Release @llamaindex/vercel@0.0.2 (#1535 )

feat: add vercel chat example (#1532 )
Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>
2026-07-01 22:14:03 -04:00 · 2024-12-02 14:19:40 +07:00 · 2024-12-02 13:56:28 +07:00 · 2024-11-30 06:05:47 -08:00 · 2024-11-30 01:29:45 -08:00 · 2024-11-29 22:39:59 -08:00
190 changed files with 10424 additions and 3578 deletions
@@ -1,12 +1,16 @@
-# LlamaIndex.TS
+<p align="center">
+  <img height="100" width="100" alt="LlamaIndex logo" src="https://ts.llamaindex.ai/square.svg" />
+</p>
+<h1 align="center">LlamaIndex.TS</h1>
+<h3 align="center">
+  Data framework for your LLM application.
+</h3>

 [![NPM Version](https://img.shields.io/npm/v/llamaindex)](https://www.npmjs.com/package/llamaindex)
 [![NPM License](https://img.shields.io/npm/l/llamaindex)](https://www.npmjs.com/package/llamaindex)
 [![NPM Downloads](https://img.shields.io/npm/dm/llamaindex)](https://www.npmjs.com/package/llamaindex)
 [![Discord](https://img.shields.io/discord/1059199217496772688)](https://discord.com/invite/eN6D2HQ4aX)

-LlamaIndex is a data framework for your LLM application.
-
 Use your own data with large language models (LLMs, OpenAI ChatGPT and others) in JS runtime environments with TypeScript support.

 Documentation: https://ts.llamaindex.ai/
@@ -1,5 +1,129 @@
 # docs

+## 0.0.130
+
+### Patch Changes
+
+- Updated dependencies [fd38a25]
+  - @llamaindex/examples@0.0.17
+
+## 0.0.129
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 0.0.128
+
+### Patch Changes
+
+- llamaindex@0.8.23
+
+## 0.0.127
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+
+## 0.0.126
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 0.0.125
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 0.0.124
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - llamaindex@0.8.19
+
+## 0.0.123
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+
+## 0.0.122
+
+### Patch Changes
+
+- llamaindex@0.8.17
+
+## 0.0.121
+
+### Patch Changes
+
+- llamaindex@0.8.16
+
+## 0.0.120
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 0.0.119
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 0.0.118
+
+### Patch Changes
+
+- llamaindex@0.8.13
+- @llamaindex/examples@0.0.16
+
+## 0.0.117
+
+### Patch Changes
+
+- @llamaindex/examples@0.0.15
+
+## 0.0.116
+
+### Patch Changes
+
+- llamaindex@0.8.12
+
+## 0.0.115
+
+### Patch Changes
+
+- llamaindex@0.8.11
+
+## 0.0.114
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+  - @llamaindex/examples@0.0.14
+
+## 0.0.113
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+
 ## 0.0.112

 ### Patch Changes
@@ -62,6 +62,12 @@ const config = {
    ({
      // Replace with your project's social card
      image: "img/favicon.png", // TODO change this
+      announcementBar: {
+        id: "migrate_to_next",
+        content:
+          'We are migrating to Next.js based documentation. Check it out <a href="https://ts.llamaindex.ai/docs/llamaindex">here</a>!',
+        isCloseable: false,
+      },
      navbar: {
        title: "LlamaIndex.TS",
        logo: {
@@ -1,6 +1,6 @@
 {
  "name": "docs",
-  "version": "0.0.112",
+  "version": "0.0.130",
  "private": true,
  "scripts": {
    "docusaurus": "docusaurus",
@@ -15,23 +15,23 @@
    "typecheck": "tsc"
  },
  "dependencies": {
-    "@docusaurus/core": "3.6.0",
-    "@docusaurus/remark-plugin-npm2yarn": "3.6.0",
+    "@docusaurus/core": "3.6.1",
+    "@docusaurus/remark-plugin-npm2yarn": "3.6.1",
    "@llamaindex/examples": "workspace:*",
    "@mdx-js/react": "^3.1.0",
    "clsx": "^2.1.1",
    "llamaindex": "workspace:*",
-    "postcss": "^8.4.47",
+    "postcss": "^8.4.49",
    "prism-react-renderer": "^2.4.0",
    "raw-loader": "^4.0.2",
    "react": "^18.3.1",
    "react-dom": "18.3.1"
  },
  "devDependencies": {
-    "@docusaurus/module-type-aliases": "3.6.0",
-    "@docusaurus/preset-classic": "3.6.0",
-    "@docusaurus/theme-classic": "3.6.0",
-    "@docusaurus/types": "3.6.0",
+    "@docusaurus/module-type-aliases": "3.6.1",
+    "@docusaurus/preset-classic": "3.6.1",
+    "@docusaurus/theme-classic": "3.6.1",
+    "@docusaurus/types": "3.6.1",
    "@tsconfig/docusaurus": "2.0.3",
    "@types/node": "^22.9.0",
    "docusaurus-plugin-typedoc": "1.0.5",
@@ -1,5 +1,192 @@
 # @llamaindex/doc

+## 0.0.28
+
+### Patch Changes
+
+- fd38a25: Add vercel tool adapter to use query engine tool
+
+## 0.0.27
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 0.0.26
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.15
+- @llamaindex/core@0.4.15
+- llamaindex@0.8.23
+- @llamaindex/node-parser@0.0.16
+- @llamaindex/openai@0.1.40
+- @llamaindex/readers@1.0.17
+
+## 0.0.25
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+  - @llamaindex/cloud@2.0.14
+  - @llamaindex/core@0.4.14
+  - @llamaindex/node-parser@0.0.15
+  - @llamaindex/openai@0.1.39
+  - @llamaindex/readers@1.0.16
+
+## 0.0.24
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 0.0.23
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 0.0.22
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - @llamaindex/cloud@2.0.13
+  - @llamaindex/core@0.4.13
+  - llamaindex@0.8.19
+  - @llamaindex/node-parser@0.0.14
+  - @llamaindex/readers@1.0.15
+  - @llamaindex/openai@0.1.38
+
+## 0.0.21
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+- Updated dependencies [ef4f63d]
+  - llamaindex@0.8.18
+  - @llamaindex/core@0.4.12
+  - @llamaindex/cloud@2.0.12
+  - @llamaindex/node-parser@0.0.13
+  - @llamaindex/openai@0.1.37
+  - @llamaindex/readers@1.0.14
+
+## 0.0.20
+
+### Patch Changes
+
+- Updated dependencies [6d22fa2]
+  - @llamaindex/core@0.4.11
+  - @llamaindex/cloud@2.0.11
+  - llamaindex@0.8.17
+  - @llamaindex/node-parser@0.0.12
+  - @llamaindex/openai@0.1.36
+  - @llamaindex/readers@1.0.13
+
+## 0.0.19
+
+### Patch Changes
+
+- Updated dependencies [e60328b]
+  - @llamaindex/readers@1.0.12
+  - llamaindex@0.8.16
+
+## 0.0.18
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 0.0.17
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 0.0.16
+
+### Patch Changes
+
+- Updated dependencies [a7b0ac3]
+- Updated dependencies [ee20c44]
+- Updated dependencies [c69605f]
+  - @llamaindex/core@0.4.10
+  - @llamaindex/workflow@0.0.6
+  - llamaindex@0.8.13
+  - @llamaindex/cloud@2.0.10
+  - @llamaindex/node-parser@0.0.11
+  - @llamaindex/openai@0.1.35
+  - @llamaindex/readers@1.0.11
+
+## 0.0.15
+
+### Patch Changes
+
+- Updated dependencies [ea92b69]
+- Updated dependencies [fadc8b8]
+  - @llamaindex/workflow@0.0.5
+
+## 0.0.14
+
+### Patch Changes
+
+- Updated dependencies [7ae6eaa]
+  - @llamaindex/core@0.4.9
+  - @llamaindex/openai@0.1.34
+  - @llamaindex/cloud@2.0.9
+  - llamaindex@0.8.12
+  - @llamaindex/node-parser@0.0.10
+  - @llamaindex/readers@1.0.10
+
+## 0.0.13
+
+### Patch Changes
+
+- Updated dependencies [f865c98]
+  - @llamaindex/core@0.4.8
+  - @llamaindex/cloud@2.0.8
+  - llamaindex@0.8.11
+  - @llamaindex/node-parser@0.0.9
+  - @llamaindex/openai@0.1.33
+  - @llamaindex/readers@1.0.9
+
+## 0.0.12
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+- Updated dependencies [d89ebe0]
+- Updated dependencies [fd8c882]
+- Updated dependencies [fd8c882]
+  - llamaindex@0.8.10
+  - @llamaindex/core@0.4.7
+  - @llamaindex/workflow@0.0.4
+  - @llamaindex/cloud@2.0.7
+  - @llamaindex/node-parser@0.0.8
+  - @llamaindex/openai@0.1.32
+  - @llamaindex/readers@1.0.8
+
+## 0.0.11
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+  - @llamaindex/cloud@2.0.6
+  - @llamaindex/core@0.4.6
+  - @llamaindex/node-parser@0.0.7
+  - @llamaindex/openai@0.1.31
+  - @llamaindex/readers@1.0.7
+
 ## 0.0.10

 ### Patch Changes
@@ -6,6 +6,7 @@ const withMDX = createMDX();
 const config = {
  reactStrictMode: true,
  transpilePackages: ["monaco-editor"],
+  serverExternalPackages: ["@huggingface/transformers"],
  webpack: (config, { isServer }) => {
    if (Array.isArray(config.target) && config.target.includes("web")) {
      config.target = ["web", "es2020"];
@@ -26,6 +27,7 @@ const config = {
        }),
      );
    }
+    config.resolve.alias["replicate"] = false;
    return config;
  },
 };
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/doc",
-  "version": "0.0.10",
+  "version": "0.0.28",
  "private": true,
  "scripts": {
    "build": "pnpm run build:docs && next build",
@@ -12,7 +12,7 @@
  },
  "dependencies": {
    "@icons-pack/react-simple-icons": "^10.1.0",
-    "@llamaindex/chat-ui": "0.0.5",
+    "@llamaindex/chat-ui": "0.0.9",
    "@llamaindex/cloud": "workspace:*",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/node-parser": "workspace:*",
@@ -20,31 +20,31 @@
    "@llamaindex/readers": "workspace:*",
    "@llamaindex/workflow": "workspace:*",
    "@mdx-js/mdx": "^3.1.0",
-    "@number-flow/react": "^0.3.0",
+    "@number-flow/react": "^0.3.4",
    "@radix-ui/react-dialog": "^1.1.2",
-    "@radix-ui/react-icons": "^1.3.1",
+    "@radix-ui/react-icons": "^1.3.2",
    "@radix-ui/react-label": "^2.1.0",
    "@radix-ui/react-slider": "^1.2.1",
    "@radix-ui/react-slot": "^1.1.0",
-    "@radix-ui/react-tooltip": "^1.1.3",
+    "@radix-ui/react-tooltip": "^1.1.4",
    "@vercel/functions": "^1.5.0",
-    "ai": "^3.4.31",
+    "ai": "^3.4.33",
    "class-variance-authority": "^0.7.0",
    "clsx": "2.1.1",
-    "foxact": "^0.2.40",
-    "framer-motion": "^11.11.11",
-    "fumadocs-core": "14.2.0",
-    "fumadocs-docgen": "^1.3.1",
+    "foxact": "^0.2.41",
+    "framer-motion": "^11.11.17",
+    "fumadocs-core": "14.4.2",
+    "fumadocs-docgen": "^1.3.2",
    "fumadocs-mdx": "^11.1.1",
-    "fumadocs-openapi": "^5.5.6",
+    "fumadocs-openapi": "^5.7.0",
    "fumadocs-twoslash": "^2.0.1",
-    "fumadocs-typescript": "^3.0.1",
-    "fumadocs-ui": "14.2.0",
+    "fumadocs-typescript": "^3.0.2",
+    "fumadocs-ui": "14.4.2",
    "hast-util-to-jsx-runtime": "^2.3.2",
    "llamaindex": "workspace:*",
-    "lucide-react": "^0.454.0",
-    "next": "15.0.2",
-    "next-themes": "^0.3.0",
+    "lucide-react": "^0.460.0",
+    "next": "15.0.3",
+    "next-themes": "^0.4.3",
    "react": "^18.3.1",
    "react-dom": "^18.3.1",
    "react-icons": "^5.3.0",
@@ -54,19 +54,19 @@
    "rehype-katex": "^7.0.1",
    "remark-math": "^6.0.0",
    "rimraf": "^6.0.1",
-    "shiki": "^1.22.2",
+    "shiki": "^1.23.1",
    "shiki-magic-move": "^0.5.0",
    "swr": "^2.2.5",
    "tailwind-merge": "^2.5.2",
    "tailwindcss-animate": "^1.0.7",
-    "tree-sitter": "^0.22.0",
-    "tree-sitter-typescript": "^0.23.0",
-    "use-stick-to-bottom": "^1.0.41",
-    "web-tree-sitter": "^0.24.3",
+    "tree-sitter": "^0.22.1",
+    "tree-sitter-typescript": "^0.23.2",
+    "use-stick-to-bottom": "^1.0.42",
+    "web-tree-sitter": "^0.24.4",
    "zod": "^3.23.8"
  },
  "devDependencies": {
-    "@next/env": "^15.0.2",
+    "@next/env": "^15.0.3",
    "@types/mdx": "^2.0.13",
    "@types/node": "22.9.0",
    "@types/react": "^18.3.12",
@@ -75,12 +75,12 @@
    "fast-glob": "^3.3.2",
    "gray-matter": "^4.0.3",
    "monaco-editor-webpack-plugin": "^7.1.0",
-    "postcss": "^8.4.47",
+    "postcss": "^8.4.49",
    "remark": "^15.0.1",
    "remark-gfm": "^4.0.0",
    "remark-mdx": "^3.1.0",
    "remark-stringify": "^11.0.0",
-    "tailwindcss": "^3.4.14",
+    "tailwindcss": "^3.4.15",
    "tsx": "^4.19.2",
    "typescript": "^5.6.3"
  }
@@ -1,7 +1,10 @@
+import { MockLLM } from "@llamaindex/core/utils";
 import { LlamaIndexAdapter, type Message } from "ai";
-import { SimpleChatEngine, type ChatMessage } from "llamaindex";
+import { Settings, SimpleChatEngine, type ChatMessage } from "llamaindex";
 import { NextResponse, type NextRequest } from "next/server";

