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https://github.com/danny-avila/LibreChat.git
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* 🚀 feat: Introduce data schemas and refactor models to use @librechat/data-schemas * 🚀 feat: Add installation step for Data Schemas Package in backend review workflow * chore: Add `data-schemas` package to update/rebuild packages scripts * chore: Update Dockerfile to include data-schemas package build process * fix: add missing @rollup/plugin-typescript package * chore: Add GitHub Actions workflow for publishing data-schemas package --------- Co-authored-by: Danny Avila <danny@librechat.ai>
55 lines
1.1 KiB
TypeScript
55 lines
1.1 KiB
TypeScript
import mongoose, { Schema, Document, Types } from 'mongoose';
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import type { TAttachment } from 'librechat-data-provider';
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export interface IToolCallData extends Document {
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conversationId: string;
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messageId: string;
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toolId: string;
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user: Types.ObjectId;
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result?: unknown;
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attachments?: TAttachment[];
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blockIndex?: number;
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partIndex?: number;
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createdAt?: Date;
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updatedAt?: Date;
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}
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const toolCallSchema: Schema<IToolCallData> = new Schema(
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{
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conversationId: {
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type: String,
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required: true,
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},
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messageId: {
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type: String,
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required: true,
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},
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toolId: {
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type: String,
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required: true,
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},
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user: {
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type: mongoose.Schema.Types.ObjectId,
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ref: 'User',
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required: true,
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},
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result: {
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type: mongoose.Schema.Types.Mixed,
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},
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attachments: {
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type: mongoose.Schema.Types.Mixed,
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},
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blockIndex: {
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type: Number,
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},
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partIndex: {
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type: Number,
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},
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},
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{ timestamps: true },
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);
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toolCallSchema.index({ messageId: 1, user: 1 });
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toolCallSchema.index({ conversationId: 1, user: 1 });
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export default toolCallSchema;
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