DialogFlow , Google Assistant responses and Detect Intent API
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I want to use a DialogFlow (DF) agent such that it integrates with a website. I therefore intend to use the detect intent API.
Within the DF agent I notice that if I just use the DF default responses they are just text based responses. Alternatively, if I want to use the media rich responses then I use the Google Assistant responses and the JSON the agent outputs is fundamentally different, (since when you use things like suggestion chips they have different JSON).
My question is whether it is a good idea to use the Google Assistant responses even though I'm not intending to use Google assistant. I know that I can also use the fulfilment option to provide media rich responses but I prefer to use the GUI based Google Assistant responses. Are there any downsides to using the Google Assistant (GA) responses in this way?
To give you an example, I have created intents that use the GA suggestion chips and the output of the agent gives responses like this in the JSON:
{
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [
{
"title": "Suggestion Chip 1!"
},
{
"title": "Suggestion 2!"
}
]
}
},
My intention is to use the Detect Intent API and then put logic in my GUI to interpret things like suggestion chips and then display accordingly.
dialogflow actions-on-google
add a comment |
up vote
1
down vote
favorite
I want to use a DialogFlow (DF) agent such that it integrates with a website. I therefore intend to use the detect intent API.
Within the DF agent I notice that if I just use the DF default responses they are just text based responses. Alternatively, if I want to use the media rich responses then I use the Google Assistant responses and the JSON the agent outputs is fundamentally different, (since when you use things like suggestion chips they have different JSON).
My question is whether it is a good idea to use the Google Assistant responses even though I'm not intending to use Google assistant. I know that I can also use the fulfilment option to provide media rich responses but I prefer to use the GUI based Google Assistant responses. Are there any downsides to using the Google Assistant (GA) responses in this way?
To give you an example, I have created intents that use the GA suggestion chips and the output of the agent gives responses like this in the JSON:
{
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [
{
"title": "Suggestion Chip 1!"
},
{
"title": "Suggestion 2!"
}
]
}
},
My intention is to use the Detect Intent API and then put logic in my GUI to interpret things like suggestion chips and then display accordingly.
dialogflow actions-on-google
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I want to use a DialogFlow (DF) agent such that it integrates with a website. I therefore intend to use the detect intent API.
Within the DF agent I notice that if I just use the DF default responses they are just text based responses. Alternatively, if I want to use the media rich responses then I use the Google Assistant responses and the JSON the agent outputs is fundamentally different, (since when you use things like suggestion chips they have different JSON).
My question is whether it is a good idea to use the Google Assistant responses even though I'm not intending to use Google assistant. I know that I can also use the fulfilment option to provide media rich responses but I prefer to use the GUI based Google Assistant responses. Are there any downsides to using the Google Assistant (GA) responses in this way?
To give you an example, I have created intents that use the GA suggestion chips and the output of the agent gives responses like this in the JSON:
{
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [
{
"title": "Suggestion Chip 1!"
},
{
"title": "Suggestion 2!"
}
]
}
},
My intention is to use the Detect Intent API and then put logic in my GUI to interpret things like suggestion chips and then display accordingly.
dialogflow actions-on-google
I want to use a DialogFlow (DF) agent such that it integrates with a website. I therefore intend to use the detect intent API.
Within the DF agent I notice that if I just use the DF default responses they are just text based responses. Alternatively, if I want to use the media rich responses then I use the Google Assistant responses and the JSON the agent outputs is fundamentally different, (since when you use things like suggestion chips they have different JSON).
My question is whether it is a good idea to use the Google Assistant responses even though I'm not intending to use Google assistant. I know that I can also use the fulfilment option to provide media rich responses but I prefer to use the GUI based Google Assistant responses. Are there any downsides to using the Google Assistant (GA) responses in this way?
To give you an example, I have created intents that use the GA suggestion chips and the output of the agent gives responses like this in the JSON:
{
"platform": "ACTIONS_ON_GOOGLE",
"suggestions": {
"suggestions": [
{
"title": "Suggestion Chip 1!"
},
{
"title": "Suggestion 2!"
}
]
}
},
My intention is to use the Detect Intent API and then put logic in my GUI to interpret things like suggestion chips and then display accordingly.
dialogflow actions-on-google
dialogflow actions-on-google
edited Nov 24 at 11:52
Prisoner
31.1k22552
31.1k22552
asked Nov 22 at 17:00
Risteard
567
567
add a comment |
add a comment |
1 Answer
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1
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The biggest reason not to use the Actions on Google responses is that you're not an Assistant client.
