Passing context information

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:
{
  "input": "",
  "context": {
    "onboardingOfUser": {
      "type": "string",
      "value": "true"
    },
    "userInfo": {
      "type": "object",
      "value": {
        "username": "Barbara"
      }
    }
  }
}
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

Last updated 1 year ago

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.`