feat: limit display

feat: construct resource url from backend

.changeset/bright-turkeys-melt.md

@@ -0,0 +1,5 @@
+---
+"create-llama": patch
+---
+
+Add CSV upload

helpers/env-variables.ts

@@ -276,6 +276,12 @@ const getEngineEnvs = (): EnvVar[] => {
         "The number of similar embeddings to return when retrieving documents.",
       value: "3",
     },
+    {
+      name: "STREAM_TIMEOUT",
+      description:
+        "The time in milliseconds to wait for the stream to return a response.",
+      value: "60000",
+    },
   ];
 };
 

helpers/tools.ts

@@ -159,7 +159,6 @@ export const writeToolsConfig = async (
   tools: Tool[] = [],
   type: ConfigFileType = ConfigFileType.YAML,
 ) => {
-  if (tools.length === 0) return; // no tools selected, no config need
   const configContent: {
     [key in ToolType]: Record<string, any>;
   } = {

templates/components/engines/typescript/agent/tools/interpreter.ts

@@ -15,7 +15,7 @@ export type InterpreterToolParams = {
   fileServerURLPrefix?: string;
 };
 
-export type InterpreterToolOuput = {
+export type InterpreterToolOutput = {
   isError: boolean;
   logs: Logs;
   extraResult: InterpreterExtraResult[];
@@ -88,7 +88,7 @@ export class InterpreterTool implements BaseTool<InterpreterParameter> {
     return this.codeInterpreter;
   }
 
-  public async codeInterpret(code: string): Promise<InterpreterToolOuput> {
+  public async codeInterpret(code: string): Promise<InterpreterToolOutput> {
     console.log(
       `\n${"=".repeat(50)}\n> Running following AI-generated code:\n${code}\n${"=".repeat(50)}`,
     );
@@ -96,7 +96,7 @@ export class InterpreterTool implements BaseTool<InterpreterParameter> {
     const exec = await interpreter.notebook.execCell(code);
     if (exec.error) console.error("[Code Interpreter error]", exec.error);
     const extraResult = await this.getExtraResult(exec.results[0]);
-    const result: InterpreterToolOuput = {
+    const result: InterpreterToolOutput = {
       isError: !!exec.error,
       logs: exec.logs,
       extraResult,
@@ -104,7 +104,7 @@ export class InterpreterTool implements BaseTool<InterpreterParameter> {
     return result;
   }
 
-  async call(input: InterpreterParameter): Promise<InterpreterToolOuput> {
+  async call(input: InterpreterParameter): Promise<InterpreterToolOutput> {
     const result = await this.codeInterpret(input.code);
     await this.codeInterpreter?.close();
     return result;

templates/components/ui/html/chat/chat-input.tsx

@@ -1,5 +1,7 @@
 "use client";
 
+import { Message } from "./chat-messages";
+
 export interface ChatInputProps {
   /** The current value of the input */
   input?: string;
@@ -13,6 +15,7 @@ export interface ChatInputProps {
   handleSubmit: (e: React.FormEvent<HTMLFormElement>) => void;
   isLoading: boolean;
   multiModal?: boolean;
+  messages: Message[];
 }
 
 export default function ChatInput(props: ChatInputProps) {

templates/types/streaming/express/src/controllers/chat.controller.ts

@@ -1,32 +1,23 @@
 import { Message, StreamData, streamToResponse } from "ai";
 import { Request, Response } from "express";
-import { ChatMessage, MessageContent, Settings } from "llamaindex";
+import { ChatMessage, Settings } from "llamaindex";
 import { createChatEngine } from "./engine/chat";
-import { LlamaIndexStream } from "./llamaindex-stream";
+import {
-import { createCallbackManager } from "./stream-helper";
+  DataParserOptions,
-
+  LlamaIndexStream,
-const convertMessageContent = (
+  convertMessageContent,
-  textMessage: string,
+} from "./llamaindex-stream";
-  imageUrl: string | undefined,
+import { createCallbackManager, createStreamTimeout } from "./stream-helper";
-): MessageContent => {
-  if (!imageUrl) return textMessage;
-  return [
-    {
-      type: "text",
-      text: textMessage,
-    },
-    {
-      type: "image_url",
-      image_url: {
-        url: imageUrl,
-      },
-    },
-  ];
-};
 
 export const chat = async (req: Request, res: Response) => {
+  // Init Vercel AI StreamData and timeout
+  const vercelStreamData = new StreamData();
+  const streamTimeout = createStreamTimeout(vercelStreamData);
   try {
-    const { messages, data }: { messages: Message[]; data: any } = req.body;
+    const {
+      messages,
+      data,
+    }: { messages: Message[]; data: DataParserOptions | undefined } = req.body;
     const userMessage = messages.pop();
     if (!messages || !userMessage || userMessage.role !== "user") {
       return res.status(400).json({
@@ -38,13 +29,7 @@ export const chat = async (req: Request, res: Response) => {
     const chatEngine = await createChatEngine();
 
     // Convert message content from Vercel/AI format to LlamaIndex/OpenAI format
-    const userMessageContent = convertMessageContent(
+    const userMessageContent = convertMessageContent(userMessage.content, data);
-      userMessage.content,
-      data?.imageUrl,
-    );
-
-    // Init Vercel AI StreamData
-    const vercelStreamData = new StreamData();
 
     // Setup callbacks
     const callbackManager = createCallbackManager(vercelStreamData);
@@ -61,7 +46,8 @@ export const chat = async (req: Request, res: Response) => {
     // Return a stream, which can be consumed by the Vercel/AI client
     const stream = LlamaIndexStream(response, vercelStreamData, {
       parserOptions: {
-        image_url: data?.imageUrl,
+        imageUrl: data?.imageUrl,
+        uploadedCsv: data?.uploadedCsv,
       },
     });
 
