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An assistant and modules are created and modified via API call. This guide leads you through the calls you have to do and the settings and configurations that can be set.

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  • Token of a user / service-user which has an admin role assigned → <yourToken>

  • The base URL of your application → <baseUrl>!

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To get the token and the URL check this: How to get a Token for our APIs

Assistant

Create a new assistant

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  • <baseUrl> / <yourToken>

  • <assistantId>

  • <updateAssistant> "param1": "<paramValue>" → contains variables that should be updated. Variables that are not contained in <updateAssistant> input remain unchanged

Code Block
curl --location --globoff 'https://gateway.<baseUrl>/chat/graphql' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <yourToken>' \
--data '{"query":"mutation UpdateAssistant($updateAssistantId: String!, $input: AssistantUpdateInput!) {\n  updateAssistant(id: $updateAssistantId, input: $input) {\n    name\n    id\n    languageModel\n    settings\n    chatUpload\n    modules {\n      id\n      name\n      configuration\n    }\n  }\n}","variables":{"updateAssistantId":"<assistantId>","input":{<updateAssistant>"param1": "<paramValue>"}}}'

Delete an assistant

To delete an assistant, use the following cURL. Update these placeholders:

  • <baseUrl> / <yourToken>

  • <assistantId>

An example command to update the languageModelused to perform function calling and module selection can be updated with the following curl command:

Code Block
curl --location --globoff 'https://gateway.<baseUrl>/chat/graphql' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <YourToken><yourToken>' \
--data '{"query":"mutation CreateAssistantUpdateAssistant($deleteAssistantId$updateAssistantId: String!, $input: AssistantUpdateInput!) {\n  deleteAssistant    updateAssistant(id: $updateAssistantId, input: $deleteAssistantId$input) {\n            name\n      }\n}","variables":{"deleteAssistantId":"      id    \n            languageModel    \n            settings    \n            chatUpload    \n            modules {\n                id\n                name\n                configuration   \n            }\n       }\n}","variables":{"updateAssistantId":"<assistantID>","input":{"languageModel":"AZURE_GPT_4_0613"}}}'

Delete an assistant

To delete an assistant, use the following cURL. Update these placeholders:

  • <baseUrl> / <yourToken>

  • <assistantId>

Code Block
curl --location --globoff 'https://gateway.<baseUrl>/chat/graphql' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <YourToken>' \
--data '{"query":"mutation CreateAssistant($deleteAssistantId: String!) {\n  deleteAssistant(id: $deleteAssistantId) {\n    name\n  }\n}","variables":{"deleteAssistantId":"<assistantId>"}}'

Assistant variables and settings

...

Variable

Description

Options

optional / required

name

Name of assistant

required

fallbackModule

fallbackModule if module selection could not find a suitable module

required

languageModel

Language module used for module selection

see below section with GPT-models

default: AZURE_GPT_35_TURBO

optional

chatUpload

Enable/disable upload of documents into chat

DISABLED (default)

ENABLED

optional

settings

Collection of various setting

showPdfHighlighting: Open references in same chat window on the right side. Referenced section is highlighted in the PDF

showPdfHighlighting

  • false (default)

  • true

optional

modelChoosing: type of module selection

modelChoosing

  • BY_FUNCTION_CALL

  • BY_PROMPT (default)

optional

isPinned: flag if a space is pinned (marked with a star). This is only relevant for spaces

isPinned

  • false (default)

  • true

optional

modules

List of modules to create. See Module sectiondependent configurations for details about configuration of a module

required

...

Code Block
{
  "input": {
    "name": "Internal Knowledge",
    "fallbackModule": "SearchInVectorDB",
    "languageModel": "AZURE_GPT_35_TURBO_0613",
    "chatUpload": "Disabled",
    "settings": {
        "showPdfHighlighting": true,
        "modelChoosing": "BY_FUNCTION_CALL",
        "isPinned": true        
    },
    "modules": {
      "create": [
        {
            "name": "SearchInVectorDB",
            "configuration": {
            },
            "description": null,
            "isExternal": false,
            "weight": 10000
        },
        {
            "name": "Translate",
            "configuration": {
            },
            "description": null,
            "isExternal": false,
            "weight": 6000
        }
      ]
    }
  }
}
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You can find more about assistants here: Assistants

Module

Create a module

This can be done with this cURL. Just replace the following placeholders:

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includeHistoryDocumentSummarizer_TURBO_1106"Translate "languageModel": "

Module

Example

Description

Parameter

Options

SearchInVectorDB

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106",
        "scopeIds": ["scope_1", "scope_2"],
        "searchType": "COMBINED",
        "chunkedSources": true, 
        "scopeToChatOnUpload": true,
        "
historyIncluded": false,
        "maxTokens": 7000,
        "ftsSearchLanguage": "english"
}

GPT model to be used

languageModel: string

see below section with GPT-models

default: AZURE_GPT_35_TURBO: GPT-35-turbo (0301)

Scopes that the module can access

scopeIds: object

RAG approach to search for chunks

searchType: string

VECTOR: semantic search (similarity of input and chunk embeddings)

COMBINED: hybrid search combining vector and fulltext search

Describing if chunks of same document are appended as individual sources to GPT content or merged to one source

chunkedSources: boolean

true: each chunk is a separate source

false: chunks from the same document are merged to one source

Scope restriction to documents that are uploaded. If no documents are uploaded, then scopes in scopeIds are relevant.