- Google can change the format of the response (they have in the past) and you will need to change yours.
- You may have different GUI requirements than the Assistant does, and trying to force yourself into their model may constrain how you act.
Instead, Dialogflow lets you embed platform-specific content in your reply, so you can include whatever information you want in whatever format in the reply.
Update to clarify the response.
In the JSON response that your webhook would send, you can include a payload
field, which is a JSON object containing whatever you want. For Actions on Google, it puts data into a google
field under the payload that contains AoG specific information. You can create your own field and put whatever you want in whatever format you want there.
So your JSON might look something like this:
{
"fulfillmentText": "Normal message here."
"payload": {
"myDisplayFormat": {
"suggestions": [
"Suggestion 1",
"Suggestion 2"
]
}
}
}
The advantage to this, as opposed to using AoG's response, is that you can include whatever additional information your agent needs. For example, you can include text color or font information here if you want to be able to show things differently. If you want additional buttons that go to different URLs or trigger different things on your page, you can include them here. Most importantly - this is entirely in your control, you're not subject to whatever Google decides to do.
Everything in the payload
section is passed unchanged to your API call in the queryResult.webhookPayload
field.
Ok thanks, but if my goal is to use DF with a web client and to use rich responses like suggestion chips then clearly the default text responses aren't sufficient. Are you suggesting that the inline fulfillment webhook is the best option or is there a better way to achieve my goal?
– Risteard
Nov 24 at 21:09
Answer updated, to hopefully clarify what I mean.
– Prisoner
Nov 26 at 0:34
Thanks that makes sense. However my previous comment was about how to do it. i.e. should you provide your custom response via the inline editor or via the external webhook that essentially calls a single external API service. The issue I see with the former is that it doesn't scale well while with the latter you can only call a single API endpoint; therefore that endpoint needs to become an intent handler and call other API endpoints.
– Risteard
Nov 26 at 13:57
That's a different question, and you may want to ask it as a new StackOverflow question with details about your concerns. However, the "inline editor" is implemented under the covers as a webhook that runs on Firebase Cloud Functions. Both have the same scalability and design considerations.
– Prisoner
Nov 26 at 13:59
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
The biggest reason not to use the Actions on Google responses is that you're not an Assistant client.
- Google can change the format of the response (they have in the past) and you will need to change yours.
- You may have different GUI requirements than the Assistant does, and trying to force yourself into their model may constrain how you act.
Instead, Dialogflow lets you embed platform-specific content in your reply, so you can include whatever information you want in whatever format in the reply.
Update to clarify the response.
In the JSON response that your webhook would send, you can include a payload
field, which is a JSON object containing whatever you want. For Actions on Google, it puts data into a google
field under the payload that contains AoG specific information. You can create your own field and put whatever you want in whatever format you want there.
So your JSON might look something like this:
{
"fulfillmentText": "Normal message here."
"payload": {
"myDisplayFormat": {
"suggestions": [
"Suggestion 1",
"Suggestion 2"
]
}
}
}
The advantage to this, as opposed to using AoG's response, is that you can include whatever additional information your agent needs. For example, you can include text color or font information here if you want to be able to show things differently. If you want additional buttons that go to different URLs or trigger different things on your page, you can include them here. Most importantly - this is entirely in your control, you're not subject to whatever Google decides to do.
Everything in the payload
section is passed unchanged to your API call in the queryResult.webhookPayload
field.
Ok thanks, but if my goal is to use DF with a web client and to use rich responses like suggestion chips then clearly the default text responses aren't sufficient. Are you suggesting that the inline fulfillment webhook is the best option or is there a better way to achieve my goal?
– Risteard
Nov 24 at 21:09
Answer updated, to hopefully clarify what I mean.
– Prisoner
Nov 26 at 0:34
Thanks that makes sense. However my previous comment was about how to do it. i.e. should you provide your custom response via the inline editor or via the external webhook that essentially calls a single external API service. The issue I see with the former is that it doesn't scale well while with the latter you can only call a single API endpoint; therefore that endpoint needs to become an intent handler and call other API endpoints.
– Risteard
Nov 26 at 13:57
That's a different question, and you may want to ask it as a new StackOverflow question with details about your concerns. However, the "inline editor" is implemented under the covers as a webhook that runs on Firebase Cloud Functions. Both have the same scalability and design considerations.