+Settings.llm = new MockLLM(); // config your LLM here
+
 export async function POST(request: NextRequest) {
  try {
    const { messages } = (await request.json()) as { messages: Message[] };
@@ -1,8 +0,0 @@
-"use client";
-import { ChatSection } from "@llamaindex/chat-ui";
-import { useChat } from "ai/react";
-
-export const ChatDemo = () => {
-  const handler = useChat();
-  return <ChatSection handler={handler} />;
-};
@@ -0,0 +1,16 @@
+"use client";
+import { ChatInput, ChatMessages, ChatSection } from "@llamaindex/chat-ui";
+import { useChat } from "ai/react";
+
+export const ChatDemo = () => {
+  const handler = useChat();
+  return (
+    <ChatSection handler={handler}>
+      <ChatMessages>
+        <ChatMessages.List className="h-auto max-h-[400px]" />
+        <ChatMessages.Actions />
+      </ChatMessages>
+      <ChatInput />
+    </ChatSection>
+  );
+};
@@ -0,0 +1,57 @@
+import { Markdown } from "@llamaindex/chat-ui/widgets";
+import { MockLLM } from "@llamaindex/core/utils";
+import { generateId, Message } from "ai";
+import { createAI, createStreamableUI, getMutableAIState } from "ai/rsc";
+import { type ChatMessage, Settings, SimpleChatEngine } from "llamaindex";
+import { ReactNode } from "react";
+
+type ServerState = Message[];
+type FrontendState = Array<Message & { display: ReactNode }>;
+type Actions = {
+  chat: (message: Message) => Promise<Message & { display: ReactNode }>;
+};
+
+Settings.llm = new MockLLM(); // config your LLM here
+
+export const AI = createAI<ServerState, FrontendState, Actions>({
+  initialAIState: [],
+  initialUIState: [],
+  actions: {
+    chat: async (message: Message) => {
+      "use server";
+
+      const aiState = getMutableAIState<typeof AI>();
+      aiState.update((prev) => [...prev, message]);
+
+      const uiStream = createStreamableUI();
+      const chatEngine = new SimpleChatEngine();
+      const assistantMessage: Message = {
+        id: generateId(),
+        role: "assistant",
+        content: "",
+      };
+
+      // run the async function without blocking
+      (async () => {
+        const chatResponse = await chatEngine.chat({
+          stream: true,
+          message: message.content,
+          chatHistory: aiState.get() as ChatMessage[],
+        });
+
+        for await (const chunk of chatResponse) {
+          assistantMessage.content += chunk.delta;
+          uiStream.update(<Markdown content={assistantMessage.content} />);
+        }
+
+        aiState.done([...aiState.get(), assistantMessage]);
+        uiStream.done();
+      })();
+
+      return {
+        ...assistantMessage,
+        display: uiStream.value,
+      };
+    },
+  },
+});
@@ -0,0 +1,33 @@
+"use client";
+
+import {
+  ChatInput,
+  ChatMessage,
+  ChatMessages,
+  ChatSection as ChatSectionUI,
+} from "@llamaindex/chat-ui";
+import { useChatRSC } from "./use-chat-rsc";
+
+export const ChatSectionRSC = () => {
+  const handler = useChatRSC();
+  return (
+    <ChatSectionUI handler={handler}>
+      <ChatMessages>
+        <ChatMessages.List className="h-auto max-h-[400px]">
+          {handler.messages.map((message, index) => (
+            <ChatMessage
+              key={index}
+              message={message}
+              isLast={index === handler.messages.length - 1}
+            >
+              <ChatMessage.Avatar />
+              <ChatMessage.Content>{message.display}</ChatMessage.Content>
+            </ChatMessage>
+          ))}
+          <ChatMessages.Loading />
+        </ChatMessages.List>
+      </ChatMessages>
+      <ChatInput />
+    </ChatSectionUI>
+  );
+};
@@ -0,0 +1,8 @@
+import { AI } from "./ai-action";
+import { ChatSectionRSC } from "./chat-section";
+
+export const ChatDemoRSC = () => (
+  <AI>
+    <ChatSectionRSC />
+  </AI>
+);
@@ -0,0 +1,41 @@
+"use client";
+
+import { useActions } from "ai/rsc";
+
+import { generateId, Message } from "ai";
+import { useUIState } from "ai/rsc";
+import { useState } from "react";
+import { AI } from "./ai-action";
+
+export function useChatRSC() {
+  const [input, setInput] = useState<string>("");
+  const [isLoading, setIsLoading] = useState<boolean>(false);
+  const [messages, setMessages] = useUIState<typeof AI>();
+  const { chat } = useActions<typeof AI>();
+
+  const append = async (message: Omit<Message, "id">) => {
+    const newMsg: Message = { ...message, id: generateId() };
+
+    setIsLoading(true);
+    try {
+      setMessages((prev) => [...prev, { ...newMsg, display: message.content }]);
+      const assistantMsg = await chat(newMsg);
+      setMessages((prev) => [...prev, assistantMsg]);
+    } catch (error) {
+      console.error(error);
+    }
+    setIsLoading(false);
+    setInput("");
+
+    return message.content;
+  };
+
+  return {
+    input,
+    setInput,
+    isLoading,
+    messages,
+    setMessages,
+    append,
+  };
+}
@@ -85,6 +85,33 @@ const Footer = () => {
                  <Text as="span">SharePoint</Text>
                </a>
              </li>
+              <li>
+                <a
+                  href="https://llamaindex.ai/llamacloud-aws-s3-data-loading-for-generative-ai"
+                  data-tracking-variant="link"
+                  data-tracking-section="footer"
+                >
+                  <Text as="span">AWS S3</Text>
+                </a>
+              </li>
+              <li>
+                <a
+                  href="https://llamaindex.ai/llamacloud-azure-blob-storage-data-loading-for-generative-ai"
+                  data-tracking-variant="link"
+                  data-tracking-section="footer"
+                >
+                  <Text as="span">Azure Blob Storage</Text>
+                </a>
+              </li>
+              <li>
+                <a
+                  href="https://llamaindex.ai/llamacloud-google-drive-data-loading-for-generative-ai"
+                  data-tracking-variant="link"
+                  data-tracking-section="footer"
+                >
+                  <Text as="span">Google Drive</Text>
+                </a>
+              </li>
            </ul>
          </div>
          <div>
@@ -171,11 +198,6 @@ const Footer = () => {
                  <Text as="span">SEC Insights</Text>
                </a>
              </li>
-              <li>
-                <a href="https://chat.llamaindex.ai/">
-                  <Text as="span">Chat LlamaIndex</Text>
-                </a>
-              </li>
              <li>
                <a href="https://github.com/run-llama/llamabot">
                  <Text as="span">LlamaBot</Text>
@@ -1,8 +1,8 @@
 ---
-title: Chat-UI 
-description: Use chat-ui to add a chat interface to your LlamaIndexTS application.
+title: Using API Route
+description: Chat interface for your LlamaIndexTS application using API Route
 ---
-import { ChatDemo } from '../../../../components/demo/chat';
+import { ChatDemo } from '../../../../../components/demo/chat/api/demo';
 import "@llamaindex/chat-ui/styles/code.css";
 import "@llamaindex/chat-ui/styles/katex.css";

@@ -26,7 +26,7 @@ This is the simplest way to add a chat interface to your application. Copy the f

 ```json doc-gen:file
 {
-  "file": "./src/components/demo/chat.tsx",
+  "file": "./src/components/demo/chat/api/demo.tsx",
 	"codeblock": true
 }
 ```
@@ -37,6 +37,7 @@ Combining both, you're getting a fully functional chat interface:

 <ChatDemo />

+
 ## Next Steps

 The steps above are the bare minimum to get a chat interface working. From here, you can go two ways:
@@ -0,0 +1,6 @@
+{
+  "title": "Chat-UI",
+  "description": "Use chat-ui to add a chat interface to your LlamaIndexTS application.",
+  "defaultOpen": false,
+  "pages": ["chat", "rsc"]
+}
@@ -0,0 +1,68 @@
+---
+title: Using Next.js RSC
+description: Chat interface for your LlamaIndexTS application using Next.js RSC
+---
+import { ChatDemoRSC } from '../../../../../components/demo/chat/rsc/demo';
+import "@llamaindex/chat-ui/styles/code.css";
+import "@llamaindex/chat-ui/styles/katex.css";
+
+Using [chat-ui](https://github.com/run-llama/chat-ui), it's easy to add a chat interface to your LlamaIndexTS application using [Next.js RSC](https://nextjs.org/docs/app/building-your-application/rendering/server-components) and [Vercel AI RSC](https://sdk.vercel.ai/docs/ai-sdk-rsc/overview).
+
+With RSC, the chat messages are not returned as JSON from the server (like when using an [API route](./chat)), instead the chat message components are rendered on the server side.
+This is for example useful for rendering a whole chat history on the server before sending it to the client. [Check here](https://sdk.vercel.ai/docs/getting-started/navigating-the-library#when-to-use-ai-sdk-rsc), for a discussion of when to use use RSC.
+
+For implementing a chat interface with RSC, you need to create an AI action and then connect the chat interface to use it.
+
+## Create an AI action
+
+First, define an [AI context provider](https://sdk.vercel.ai/examples/rsc/state-management/ai-ui-states) with a chat server action:
+
+```json doc-gen:file
+{
+  "file": "./src/components/demo/chat/rsc/ai-action.tsx",
+	"codeblock": true
+}
+```
+
+The chat server action is using LlamaIndexTS to generate a response based on the chat history and the user input.
+
+## Create the chat UI
+
+The entrypoint of our application initializes the AI provider for the application and adds a `ChatSection` component:
+
+```json doc-gen:file
+{
+  "file": "./src/components/demo/chat/rsc/demo.tsx",
+	"codeblock": true
+}
+```
+
+The `ChatSection` component is created by using chat components from @llamaindex/chat-ui:
+
+```json doc-gen:file
+{
+  "file": "./src/components/demo/chat/rsc/chat-section.tsx",
+	"codeblock": true
+}
+```
+
+It is using a `useChatRSC` hook to conntect the chat interface to the `chat` AI action that we defined earlier:
+
+```json doc-gen:file
+{
+  "file": "./src/components/demo/chat/rsc/use-chat-rsc.tsx",
+	"codeblock": true
+}
+```
+
+## Try RSC Chat ⬇️
+
+<ChatDemoRSC />
+
+## Next Steps
+
+The steps above are the bare minimum to get a chat interface working with RSC. From here, you can go two ways:
+
+1. Use our [full-stack RSC example](https://github.com/run-llama/nextjs-rsc) based on [create-llama](https://github.com/run-llama/create-llama) to get started quickly with a fully working chat interface or
+2. Learn more about [AI RSC](https://sdk.vercel.ai/examples/rsc), [chat-ui](https://github.com/run-llama/chat-ui) and [LlamaIndexTS](https://github.com/run-llama/llamaindex-ts) to customize the chat interface and AI actions to your needs.
+
@@ -1,5 +1,5 @@
 {
  "title": "Integration",
  "description": "See our integrations",
-  "pages": ["open-llm-metry", "lang-trace"]
+  "pages": ["open-llm-metry", "lang-trace", "vercel"]
 }
@@ -0,0 +1,80 @@
+---
+title: Vercel
+description: Integrate LlamaIndex with Vercel's AI SDK
+---
+
+LlamaIndex provides integration with Vercel's AI SDK, allowing you to create powerful search and retrieval applications. Below are examples of how to use LlamaIndex with `streamText` from the Vercel AI SDK.
+
+## Setup
+
+First, install the required dependencies:
+
+```bash
+npm install @llamaindex/vercel ai
+```
+
+## Using Local Vector Store
+
+Here's how to create a simple vector store index and query it using Vercel's AI SDK:
+
+```typescript
+import { openai } from "@ai-sdk/openai";
+import { llamaindex } from "@llamaindex/vercel";
+import { streamText } from "ai";
+import { Document, VectorStoreIndex } from "llamaindex";
+
+// Create an index from your documents
+const document = new Document({ text: yourText, id_: "unique-id" });
+const index = await VectorStoreIndex.fromDocuments([document]);
+
+// Create a query tool
+const queryTool = llamaindex({
+  index,
+  description: "Search through the documents", // optional
+});
+
+// Use the tool with Vercel's AI SDK
+streamText({
+  tools: { queryTool },
+  prompt: "Your question here",
+  model: openai("gpt-4"),
+  onFinish({ response }) {
+    console.log("Response:", response.messages); // log the response
+  },
+}).toDataStream();
+```
+
+## Using LlamaCloud
+
+For production deployments, you can use LlamaCloud to store and manage your documents:
+
+```typescript
+import { LlamaCloudIndex } from "llamaindex";
+
+// Create a LlamaCloud index
+const index = await LlamaCloudIndex.fromDocuments({
+  documents: [document],
+  name: "your-index-name",
+  projectName: "your-project",
+  apiKey: process.env.LLAMA_CLOUD_API_KEY,
+});
+
+// Use it the same way as VectorStoreIndex
+const queryTool = llamaindex({
+  index,
+  description: "Search through the documents",
+});
+
+// Use the tool with Vercel's AI SDK
+streamText({
+  tools: { queryTool },
+  prompt: "Your question here",
+  model: openai("gpt-4"),
+}).toDataStream();
+```
+
+## Next Steps
+
+1. Explore [LlamaCloud](https://cloud.llamaindex.ai/) for managed document storage and retrieval
+2. Join our [Discord community](https://discord.gg/llamaindex) for support and discussions
+
@@ -37,6 +37,33 @@ Then, you need create `.dev.vars` and add LLM api keys for the local development

 <Callout type="warn">Do not commit the api key to git repository.</Callout>

+## Integrating with Hono
+
+```ts
+import { Hono } from "hono";
+
+type Bindings = {
+  OPENAI_API_KEY: string;
+};
+
+const app = new Hono<{
+  Bindings: Bindings;
+}>();
+
+app.post("/llm", async (c) => {
+  const { setEnvs } = await import("@llamaindex/env");
+  setEnvs(c.env);
+
+  // ...
+
+  return new Response('Hello, world!');
+})
+
+export default {
+  fetch: app.fetch,
+};
+```
+
 ## Difference between Node.js and Cloudflare Worker

 In Cloudflare Worker and similar serverless JS environment, you need to be aware of the following differences:
@@ -46,3 +73,7 @@ In Cloudflare Worker and similar serverless JS environment, you need to be aware
 - Some of LlamaIndex.TS modules are not available in Cloudflare Worker, for example `SimpleDirectoryReader` (requires `node:fs`), Some multimodal API that relies on [`onnxruntime-node`](https://www.npmjs.com/package/onnxruntime-node)(we might port to HTTP based module in the future).
 - `@llamaindex/core` is designed to work in all JavaScript environment, including Cloudflare Worker. If you find any issue, please report to us.
 - `@llamaindex/env` is a JS environment binding module, which polyfill some Node.js/Modern Web API (for example, we have a memory based `fs` module, and Crypto API polyfill). It is designed to work in all JavaScript environment, including Cloudflare Worker.
+
+## Known issues
+
+- `llamaindex` not work perfectly in Cloudflare Worker, bundle size will be larger than 1MB, which is the limit of Cloudflare Worker. You will need import submodule instead of the whole `llamaindex` module.
@@ -1,6 +1,14 @@
 {
  "extends": ["//"],
  "tasks": {
+    "build": {
+      "outputs": [
+        ".next",
+        ".source",
+        "next-env.d.ts",
+        "src/content/docs/cloud/api/**"
+      ]
+    },
    "dev": {
      "dependsOn": ["^build"]
    }
@@ -1 +1,4 @@
 POSTGRES_USER=runner
+PINECONE_API_KEY=
+PINECONE_INDEX_NAME=
+PINECONE_NAMESPACE=
@@ -0,0 +1,172 @@
+# Logs
+
+logs
+_.log
+npm-debug.log_
+yarn-debug.log*
+yarn-error.log*
+lerna-debug.log*
+.pnpm-debug.log*
+
+# Diagnostic reports (https://nodejs.org/api/report.html)
+
+report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
+
+# Runtime data
+
+pids
+_.pid
+_.seed
+\*.pid.lock
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+
+lib-cov
+
+# Coverage directory used by tools like istanbul
+
+coverage
+\*.lcov
+
+# nyc test coverage
+
+.nyc_output
+
+# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
+
+.grunt
+
+# Bower dependency directory (https://bower.io/)
+
+bower_components
+
+# node-waf configuration
+
+.lock-wscript
+
+# Compiled binary addons (https://nodejs.org/api/addons.html)
+
+build/Release
+
+# Dependency directories
+
+node_modules/
+jspm_packages/
+
+# Snowpack dependency directory (https://snowpack.dev/)
+
+web_modules/
+
+# TypeScript cache
+
+\*.tsbuildinfo
+
+# Optional npm cache directory
+
+.npm
+
+# Optional eslint cache
+
+.eslintcache
+
+# Optional stylelint cache
+
+.stylelintcache
+
+# Microbundle cache
+
+.rpt2_cache/
+.rts2_cache_cjs/
+.rts2_cache_es/
+.rts2_cache_umd/
+
+# Optional REPL history
+
+.node_repl_history
+
+# Output of 'npm pack'
+
+\*.tgz
+
+# Yarn Integrity file
+
+.yarn-integrity
+
+# dotenv environment variable files
+
+.env
+.env.development.local
+.env.test.local
+.env.production.local
+.env.local
+
+# parcel-bundler cache (https://parceljs.org/)
+
+.cache
+.parcel-cache
+
+# Next.js build output
+
+.next
+out
+
+# Nuxt.js build / generate output
+
+.nuxt
+dist
+
+# Gatsby files
+
+.cache/
+
+# Comment in the public line in if your project uses Gatsby and not Next.js
+
+# https://nextjs.org/blog/next-9-1#public-directory-support
+
+# public
+
+# vuepress build output
+
+.vuepress/dist
+
+# vuepress v2.x temp and cache directory
+
+.temp
+.cache
+
+# Docusaurus cache and generated files
+
+.docusaurus
+
+# Serverless directories
+
+.serverless/
+
+# FuseBox cache
+
+.fusebox/
+
+# DynamoDB Local files
+
+.dynamodb/
+
+# TernJS port file
+
+.tern-port
+
+# Stores VSCode versions used for testing VSCode extensions
+
+.vscode-test
+
+# yarn v2
+
+.yarn/cache
+.yarn/unplugged
+.yarn/build-state.yml
+.yarn/install-state.gz
+.pnp.\*
+
+# wrangler project
+
+.dev.vars
+.wrangler/
@@ -0,0 +1,20 @@
+{
+  "name": "@llamaindex/cloudflare-hono",
+  "version": "0.0.0",
+  "private": true,
+  "scripts": {
+    "deploy": "wrangler deploy",
+    "build": "wrangler deploy --dry-run --outdir dist",
+    "dev": "wrangler dev",
+    "start": "wrangler dev",
+    "cf-typegen": "wrangler types"
+  },
+  "devDependencies": {
+    "@cloudflare/workers-types": "^4.20241112.0",
+    "typescript": "^5.5.2",
+    "wrangler": "^3.89.0"
+  },
+  "dependencies": {
+    "hono": "^4.6.11"
+  }
+}
@@ -0,0 +1,91 @@
+import { Hono } from "hono";
+
+type Bindings = {
+  OPENAI_API_KEY: string;
+  PINECONE_API_KEY: string;
+};
+
+const app = new Hono<{
+  Bindings: Bindings;
+}>();
+
+app.post("/llm", async (c) => {
+  //#region init envs
+  const { setEnvs } = await import("@llamaindex/env");
+  setEnvs(c.env);
+  //#endregion
+
+  const { message } = await c.req.json();
+
+  const { extractText } = await import("@llamaindex/core/utils");
+
+  const {
+    QueryEngineTool,
+    serviceContextFromDefaults,
+    VectorStoreIndex,
+    OpenAIAgent,
+    Settings,
+    OpenAI,
+    OpenAIEmbedding,
+  } = await import("llamaindex");
+
+  const { PineconeVectorStore } = await import(
+    "llamaindex/vector-store/PineconeVectorStore"
+  );
+
+  const llm = new OpenAI({
+    model: "gpt-4o-mini",
+    apiKey: c.env.OPENAI_API_KEY,
+  });
+
+  Settings.embedModel = new OpenAIEmbedding({
+    model: "text-embedding-3-small",
+    apiKey: c.env.OPENAI_API_KEY,
+  });
+
+  const serviceContext = serviceContextFromDefaults({
+    llm,
+    chunkSize: 8191,
+    chunkOverlap: 0,
+  });
+
+  const store = new PineconeVectorStore({
+    namespace: "8xolsn4ulEQGdhnhP76yCzfLHdOZ",
+  });
+
+  const index = await VectorStoreIndex.fromVectorStore(store, serviceContext);
+
+  const retriever = index.asRetriever({
+    similarityTopK: 3,
+  });
+
+  // Create a query engine
+  const queryEngine = index.asQueryEngine({
+    retriever,
+  });
+
+  const tools = [
+    new QueryEngineTool({
+      queryEngine: queryEngine,
+      metadata: {
+        name: "business_info_tool",
+        description:
+          "This tool can answer questions based " +
+          "on business information. Return not found if you" +
+          " can't find the answer in the documents.",
+      },
+    }),
+  ];
+
+  const agent = new OpenAIAgent({ tools });
+
+  const response = await agent.chat({
+    message: message,
+  });
+
+  return new Response(extractText(response.message.content));
+});
+
+export default {
+  fetch: app.fetch,
+};
@@ -0,0 +1,39 @@
+{
+  "extends": "../../tsconfig.json",
+  "compilerOptions": {
+    /* Visit https://aka.ms/tsconfig.json to read more about this file */
+
+    /* Set the JavaScript language version for emitted JavaScript and include compatible library declarations. */
+    "target": "es2021",
+    /* Specify a set of bundled library declaration files that describe the target runtime environment. */
+    "lib": ["es2021", "DOM.AsyncIterable"],
+    /* Specify what JSX code is generated. */
+    "jsx": "react-jsx",
+    /* Specify what module code is generated. */
+    "module": "es2022",
+    /* Specify how TypeScript looks up a file from a given module specifier. */
+    "moduleResolution": "Bundler",
+    /* Specify type package names to be included without being referenced in a source file. */
+    "types": ["@cloudflare/workers-types/2023-07-01"],
+    /* Enable importing .json files */
+    "resolveJsonModule": true,
+    /* Allow JavaScript files to be a part of your program. Use the `checkJS` option to get errors from these files. */
+    "allowJs": true,
+    /* Enable error reporting in type-checked JavaScript files. */
+    "checkJs": false,
+    /* Disable emitting files from a compilation. */
+    "noEmit": true,
+    /* Ensure that each file can be safely transpiled without relying on other imports. */
+    "isolatedModules": true,
+    /* Allow 'import x from y' when a module doesn't have a default export. */
+    "allowSyntheticDefaultImports": true,
+    /* Ensure that casing is correct in imports. */
+    "forceConsistentCasingInFileNames": true,
+    /* Enable all strict type-checking options. */
+    "strict": true,
+    /* Skip type checking all .d.ts files. */
+    "skipLibCheck": true
+  },
+  "exclude": ["test"],
+  "include": ["vitest.config.mts", "worker-configuration.d.ts", "src/**/*.ts"]
+}
@@ -0,0 +1,4 @@
+// Generated by Wrangler by running `wrangler types`
+
+// eslint-disable-next-line @typescript-eslint/no-empty-object-type
+interface Env {}
@@ -0,0 +1,7 @@
+name = "llamaindex-cloudflare-hono-example"
+main = "src/index.ts"
+compatibility_date = "2024-11-12"
+compatibility_flags = ["nodejs_als"]
+
+[observability]
+enabled = true
@@ -1,5 +1,114 @@
 # @llamaindex/cloudflare-worker-agent-test

