": "A String", # The name of the latest conversation message used to compile suggestion for. Format: `projects//locations//conversations//messages/`.
	}</pre>
	</div>

	<div class="method">
	<code class="details" id="suggestFaqAnswers">suggestFaqAnswers(parent, body=None, x__xgafv=None)</code>
	<pre>Gets suggested faq answers for a participant based on specific historical messages.

	Args:
	parent: string, Required. The name of the participant to fetch suggestion for. Format: `projects//locations//conversations//participants/`. (required)
	body: object, The request body.
	The object takes the form of:

	{ # The request message for Participants.SuggestFaqAnswers.
	"contextSize": 42, # Max number of messages prior to and including [latest_message] to use as context when compiling the suggestion. By default 20 and at most 50.
	"latestMessage": "A String", # The name of the latest conversation message to compile suggestion for. If empty, it will be the latest message of the conversation. Format: `projects//locations//conversations//messages/`.
	}

	x__xgafv: string, V1 error format.
	Allowed values
	1 - v1 error format
	2 - v2 error format

	Returns:
	An object of the form:

	{ # The request message for Participants.SuggestFaqAnswers.
	"contextSize": 42, # Number of messages prior to and including latest_message to compile the suggestion. It may be smaller than the SuggestFaqAnswersRequest.context_size field in the request if there aren't that many messages in the conversation.
	"faqAnswers": [ # Answers extracted from FAQ documents.
	{ # Represents answer from "frequently asked questions".
	"answer": "A String", # The piece of text from the `source` knowledge base document.
	"answerRecord": "A String", # The name of answer record, in the format of "projects//locations//answerRecords/"
	"confidence": 3.14, # The system's confidence score that this Knowledge answer is a good match for this conversational query, range from 0.0 (completely uncertain) to 1.0 (completely certain).
	"metadata": { # A map that contains metadata about the answer and the document from which it originates.
	"a_key": "A String",
	},
	"question": "A String", # The corresponding FAQ question.
	"source": "A String", # Indicates which Knowledge Document this answer was extracted from. Format: `projects//locations//agent/knowledgeBases//documents/`.
	},
	],
	"latestMessage": "A String", # The name of the latest conversation message used to compile suggestion for. Format: `projects//locations//conversations//messages/`.
	}</pre>
	</div>

	</body></html>