Create a bot that reacts to user inputs

Prerequisites: Up and Running instance of EDDI (see: Getting started)
Let's get started
Follow these steps to create the configuration files you will need:
1. Creating a Regular Dictionary inside Parser
See also Semantic Parser​
Create regular dictionaries in order to store custom words and phrases. A dictionary is there to map user input to expressions, which are later used in Behavior Rules. A POST to /regulardictionarystore/regulardictionaries with a JSON in the body like this:
{
  "words": [
    {
      "word": "hello",
      "expressions": "greeting(hello)",
      "frequency": 0
    },
    {
      "word": "hi",
      "expressions": "greeting(hi)",
      "frequency": 0
    },
    {
      "word": "bye",
      "expressions": "goodbye(bye)",
      "frequency": 0
    },
    {
      "word": "thanks",
      "expressions": "thanks(thanks)",
      "frequency": 0
    }
  ],
  "phrases": [
    {
      "phrase": "good afternoon",
      "expressions": "greeting(good_afternoon)"
    },
    {
      "phrase": "how are you",
      "expressions": "how_are_you"
    }
  ]
}
Example using CURL:
curl -X POST --header 'Content-Type: application/json' --header 'Accept: application/json' -d '{ \
"language" : "en", \
"words" : [ \
{ \
"word" : "hello", \
"expressions" : "greeting(hello)", \
"frequency" : 0 \
}, \
{ \
"word" : "hi", \
"expressions" : "greeting(hi)", \
"frequency" : 0 \
}, \
{ \
"word" : "bye", \
"expressions" : "goodbye(bye)", \
"frequency" : 0 \
}, \
{ \
"word" : "thanks", \
"expressions" : "thanks(thanks)", \
"frequency" : 0 \
} \
], \
"phrases" : [ \
{ \
"phrase" : "good afternoon", \
"expressions" : "greeting(good_afternoon)" \
}, \
{ \
"phrase" : "how are you", \
"expressions" : "how_are_you" \
} \
] \
}' 'http://localhost:7070/regulardictionarystore/regulardictionaries'
Dictionary parameters
Name
Description
Required
words
Array of Word
​
phrases
Array of Phrase
​
Word.word
String, single word, no spaces.
True
Word.expressions
String, "greeting(hello)": "greeting" is the category of this expression and "hello" is an entity.
​
Word.frequency
int, Used for a randomizer
​
Phrase.phrase
String, Spaces allowed
True
Phrase.expressions
String, "greeting(hello)": "greeting" is the category of this expression and "hello" is an entity.
​
The returned URI is a reference for this specific resource. This resource will be referenced in the bot definition.
2. Creating Behavior Rules
See also Behavior Rules
Next, create a behaviorRule resource to configure the decision making a. Make a POST to /behaviorstore/behaviorsets with a JSON in the body like this:
{
  "behaviorGroups": [
    {
      "name": "Smalltalk",
      "behaviorRules": [
        {
          "name": "Welcome",
          "actions": [
            "welcome"
          ],
          "conditions": [
            {
              "type": "occurrence",
              "configs": {
                "maxTimesOccurred": "0",
                "behaviorRuleName": "Welcome"
              }
            }
          ]
        },
        {
          "name": "Greeting",
          "actions": [
            "greet"
          ],
          "conditions": [
            {
              "type": "inputmatcher",
              "configs": {
                "expressions": "greeting(*)",
                "occurrence": "currentStep"
              }
            }
          ]
        },
        {
          "name": "Goodbye",
          "actions": [
            "say_goodbye",
            "CONVERSATION_END"
          ],
          "conditions": [
            {
              "type": "inputmatcher",
              "configs": {
                "expressions": "goodbye(*)"
              }
            }
          ]
        },
        {
          "name": "Thank",
          "actions": [
            "thank"
          ],
          "conditions": [
            {
              "type": "inputmatcher",
              "configs": {
                "expressions": "thank(*)"
              }
            }
          ]
        },
        {
          "name": "how are you",
          "actions": [
            "how_are_you"
          ],
          "conditions": [
            {
              "type": "inputmatcher",
              "configs": {
                "expressions": "how_are_you"
              }
            }
          ]
        }
      ]
    }
  ]
}
Behavior Rules parameters
Name
Description
 BehaviorRule.name
String, e.g. "Smalltalk"
BehaviourGroup.behaviorRules
Array of BehaviorRule