+## 0.0.120
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 0.0.119
+
+### Patch Changes
+
+- llamaindex@0.8.23
+
+## 0.0.118
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+
+## 0.0.117
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 0.0.116
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 0.0.115
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - llamaindex@0.8.19
+
+## 0.0.114
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+
+## 0.0.113
+
+### Patch Changes
+
+- llamaindex@0.8.17
+
+## 0.0.112
+
+### Patch Changes
+
+- llamaindex@0.8.16
+
+## 0.0.111
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 0.0.110
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 0.0.109
+
+### Patch Changes
+
+- llamaindex@0.8.13
+
+## 0.0.108
+
+### Patch Changes
+
+- llamaindex@0.8.12
+
+## 0.0.107
+
+### Patch Changes
+
+- llamaindex@0.8.11
+
+## 0.0.106
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+
+## 0.0.105
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+
 ## 0.0.104

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/cloudflare-worker-agent-test",
-  "version": "0.0.104",
+  "version": "0.0.120",
  "type": "module",
  "private": true,
  "scripts": {
@@ -12,13 +12,13 @@
    "cf-typegen": "wrangler types"
  },
  "devDependencies": {
-    "@cloudflare/vitest-pool-workers": "^0.5.8",
-    "@cloudflare/workers-types": "^4.20240924.0",
-    "@vitest/runner": "2.1.4",
-    "@vitest/snapshot": "2.1.4",
+    "@cloudflare/vitest-pool-workers": "^0.5.28",
+    "@cloudflare/workers-types": "^4.20241112.0",
+    "@vitest/runner": "2.1.5",
+    "@vitest/snapshot": "2.1.5",
    "typescript": "^5.6.3",
-    "vitest": "2.1.4",
-    "wrangler": "^3.78.8"
+    "vitest": "2.1.5",
+    "wrangler": "^3.87.0"
  },
  "dependencies": {
    "llamaindex": "workspace:*"
@@ -1,5 +1,66 @@
 # @llamaindex/llama-parse-browser-test

+## 0.0.35
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.15
+
+## 0.0.34
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.14
+
+## 0.0.33
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - @llamaindex/cloud@2.0.13
+
+## 0.0.32
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.12
+
+## 0.0.31
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.11
+
+## 0.0.30
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.10
+
+## 0.0.29
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.9
+
+## 0.0.28
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.8
+
+## 0.0.27
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.7
+
+## 0.0.26
+
+### Patch Changes
+
+- @llamaindex/cloud@2.0.6
+
 ## 0.0.25

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/llama-parse-browser-test",
  "private": true,
-  "version": "0.0.25",
+  "version": "0.0.35",
  "type": "module",
  "scripts": {
    "dev": "vite",
@@ -10,7 +10,7 @@
  },
  "devDependencies": {
    "typescript": "^5.6.3",
-    "vite": "^5.4.1",
+    "vite": "^5.4.11",
    "vite-plugin-wasm": "^3.3.0"
  },
  "dependencies": {
@@ -1,5 +1,114 @@
 # @llamaindex/next-agent-test

+## 0.1.120
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 0.1.119
+
+### Patch Changes
+
+- llamaindex@0.8.23
+
+## 0.1.118
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+
+## 0.1.117
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 0.1.116
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 0.1.115
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - llamaindex@0.8.19
+
+## 0.1.114
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+
+## 0.1.113
+
+### Patch Changes
+
+- llamaindex@0.8.17
+
+## 0.1.112
+
+### Patch Changes
+
+- llamaindex@0.8.16
+
+## 0.1.111
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 0.1.110
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 0.1.109
+
+### Patch Changes
+
+- llamaindex@0.8.13
+
+## 0.1.108
+
+### Patch Changes
+
+- llamaindex@0.8.12
+
+## 0.1.107
+
+### Patch Changes
+
+- llamaindex@0.8.11
+
+## 0.1.106
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+
+## 0.1.105
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+
 ## 0.1.104

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/next-agent-test",
-  "version": "0.1.104",
+  "version": "0.1.120",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -8,9 +8,9 @@
    "start": "next start"
  },
  "dependencies": {
-    "ai": "^3.3.21",
+    "ai": "^4.0.0",
    "llamaindex": "workspace:*",
-    "next": "15.0.2",
+    "next": "15.0.3",
    "react": "18.3.1",
    "react-dom": "18.3.1"
  },
@@ -18,10 +18,10 @@
    "@types/node": "^22.9.0",
    "@types/react": "^18.3.12",
    "@types/react-dom": "^18.3.1",
-    "eslint": "9.14.0",
-    "eslint-config-next": "15.0.2",
-    "postcss": "^8.4.41",
-    "tailwindcss": "^3.4.10",
+    "eslint": "9.15.0",
+    "eslint-config-next": "15.0.3",
+    "postcss": "^8.4.49",
+    "tailwindcss": "^3.4.15",
    "typescript": "^5.6.3"
  }
 }
@@ -1,5 +1,114 @@
 # test-edge-runtime

+## 0.1.119
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 0.1.118
+
+### Patch Changes
+
+- llamaindex@0.8.23
+
+## 0.1.117
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+
+## 0.1.116
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 0.1.115
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 0.1.114
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - llamaindex@0.8.19
+
+## 0.1.113
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+
+## 0.1.112
+
+### Patch Changes
+
+- llamaindex@0.8.17
+
+## 0.1.111
+
+### Patch Changes
+
+- llamaindex@0.8.16
+
+## 0.1.110
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 0.1.109
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 0.1.108
+
+### Patch Changes
+
+- llamaindex@0.8.13
+
+## 0.1.107
+
+### Patch Changes
+
+- llamaindex@0.8.12
+
+## 0.1.106
+
+### Patch Changes
+
+- llamaindex@0.8.11
+
+## 0.1.105
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+
+## 0.1.104
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+
 ## 0.1.103

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/nextjs-edge-runtime-test",
-  "version": "0.1.103",
+  "version": "0.1.119",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -9,7 +9,7 @@
  },
  "dependencies": {
    "llamaindex": "workspace:*",
-    "next": "15.0.2",
+    "next": "15.0.3",
    "react": "^18.3.1",
    "react-dom": "^18.3.1"
  },
@@ -1,5 +1,114 @@
 # @llamaindex/next-node-runtime

+## 0.0.101
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 0.0.100
+
+### Patch Changes
+
+- llamaindex@0.8.23
+
+## 0.0.99
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+
+## 0.0.98
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 0.0.97
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 0.0.96
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - llamaindex@0.8.19
+
+## 0.0.95
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+
+## 0.0.94
+
+### Patch Changes
+
+- llamaindex@0.8.17
+
+## 0.0.93
+
+### Patch Changes
+
+- llamaindex@0.8.16
+
+## 0.0.92
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 0.0.91
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 0.0.90
+
+### Patch Changes
+
+- llamaindex@0.8.13
+
+## 0.0.89
+
+### Patch Changes
+
+- llamaindex@0.8.12
+
+## 0.0.88
+
+### Patch Changes
+
+- llamaindex@0.8.11
+
+## 0.0.87
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+
+## 0.0.86
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+
 ## 0.0.85

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/next-node-runtime-test",
-  "version": "0.0.85",
+  "version": "0.0.101",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -9,7 +9,7 @@
  },
  "dependencies": {
    "llamaindex": "workspace:*",
-    "next": "15.0.2",
+    "next": "15.0.3",
    "react": "18.3.1",
    "react-dom": "18.3.1"
  },
@@ -17,10 +17,10 @@
    "@types/node": "^22.9.0",
    "@types/react": "^18.3.12",
    "@types/react-dom": "^18.3.1",
-    "eslint": "9.14.0",
-    "eslint-config-next": "15.0.2",
-    "postcss": "^8.4.41",
-    "tailwindcss": "^3.4.10",
+    "eslint": "9.15.0",
+    "eslint-config-next": "15.0.3",
+    "postcss": "^8.4.49",
+    "tailwindcss": "^3.4.15",
    "typescript": "^5.6.3"
  }
 }
@@ -15,7 +15,6 @@ Settings.llm = new OpenAI({
 });
 Settings.embedModel = new HuggingFaceEmbedding({
  modelType: "BAAI/bge-small-en-v1.5",
-  quantized: false,
 });
 Settings.callbackManager.on("llm-tool-call", (event) => {
  console.log(event.detail);
@@ -1,5 +1,114 @@
 # @llamaindex/waku-query-engine-test

+## 0.0.120
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 0.0.119
+
+### Patch Changes
+
+- llamaindex@0.8.23
+
+## 0.0.118
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+
+## 0.0.117
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 0.0.116
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 0.0.115
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - llamaindex@0.8.19
+
+## 0.0.114
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+
+## 0.0.113
+
+### Patch Changes
+
+- llamaindex@0.8.17
+
+## 0.0.112
+
+### Patch Changes
+
+- llamaindex@0.8.16
+
+## 0.0.111
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 0.0.110
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 0.0.109
+
+### Patch Changes
+
+- llamaindex@0.8.13
+
+## 0.0.108
+
+### Patch Changes
+
+- llamaindex@0.8.12
+
+## 0.0.107
+
+### Patch Changes
+
+- llamaindex@0.8.11
+
+## 0.0.106
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+
+## 0.0.105
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+
 ## 0.0.104

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/waku-query-engine-test",
-  "version": "0.0.104",
+  "version": "0.0.120",
  "type": "module",
  "private": true,
  "scripts": {
@@ -10,16 +10,16 @@
  },
  "dependencies": {
    "llamaindex": "workspace:*",
-    "react": "19.0.0-rc-bf7e210c-20241017",
-    "react-dom": "19.0.0-rc-bf7e210c-20241017",
-    "react-server-dom-webpack": "19.0.0-rc-bf7e210c-20241017",
-    "waku": "0.21.4"
+    "react": "19.0.0-rc-5c56b873-20241107",
+    "react-dom": "19.0.0-rc-5c56b873-20241107",
+    "react-server-dom-webpack": "19.0.0-rc-5c56b873-20241107",
+    "waku": "0.21.6"
  },
  "devDependencies": {
    "@types/react": "18.3.12",
    "@types/react-dom": "18.3.1",
    "autoprefixer": "^10.4.20",
-    "tailwindcss": "^3.4.14",
+    "tailwindcss": "^3.4.15",
    "typescript": "5.6.3"
  }
 }
@@ -0,0 +1,3 @@
+import { OpenAI } from "./openai.js";
+
+export class Ollama extends OpenAI {}
@@ -15,7 +15,17 @@ export async function resolve(specifier, context, nextResolve) {
  const targetUrl = fileURLToPath(result.url).replace(/\.js$/, ".ts");
  let relativePath = relative(packageDistDir, targetUrl);
  // todo: make it more generic if we have more sub modules fixtures in the future
-  if (relativePath.startsWith("../../llm/openai")) {
+  if (relativePath.startsWith("../../llm/anthropic")) {
+    relativePath = relativePath.replace(
+      "../../llm/ollama/dist/index.ts",
+      "llm/anthropic.ts",
+    );
+  } else if (relativePath.startsWith("../../llm/ollama")) {
+    relativePath = relativePath.replace(
+      "../../llm/ollama/dist/index.ts",
+      "llm/ollama.ts",
+    );
+  } else if (relativePath.startsWith("../../llm/openai")) {
    relativePath = relativePath.replace(
      "../../llm/openai/dist/index.ts",
      "llm/openai.ts",
@@ -64,7 +64,7 @@ await test("clip embedding", async (t) => {
  });

  await t.test("custom transformer", async () => {
-    const transformers = await import("@xenova/transformers");
+    const transformers = await import("@huggingface/transformers");
    const getter = test.mock.fn((t, k, r) => {
      return Reflect.get(t, k, r);
    });
@@ -0,0 +1,35 @@
+import { Ollama } from "@llamaindex/ollama";
+import assert from "node:assert";
+import { test } from "node:test";
+import { getWeatherTool } from "./fixtures/tools.js";
+import { mockLLMEvent } from "./utils.js";
+
+await test("ollama", async (t) => {
+  await mockLLMEvent(t, "ollama");
+  await t.test("ollama function call", async (t) => {
+    const llm = new Ollama({
+      model: "llama3.2",
+    });
+    const chatResponse = await llm.chat({
+      messages: [
+        {
+          role: "user",
+          content: "What is the weather in Paris?",
+        },
+      ],
+      tools: [getWeatherTool],
+    });
+    if (
+      chatResponse.message.options &&
+      "toolCall" in chatResponse.message.options
+    ) {
+      assert.equal(chatResponse.message.options.toolCall.length, 1);
+      assert.equal(
+        chatResponse.message.options.toolCall[0]!.name,
+        getWeatherTool.metadata.name,
+      );
+    } else {
+      throw new Error("Expected tool calls in response");
+    }
+  });
+});
@@ -167,6 +167,7 @@ For questions about more specific sections, please use the vector_tool.`,
  const mockCall = t.mock.fn(({ query }: { query: string }) => {
    return originalCall({ query });
  });
+  // @ts-expect-error what?
  queryEngineTools[1]!.call = mockCall;

  const toolMapping = SimpleToolNodeMapping.fromObjects(queryEngineTools);
@@ -0,0 +1,37 @@
+{
+  "llmEventStart": [
+    {
+      "id": "PRESERVE_0",
+      "messages": [
+        {
+          "role": "user",
+          "content": "What is the weather in Paris?"
+        }
+      ]
+    }
+  ],
+  "llmEventEnd": [
+    {
+      "id": "PRESERVE_0",
+      "response": {
+        "message": {
+          "role": "assistant",
+          "content": "",
+          "options": {
+            "toolCall": [
+              {
+                "name": "getWeather",
+                "input": {
+                  "city": "Paris"
+                },
+                "id": "5d198775-5268-4552-993b-9ecb4425385b"
+              }
+            ]
+          }
+        },
+        "raw": null
+      }
+    }
+  ],
+  "llmEventStream": []
+}
@@ -0,0 +1,66 @@
+import { Document, MetadataMode } from "@llamaindex/core/schema";
+import { config } from "dotenv";
+import {
+  OpenAIEmbedding,
+  PineconeVectorStore,
+  VectorStoreIndex,
+} from "llamaindex";
+import assert from "node:assert";
+import { test } from "node:test";
+
+config({ path: [".env.local", ".env", ".env.ci"] });
+
+await test("pinecone", async (t) => {
+  if (
+    !process.env.PINECONE_API_KEY ||
+    !process.env.PINECONE_NAMESPACE ||
+    !process.env.PINECONE_INDEX_NAME
+  ) {
+    return t.skip(
+      "PINECONE_API_KEY, PINECONE_NAMESPACE, and PINECONE_INDEX_NAME must be set to run this test",
+    );
+  }
+  const openaiEmbedding = new OpenAIEmbedding({
+    model: "text-embedding-3-large",
+  });
+
+  const vectorStore = new PineconeVectorStore({
+    embeddingModel: openaiEmbedding,
+  });
+
+  t.after(async () => {
+    await vectorStore.clearIndex();
+  });
+
+  const index = await VectorStoreIndex.fromVectorStore(vectorStore);
+
+  const retriever = index.asRetriever({
+    similarityTopK: 3,
+  });
+  const text = "We are open from 9am to 5pm";
+
+  await vectorStore.add([
+    new Document({
+      text,
+      embedding: await openaiEmbedding.getTextEmbedding(text),
+    }),
+  ]);
+
+  const results = await retriever.retrieve({
+    query: "When are you open?",
+  });
+  results.every((result) => {
+    assert.ok(result.node.embedding instanceof Array);
+    result.node.embedding.every((embedding, idx) =>
+      assert.ok(
+        typeof embedding === "number",
+        `Embedding at index ${idx} should be a number`,
+      ),
+    );
+    assert.ok(typeof result.score === "number", "Score should be a number");
+    assert.ok(
+      result.node.getContent(MetadataMode.NONE).length > 0,
+      "Content should not be empty",
+    );
+  });
+});
@@ -12,10 +12,11 @@
    "@faker-js/faker": "^9.2.0",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/env": "workspace:*",
+    "@llamaindex/ollama": "workspace:*",
    "@llamaindex/openai": "workspace:*",
    "@types/node": "^22.9.0",
    "@types/pg": "^8.11.8",
-    "@xenova/transformers": "^2.17.2",
+    "@huggingface/transformers": "^3.0.2",
    "consola": "^3.2.3",
    "dotenv": "^16.4.5",
    "llamaindex": "workspace:*",
@@ -1,5 +1,46 @@
 # examples