@@ -71,5 +57,7 @@ export const chat = async (req: Request, res: Response) => {
     return res.status(500).json({
       detail: (error as Error).message,
     });
+  } finally {
+    clearTimeout(streamTimeout);
   }
 };

templates/types/streaming/express/src/controllers/llamaindex-stream.ts

@@ -6,6 +6,7 @@ import {
   type AIStreamCallbacksAndOptions,
 } from "ai";
 import {
+  MessageContent,
   Metadata,
   NodeWithScore,
   Response,
@@ -13,20 +14,61 @@ import {
 } from "llamaindex";
 
 import { AgentStreamChatResponse } from "llamaindex/agent/base";
-import { appendImageData, appendSourceData } from "./stream-helper";
+import {
+  UploadedCsv,
+  appendCsvData,
+  appendImageData,
+  appendSourceData,
+} from "./stream-helper";
 
 type LlamaIndexResponse =
   | AgentStreamChatResponse<ToolCallLLMMessageOptions>
   | Response;
 
-type ParserOptions = {
+export type DataParserOptions = {
-  image_url?: string;
+  imageUrl?: string;
+  uploadedCsv?: UploadedCsv;
+};
+
+export const convertMessageContent = (
+  textMessage: string,
+  additionalData?: DataParserOptions,
+): MessageContent => {
+  if (!additionalData) return textMessage;
+  const content: MessageContent = [
+    {
+      type: "text",
+      text: textMessage,
+    },
+  ];
+  if (additionalData?.imageUrl) {
+    content.push({
+      type: "image_url",
+      image_url: {
+        url: additionalData?.imageUrl,
+      },
+    });
+  }
+
+  if (additionalData?.uploadedCsv) {
+    const csvContent =
+      "Use the following CSV data:\n" +
+      "```csv\n" +
+      additionalData.uploadedCsv.content +
+      "\n```";
+    content.push({
+      type: "text",
+      text: `${csvContent}\n\n${textMessage}`,
+    });
+  }
+
+  return content;
 };
 
 function createParser(
   res: AsyncIterable<LlamaIndexResponse>,
   data: StreamData,
-  opts?: ParserOptions,
+  opts?: DataParserOptions,
 ) {
   const it = res[Symbol.asyncIterator]();
   const trimStartOfStream = trimStartOfStreamHelper();
@@ -34,7 +76,8 @@ function createParser(
   let sourceNodes: NodeWithScore<Metadata>[] | undefined;
   return new ReadableStream<string>({
     start() {
-      appendImageData(data, opts?.image_url);
+      appendImageData(data, opts?.imageUrl);
+      appendCsvData(data, opts?.uploadedCsv);
     },
     async pull(controller): Promise<void> {
       const { value, done } = await it.next();
@@ -72,7 +115,7 @@ export function LlamaIndexStream(
   data: StreamData,
   opts?: {
     callbacks?: AIStreamCallbacksAndOptions;
-    parserOptions?: ParserOptions;
+    parserOptions?: DataParserOptions;
   },
 ): ReadableStream<Uint8Array> {
   return createParser(response, data, opts?.parserOptions)

templates/types/streaming/express/src/controllers/stream-helper.ts

@@ -17,6 +17,22 @@ export function appendImageData(data: StreamData, imageUrl?: string) {
   });
 }
 
+function getNodeUrl(metadata: Metadata) {
+  const url = metadata["URL"];
+  if (url) return url;
+  const fileName = metadata["file_name"];
+  if (!process.env.FILESERVER_URL_PREFIX) {
+    console.warn(
+      "FILESERVER_URL_PREFIX is not set. File URLs will not be generated.",
+    );
+    return undefined;
+  }
+  if (fileName) {
+    return `${process.env.FILESERVER_URL_PREFIX}/data/${fileName}`;
+  }
+  return undefined;
+}
+
 export function appendSourceData(
   data: StreamData,
   sourceNodes?: NodeWithScore<Metadata>[],
@@ -29,6 +45,7 @@ export function appendSourceData(
         ...node.node.toMutableJSON(),
         id: node.node.id_,
         score: node.score ?? null,
+        url: getNodeUrl(node.node.metadata),
       })),
     },
   });
@@ -65,6 +82,15 @@ export function appendToolData(
   });
 }
 
+export function createStreamTimeout(stream: StreamData) {
+  const timeout = Number(process.env.STREAM_TIMEOUT ?? 1000 * 60 * 5); // default to 5 minutes
+  const t = setTimeout(() => {
+    appendEventData(stream, `Stream timed out after ${timeout / 1000} seconds`);
+    stream.close();
+  }, timeout);
+  return t;
+}
+
 export function createCallbackManager(stream: StreamData) {
   const callbackManager = new CallbackManager();
 
@@ -95,3 +121,17 @@ export function createCallbackManager(stream: StreamData) {
 
   return callbackManager;
 }
+
+export type UploadedCsv = {
+  content: string;
+  filename: string;
+  filesize: number;
+};
+
+export function appendCsvData(data: StreamData, uploadedCsv?: UploadedCsv) {
+  if (!uploadedCsv) return;
+  data.appendMessageAnnotation({
+    type: "csv",
+    data: uploadedCsv,
+  });
+}

templates/types/streaming/fastapi/app/api/routers/chat.py

@@ -1,3 +1,5 @@
+import os
+import logging
 from pydantic import BaseModel
 from typing import List, Any, Optional, Dict, Tuple
 from fastapi import APIRouter, Depends, HTTPException, Request, status
@@ -11,6 +13,7 @@ from aiostream import stream
 
 chat_router = r = APIRouter()
 