 BehaviorRule.name
String, e.g. "Greeting"
BehaviorRule.actions
Array of String, e.g. "greet" or "CONVERSATION_END"
BehaviorRule.conditions
Array of RuleChild
RuleChild.type
String, allowed values: 
—>"inputmatcher" (has params: "expressions" (Array of String( and "occurrence")
 —>"negation" (BehaviorExtension object, has params: "conditions" and "occurrence")
RuleChild.values
HashMap, allowed values: 
—>"expressions": String, mandatory. Expression e.g. "greeting(*)" or "how_are_you" 
—>"occurrence": String, optional. Allowed values "currentStep"
Negation.conditons
Array of NegationChild
NegationChild.type
String e.g. "occurrence"
NegationChild.values
HashMap, allowed values: 
—>"maxTimesOccurred": String, e.g. 1 
—>"minTimesOccurred": String, e.g. 1 
—>"behaviorRuleName": String
You should again get a return code of 201 with a URI in the location header referencing the newly created Behavior Rules:
eddi://ai.labs.behavior/behaviorstore/behaviorsets/<UNIQUE_BEHAVIOR_ID>?version=<BEHAVIOR_VERSION>
Example:
eddi://ai.labs.behavior/behaviorstore/behaviorsets/5a26d8fd17312628b46119fb?version=1
3. Creating Output
​See also Output Configuration.​
You have guessed it correctly, another POST to /outputstore/outputsets creates the bot's Output with a JSON in the body like this:
{
  "outputSet": [
    {
      "action": "welcome",
      "timesOccurred": 0,
      "outputs": [
        {
          "valueAlternatives": [
            {
              "type": "text",
              "text": "Welcome!"
            }
          ]
        },
        {
          "valueAlternatives": [
            {
              "type": "text",
              "text": "My name is E.D.D.I"
            }
          ]
        }
      ],
      "quickReplies": [
        {
          "value": "Hi EDDI",
          "expressions": "greeting(hi)"
        },
        {
          "value": "Bye EDDI",
          "expressions": "goodbye(bye)"
        }
      ]
    },
    {
      "action": "greet",
      "timesOccurred": 0,
      "outputs": [
        {
          "valueAlternatives": [
            {
              "type": "text",
              "text": "Hi there! Nice to meet up! :-)"
            },
            {
              "type": "text",
              "text": "Hey you!"
            }
          ]
        }
      ]
    },
    {
      "action": "greet",
      "timesOccurred": 1,
      "outputs": [
        {
          "valueAlternatives": [
            {
              "type": "text",
              "text": "Did we already say hi ?! Well, twice is better than not at all! ;-)"
            }
          ]
        }
      ]
    },
    {
      "action": "say_goodbye",
      "timesOccurred": 0,
      "outputs": [
        {
          "valueAlternatives": [
            {
              "type": "text",
              "text": "See you soon!"
            }
          ]
        }
      ]
    },
    {
      "action": "thank",
      "timesOccurred": 0,
      "outputs": [
        {
          "valueAlternatives": [
            {
              "type": "text",
              "text": "Your Welcome!"
            }
          ]
        }
      ]
    },
    {
      "action": "how_are_you",
      "timesOccurred": 0,
      "outputs": [
        {
          "valueAlternatives": [
            {
              "type": "text",
              "text": "Pretty good.. having lovely conversations all day long.. :-D"
            }
          ]
        }
      ]
    }
  ]
}
You should again get a return code of 201 with a URI in the location header referencing the newly created output :
eddi://ai.labs.output/outputstore/outputsets/<UNIQUE_OUTPUTSET_ID>?version=<OUTPUTSET_VERSION>
Example :
eddi://ai.labs.output/outputstore/outputsets/5a26d97417312628b46119fc?version=1
4. Creating the Package
Now we will align the just created LifecycleTasks in the Package. Make a POST to /packagestore/packages with a JSON in the body like this:
{
  "packageExtensions": [
    {
      "type": "eddi://ai.labs.parser",
      "extensions": {
        "dictionaries": [
          {
            "type": "eddi://ai.labs.parser.dictionaries.integer"
          },
          {
            "type": "eddi://ai.labs.parser.dictionaries.decimal"
          },
          {
            "type": "eddi://ai.labs.parser.dictionaries.punctuation"
          },
          {
            "type": "eddi://ai.labs.parser.dictionaries.email"
          },
          {
            "type": "eddi://ai.labs.parser.dictionaries.time"
          },
          {