– Prisoner
Nov 26 at 13:59
add a comment |
up vote
1
down vote
accepted
The biggest reason not to use the Actions on Google responses is that you're not an Assistant client.
- Google can change the format of the response (they have in the past) and you will need to change yours.
- You may have different GUI requirements than the Assistant does, and trying to force yourself into their model may constrain how you act.
Instead, Dialogflow lets you embed platform-specific content in your reply, so you can include whatever information you want in whatever format in the reply.
Update to clarify the response.
In the JSON response that your webhook would send, you can include a payload
field, which is a JSON object containing whatever you want. For Actions on Google, it puts data into a google
field under the payload that contains AoG specific information. You can create your own field and put whatever you want in whatever format you want there.
So your JSON might look something like this:
{
"fulfillmentText": "Normal message here."
"payload": {
"myDisplayFormat": {
"suggestions": [
"Suggestion 1",
"Suggestion 2"
]
}
}
}
The advantage to this, as opposed to using AoG's response, is that you can include whatever additional information your agent needs. For example, you can include text color or font information here if you want to be able to show things differently. If you want additional buttons that go to different URLs or trigger different things on your page, you can include them here. Most importantly - this is entirely in your control, you're not subject to whatever Google decides to do.
Everything in the payload
section is passed unchanged to your API call in the queryResult.webhookPayload
field.
Ok thanks, but if my goal is to use DF with a web client and to use rich responses like suggestion chips then clearly the default text responses aren't sufficient. Are you suggesting that the inline fulfillment webhook is the best option or is there a better way to achieve my goal?
– Risteard
Nov 24 at 21:09
Answer updated, to hopefully clarify what I mean.
– Prisoner
Nov 26 at 0:34
Thanks that makes sense. However my previous comment was about how to do it. i.e. should you provide your custom response via the inline editor or via the external webhook that essentially calls a single external API service. The issue I see with the former is that it doesn't scale well while with the latter you can only call a single API endpoint; therefore that endpoint needs to become an intent handler and call other API endpoints.
– Risteard
Nov 26 at 13:57
That's a different question, and you may want to ask it as a new StackOverflow question with details about your concerns. However, the "inline editor" is implemented under the covers as a webhook that runs on Firebase Cloud Functions. Both have the same scalability and design considerations.
– Prisoner
Nov 26 at 13:59
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
The biggest reason not to use the Actions on Google responses is that you're not an Assistant client.
- Google can change the format of the response (they have in the past) and you will need to change yours.
- You may have different GUI requirements than the Assistant does, and trying to force yourself into their model may constrain how you act.
Instead, Dialogflow lets you embed platform-specific content in your reply, so you can include whatever information you want in whatever format in the reply.
Update to clarify the response.
In the JSON response that your webhook would send, you can include a payload
field, which is a JSON object containing whatever you want. For Actions on Google, it puts data into a google
field under the payload that contains AoG specific information. You can create your own field and put whatever you want in whatever format you want there.
So your JSON might look something like this:
{
"fulfillmentText": "Normal message here."
"payload": {
"myDisplayFormat": {
"suggestions": [
"Suggestion 1",
"Suggestion 2"
]
}
}
}
The advantage to this, as opposed to using AoG's response, is that you can include whatever additional information your agent needs. For example, you can include text color or font information here if you want to be able to show things differently. If you want additional buttons that go to different URLs or trigger different things on your page, you can include them here. Most importantly - this is entirely in your control, you're not subject to whatever Google decides to do.
Everything in the payload
section is passed unchanged to your API call in the queryResult.webhookPayload
field.
The biggest reason not to use the Actions on Google responses is that you're not an Assistant client.
- Google can change the format of the response (they have in the past) and you will need to change yours.
- You may have different GUI requirements than the Assistant does, and trying to force yourself into their model may constrain how you act.
Instead, Dialogflow lets you embed platform-specific content in your reply, so you can include whatever information you want in whatever format in the reply.
Update to clarify the response.
In the JSON response that your webhook would send, you can include a payload
field, which is a JSON object containing whatever you want. For Actions on Google, it puts data into a google
field under the payload that contains AoG specific information. You can create your own field and put whatever you want in whatever format you want there.
So your JSON might look something like this:
{
"fulfillmentText": "Normal message here."