+logger = logging.getLogger("uvicorn")
 
 class _Message(BaseModel):
     role: MessageRole
@@ -38,14 +41,27 @@ class _SourceNodes(BaseModel):
     metadata: Dict[str, Any]
     score: Optional[float]
     text: str
+    url: Optional[str]
 
     @classmethod
     def from_source_node(cls, source_node: NodeWithScore):
+        metadata = source_node.node.metadata
+        url = metadata.get("URL")
+        
+        if not url:
+            file_name = metadata.get("file_name")
+            url_prefix = os.getenv("FILESERVER_URL_PREFIX")
+            if not url_prefix:
+                logger.warning("Warning: FILESERVER_URL_PREFIX not set in environment variables")
+            if file_name and url_prefix:
+                url = f"{url_prefix}/data/{file_name}"
+
         return cls(
             id=source_node.node.node_id,
-            metadata=source_node.node.metadata,
+            metadata=metadata,
             score=source_node.score,
             text=source_node.node.text,  # type: ignore
+            url=url
         )
 
     @classmethod

templates/types/streaming/nextjs/app/api/chat/llamaindex-stream.ts

@@ -6,6 +6,7 @@ import {
   type AIStreamCallbacksAndOptions,
 } from "ai";
 import {
+  MessageContent,
   Metadata,
   NodeWithScore,
   Response,
@@ -13,20 +14,61 @@ import {
 } from "llamaindex";
 
 import { AgentStreamChatResponse } from "llamaindex/agent/base";
-import { appendImageData, appendSourceData } from "./stream-helper";
+import {
+  UploadedCsv,
+  appendCsvData,
+  appendImageData,
+  appendSourceData,
+} from "./stream-helper";
 
 type LlamaIndexResponse =
   | AgentStreamChatResponse<ToolCallLLMMessageOptions>
   | Response;
 
-type ParserOptions = {
+export type DataParserOptions = {
-  image_url?: string;
+  imageUrl?: string;
+  uploadedCsv?: UploadedCsv;
+};
+
+export const convertMessageContent = (
+  textMessage: string,
+  additionalData?: DataParserOptions,
+): MessageContent => {
+  if (!additionalData) return textMessage;
+  const content: MessageContent = [
+    {
+      type: "text",
+      text: textMessage,
+    },
+  ];
+  if (additionalData?.imageUrl) {
+    content.push({
+      type: "image_url",
+      image_url: {
+        url: additionalData?.imageUrl,
+      },
+    });
+  }
+
+  if (additionalData?.uploadedCsv) {
+    const csvContent =
+      "Use the following CSV data:\n" +
+      "```csv\n" +
+      additionalData.uploadedCsv.content +
+      "\n```";
+    content.push({
+      type: "text",
+      text: `${csvContent}\n\n${textMessage}`,
+    });
+  }
+
+  return content;
 };
 
 function createParser(
   res: AsyncIterable<LlamaIndexResponse>,
   data: StreamData,
-  opts?: ParserOptions,
+  opts?: DataParserOptions,
 ) {
   const it = res[Symbol.asyncIterator]();
   const trimStartOfStream = trimStartOfStreamHelper();
@@ -34,7 +76,8 @@ function createParser(
   let sourceNodes: NodeWithScore<Metadata>[] | undefined;
   return new ReadableStream<string>({
     start() {
-      appendImageData(data, opts?.image_url);
+      appendImageData(data, opts?.imageUrl);
+      appendCsvData(data, opts?.uploadedCsv);
     },
     async pull(controller): Promise<void> {
       const { value, done } = await it.next();
@@ -72,7 +115,7 @@ export function LlamaIndexStream(
   data: StreamData,
   opts?: {
     callbacks?: AIStreamCallbacksAndOptions;
-    parserOptions?: ParserOptions;
+    parserOptions?: DataParserOptions;
   },
 ): ReadableStream<Uint8Array> {
   return createParser(response, data, opts?.parserOptions)

templates/types/streaming/nextjs/app/api/chat/route.ts

@@ -1,11 +1,15 @@
 import { initObservability } from "@/app/observability";
 import { Message, StreamData, StreamingTextResponse } from "ai";
-import { ChatMessage, MessageContent, Settings } from "llamaindex";
+import { ChatMessage, Settings } from "llamaindex";
 import { NextRequest, NextResponse } from "next/server";
 import { createChatEngine } from "./engine/chat";
 import { initSettings } from "./engine/settings";
-import { LlamaIndexStream } from "./llamaindex-stream";
+import {
-import { createCallbackManager } from "./stream-helper";
+  DataParserOptions,
+  LlamaIndexStream,
+  convertMessageContent,
+} from "./llamaindex-stream";
+import { createCallbackManager, createStreamTimeout } from "./stream-helper";
 
 initObservability();
 initSettings();
@@ -13,29 +17,17 @@ initSettings();
 export const runtime = "nodejs";
 export const dynamic = "force-dynamic";
 
-const convertMessageContent = (
-  textMessage: string,
-  imageUrl: string | undefined,
-): MessageContent => {
-  if (!imageUrl) return textMessage;
-  return [
-    {
-      type: "text",
-      text: textMessage,
-    },
-    {
-      type: "image_url",
-      image_url: {
-        url: imageUrl,
-      },
-    },
-  ];
-};
-
 export async function POST(request: NextRequest) {
+  // Init Vercel AI StreamData and timeout
+  const vercelStreamData = new StreamData();
+  const streamTimeout = createStreamTimeout(vercelStreamData);
+
   try {
     const body = await request.json();
-    const { messages, data }: { messages: Message[]; data: any } = body;
+    const {
+      messages,
+      data,
+    }: { messages: Message[]; data: DataParserOptions | undefined } = body;
     const userMessage = messages.pop();
     if (!messages || !userMessage || userMessage.role !== "user") {
       return NextResponse.json(
@@ -50,13 +42,7 @@ export async function POST(request: NextRequest) {
     const chatEngine = await createChatEngine();
 
