feat: sync with latest CL (#2)

* feat: sync with latest CL

* declare use client
This commit is contained in:
Thuc Pham
2024-11-14 12:25:48 +07:00
committed by GitHub
parent 09ab84c1a4
commit 4e1e986e79
54 changed files with 12193 additions and 2136 deletions
+1
View File
@@ -36,4 +36,5 @@ next-env.d.ts
output/
cache/
.cache/
.env
+2 -2
View File
@@ -1,7 +1,7 @@
import {
BaseChatEngine,
BaseToolWithCall,
OpenAIAgent,
LLMAgent,
QueryEngineTool,
} from "llamaindex";
import fs from "node:fs/promises";
@@ -42,7 +42,7 @@ export async function createChatEngine(documentIds?: string[], params?: any) {
tools.push(...(await createTools(toolConfig)));
}
const agent = new OpenAIAgent({
const agent = new LLMAgent({
tools,
systemPrompt: process.env.SYSTEM_PROMPT,
}) as unknown as BaseChatEngine;
+5 -2
View File
@@ -5,7 +5,6 @@ import * as dotenv from "dotenv";
import { getDocuments } from "./loader";
import { initSettings } from "./settings";
import { STORAGE_CACHE_DIR } from "./shared";
// Load environment variables from local .env file
dotenv.config();
@@ -20,9 +19,13 @@ async function getRuntime(func: any) {
async function generateDatasource() {
console.log(`Generating storage context...`);
// Split documents, create embeddings and store them in the storage context
const persistDir = process.env.STORAGE_CACHE_DIR;
if (!persistDir) {
throw new Error("STORAGE_CACHE_DIR environment variable is required!");
}
const ms = await getRuntime(async () => {
const storageContext = await storageContextFromDefaults({
persistDir: STORAGE_CACHE_DIR,
persistDir,
});
const documents = await getDocuments();
+5 -2
View File
@@ -1,10 +1,13 @@
import { SimpleDocumentStore, VectorStoreIndex } from "llamaindex";
import { storageContextFromDefaults } from "llamaindex/storage/StorageContext";
import { STORAGE_CACHE_DIR } from "./shared";
export async function getDataSource(params?: any) {
const persistDir = process.env.STORAGE_CACHE_DIR;
if (!persistDir) {
throw new Error("STORAGE_CACHE_DIR environment variable is required!");
}
const storageContext = await storageContextFromDefaults({
persistDir: `${STORAGE_CACHE_DIR}`,
persistDir,
});
const numberOfDocs = Object.keys(
+1 -1
View File
@@ -1,7 +1,7 @@
import {
FILE_EXT_TO_READER,
SimpleDirectoryReader,
} from "llamaindex/readers/SimpleDirectoryReader";
} from "llamaindex/readers/index";
export const DATA_DIR = "./data";
-1
View File
@@ -1 +0,0 @@
export const STORAGE_CACHE_DIR = "./cache";
+296
View File
@@ -0,0 +1,296 @@
import { JSONSchemaType } from "ajv";
import fs from "fs";
import { BaseTool, Settings, ToolMetadata } from "llamaindex";
import Papa from "papaparse";
import path from "path";
import { saveDocument } from "../../llamaindex/documents/helper";
type ExtractMissingCellsParameter = {
filePath: string;
};
export type MissingCell = {
rowIndex: number;
columnIndex: number;
question: string;
};
const CSV_EXTRACTION_PROMPT = `You are a data analyst. You are given a table with missing cells.
Your task is to identify the missing cells and the questions needed to fill them.
IMPORTANT: Column indices should be 0-based
# Instructions:
- Understand the entire content of the table and the topics of the table.
- Identify the missing cells and the meaning of the data in the cells.
- For each missing cell, provide the row index and the correct column index (remember: first data column is 1).
- For each missing cell, provide the question needed to fill the cell (it's important to provide the question that is relevant to the topic of the table).
- Since the cell's value should be concise, the question should request a numerical answer or a specific value.
- Finally, only return the answer in JSON format with the following schema:
{
"missing_cells": [
{
"rowIndex": number,
"columnIndex": number,
"question": string
}
]
}
- If there are no missing cells, return an empty array.
- The answer is only the JSON object, nothing else and don't wrap it inside markdown code block.
# Example:
# | | Name | Age | City |
# |----|------|-----|------|
# | 0 | John | | Paris|
# | 1 | Mary | | |
# | 2 | | 30 | |
#
# Your thoughts:
# - The table is about people's names, ages, and cities.
# - Row: 1, Column: 2 (Age column), Question: "How old is Mary? Please provide only the numerical answer."
# - Row: 1, Column: 3 (City column), Question: "In which city does Mary live? Please provide only the city name."
# Your answer:
# {
# "missing_cells": [
# {
# "rowIndex": 1,
# "columnIndex": 2,
# "question": "How old is Mary? Please provide only the numerical answer."
# },
# {
# "rowIndex": 1,
# "columnIndex": 3,
# "question": "In which city does Mary live? Please provide only the city name."
# }
# ]
# }
# Here is your task:
- Table content:
{table_content}
- Your answer:
`;
const DEFAULT_METADATA: ToolMetadata<
JSONSchemaType<ExtractMissingCellsParameter>
> = {
name: "extract_missing_cells",
description: `Use this tool to extract missing cells in a CSV file and generate questions to fill them. This tool only works with local file path.`,
parameters: {
type: "object",
properties: {
filePath: {
type: "string",
description: "The local file path to the CSV file.",
},
},
required: ["filePath"],
},
};
export interface ExtractMissingCellsParams {
metadata?: ToolMetadata<JSONSchemaType<ExtractMissingCellsParameter>>;
}
export class ExtractMissingCellsTool
implements BaseTool<ExtractMissingCellsParameter>
{
metadata: ToolMetadata<JSONSchemaType<ExtractMissingCellsParameter>>;
defaultExtractionPrompt: string;
constructor(params: ExtractMissingCellsParams) {
this.metadata = params.metadata ?? DEFAULT_METADATA;
this.defaultExtractionPrompt = CSV_EXTRACTION_PROMPT;
}
private readCsvFile(filePath: string): Promise<string[][]> {
return new Promise((resolve, reject) => {
fs.readFile(filePath, "utf8", (err, data) => {
if (err) {
reject(err);
return;
}
const parsedData = Papa.parse<string[]>(data, {
skipEmptyLines: false,
});
if (parsedData.errors.length) {
reject(parsedData.errors);
return;
}
// Ensure all rows have the same number of columns as the header
const maxColumns = parsedData.data[0].length;
const paddedRows = parsedData.data.map((row) => {
return [...row, ...Array(maxColumns - row.length).fill("")];
});
resolve(paddedRows);
});
});
}
private formatToMarkdownTable(data: string[][]): string {
if (data.length === 0) return "";
const maxColumns = data[0].length;
const headerRow = `| ${data[0].join(" | ")} |`;
const separatorRow = `| ${Array(maxColumns).fill("---").join(" | ")} |`;
const dataRows = data.slice(1).map((row) => {
return `| ${row.join(" | ")} |`;
});
return [headerRow, separatorRow, ...dataRows].join("\n");
}
async call(input: ExtractMissingCellsParameter): Promise<MissingCell[]> {
const { filePath } = input;
let tableContent: string[][];
try {
tableContent = await this.readCsvFile(filePath);
} catch (error) {
throw new Error(
`Failed to read CSV file. Make sure that you are reading a local file path (not a sandbox path).`,
);
}
const prompt = this.defaultExtractionPrompt.replace(
"{table_content}",
this.formatToMarkdownTable(tableContent),
);
const llm = Settings.llm;
const response = await llm.complete({
prompt,
});
const rawAnswer = response.text;
const parsedResponse = JSON.parse(rawAnswer) as {
missing_cells: MissingCell[];
};
if (!parsedResponse.missing_cells) {
throw new Error(
"The answer is not in the correct format. There should be a missing_cells array.",
);
}
const answer = parsedResponse.missing_cells;
return answer;
}
}
type FillMissingCellsParameter = {
filePath: string;
cells: {
rowIndex: number;
columnIndex: number;
answer: string;
}[];
};
const FILL_CELLS_METADATA: ToolMetadata<
JSONSchemaType<FillMissingCellsParameter>
> = {
name: "fill_missing_cells",
description: `Use this tool to fill missing cells in a CSV file with provided answers. This tool only works with local file path.`,
parameters: {
type: "object",
properties: {
filePath: {
type: "string",
description: "The local file path to the CSV file.",
},
cells: {
type: "array",
items: {
type: "object",
properties: {
rowIndex: { type: "number" },
columnIndex: { type: "number" },
answer: { type: "string" },
},
required: ["rowIndex", "columnIndex", "answer"],
},
description: "Array of cells to fill with their answers",
},
},
required: ["filePath", "cells"],
},
};
export interface FillMissingCellsParams {
metadata?: ToolMetadata<JSONSchemaType<FillMissingCellsParameter>>;
}
export class FillMissingCellsTool
implements BaseTool<FillMissingCellsParameter>
{
metadata: ToolMetadata<JSONSchemaType<FillMissingCellsParameter>>;
constructor(params: FillMissingCellsParams = {}) {
this.metadata = params.metadata ?? FILL_CELLS_METADATA;
}
async call(input: FillMissingCellsParameter): Promise<string> {
const { filePath, cells } = input;
// Read the CSV file
const fileContent = await new Promise<string>((resolve, reject) => {
fs.readFile(filePath, "utf8", (err, data) => {
if (err) {
reject(err);
} else {
resolve(data);
}
});
});
// Parse CSV with PapaParse
const parseResult = Papa.parse<string[]>(fileContent, {
header: false, // Ensure the header is not treated as a separate object
skipEmptyLines: false, // Ensure empty lines are not skipped
});
if (parseResult.errors.length) {
throw new Error(
"Failed to parse CSV file: " + parseResult.errors[0].message,
);
}
const rows = parseResult.data;
// Fill the cells with answers
for (const cell of cells) {
// Adjust rowIndex to start from 1 for data rows
const adjustedRowIndex = cell.rowIndex + 1;
if (
adjustedRowIndex < rows.length &&
cell.columnIndex < rows[adjustedRowIndex].length
) {
rows[adjustedRowIndex][cell.columnIndex] = cell.answer;
}
}
// Convert back to CSV format
const updatedContent = Papa.unparse(rows, {
delimiter: parseResult.meta.delimiter,
});
// Use the helper function to write the file
const parsedPath = path.parse(filePath);
const newFileName = `${parsedPath.name}-filled${parsedPath.ext}`;
const newFilePath = path.join("output/tools", newFileName);
const newFileUrl = await saveDocument(newFilePath, updatedContent);
return (
"Successfully filled missing cells in the CSV file. File URL to show to the user: " +
newFileUrl
);
}
}
+30
View File
@@ -1,11 +1,19 @@
import { BaseToolWithCall } from "llamaindex";
import { ToolsFactory } from "llamaindex/tools/ToolsFactory";
import fs from "node:fs/promises";
import path from "node:path";
import { CodeGeneratorTool, CodeGeneratorToolParams } from "./code-generator";
import {
DocumentGenerator,
DocumentGeneratorParams,
} from "./document-generator";
import { DuckDuckGoSearchTool, DuckDuckGoToolParams } from "./duckduckgo";
import {
ExtractMissingCellsParams,
ExtractMissingCellsTool,
FillMissingCellsParams,