            "type": "eddi://ai.labs.parser.dictionaries.ordinalNumber"
          },
          {
            "type": "eddi://ai.labs.parser.dictionaries.regular",
            "config": {
              "uri": "eddi://ai.labs.regulardictionary/regulardictionarystore/regulardictionaries/<UNIQUE_DICTIONARY_ID>?version=<DICTIONARY_VERSION>"
            }
          }
        ],
        "corrections": [
          {
            "type": "eddi://ai.labs.parser.corrections.stemming",
            "config": {
              "language": "english",
              "lookupIfKnown": "false"
            }
          },
          {
            "type": "eddi://ai.labs.parser.corrections.levenshtein",
            "config": {
              "distance": "2"
            }
          },
          {
            "type": "eddi://ai.labs.parser.corrections.mergedTerms"
          }
        ]
      },
      "config": {}
    },
    {
      "type": "eddi://ai.labs.behavior",
      "config": {
        "uri": "eddi://ai.labs.behavior/behaviorstore/behaviorsets/<UNIQUE_BEHAVIOR_ID>?version=<BEHAVIOR_VERSION>"
      }
    },
    {
      "type": "eddi://ai.labs.output",
      "config": {
        "uri": "eddi://ai.labs.output/outputstore/outputsets/<UNIQUE_OUTPUTSET_ID>?version=<OUTPUTSET_VERSION>"
      }
    }
  ]
}
Package parameters
Name
Description
Required
packageextensions
Array of PackageExtension
​
PackageExtension.type
possible values, see table below "Extension Types"
​
PackageExtension.extensions
Array of Object
False
PackageExtension.config
Config object, but can be empty.
True
Extension Types
Extension
Config
eddi://ai.labs.parser
Dictionaries and/or corrections 
Object "extensions" can contain "dictionaries" (Array of Dictionary) and/or "corrections" (Array of Correction) 
Object "Dictionary" has params "type" and "config" (optional) 
Dictionary.type can reference Regular-Dictionaries "eddi://ai.labs.parser.dictionaries.regular" (needs param "config.uri") or be one of the EDDI out of the box types: 
—>"eddi://ai.labs.parser.dictionaries.integer" 
—>"eddi://ai.labs.parser.dictionaries.decimal" 
—>"eddi://ai.labs.parser.dictionaries.punctuation" 
—>"eddi://ai.labs.parser.dictionaries.email" 
—>"eddi://ai.labs.parser.dictionaries.time" 
—>"eddi://ai.labs.parser.dictionaries.ordinalNumber"
Object "Correction" has params "type" and "config" (optional)
Correction.type can reference one of the EDDI out of the box types: 
—>"eddi://ai.labs.parser.corrections.stemming": Object "config" has params "language" (String e.g. "english") and "lookupIfKnown" (Boolean) 
—>"eddi://ai.labs.parser.corrections.levenshtein": Object "config" has param "distance" (Integer, e.g. 2) 
—>"eddi://ai.labs.parser.corrections.mergedTerms"
eddi://ai.labs.behavior
Object Config contains param uri with Link to a behavior set, e.g. eddi://ai.labs.behavior/behaviorstore/behaviorsets/5a26d8fd17312628b46119fb?version=1
eddi://ai.labs.output
Object Config contains param uri with Link to output set, e.g. eddi://ai.labs.output/outputstore/outputsets/5a26d97417312628b46119fc?version=1
New
Now you can use the new feature of defining properties in the package definition : This can be used by introducing an extension with type eddi://ai.labs.property which has the config model as follows:
{
  "type": "eddi://ai.labs.property",
  "config": {
    "setOnActions": [
      {
        "actions": "string",
        "setProperties": [
          {
            "name": "string",
            "fromObjectPath": "string",
            "scope": "string"
          }
        ]
      }
    ]
  }
}
Description of eddi://ai.labs.property model
Name
Description
setOnActions.actions
(string) defines which for which actions (triggered by BehaviorRules) these Properties should be set
setOnActions.setProperties
(Array <Property>: ) must respect the Propertymodel: name, fromObjectPath and scope.
setOnActions.setProperties.name
(string) name of the Property.
setOnActions.setProperties.fromObjectPath
(string) path to the json object.
setOnActions.setProperties.scope
(string) Possible values step, conversation and longTerm .
Example of eddi://ai.labs.property
{
  "packageExtensions": [
   ...
    {
      "type": "eddi://ai.labs.property",
      "config": {
        "setOnActions": [
          {
            "actions": "currentWeather",
            "setProperties": [
              {
                "name": "city",
                "fromObjectPath": "memory.current.input",
                "scope": "longTerm"
              }
            ]
          }
        ]