     // Convert message content from Vercel/AI format to LlamaIndex/OpenAI format
-    const userMessageContent = convertMessageContent(
+    const userMessageContent = convertMessageContent(userMessage.content, data);
-      userMessage.content,
-      data?.imageUrl,
-    );
-
-    // Init Vercel AI StreamData
-    const vercelStreamData = new StreamData();
 
     // Setup callbacks
     const callbackManager = createCallbackManager(vercelStreamData);
@@ -73,7 +59,8 @@ export async function POST(request: NextRequest) {
     // Transform LlamaIndex stream to Vercel/AI format
     const stream = LlamaIndexStream(response, vercelStreamData, {
       parserOptions: {
-        image_url: data?.imageUrl,
+        imageUrl: data?.imageUrl,
+        uploadedCsv: data?.uploadedCsv,
       },
     });
 
@@ -89,5 +76,7 @@ export async function POST(request: NextRequest) {
         status: 500,
       },
     );
+  } finally {
+    clearTimeout(streamTimeout);
   }
 }

templates/types/streaming/nextjs/app/api/chat/stream-helper.ts

@@ -17,6 +17,22 @@ export function appendImageData(data: StreamData, imageUrl?: string) {
   });
 }
 
+function getNodeUrl(metadata: Metadata) {
+  const url = metadata["URL"];
+  if (url) return url;
+  const fileName = metadata["file_name"];
+  if (!process.env.FILESERVER_URL_PREFIX) {
+    console.warn(
+      "FILESERVER_URL_PREFIX is not set. File URLs will not be generated.",
+    );
+    return undefined;
+  }
+  if (fileName) {
+    return `${process.env.FILESERVER_URL_PREFIX}/data/${fileName}`;
+  }
+  return undefined;
+}
+
 export function appendSourceData(
   data: StreamData,
   sourceNodes?: NodeWithScore<Metadata>[],
@@ -29,6 +45,7 @@ export function appendSourceData(
         ...node.node.toMutableJSON(),
         id: node.node.id_,
         score: node.score ?? null,
+        url: getNodeUrl(node.node.metadata),
       })),
     },
   });
@@ -65,6 +82,15 @@ export function appendToolData(
   });
 }
 
+export function createStreamTimeout(stream: StreamData) {
+  const timeout = Number(process.env.STREAM_TIMEOUT ?? 1000 * 60 * 5); // default to 5 minutes
+  const t = setTimeout(() => {
+    appendEventData(stream, `Stream timed out after ${timeout / 1000} seconds`);
+    stream.close();
+  }, timeout);
+  return t;
+}
+
 export function createCallbackManager(stream: StreamData) {
   const callbackManager = new CallbackManager();
 
@@ -95,3 +121,17 @@ export function createCallbackManager(stream: StreamData) {
 
   return callbackManager;
 }
+
+export type UploadedCsv = {
+  content: string;
+  filename: string;
+  filesize: number;
+};
+
+export function appendCsvData(data: StreamData, uploadedCsv?: UploadedCsv) {
+  if (!uploadedCsv) return;
+  data.appendMessageAnnotation({
+    type: "csv",
+    data: uploadedCsv,
+  });
+}

templates/types/streaming/nextjs/app/components/chat-section.tsx

@@ -37,7 +37,7 @@ export default function ChatSection() {
         handleSubmit={handleSubmit}
         handleInputChange={handleInputChange}
         isLoading={isLoading}
-        multiModal={true}
+        messages={messages}
       />
     </div>
   );

templates/types/streaming/nextjs/app/components/ui/chat/chat-input.tsx

@@ -1,8 +1,11 @@
-import { useState } from "react";
+import { useEffect, useState } from "react";
+import { CsvData, getInputResources } from ".";
 import { Button } from "../button";
 import FileUploader from "../file-uploader";
 import { Input } from "../input";
+import UploadCsvPreview from "../upload-csv-preview";
 import UploadImagePreview from "../upload-image-preview";
+import ChatResources from "./chat-resources";
 import { ChatHandler } from "./chat.interface";
 
 export default function ChatInput(
@@ -14,11 +17,21 @@ export default function ChatInput(
     | "onFileError"
     | "handleSubmit"
     | "handleInputChange"
-  > & {
+    | "messages"
-    multiModal?: boolean;
+  >,
-  },
 ) {
   const [imageUrl, setImageUrl] = useState<string | null>(null);
+  const [uploadedCsv, setUploadedCsv] = useState<CsvData>();
+  const [inputResources, setInputResources] = useState<
+    Array<CsvData & { selected: boolean }>
+  >([]);
+
+  useEffect(() => {
+    const resources = getInputResources(props.messages);
+    setInputResources(
+      resources.csv.map((data) => ({ ...data, selected: true })),
+    );
+  }, [props.messages]);
 
   const onSubmit = (e: React.FormEvent<HTMLFormElement>) => {
     if (imageUrl) {
@@ -28,6 +41,24 @@ export default function ChatInput(
       setImageUrl(null);
       return;
     }
+    // if users upload a new csv file, we will send it to backend
+    if (uploadedCsv) {
+      props.handleSubmit(e, {
+        data: { uploadedCsv },
+      });
+      setUploadedCsv(undefined);
+      return;
+    }
+
+    // if  users upload a new csv file, we can reuse provided csv resources
+    const attachCsv = inputResources.filter((r) => r.selected)[0];
+    if (attachCsv) {
+      props.handleSubmit(e, {
+        data: { uploadedCsv: attachCsv },
+      });
+      return;
+    }
+
     props.handleSubmit(e);
   };
 
@@ -43,25 +74,62 @@ export default function ChatInput(
     setImageUrl(base64);
   };
 