FillMissingCellsTool,
} from "./form-filling";
import { ImgGeneratorTool, ImgGeneratorToolParams } from "./img-gen";
import { InterpreterTool, InterpreterToolParams } from "./interpreter";
import { OpenAPIActionTool } from "./openapi-action";
@@ -54,6 +62,12 @@ const toolFactory: Record<string, ToolCreator> = {
document_generator: async (config: unknown) => {
return [new DocumentGenerator(config as DocumentGeneratorParams)];
},
form_filling: async (config: unknown) => {
return [
new ExtractMissingCellsTool(config as ExtractMissingCellsParams),
new FillMissingCellsTool(config as FillMissingCellsParams),
];
},
};
async function createLocalTools(
@@ -70,3 +84,19 @@ async function createLocalTools(
return tools;
}
export async function getConfiguredTools(
configPath?: string,
): Promise<BaseToolWithCall[]> {
const configFile = path.join(configPath ?? "config", "tools.json");
const toolConfig = JSON.parse(await fs.readFile(configFile, "utf8"));
const tools = await createTools(toolConfig);
return tools;
}
export async function getTool(
toolName: string,
): Promise<BaseToolWithCall | undefined> {
const tools = await getConfiguredTools();
return tools.find((tool) => tool.metadata.name === toolName);
}
+9 -6
View File
@@ -111,13 +111,16 @@ export class InterpreterTool implements BaseTool<InterpreterParameter> {
// upload files to sandbox
if (input.sandboxFiles) {
console.log(`Uploading ${input.sandboxFiles.length} files to sandbox`);
for (const filePath of input.sandboxFiles) {
const fileName = path.basename(filePath);
const localFilePath = path.join(this.uploadedFilesDir, fileName);
const content = fs.readFileSync(localFilePath);
await this.codeInterpreter?.files.write(filePath, content);
try {
for (const filePath of input.sandboxFiles) {
const fileName = path.basename(filePath);
const localFilePath = path.join(this.uploadedFilesDir, fileName);
const content = fs.readFileSync(localFilePath);
await this.codeInterpreter?.files.write(filePath, content);
}
} catch (error) {
console.error("Got error when uploading files to sandbox", error);
}
console.log(`Uploaded ${input.sandboxFiles.length} files to sandbox`);
}
return this.codeInterpreter;
}
+15 -18
View File
@@ -3,6 +3,7 @@ import crypto from "node:crypto";
import fs from "node:fs";
import path from "node:path";
import { getExtractors } from "../../engine/loader";
import { DocumentFile } from "../streaming/annotations";
const MIME_TYPE_TO_EXT: Record<string, string> = {
"application/pdf": "pdf",
@@ -12,29 +13,22 @@ const MIME_TYPE_TO_EXT: Record<string, string> = {
"docx",
};
const UPLOADED_FOLDER = "output/uploaded";
export type FileMetadata = {
id: string;
name: string;
url: string;
refs: string[];
};
export const UPLOADED_FOLDER = "output/uploaded";
export async function storeAndParseFile(
filename: string,
name: string,
fileBuffer: Buffer,
mimeType: string,
): Promise<FileMetadata> {
const fileMetadata = await storeFile(filename, fileBuffer, mimeType);
const documents: Document[] = await parseFile(fileBuffer, filename, mimeType);
): Promise<DocumentFile> {
const file = await storeFile(name, fileBuffer, mimeType);
const documents: Document[] = await parseFile(fileBuffer, name, mimeType);
// Update document IDs in the file metadata
fileMetadata.refs = documents.map((document) => document.id_ as string);
return fileMetadata;
file.refs = documents.map((document) => document.id_ as string);
return file;
}
export async function storeFile(
filename: string,
name: string,
fileBuffer: Buffer,
mimeType: string,
) {
@@ -42,15 +36,17 @@ export async function storeFile(
if (!fileExt) throw new Error(`Unsupported document type: ${mimeType}`);
const fileId = crypto.randomUUID();
const newFilename = `${fileId}_${sanitizeFileName(filename)}`;
const newFilename = `${sanitizeFileName(name)}_${fileId}.${fileExt}`;
const filepath = path.join(UPLOADED_FOLDER, newFilename);
const fileUrl = await saveDocument(filepath, fileBuffer);
return {
id: fileId,
name: newFilename,
size: fileBuffer.length,
type: fileExt,
url: fileUrl,
refs: [] as string[],
} as FileMetadata;
} as DocumentFile;
}
export async function parseFile(
@@ -104,5 +100,6 @@ export async function saveDocument(filepath: string, content: string | Buffer) {
}
function sanitizeFileName(fileName: string) {
return fileName.replace(/[^a-zA-Z0-9_.-]/g, "_");
// Remove file extension and sanitize
return fileName.split(".")[0].replace(/[^a-zA-Z0-9_-]/g, "_");
}
+12 -2
View File
@@ -3,6 +3,7 @@ import {
IngestionPipeline,
Settings,
SimpleNodeParser,
storageContextFromDefaults,
VectorStoreIndex,
} from "llamaindex";
@@ -28,11 +29,20 @@ export async function runPipeline(
return documents.map((document) => document.id_);
} else {
// Initialize a new index with the documents
const newIndex = await VectorStoreIndex.fromDocuments(documents);
newIndex.storageContext.docStore.persist();
console.log(
"Got empty index, created new index with the uploaded documents",
);
const persistDir = process.env.STORAGE_CACHE_DIR;
if (!persistDir) {
throw new Error("STORAGE_CACHE_DIR environment variable is required!");
}
const storageContext = await storageContextFromDefaults({
persistDir,
});
const newIndex = await VectorStoreIndex.fromDocuments(documents, {
storageContext,
});
await newIndex.storageContext.docStore.persist();
return documents.map((document) => document.id_);
}
}
+25 -34
View File
@@ -1,41 +1,39 @@
import { Document, LLamaCloudFileService, VectorStoreIndex } from "llamaindex";
import { LlamaCloudIndex } from "llamaindex/cloud/LlamaCloudIndex";
import fs from "node:fs/promises";
import path from "node:path";
import { FileMetadata, parseFile, storeFile } from "./helper";
import { DocumentFile } from "../streaming/annotations";
import { parseFile, storeFile } from "./helper";
import { runPipeline } from "./pipeline";
export async function uploadDocument(
index: VectorStoreIndex | LlamaCloudIndex | null,
filename: string,
name: string,
raw: string,
): Promise<FileMetadata> {
): Promise<DocumentFile> {
const [header, content] = raw.split(",");
const mimeType = header.replace("data:", "").replace(";base64", "");
const fileBuffer = Buffer.from(content, "base64");
// Store file
const fileMetadata = await storeFile(filename, fileBuffer, mimeType);
const fileMetadata = await storeFile(name, fileBuffer, mimeType);
// If the file is csv and has codeExecutorTool, we don't need to index the file.
if (mimeType === "text/csv" && (await hasCodeExecutorTool())) {
// Do not index csv files
if (mimeType === "text/csv") {
return fileMetadata;
}
let documentIds: string[] = [];
if (index instanceof LlamaCloudIndex) {
// trigger LlamaCloudIndex API to upload the file and run the pipeline
const projectId = await index.getProjectId();
const pipelineId = await index.getPipelineId();
try {
const documentId = await LLamaCloudFileService.addFileToPipeline(
projectId,
pipelineId,
new File([fileBuffer], filename, { type: mimeType }),
{ private: "true" },
);
// Update file metadata with document IDs
fileMetadata.refs = [documentId];
return fileMetadata;
documentIds = [
await LLamaCloudFileService.addFileToPipeline(
projectId,
pipelineId,
new File([fileBuffer], name, { type: mimeType }),
{ private: "true" },
),
];
} catch (error) {
if (
error instanceof ReferenceError &&
@@ -47,24 +45,17 @@ export async function uploadDocument(
}
throw error;
}
} else {
// run the pipeline for other vector store indexes
const documents: Document[] = await parseFile(
fileBuffer,
fileMetadata.name,
mimeType,
);
documentIds = await runPipeline(index, documents);
}
// run the pipeline for other vector store indexes
const documents: Document[] = await parseFile(fileBuffer, filename, mimeType);
// Update file metadata with document IDs
fileMetadata.refs = documents.map((document) => document.id_ as string);
// Run the pipeline
await runPipeline(index, documents);
fileMetadata.refs = documentIds;
return fileMetadata;
}
const hasCodeExecutorTool = async () => {
const codeExecutorTools = ["interpreter", "artifact"];
const configFile = path.join("config", "tools.json");
const toolConfig = JSON.parse(await fs.readFile(configFile, "utf8"));
const localTools = toolConfig.local || {};
// Check if local tools contains codeExecutorTools
return codeExecutorTools.some((tool) => localTools[tool] !== undefined);
};
@@ -1,19 +1,21 @@
import { JSONValue, Message } from "ai";
import { MessageContent, MessageContentDetail } from "llamaindex";
import {
ChatMessage,
MessageContent,
MessageContentDetail,
MessageType,
} from "llamaindex";
import { UPLOADED_FOLDER } from "../documents/helper";
export type DocumentFileType = "csv" | "pdf" | "txt" | "docx";
export type UploadedFileMeta = {
export type DocumentFile = {
id: string;
name: string;
url?: string;
refs?: string[];
};
export type DocumentFile = {
type: DocumentFileType;
size: number;
type: string;
url: string;
metadata: UploadedFileMeta;
refs?: string[];
};
type Annotation = {
@@ -30,7 +32,7 @@ export function isValidMessages(messages: Message[]): boolean {
export function retrieveDocumentIds(messages: Message[]): string[] {
// retrieve document Ids from the annotations of all messages (if any)
const documentFiles = retrieveDocumentFiles(messages);
return documentFiles.map((file) => file.metadata?.refs || []).flat();
return documentFiles.map((file) => file.refs || []).flat();
}
export function retrieveDocumentFiles(messages: Message[]): DocumentFile[] {
@@ -62,17 +64,55 @@ export function retrieveMessageContent(messages: Message[]): MessageContent {
];
}
export function convertToChatHistory(messages: Message[]): ChatMessage[] {
if (!messages || !Array.isArray(messages)) {
return [];
}
const agentHistory = retrieveAgentHistoryMessage(messages);
if (agentHistory) {
const previousMessages = messages.slice(0, -1);
return [...previousMessages, agentHistory].map((msg) => ({
role: msg.role as MessageType,
content: msg.content,
}));
}
return messages.map((msg) => ({
role: msg.role as MessageType,
content: msg.content,
}));
}
function retrieveAgentHistoryMessage(
messages: Message[],
maxAgentMessages = 10,
): ChatMessage | null {
const agentAnnotations = getAnnotations<{ agent: string; text: string }>(
messages,
{ role: "assistant", type: "agent" },
).slice(-maxAgentMessages);
if (agentAnnotations.length > 0) {
const messageContent =
"Here is the previous conversation of agents:\n" +
agentAnnotations.map((annotation) => annotation.data.text).join("\n");
return {
role: "assistant",
content: messageContent,
};
}
return null;
}
function getFileContent(file: DocumentFile): string {
const fileMetadata = file.metadata;
let defaultContent = `=====File: ${fileMetadata.name}=====\n`;
let defaultContent = `=====File: ${file.name}=====\n`;
