Release 0.9.10 (#1728 )

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: marcusschiesser <17126+marcusschiesser@users.noreply.github.com>
feat: Add factory convenience factory for each LLM provider, e.g. you… (#1731 )
2026-07-15 14:55:41 -04:00 · 2025-03-11 13:47:43 +07:00 · 2025-03-11 13:42:09 +07:00 · 2025-03-11 12:57:13 +07:00 · 2025-03-11 11:06:21 +07:00 · 2025-03-10 18:08:28 +07:00
200 changed files with 2565 additions and 1026 deletions
@@ -1,5 +1,21 @@
 # @llamaindex/doc

+## 0.1.10
+
+### Patch Changes
+
+- Updated dependencies [aea550a]
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - @llamaindex/openai@0.1.60
+  - llamaindex@0.9.10
+  - @llamaindex/workflow@0.0.16
+  - @llamaindex/core@0.5.8
+  - @llamaindex/cloud@3.0.9
+  - @llamaindex/node-parser@1.0.8
+  - @llamaindex/readers@2.0.8
+
 ## 0.1.9

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/doc",
-  "version": "0.1.9",
+  "version": "0.1.10",
  "private": true,
  "scripts": {
    "postinstall": "fumadocs-mdx",
@@ -51,7 +51,6 @@
    "react-dom": "^19.0.0",
    "react-icons": "^5.3.0",
    "react-monaco-editor": "^0.56.2",
-    "react-text-transition": "^3.1.0",
    "react-use-measure": "^2.1.1",
    "rehype-katex": "^7.0.1",
    "remark-math": "^6.0.0",
@@ -4,4 +4,8 @@ import { updateLlamaCloud } from "./update-llamacloud.mjs";

 env.loadEnvConfig(process.cwd());

-await updateLlamaCloud();
+if (process.env.VERCEL_ENV === "production") {
+  updateLlamaCloud().catch((error) => {
+    console.error(error);
+  });
+}
@@ -2,6 +2,7 @@ import { rehypeCodeDefaultOptions } from "fumadocs-core/mdx-plugins";
 import { fileGenerator, remarkDocGen, remarkInstall } from "fumadocs-docgen";
 import { defineConfig, defineDocs } from "fumadocs-mdx/config";
 import { transformerTwoslash } from "fumadocs-twoslash";
+import { createFileSystemTypesCache } from "fumadocs-twoslash/cache-fs";
 import rehypeKatex from "rehype-katex";
 import remarkMath from "remark-math";

@@ -20,7 +21,11 @@ export default defineConfig({
      },
      transformers: [
        ...(rehypeCodeDefaultOptions.transformers ?? []),
-        transformerTwoslash(),
+        transformerTwoslash({
+          typesCache: createFileSystemTypesCache({
+            dir: ".next/cache/twoslash",
+          }),
+        }),
        {
          name: "transformers:remove-notation-escape",
          code(hast) {
@@ -8,7 +8,7 @@ import {
 } from "@/components/infinite-providers";
 import { MagicMove } from "@/components/magic-move";
 import { NpmInstall } from "@/components/npm-install";
-import { TextEffect } from "@/components/text-effect";
+import { Supports } from "@/components/supports";
 import { Button } from "@/components/ui/button";
 import { Skeleton } from "@/components/ui/skeleton";
 import { LEGACY_DOCUMENT_URL } from "@/lib/const";
@@ -24,18 +24,18 @@ import { Suspense } from "react";
 export default function HomePage() {
  return (
    <main className="container mx-auto px-4 py-12">
-      <h1 className="text-4xl md:text-6xl font-bold text-center mb-4">
+      <h1 className="mb-4 text-center text-4xl font-bold md:text-6xl">
        Build context-augmented web apps using
        <br /> <span className="text-blue-500">LlamaIndex.TS</span>
      </h1>
-      <p className="text-xl text-center text-fd-muted-foreground mb-12 ">
+      <p className="text-fd-muted-foreground mb-12 text-center text-xl">
        LlamaIndex.TS is the JS/TS version of{" "}
        <a href="https://llamaindex.ai">LlamaIndex</a>, the framework for
        building agentic generative AI applications connected to your data.
      </p>
-      <div className="text-center text-lg text-fd-muted-foreground mb-12">
+      <div className="text-fd-muted-foreground mb-12 text-center text-lg">
        <span>Designed for building web applications in </span>
-        <TextEffect />
+        <Supports />
      </div>

      <div className="flex flex-wrap justify-center gap-4">
@@ -125,19 +125,20 @@ const response = await agent.chat({
          description="Truly powerful retrieval-augmented generation applications use agentic techniques, and LlamaIndex.TS makes it easy to build them."
        >
          <CodeBlock
-            code={`import { FunctionTool } from "llamaindex";
-import { OpenAIAgent } from "@llamaindex/openai";
+            code={`import { agent } from "llamaindex";
+import { OpenAI } from "@llamaindex/openai";

-const interpreterTool = FunctionTool.from(...);
-const systemPrompt = \`...\`;
+// using a previously created LlamaIndex index to query information from
+const queryTool = index.queryTool();

-const agent = new OpenAIAgent({
-  llm,
-  tools: [interpreterTool],
-  systemPrompt,
+const agent = agent({
+  llm: new OpenAI({
+    model: "gpt-4o",
+  }),
+  tools: [queryTool],
 });