+## 0.0.17
+
+### Patch Changes
+
+- fd38a25: Add vercel tool adapter to use query engine tool
+- Updated dependencies [fd38a25]
+  - @llamaindex/vercel@0.0.2
+
+## 0.0.16
+
+### Patch Changes
+
+- Updated dependencies [a7b0ac3]
+- Updated dependencies [ee20c44]
+- Updated dependencies [c69605f]
+  - @llamaindex/core@0.4.10
+  - @llamaindex/workflow@0.0.6
+  - llamaindex@0.8.13
+  - @llamaindex/readers@1.0.11
+
+## 0.0.15
+
+### Patch Changes
+
+- Updated dependencies [ea92b69]
+- Updated dependencies [fadc8b8]
+  - @llamaindex/workflow@0.0.5
+
+## 0.0.14
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+- Updated dependencies [d89ebe0]
+- Updated dependencies [fd8c882]
+- Updated dependencies [fd8c882]
+  - llamaindex@0.8.10
+  - @llamaindex/core@0.4.7
+  - @llamaindex/workflow@0.0.4
+  - @llamaindex/readers@1.0.8
+
 ## 0.0.13

 ### Patch Changes
@@ -0,0 +1,38 @@
+import { Anthropic } from "llamaindex";
+
+async function main() {
+  const anthropic = new Anthropic({
+    model: "claude-3-5-sonnet-20241022",
+  });
+
+  const entireBook = await fetch(
+    "https://www.gutenberg.org/files/1342/1342-0.txt",
+  ).then((response) => response.text());
+
+  const response = await anthropic.chat({
+    messages: [
+      {
+        content:
+          "You are an AI assistant tasked with analyzing literary works. Your goal is to provide insightful commentary on themes, characters, and writing style.\n",
+        role: "system",
+      },
+      {
+        content: entireBook,
+        role: "system",
+        options: {
+          cache_control: {
+            type: "ephemeral",
+          },
+        },
+      },
+      {
+        content: "analyze the major themes in Pride and Prejudice.",
+        role: "user",
+      },
+    ],
+  });
+
+  console.log(response.message.content);
+}
+
+main().catch(console.error);
@@ -83,14 +83,6 @@ async function query() {
    });
  }

-  // configure the Azure CosmosDB NoSQL Vector Store
-  const dbConfig: AzureCosmosDBNoSQLConfig = {
-    client: cosmosClient,
-    databaseName,
-    containerName,
-    flatMetadata: false,
-  };
-
  // use Azure CosmosDB as a vectorStore, docStore, and indexStore
  const { vectorStore, docStore, indexStore } = await initializeStores();

@@ -1,24 +1,27 @@
 {
  "name": "@llamaindex/examples",
  "private": true,
-  "version": "0.0.13",
+  "version": "0.0.17",
  "dependencies": {
+    "@ai-sdk/openai": "^1.0.5",
    "@aws-crypto/sha256-js": "^5.2.0",
    "@azure/cosmos": "^4.1.1",
    "@azure/identity": "^4.4.1",
    "@datastax/astra-db-ts": "^1.4.1",
-    "@llamaindex/core": "^0.4.5",
-    "@llamaindex/readers": "^1.0.6",
-    "@llamaindex/workflow": "^0.0.3",
+    "@llamaindex/core": "^0.4.10",
+    "@llamaindex/readers": "^1.0.11",
+    "@llamaindex/workflow": "^0.0.6",
+    "@llamaindex/vercel": "^0.0.2",
    "@notionhq/client": "^2.2.15",
-    "@pinecone-database/pinecone": "^3.0.2",
+    "@pinecone-database/pinecone": "^4.0.0",
    "@vercel/postgres": "^0.10.0",
    "@zilliz/milvus2-sdk-node": "^2.4.6",
+    "ai": "^4.0.0",
    "chromadb": "^1.8.1",
    "commander": "^12.1.0",
    "dotenv": "^16.4.5",
    "js-tiktoken": "^1.0.14",
-    "llamaindex": "^0.8.8",
+    "llamaindex": "^0.8.13",
    "mongodb": "^6.7.0",
    "pathe": "^1.1.2",
    "postgres": "^3.4.4"
@@ -15,7 +15,8 @@
    "start:llamaparse-dir": "node --import tsx ./src/simple-directory-reader-with-llamaparse.ts",
    "start:llamaparse-json": "node --import tsx ./src/llamaparse-json.ts",
    "start:discord": "node --import tsx ./src/discord.ts",
-    "start:json": "node --import tsx ./src/json.ts"
+    "start:json": "node --import tsx ./src/json.ts",
+    "start:obsidian": "node --import tsx ./src/obsidian.ts"
  },
  "dependencies": {
    "@llamaindex/readers": "*",
@@ -0,0 +1,12 @@
+import { ObsidianReader } from "@llamaindex/readers/obsidian";
+
+const obsidianReader = new ObsidianReader(
+  "/Users/jingyi/Documents/jingyi-vault",
+);
+
+obsidianReader.loadData().then((documents) => {
+  console.log("documents:", documents.length);
+  documents.forEach((doc) => {
+    console.log(`document (${doc.id_}):`, doc.getText());
+  });
+});
@@ -14,7 +14,6 @@ Settings.llm = new Ollama({

 Settings.embedModel = new HuggingFaceEmbedding({
  modelType: "BAAI/bge-small-en-v1.5",
-  quantized: false,
 });

 async function main() {
@@ -0,0 +1,50 @@
+# Vercel Examples
+
+These examples demonstrate how to integrate LlamaIndexTS with Vercel's AI SDK. The examples show how to use LlamaIndex for search and retrieval in both local vector store and LlamaCloud environments.
+
+## Setup
+
+To run these examples, first install the required dependencies from the parent folder `examples`:
+
+```bash
+npm i
+```
+
+## Running the Examples
+
+Make sure to run the examples from the parent folder called `examples`. The following examples are available:
+
+### Vector Store Example
+
+Run the local vector store example with:
+
+```bash
+npx tsx vercel/vector-store.ts
+```
+
+This example demonstrates:
+
+- Creating a vector store index from one document
+- Using Vercel's AI SDK with LlamaIndex for streaming responses
+
+### LlamaCloud Example
+
+To run the LlamaCloud example:
+
+```bash
+npx tsx vercel/llamacloud.ts
+```
+
+This example requires a LlamaCloud API key set in your environment and an embedding model set in the `EMBEDDING_MODEL` environment variable:
+
+```bash
+export LLAMA_CLOUD_API_KEY=your_api_key_here
+export EMBEDDING_MODEL="text-embedding-3-small"
+```
+
+The example demonstrates:
+
+- Creating a LlamaCloud index from one document
+- Streaming responses using Vercel's AI SDK
+
+For more detailed information about the Vercel integration, check out [the documentation](https://ts.llamaindex.ai/docs/llamaindex/integration/vercel).
@@ -0,0 +1,38 @@
+import { openai } from "@ai-sdk/openai";
+import { llamaindex } from "@llamaindex/vercel";
+import { streamText } from "ai";
+import { Document, LlamaCloudIndex } from "llamaindex";
+import fs from "node:fs/promises";
+
+async function main() {
+  const path = "node_modules/llamaindex/examples/abramov.txt";
+  const essay = await fs.readFile(path, "utf-8");
+  const document = new Document({ text: essay, id_: path });
+
+  const index = await LlamaCloudIndex.fromDocuments({
+    documents: [document],
+    name: "test-pipeline",
+    projectName: "Default",
+    apiKey: process.env.LLAMA_CLOUD_API_KEY,
+  });
+  console.log("Successfully created index");
+
+  const result = streamText({
+    model: openai("gpt-4o"),
+    prompt: "Cost of moving cat from Russia to UK?",
+    tools: {
+      queryTool: llamaindex({
+        index,
+        description:
+          "get information from your knowledge base to answer questions.", // optional description
+      }),
+    },
+    maxSteps: 5,
+  });
+
+  for await (const textPart of result.textStream) {
+    process.stdout.write(textPart);
+  }
+}
+
+main().catch(console.error);
@@ -0,0 +1,34 @@
+import { openai } from "@ai-sdk/openai";
+import { llamaindex } from "@llamaindex/vercel";
+import { streamText } from "ai";
+import { Document, VectorStoreIndex } from "llamaindex";
+
+import fs from "node:fs/promises";
+
+async function main() {
+  const path = "node_modules/llamaindex/examples/abramov.txt";
+  const essay = await fs.readFile(path, "utf-8");
+  const document = new Document({ text: essay, id_: path });
+
+  const index = await VectorStoreIndex.fromDocuments([document]);
+  console.log("Successfully created index");
+
+  const result = streamText({
+    model: openai("gpt-4o"),
+    prompt: "Cost of moving cat from Russia to UK?",
+    tools: {
+      queryTool: llamaindex({
+        index,
+        description:
+          "get information from your knowledge base to answer questions.", // optional description
+      }),
+    },
+    maxSteps: 5,
+  });
+
+  for await (const textPart of result.textStream) {
+    process.stdout.write(textPart);
+  }
+}
+
+main().catch(console.error);
@@ -0,0 +1,16 @@
+import { VLLM } from "llamaindex";
+
+const llm = new VLLM({
+  model: "NousResearch/Meta-Llama-3-8B-Instruct",
+});
+
+const response = await llm.chat({
+  messages: [
+    {
+      role: "user",
+      content: "Hello?",
+    },
+  ],
+});
+
+console.log(response.message.content);
@@ -1,14 +1,19 @@
 import {
-  Context,
+  HandlerContext,
  StartEvent,
  StopEvent,
  Workflow,
  WorkflowEvent,
-} from "@llamaindex/core/workflow";
+} from "@llamaindex/workflow";
 import { OpenAI } from "llamaindex";

 const MAX_REVIEWS = 3;

+type Context = {
+  specification: string;
+  numberReviews: number;
+};
+
 // Using the o1-preview model (see https://platform.openai.com/docs/guides/reasoning?reasoning-prompt-examples=coding-planning)
 const llm = new OpenAI({ model: "o1-preview", temperature: 1 });

@@ -20,7 +25,9 @@ stores the question/answer pair in the database.`;

 // Create custom event types
 export class MessageEvent extends WorkflowEvent<{ msg: string }> {}
+
 export class CodeEvent extends WorkflowEvent<{ code: string }> {}
+
 export class ReviewEvent extends WorkflowEvent<{
  review: string;
  code: string;
@@ -34,12 +41,13 @@ const truncate = (str: string) => {
 };

 // the architect is responsible for writing the structure and the initial code based on the specification
-const architect = async (context: Context, ev: StartEvent) => {
-  // get the specification from the start event and save it to context
-  context.set("specification", ev.data.input);
-  const spec = context.get("specification");
+const architect = async (
+  context: HandlerContext<Context>,
+  _: StartEvent<string>,
+) => {
+  const spec = context.data.specification;
  // write a message to send an update to the user
-  context.writeEventToStream(
+  context.sendEvent(
    new MessageEvent({
      msg: `Writing app using this specification: ${truncate(spec)}`,
    }),
@@ -50,13 +58,13 @@ const architect = async (context: Context, ev: StartEvent) => {
 };

 // the coder is responsible for updating the code based on the review
-const coder = async (context: Context, ev: ReviewEvent) => {
+const coder = async (context: HandlerContext<Context>, ev: ReviewEvent) => {
  // get the specification from the context
-  const spec = context.get("specification");
+  const spec = context.data.specification;
  // get the latest review and code
  const { review, code } = ev.data;
  // write a message to send an update to the user
-  context.writeEventToStream(
+  context.sendEvent(
    new MessageEvent({
      msg: `Update code based on review: ${truncate(review)}`,
    }),
@@ -67,32 +75,35 @@ const coder = async (context: Context, ev: ReviewEvent) => {
 };

 // the reviewer is responsible for reviewing the code and providing feedback
-const reviewer = async (context: Context, ev: CodeEvent) => {
+const reviewer = async (context: HandlerContext<Context>, ev: CodeEvent) => {
  // get the specification from the context
-  const spec = context.get("specification");
+  const spec = context.data.specification;
  // get latest code from the event
  const { code } = ev.data;
  // update and check the number of reviews
-  const numberReviews = context.get("numberReviews", 0) + 1;
-  context.set("numberReviews", numberReviews);
-  if (numberReviews > MAX_REVIEWS) {
+  context.data.numberReviews++;
+  if (context.data.numberReviews > MAX_REVIEWS) {
    // the we've done this too many times - return the code
-    context.writeEventToStream(
+    context.sendEvent(
      new MessageEvent({
-        msg: `Already reviewed ${numberReviews - 1} times, stopping!`,
+        msg: `Already reviewed ${
+          context.data.numberReviews - 1
+        } times, stopping!`,
      }),
    );
    return new StopEvent({ result: code });
  }
  // write a message to send an update to the user
-  context.writeEventToStream(
-    new MessageEvent({ msg: `Review #${numberReviews}: ${truncate(code)}` }),
+  context.sendEvent(
+    new MessageEvent({
+      msg: `Review #${context.data.numberReviews}: ${truncate(code)}`,
+    }),
  );
  const prompt = `Review this code: <code>${code}</code>. Check if the code quality and whether it correctly implements this specification: <spec>${spec}</spec>. If you're satisfied, just return 'Looks great', nothing else. If not, return a review with a list of changes you'd like to see.`;
  const review = (await llm.complete({ prompt })).text;
  if (review.includes("Looks great")) {
    // the reviewer is satisfied with the code, let's return the review
-    context.writeEventToStream(
+    context.sendEvent(
      new MessageEvent({
        msg: `Reviewer says: ${review}`,
      }),
@@ -103,20 +114,44 @@ const reviewer = async (context: Context, ev: CodeEvent) => {
  return new ReviewEvent({ review, code });
 };

-const codeAgent = new Workflow({ validate: true });
-codeAgent.addStep(StartEvent, architect, { outputs: CodeEvent });
-codeAgent.addStep(ReviewEvent, coder, { outputs: CodeEvent });
-codeAgent.addStep(CodeEvent, reviewer, { outputs: ReviewEvent });
+const codeAgent = new Workflow<Context, string, string>();
+codeAgent.addStep(
+  {
+    inputs: [StartEvent<string>],
+    outputs: [CodeEvent],
+  },
+  architect,
+);
+codeAgent.addStep(
+  {
+    inputs: [ReviewEvent],
+    outputs: [CodeEvent],
+  },
+  coder,
+);
+codeAgent.addStep(
+  {
+    inputs: [CodeEvent],
+    outputs: [ReviewEvent, StopEvent],
+  },
+  reviewer,
+);

 // Usage
 async function main() {
-  const run = codeAgent.run(specification);
-  for await (const event of codeAgent.streamEvents()) {
-    const msg = (event as MessageEvent).data.msg;
-    console.log(`${msg}\n`);
+  const run = codeAgent.run(specification).with({
+    specification,
+    numberReviews: 0,
+  });
+  for await (const event of run) {
+    if (event instanceof MessageEvent) {
+      const msg = (event as MessageEvent).data.msg;
+      console.log(`${msg}\n`);
+    } else if (event instanceof StopEvent) {
+      const result = (event as StopEvent<string>).data;
+      console.log("Final code:\n", result);
+    }
  }
-  const result = await run;
-  console.log("Final code:\n", result.data.result);
 }

 main().catch(console.error);
@@ -1,10 +1,10 @@
 import {
-  Context,
+  HandlerContext,
  StartEvent,
  StopEvent,
  Workflow,
  WorkflowEvent,
-} from "@llamaindex/core/workflow";
+} from "@llamaindex/workflow";
 import { OpenAI } from "llamaindex";

