Dialogflow Matcher (previously Api.ai)
Configuring opsdroid
In order to enable Dialogflow skills you must specify an access-key
for your bot (referred to as an agent in Dialogflow) in the matchers section of the opsdroid configuration file. You can find this access-key
in your agent settings. Currently you may only register one agent per opsdroid instance to avoid making multiple API calls for every message.
You can also set a min-score
option to tell opsdroid to ignore any matches which score less than a given number between 0 and 1. The default for this is 0 which will match all messages.
parsers:
- name: dialogflow
access-token: "exampleaccesstoken123"
min-score: 0.6
Dialogflow is an NLP API for matching strings to intents or actions. Intents are created on the Dialogflow website.
Example 1
from opsdroid.skill import Skill
from opsdroid.matchers import match_dialogflow_action
class MySkill(Skill):
@match_dialogflow_action('mydomain.myaction')
async def my_skill(self, message):
await message.respond('An appropriate response!')
The above skill would be called on any intent which has an action of 'mydomain.myaction'
.
Example 2
from opsdroid.skill import Skill
from opsdroid.matchers import match_dialogflow_intent
class MySkill(Skill):
@match_dialogflow_intent('myIntent')
async def my_skill(self, message):
await message.respond('An appropriate response!')
The above skill would be called on any intent which has a name of 'myIntent'
.
Creating a Dialogflow bot
You can find a quick getting started with Dialogflow guide here.
If you want to use Dialogflow in a different language other than English, all you need to do is specify the lang
parameter in opsdroid's configuration. Then change/add another language to your Dialogflow agent in the Language tab of the agent settings.
Useful Links: Languages Reference, Multi-language Agents Reference
Message object additional parameters
message.dialogflow
An http response object which has been returned by the Dialogflow API. This allows you to access any information from the matched intent including the action, intent name, suggested speech response, context, parameters, score, error status, etc.
import json
from opsdroid.skill import Skill
from opsdroid.matchers import match_dialogflow_action
class MySkill(Skill):
@match_dialogflow_action('smalltalk.greetings')
async def dump_response(self, message):
print(json.dumps(message.dialogflow))
This example skill will print the following on the message "whats up?".
{
"sessionId": "abc123",
"result": {
"parameters": {
"simplified": "what is up"
},
"metadata": {
"contexts": [],
"outputContexts": [],
"inputContexts": []
},
"speech": "Living the dream.",
"action": "smalltalk.greetings",
"resolvedQuery": "whats up?",
"source": "domains",
"score": 1.0
},
"timestamp": "2016-12-19T12:10:20.462Z",
"id": "9835915f-72a8-4292-8365-3067b9af0a80",
"status": {
"errorType": "success",
"code": 200
}
}