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
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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: $input) {\n name\n id\n languageModel\n settings\n chatUpload\n modules {\n id\n name\n configuration\n }\n }\n}","variables":{"updateAssistantId":"<assistantId>","input":{<updateAssistant>,"input":{"param1": "<paramValue>"}}}' |
An example command to update the languageModel
used to perform function calling and module selection can be updated with the following curl command:
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curl --location 'https://gateway.<baseUrl>/chat/graphql' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <yourToken>' \
--data '{"query":"mutation UpdateAssistant($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":{"languageModel":"AZURE_GPT_4_0613"}}}' |
Delete an assistant
To delete an assistant, use the following cURL. Update these placeholders:
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{ "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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Module | Example | Description | Parameter | Options | ||
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| GPT model to be used |
| see below section with GPT-models default: | ||
Scopes that the module can access |
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RAG approach to search for chunks |
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Describing if chunks of same document are appended as individual sources to GPT content or merged to one source |
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Scope restriction to documents that are uploaded. If no documents are uploaded, then scopes in scopeIds are relevant. |
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Flag that allows to include previous chat conversation in GPT-calls only if the new user input is a follow-up question |
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Max tokens used by sources and previous conversation |
| Default value depends on the used
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Specifies the primary language used for full-text search. This should match the predominant language of the documents in the knowledge centre. |
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| GPT model to be used |
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Describing if chunks of same document are appended as individual sources to GPT content or merged to one source |
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| GPT model to be used |
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| GPT model to be used |
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| GPT model to be used |
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Temperature (chatGPT) |
| Range: 0-1 Default: 0.5 | ||||
System prompt |
| Default system prompt is (depending of
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Maximum number of user-assistant interactions taken into account in the history. |
| Default: 2 | ||||
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| GPT model to be used |
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| GPT model to be used |
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tbd |
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tbd |
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tbd |
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| GPT model to be used |
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Scope that the module can access |
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Max tokens used by sources and previous conversation |
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Name of excel template file, that will be filled with extracted values. Need to uploaded to the same scopeId |
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| GPT model to be used |
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| GPT model to be used |
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Model | Key |
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GPT-35-turbo (0301) | AZURE_GPT_35_TURBO |
GPT-35-turbo (0613) | AZURE_GPT_35_TURBO_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 (2024-05-130513) | AZURE_GPT_4o_2024_0513 |
GPT-4o (2024-0806) | AZURE_GPT_4o_2024_05130806 |
GPT-4o-mini (2024-07-180718) | AZURE_GPT_4o_miniMINI_2024_0718 |
GPT versions available in Preview mode (not recommended to be used in productive applications):
Model | Key |
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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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