"payload": {
"myDisplayFormat": {
"suggestions": [
"Suggestion 1",
"Suggestion 2"
]
}
}
}
The advantage to this, as opposed to using AoG's response, is that you can include whatever additional information your agent needs. For example, you can include text color or font information here if you want to be able to show things differently. If you want additional buttons that go to different URLs or trigger different things on your page, you can include them here. Most importantly - this is entirely in your control, you're not subject to whatever Google decides to do.
Everything in the payload
section is passed unchanged to your API call in the queryResult.webhookPayload
field.
edited Nov 26 at 0:34
answered Nov 24 at 11:52
Prisoner
31.1k22552
31.1k22552
Ok thanks, but if my goal is to use DF with a web client and to use rich responses like suggestion chips then clearly the default text responses aren't sufficient. Are you suggesting that the inline fulfillment webhook is the best option or is there a better way to achieve my goal?
– Risteard
Nov 24 at 21:09
Answer updated, to hopefully clarify what I mean.
– Prisoner
Nov 26 at 0:34
Thanks that makes sense. However my previous comment was about how to do it. i.e. should you provide your custom response via the inline editor or via the external webhook that essentially calls a single external API service. The issue I see with the former is that it doesn't scale well while with the latter you can only call a single API endpoint; therefore that endpoint needs to become an intent handler and call other API endpoints.
– Risteard
Nov 26 at 13:57
That's a different question, and you may want to ask it as a new StackOverflow question with details about your concerns. However, the "inline editor" is implemented under the covers as a webhook that runs on Firebase Cloud Functions. Both have the same scalability and design considerations.
– Prisoner
Nov 26 at 13:59
add a comment |
Ok thanks, but if my goal is to use DF with a web client and to use rich responses like suggestion chips then clearly the default text responses aren't sufficient. Are you suggesting that the inline fulfillment webhook is the best option or is there a better way to achieve my goal?
– Risteard
Nov 24 at 21:09
Answer updated, to hopefully clarify what I mean.
– Prisoner
Nov 26 at 0:34
Thanks that makes sense. However my previous comment was about how to do it. i.e. should you provide your custom response via the inline editor or via the external webhook that essentially calls a single external API service. The issue I see with the former is that it doesn't scale well while with the latter you can only call a single API endpoint; therefore that endpoint needs to become an intent handler and call other API endpoints.
– Risteard
Nov 26 at 13:57
That's a different question, and you may want to ask it as a new StackOverflow question with details about your concerns. However, the "inline editor" is implemented under the covers as a webhook that runs on Firebase Cloud Functions. Both have the same scalability and design considerations.
– Prisoner
Nov 26 at 13:59
Ok thanks, but if my goal is to use DF with a web client and to use rich responses like suggestion chips then clearly the default text responses aren't sufficient. Are you suggesting that the inline fulfillment webhook is the best option or is there a better way to achieve my goal?
– Risteard
Nov 24 at 21:09
Ok thanks, but if my goal is to use DF with a web client and to use rich responses like suggestion chips then clearly the default text responses aren't sufficient. Are you suggesting that the inline fulfillment webhook is the best option or is there a better way to achieve my goal?
– Risteard
Nov 24 at 21:09
Answer updated, to hopefully clarify what I mean.
– Prisoner
Nov 26 at 0:34
Answer updated, to hopefully clarify what I mean.
– Prisoner
Nov 26 at 0:34
Thanks that makes sense. However my previous comment was about how to do it. i.e. should you provide your custom response via the inline editor or via the external webhook that essentially calls a single external API service. The issue I see with the former is that it doesn't scale well while with the latter you can only call a single API endpoint; therefore that endpoint needs to become an intent handler and call other API endpoints.
– Risteard
Nov 26 at 13:57
Thanks that makes sense. However my previous comment was about how to do it. i.e. should you provide your custom response via the inline editor or via the external webhook that essentially calls a single external API service. The issue I see with the former is that it doesn't scale well while with the latter you can only call a single API endpoint; therefore that endpoint needs to become an intent handler and call other API endpoints.
– Risteard
Nov 26 at 13:57
That's a different question, and you may want to ask it as a new StackOverflow question with details about your concerns. However, the "inline editor" is implemented under the covers as a webhook that runs on Firebase Cloud Functions. Both have the same scalability and design considerations.
– Prisoner
Nov 26 at 13:59
That's a different question, and you may want to ask it as a new StackOverflow question with details about your concerns. However, the "inline editor" is implemented under the covers as a webhook that runs on Firebase Cloud Functions. Both have the same scalability and design considerations.
– Prisoner
Nov 26 at 13:59
add a comment |
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