+  const handleUploadCsvFile = async (file: File) => {
+    const content = await new Promise<string>((resolve, reject) => {
+      const reader = new FileReader();
+      reader.readAsText(file);
+      reader.onload = () => resolve(reader.result as string);
+      reader.onerror = (error) => reject(error);
+    });
+    setUploadedCsv({
+      content,
+      filename: file.name,
+      filesize: file.size,
+    });
+  };
+
   const handleUploadFile = async (file: File) => {
     try {
-      if (props.multiModal && file.type.startsWith("image/")) {
+      if (file.type.startsWith("image/")) {
         return await handleUploadImageFile(file);
       }
+      if (file.type === "text/csv") {
+        return await handleUploadCsvFile(file);
+      }
       props.onFileUpload?.(file);
     } catch (error: any) {
       props.onFileError?.(error.message);
     }
   };
 
+  const removeResource = (index: number) => {
+    setInputResources((resources) => {
+      const newResources = [...resources];
+      newResources[index].selected = false;
+      return newResources;
+    });
+  };
+
   return (
     <form
       onSubmit={onSubmit}
       className="rounded-xl bg-white p-4 shadow-xl space-y-4"
     >
+      <ChatResources
+        isLoading={props.isLoading}
+        resources={inputResources}
+        removeResource={removeResource}
+      />
       {imageUrl && (
         <UploadImagePreview url={imageUrl} onRemove={onRemovePreviewImage} />
       )}
+      {uploadedCsv && (
+        <UploadCsvPreview
+          filename={uploadedCsv.filename}
+          filesize={uploadedCsv.filesize}
+          onRemove={() => setUploadedCsv(undefined)}
+        />
+      )}
       <div className="flex w-full items-start justify-between gap-4 ">
         <Input
           autoFocus

templates/types/streaming/nextjs/app/components/ui/chat/chat-message.tsx

@@ -8,14 +8,16 @@ import { ChatEvents } from "./chat-events";
 import { ChatImage } from "./chat-image";
 import { ChatSources } from "./chat-sources";
 import ChatTools from "./chat-tools";
+import CsvContent from "./csv-content";
 import {
-  AnnotationData,
+  CsvData,
   EventData,
   ImageData,
   MessageAnnotation,
   MessageAnnotationType,
   SourceData,
   ToolData,
+  getAnnotationData,
 } from "./index";
 import Markdown from "./markdown";
 import { useCopyToClipboard } from "./use-copy-to-clipboard";
@@ -25,13 +27,6 @@ type ContentDisplayConfig = {
   component: JSX.Element | null;
 };
 
-function getAnnotationData<T extends AnnotationData>(
-  annotations: MessageAnnotation[],
-  type: MessageAnnotationType,
-): T[] {
-  return annotations.filter((a) => a.type === type).map((a) => a.data as T);
-}
-
 function ChatMessageContent({
   message,
   isLoading,
@@ -46,6 +41,10 @@ function ChatMessageContent({
     annotations,
     MessageAnnotationType.IMAGE,
   );
+  const csvData = getAnnotationData<CsvData>(
+    annotations,
+    MessageAnnotationType.CSV,
+  );
   const eventData = getAnnotationData<EventData>(
     annotations,
     MessageAnnotationType.EVENTS,
@@ -61,16 +60,20 @@ function ChatMessageContent({
 
   const contents: ContentDisplayConfig[] = [
     {
-      order: -3,
+      order: -4,
       component: imageData[0] ? <ChatImage data={imageData[0]} /> : null,
     },
     {
-      order: -2,
+      order: -3,
       component:
         eventData.length > 0 ? (
           <ChatEvents isLoading={isLoading} data={eventData} />
         ) : null,
     },
+    {
+      order: -2,
+      component: csvData[0] ? <CsvContent data={csvData[0]} /> : null,
+    },
     {
       order: -1,
       component: toolData[0] ? <ChatTools data={toolData[0]} /> : null,

templates/types/streaming/nextjs/app/components/ui/chat/chat-resources.tsx

@@ -0,0 +1,48 @@
+import { Loader2, XIcon } from "lucide-react";
+import Image from "next/image";
+import { CsvData } from ".";
+import SheetIcon from "../../ui/icons/sheet.svg";
+
+export interface ChatResourcesProps {
+  isLoading: boolean;
+  resources: Array<CsvData & { selected: boolean }>;
+  removeResource: (index: number) => void;
+}
+
+export default function ChatResources(props: ChatResourcesProps) {
+  if (!props.resources.length) return null;
+  return (
+    <div className="flex gap-4 text-sm">
+      {props.resources.map((data, index) => {
+        if (!data.selected) return null;
+        const fileSizeInKB = Math.round((data.filesize / 1024) * 10) / 10;
+        return (
+          <div
+            className="border-2 border-green-700 py-2 px-3 rounded-lg flex gap-2 items-center"
+            key={data.filename}
+          >
+            <div className="h-4 w-4 shrink-0 rounded-md">
+              <Image
+                className="h-full w-auto"
+                priority
+                src={SheetIcon}
+                alt="SheetIcon"
+              />
+            </div>
+            <span>
+              {data.filename} - {fileSizeInKB} KB
+            </span>
+            {props.isLoading ? (
+              <Loader2 className="h-4 w-4 animate-spin" />
+            ) : (
+              <XIcon
+                className="w-4 h-4 cursor-pointer"
+                onClick={() => props.removeResource(index)}
+              />
+            )}
+          </div>
+        );
+      })}
+    </div>
+  );
+}

templates/types/streaming/nextjs/app/components/ui/chat/chat-sources.tsx

@@ -2,12 +2,10 @@ import { Check, Copy } from "lucide-react";
 import { useMemo } from "react";
 import { Button } from "../button";
 import { HoverCard, HoverCardContent, HoverCardTrigger } from "../hover-card";
-import { getStaticFileDataUrl } from "../lib/url";
+import { SourceData } from "./index";
-import { SourceData, SourceNode } from "./index";
 import { useCopyToClipboard } from "./use-copy-to-clipboard";
 import PdfDialog from "./widgets/PdfDialog";
 