// Include file URL if it's available
const urlPrefix = process.env.FILESERVER_URL_PREFIX;
let urlContent = "";
if (urlPrefix) {
if (fileMetadata.url) {
urlContent = `File URL: ${fileMetadata.url}\n`;
if (file.url) {
urlContent = `File URL: ${file.url}\n`;
} else {
urlContent = `File URL (instruction: do not update this file URL yourself): ${urlPrefix}/output/uploaded/${fileMetadata.name}\n`;
urlContent = `File URL (instruction: do not update this file URL yourself): ${urlPrefix}/output/uploaded/${file.name}\n`;
}
} else {
console.warn(
@@ -82,13 +122,17 @@ function getFileContent(file: DocumentFile): string {
defaultContent += urlContent;
// Include document IDs if it's available
if (fileMetadata.refs) {
defaultContent += `Document IDs: ${fileMetadata.refs}\n`;
if (file.refs) {
defaultContent += `Document IDs: ${file.refs}\n`;
}
// Include sandbox file paths
const sandboxFilePath = `/tmp/${fileMetadata.name}`;
const sandboxFilePath = `/tmp/${file.name}`;
defaultContent += `Sandbox file path (instruction: only use sandbox path for artifact or code interpreter tool): ${sandboxFilePath}\n`;
// Include local file path
const localFilePath = `${UPLOADED_FOLDER}/${file.name}`;
defaultContent += `Local file path (instruction: use for local tool that requires a local path): ${localFilePath}\n`;
return defaultContent;
}
@@ -132,13 +176,10 @@ function retrieveLatestArtifact(messages: Message[]): MessageContentDetail[] {
}
function convertAnnotations(messages: Message[]): MessageContentDetail[] {
// annotations from the last user message that has annotations
const annotations: Annotation[] =
messages
.slice()
.reverse()
.find((message) => message.role === "user" && message.annotations)
?.annotations?.map(getValidAnnotation) || [];
// get all annotations from user messages
const annotations: Annotation[] = messages
.filter((message) => message.role === "user" && message.annotations)
.flatMap((message) => message.annotations?.map(getValidAnnotation) || []);
if (annotations.length === 0) return [];
const content: MessageContentDetail[] = [];
+10 -6
View File
@@ -11,19 +11,23 @@ export const dynamic = "force-dynamic";
export async function POST(request: NextRequest) {
try {
const {
filename,
name,
base64,
params,
}: { filename: string; base64: string; params?: any } =
await request.json();
if (!base64 || !filename) {
}: {
name: string;
base64: string;
params?: any;
} = await request.json();
if (!base64 || !name) {
return NextResponse.json(
{ error: "base64 and filename is required in the request body" },
{ error: "base64 and name is required in the request body" },
{ status: 400 },
);
}
const index = await getDataSource(params);
return NextResponse.json(await uploadDocument(index, filename, base64));
const documentFile = await uploadDocument(index, name, base64);
return NextResponse.json(documentFile);
} catch (error) {
console.error("[Upload API]", error);
return NextResponse.json(
+3 -3
View File
@@ -9,9 +9,9 @@ import { DATA_DIR } from "../../chat/engine/loader";
*/
export async function GET(
_request: NextRequest,
{ params }: { params: { slug: string[] } },
{ params }: { params: Promise<{ slug: string[] }> },
) {
const slug = params.slug;
const slug = (await params).slug;
if (!slug) {
return NextResponse.json({ detail: "Missing file slug" }, { status: 400 });
@@ -21,7 +21,7 @@ export async function GET(
return NextResponse.json({ detail: "Invalid file path" }, { status: 400 });
}
const [folder, ...pathTofile] = params.slug; // data, file.pdf
const [folder, ...pathTofile] = slug; // data, file.pdf
const allowedFolders = ["data", "output"];
if (!allowedFolders.includes(folder)) {
+12 -42
View File
@@ -1,57 +1,27 @@
"use client";
import { ChatSection as ChatSectionUI } from "@llamaindex/chat-ui";
import "@llamaindex/chat-ui/styles/code.css";
import "@llamaindex/chat-ui/styles/katex.css";
import "@llamaindex/chat-ui/styles/pdf.css";
import { useChat } from "ai/react";
import { useState } from "react";
import { ChatInput, ChatMessages } from "./ui/chat";
import CustomChatInput from "./ui/chat/chat-input";
import CustomChatMessages from "./ui/chat/chat-messages";
import { useClientConfig } from "./ui/chat/hooks/use-config";
export default function ChatSection() {
const { backend } = useClientConfig();
const [requestData, setRequestData] = useState<any>();
const {
messages,
input,
isLoading,
handleSubmit,
handleInputChange,
reload,
stop,
append,
setInput,
} = useChat({
body: { data: requestData },
const handler = useChat({
api: `${backend}/api/chat`,
headers: {
"Content-Type": "application/json", // using JSON because of vercel/ai 2.2.26
},
onError: (error: unknown) => {
if (!(error instanceof Error)) throw error;
const message = JSON.parse(error.message);
alert(message.detail);
alert(JSON.parse(error.message).detail);
},
sendExtraMessageFields: true,
});
return (
<div className="space-y-4 w-full h-full flex flex-col">
<ChatMessages
messages={messages}
isLoading={isLoading}
reload={reload}
stop={stop}
append={append}
/>
<ChatInput
input={input}
handleSubmit={handleSubmit}
handleInputChange={handleInputChange}
isLoading={isLoading}
messages={messages}
append={append}
setInput={setInput}
requestParams={{ params: requestData }}
setRequestData={setRequestData}
/>
</div>
<ChatSectionUI handler={handler} className="w-full h-full">
<CustomChatMessages />
<CustomChatInput />
</ChatSectionUI>
);
}
-1
View File
@@ -1 +0,0 @@
Using the chat component from https://github.com/marcusschiesser/ui (based on https://ui.shadcn.com/)
-28
View File
@@ -1,28 +0,0 @@
import { PauseCircle, RefreshCw } from "lucide-react";
import { Button } from "../button";
import { ChatHandler } from "./chat.interface";
export default function ChatActions(
props: Pick<ChatHandler, "stop" | "reload"> & {
showReload?: boolean;
showStop?: boolean;
},
) {
return (
<div className="space-x-4">
{props.showStop && (
<Button variant="outline" size="sm" onClick={props.stop}>
<PauseCircle className="mr-2 h-4 w-4" />
Stop generating
</Button>
)}
{props.showReload && (
<Button variant="outline" size="sm" onClick={props.reload}>
<RefreshCw className="mr-2 h-4 w-4" />
Regenerate
</Button>
)}
</div>
);
}
@@ -1,8 +1,10 @@
import { useChatMessage } from "@llamaindex/chat-ui";
import { User2 } from "lucide-react";
import Image from "next/image";
export default function ChatAvatar({ role }: { role: string }) {
if (role === "user") {
export function ChatMessageAvatar() {
const { message } = useChatMessage();
if (message.role === "user") {
return (
<div className="flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border bg-background shadow">
<User2 className="h-4 w-4" />
+56 -111
View File
@@ -1,33 +1,13 @@
import { JSONValue } from "ai";
import React from "react";
import { Button } from "../button";
import { DocumentPreview } from "../document-preview";
import FileUploader from "../file-uploader";
import { Textarea } from "../textarea";
import UploadImagePreview from "../upload-image-preview";
import { ChatHandler } from "./chat.interface";
import { useFile } from "./hooks/use-file";
import { LlamaCloudSelector } from "./widgets/LlamaCloudSelector";
"use client";
const ALLOWED_EXTENSIONS = ["png", "jpg", "jpeg", "csv", "pdf", "txt", "docx"];
import { ChatInput, useChatUI, useFile } from "@llamaindex/chat-ui";
import { DocumentInfo, ImagePreview } from "@llamaindex/chat-ui/widgets";
import { LlamaCloudSelector } from "./custom/llama-cloud-selector";
import { useClientConfig } from "./hooks/use-config";
export default function ChatInput(
props: Pick<
ChatHandler,
| "isLoading"
| "input"
| "onFileUpload"
| "onFileError"
| "handleSubmit"
| "handleInputChange"
| "messages"
| "setInput"
| "append"
> & {
requestParams?: any;
setRequestData?: React.Dispatch<any>;
},
) {
export default function CustomChatInput() {
const { requestData, isLoading, input } = useChatUI();
const { backend } = useClientConfig();
const {
imageUrl,
setImageUrl,
@@ -36,101 +16,66 @@ export default function ChatInput(
removeDoc,
reset,
getAnnotations,
} = useFile();
// default submit function does not handle including annotations in the message
// so we need to use append function to submit new message with annotations
const handleSubmitWithAnnotations = (
e: React.FormEvent<HTMLFormElement>,
annotations: JSONValue[] | undefined,
) => {
e.preventDefault();
props.append!({
content: props.input,
role: "user",
createdAt: new Date(),
annotations,
});
props.setInput!("");
};
const onSubmit = (e: React.FormEvent<HTMLFormElement>) => {
e.preventDefault();
const annotations = getAnnotations();
if (annotations.length) {
handleSubmitWithAnnotations(e, annotations);
return reset();
}
props.handleSubmit(e);
};
} = useFile({ uploadAPI: `${backend}/api/chat/upload` });
/**
* Handles file uploads. Overwrite to hook into the file upload behavior.
* @param file The file to upload
*/
const handleUploadFile = async (file: File) => {
if (imageUrl || files.length > 0) {
alert("You can only upload one file at a time.");
// There's already an image uploaded, only allow one image at a time
if (imageUrl) {
alert("You can only upload one image at a time.");
return;
}
try {
await uploadFile(file, props.requestParams);
props.onFileUpload?.(file);
// Upload the file and send with it the current request data
await uploadFile(file, requestData);
} catch (error: any) {
const onFileUploadError = props.onFileError || window.alert;
onFileUploadError(error.message);
// Show error message if upload fails
alert(error.message);
}
};
const handleKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
if (e.key === "Enter" && !e.shiftKey) {
e.preventDefault();
onSubmit(e as unknown as React.FormEvent<HTMLFormElement>);
}
};
// Get references to the upload files in message annotations format, see https://github.com/run-llama/chat-ui/blob/main/packages/chat-ui/src/hook/use-file.tsx#L56
const annotations = getAnnotations();
return (
<form
onSubmit={onSubmit}
className="rounded-xl bg-white p-4 shadow-xl space-y-4 shrink-0"
<ChatInput
className="shadow-xl rounded-xl"
resetUploadedFiles={reset}
annotations={annotations}
>
{imageUrl && (
<UploadImagePreview url={imageUrl} onRemove={() => setImageUrl(null)} />
)}
{files.length > 0 && (
<div className="flex gap-4 w-full overflow-auto py-2">
{files.map((file, index) => (
<DocumentPreview
key={file.metadata?.id ?? `${file.filename}-${index}`}
file={file}
onRemove={() => removeDoc(file)}
/>
))}
</div>
)}
<div className="flex w-full items-start justify-between gap-4 ">
<Textarea
id="chat-input"
autoFocus
name="message"
placeholder="Type a message"
className="flex-1 min-h-0 h-[40px]"
value={props.input}
onChange={props.handleInputChange}
onKeyDown={handleKeyDown}