      }
    },
   ...
    {
      "type": "eddi://ai.labs.property",
      "config": {
        "setOnActions": [
          {
            "actions": "currentWeather",
            "setProperties": [
              {
                "name": "currentWeather",
                "fromObjectPath": "memory.current.httpCalls.currentWeather",
                "scope": "conversation"
              }
            ]
          }
        ]
      }
    },
   ...
  ]
}
You should again get a return code of 201 with an URI in the location header referencing the newly created package format
eddi://ai.labs.package/packagestore/packages/<UNIQUE_PACKAGE_ID>?version=<PACKAGE_VERSION>
Example
eddi://ai.labs.package/packagestore/packages/5a2ae60f17312624f8b8a445?version=1
See also the API documentation at http://localhost:7070/view#!/configurations/createPackage​
5. Creating a Bot
Make a POST to /botstore/bots with a JSON like this:
{
"packages": [
"eddi://ai.labs.package/packagestore/packages/<UNIQUE_PACKAGE_ID>?version=<PACKAGE_VERSION>"
],
"channels": []
}
Bot parameters
Name
Description
packages
Array of String, references to Packages
channels
Array of Channel,
Channel.type
String, e.g. "eddi://ai.labs.channel.facebook"
Channel.config
Config Object. For "Facebook" this object has the params "appSecret" (String), "verificationToken" (String), "pageAccessToken" (String)
b. You should again get a return code of 201 with a URI in the location header referencing the newly created bot :
eddi://ai.labs.bot/botstore/bots/<UNIQUE_BOT_ID>?version=<BOT_VERSION>
Example:
eddi://ai.labs.bot/botstore/bots/5a2ae68a17312624f8b8a446?version=1
See also the API documentation at http://localhost:7070/view#!/configurations/createBot​
6. Launching the Bot
Finally, we are ready to let the bot fly. From here on, you have the possibility to let an UI do it for you or you do it step by step.
The UI that automates these steps can be reached here: /chat/unrestricted/<UNIQUE_BOT_ID>
Otherwise via REST:
1.Deploy the Bot:
Make a POST to /administration/unrestricted/deploy/<UNIQUE_BOT_ID>?version=<BOT_VERSION>
You will receive a 202 http code.
2.Since deployment could take a while it has been made asynchronous.
3.Make a GET to /administration/unrestricted/deploymentstatus/<UNIQUE_BOT_ID>?version=<BOT_VERSION> to find out the status of deployment.
NOT_FOUND, IN_PROGRESS, ERROR and READY is what you can expect to be returned in the body.
1.As soon as the Bot is deployed and has READY status, make a POST to /bots/unrestricted/<UNIQUE_BOT_ID>
1.You will receive a 201 with the URI for the newly created Conversation, like this:
1.e.g.
eddi://ai.labs.conversation/conversationstore/conversations/<UNIQUE_CONVERSATION_ID>
2.Now it's time to start talking to our Bot 1. Make a POST to /bots/unrestricted/<UNIQUE_BOT_ID>/<UNIQUE_CONVERSATION_ID>
Option 1: is to hand over the input text as contentType text/plain. Include the User Input in the body as text/plain (e.g. Hello) 
 Option 2: is to hand over the input as contentType application/json, which also allows you to handover context information that you can use with the eddi configurations 1. Include the User Input in the body as application/json (e.g. Hello)
{
     "input": "some user input"
}
1.You have two query params you can use to config the returned output 1. returnDetailed - default is false - will return all sub results of the entire conversation steps, otherwise only public ones such as input, action, output & quickreplies 2. returnCurrentStepOnly - default is true - will return only the latest conversation step that has just been processed, otherwise returns all conversation steps since the beginning of this conversation
2.The output from the bot will be returned as JSON
3.If you are interested in fetching the conversationmemory at any given time, make a GET to /bots/unrestricted/<UNIQUE_BOT_ID>/<UNIQUE_CONVERSATION_ID>?returnDetailed=true (the query param is optional, default is false)
If you made it till here, CONGRATULATIONS, you have created your first Chatbot with EDDI !
By the way you can use the attached postman collection below to do all of the steps mentioned above by clicking send on each request in postman.
1.Create dictionary (greetings)
2.Create behaviourSet
3.Create outputSet
4.Creating package
5.Creating bot
6.Deploy the bot
7.Create conversation
8.Say Hello to the bot
Creating and chatting with a bot.postman_collection.json
21KB
Code
Example to download
External Links
​Using collections in postman​