 // Create LLM instance
@@ -12,59 +12,77 @@ const llm = new OpenAI();

 // Create custom event types
 export class JokeEvent extends WorkflowEvent<{ joke: string }> {}
+
 export class CritiqueEvent extends WorkflowEvent<{ critique: string }> {}
+
 export class AnalysisEvent extends WorkflowEvent<{ analysis: string }> {}

-const generateJoke = async (_context: Context, ev: StartEvent) => {
-  const prompt = `Write your best joke about ${ev.data.input}.`;
+const generateJoke = async (_: unknown, ev: StartEvent<string>) => {
+  const prompt = `Write your best joke about ${ev.data}.`;
  const response = await llm.complete({ prompt });
  return new JokeEvent({ joke: response.text });
 };

-const critiqueJoke = async (_context: Context, ev: JokeEvent) => {
+const critiqueJoke = async (_: unknown, ev: JokeEvent) => {
  const prompt = `Give a thorough critique of the following joke: ${ev.data.joke}`;
  const response = await llm.complete({ prompt });
  return new CritiqueEvent({ critique: response.text });
 };

-const analyzeJoke = async (_context: Context, ev: JokeEvent) => {
+const analyzeJoke = async (_: unknown, ev: JokeEvent) => {
  const prompt = `Give a thorough analysis of the following joke: ${ev.data.joke}`;
  const response = await llm.complete({ prompt });
  return new AnalysisEvent({ analysis: response.text });
 };

 const reportJoke = async (
-  context: Context,
-  ev: AnalysisEvent | CritiqueEvent,
+  context: HandlerContext,
+  ev1: AnalysisEvent,
+  ev2: CritiqueEvent,
 ) => {
-  const events = context.collectEvents(ev, [AnalysisEvent, CritiqueEvent]);
-  if (!events) {
-    return;
-  }
-  const subPrompts = events.map((event) => {
-    if (event instanceof AnalysisEvent) {
-      return `Analysis: ${event.data.analysis}`;
-    } else if (event instanceof CritiqueEvent) {
-      return `Critique: ${event.data.critique}`;
-    }
-    return "";
-  });
+  const subPrompts = [ev1.data.analysis, ev2.data.critique];

-  const prompt = `Based on the following information about a joke:\n${subPrompts.join("\n")}\nProvide a comprehensive report on the joke's quality and impact.`;
+  const prompt = `Based on the following information about a joke:\n${subPrompts.join(
+    "\n",
+  )}\nProvide a comprehensive report on the joke's quality and impact.`;
  const response = await llm.complete({ prompt });
-  return new StopEvent({ result: response.text });
+  return new StopEvent(response.text);
 };

-const jokeFlow = new Workflow();
-jokeFlow.addStep(StartEvent, generateJoke);
-jokeFlow.addStep(JokeEvent, critiqueJoke);
-jokeFlow.addStep(JokeEvent, analyzeJoke);
-jokeFlow.addStep([AnalysisEvent, CritiqueEvent], reportJoke);
+const jokeFlow = new Workflow<unknown, string, string>();
+jokeFlow.addStep(
+  {
+    inputs: [StartEvent<string>],
+    outputs: [JokeEvent],
+  },
+  generateJoke,
+);
+jokeFlow.addStep(
+  {
+    inputs: [JokeEvent],
+    outputs: [CritiqueEvent],
+  },
+  critiqueJoke,
+);
+jokeFlow.addStep(
+  {
+    inputs: [JokeEvent],
+    outputs: [AnalysisEvent],
+  },
+  analyzeJoke,
+);
+jokeFlow.addStep(
+  {
+    inputs: [AnalysisEvent, CritiqueEvent],
+    outputs: [StopEvent<string>],
+  },
+  reportJoke,
+);

 // Usage
 async function main() {
  const result = await jokeFlow.run("pirates");
-  console.log(result.data.result);
+  console.log(result.data);
 }

 main().catch(console.error);
@@ -1,10 +1,9 @@
 import {
-  Context,
  StartEvent,
  StopEvent,
  Workflow,
  WorkflowEvent,
-} from "@llamaindex/core/workflow";
+} from "@llamaindex/workflow";
 import { OpenAI } from "llamaindex";

 // Create LLM instance
@@ -13,26 +12,38 @@ const llm = new OpenAI();
 // Create a custom event type
 export class JokeEvent extends WorkflowEvent<{ joke: string }> {}

-const generateJoke = async (_context: Context, ev: StartEvent) => {
-  const prompt = `Write your best joke about ${ev.data.input}.`;
+const generateJoke = async (_: unknown, ev: StartEvent<string>) => {
+  const prompt = `Write your best joke about ${ev.data}.`;
  const response = await llm.complete({ prompt });
  return new JokeEvent({ joke: response.text });
 };

-const critiqueJoke = async (_context: Context, ev: JokeEvent) => {
+const critiqueJoke = async (_: unknown, ev: JokeEvent) => {
  const prompt = `Give a thorough critique of the following joke: ${ev.data.joke}`;
  const response = await llm.complete({ prompt });
-  return new StopEvent({ result: response.text });
+  return new StopEvent(response.text);
 };

-const jokeFlow = new Workflow({ verbose: true });
-jokeFlow.addStep(StartEvent, generateJoke);
-jokeFlow.addStep(JokeEvent, critiqueJoke);
+const jokeFlow = new Workflow<unknown, string, string>();
+jokeFlow.addStep(
+  {
+    inputs: [StartEvent<string>],
+    outputs: [JokeEvent],
+  },
+  generateJoke,
+);
+jokeFlow.addStep(
+  {
+    inputs: [JokeEvent],
+    outputs: [StopEvent<string>],
+  },
+  critiqueJoke,
+);

 // Usage
 async function main() {
  const result = await jokeFlow.run("pirates");
-  console.log(result.data.result);
+  console.log(result.data);
 }

 main().catch(console.error);
@@ -1,10 +1,10 @@
 import {
-  Context,
+  HandlerContext,
  StartEvent,
  StopEvent,
  Workflow,
  WorkflowEvent,
-} from "@llamaindex/core/workflow";
+} from "@llamaindex/workflow";
 import { OpenAI } from "llamaindex";

 // Create LLM instance
@@ -12,38 +12,55 @@ const llm = new OpenAI();

 // Create custom event types
 export class JokeEvent extends WorkflowEvent<{ joke: string }> {}
+
 export class MessageEvent extends WorkflowEvent<{ msg: string }> {}

-const generateJoke = async (context: Context, ev: StartEvent) => {
-  context.writeEventToStream(
-    new MessageEvent({ msg: `Generating a joke about: ${ev.data.input}` }),
+const generateJoke = async (context: HandlerContext, ev: StartEvent) => {
+  context.sendEvent(
+    new MessageEvent({ msg: `Generating a joke about: ${ev.data}` }),
  );
-  const prompt = `Write your best joke about ${ev.data.input}.`;
+  const prompt = `Write your best joke about ${ev.data}.`;
  const response = await llm.complete({ prompt });
  return new JokeEvent({ joke: response.text });
 };

-const critiqueJoke = async (context: Context, ev: JokeEvent) => {
-  context.writeEventToStream(
+const critiqueJoke = async (context: HandlerContext, ev: JokeEvent) => {
+  context.sendEvent(
    new MessageEvent({ msg: `Write a critique of this joke: ${ev.data.joke}` }),
  );
  const prompt = `Give a thorough critique of the following joke: ${ev.data.joke}`;
  const response = await llm.complete({ prompt });
-  return new StopEvent({ result: response.text });
+  return new StopEvent(response.text);
 };

 const jokeFlow = new Workflow();
-jokeFlow.addStep(StartEvent, generateJoke);
-jokeFlow.addStep(JokeEvent, critiqueJoke);
+jokeFlow.addStep(
+  {
+    inputs: [StartEvent<string>],
+    outputs: [JokeEvent],
+  },
+  generateJoke,
+);
+jokeFlow.addStep(
+  {
+    inputs: [JokeEvent],
+    outputs: [StopEvent<string>],
+  },
+  critiqueJoke,
+);

 // Usage
 async function main() {
  const run = jokeFlow.run("pirates");
-  for await (const event of jokeFlow.streamEvents()) {
-    console.log((event as MessageEvent).data.msg);
+  for await (const event of run) {
+    if (event instanceof MessageEvent) {
+      console.log("Message:");
+      console.log((event as MessageEvent).data.msg);
+    } else if (event instanceof StopEvent) {
+      console.log("Result:");
+      console.log((event as StopEvent<string>).data);
+    }
  }
-  const result = await run;
-  console.log(result.data.result);
 }

 main().catch(console.error);
@@ -1,19 +1,21 @@
-import {
-  Context,
-  StartEvent,
-  StopEvent,
-  Workflow,
-} from "@llamaindex/core/workflow";
+import { StartEvent, StopEvent, Workflow } from "@llamaindex/workflow";

-const longRunning = async (_context: Context, ev: StartEvent) => {
+const longRunning = async (_: unknown, ev: StartEvent<string>) => {
  await new Promise((resolve) => setTimeout(resolve, 2000)); // Wait for 2 seconds
-  return new StopEvent({ result: "We waited 2 seconds" });
+  return new StopEvent("We waited 2 seconds");
 };

 async function timeout() {
-  const workflow = new Workflow({ verbose: true, timeout: 1 });
-  workflow.addStep(StartEvent, longRunning);
-  // This will timeout
+  const workflow = new Workflow<unknown, string, string>({
+    timeout: 1,
+  });
+  workflow.addStep(
+    {
+      inputs: [StartEvent<string>],
+      outputs: [StopEvent<string>],
+    },
+    longRunning,
+  );
  try {
    await workflow.run("Let's start");
  } catch (error) {
@@ -23,14 +25,23 @@ async function timeout() {

 async function notimeout() {
  // Increase timeout to 3 seconds - no timeout
-  const workflow = new Workflow({ verbose: true, timeout: 3 });
-  workflow.addStep(StartEvent, longRunning);
+  const workflow = new Workflow<unknown, string, string>({
+    timeout: 3,
+  });
+  workflow.addStep(
+    {
+      inputs: [StartEvent<string>],
+      outputs: [StopEvent<string>],
+    },
+    longRunning,
+  );
  const result = await workflow.run("Let's start");
-  console.log(result.data.result);
+  console.log(result.data);
 }

 async function main() {
  await timeout();
+  console.log("---");
  await notimeout();
 }

@@ -1,10 +1,9 @@
 import {
-  Context,
  StartEvent,
  StopEvent,
  Workflow,
  WorkflowEvent,
-} from "@llamaindex/core/workflow";
+} from "@llamaindex/workflow";
 import { OpenAI } from "llamaindex";

 // Create LLM instance
@@ -13,40 +12,66 @@ const llm = new OpenAI();
 // Create a custom event type
 export class JokeEvent extends WorkflowEvent<{ joke: string }> {}

-const generateJoke = async (_context: Context, ev: StartEvent) => {
-  const prompt = `Write your best joke about ${ev.data.input}.`;
+const generateJoke = async (_: unknown, ev: StartEvent<string>) => {
+  const prompt = `Write your best joke about ${ev.data}.`;
  const response = await llm.complete({ prompt });
  return new JokeEvent({ joke: response.text });
 };

-const critiqueJoke = async (_context: Context, ev: JokeEvent) => {
+const critiqueJoke = async (_: unknown, ev: JokeEvent) => {
  const prompt = `Give a thorough critique of the following joke: ${ev.data.joke}`;
  const response = await llm.complete({ prompt });
-  return new StopEvent({ result: response.text });
+  return new StopEvent(response.text);
 };

 async function validateFails() {
  try {
-    const jokeFlow = new Workflow({ verbose: true, validate: true });
-    jokeFlow.addStep(StartEvent, generateJoke, { outputs: StopEvent });
-    jokeFlow.addStep(JokeEvent, critiqueJoke, { outputs: StopEvent });
-    await jokeFlow.run("pirates");
+    const jokeFlow = new Workflow();
+    jokeFlow.addStep(
+      {
+        inputs: [StartEvent<string>],
+        outputs: [StopEvent<string>],
+      },
+      // @ts-expect-error outputs should be JokeEvent
+      generateJoke,
+    );
+    jokeFlow.addStep(
+      {
+        inputs: [JokeEvent],
+        outputs: [StopEvent],
+      },
+      critiqueJoke,
+    );
+    await jokeFlow.run("pirates").strict();
  } catch (e) {
    console.error("Validation failed:", e);
  }
 }

 async function validate() {
-  const jokeFlow = new Workflow({ verbose: true, validate: true });
-  jokeFlow.addStep(StartEvent, generateJoke, { outputs: JokeEvent });
-  jokeFlow.addStep(JokeEvent, critiqueJoke, { outputs: StopEvent });
-  const result = await jokeFlow.run("pirates");
-  console.log(result.data.result);
+  const jokeFlow = new Workflow();
+  jokeFlow.addStep(
+    {
+      inputs: [StartEvent<string>],
+      outputs: [JokeEvent],
+    },
+    generateJoke,
+  );
+  jokeFlow.addStep(
+    {
+      inputs: [JokeEvent],
+      outputs: [StopEvent<string>],
+    },
+    critiqueJoke,
+  );
+  const result = await jokeFlow.run("pirates").strict();
+  console.log(result.data);
 }

 // Usage
 async function main() {
  await validateFails();
+  console.log("---");
  await validate();
 }

@@ -19,28 +19,22 @@
  },
  "devDependencies": {
    "@changesets/cli": "^2.27.5",
-    "eslint": "9.14.0",
-    "eslint-config-next": "^15.0.2",
+    "eslint": "9.15.0",
+    "eslint-config-next": "^15.0.3",
    "eslint-config-prettier": "^9.1.0",
-    "eslint-config-turbo": "^2.2.3",
+    "eslint-config-turbo": "^2.3.0",
    "eslint-plugin-react": "7.37.2",
    "globals": "^15.12.0",
-    "husky": "^9.1.6",
+    "husky": "^9.1.7",
    "lint-staged": "^15.2.10",
    "madge": "^8.0.0",
    "prettier": "^3.3.3",
    "prettier-plugin-organize-imports": "^4.1.0",
-    "turbo": "^2.2.3",
+    "turbo": "^2.3.0",
    "typescript": "^5.6.3",
-    "typescript-eslint": "^8.13.0"
+    "typescript-eslint": "^8.15.0"
  },
  "packageManager": "pnpm@9.12.3",
-  "pnpm": {
-    "overrides": {
-      "trim": "1.0.1",
-      "protobufjs": "7.2.6"
-    }
-  },
  "lint-staged": {
    "(!apps/docs/i18n/**/docusaurus-plugin-content-docs/current/api/*).{js,jsx,ts,tsx,md}": "prettier --write"
  }
@@ -1,5 +1,115 @@
 # @llamaindex/autotool

+## 5.0.24
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+
+## 5.0.23
+
+### Patch Changes
+
+- llamaindex@0.8.23
+
+## 5.0.22
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+
+## 5.0.21
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+
+## 5.0.20
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+
+## 5.0.19
+
+### Patch Changes
+
+- 90d265c: chore: bump version
+- Updated dependencies [90d265c]
+  - llamaindex@0.8.19
+
+## 5.0.18
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+
+## 5.0.17
+
+### Patch Changes
+
+- llamaindex@0.8.17
+
+## 5.0.16
+
+### Patch Changes
+
+- llamaindex@0.8.16
+
+## 5.0.15
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+
+## 5.0.14
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+
+## 5.0.13
+
+### Patch Changes
+
+- llamaindex@0.8.13
+
+## 5.0.12
+
+### Patch Changes
+
+- llamaindex@0.8.12
+
+## 5.0.11
+
+### Patch Changes
+
+- llamaindex@0.8.11
+
+## 5.0.10
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+
+## 5.0.9
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+
 ## 5.0.8

 ### Patch Changes
@@ -1,5 +1,130 @@
 # @llamaindex/autotool-01-node-example

+## 0.0.67
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+  - @llamaindex/autotool@5.0.24
+
+## 0.0.66
+
+### Patch Changes
+
+- llamaindex@0.8.23
+- @llamaindex/autotool@5.0.23
+
+## 0.0.65
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+  - @llamaindex/autotool@5.0.22
+
+## 0.0.64
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+  - @llamaindex/autotool@5.0.21
+
+## 0.0.63
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+  - @llamaindex/autotool@5.0.20
+
+## 0.0.62
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - @llamaindex/autotool@5.0.19
+  - llamaindex@0.8.19
+
+## 0.0.61
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+  - @llamaindex/autotool@5.0.18
+
+## 0.0.60
+
+### Patch Changes
+
+- llamaindex@0.8.17
+- @llamaindex/autotool@5.0.17
+
+## 0.0.59
+
+### Patch Changes
+
+- llamaindex@0.8.16
+- @llamaindex/autotool@5.0.16
+
+## 0.0.58
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+  - @llamaindex/autotool@5.0.15
+
+## 0.0.57
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+  - @llamaindex/autotool@5.0.14
+
+## 0.0.56
+
+### Patch Changes
+
+- llamaindex@0.8.13
+- @llamaindex/autotool@5.0.13
+
+## 0.0.55
+
+### Patch Changes
+
+- llamaindex@0.8.12
+- @llamaindex/autotool@5.0.12
+
+## 0.0.54
+
+### Patch Changes
+
+- llamaindex@0.8.11
+- @llamaindex/autotool@5.0.11
+
+## 0.0.53
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+  - @llamaindex/autotool@5.0.10
+
+## 0.0.52
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+  - @llamaindex/autotool@5.0.9
+
 ## 0.0.51

