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Copy file name to clipboardExpand all lines: docs/dyn/dialogflow_v3.projects.locations.agents.environments.sessions.html
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@@ -854,11 +854,11 @@ <h3>Method Details</h3>
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"diagnosticInfo": { # The free-form diagnostic info. For example, this field could contain webhook call latency. The fields of this data can change without notice, so you should not write code that depends on its structure. One of the fields is called "Alternative Matched Intents", which may aid with debugging. The following describes these intent results: - The list is empty if no intent was matched to end-user input. - Only intents that are referenced in the currently active flow are included. - The matched intent is included. - Other intents that could have matched end-user input, but did not match because they are referenced by intent routes that are out of [scope](https://cloud.google.com/dialogflow/cx/docs/concept/handler#scope), are included. - Other intents referenced by intent routes in scope that matched end-user input, but had a lower confidence score.
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"a_key": "", # Properties of the object.
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},
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"dtmf": { # Represents the input for dtmf event. # If a DTMF was provided as input, this field will contain a copy of the DTMFInput.
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"dtmf": { # Represents the input for dtmf event. # If a DTMF was provided as input, this field will contain a copy of the DtmfInput.
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"digits": "A String", # The dtmf digits.
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"finishDigit": "A String", # The finish digit (if any).
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},
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"intent": { # 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. # The Intent that matched the conversational query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. This field is deprecated, please use QueryResult.match instead.
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"intent": { # 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. Next ID: 15 # The Intent that matched the conversational query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. This field is deprecated, please use QueryResult.match instead.
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"description": "A String", # Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
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"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
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"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.
@@ -893,7 +893,7 @@ <h3>Method Details</h3>
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"match": { # Represents one match result of MatchIntent. # Intent match result, could be an intent or an event.
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"confidence": 3.14, # The confidence of this match. Values range from 0.0 (completely uncertain) to 1.0 (completely certain). This value is for informational purpose only and is only used to help match the best intent within the classification threshold. This value may change for the same end-user expression at any time due to a model retraining or change in implementation.
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"event": "A String", # The event that matched the query. Filled for `EVENT`, `NO_MATCH` and `NO_INPUT` match types.
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"intent": { # 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. # The Intent that matched the query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. Only filled for `INTENT` match type.
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"intent": { # 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. Next ID: 15 # The Intent that matched the query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. Only filled for `INTENT` match type.
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"description": "A String", # Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
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"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
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"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.
@@ -1022,7 +1022,7 @@ <h3>Method Details</h3>
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"match": { # Represents one match result of MatchIntent. # The matched intent/event to fulfill.
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"confidence": 3.14, # The confidence of this match. Values range from 0.0 (completely uncertain) to 1.0 (completely certain). This value is for informational purpose only and is only used to help match the best intent within the classification threshold. This value may change for the same end-user expression at any time due to a model retraining or change in implementation.
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"event": "A String", # The event that matched the query. Filled for `EVENT`, `NO_MATCH` and `NO_INPUT` match types.
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"intent": { # 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. # The Intent that matched the query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. Only filled for `INTENT` match type.
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"intent": { # 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. Next ID: 15 # The Intent that matched the query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. Only filled for `INTENT` match type.
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"description": "A String", # Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
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"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
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"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.
@@ -1807,11 +1807,11 @@ <h3>Method Details</h3>
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"diagnosticInfo": { # The free-form diagnostic info. For example, this field could contain webhook call latency. The fields of this data can change without notice, so you should not write code that depends on its structure. One of the fields is called "Alternative Matched Intents", which may aid with debugging. The following describes these intent results: - The list is empty if no intent was matched to end-user input. - Only intents that are referenced in the currently active flow are included. - The matched intent is included. - Other intents that could have matched end-user input, but did not match because they are referenced by intent routes that are out of [scope](https://cloud.google.com/dialogflow/cx/docs/concept/handler#scope), are included. - Other intents referenced by intent routes in scope that matched end-user input, but had a lower confidence score.
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"a_key": "", # Properties of the object.
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},
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"dtmf": { # Represents the input for dtmf event. # If a DTMF was provided as input, this field will contain a copy of the DTMFInput.
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"dtmf": { # Represents the input for dtmf event. # If a DTMF was provided as input, this field will contain a copy of the DtmfInput.
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"digits": "A String", # The dtmf digits.
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"finishDigit": "A String", # The finish digit (if any).
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},
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"intent": { # 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. # The Intent that matched the conversational query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. This field is deprecated, please use QueryResult.match instead.
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"intent": { # 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. Next ID: 15 # The Intent that matched the conversational query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. This field is deprecated, please use QueryResult.match instead.
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"description": "A String", # Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
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"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
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"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.
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"match": { # Represents one match result of MatchIntent. # Intent match result, could be an intent or an event.
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"confidence": 3.14, # The confidence of this match. Values range from 0.0 (completely uncertain) to 1.0 (completely certain). This value is for informational purpose only and is only used to help match the best intent within the classification threshold. This value may change for the same end-user expression at any time due to a model retraining or change in implementation.
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"event": "A String", # The event that matched the query. Filled for `EVENT`, `NO_MATCH` and `NO_INPUT` match types.
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"intent": { # 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. # The Intent that matched the query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. Only filled for `INTENT` match type.
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"intent": { # 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. Next ID: 15 # The Intent that matched the query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. Only filled for `INTENT` match type.
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"description": "A String", # Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
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"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
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"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.
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{ # Represents one match result of MatchIntent.
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"confidence": 3.14, # The confidence of this match. Values range from 0.0 (completely uncertain) to 1.0 (completely certain). This value is for informational purpose only and is only used to help match the best intent within the classification threshold. This value may change for the same end-user expression at any time due to a model retraining or change in implementation.
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"event": "A String", # The event that matched the query. Filled for `EVENT`, `NO_MATCH` and `NO_INPUT` match types.
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"intent": { # 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. # The Intent that matched the query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. Only filled for `INTENT` match type.
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"intent": { # 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. Next ID: 15 # The Intent that matched the query. Some, not all fields are filled in this message, including but not limited to: `name` and `display_name`. Only filled for `INTENT` match type.
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"description": "A String", # Human readable description for better understanding an intent like its scope, content, result etc. Maximum character limit: 140 characters.
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"displayName": "A String", # Required. The human-readable name of the intent, unique within the agent.
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"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.
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