/>
<FileUploader
onFileUpload={handleUploadFile}
onFileError={props.onFileError}
config={{
allowedExtensions: ALLOWED_EXTENSIONS,
disabled: props.isLoading,
}}
/>
{process.env.NEXT_PUBLIC_USE_LLAMACLOUD === "true" &&
props.setRequestData && (
<LlamaCloudSelector setRequestData={props.setRequestData} />
)}
<Button type="submit" disabled={props.isLoading || !props.input.trim()}>
Send message
</Button>
<div>
{/* Image preview section */}
{imageUrl && (
<ImagePreview url={imageUrl} onRemove={() => setImageUrl(null)} />
)}
{/* Document previews section */}
{files.length > 0 && (
<div className="flex gap-4 w-full overflow-auto py-2">
{files.map((file) => (
<DocumentInfo
key={file.id}
document={{ url: file.url, sources: [] }}
className="mb-2 mt-2"
onRemove={() => removeDoc(file)}
/>
))}
</div>
)}
</div>
</form>
<ChatInput.Form>
<ChatInput.Field />
<ChatInput.Upload onUpload={handleUploadFile} />
<LlamaCloudSelector />
<ChatInput.Submit
disabled={
isLoading || (!input.trim() && files.length === 0 && !imageUrl)
}
/>
</ChatInput.Form>
</ChatInput>
);
}
@@ -0,0 +1,38 @@
import {
ChatMessage,
ContentPosition,
getSourceAnnotationData,
useChatMessage,
useChatUI,
} from "@llamaindex/chat-ui";
import { Markdown } from "./custom/markdown";
import { ToolAnnotations } from "./tools/chat-tools";
export function ChatMessageContent() {
const { isLoading, append } = useChatUI();
const { message } = useChatMessage();
const customContent = [
{
// override the default markdown component
position: ContentPosition.MARKDOWN,
component: (
<Markdown
content={message.content}
sources={getSourceAnnotationData(message.annotations)?.[0]}
/>
),
},
{
// add the tool annotations after events
position: ContentPosition.AFTER_EVENTS,
component: <ToolAnnotations message={message} />,
},
];
return (
<ChatMessage.Content
content={customContent}
isLoading={isLoading}
append={append}
/>
);
}
@@ -1,153 +0,0 @@
import { icons, LucideIcon } from "lucide-react";
import { useMemo } from "react";
import { Button } from "../../button";
import {
Drawer,
DrawerClose,
DrawerContent,
DrawerHeader,
DrawerTitle,
DrawerTrigger,
} from "../../drawer";
import { AgentEventData } from "../index";
import Markdown from "./markdown";
const AgentIcons: Record<string, LucideIcon> = {
bot: icons.Bot,
researcher: icons.ScanSearch,
writer: icons.PenLine,
reviewer: icons.MessageCircle,
publisher: icons.BookCheck,
};
type MergedEvent = {
agent: string;
texts: string[];
icon: LucideIcon;
};
export function ChatAgentEvents({
data,
isFinished,
}: {
data: AgentEventData[];
isFinished: boolean;
}) {
const events = useMemo(() => mergeAdjacentEvents(data), [data]);
return (
<div className="pl-2">
<div className="text-sm space-y-4">
{events.map((eventItem, index) => (
<AgentEventContent
key={index}
event={eventItem}
isLast={index === events.length - 1}
isFinished={isFinished}
/>
))}
</div>
</div>
);
}
const MAX_TEXT_LENGTH = 150;
function AgentEventContent({
event,
isLast,
isFinished,
}: {
event: MergedEvent;
isLast: boolean;
isFinished: boolean;
}) {
const { agent, texts } = event;
const AgentIcon = event.icon;
return (
<div className="flex gap-4 border-b pb-4 items-center fadein-agent">
<div className="w-[100px] flex flex-col items-center gap-2">
<div className="relative">
{isLast && !isFinished && (
<div className="absolute -top-0 -right-4">
<span className="relative flex h-3 w-3">
<span className="animate-ping absolute inline-flex h-full w-full rounded-full bg-sky-400 opacity-75"></span>
<span className="relative inline-flex rounded-full h-3 w-3 bg-sky-500"></span>
</span>
</div>
)}
<AgentIcon />
</div>
<span className="font-bold">{agent}</span>
</div>
<ul className="flex-1 list-decimal space-y-2">
{texts.map((text, index) => (
<li className="whitespace-break-spaces" key={index}>
{text.length <= MAX_TEXT_LENGTH && <span>{text}</span>}
{text.length > MAX_TEXT_LENGTH && (
<div>
<span>{text.slice(0, MAX_TEXT_LENGTH)}...</span>
<AgentEventDialog
content={text}
title={`Agent "${agent}" - Step: ${index + 1}`}
>
<span className="font-semibold underline cursor-pointer ml-2">
Show more
</span>
</AgentEventDialog>
</div>
)}
</li>
))}
</ul>
</div>
);
}
type AgentEventDialogProps = {
title: string;
content: string;
children: React.ReactNode;
};
function AgentEventDialog(props: AgentEventDialogProps) {
return (
<Drawer direction="left">
<DrawerTrigger asChild>{props.children}</DrawerTrigger>
<DrawerContent className="w-3/5 mt-24 h-full max-h-[96%] ">
<DrawerHeader className="flex justify-between">
<div className="space-y-2">
<DrawerTitle>{props.title}</DrawerTitle>
</div>
<DrawerClose asChild>
<Button variant="outline">Close</Button>
</DrawerClose>
</DrawerHeader>
<div className="m-4 overflow-auto">
<Markdown content={props.content} />
</div>
</DrawerContent>
</Drawer>
);
}
function mergeAdjacentEvents(events: AgentEventData[]): MergedEvent[] {
const mergedEvents: MergedEvent[] = [];
for (const event of events) {
const lastMergedEvent = mergedEvents[mergedEvents.length - 1];
if (lastMergedEvent && lastMergedEvent.agent === event.agent) {
// If the last event in mergedEvents has the same non-null agent, add the title to it
lastMergedEvent.texts.push(event.text);
} else {
// Otherwise, create a new merged event
mergedEvents.push({
agent: event.agent,
texts: [event.text],
icon: AgentIcons[event.agent] ?? icons.Bot,
});
}
}
return mergedEvents;
}
@@ -1,50 +0,0 @@
import { ChevronDown, ChevronRight, Loader2 } from "lucide-react";
import { useState } from "react";
import { Button } from "../../button";
import {
Collapsible,
CollapsibleContent,
CollapsibleTrigger,
} from "../../collapsible";
import { EventData } from "../index";
export function ChatEvents({
data,
isLoading,
}: {
data: EventData[];
isLoading: boolean;
}) {
const [isOpen, setIsOpen] = useState(false);
const buttonLabel = isOpen ? "Hide events" : "Show events";
const EventIcon = isOpen ? (
<ChevronDown className="h-4 w-4" />
) : (
<ChevronRight className="h-4 w-4" />
);
return (
<div className="border-l-2 border-indigo-400 pl-2">
<Collapsible open={isOpen} onOpenChange={setIsOpen}>
<CollapsibleTrigger asChild>
<Button variant="secondary" className="space-x-2">
{isLoading ? <Loader2 className="h-4 w-4 animate-spin" /> : null}
<span>{buttonLabel}</span>
{EventIcon}
</Button>
</CollapsibleTrigger>
<CollapsibleContent asChild>
<div className="mt-4 text-sm space-y-2">
{data.map((eventItem, index) => (
<div className="whitespace-break-spaces" key={index}>
{eventItem.title}
</div>
))}
</div>
</CollapsibleContent>
</Collapsible>
</div>
);
}
@@ -1,16 +0,0 @@
import { DocumentPreview } from "../../document-preview";
import { DocumentFileData } from "../index";
export function ChatFiles({ data }: { data: DocumentFileData }) {
if (!data.files.length) return null;
return (
<div className="flex gap-2 items-center">
{data.files.map((file, index) => (
<DocumentPreview
key={file.metadata?.id ?? `${file.filename}-${index}`}
file={file}
/>
))}
</div>
);
}
@@ -1,17 +0,0 @@
import Image from "next/image";
import { type ImageData } from "../index";
export function ChatImage({ data }: { data: ImageData }) {
return (
<div className="rounded-md max-w-[200px] shadow-md">
<Image
src={data.url}
width={0}
height={0}
sizes="100vw"
style={{ width: "100%", height: "auto" }}
alt=""
/>
</div>
);
}
@@ -1,173 +0,0 @@
import { Check, Copy } from "lucide-react";
import { useMemo } from "react";
import { Button } from "../../button";
import { PreviewCard } from "../../document-preview";
import {
HoverCard,
HoverCardContent,
HoverCardTrigger,
} from "../../hover-card";
import { cn } from "../../lib/utils";
import { useCopyToClipboard } from "../hooks/use-copy-to-clipboard";
import { DocumentFileType, SourceData, SourceNode } from "../index";
import PdfDialog from "../widgets/PdfDialog";
type Document = {
url: string;
sources: SourceNode[];
};
export function ChatSources({ data }: { data: SourceData }) {
const documents: Document[] = useMemo(() => {
// group nodes by document (a document must have a URL)
const nodesByUrl: Record<string, SourceNode[]> = {};
data.nodes.forEach((node) => {
const key = node.url;
nodesByUrl[key] ??= [];
nodesByUrl[key].push(node);
});
// convert to array of documents
return Object.entries(nodesByUrl).map(([url, sources]) => ({
url,
sources,
}));
}, [data.nodes]);
if (documents.length === 0) return null;
return (
<div className="space-y-2 text-sm">
<div className="font-semibold text-lg">Sources:</div>
<div className="flex gap-3 flex-wrap">
{documents.map((document) => {
return <DocumentInfo key={document.url} document={document} />;
})}
</div>
</div>
);
}
function SourceInfo({ node, index }: { node?: SourceNode; index: number }) {
if (!node) return <SourceNumberButton index={index} />;
return (
<HoverCard>
<HoverCardTrigger
className="cursor-default"
onClick={(e) => {
e.preventDefault();
e.stopPropagation();
}}
>
<SourceNumberButton
index={index}
className="hover:text-white hover:bg-primary"
/>
</HoverCardTrigger>
<HoverCardContent className="w-[400px]">
<NodeInfo nodeInfo={node} />
</HoverCardContent>
</HoverCard>
);
}
export function SourceNumberButton({
index,
className,
}: {
index: number;
className?: string;
}) {
return (
<span
className={cn(
"text-xs w-5 h-5 rounded-full bg-gray-100 inline-flex items-center justify-center",
className,
)}
>
{index + 1}
</span>
);
}
export function DocumentInfo({
document,
className,
}: {
document: Document;
className?: string;
}) {
const { url, sources } = document;
// Extract filename from URL
const urlParts = url.split("/");
const fileName = urlParts.length > 0 ? urlParts[urlParts.length - 1] : url;
const fileExt = fileName?.split(".").pop() as DocumentFileType | undefined;
const previewFile = {
filename: fileName,
filetype: fileExt,
};
const DocumentDetail = (
<div className={`relative ${className}`}>
<PreviewCard className={"cursor-pointer"} file={previewFile} />
<div className="absolute bottom-2 right-2 space-x-2 flex">
{sources.map((node: SourceNode, index: number) => (
<div key={node.id}>
<SourceInfo node={node} index={index} />
</div>
))}
</div>
</div>
);
if (url.endsWith(".pdf")) {
// open internal pdf dialog for pdf files when click document card
return <PdfDialog documentId={url} url={url} trigger={DocumentDetail} />;
}
// open external link when click document card for other file types
return <div onClick={() => window.open(url, "_blank")}>{DocumentDetail}</div>;
}
function NodeInfo({ nodeInfo }: { nodeInfo: SourceNode }) {
const { isCopied, copyToClipboard } = useCopyToClipboard({ timeout: 1000 });
const pageNumber =
// XXX: page_label is used in Python, but page_number is used by Typescript
(nodeInfo.metadata?.page_number as number) ??