 ### Patch Changes
@@ -5,7 +5,7 @@
  "dependencies": {
    "@llamaindex/autotool": "workspace:*",
    "llamaindex": "workspace:*",
-    "openai": "^4.57.0"
+    "openai": "^4.72.0"
  },
  "devDependencies": {
    "tsx": "^4.19.0"
@@ -13,5 +13,5 @@
  "scripts": {
    "start": "node --import tsx --import @llamaindex/autotool/node ./src/index.ts"
  },
-  "version": "0.0.51"
+  "version": "0.0.67"
 }
@@ -1,5 +1,130 @@
 # @llamaindex/autotool-02-next-example

+## 0.1.111
+
+### Patch Changes
+
+- Updated dependencies [515f2c1]
+  - llamaindex@0.8.24
+  - @llamaindex/autotool@5.0.24
+
+## 0.1.110
+
+### Patch Changes
+
+- llamaindex@0.8.23
+- @llamaindex/autotool@5.0.23
+
+## 0.1.109
+
+### Patch Changes
+
+- Updated dependencies [819af45]
+  - llamaindex@0.8.22
+  - @llamaindex/autotool@5.0.22
+
+## 0.1.108
+
+### Patch Changes
+
+- Updated dependencies [83c3897]
+- Updated dependencies [efa2211]
+  - llamaindex@0.8.21
+  - @llamaindex/autotool@5.0.21
+
+## 0.1.107
+
+### Patch Changes
+
+- Updated dependencies [02b22da]
+  - llamaindex@0.8.20
+  - @llamaindex/autotool@5.0.20
+
+## 0.1.106
+
+### Patch Changes
+
+- Updated dependencies [90d265c]
+  - @llamaindex/autotool@5.0.19
+  - llamaindex@0.8.19
+
+## 0.1.105
+
+### Patch Changes
+
+- Updated dependencies [d17450f]
+  - llamaindex@0.8.18
+  - @llamaindex/autotool@5.0.18
+
+## 0.1.104
+
+### Patch Changes
+
+- llamaindex@0.8.17
+- @llamaindex/autotool@5.0.17
+
+## 0.1.103
+
+### Patch Changes
+
+- llamaindex@0.8.16
+- @llamaindex/autotool@5.0.16
+
+## 0.1.102
+
+### Patch Changes
+
+- Updated dependencies [3d503cb]
+- Updated dependencies [5dae534]
+  - llamaindex@0.8.15
+  - @llamaindex/autotool@5.0.15
+
+## 0.1.101
+
+### Patch Changes
+
+- Updated dependencies [630b425]
+  - llamaindex@0.8.14
+  - @llamaindex/autotool@5.0.14
+
+## 0.1.100
+
+### Patch Changes
+
+- llamaindex@0.8.13
+- @llamaindex/autotool@5.0.13
+
+## 0.1.99
+
+### Patch Changes
+
+- llamaindex@0.8.12
+- @llamaindex/autotool@5.0.12
+
+## 0.1.98
+
+### Patch Changes
+
+- llamaindex@0.8.11
+- @llamaindex/autotool@5.0.11
+
+## 0.1.97
+
+### Patch Changes
+
+- Updated dependencies [f066e50]
+  - llamaindex@0.8.10
+  - @llamaindex/autotool@5.0.10
+
+## 0.1.96
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+- Updated dependencies [4d4cd8a]
+  - llamaindex@0.8.9
+  - @llamaindex/autotool@5.0.9
+
 ## 0.1.95

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/autotool-02-next-example",
  "private": true,
-  "version": "0.1.95",
+  "version": "0.1.111",
  "scripts": {
    "dev": "next dev",
    "build": "next build",
@@ -10,17 +10,17 @@
  "dependencies": {
    "@llamaindex/autotool": "workspace:*",
    "@radix-ui/react-slot": "^1.1.0",
-    "ai": "^3.3.21",
+    "ai": "^4.0.0",
    "class-variance-authority": "^0.7.0",
    "dotenv": "^16.3.1",
    "llamaindex": "workspace:*",
-    "lucide-react": "^0.436.0",
-    "next": "15.0.2",
+    "lucide-react": "^0.460.0",
+    "next": "15.0.3",
    "react": "^18.3.1",
    "react-dom": "^18.3.1",
    "react-markdown": "^9.0.1",
    "react-syntax-highlighter": "^15.5.0",
-    "sonner": "^1.5.0",
+    "sonner": "^1.7.0",
    "tailwind-merge": "^2.5.2"
  },
  "devDependencies": {
@@ -30,8 +30,8 @@
    "@types/react-syntax-highlighter": "^15.5.11",
    "autoprefixer": "^10.4.20",
    "cross-env": "^7.0.3",
-    "postcss": "^8.4.41",
-    "tailwindcss": "^3.4.10",
+    "postcss": "^8.4.49",
+    "tailwindcss": "^3.4.15",
    "typescript": "^5.6.3"
  }
 }
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/autotool",
  "type": "module",
-  "version": "5.0.8",
+  "version": "5.0.24",
  "description": "auto transpile your JS function to LLM Agent compatible",
  "files": [
    "dist",
@@ -45,10 +45,10 @@
    "dev": "bunchee --watch"
  },
  "dependencies": {
-    "@swc/core": "^1.7.22",
-    "jotai": "2.8.4",
+    "@swc/core": "^1.9.2",
+    "jotai": "2.10.2",
    "typedoc": "^0.26.11",
-    "unplugin": "^1.12.2"
+    "unplugin": "^1.16.0"
  },
  "peerDependencies": {
    "llamaindex": "workspace:*",
@@ -72,11 +72,11 @@
    "@types/node": "^22.9.0",
    "bunchee": "5.6.1",
    "llamaindex": "workspace:*",
-    "next": "15.0.2",
-    "rollup": "^4.24.4",
+    "next": "15.0.3",
+    "rollup": "^4.27.3",
    "tsx": "^4.19.0",
    "typescript": "^5.6.3",
-    "vitest": "^2.1.4",
+    "vitest": "^2.1.5",
    "webpack": "^5.94.0"
  }
 }
@@ -22,7 +22,7 @@ export type InfoString = {
  parameterMapping: Record<string, number>;
 };

-export const store = createStore();
+export const store: ReturnType<typeof createStore> = createStore();
 export const toolMetadataAtom = atom<[ToolMetadata, Info][]>([]);
 // eslint-disable-next-line @typescript-eslint/no-explicit-any
 export const toolsAtom = atom<Record<string, (...args: any[]) => any>>({});
@@ -1,5 +1,82 @@
 # @llamaindex/cloud

+## 2.0.15
+
+### Patch Changes
+
+- Updated dependencies [d2b2722]
+  - @llamaindex/env@0.1.23
+  - @llamaindex/core@0.4.15
+
+## 2.0.14
+
+### Patch Changes
+
+- Updated dependencies [969365c]
+  - @llamaindex/env@0.1.22
+  - @llamaindex/core@0.4.14
+
+## 2.0.13
+
+### Patch Changes
+
+- 90d265c: chore: bump version
+- Updated dependencies [90d265c]
+  - @llamaindex/core@0.4.13
+  - @llamaindex/env@0.1.21
+
+## 2.0.12
+
+### Patch Changes
+
+- Updated dependencies [ef4f63d]
+  - @llamaindex/core@0.4.12
+
+## 2.0.11
+
+### Patch Changes
+
+- Updated dependencies [6d22fa2]
+  - @llamaindex/core@0.4.11
+
+## 2.0.10
+
+### Patch Changes
+
+- Updated dependencies [a7b0ac3]
+- Updated dependencies [c69605f]
+  - @llamaindex/core@0.4.10
+
+## 2.0.9
+
+### Patch Changes
+
+- Updated dependencies [7ae6eaa]
+  - @llamaindex/core@0.4.9
+
+## 2.0.8
+
+### Patch Changes
+
+- Updated dependencies [f865c98]
+  - @llamaindex/core@0.4.8
+
+## 2.0.7
+
+### Patch Changes
+
+- Updated dependencies [d89ebe0]
+- Updated dependencies [fd8c882]
+  - @llamaindex/core@0.4.7
+
+## 2.0.6
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+  - @llamaindex/env@0.1.20
+  - @llamaindex/core@0.4.6
+
 ## 2.0.5

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/cloud",
-  "version": "2.0.5",
+  "version": "2.0.15",
  "type": "module",
  "license": "MIT",
  "scripts": {
@@ -50,8 +50,8 @@
    "directory": "packages/cloud"
  },
  "devDependencies": {
-    "@hey-api/client-fetch": "^0.4.2",
-    "@hey-api/openapi-ts": "^0.54.3",
+    "@hey-api/client-fetch": "^0.4.4",
+    "@hey-api/openapi-ts": "^0.56.0",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/env": "workspace:*",
    "bunchee": "5.6.1"
@@ -1,5 +1,82 @@
 # @llamaindex/community

+## 0.0.73
+
+### Patch Changes
+
+- Updated dependencies [d2b2722]
+  - @llamaindex/env@0.1.23
+  - @llamaindex/core@0.4.15
+
+## 0.0.72
+
+### Patch Changes
+
+- Updated dependencies [969365c]
+  - @llamaindex/env@0.1.22
+  - @llamaindex/core@0.4.14
+
+## 0.0.71
+
+### Patch Changes
+
+- 90d265c: chore: bump version
+- Updated dependencies [90d265c]
+  - @llamaindex/core@0.4.13
+  - @llamaindex/env@0.1.21
+
+## 0.0.70
+
+### Patch Changes
+
+- Updated dependencies [ef4f63d]
+  - @llamaindex/core@0.4.12
+
+## 0.0.69
+
+### Patch Changes
+
+- Updated dependencies [6d22fa2]
+  - @llamaindex/core@0.4.11
+
+## 0.0.68
+
+### Patch Changes
+
+- Updated dependencies [a7b0ac3]
+- Updated dependencies [c69605f]
+  - @llamaindex/core@0.4.10
+
+## 0.0.67
+
+### Patch Changes
+
+- Updated dependencies [7ae6eaa]
+  - @llamaindex/core@0.4.9
+
+## 0.0.66
+
+### Patch Changes
+
+- Updated dependencies [f865c98]
+  - @llamaindex/core@0.4.8
+
+## 0.0.65
+
+### Patch Changes
+
+- Updated dependencies [d89ebe0]
+- Updated dependencies [fd8c882]
+  - @llamaindex/core@0.4.7
+
+## 0.0.64
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+  - @llamaindex/env@0.1.20
+  - @llamaindex/core@0.4.6
+
 ## 0.0.63

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/community",
  "description": "Community package for LlamaIndexTS",
-  "version": "0.0.63",
+  "version": "0.0.73",
  "type": "module",
  "types": "dist/type/index.d.ts",
  "main": "dist/cjs/index.js",
@@ -46,8 +46,8 @@
    "bunchee": "5.6.1"
  },
  "dependencies": {
-    "@aws-sdk/client-bedrock-agent-runtime": "^3.642.0",
-    "@aws-sdk/client-bedrock-runtime": "^3.642.0",
+    "@aws-sdk/client-bedrock-agent-runtime": "^3.693.0",
+    "@aws-sdk/client-bedrock-runtime": "^3.693.0",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/env": "workspace:*"
  }
@@ -1,5 +1,72 @@
 # @llamaindex/core

+## 0.4.15
+
+### Patch Changes
+
+- Updated dependencies [d2b2722]
+  - @llamaindex/env@0.1.23
+
+## 0.4.14
+
+### Patch Changes
+
+- Updated dependencies [969365c]
+  - @llamaindex/env@0.1.22
+
+## 0.4.13
+
+### Patch Changes
+
+- 90d265c: chore: bump version
+- Updated dependencies [90d265c]
+  - @llamaindex/env@0.1.21
+
+## 0.4.12
+
+### Patch Changes
+
+- ef4f63d: refactor: move mockLLM to core
+
+## 0.4.11
+
+### Patch Changes
+
+- 6d22fa2: Get PromptTemplate template variables at run-time
+
+## 0.4.10
+
+### Patch Changes
+
+- a7b0ac3: fix: update tool call llm type
+- c69605f: feat: add async support to BaseChatStore and BaseChatStoreMemory
+
+## 0.4.9
+
+### Patch Changes
+
+- 7ae6eaa: feat: allow pass `additionalChatOptions` to agent
+
+## 0.4.8
+
+### Patch Changes
+
+- f865c98: feat: async get message on chat store
+
+## 0.4.7
+
+### Patch Changes
+
+- d89ebe0: feat: better support for zod schema
+- fd8c882: chore: add warning on legacy workflow API
+
+## 0.4.6
+
+### Patch Changes
+
+- Updated dependencies [4fc001c]
+  - @llamaindex/env@0.1.20
+
 ## 0.4.5

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/core",
  "type": "module",
-  "version": "0.4.5",
+  "version": "0.4.15",
  "description": "LlamaIndex Core Module",
  "exports": {
    "./agent": {
@@ -389,10 +389,10 @@
    "url": "https://github.com/run-llama/LlamaIndexTS.git"
  },
  "devDependencies": {
-    "@edge-runtime/vm": "^4.0.3",
+    "@edge-runtime/vm": "^4.0.4",
    "ajv": "^8.17.1",
    "bunchee": "5.6.1",
-    "happy-dom": "^15.11.0",
+    "happy-dom": "^15.11.6",
    "natural": "^8.0.1"
  },
  "dependencies": {
@@ -106,11 +106,17 @@ export type AgentRunnerParams<
  >
    ? AdditionalMessageOptions
    : never,
+  AdditionalChatOptions extends object = object,
 > = {
  llm: AI;
  chatHistory: ChatMessage<AdditionalMessageOptions>[];
  systemPrompt: MessageContent | null;
-  runner: AgentWorker<AI, Store, AdditionalMessageOptions>;
+  runner: AgentWorker<
+    AI,
+    Store,
+    AdditionalMessageOptions,
+    AdditionalChatOptions
+  >;
  tools:
    | BaseToolWithCall[]
    | ((query: MessageContent) => Promise<BaseToolWithCall[]>);
@@ -125,6 +131,7 @@ export type AgentParamsBase<
  >
    ? AdditionalMessageOptions
    : never,
+  AdditionalChatOptions extends object = object,
 > =
  | {
      llm?: AI;
@@ -132,6 +139,7 @@ export type AgentParamsBase<
      systemPrompt?: MessageContent;
      verbose?: boolean;
      tools: BaseToolWithCall[];
+      additionalChatOptions?: AdditionalChatOptions;
    }
  | {
      llm?: AI;
@@ -139,6 +147,7 @@ export type AgentParamsBase<
      systemPrompt?: MessageContent;
      verbose?: boolean;
      toolRetriever: ObjectRetriever<BaseToolWithCall>;
+      additionalChatOptions?: AdditionalChatOptions;
    };

 /**
@@ -153,21 +162,36 @@ export abstract class AgentWorker<
  >
    ? AdditionalMessageOptions
    : never,
+  AdditionalChatOptions extends object = object,
 > {
-  #taskSet = new Set<TaskStep<AI, Store, AdditionalMessageOptions>>();
-  abstract taskHandler: TaskHandler<AI, Store, AdditionalMessageOptions>;
+  #taskSet = new Set<
+    TaskStep<AI, Store, AdditionalMessageOptions, AdditionalChatOptions>
+  >();
+  abstract taskHandler: TaskHandler<
+    AI,
+    Store,
+    AdditionalMessageOptions,
+    AdditionalChatOptions
+  >;

  public createTask(
    query: MessageContent,
-    context: AgentTaskContext<AI, Store, AdditionalMessageOptions>,
-  ): ReadableStream<TaskStepOutput<AI, Store, AdditionalMessageOptions>> {
+    context: AgentTaskContext<
+      AI,
+      Store,
+      AdditionalMessageOptions,
+      AdditionalChatOptions
+    >,
+  ): ReadableStream<
+    TaskStepOutput<AI, Store, AdditionalMessageOptions, AdditionalChatOptions>
+  > {
    context.store.messages.push({
      role: "user",
      content: query,
    });
    const taskOutputStream = createTaskOutputStream(this.taskHandler, context);
    return new ReadableStream<
-      TaskStepOutput<AI, Store, AdditionalMessageOptions>
+      TaskStepOutput<AI, Store, AdditionalMessageOptions, AdditionalChatOptions>
    >({
      start: async (controller) => {
        for await (const stepOutput of taskOutputStream) {
@@ -176,7 +200,8 @@ export abstract class AgentWorker<
            let currentStep: TaskStep<
              AI,
              Store,
-              AdditionalMessageOptions
+              AdditionalMessageOptions,
+              AdditionalChatOptions
            > | null = stepOutput.taskStep;
            while (currentStep) {
              this.#taskSet.delete(currentStep);
@@ -227,6 +252,7 @@ export abstract class AgentRunner<
  >
    ? AdditionalMessageOptions
    : never,
+  AdditionalChatOptions extends object = object,
 > extends BaseChatEngine {
  readonly #llm: AI;
  readonly #tools:
@@ -234,7 +260,12 @@ export abstract class AgentRunner<
    | ((query: MessageContent) => Promise<BaseToolWithCall[]>);
  readonly #systemPrompt: MessageContent | null = null;
  #chatHistory: ChatMessage<AdditionalMessageOptions>[];
-  readonly #runner: AgentWorker<AI, Store, AdditionalMessageOptions>;
+  readonly #runner: AgentWorker<
+    AI,
+    Store,
+    AdditionalMessageOptions,
+    AdditionalChatOptions
+  >;
  readonly #verbose: boolean;

