Skip to main content

QGPTConversationPipeline

This model is specifically for QGPT Conversation pipelines, the model is used to group conversational prompts for instance a conversation around generating code. here are some use cases- 1. contextualized_code_generation- This is for users that want to have conversations around generating code, when there is provided context. 2. generalized_code- This is for users that want to have conversations without context around code. 3. contextualized_code- This is for users that want to have conversation around code with Context. 4. contextualized_code_workstream: this is for the users that want to use context as well as WPE information in their chat (we wiil prioritize WPE infomration, but also support other info as well)

Properties​

NameType
schemaEmbeddedModelSchema
contextualizedCodeGenerationQGPTConversationPipelineForContextualizedCodeGeneration
generalizedCodeDialogQGPTConversationPipelineForGeneralizedCodeDialog
contextualizedCodeDialogQGPTConversationPipelineForContextualizedCodeDialog
contextualizedCodeWorkstreamDialogQGPTConversationPipelineForContextualizedCodeWorkstreamDialog

Example​

import { QGPTConversationPipeline } from '@pieces.app/pieces-os-client'

// TODO: Update the object below with actual values
const example: QGPTConversationPipeline = {
    "schema": null,
    "contextualizedCodeGeneration": null,
    "generalizedCodeDialog": null,
    "contextualizedCodeDialog": null,
    "contextualizedCodeWorkstreamDialog": null,
}

console.log(example)

// Convert the instance to a JSON string
const exampleJSON: string = JSON.stringify(example)
console.log(exampleJSON)

// Parse the JSON string back to an object
const exampleParsed = JSON.parse(exampleJSON) as QGPTConversationPipeline
console.log(exampleParsed)