(nodeInfo.metadata?.page_label as number) ??
null;
return (
<div className="space-y-4">
<div className="flex justify-between items-center">
<span className="font-semibold">
{pageNumber ? `On page ${pageNumber}:` : "Node content:"}
</span>
{nodeInfo.text && (
<Button
onClick={(e) => {
e.stopPropagation();
copyToClipboard(nodeInfo.text);
}}
size="icon"
variant="ghost"
className="h-12 w-12 shrink-0"
>
{isCopied ? (
<Check className="h-4 w-4" />
) : (
<Copy className="h-4 w-4" />
)}
</Button>
)}
</div>
{nodeInfo.text && (
<pre className="max-h-[200px] overflow-auto whitespace-pre-line">
&ldquo;{nodeInfo.text}&rdquo;
</pre>
)}
</div>
);
}
@@ -1,31 +0,0 @@
import { ChatHandler, SuggestedQuestionsData } from "..";
export function SuggestedQuestions({
questions,
append,
isLastMessage,
}: {
questions: SuggestedQuestionsData;
append: Pick<ChatHandler, "append">["append"];
isLastMessage: boolean;
}) {
const showQuestions = isLastMessage && questions.length > 0;
return (
showQuestions &&
append !== undefined && (
<div className="flex flex-col space-y-2">
{questions.map((question, index) => (
<a
key={index}
onClick={() => {
append({ role: "user", content: question });
}}
className="text-sm italic hover:underline cursor-pointer"
>
{"->"} {question}
</a>
))}
</div>
)
);
}
@@ -1,40 +0,0 @@
import { ToolData } from "../index";
import { Artifact, CodeArtifact } from "../widgets/Artifact";
import { WeatherCard, WeatherData } from "../widgets/WeatherCard";
// TODO: If needed, add displaying more tool outputs here
export default function ChatTools({
data,
artifactVersion,
}: {
data: ToolData;
artifactVersion?: number;
}) {
if (!data) return null;
const { toolCall, toolOutput } = data;
if (toolOutput.isError) {
return (
<div className="border-l-2 border-red-400 pl-2">
There was an error when calling the tool {toolCall.name} with input:{" "}
<br />
{JSON.stringify(toolCall.input)}
</div>
);
}
switch (toolCall.name) {
case "get_weather_information":
const weatherData = toolOutput.output as unknown as WeatherData;
return <WeatherCard data={weatherData} />;
case "artifact":
return (
<Artifact
artifact={toolOutput.output as CodeArtifact}
version={artifactVersion}
/>
);
default:
return null;
}
}
@@ -1,131 +0,0 @@
"use client";
import hljs from "highlight.js";
// instead of atom-one-dark theme, there are a lot of others: https://highlightjs.org/demo
import "highlight.js/styles/atom-one-dark-reasonable.css";
import { Check, Copy, Download } from "lucide-react";
import { FC, memo, useEffect, useRef } from "react";
import { Button } from "../../button";
import { useCopyToClipboard } from "../hooks/use-copy-to-clipboard";
interface Props {
language: string;
value: string;
className?: string;
}
interface languageMap {
[key: string]: string | undefined;
}
export const programmingLanguages: languageMap = {
javascript: ".js",
python: ".py",
java: ".java",
c: ".c",
cpp: ".cpp",
"c++": ".cpp",
"c#": ".cs",
ruby: ".rb",
php: ".php",
swift: ".swift",
"objective-c": ".m",
kotlin: ".kt",
typescript: ".ts",
go: ".go",
perl: ".pl",
rust: ".rs",
scala: ".scala",
haskell: ".hs",
lua: ".lua",
shell: ".sh",
sql: ".sql",
html: ".html",
css: ".css",
// add more file extensions here, make sure the key is same as language prop in CodeBlock.tsx component
};
export const generateRandomString = (length: number, lowercase = false) => {
const chars = "ABCDEFGHJKLMNPQRSTUVWXY3456789"; // excluding similar looking characters like Z, 2, I, 1, O, 0
let result = "";
for (let i = 0; i < length; i++) {
result += chars.charAt(Math.floor(Math.random() * chars.length));
}
return lowercase ? result.toLowerCase() : result;
};
const CodeBlock: FC<Props> = memo(({ language, value, className }) => {
const { isCopied, copyToClipboard } = useCopyToClipboard({ timeout: 2000 });
const codeRef = useRef<HTMLElement>(null);
useEffect(() => {
if (codeRef.current && codeRef.current.dataset.highlighted !== "yes") {
hljs.highlightElement(codeRef.current);
}
}, [language, value]);
const downloadAsFile = () => {
if (typeof window === "undefined") {
return;
}
const fileExtension = programmingLanguages[language] || ".file";
const suggestedFileName = `file-${generateRandomString(
3,
true,
)}${fileExtension}`;
const fileName = window.prompt("Enter file name", suggestedFileName);
if (!fileName) {
// User pressed cancel on prompt.
return;
}
const blob = new Blob([value], { type: "text/plain" });
const url = URL.createObjectURL(blob);
const link = document.createElement("a");
link.download = fileName;
link.href = url;
link.style.display = "none";
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
URL.revokeObjectURL(url);
};
const onCopy = () => {
if (isCopied) return;
copyToClipboard(value);
};
return (
<div
className={`codeblock relative w-full bg-zinc-950 font-sans ${className}`}
>
<div className="flex w-full items-center justify-between bg-zinc-800 px-6 py-2 pr-4 text-zinc-100">
<span className="text-xs lowercase">{language}</span>
<div className="flex items-center space-x-1">
<Button variant="ghost" onClick={downloadAsFile} size="icon">
<Download />
<span className="sr-only">Download</span>
</Button>
<Button variant="ghost" size="icon" onClick={onCopy}>
{isCopied ? (
<Check className="h-4 w-4" />
) : (
<Copy className="h-4 w-4" />
)}
<span className="sr-only">Copy code</span>
</Button>
</div>
</div>
<pre className="border border-zinc-700">
<code ref={codeRef} className={`language-${language} font-mono`}>
{value}
</code>
</pre>
</div>
);
});
CodeBlock.displayName = "CodeBlock";
export { CodeBlock };
@@ -1,184 +0,0 @@
import { Check, Copy } from "lucide-react";
import { Message } from "ai";
import { Fragment } from "react";
import { Button } from "../../button";
import { useCopyToClipboard } from "../hooks/use-copy-to-clipboard";
import {
AgentEventData,
ChatHandler,
DocumentFileData,
EventData,
ImageData,
MessageAnnotation,
MessageAnnotationType,
SuggestedQuestionsData,
ToolData,
getAnnotationData,
getSourceAnnotationData,
} from "../index";
import { ChatAgentEvents } from "./chat-agent-events";
import ChatAvatar from "./chat-avatar";
import { ChatEvents } from "./chat-events";
import { ChatFiles } from "./chat-files";
import { ChatImage } from "./chat-image";
import { ChatSources } from "./chat-sources";
import { SuggestedQuestions } from "./chat-suggestedQuestions";
import ChatTools from "./chat-tools";
import Markdown from "./markdown";
type ContentDisplayConfig = {
order: number;
component: JSX.Element | null;
};
function ChatMessageContent({
message,
isLoading,
append,
isLastMessage,
artifactVersion,
}: {
message: Message;
isLoading: boolean;
append: Pick<ChatHandler, "append">["append"];
isLastMessage: boolean;
artifactVersion: number | undefined;
}) {
const annotations = message.annotations as MessageAnnotation[] | undefined;
if (!annotations?.length) return <Markdown content={message.content} />;
const imageData = getAnnotationData<ImageData>(
annotations,
MessageAnnotationType.IMAGE,
);
const contentFileData = getAnnotationData<DocumentFileData>(
annotations,
MessageAnnotationType.DOCUMENT_FILE,
);
const eventData = getAnnotationData<EventData>(
annotations,
MessageAnnotationType.EVENTS,
);
const agentEventData = getAnnotationData<AgentEventData>(
annotations,
MessageAnnotationType.AGENT_EVENTS,
);
const sourceData = getSourceAnnotationData(annotations);
const toolData = getAnnotationData<ToolData>(
annotations,
MessageAnnotationType.TOOLS,
);
const suggestedQuestionsData = getAnnotationData<SuggestedQuestionsData>(
annotations,
MessageAnnotationType.SUGGESTED_QUESTIONS,
);
const contents: ContentDisplayConfig[] = [
{
order: 1,
component: imageData[0] ? <ChatImage data={imageData[0]} /> : null,
},
{
order: -3,
component:
eventData.length > 0 ? (
<ChatEvents isLoading={isLoading} data={eventData} />
) : null,
},
{
order: -2,
component:
agentEventData.length > 0 ? (
<ChatAgentEvents
data={agentEventData}
isFinished={!!message.content}
/>
) : null,
},
{
order: 2,
component: contentFileData[0] ? (
<ChatFiles data={contentFileData[0]} />
) : null,
},
{
order: -1,
component: toolData[0] ? (
<ChatTools data={toolData[0]} artifactVersion={artifactVersion} />
) : null,
},
{
order: 0,
component: <Markdown content={message.content} sources={sourceData[0]} />,
},
{
order: 3,
component: sourceData[0] ? <ChatSources data={sourceData[0]} /> : null,
},
{
order: 4,
component: suggestedQuestionsData[0] ? (
<SuggestedQuestions
questions={suggestedQuestionsData[0]}
append={append}
isLastMessage={isLastMessage}
/>
) : null,
},
];
return (
<div className="flex-1 gap-4 flex flex-col">
{contents
.sort((a, b) => a.order - b.order)
.map((content, index) => (
<Fragment key={index}>{content.component}</Fragment>
))}
</div>
);
}
export default function ChatMessage({
chatMessage,
isLoading,
append,
isLastMessage,
artifactVersion,
}: {
chatMessage: Message;
isLoading: boolean;
append: Pick<ChatHandler, "append">["append"];
isLastMessage: boolean;
artifactVersion: number | undefined;
}) {
const { isCopied, copyToClipboard } = useCopyToClipboard({ timeout: 2000 });
return (
<div className="flex items-start gap-4 pr-5 pt-5">
<ChatAvatar role={chatMessage.role} />
<div className="group flex flex-1 justify-between gap-2">
<ChatMessageContent
message={chatMessage}
isLoading={isLoading}
append={append}
isLastMessage={isLastMessage}
artifactVersion={artifactVersion}
/>
<Button
onClick={() => copyToClipboard(chatMessage.content)}
size="icon"
variant="ghost"
className="h-8 w-8 opacity-0 group-hover:opacity-100"
>
{isCopied ? (
<Check className="h-4 w-4" />
) : (
<Copy className="h-4 w-4" />
)}
</Button>
</div>
</div>
);
}
@@ -1,170 +0,0 @@
import "katex/dist/katex.min.css";
import { FC, memo } from "react";
import ReactMarkdown, { Options } from "react-markdown";
import rehypeKatex from "rehype-katex";
import remarkGfm from "remark-gfm";
import remarkMath from "remark-math";
import { DOCUMENT_FILE_TYPES, DocumentFileType, SourceData } from "..";
import { useClientConfig } from "../hooks/use-config";
import { DocumentInfo, SourceNumberButton } from "./chat-sources";
import { CodeBlock } from "./codeblock";
const MemoizedReactMarkdown: FC<Options> = memo(
ReactMarkdown,
(prevProps, nextProps) =>
prevProps.children === nextProps.children &&
prevProps.className === nextProps.className,
);
const preprocessLaTeX = (content: string) => {
// Replace block-level LaTeX delimiters \[ \] with $$ $$
const blockProcessedContent = content.replace(
/\\\[([\s\S]*?)\\\]/g,
(_, equation) => `$$${equation}$$`,
);
// Replace inline LaTeX delimiters \( \) with $ $
const inlineProcessedContent = blockProcessedContent.replace(
/\\\[([\s\S]*?)\\\]/g,
(_, equation) => `$${equation}$`,
);
return inlineProcessedContent;
};
const preprocessMedia = (content: string) => {
// Remove `sandbox:` from the beginning of the URL
// to fix OpenAI's models issue appending `sandbox:` to the relative URL
return content.replace(/(sandbox|attachment|snt):/g, "");
};
/**
* Update the citation flag [citation:id]() to the new format [citation:index](url)
*/
const preprocessCitations = (content: string, sources?: SourceData) => {
if (sources) {
const citationRegex = /\[citation:(.+?)\]\(\)/g;
let match;
// Find all the citation references in the content
while ((match = citationRegex.exec(content)) !== null) {
const citationId = match[1];
// Find the source node with the id equal to the citation-id, also get the index of the source node
const sourceNode = sources.nodes.find((node) => node.id === citationId);
// If the source node is found, replace the citation reference with the new format
if (sourceNode !== undefined) {
content = content.replace(
match[0],
`[citation:${sources.nodes.indexOf(sourceNode)}]()`,
);
} else {
// If the source node is not found, remove the citation reference
content = content.replace(match[0], "");
}
}
}
return content;
};
const preprocessContent = (content: string, sources?: SourceData) => {
return preprocessCitations(
preprocessMedia(preprocessLaTeX(content)),
sources,
);
};
export default function Markdown({
content,
sources,
}: {
content: string;
sources?: SourceData;
}) {
const processedContent = preprocessContent(content, sources);
const { backend } = useClientConfig();
return (
<MemoizedReactMarkdown
className="prose dark:prose-invert prose-p:leading-relaxed prose-pre:p-0 break-words custom-markdown"
remarkPlugins={[remarkGfm, remarkMath]}
rehypePlugins={[rehypeKatex as any]}
components={{
p({ children }) {
return <div className="mb-2 last:mb-0">{children}</div>;
},
code({ node, inline, className, children, ...props }) {
if (children.length) {
if (children[0] == "▍") {
return (
<span className="mt-1 animate-pulse cursor-default"></span>
);
}
children[0] = (children[0] as string).replace("`▍`", "▍");
}
const match = /language-(\w+)/.exec(className || "");
if (inline) {
return (
<code className={className} {...props}>
{children}
</code>
);
}
return (
<CodeBlock
key={Math.random()}
language={(match && match[1]) || ""}
value={String(children).replace(/\n$/, "")}
className="mb-2"
{...props}
/>
);
},
a({ href, children }) {
// If href starts with `{backend}/api/files`, then it's a local document and we use DocumenInfo for rendering
if (href?.startsWith(backend + "/api/files")) {
// Check if the file is document file type
const fileExtension = href.split(".").pop()?.toLowerCase();
if (
fileExtension &&
DOCUMENT_FILE_TYPES.includes(fileExtension as DocumentFileType)
) {
return (
<DocumentInfo
document={{
url: new URL(decodeURIComponent(href)).href,
sources: [],
}}
className="mb-2 mt-2"
/>
);
}
}
// If a text link starts with 'citation:', then render it as a citation reference
if (
Array.isArray(children) &&
typeof children[0] === "string" &&
children[0].startsWith("citation:")
) {
const index = Number(children[0].replace("citation:", ""));
if (!isNaN(index)) {
return <SourceNumberButton index={index} />;
} else {
// citation is not looked up yet, don't render anything
return <></>;
}
}
return (
<a href={href} target="_blank">
{children}
</a>
);
},
}}
>
{processedContent}
</MemoizedReactMarkdown>
);
}
+25 -131
View File
@@ -1,136 +1,30 @@
import { Loader2 } from "lucide-react";
import { useEffect, useMemo, useRef, useState } from "react";
"use client";
import { ToolData } from ".";
import { Button } from "../button";
import ChatActions from "./chat-actions";
import ChatMessage from "./chat-message";
import { ChatHandler } from "./chat.interface";
import { useClientConfig } from "./hooks/use-config";
export default function ChatMessages(
props: Pick<
ChatHandler,
"messages" | "isLoading" | "reload" | "stop" | "append"
>,
) {
const { backend } = useClientConfig();
const [starterQuestions, setStarterQuestions] = useState<string[]>();
const scrollableChatContainerRef = useRef<HTMLDivElement>(null);
const messageLength = props.messages.length;
const lastMessage = props.messages[messageLength - 1];
const scrollToBottom = () => {
if (scrollableChatContainerRef.current) {
scrollableChatContainerRef.current.scrollTop =
scrollableChatContainerRef.current.scrollHeight;
}
};
const isLastMessageFromAssistant =
messageLength > 0 && lastMessage?.role !== "user";
const showReload =
props.reload && !props.isLoading && isLastMessageFromAssistant;
const showStop = props.stop && props.isLoading;
// `isPending` indicate
// that stream response is not yet received from the server,
// so we show a loading indicator to give a better UX.