  // create extra store
@@ -245,7 +276,7 @@ export abstract class AgentRunner<
  }

  static defaultTaskHandler: TaskHandler<LLM> = async (step, enqueueOutput) => {
-    const { llm, getTools, stream } = step.context;
+    const { llm, getTools, stream, additionalChatOptions } = step.context;
    const lastMessage = step.context.store.messages.at(-1)!.content;
    const tools = await getTools(lastMessage);
    if (!stream) {
@@ -253,8 +284,9 @@ export abstract class AgentRunner<
        stream,
        tools,
        messages: [...step.context.store.messages],
+        additionalChatOptions,
      });
-      await stepTools<LLM>({
+      await stepTools({
        response,
        tools,
        step,
@@ -265,6 +297,7 @@ export abstract class AgentRunner<
        stream,
        tools,
        messages: [...step.context.store.messages],
+        additionalChatOptions,
      });
      await stepToolsStreaming<LLM>({
        response,
@@ -276,7 +309,12 @@ export abstract class AgentRunner<
  };

  protected constructor(
-    params: AgentRunnerParams<AI, Store, AdditionalMessageOptions>,
+    params: AgentRunnerParams<
+      AI,
+      Store,
+      AdditionalMessageOptions,
+      AdditionalChatOptions
+    >,
  ) {
    super();
    const { llm, chatHistory, systemPrompt, runner, tools, verbose } = params;
@@ -330,6 +368,7 @@ export abstract class AgentRunner<
    stream: boolean = false,
    verbose: boolean | undefined = undefined,
    chatHistory?: ChatMessage<AdditionalMessageOptions>[],
+    additionalChatOptions?: AdditionalChatOptions,
  ) {
    const initialMessages = [...(chatHistory ?? this.#chatHistory)];
    if (this.#systemPrompt !== null) {
@@ -348,6 +387,7 @@ export abstract class AgentRunner<
      stream,
      toolCallCount: 0,
      llm: this.#llm,
+      additionalChatOptions: additionalChatOptions ?? {},
      getTools: (message) => this.getTools(message),
      store: {
        ...this.createStore(),
@@ -365,13 +405,29 @@ export abstract class AgentRunner<
    });
  }

-  async chat(params: NonStreamingChatEngineParams): Promise<EngineResponse>;
  async chat(
-    params: StreamingChatEngineParams,
+    params: NonStreamingChatEngineParams<
+      AdditionalMessageOptions,
+      AdditionalChatOptions
+    >,
+  ): Promise<EngineResponse>;
+  async chat(
+    params: StreamingChatEngineParams<
+      AdditionalMessageOptions,
+      AdditionalChatOptions
+    >,
  ): Promise<ReadableStream<EngineResponse>>;
  @wrapEventCaller
  async chat(
-    params: NonStreamingChatEngineParams | StreamingChatEngineParams,
+    params:
+      | NonStreamingChatEngineParams<
+          AdditionalMessageOptions,
+          AdditionalChatOptions
+        >
+      | StreamingChatEngineParams<
+          AdditionalMessageOptions,
+          AdditionalChatOptions
+        >,
  ): Promise<EngineResponse | ReadableStream<EngineResponse>> {
    let chatHistory: ChatMessage<AdditionalMessageOptions>[] = [];

@@ -388,6 +444,7 @@ export abstract class AgentRunner<
      !!params.stream,
      false,
      chatHistory,
+      params.chatOptions,
    );
    for await (const stepOutput of task) {
      // update chat history for each round
@@ -398,7 +455,12 @@ export abstract class AgentRunner<
          return output.pipeThrough(
            new TransformStream<EngineResponse>({
              transform(chunk, controller) {
-                controller.enqueue(EngineResponse.fromChatResponseChunk(chunk));
+                controller.enqueue(
+                  EngineResponse.fromChatResponseChunk(
+                    chunk,
+                    chunk.sourceNodes,
+                  ),
+                );
              },
            }),
          );
@@ -4,24 +4,66 @@ import { ObjectRetriever } from "../objects";
 import { AgentRunner, AgentWorker, type AgentParamsBase } from "./base.js";
 import { validateAgentParams } from "./utils.js";

-type LLMParamsBase = AgentParamsBase<LLM>;
+type LLMParamsBase<
+  AI extends LLM,
+  AdditionalMessageOptions extends object = AI extends LLM<
+    object,
+    infer AdditionalMessageOptions
+  >
+    ? AdditionalMessageOptions
+    : never,
+  AdditionalChatOptions extends object = object,
+> = AgentParamsBase<AI, AdditionalMessageOptions, AdditionalChatOptions>;

-type LLMParamsWithTools = LLMParamsBase & {
+type LLMParamsWithTools<
+  AI extends LLM,
+  AdditionalMessageOptions extends object = AI extends LLM<
+    object,
+    infer AdditionalMessageOptions
+  >
+    ? AdditionalMessageOptions
+    : never,
+  AdditionalChatOptions extends object = object,
+> = LLMParamsBase<AI, AdditionalMessageOptions, AdditionalChatOptions> & {
  tools: BaseToolWithCall[];
 };

-type LLMParamsWithToolRetriever = LLMParamsBase & {
+type LLMParamsWithToolRetriever<
+  AI extends LLM,
+  AdditionalMessageOptions extends object = AI extends LLM<
+    object,
+    infer AdditionalMessageOptions
+  >
+    ? AdditionalMessageOptions
+    : never,
+  AdditionalChatOptions extends object = object,
+> = LLMParamsBase<AI, AdditionalMessageOptions, AdditionalChatOptions> & {
  toolRetriever: ObjectRetriever<BaseToolWithCall>;
 };

-export type LLMAgentParams = LLMParamsWithTools | LLMParamsWithToolRetriever;
+export type LLMAgentParams<
+  AI extends LLM,
+  AdditionalMessageOptions extends object = AI extends LLM<
+    object,
+    infer AdditionalMessageOptions
+  >
+    ? AdditionalMessageOptions
+    : never,
+  AdditionalChatOptions extends object = object,
+> =
+  | LLMParamsWithTools<AI, AdditionalMessageOptions, AdditionalChatOptions>
+  | LLMParamsWithToolRetriever<
+      AI,
+      AdditionalMessageOptions,
+      AdditionalChatOptions
+    >;

 export class LLMAgentWorker extends AgentWorker<LLM> {
  taskHandler = AgentRunner.defaultTaskHandler;
 }

 export class LLMAgent extends AgentRunner<LLM> {
-  constructor(params: LLMAgentParams) {
+  constructor(params: LLMAgentParams<LLM>) {
    validateAgentParams(params);
    const llm = params.llm ?? (Settings.llm ? (Settings.llm as LLM) : null);
    if (!llm)
@@ -19,6 +19,7 @@ export type AgentTaskContext<
  >
    ? AdditionalMessageOptions
    : never,
+  AdditionalChatOptions extends object = object,
 > = {
  readonly stream: boolean;
  readonly toolCallCount: number;
@@ -26,6 +27,7 @@ export type AgentTaskContext<
  readonly getTools: (
    input: MessageContent,
  ) => BaseToolWithCall[] | Promise<BaseToolWithCall[]>;
+  readonly additionalChatOptions: Partial<AdditionalChatOptions>;
  shouldContinue: (
    taskStep: Readonly<TaskStep<Model, Store, AdditionalMessageOptions>>,
  ) => boolean;
@@ -45,13 +47,26 @@ export type TaskStep<
  >
    ? AdditionalMessageOptions
    : never,
+  AdditionalChatOptions extends object = object,
 > = {
  id: UUID;
-  context: AgentTaskContext<Model, Store, AdditionalMessageOptions>;
+  context: AgentTaskContext<
+    Model,
+    Store,
+    AdditionalMessageOptions,
+    AdditionalChatOptions
+  >;

  // linked list
-  prevStep: TaskStep<Model, Store, AdditionalMessageOptions> | null;
-  nextSteps: Set<TaskStep<Model, Store, AdditionalMessageOptions>>;
+  prevStep: TaskStep<
+    Model,
+    Store,
+    AdditionalMessageOptions,
+    AdditionalChatOptions
+  > | null;
+  nextSteps: Set<
+    TaskStep<Model, Store, AdditionalMessageOptions, AdditionalChatOptions>
+  >;
 };

 export type TaskStepOutput<
@@ -63,8 +78,14 @@ export type TaskStepOutput<
  >
    ? AdditionalMessageOptions
    : never,
+  AdditionalChatOptions extends object = object,
 > = {
-  taskStep: TaskStep<Model, Store, AdditionalMessageOptions>;
+  taskStep: TaskStep<
+    Model,
+    Store,
+    AdditionalMessageOptions,
+    AdditionalChatOptions
+  >;
  // output shows the response to the user
  output:
    | ChatResponse<AdditionalMessageOptions>
@@ -81,10 +102,16 @@ export type TaskHandler<
  >
    ? AdditionalMessageOptions
    : never,
+  AdditionalChatOptions extends object = object,
 > = (
-  step: TaskStep<Model, Store, AdditionalMessageOptions>,
+  step: TaskStep<Model, Store, AdditionalMessageOptions, AdditionalChatOptions>,
  enqueueOutput: (
-    taskOutput: TaskStepOutput<Model, Store, AdditionalMessageOptions>,
+    taskOutput: TaskStepOutput<
+      Model,
+      Store,
+      AdditionalMessageOptions,
+      AdditionalChatOptions
+    >,
  ) => void,
 ) => Promise<void>;

@@ -16,14 +16,18 @@ export interface BaseChatEngineParams<

 export interface StreamingChatEngineParams<
  AdditionalMessageOptions extends object = object,
+  AdditionalChatOptions extends object = object,
 > extends BaseChatEngineParams<AdditionalMessageOptions> {
  stream: true;
+  chatOptions?: AdditionalChatOptions;
 }

 export interface NonStreamingChatEngineParams<
  AdditionalMessageOptions extends object = object,
+  AdditionalChatOptions extends object = object,
 > extends BaseChatEngineParams<AdditionalMessageOptions> {
  stream?: false;
+  chatOptions?: AdditionalChatOptions;
 }

 export abstract class BaseChatEngine {
@@ -1,5 +1,4 @@
-import { streamConverter } from "../utils";
-import { extractText } from "../utils/llms";
+import { extractText, streamConverter } from "../utils";
 import type {
  ChatResponse,
  ChatResponseChunk,
@@ -67,6 +66,8 @@ export abstract class BaseLLM<

 export abstract class ToolCallLLM<
  AdditionalChatOptions extends object = object,
-> extends BaseLLM<AdditionalChatOptions, ToolCallLLMMessageOptions> {
+  AdditionalMessageOptions extends
+    ToolCallLLMMessageOptions = ToolCallLLMMessageOptions,
+> extends BaseLLM<AdditionalChatOptions, AdditionalMessageOptions> {
  abstract supportToolCall: boolean;
 }
@@ -65,19 +65,21 @@ export abstract class BaseChatStoreMemory<
    super();
  }

-  getAllMessages(): ChatMessage<AdditionalMessageOptions>[] {
+  getAllMessages():
+    | ChatMessage<AdditionalMessageOptions>[]
+    | Promise<ChatMessage<AdditionalMessageOptions>[]> {
    return this.chatStore.getMessages(this.chatStoreKey);
  }

-  put(messages: ChatMessage<AdditionalMessageOptions>) {
+  put(messages: ChatMessage<AdditionalMessageOptions>): void | Promise<void> {
    this.chatStore.addMessage(this.chatStoreKey, messages);
  }

-  set(messages: ChatMessage<AdditionalMessageOptions>[]) {
+  set(messages: ChatMessage<AdditionalMessageOptions>[]): void | Promise<void> {
    this.chatStore.setMessages(this.chatStoreKey, messages);
  }

-  reset() {
+  reset(): void | Promise<void> {
    this.chatStore.deleteMessages(this.chatStoreKey);
  }
 }
@@ -33,11 +33,11 @@ export class ChatMemoryBuffer<
    }
  }

-  getMessages(
+  async getMessages(
    transientMessages?: ChatMessage<AdditionalMessageOptions>[] | undefined,
    initialTokenCount: number = 0,
  ) {
-    const messages = this.getAllMessages();
+    const messages = await this.getAllMessages();

    if (initialTokenCount > this.tokenLimit) {
      throw new Error("Initial token count exceeds token limit");
@@ -32,6 +32,10 @@ export abstract class BasePromptTemplate<
  const Vars extends readonly string[] = string[],
 > {
  metadata: Metadata = {};
+  /**
+   * Set of template variables used in the prompt template. Used for type hints only.
+   * To get the list of template variables used in the prompt at run-time, use the `vars` method.
+   */
  templateVars: Set<string> = new Set();
  options: Partial<Record<TemplatesVar[number] | (string & {}), string>> = {};
  outputParser: BaseOutputParser | undefined;
@@ -223,4 +227,13 @@ export class PromptTemplate<
  get template(): Template {
    return this.#template;
  }
+
+  /**
+   * Returns all the template variables used in the prompt template.
+   */
+  vars(): string[] {
+    const template = this.template;
+    const matches = template.match(/\{([^}]+)\}/g) || [];
+    return [...new Set(matches.map((match) => match.slice(1, -1)))];
+  }
 }
@@ -7,7 +7,11 @@ export abstract class BaseChatStore<
    key: string,
    messages: ChatMessage<AdditionalMessageOptions>[],
  ): void;
-  abstract getMessages(key: string): ChatMessage<AdditionalMessageOptions>[];
+  abstract getMessages(
+    key: string,
+  ):
+    | ChatMessage<AdditionalMessageOptions>[]
+    | Promise<ChatMessage<AdditionalMessageOptions>[]>;
  abstract addMessage(
    key: string,
    message: ChatMessage<AdditionalMessageOptions>,
@@ -15,5 +19,7 @@ export abstract class BaseChatStore<
  ): void;
  abstract deleteMessages(key: string): void;
  abstract deleteMessage(key: string, idx: number): void;
-  abstract getKeys(): IterableIterator<string>;
+  abstract getKeys():
+    | IterableIterator<string>
+    | Promise<IterableIterator<string>>;
 }
@@ -4,18 +4,12 @@ import { zodToJsonSchema } from "zod-to-json-schema";
 import type { JSONValue } from "../global";
 import type { BaseTool, ToolMetadata } from "../llms";

-const kOriginalFn = Symbol("originalFn");
-
 export class FunctionTool<T, R extends JSONValue | Promise<JSONValue>>
  implements BaseTool<T>
 {
-  [kOriginalFn]?: (input: T) => R;
-
  #fn: (input: T) => R;
-  #metadata: ToolMetadata<JSONSchemaType<T>>;
-  // todo: for the future, we can use zod to validate the input parameters
-  // eslint-disable-next-line no-unused-private-class-members
-  #zodType: z.ZodType<T> | null = null;
+  readonly #metadata: ToolMetadata<JSONSchemaType<T>>;
+  readonly #zodType: z.ZodType<T> | null = null;
  constructor(
    fn: (input: T) => R,
    metadata: ToolMetadata<JSONSchemaType<T>>,
@@ -32,6 +26,12 @@ export class FunctionTool<T, R extends JSONValue | Promise<JSONValue>>
    fn: (input: T) => JSONValue | Promise<JSONValue>,
    schema: ToolMetadata<JSONSchemaType<T>>,
  ): FunctionTool<T, JSONValue | Promise<JSONValue>>;
+  static from<R extends z.ZodType>(
+    fn: (input: z.infer<R>) => JSONValue | Promise<JSONValue>,
+    schema: Omit<ToolMetadata, "parameters"> & {
+      parameters: R;
+    },
+  ): FunctionTool<z.infer<R>, JSONValue | Promise<JSONValue>>;
  static from<T, R extends z.ZodType<T>>(
    fn: (input: T) => JSONValue | Promise<JSONValue>,
    schema: Omit<ToolMetadata, "parameters"> & {
@@ -40,15 +40,15 @@ export class FunctionTool<T, R extends JSONValue | Promise<JSONValue>>
  ): FunctionTool<T, JSONValue>;
  // eslint-disable-next-line @typescript-eslint/no-explicit-any
  static from(fn: any, schema: any): any {
-    if (schema.parameter instanceof z.ZodSchema) {
-      const jsonSchema = zodToJsonSchema(schema.parameter);
+    if (schema.parameters instanceof z.ZodSchema) {
+      const jsonSchema = zodToJsonSchema(schema.parameters);
      return new FunctionTool(
        fn,
        {
          ...schema,
          parameters: jsonSchema,
        },
-        schema.parameter,
+        schema.parameters,
      );
    }
    return new FunctionTool(fn, schema);
@@ -58,7 +58,15 @@ export class FunctionTool<T, R extends JSONValue | Promise<JSONValue>>
    return this.#metadata as BaseTool<T>["metadata"];
  }

-  call(input: T) {
+  call = (input: T) => {
+    if (this.#zodType) {
+      const result = this.#zodType.safeParse(input);
+      if (result.success) {
+        return this.#fn.call(null, result.data);
+      } else {
+        console.warn(result.error.errors);
+      }
+    }
    return this.#fn.call(null, input);
-  }
+  };
 }
@@ -76,6 +76,7 @@ export {
  extractText,
  imageToDataUrl,
  messagesToHistory,
+  MockLLM,
  toToolDescriptions,
 } from "./llms";