-const DATA_SOURCE_FOLDER = "data";
 const SCORE_THRESHOLD = 0.3;
 
 function SourceNumberButton({ index }: { index: number }) {
@@ -18,46 +16,11 @@ function SourceNumberButton({ index }: { index: number }) {
   );
 }
 
-enum NODE_TYPE {
-  URL,
-  FILE,
-  UNKNOWN,
-}
-
 type NodeInfo = {
   id: string;
-  type: NODE_TYPE;
-  path?: string;
   url?: string;
 };
 
-function getNodeInfo(node: SourceNode): NodeInfo {
-  if (typeof node.metadata["URL"] === "string") {
-    const url = node.metadata["URL"];
-    return {
-      id: node.id,
-      type: NODE_TYPE.URL,
-      path: url,
-      url,
-    };
-  }
-  if (typeof node.metadata["file_path"] === "string") {
-    const fileName = node.metadata["file_name"] as string;
-    const filePath = `${DATA_SOURCE_FOLDER}/${fileName}`;
-    return {
-      id: node.id,
-      type: NODE_TYPE.FILE,
-      path: node.metadata["file_path"],
-      url: getStaticFileDataUrl(filePath),
-    };
-  }
-
-  return {
-    id: node.id,
-    type: NODE_TYPE.UNKNOWN,
-  };
-}
-
 export function ChatSources({ data }: { data: SourceData }) {
   const sources: NodeInfo[] = useMemo(() => {
     // aggregate nodes by url or file_path (get the highest one by score)
@@ -67,8 +30,11 @@ export function ChatSources({ data }: { data: SourceData }) {
       .filter((node) => (node.score ?? 1) > SCORE_THRESHOLD)
       .sort((a, b) => (b.score ?? 1) - (a.score ?? 1))
       .forEach((node) => {
-        const nodeInfo = getNodeInfo(node);
+        const nodeInfo = {
-        const key = nodeInfo.path ?? nodeInfo.id; // use id as key for UNKNOWN type
+          id: node.id,
+          url: node.url,
+        };
+        const key = nodeInfo.url ?? nodeInfo.id; // use id as key for UNKNOWN type
         if (!nodesByPath[key]) {
           nodesByPath[key] = nodeInfo;
         }
@@ -84,13 +50,12 @@ export function ChatSources({ data }: { data: SourceData }) {
       <span className="font-semibold">Sources:</span>
       <div className="inline-flex gap-1 items-center">
         {sources.map((nodeInfo: NodeInfo, index: number) => {
-          if (nodeInfo.path?.endsWith(".pdf")) {
+          if (nodeInfo.url?.endsWith(".pdf")) {
             return (
               <PdfDialog
                 key={nodeInfo.id}
                 documentId={nodeInfo.id}
                 url={nodeInfo.url!}
-                path={nodeInfo.path}
                 trigger={<SourceNumberButton index={index} />}
               />
             );
@@ -116,16 +81,16 @@ export function ChatSources({ data }: { data: SourceData }) {
 function NodeInfo({ nodeInfo }: { nodeInfo: NodeInfo }) {
   const { isCopied, copyToClipboard } = useCopyToClipboard({ timeout: 1000 });
 
-  if (nodeInfo.type !== NODE_TYPE.UNKNOWN) {
+  if (nodeInfo.url) {
     // this is a node generated by the web loader or file loader,
     // add a link to view its URL and a button to copy the URL to the clipboard
     return (
       <div className="flex items-center my-2">
         <a className="hover:text-blue-900" href={nodeInfo.url} target="_blank">
-          <span>{nodeInfo.path}</span>
+          <span>{nodeInfo.url}</span>
         </a>
         <Button
-          onClick={() => copyToClipboard(nodeInfo.path!)}
+          onClick={() => copyToClipboard(nodeInfo.url!)}
           size="icon"
           variant="ghost"
           className="h-12 w-12 shrink-0"

templates/types/streaming/nextjs/app/components/ui/chat/csv-content.tsx

@@ -0,0 +1,15 @@
+import { CsvData } from ".";
+
+const LIMIT_DISPLAY = 100; // Limit the display of CSV content to 100 characters
+
+export default function CsvContent({ data }: { data: CsvData }) {
+  const summaryContent = data.content.slice(0, LIMIT_DISPLAY) + "...";
+  return (
+    <div className="space-y-2">
+      <h3 className="font-semibold">CSV Raw Content</h3>
+      <pre className="bg-secondary max-h-[200px] overflow-auto rounded-md p-4 block text-sm">
+        {summaryContent}
+      </pre>
+    </div>
+  );
+}

templates/types/streaming/nextjs/app/components/ui/chat/index.ts

@@ -1,4 +1,4 @@
-import { JSONValue } from "ai";
+import { JSONValue, Message } from "ai";
 import ChatInput from "./chat-input";
 import ChatMessages from "./chat-messages";
 
@@ -6,6 +6,7 @@ export { type ChatHandler } from "./chat.interface";
 export { ChatInput, ChatMessages };
 
 export enum MessageAnnotationType {
+  CSV = "csv",
   IMAGE = "image",
   SOURCES = "sources",
   EVENTS = "events",
@@ -16,11 +17,18 @@ export type ImageData = {
   url: string;
 };
 
+export type CsvData = {
+  content: string;
+  filename: string;
+  filesize: number;
+};
+
 export type SourceNode = {
   id: string;
   metadata: Record<string, unknown>;
   score?: number;
   text: string;
+  url?: string;
 };
 
 export type SourceData = {
@@ -46,9 +54,50 @@ export type ToolData = {
   };
 };
 