const isPending = props.isLoading && !isLastMessageFromAssistant;
useEffect(() => {
scrollToBottom();
}, [messageLength, lastMessage]);
useEffect(() => {
if (!starterQuestions) {
fetch(`${backend}/api/chat/config`)
.then((response) => response.json())
.then((data) => {
if (data?.starterQuestions) {
setStarterQuestions(data.starterQuestions);
}
})
.catch((error) => console.error("Error fetching config", error));
}
}, [starterQuestions, backend]);
// build a map of message id to artifact version
const artifactVersionMap = useMemo(() => {
const map = new Map<string, number | undefined>();
let versionIndex = 1;
props.messages.forEach((m) => {
m.annotations?.forEach((annotation) => {
if (
typeof annotation === "object" &&
annotation != null &&
"type" in annotation &&
annotation.type === "tools"
) {
const data = annotation.data as ToolData;
if (data?.toolCall?.name === "artifact") {
map.set(m.id, versionIndex);
versionIndex++;
}
}
});
});
return map;
}, [props.messages]);
import { ChatMessage, ChatMessages, useChatUI } from "@llamaindex/chat-ui";
import { ChatMessageAvatar } from "./chat-avatar";
import { ChatMessageContent } from "./chat-message-content";
import { ChatStarter } from "./chat-starter";
export default function CustomChatMessages() {
const { messages } = useChatUI();
return (
<div
className="flex-1 w-full rounded-xl bg-white p-4 shadow-xl relative overflow-y-auto"
ref={scrollableChatContainerRef}
>
<div className="flex flex-col gap-5 divide-y">
{props.messages.map((m, i) => {
const isLoadingMessage = i === messageLength - 1 && props.isLoading;
return (
<ChatMessage
key={m.id}
chatMessage={m}
isLoading={isLoadingMessage}
append={props.append!}
isLastMessage={i === messageLength - 1}
artifactVersion={artifactVersionMap.get(m.id)}
/>
);
})}
{isPending && (
<div className="flex justify-center items-center pt-10">
<Loader2 className="h-4 w-4 animate-spin" />
</div>
)}
</div>
{(showReload || showStop) && (
<div className="flex justify-end py-4">
<ChatActions
reload={props.reload}
stop={props.stop}
showReload={showReload}
showStop={showStop}
/>
</div>
)}
{!messageLength && starterQuestions?.length && props.append && (
<div className="absolute bottom-6 left-0 w-full">
<div className="grid grid-cols-2 gap-2 mx-20">
{starterQuestions.map((question, i) => (
<Button
variant="outline"
key={i}
onClick={() =>
props.append!({ role: "user", content: question })
}
>
{question}
</Button>
))}
</div>
</div>
)}
</div>
<ChatMessages className="shadow-xl rounded-xl">
<ChatMessages.List>
{messages.map((message, index) => (
<ChatMessage
key={index}
message={message}
isLast={index === messages.length - 1}
>
<ChatMessageAvatar />
<ChatMessageContent />
<ChatMessage.Actions />
</ChatMessage>
))}
<ChatMessages.Loading />
</ChatMessages.List>
<ChatMessages.Actions />
<ChatStarter />
</ChatMessages>
);
}
+26
View File
@@ -0,0 +1,26 @@
import { useChatUI } from "@llamaindex/chat-ui";
import { StarterQuestions } from "@llamaindex/chat-ui/widgets";
import { useEffect, useState } from "react";
import { useClientConfig } from "./hooks/use-config";
export function ChatStarter() {
const { append } = useChatUI();
const { backend } = useClientConfig();
const [starterQuestions, setStarterQuestions] = useState<string[]>();
useEffect(() => {
if (!starterQuestions) {
fetch(`${backend}/api/chat/config`)
.then((response) => response.json())
.then((data) => {
if (data?.starterQuestions) {
setStarterQuestions(data.starterQuestions);
}
})
.catch((error) => console.error("Error fetching config", error));
}
}, [starterQuestions, backend]);
if (!starterQuestions?.length) return null;
return <StarterQuestions append={append} questions={starterQuestions} />;
}
-25
View File
@@ -1,25 +0,0 @@
import { Message } from "ai";
export interface ChatHandler {
messages: Message[];
input: string;
isLoading: boolean;
handleSubmit: (
e: React.FormEvent<HTMLFormElement>,
ops?: {
data?: any;
},
) => void;
handleInputChange: (e: React.ChangeEvent<HTMLTextAreaElement>) => void;
reload?: () => void;
stop?: () => void;
onFileUpload?: (file: File) => Promise<void>;
onFileError?: (errMsg: string) => void;
setInput?: (input: string) => void;
append?: (
message: Message | Omit<Message, "id">,
ops?: {
data: any;
},
) => Promise<string | null | undefined>;
}
@@ -1,3 +1,4 @@
import { useChatUI } from "@llamaindex/chat-ui";
import { Loader2 } from "lucide-react";
import { useCallback, useEffect, useState } from "react";
import {
@@ -35,19 +36,18 @@ type LlamaCloudConfig = {
};
export interface LlamaCloudSelectorProps {
setRequestData?: React.Dispatch<any>;
onSelect?: (pipeline: PipelineConfig | undefined) => void;
defaultPipeline?: PipelineConfig;
shouldCheckValid?: boolean;
}
export function LlamaCloudSelector({
setRequestData,
onSelect,
defaultPipeline,
shouldCheckValid = false,
}: LlamaCloudSelectorProps) {
const { backend } = useClientConfig();
const { setRequestData } = useChatUI();
const [config, setConfig] = useState<LlamaCloudConfig>();
const updateRequestParams = useCallback(
@@ -97,6 +97,10 @@ export function LlamaCloudSelector({
setPipeline(JSON.parse(value) as PipelineConfig);
};
if (process.env.NEXT_PUBLIC_USE_LLAMACLOUD !== "true") {
return null;
}
if (!config) {
return (
<div className="flex justify-center items-center p-3">
@@ -0,0 +1,29 @@
"use client";
import { SourceData } from "@llamaindex/chat-ui";
import { Markdown as MarkdownUI } from "@llamaindex/chat-ui/widgets";
import { useClientConfig } from "../hooks/use-config";
const preprocessMedia = (content: string) => {
// Remove `sandbox:` from the beginning of the URL before rendering markdown
// OpenAI models sometimes prepend `sandbox:` to relative URLs - this fixes it
return content.replace(/(sandbox|attachment|snt):/g, "");
};
export function Markdown({
content,
sources,
}: {
content: string;
sources?: SourceData;
}) {
const { backend } = useClientConfig();
const processedContent = preprocessMedia(content);
return (
<MarkdownUI
content={processedContent}
backend={backend}
sources={sources}
/>
);
}
-136
View File
@@ -1,136 +0,0 @@
"use client";
import { JSONValue } from "llamaindex";
import { useState } from "react";
import {
DocumentFile,
DocumentFileType,
MessageAnnotation,
MessageAnnotationType,
UploadedFileMeta,
} from "..";
import { useClientConfig } from "./use-config";
const docMineTypeMap: Record<string, DocumentFileType> = {
"text/csv": "csv",
"application/pdf": "pdf",
"text/plain": "txt",
"application/vnd.openxmlformats-officedocument.wordprocessingml.document":
"docx",
};
export function useFile() {
const { backend } = useClientConfig();
const [imageUrl, setImageUrl] = useState<string | null>(null);
const [files, setFiles] = useState<DocumentFile[]>([]);
const docEqual = (a: DocumentFile, b: DocumentFile) => {
if (a.metadata?.id === b.metadata?.id) return true;
if (a.filename === b.filename && a.filesize === b.filesize) return true;
return false;
};
const addDoc = (file: DocumentFile) => {
const existedFile = files.find((f) => docEqual(f, file));
if (!existedFile) {
setFiles((prev) => [...prev, file]);
return true;
}
return false;
};
const removeDoc = (file: DocumentFile) => {
setFiles((prev) =>
prev.filter((f) => f.metadata?.id !== file.metadata?.id),
);
};
const reset = () => {
imageUrl && setImageUrl(null);
files.length && setFiles([]);
};
const uploadContent = async (
file: File,
requestParams: any = {},
): Promise<UploadedFileMeta> => {
const base64 = await readContent({ file, asUrl: true });
const uploadAPI = `${backend}/api/chat/upload`;
const response = await fetch(uploadAPI, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
...requestParams,
base64,
filename: file.name,
}),
});
if (!response.ok) throw new Error("Failed to upload document.");
return (await response.json()) as UploadedFileMeta;
};
const getAnnotations = () => {
const annotations: MessageAnnotation[] = [];
if (imageUrl) {
annotations.push({
type: MessageAnnotationType.IMAGE,
data: { url: imageUrl },
});
}
if (files.length > 0) {
annotations.push({
type: MessageAnnotationType.DOCUMENT_FILE,
data: { files },
});
}
return annotations as JSONValue[];
};
const readContent = async (input: {
file: File;
asUrl?: boolean;
}): Promise<string> => {
const { file, asUrl } = input;
const content = await new Promise<string>((resolve, reject) => {
const reader = new FileReader();
if (asUrl) {
reader.readAsDataURL(file);
} else {
reader.readAsText(file);
}
reader.onload = () => resolve(reader.result as string);
reader.onerror = (error) => reject(error);
});
return content;
};
const uploadFile = async (file: File, requestParams: any = {}) => {
if (file.type.startsWith("image/")) {
const base64 = await readContent({ file, asUrl: true });
return setImageUrl(base64);
}
const filetype = docMineTypeMap[file.type];
if (!filetype) throw new Error("Unsupported document type.");
const uploadedFileMeta = await uploadContent(file, requestParams);
const newDoc: DocumentFile = {
filename: file.name,
filesize: file.size,
filetype,
metadata: uploadedFileMeta,
};
return addDoc(newDoc);
};
return {
imageUrl,
setImageUrl,
files,
removeDoc,
reset,
getAnnotations,
uploadFile,
};
}
-136
View File
@@ -1,136 +0,0 @@
import { JSONValue } from "ai";
import ChatInput from "./chat-input";
import ChatMessages from "./chat-messages";
export { type ChatHandler } from "./chat.interface";
export { ChatInput, ChatMessages };
export enum MessageAnnotationType {
