Passing context information

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In this section we will explain how EDDI handles the context of a conversation and which data can be passed within the scope of a conversation.
In order to talk to EDDI within a context, a POST request shall be sent to /bots/{environment}/{botId}/{conversationId}, (same way as interacting in a normal conversation in EDDI) but this time we must provide more parameters:
Send message in a conversation with a Chatbot REST API Endpoint
Element
Tags
HTTP Method
POST
API endpoint
/bots/{environment}/{botId}/{conversationId}
{environment}
(Path parameter):String Deployment environment (e.g: restricted,unrestricted,test)
{botId}
(Path parameter):String Id of the bot that you wish to continue a conversation with.
{conversationId}
(Path parameter): String Id of the conversation that you wish to send the message to.
returnDetailed (Optional)
(Query parameter):Boolean - Default : false Will return all sub results of the entire conversation steps, otherwise only public ones such as input, action, output & quickReplies.
returnCurrentStepOnly (Optional)
(Query parameter):Boolean - Default : true Will return only the latest conversationStep that has just been processed, otherwise returns all conversationSteps since the beginning of this conversation.
Request Body
a JSON object sent in the request body consists of the usual input text (message to the bot) only this time we are going to provide context information through a key value data structure ; the Context value must have one of the following : string,object or expressions.
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Example
Here is an example of a JSON object of the input data:
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{
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  "input": "",
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  "context": {
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    "onboardingOfUser": {
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      "type": "string",
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      "value": "true"
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    },
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    "userInfo": {
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      "type": "object",
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      "value": {
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        "username": "Barbara"
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      }
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    }
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  }
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}
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Additional information:
We can also use http://localhost:7070/chat to test the context parameters by providing Context Type,Context Name, Context Value. see image below :
​Callbacks​
Conversations
Output Templating
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Send message in a conversation with a Chatbot REST API Endpoint
Example