Create a "Hello World" bot

Import/Export a Chatbot

Last modified 1yr ago

Name	Description	Required
words	`Array` of `Word`
phrases	`Array` of `Phrase`
Word.word	`String`, single word, no spaces.	True
Word.expressions	`String`, "greeting(hello)": "greeting" is the category of this expression and "hello" is an entity.
Word.frequency	`int`, Used for a randomizer
Phrase.phrase	`String`, Spaces allowed	True
Phrase.expressions	`String`, "greeting(hello)": "greeting" is the category of this expression and "hello" is an entity.

Name	Description
BehaviorRule.name	`String`, e.g. "Smalltalk"
BehaviourGroup.behaviorRules	`Array` of `BehaviorRule`
BehaviorRule.name	`String`, e.g. "Greeting"
BehaviorRule.actions	`Array` of `String`, e.g. "greet" or "CONVERSATION_END"
BehaviorRule.conditions	`Array` of `RuleChild`
RuleChild.type	`String`, allowed values: —>"`inputmatcher`" (has params: "`expressions`" (`Array` of `String`( and "`occurrence`") —>"`negation`" (`BehaviorExtension` object, has params: "`conditions`" and "`occurrence`")
RuleChild.values	`HashMap`, allowed values: —>"`expressions`": `String`, mandatory. Expression e.g. "greeting(*)" or "how_are_you" —>"`occurrence`": `String`, optional. Allowed values "`currentStep`"
Negation.conditons	`Array` of `NegationChild`
NegationChild.type	`String` e.g. "`occurrence`"
NegationChild.values	HashMap, allowed values: —>"`maxTimesOccurred`": `String`, e.g. 1 —>"`minTimesOccurred`": `String`, e.g. 1 —>"`behaviorRuleName`": `String`

Extension	Config
eddi://ai.labs.parser	`Dictionaries` and/or corrections Object "`extensions`" can contain "`dictionaries`" (`Array` of `Dictionary`) and/or "`corrections`" (`Array` of `Correction`) Object "`Dictionary`" has params "`type`" and "`config`" (optional) `Dictionary.type` can reference `Regular-Dictionaries` "`eddi://ai.labs.parser.dictionaries.regular`" (needs param "`config.uri`") or be one of the EDDI out of the box types: —>"`eddi://ai.labs.parser.dictionaries.integer`" —>"`eddi://ai.labs.parser.dictionaries.decimal`" —>"`eddi://ai.labs.parser.dictionaries.punctuation`" —>"`eddi://ai.labs.parser.dictionaries.email`" —>"`eddi://ai.labs.parser.dictionaries.time`" —>"`eddi://ai.labs.parser.dictionaries.ordinalNumber`" Object "`Correction`" has params "`type`" and "`config`" (optional) `Correction.type` can reference one of the EDDI out of the box types: —>"`eddi://ai.labs.parser.corrections.stemming`": Object "`config`" has params "`language`" (`String` e.g. "english") and "`lookupIfKnown`" (`Boolean`) —>"`eddi://ai.labs.parser.corrections.levenshtein`": Object "`config`" has param "`distance`" (Integer, e.g. 2) —>"`eddi://ai.labs.parser.corrections.mergedTerms`"
eddi://ai.labs.behavior	Object `Config` contains param `uri` with Link to a behavior set, e.g. `eddi://ai.labs.behavior/behaviorstore/behaviorsets/5a26d8fd17312628b46119fb?version=1`
eddi://ai.labs.output	Object Config contains param `uri` with Link to output set, e.g. `eddi://ai.labs.output/outputstore/outputsets/5a26d97417312628b46119fc?version=1`

Name	Description
setOnActions.actions	(`string`) defines which for which actions (triggered by BehaviorRules) these Properties should be set
setOnActions.setProperties	(`Array` <`Property`>: ) must respect the `Property`model: `name`, `fromObjectPath` and `scope`.
setOnActions.setProperties.name	(`string`) name of the `Property`.
setOnActions.setProperties.fromObjectPath	(`string`) path to the json object.
setOnActions.setProperties.scope	(`string`) Possible values `step`, `conversation` and `longTerm` .

Name	Description
packages	`Array` of `String`, references to `Packages`
channels	`Array` of `Channel`,
Channel.type	`String`, e.g. `"eddi://ai.labs.channel.facebook"`
Channel.config	`Config` Object. For "Facebook" this object has the params "`appSecret`" (`String`), "`verificationToken`" (`String`), "`pageAccessToken`" (`String`)