IMAGE = "image",
DOCUMENT_FILE = "document_file",
SOURCES = "sources",
EVENTS = "events",
TOOLS = "tools",
SUGGESTED_QUESTIONS = "suggested_questions",
AGENT_EVENTS = "agent",
}
export type ImageData = {
url: string;
};
export type DocumentFileType = "csv" | "pdf" | "txt" | "docx";
export const DOCUMENT_FILE_TYPES: DocumentFileType[] = [
"csv",
"pdf",
"txt",
"docx",
];
export type UploadedFileMeta = {
id: string;
name: string; // The uploaded file name in the backend (including uuid and sanitized)
url?: string;
refs?: string[];
};
export type DocumentFile = {
filename: string; // The original file name
filesize: number;
filetype: DocumentFileType;
metadata?: UploadedFileMeta; // undefined when the file is not uploaded yet
};
export type DocumentFileData = {
files: DocumentFile[];
};
export type SourceNode = {
id: string;
metadata: Record<string, unknown>;
score?: number;
text: string;
url: string;
};
export type SourceData = {
nodes: SourceNode[];
};
export type EventData = {
title: string;
};
export type AgentEventData = {
agent: string;
text: string;
};
export type ToolData = {
toolCall: {
id: string;
name: string;
input: {
[key: string]: JSONValue;
};
};
toolOutput: {
output: JSONValue;
isError: boolean;
};
};
export type SuggestedQuestionsData = string[];
export type AnnotationData =
| ImageData
| DocumentFileData
| SourceData
| EventData
| AgentEventData
| ToolData
| SuggestedQuestionsData;
export type MessageAnnotation = {
type: MessageAnnotationType;
data: AnnotationData;
};
const NODE_SCORE_THRESHOLD = 0.25;
export function getAnnotationData<T extends AnnotationData>(
annotations: MessageAnnotation[],
type: MessageAnnotationType,
): T[] {
return annotations.filter((a) => a.type === type).map((a) => a.data as T);
}
export function getSourceAnnotationData(
annotations: MessageAnnotation[],
): SourceData[] {
const data = getAnnotationData<SourceData>(
annotations,
MessageAnnotationType.SOURCES,
);
if (data.length > 0) {
const sourceData = data[0] as SourceData;
if (sourceData.nodes) {
sourceData.nodes = preprocessSourceNodes(sourceData.nodes);
}
}
return data;
}
function preprocessSourceNodes(nodes: SourceNode[]): SourceNode[] {
// Filter source nodes has lower score
nodes = nodes
.filter((node) => (node.score ?? 1) > NODE_SCORE_THRESHOLD)
.filter((node) => node.url && node.url.trim() !== "")
.sort((a, b) => (b.score ?? 1) - (a.score ?? 1))
.map((node) => {
// remove trailing slash for node url if exists
node.url = node.url.replace(/\/$/, "");
return node;
});
return nodes;
}
@@ -10,7 +10,7 @@ import {
} from "../../collapsible";
import { cn } from "../../lib/utils";
import { Tabs, TabsContent, TabsList, TabsTrigger } from "../../tabs";
import Markdown from "../chat-message/markdown";
import { Markdown } from "../custom/markdown";
import { useClientConfig } from "../hooks/use-config";
import { useCopyToClipboard } from "../hooks/use-copy-to-clipboard";
@@ -29,12 +29,17 @@ export type CodeArtifact = {
files?: string[];
};
type OutputUrl = {
url: string;
filename: string;
};
type ArtifactResult = {
template: string;
stdout: string[];
stderr: string[];
runtimeError?: { name: string; value: string; tracebackRaw: string[] };
outputUrls: Array<{ url: string; filename: string }>;
outputUrls: OutputUrl[];
url: string;
};
@@ -272,11 +277,7 @@ function CodeSandboxPreview({ url }: { url: string }) {
);
}
function InterpreterOutput({
outputUrls,
}: {
outputUrls: Array<{ url: string; filename: string }>;
}) {
function InterpreterOutput({ outputUrls }: { outputUrls: OutputUrl[] }) {
return (
<ul className="flex flex-col gap-2 mt-4">
{outputUrls.map((url) => (
+103
View File
@@ -0,0 +1,103 @@
"use client";
import {
Message,
MessageAnnotation,
getAnnotationData,
useChatUI,
} from "@llamaindex/chat-ui";
import { JSONValue } from "ai";
import { useMemo } from "react";
import { Artifact, CodeArtifact } from "./artifact";
import { WeatherCard, WeatherData } from "./weather-card";
export function ToolAnnotations({ message }: { message: Message }) {
// TODO: This is a bit of a hack to get the artifact version. better to generate the version in the tool call and
// store it in CodeArtifact
const { messages } = useChatUI();
const artifactVersion = useMemo(
() => getArtifactVersion(messages, message),
[messages, message],
);
// Get the tool data from the message annotations
const annotations = message.annotations as MessageAnnotation[] | undefined;
const toolData = annotations
? (getAnnotationData(annotations, "tools") as unknown as ToolData[])
: null;
return toolData?.[0] ? (
<ChatTools data={toolData[0]} artifactVersion={artifactVersion} />
) : null;
}
// TODO: Used to render outputs of tools. If needed, add more renderers here.
export function ChatTools({
data,
artifactVersion,
}: {
data: ToolData;
artifactVersion: number | undefined;
}) {
if (!data) return null;
const { toolCall, toolOutput } = data;
if (toolOutput.isError) {
return (
<div className="border-l-2 border-red-400 pl-2">
There was an error when calling the tool {toolCall.name} with input:{" "}
<br />
{JSON.stringify(toolCall.input)}
</div>
);
}
switch (toolCall.name) {
case "get_weather_information":
const weatherData = toolOutput.output as unknown as WeatherData;
return <WeatherCard data={weatherData} />;
case "artifact":
return (
<Artifact
artifact={toolOutput.output as CodeArtifact}
version={artifactVersion}
/>
);
default:
return null;
}
}
type ToolData = {
toolCall: {
id: string;
name: string;
input: {
[key: string]: JSONValue;
};
};
toolOutput: {
output: JSONValue;
isError: boolean;
};
};
function getArtifactVersion(
messages: Message[],
message: Message,
): number | undefined {
const messageId = "id" in message ? message.id : undefined;
if (!messageId) return undefined;
let versionIndex = 1;
for (const m of messages) {
const toolData = m.annotations
? (getAnnotationData(m.annotations, "tools") as unknown as ToolData[])
: null;
if (toolData?.some((t) => t.toolCall.name === "artifact")) {
if ("id" in m && m.id === messageId) {
return versionIndex;
}
versionIndex++;
}
}
return undefined;
}
@@ -1,67 +0,0 @@
import dynamic from "next/dynamic";
import { Button } from "../../button";
import {
Drawer,
DrawerClose,
DrawerContent,
DrawerDescription,
DrawerHeader,
DrawerTitle,
DrawerTrigger,
} from "../../drawer";
export interface PdfDialogProps {
documentId: string;
url: string;
trigger: React.ReactNode;
}
// Dynamic imports for client-side rendering only
const PDFViewer = dynamic(
() => import("@llamaindex/pdf-viewer").then((module) => module.PDFViewer),
{ ssr: false },
);
const PdfFocusProvider = dynamic(
() =>
import("@llamaindex/pdf-viewer").then((module) => module.PdfFocusProvider),
{ ssr: false },
);
export default function PdfDialog(props: PdfDialogProps) {
return (
<Drawer direction="left">
<DrawerTrigger asChild>{props.trigger}</DrawerTrigger>
<DrawerContent className="w-3/5 mt-24 h-full max-h-[96%] ">
<DrawerHeader className="flex justify-between">
<div className="space-y-2">
<DrawerTitle>PDF Content</DrawerTitle>
<DrawerDescription>
File URL:{" "}
<a
className="hover:text-blue-900"
href={props.url}
target="_blank"
>
{props.url}
</a>
</DrawerDescription>
</div>
<DrawerClose asChild>
<Button variant="outline">Close</Button>
</DrawerClose>
</DrawerHeader>
<div className="m-4">
<PdfFocusProvider>
<PDFViewer
file={{
id: props.documentId,
url: props.url,
}}
/>
</PdfFocusProvider>
</div>
</DrawerContent>
</Drawer>
);
}
-129
View File
@@ -1,129 +0,0 @@
import { XCircleIcon } from "lucide-react";
import Image from "next/image";
import DocxIcon from "../ui/icons/docx.svg";
import PdfIcon from "../ui/icons/pdf.svg";
import SheetIcon from "../ui/icons/sheet.svg";
import TxtIcon from "../ui/icons/txt.svg";
import { Button } from "./button";
import { DocumentFile, DocumentFileType } from "./chat";
import {
Drawer,
DrawerClose,
DrawerContent,
DrawerDescription,
DrawerHeader,
DrawerTitle,
DrawerTrigger,
} from "./drawer";
import { cn } from "./lib/utils";
export interface DocumentPreviewProps {
file: DocumentFile;
onRemove?: () => void;
}
export function DocumentPreview(props: DocumentPreviewProps) {
const { filename, filesize, filetype, metadata } = props.file;
if (metadata?.refs?.length) {
return (
<div title={`Document IDs: ${metadata.refs.join(", ")}`}>
<PreviewCard {...props} />
</div>
);
}
return (
<Drawer direction="left">
<DrawerTrigger asChild>
<div>
<PreviewCard className="cursor-pointer" {...props} />
</div>
</DrawerTrigger>
<DrawerContent className="w-3/5 mt-24 h-full max-h-[96%] ">
<DrawerHeader className="flex justify-between">
<div className="space-y-2">
<DrawerTitle>{filetype.toUpperCase()} Raw Content</DrawerTitle>
<DrawerDescription>
{filename} ({inKB(filesize)} KB)
</DrawerDescription>
</div>
<DrawerClose asChild>
<Button variant="outline">Close</Button>
</DrawerClose>
</DrawerHeader>
<div className="m-4 max-h-[80%] overflow-auto">
{metadata?.refs?.length && (
<pre className="bg-secondary rounded-md p-4 block text-sm">
{metadata.refs.join(", ")}
</pre>
)}
</div>
</DrawerContent>
</Drawer>
);
}
export const FileIcon: Record<DocumentFileType, string> = {
csv: SheetIcon,
pdf: PdfIcon,
docx: DocxIcon,
txt: TxtIcon,
};
export function PreviewCard(props: {
file: {
filename: string;
filesize?: number;
filetype?: DocumentFileType;
};
onRemove?: () => void;
className?: string;
}) {
const { onRemove, file, className } = props;
return (
<div
className={cn(
