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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>!

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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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
}

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

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_4_TURBO_1106: 7000

AZURE_GPT_4_TURBO_2024_0409: 7000

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

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: string

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

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

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

...