scopeToChatUpload: boolean

true: Scope restriction on (if document uploaded)

false: Scope restriction off

Flag that allows to include previous chat conversation in GPT-calls only if the new user input is a follow-up question

historyIncluded: boolean

true: History always included

false: History only included for follow-up questions

Max tokens used by sources and previous conversation

maxTokens: integer

Default value depends on the used languageModel languageModel

AZURE_GPT_35_TURBO: 3000

AZURE_GPT_35_TURBO_0613: 3000

AZURE_GPT_35_TURBO_16K: 14000

AZURE_GPT_4_0613: 7000

AZURE_GPT_4_32K_0613: 30000

AZURE_GPT_4_VISION_PREVIEW: 7000

AZURE_GPT_354_TURBO_1106: 3000126000

AZURE_GPT_354_TURBO_2024_06130409: 3000126000

AZURE_GPT_354o_TURBO2024_16K0513: 14000126000

AZURE_GPT_4o_42024_06130806: 7000126000

AZURE_GPT_4o_4MINI_32K2024_0613: 30000

AZURE_GPT_4_VISION_PREVIEW: 7000

AZURE_GPT_4_TURBO_1106: 70000718: 126000

Specifies the primary language used for full-text search. This should match the predominant language of the documents in the knowledge centre.

ftsSearchLanguage: string

Default: english

ContextMemorySearch

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106",
        "chunkedSources": true
}

GPT model to be used

languageModel: string

Describing if chunks of same document are appended as individual sources to GPT content or merged to one source

chunkedSources: boolean

true: each chunk is a separate source

false: chunks from the same document are merged to one source

merged to one source

DocumentSummarizer

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106"
}

GPT model to be used

languageModel: string

EmailWriter

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106"
}

GPT model to be used

languageModel: stringEmailWriter

ExternalKnowledge

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4
_TURBO_1106",
        "temperature": 0.5,
        "systemPromptExternalKnowledge": "Example system prompt",
        "maxHistoryInteraction": 2
}

GPT model to be used

languageModel: string

ExternalKnowledge

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106",
        "temperature": 0.5
}

GPT model to be used

languageModel: string

Temperature (chatGPT)

temperature: number

Range: 0-1

Default: 0.5

Temperature (chatGPT)

temperature: number

Range: 0-1

Default: 0.5

System prompt

systemPromptExternalKnowledge: string

Default system prompt is (depending of languageModel):

Code Block
You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4 architecture.\nKnowledge cutoff: 2023-04.\nCurrent date: DAYDATE.

Maximum number of user-assistant interactions taken into account in the history.

maxHistoryInteraction: number

Default: 2

InvestmentResearchDocuments

InvestmentResearchTable

LunchSearchV4

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106"
}

GPT model to be used

languageModel: string

QueryTable

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106",
        "tableConfig": TableConfig[],
        "searchExamples": ChatCompletionRequestMessage[],
        "showTableReference": boolean
        
}

GPT model to be used

languageModel: string

tbd

tableconfig:

tbd

searchExamples:

tbd

showTableReference: boolean

TranscriptInteraction

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106",
        "scopeId": "scope_1",
        "maxTokens": 7000,
        "templateName": "template.xlsx"
        
}

GPT model to be used

languageModel: string

Scope that the module can access

scopeId: string

Max tokens used by sources and previous conversation

maxTokens: integer

Name of excel template file, that will be filled with extracted values. Need to uploaded to the same scopeId

templateName: string

to uploaded to the same scopeId

templateName: string

Translate

Code Block
"configuration": {
        "languageModel": "AZURE_GPT_4_TURBO_1106"
}

GPT model to be used

languageModel: string

WhatsappWriter

Code Block
"configuration": {
        "languageModel": 
"AZURE_GPT_4_TURBO_1106"
}

GPT model to be used

languageModel: string

Available GPT models

The list below contains available GPT-models with the corresponding name that has to be used in the configurations for the assistants and modules:

Model

Key

GPT-35-turbo (0301)

AZURE_GPT_

4

35_TURBO

_1106" }

GPT model to be used

languageModel: string

WhatsappWriter

Code Block"configuration": { "languageModel": "

GPT-35-turbo (0613)

AZURE_GPT_

4

35_TURBO_

1106" }

GPT model to be used

languageModel: string

Available GPT models

The list below contains available GPT-models with the corresponding name that has to be used in the configurations for the assistants and modules:

...

GPT-35-turbo (0301): AZURE_GPT_35_TURBO

...

GPT-35-turbo (0613): AZURE_GPT_35_TURBO_0613

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GPT-35-turbo-16K (0613): AZURE_GPT_35_TURBO_16K

...

GPT-4 (0613): AZURE_GPT_4_0613

...

0613

GPT-35-turbo-16K (0613)

AZURE_GPT_35_TURBO_16K

GPT-4 (0613)

AZURE_GPT_4_0613

GPT-4-32K (0613)

AZURE_GPT_4_32K_0613

GPT-4-turbo (0409)

AZURE_GPT_4_TURBO_2024_0409

GPT-4o (2024-0513)

AZURE_GPT_4o_2024_0513

GPT-4o (2024-0806)

AZURE_GPT_4o_2024_0806

GPT-4o-mini (2024-0718)

AZURE_GPT_4o_MINI_2024_0718

GPT versions available in Preview mode (not recommended to be used in productive applications):

Model

Key

GPT-4-turbo (1106)

...

AZURE_GPT_4_TURBO_1106

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You can find more about modules here: Modules

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