@@ -2,6 +2,15 @@ import { fs } from "@llamaindex/env";
 import { filetypemime } from "magic-bytes.js";
 import type {
  ChatMessage,
+  ChatResponse,
+  ChatResponseChunk,
+  CompletionResponse,
+  LLM,
+  LLMChatParamsNonStreaming,
+  LLMChatParamsStreaming,
+  LLMCompletionParamsNonStreaming,
+  LLMCompletionParamsStreaming,
+  LLMMetadata,
  MessageContent,
  MessageContentDetail,
  MessageContentTextDetail,
@@ -143,3 +152,82 @@ export async function imageToDataUrl(
  }
  return await blobToDataUrl(input);
 }
+
+export class MockLLM implements LLM {
+  metadata: LLMMetadata;
+  options: {
+    timeBetweenToken: number;
+    responseMessage: string;
+  };
+
+  constructor(options?: {
+    timeBetweenToken?: number;
+    responseMessage?: string;
+    metadata?: LLMMetadata;
+  }) {
+    this.options = {
+      timeBetweenToken: options?.timeBetweenToken ?? 20,
+      responseMessage: options?.responseMessage ?? "This is a mock response",
+    };
+    this.metadata = options?.metadata ?? {
+      model: "MockLLM",
+      temperature: 0.5,
+      topP: 0.5,
+      contextWindow: 1024,
+      tokenizer: undefined,
+    };
+  }
+
+  chat(
+    params: LLMChatParamsStreaming<object, object>,
+  ): Promise<AsyncIterable<ChatResponseChunk>>;
+  chat(
+    params: LLMChatParamsNonStreaming<object, object>,
+  ): Promise<ChatResponse<object>>;
+  async chat(
+    params:
+      | LLMChatParamsStreaming<object, object>
+      | LLMChatParamsNonStreaming<object, object>,
+  ): Promise<AsyncIterable<ChatResponseChunk> | ChatResponse<object>> {
+    const responseMessage = this.options.responseMessage;
+    const timeBetweenToken = this.options.timeBetweenToken;
+
+    if (params.stream) {
+      return (async function* () {
+        for (const char of responseMessage) {
+          yield { delta: char, raw: {} };
+          await new Promise((resolve) => setTimeout(resolve, timeBetweenToken));
+        }
+      })();
+    }
+
+    return {
+      message: { content: responseMessage, role: "assistant" },
+      raw: {},
+    };
+  }
+
+  async complete(
+    params: LLMCompletionParamsStreaming,
+  ): Promise<AsyncIterable<CompletionResponse>>;
+  async complete(
+    params: LLMCompletionParamsNonStreaming,
+  ): Promise<CompletionResponse>;
+  async complete(
+    params: LLMCompletionParamsStreaming | LLMCompletionParamsNonStreaming,
+  ): Promise<AsyncIterable<CompletionResponse> | CompletionResponse> {
+    const responseMessage = this.options.responseMessage;
+    const timeBetweenToken = this.options.timeBetweenToken;
+
+    if (params.stream) {
+      return (async function* () {
+        for (const char of responseMessage) {
+          yield { delta: char, text: char, raw: {} };
+          await new Promise((resolve) => setTimeout(resolve, timeBetweenToken));
+        }
+      })();
+    }
+
+    return { text: responseMessage, raw: {} };
+  }
+}
@@ -13,6 +13,8 @@ export type StepFunction<T extends WorkflowEvent = WorkflowEvent> = (

 type EventTypeParam = EventTypes | EventTypes[];

+let once = false;
+
 export class Workflow {
  #steps: Map<
    // eslint-disable-next-line @typescript-eslint/no-explicit-any
@@ -29,8 +31,20 @@ export class Workflow {
      verbose?: boolean;
      timeout?: number;
      validate?: boolean;
+      ignoreDeprecatedWarning?: boolean;
    } = {},
  ) {
+    if (!once && !params.ignoreDeprecatedWarning) {
+      console.warn(
+        "@llamaindex/core/workflow is going to use the new workflow API in the next major version.",
+        "Please update your imports to @llamaindex/workflow",
+      );
+      console.warn(
+        "See https://ts.llamaindex.ai/docs/llamaindex/guide/workflow for more information",
+      );
+      once = true;
+    }
+
    this.#verbose = params.verbose ?? false;
    this.#timeout = params.timeout ?? null;
    this.#validate = params.validate ?? false;
@@ -19,7 +19,7 @@ describe("ChatMemoryBuffer", () => {
    expect(buffer.tokenLimit).toBe(500);
  });

-  test("getMessages returns all messages when under token limit", () => {
+  test("getMessages returns all messages when under token limit", async () => {
    const messages: ChatMessage[] = [
      { role: "user", content: "Hello" },
      { role: "assistant", content: "Hi there!" },
@@ -30,11 +30,11 @@ describe("ChatMemoryBuffer", () => {
      chatHistory: messages,
    });

-    const result = buffer.getMessages();
+    const result = await buffer.getMessages();
    expect(result).toEqual(messages);
  });

-  test("getMessages truncates messages when over token limit", () => {
+  test("getMessages truncates messages when over token limit", async () => {
    const messages: ChatMessage[] = [
      { role: "user", content: "This is a long message" },
      { role: "assistant", content: "This is also a long reply" },
@@ -45,11 +45,11 @@ describe("ChatMemoryBuffer", () => {
      chatHistory: messages,
    });

-    const result = buffer.getMessages();
+    const result = await buffer.getMessages();
    expect(result).toEqual([{ role: "user", content: "Short" }]);
  });

-  test("getMessages handles input messages", () => {
+  test("getMessages handles input messages", async () => {
    const storedMessages: ChatMessage[] = [
      { role: "user", content: "Hello" },
      { role: "assistant", content: "Hi there!" },
@@ -62,13 +62,13 @@ describe("ChatMemoryBuffer", () => {
    const inputMessages: ChatMessage[] = [
      { role: "user", content: "New message" },
    ];
-    const result = buffer.getMessages(inputMessages);
+    const result = await buffer.getMessages(inputMessages);
    expect(result).toEqual([...inputMessages, ...storedMessages]);
  });

  test("getMessages throws error when initial token count exceeds limit", () => {
    const buffer = new ChatMemoryBuffer({ tokenLimit: 10 });
-    expect(() => buffer.getMessages(undefined, 20)).toThrow(
+    expect(async () => buffer.getMessages(undefined, 20)).rejects.toThrow(
      "Initial token count exceeds token limit",
    );
  });
@@ -7,6 +7,6 @@
  },
  "devDependencies": {
    "@llamaindex/core": "workspace:*",
-    "vitest": "^2.1.4"
+    "vitest": "^2.1.5"
  }
 }
@@ -158,4 +158,15 @@ describe("PromptTemplate", () => {
    const formatted = prompt.format({ text: "world", foo: "bar" });
    expect(formatted).toBe("hello world bar\noutput_instruction");
  });
+
+  test("should return all unique template vars of a prompt", () => {
+    const prompt = new PromptTemplate({
+      template: "Hello {name}! Your age is {age}. Nice to meet you {name}!",
+    });
+
+    const vars = prompt.vars();
+    expect(vars).toHaveLength(2);
+    expect(vars).toContain("name");
+    expect(vars).toContain("age");
+  });
 });
@@ -1,5 +1,31 @@
 # @llamaindex/env

+## 0.1.23
+
+### Patch Changes
+
+- d2b2722: fix: switch tokenizer in cloudflare
+
+## 0.1.22
+
+### Patch Changes
+
+- 969365c: fix: async local storage on cloudflare worker
+
+## 0.1.21
+
+### Patch Changes
+
+- 90d265c: chore: bump version
+
+## 0.1.20
+
+### Patch Changes
+
+- 4fc001c: chore: bump `@huggingface/transformers`
+
+  Upgrade to v3, please read https://github.com/huggingface/transformers.js/releases/tag/3.0.0 for more information.
+
 ## 0.1.19

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/env",
  "description": "environment wrapper, supports all JS environment including node, deno, bun, edge runtime, and cloudflare worker",
-  "version": "0.1.19",
+  "version": "0.1.23",
  "type": "module",
  "types": "dist/index.d.ts",
  "module": "dist/index.js",
@@ -122,17 +122,17 @@
    "test": "vitest"
  },
  "devDependencies": {
+    "@huggingface/transformers": "^3.0.2",
    "@types/node": "^22.9.0",
    "@types/readable-stream": "^4.0.15",
-    "@xenova/transformers": "^2.17.2",
    "bunchee": "5.6.1",
-    "gpt-tokenizer": "^2.6.0",
+    "gpt-tokenizer": "^2.6.2",
    "pathe": "^1.1.2",
-    "vitest": "^2.1.4"
+    "vitest": "^2.1.5"
  },
  "peerDependencies": {
    "@aws-crypto/sha256-js": "^5.2.0",
-    "@xenova/transformers": "^2.17.2",
+    "@huggingface/transformers": "^3.0.2",
    "gpt-tokenizer": "^2.5.0",
    "js-tiktoken": "^1.0.12",
    "pathe": "^1.1.2"
@@ -141,7 +141,7 @@
    "@aws-crypto/sha256-js": {
      "optional": true
    },
-    "@xenova/transformers": {
+    "@huggingface/transformers": {
      "optional": true
    },
    "pathe": {
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
github-actions[bot]	c4800bcf82	Release @llamaindex/vercel@0.0.2 (#1535 )	2024-12-02 14:19:40 +07:00
Thuc Pham	fd38a253b7	feat: add vercel chat example (#1532 ) Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>	2024-12-02 13:56:28 +07:00
github-actions[bot]	510191cb5d	Release 0.8.24 (#1531 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-30 06:05:47 -08:00
Jingyi Zhao	7934ade092	fix: add obsidian reader to index (#1533 )	2024-11-30 01:29:45 -08:00
Jingyi Zhao	a6c1eab762	feat: data connector for obsidian note taking app (#1529 )	2024-11-29 22:39:59 -08:00
crisjy	515f2c1e3d	feat: add AzureCosmosDBMongoVectorStore (#1528 )	2024-11-28 17:53:09 -08:00
github-actions[bot]	dc85649ead	Release 0.8.23 (#1526 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-26 17:41:29 -08:00
Alex Yang	d2b2722a30	fix: switch tokenizer in cloudflare (#1525 )	2024-11-26 15:42:20 -08:00
github-actions[bot]	a2bbd62399	Release 0.8.22 (#1520 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-21 23:17:45 -08:00
Alex Yang	969365ca0a	feat: add cloudflare worker full example (#1521 )	2024-11-21 23:05:40 -08:00
fatmelon	819af453d6	feat: add Azure CosmosDB Mongo vCore Chat store (#1516 ) Co-authored-by: root <root@CPC-yangq-FRSGK>	2024-11-21 21:25:41 -08:00
github-actions[bot]	9db36f7384	Release 0.8.21 (#1513 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-19 18:18:35 -08:00
fatmelon	efa221116f	feat: integrate with azure cosmos db mongo vCore (#1500 ) Co-authored-by: root <root@CPC-yangq-FRSGK> Co-authored-by: Alex Yang <himself65@outlook.com>	2024-11-19 17:58:25 -08:00
Alex Yang	83c3897539	fix: pinecone vector store (#1512 )	2024-11-19 17:51:45 -08:00
github-actions[bot]	e1cbce1f80	Release 0.8.20 (#1511 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-19 10:01:18 -08:00
Madarco	02b22da384	fix: supports vercel bundling (#1509 ) Co-authored-by: Alex Yang <himself65@outlook.com>	2024-11-19 09:52:56 -08:00
github-actions[bot]	0aa61db547	Release 0.8.19 (#1507 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-19 00:01:48 -08:00
Alex Yang	90d265cf47	chore: bump version (#1505 )	2024-11-18 18:39:13 -08:00
github-actions[bot]	fc2d5ea1cd	Release 0.8.18 (#1506 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-18 13:08:32 -08:00
Thuc Pham	ef4f63d9f4	refactor: move mockLLM to core (#1493 ) Co-authored-by: Alex Yang <himself65@outlook.com>	2024-11-18 11:39:46 -08:00
Thuc Pham	d17450fdfb	fix: next.js 15 compatibility (#1474 ) Co-authored-by: Alex Yang <himself65@outlook.com>	2024-11-18 11:34:05 -08:00
github-actions[bot]	805d2b0d55	Release 0.8.17 (#1504 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-18 10:28:15 -08:00
Marcus Schiesser	6d22fa2a50	feat: Get PromptTemplate template variables at run-time (#1502 )	2024-11-18 09:34:26 -08:00
Aman Rao	16f0068175	chore: update azure cosmos db no sql vector store (#1503 )	2024-11-18 09:33:20 -08:00
github-actions[bot]	1054c3382a	Release 0.8.16 (#1499 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-17 22:28:02 -08:00
Alex Yang	e60328b086	fix: import error in cjs (#1498 )	2024-11-17 22:24:09 -08:00
Laurie Voss	3371dfb89f	Syncing footer to match main site (#1496 )	2024-11-16 00:43:44 -08:00
github-actions[bot]	2065a16a07	Release 0.8.15 (#1494 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-15 11:27:52 -08:00
Wassim Chegham	5dae534f8d	fix: propagate queryStr to concrete vectorStore (#1495 ) Co-authored-by: Alex Yang <himself65@outlook.com>	2024-11-15 11:16:32 -08:00
Aman Rao	3d503cb810	chore: update azure cosmos db (#1484 ) Co-authored-by: Alex Yang <himself65@outlook.com>	2024-11-15 00:55:32 -08:00
Thuc Pham	daf8522bec	feat: use mock llm (#1492 )	2024-11-15 14:50:49 +08:00
github-actions[bot]	223f3136b4	Release 0.8.14 (#1491 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-14 21:49:37 -08:00
Thuc Pham	c6bad7d951	docs(next): chat UI with rsc example (#1481 ) Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>	2024-11-14 21:33:30 -08:00
Aman Rao	630b425545	feat: add Azure CosmosDB NoSql Chat store (#1490 ) Co-authored-by: Alex Yang <himself65@outlook.com>	2024-11-14 21:30:55 -08:00
github-actions[bot]	4c7b891446	Release 0.8.13 (#1480 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: himself65 <himself65@users.noreply.github.com>	2024-11-14 18:25:19 -08:00
Alex Yang	a9c5b4899b	docs: update docusaurus.config.js (#1489 )	2024-11-14 17:36:52 -08:00
Alex Yang	a7b0ac3cb7	feat(anthropic): support prompt caching (#1488 )	2024-11-14 17:35:21 -08:00
Alex Yang	a7540ff47b	docs: update (#1486 )	2024-11-14 15:46:48 -08:00
Aman Rao	c69605f406	feat: add async support to BaseChatStore and BaseChatStoreMemory (#1483 ) Co-authored-by: Alex Yang <himself65@outlook.com>	2024-11-14 13:45:50 -08:00
Alex Yang	ee20c44d9b	feat(workflow): allow send event with no output (#1479 )	2024-11-14 00:17:53 -08:00
Alex Yang	1d470363df	docs: add banner for legacy (#1478 )	2024-11-13 18:16:13 -08:00
github-actions[bot]	b39f40dbd8	Release (#1477 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: himself65 <himself65@users.noreply.github.com>	2024-11-13 01:25:40 -08:00
Alex Yang	fadc8b8ea0	feat: recoverable data with error handling (#1476 )	2024-11-13 01:15:50 -08:00
Alex Yang	ea92b6986d	chore: update changeset	2024-11-13 01:15:28 -08:00
Alex Yang	17f9022d22	fix: output event check (#1475 )	2024-11-13 00:46:35 -08:00
github-actions[bot]	14792cd8b4	Release 0.8.12 (#1473 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-12 16:20:25 -08:00
Alex Yang	7ae6eaa0a2	chore: update changeset	2024-11-12 12:49:17 -08:00
Alex Yang	dbb5bd9f23	feat: allow `tool_choice` for OpenAIAgent (#1472 )	2024-11-12 12:46:57 -08:00
github-actions[bot]	aacd606204	Release 0.8.11 (#1471 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-12 11:49:22 -08:00
Alex Yang	f865c984d3	feat: async get message on chat store (#1470 )	2024-11-12 10:59:44 -08:00
github-actions[bot]	7b10882d06	Release 0.8.10 (#1466 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: himself65 <himself65@users.noreply.github.com>	2024-11-11 14:19:46 -08:00
Alex Yang	f066e50482	feat: vllm support (#1468 )	2024-11-11 13:14:08 -08:00
Alex Yang	fd8c882792	refactor: migrate example to new workflow API (#1467 )	2024-11-11 12:03:38 -08:00
Alex Yang	d89ebe0261	chore: update changeset	2024-11-11 10:11:04 -08:00
Alex Yang	968feb32cd	feat: better input type for function tool with `zod` (#1464 )	2024-11-11 10:10:03 -08:00
Alex Yang	43f6f56c5b	docs(next): fix turbo.json (#1465 )	2024-11-11 10:07:12 -08:00
github-actions[bot]	b2364dc5ba	Release 0.8.9 (#1460 ) Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2024-11-10 23:32:41 -08:00
Alex Yang	67f4db8501	fix: steaming chat in ollama (#1463 )	2024-11-10 23:27:09 -08:00
Alex Yang	e4151a8b02	feat: support ollama agent (#1462 )	2024-11-10 22:38:40 -08:00
Alex Yang	4d4cd8ac6b	feat: support ollama tool call (#1461 )	2024-11-10 20:46:46 -08:00
Alex Yang	4fc001c8de	chore: bump `@huggingface/transformers` (#1459 )	2024-11-10 20:14:44 -08:00
Alex Yang	cf675bdc7a	chore: bump version (#1458 )	2024-11-10 16:43:45 -08:00