"p-2 w-60 max-w-60 bg-secondary rounded-lg text-sm relative",
className,
)}
>
<div className="flex flex-row items-center gap-2">
<div className="relative h-8 w-8 shrink-0 overflow-hidden rounded-md flex items-center justify-center">
<Image
className="h-full w-auto object-contain"
priority
src={FileIcon[file.filetype || "txt"]}
alt="Icon"
/>
</div>
<div className="overflow-hidden">
<div className="truncate font-semibold">
{file.filename} {file.filesize ? `(${inKB(file.filesize)} KB)` : ""}
</div>
{file.filetype && (
<div className="truncate text-token-text-tertiary flex items-center gap-2">
<span>{file.filetype.toUpperCase()} File</span>
</div>
)}
</div>
</div>
{onRemove && (
<div
className={cn(
"absolute -top-2 -right-2 w-6 h-6 z-10 bg-gray-500 text-white rounded-full",
)}
>
<XCircleIcon
className="w-6 h-6 bg-gray-500 text-white rounded-full"
onClick={onRemove}
/>
</div>
)}
</div>
);
}
function inKB(size: number) {
return Math.round((size / 1024) * 10) / 10;
}
-105
View File
@@ -1,105 +0,0 @@
"use client";
import { Loader2, Paperclip } from "lucide-react";
import { ChangeEvent, useState } from "react";
import { buttonVariants } from "./button";
import { cn } from "./lib/utils";
export interface FileUploaderProps {
config?: {
inputId?: string;
fileSizeLimit?: number;
allowedExtensions?: string[];
checkExtension?: (extension: string) => string | null;
disabled: boolean;
};
onFileUpload: (file: File) => Promise<void>;
onFileError?: (errMsg: string) => void;
}
const DEFAULT_INPUT_ID = "fileInput";
const DEFAULT_FILE_SIZE_LIMIT = 1024 * 1024 * 50; // 50 MB
export default function FileUploader({
config,
onFileUpload,
onFileError,
}: FileUploaderProps) {
const [uploading, setUploading] = useState(false);
const inputId = config?.inputId || DEFAULT_INPUT_ID;
const fileSizeLimit = config?.fileSizeLimit || DEFAULT_FILE_SIZE_LIMIT;
const allowedExtensions = config?.allowedExtensions;
const defaultCheckExtension = (extension: string) => {
if (allowedExtensions && !allowedExtensions.includes(extension)) {
return `Invalid file type. Please select a file with one of these formats: ${allowedExtensions!.join(
",",
)}`;
}
return null;
};
const checkExtension = config?.checkExtension ?? defaultCheckExtension;
const isFileSizeExceeded = (file: File) => {
return file.size > fileSizeLimit;
};
const resetInput = () => {
const fileInput = document.getElementById(inputId) as HTMLInputElement;
fileInput.value = "";
};
const onFileChange = async (e: ChangeEvent<HTMLInputElement>) => {
const file = e.target.files?.[0];
if (!file) return;
setUploading(true);
await handleUpload(file);
resetInput();
setUploading(false);
};
const handleUpload = async (file: File) => {
const onFileUploadError = onFileError || window.alert;
const fileExtension = file.name.split(".").pop() || "";
const extensionFileError = checkExtension(fileExtension);
if (extensionFileError) {
return onFileUploadError(extensionFileError);
}
if (isFileSizeExceeded(file)) {
return onFileUploadError(
`File size exceeded. Limit is ${fileSizeLimit / 1024 / 1024} MB`,
);
}
await onFileUpload(file);
};
return (
<div className="self-stretch">
<input
type="file"
id={inputId}
style={{ display: "none" }}
onChange={onFileChange}
accept={allowedExtensions?.join(",")}
disabled={config?.disabled || uploading}
/>
<label
htmlFor={inputId}
className={cn(
buttonVariants({ variant: "secondary", size: "icon" }),
"cursor-pointer",
uploading && "opacity-50",
)}
>
{uploading ? (
<Loader2 className="h-4 w-4 animate-spin" />
) : (
<Paperclip className="-rotate-45 w-4 h-4" />
)}
</label>
</div>
);
}
+27
View File
@@ -0,0 +1,27 @@
"use client";
import * as ProgressPrimitive from "@radix-ui/react-progress";
import * as React from "react";
import { cn } from "./lib/utils";
const Progress = React.forwardRef<
React.ElementRef<typeof ProgressPrimitive.Root>,
React.ComponentPropsWithoutRef<typeof ProgressPrimitive.Root>
>(({ className, value, ...props }, ref) => (
<ProgressPrimitive.Root
ref={ref}
className={cn(
"relative h-4 w-full overflow-hidden rounded-full bg-secondary",
className,
)}
{...props}
>
<ProgressPrimitive.Indicator
className="h-full w-full flex-1 bg-primary transition-all"
style={{ transform: `translateX(-${100 - (value || 0)}%)` }}
/>
</ProgressPrimitive.Root>
));
Progress.displayName = ProgressPrimitive.Root.displayName;
export { Progress };
@@ -1,32 +0,0 @@
import { XCircleIcon } from "lucide-react";
import Image from "next/image";
import { cn } from "./lib/utils";
export default function UploadImagePreview({
url,
onRemove,
}: {
url: string;
onRemove: () => void;
}) {
return (
<div className="relative w-20 h-20 group">
<Image
src={url}
alt="Uploaded image"
fill
className="object-cover w-full h-full rounded-xl hover:brightness-75"
/>
<div
className={cn(
"absolute -top-2 -right-2 w-6 h-6 z-10 bg-gray-500 text-white rounded-full hidden group-hover:block",
)}
>
<XCircleIcon
className="w-6 h-6 bg-gray-500 text-white rounded-full"
onClick={onRemove}
/>
</div>
</div>
);
}
-1
View File
@@ -1,7 +1,6 @@
import type { Metadata } from "next";
import { Inter } from "next/font/google";
import "./globals.css";
import "./markdown.css";
const inter = Inter({ subsets: ["latin"] });
-79
View File
@@ -1,79 +0,0 @@
/* Custom CSS for chat message markdown */
.custom-markdown ul {
list-style-type: disc;
margin-left: 20px;
margin-top: 20px;
margin-bottom: 20px;
}
.custom-markdown ol {
list-style-type: decimal;
margin-left: 20px;
margin-top: 20px;
margin-bottom: 20px;
}
.custom-markdown li {
margin-bottom: 5px;
}
.custom-markdown ol ol {
list-style: lower-alpha;
}
.custom-markdown ul ul,
.custom-markdown ol ol {
margin-left: 20px;
}
.custom-markdown img {
border-radius: 8px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
margin: 10px 0;
}
.custom-markdown a {
text-decoration: underline;
color: #007bff;
}
.custom-markdown h1,
h2,
h3,
h4,
h5,
h6 {
font-weight: bold;
margin-bottom: 20px;
margin-top: 20px;
}
.custom-markdown h6 {
font-size: 16px;
}
.custom-markdown h5 {
font-size: 18px;
}
.custom-markdown h4 {
font-size: 20px;
}
.custom-markdown h3 {
font-size: 22px;
}
.custom-markdown h2 {
font-size: 24px;
}
.custom-markdown h1 {
font-size: 26px;
}
.custom-markdown hr {
border: 0;
border-top: 1px solid #e1e4e8;
margin: 20px 0;
}
+1
View File
@@ -1 +1,2 @@
// TODO: You can add observability here. For templates re-start `create-llama` with `--pro` flag to generate a new project with observability.
export const initObservability = () => {};
+16 -15
View File
@@ -1,17 +1,18 @@
{
"experimental": {
"outputFileTracingIncludes": {
"/*": [
"./cache/**/*"
]
},
"outputFileTracingExcludes": {
"/api/files/*": [
".next/**/*",
"node_modules/**/*",
"public/**/*",
"app/**/*"
]
}
}
"outputFileTracingIncludes": {
"/*": [
"./cache/**/*"
]
},
"outputFileTracingExcludes": {
"/api/files/*": [
".next/**/*",
"node_modules/**/*",
"public/**/*",
"app/**/*"
]
},
"transpilePackages": [
"highlight.js"
]
}
+14 -18
View File
@@ -1,5 +1,5 @@
{
"name": "rag",
"name": "latest-1411",
"version": "0.1.0",
"scripts": {
"format": "prettier --ignore-unknown --cache --check .",
@@ -13,13 +13,13 @@
"dependencies": {
"@apidevtools/swagger-parser": "^10.1.0",
"@e2b/code-interpreter": "0.0.9-beta.3",
"@llamaindex/core": "^0.2.6",
"@llamaindex/pdf-viewer": "^1.1.3",
"@radix-ui/react-collapsible": "^1.0.3",
"@radix-ui/react-hover-card": "^1.0.7",
"@radix-ui/react-progress": "^1.1.0",
"@radix-ui/react-select": "^2.1.1",
"@radix-ui/react-slot": "^1.0.2",
"@radix-ui/react-tabs": "^1.1.0",
"@llamaindex/chat-ui": "0.0.7",
"ai": "3.3.42",
"ajv": "^8.12.0",
"class-variance-authority": "^0.7.0",
@@ -28,35 +28,31 @@
"duck-duck-scrape": "^2.2.5",
"formdata-node": "^6.0.3",
"got": "^14.4.1",
"llamaindex": "0.6.22",
"llamaindex": "0.8.2",
"lucide-react": "^0.294.0",
"next": "^14.2.4",
"react": "^18.2.0",
"react-dom": "^18.2.0",
"react-markdown": "^8.0.7",
"rehype-katex": "^7.0.0",
"remark": "^14.0.3",
"remark-code-import": "^1.2.0",
"remark-gfm": "^3.0.1",
"remark-math": "^5.1.1",
"next": "^15.0.3",
"react": "19.0.0-rc-5c56b873-20241107",
"react-dom": "19.0.0-rc-5c56b873-20241107",
"papaparse": "^5.4.1",
"supports-color": "^8.1.1",
"tailwind-merge": "^2.1.0",
"tiktoken": "^1.0.15",
"uuid": "^9.0.1",
"vaul": "^0.9.1",
"marked": "^14.1.2",
"highlight.js": "^11.10.0"
"marked": "^14.1.2"
},
"devDependencies": {
"@types/node": "^20.10.3",
"@types/react": "^18.2.42",
"@types/react-dom": "^18.2.17",
"@types/uuid": "^9.0.8",
"@llamaindex/workflow": "^0.0.3",
"@types/papaparse": "^5.3.15",
"autoprefixer": "^10.4.16",
"cross-env": "^7.0.3",
"eslint": "^8.55.0",
"eslint-config-next": "^14.2.4",
"eslint-config-prettier": "^8.10.0",
"eslint": "^9.14.0",
"eslint-config-next": "^15.0.3",
"eslint-config-prettier": "^9.1.0",
"postcss": "^8.4.32",
"prettier": "^3.2.5",
"prettier-plugin-organize-imports": "^3.2.4",
+11341
View File
File diff suppressed because it is too large Load Diff
+5 -1
View File
@@ -3,7 +3,11 @@ import { fontFamily } from "tailwindcss/defaultTheme";
const config: Config = {
darkMode: ["class"],
content: ["app/**/*.{ts,tsx}", "components/**/*.{ts,tsx}"],
content: [
"app/**/*.{ts,tsx}",
"components/**/*.{ts,tsx}",
"node_modules/@llamaindex/chat-ui/**/*.{ts,tsx}",
],
theme: {
container: {
center: true,
+2 -1
View File
@@ -19,7 +19,8 @@
],
"paths": {
"@/*": ["./*"]
}
},
"target": "ES2017"
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
"exclude": ["node_modules"]