-export type AnnotationData = ImageData | SourceData | EventData | ToolData;
+export type AnnotationData =
+  | ImageData
+  | CsvData
+  | SourceData
+  | EventData
+  | ToolData;
 
 export type MessageAnnotation = {
   type: MessageAnnotationType;
   data: AnnotationData;
 };
+
+export function getAnnotationData<T extends AnnotationData>(
+  annotations: MessageAnnotation[],
+  type: MessageAnnotationType,
+): T[] {
+  return annotations.filter((a) => a.type === type).map((a) => a.data as T);
+}
+
+// this function is used to get the additional resources for a message
+// it filters the annotations of a message and returns the unique resources
+// currently only CSV resources are supported
+export const getInputResources = (
+  messages: Message[],
+): {
+  csv: Array<CsvData>;
+} => {
+  const csvResources: CsvData[] = [];
+  messages.forEach((message) => {
+    if (message.annotations) {
+      const csvData = getAnnotationData<CsvData>(
+        message.annotations as MessageAnnotation[],
+        MessageAnnotationType.CSV,
+      );
+      csvData.forEach((data) => {
+        if (
+          csvResources.findIndex((r) => r.filename === data.filename) === -1
+        ) {
+          csvResources.push(data);
+        }
+      });
+    }
+  });
+  return {
+    csv: csvResources,
+  };
+};

templates/types/streaming/nextjs/app/components/ui/chat/widgets/PdfDialog.tsx

@@ -12,7 +12,6 @@ import {
 
 export interface PdfDialogProps {
   documentId: string;
-  path: string;
   url: string;
   trigger: React.ReactNode;
 }
@@ -26,13 +25,13 @@ export default function PdfDialog(props: PdfDialogProps) {
           <div className="space-y-2">
             <DrawerTitle>PDF Content</DrawerTitle>
             <DrawerDescription>
-              File path:{" "}
+              File URL:{" "}
               <a
                 className="hover:text-blue-900"
                 href={props.url}
                 target="_blank"
               >
-                {props.path}
+                {props.url}
               </a>
             </DrawerDescription>
           </div>

templates/types/streaming/nextjs/app/components/ui/icons/sheet.svg

@@ -0,0 +1,90 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="49px" height="67px" viewBox="0 0 49 67" version="1.1"
+    xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>Sheets-icon</title>
+    <desc>Created with Sketch.</desc>
+    <defs>
+        <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L29.5833333,0 Z" id="path-1"></path>
+        <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L29.5833333,0 Z" id="path-3"></path>
+        <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L29.5833333,0 Z" id="path-5"></path>
+        <linearGradient x1="50.0053945%" y1="8.58610612%" x2="50.0053945%" y2="100.013939%" id="linearGradient-7">
+            <stop stop-color="#263238" stop-opacity="0.2" offset="0%"></stop>
+            <stop stop-color="#263238" stop-opacity="0.02" offset="100%"></stop>
+        </linearGradient>
+        <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L29.5833333,0 Z" id="path-8"></path>
+        <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L29.5833333,0 Z" id="path-10"></path>
+        <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L29.5833333,0 Z" id="path-12"></path>
+        <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L29.5833333,0 Z" id="path-14"></path>
+        <radialGradient cx="3.16804688%" cy="2.71744318%" fx="3.16804688%" fy="2.71744318%" r="161.248516%" gradientTransform="translate(0.031680,0.027174),scale(1.000000,0.727273),translate(-0.031680,-0.027174)" id="radialGradient-16">
+            <stop stop-color="#FFFFFF" stop-opacity="0.1" offset="0%"></stop>
+            <stop stop-color="#FFFFFF" stop-opacity="0" offset="100%"></stop>
+        </radialGradient>
+    </defs>
+    <g id="Page-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="Consumer-Apps-Sheets-Large-VD-R8-" transform="translate(-451.000000, -451.000000)">
+            <g id="Hero" transform="translate(0.000000, 63.000000)">
+                <g id="Personal" transform="translate(277.000000, 299.000000)">
+                    <g id="Sheets-icon" transform="translate(174.833333, 89.958333)">
+                        <g id="Group">
+                            <g id="Clipped">
+                                <mask id="mask-2" fill="white">
+                                    <use xlink:href="#path-1"></use>
+                                </mask>
+                                <g id="SVGID_1_"></g>
+                                <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L36.9791667,10.3541667 L29.5833333,0 Z" id="Path" fill="#0F9D58" fill-rule="nonzero" mask="url(#mask-2)"></path>
+                            </g>
+                            <g id="Clipped">
+                                <mask id="mask-4" fill="white">
+                                    <use xlink:href="#path-3"></use>
+                                </mask>
+                                <g id="SVGID_1_"></g>
+                                <path d="M11.8333333,31.8020833 L11.8333333,53.25 L35.5,53.25 L35.5,31.8020833 L11.8333333,31.8020833 Z M22.1875,50.2916667 L14.7916667,50.2916667 L14.7916667,46.59375 L22.1875,46.59375 L22.1875,50.2916667 Z M22.1875,44.375 L14.7916667,44.375 L14.7916667,40.6770833 L22.1875,40.6770833 L22.1875,44.375 Z M22.1875,38.4583333 L14.7916667,38.4583333 L14.7916667,34.7604167 L22.1875,34.7604167 L22.1875,38.4583333 Z M32.5416667,50.2916667 L25.1458333,50.2916667 L25.1458333,46.59375 L32.5416667,46.59375 L32.5416667,50.2916667 Z M32.5416667,44.375 L25.1458333,44.375 L25.1458333,40.6770833 L32.5416667,40.6770833 L32.5416667,44.375 Z M32.5416667,38.4583333 L25.1458333,38.4583333 L25.1458333,34.7604167 L32.5416667,34.7604167 L32.5416667,38.4583333 Z" id="Shape" fill="#F1F1F1" fill-rule="nonzero" mask="url(#mask-4)"></path>
+                            </g>
+                            <g id="Clipped">
+                                <mask id="mask-6" fill="white">
+                                    <use xlink:href="#path-5"></use>
+                                </mask>
+                                <g id="SVGID_1_"></g>
+                                <polygon id="Path" fill="url(#linearGradient-7)" fill-rule="nonzero" mask="url(#mask-6)" points="30.8813021 16.4520313 47.3333333 32.9003646 47.3333333 17.75"></polygon>
+                            </g>
+                            <g id="Clipped">
+                                <mask id="mask-9" fill="white">
+                                    <use xlink:href="#path-8"></use>
+                                </mask>
+                                <g id="SVGID_1_"></g>
+                                <g id="Group" mask="url(#mask-9)">
+                                    <g transform="translate(26.625000, -2.958333)">
+                                        <path d="M2.95833333,2.95833333 L2.95833333,16.2708333 C2.95833333,18.7225521 4.94411458,20.7083333 7.39583333,20.7083333 L20.7083333,20.7083333 L2.95833333,2.95833333 Z" id="Path" fill="#87CEAC" fill-rule="nonzero"></path>
+                                    </g>
+                                </g>
+                            </g>
+                            <g id="Clipped">
+                                <mask id="mask-11" fill="white">
+                                    <use xlink:href="#path-10"></use>
+                                </mask>
+                                <g id="SVGID_1_"></g>
+                                <path d="M4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,4.80729167 C0,2.36666667 1.996875,0.369791667 4.4375,0.369791667 L29.5833333,0.369791667 L29.5833333,0 L4.4375,0 Z" id="Path" fill-opacity="0.2" fill="#FFFFFF" fill-rule="nonzero" mask="url(#mask-11)"></path>
+                            </g>
+                            <g id="Clipped">
+                                <mask id="mask-13" fill="white">
+                                    <use xlink:href="#path-12"></use>
+                                </mask>
+                                <g id="SVGID_1_"></g>
+                                <path d="M42.8958333,64.7135417 L4.4375,64.7135417 C1.996875,64.7135417 0,62.7166667 0,60.2760417 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,60.2760417 C47.3333333,62.7166667 45.3364583,64.7135417 42.8958333,64.7135417 Z" id="Path" fill-opacity="0.2" fill="#263238" fill-rule="nonzero" mask="url(#mask-13)"></path>
+                            </g>
+                            <g id="Clipped">
+                                <mask id="mask-15" fill="white">
+                                    <use xlink:href="#path-14"></use>
+                                </mask>
+                                <g id="SVGID_1_"></g>
+                                <path d="M34.0208333,17.75 C31.5691146,17.75 29.5833333,15.7642188 29.5833333,13.3125 L29.5833333,13.6822917 C29.5833333,16.1340104 31.5691146,18.1197917 34.0208333,18.1197917 L47.3333333,18.1197917 L47.3333333,17.75 L34.0208333,17.75 Z" id="Path" fill-opacity="0.1" fill="#263238" fill-rule="nonzero" mask="url(#mask-15)"></path>
+                            </g>
+                        </g>
+                        <path d="M29.5833333,0 L4.4375,0 C1.996875,0 0,1.996875 0,4.4375 L0,60.6458333 C0,63.0864583 1.996875,65.0833333 4.4375,65.0833333 L42.8958333,65.0833333 C45.3364583,65.0833333 47.3333333,63.0864583 47.3333333,60.6458333 L47.3333333,17.75 L29.5833333,0 Z" id="Path" fill="url(#radialGradient-16)" fill-rule="nonzero"></path>
+                    </g>
+                </g>
+            </g>
+        </g>
+    </g>
+</svg>

templates/types/streaming/nextjs/app/components/ui/lib/url.ts

@@ -1,11 +0,0 @@
-const staticFileAPI = "/api/files";
-
-export const getStaticFileDataUrl = (filePath: string) => {
-  const isUsingBackend = !!process.env.NEXT_PUBLIC_CHAT_API;
-  const fileUrl = `${staticFileAPI}/${filePath}`;
-  if (isUsingBackend) {
-    const backendOrigin = new URL(process.env.NEXT_PUBLIC_CHAT_API!).origin;
-    return `${backendOrigin}${fileUrl}`;
-  }
-  return fileUrl;
-};

templates/types/streaming/nextjs/app/components/ui/upload-csv-preview.tsx

@@ -0,0 +1,46 @@
+import { XCircleIcon } from "lucide-react";
+import Image from "next/image";
+import SheetIcon from "../ui/icons/sheet.svg";
+import { cn } from "./lib/utils";
+
+export default function UploadCsvPreview({
+  filename,
+  filesize,
+  onRemove,
+}: {
+  filename: string;
+  filesize: number;
+  onRemove: () => void;
+}) {
+  const fileSizeInKB = Math.round((filesize / 1024) * 10) / 10;
+  return (
+    <div className="p-2 w-80 bg-secondary rounded-lg text-sm relative">
+      <div className="flex flex-row items-center gap-2">
+        <div className="relative h-10 w-10 shrink-0 overflow-hidden rounded-md">
+          <Image
+            className="h-full w-auto"
+            priority
+            src={SheetIcon}
+            alt="SheetIcon"
+          />
+        </div>
+        <div className="overflow-hidden">
+          <div className="truncate font-semibold">
+            {filename} ({fileSizeInKB} KB)
+          </div>
+          <div className="truncate text-token-text-tertiary">Spreadsheet</div>
+        </div>
+      </div>
+      <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>
+  );
+}