-await agent.chat('...');`}
+await agent.run('...');`}
            lang="ts"
          />
        </Feature>
@@ -149,13 +150,13 @@ await agent.chat('...');`}
        >
          <div className="mt-8 flex flex-col gap-8">
            <div>
-              <h3 className="text-lg font-semibold text-fd-muted-foreground mb-2">
+              <h3 className="text-fd-muted-foreground mb-2 text-lg font-semibold">
                LLMs
              </h3>
              <InfiniteLLMProviders />
            </div>
            <div>
-              <h3 className="text-lg font-semibold text-fd-muted-foreground mb-2">
+              <h3 className="text-fd-muted-foreground mb-2 text-lg font-semibold">
                Vector Stores
              </h3>
              <InfiniteVectorStoreProviders />
@@ -13,6 +13,8 @@ import { notFound } from "next/navigation";

 const { AutoTypeTable } = createTypeTable();

+export const revalidate = false;
+
 export default async function Page(props: {
  params: Promise<{ slug?: string[] }>;
 }) {
@@ -26,6 +28,7 @@ export default async function Page(props: {
    <DocsPage
      toc={page.data.toc}
      full={page.data.full}
+      lastUpdate={page.data.lastModified}
      editOnGithub={{
        owner: "run-llama",
        repo: "LlamaIndexTS",
@@ -22,7 +22,7 @@ export default function Layout({ children }: { children: ReactNode }) {
                variant: "secondary",
                size: "xs",
                className:
-                  "md:flex-1 px-2 ms-2 gap-1.5 text-fd-muted-foreground rounded-full",
+                  "text-fd-muted-foreground ms-2 gap-1.5 rounded-full px-2 md:flex-1",
              }),
            )}
          >
@@ -32,7 +32,7 @@ export default function Layout({ children }: { children: ReactNode }) {
          href="/favicon-16x16.png"
        />
      </head>
-      <body className="flex flex-col min-h-screen">
+      <body className="flex min-h-screen flex-col">
        <TooltipProvider>
          <AIProvider>
            <RootProvider>{children}</RootProvider>
@@ -0,0 +1,62 @@
+import fg from "fast-glob";
+import { fileGenerator, remarkDocGen, remarkInstall } from "fumadocs-docgen";
+import { remarkInclude } from "fumadocs-mdx/config";
+import { remarkAutoTypeTable } from "fumadocs-typescript";
+import matter from "gray-matter";
+import * as fs from "node:fs/promises";
+import path from "node:path";
+import { remark } from "remark";
+import remarkGfm from "remark-gfm";
+import remarkMdx from "remark-mdx";
+import remarkStringify from "remark-stringify";
+
+export const revalidate = false;
+
+export async function GET() {
+  const files = await fg([
+    "./src/content/docs/**/*.mdx",
+    // remove generated openapi files
+    "!./src/content/docs/cloud/api/**/*",
+  ]);
+
+  const scan = files.map(async (file) => {
+    const fileContent = await fs.readFile(file);
+    const { content, data } = matter(fileContent.toString());
+
+    const dir = path.dirname(file).split(path.sep).at(4);
+    const category = {
+      llamaindex: "LlamaIndexTS Framework",
+      api: "LlamaIndexTS API",
+      cloud: "LlamaCloud Service",
+    }[dir ?? ""];
+
+    const processed = await processContent(file, content);
+    return `file: ${file}
+# ${category}: ${data.title}
+
+${data.description}
+        
+${processed}`;
+  });
+
+  const scanned = await Promise.all(scan);
+
+  return new Response(scanned.join("\n\n"));
+}
+
+async function processContent(path: string, content: string): Promise<string> {
+  const file = await remark()
+    .use(remarkMdx)
+    .use(remarkInclude)
+    .use(remarkGfm)
+    .use(remarkAutoTypeTable)
+    .use(remarkDocGen, { generators: [fileGenerator()] })
+    .use(remarkInstall, { persist: { id: "package-manager" } })
+    .use(remarkStringify)
+    .process({
+      path,
+      value: content,
+    });
+
+  return String(file);
+}
@@ -45,13 +45,13 @@ export const AITrigger = (props: AITriggerProps) => {
    <Dialog>
      <DialogTrigger {...props} />
      <DialogPortal>
-        <DialogOverlay className="fixed inset-0 z-50 bg-fd-background/50 backdrop-blur-sm data-[state=closed]:animate-fd-fade-out data-[state=open]:animate-fd-fade-in" />
+        <DialogOverlay className="bg-fd-background/50 data-[state=closed]:animate-fd-fade-out data-[state=open]:animate-fd-fade-in fixed inset-0 z-50 backdrop-blur-sm" />
        <DialogContent
          onOpenAutoFocus={(e) => {
            document.getElementById("nd-ai-input")?.focus();
            e.preventDefault();
          }}
-          className="fixed left-1/2 z-50 my-[5vh] flex max-h-[90dvh] w-[98vw] max-w-[860px] origin-left -translate-x-1/2 flex-col rounded-lg border bg-fd-popover text-fd-popover-foreground shadow-lg focus-visible:outline-none data-[state=closed]:animate-fd-dialog-out data-[state=open]:animate-fd-dialog-in"
+          className="bg-fd-popover text-fd-popover-foreground data-[state=closed]:animate-fd-dialog-out data-[state=open]:animate-fd-dialog-in fixed left-1/2 z-50 my-[5vh] flex max-h-[90dvh] w-[98vw] max-w-[860px] origin-left -translate-x-1/2 flex-col rounded-lg border shadow-lg focus-visible:outline-none"
        >
          <DialogHeader>
            <DialogTitle className="sr-only">Search AI</DialogTitle>
@@ -67,11 +67,11 @@ export const AITrigger = (props: AITriggerProps) => {
              </AlertDescription>
            </Alert>
          </DialogHeader>
-          <div className="overflow-scroll flex-grow mt-4">
+          <div className="mt-4 flex-grow overflow-scroll">
            <ChatList messages={messages} />
          </div>
          <form
-            className="px-4 py-2 space-y-4"
+            className="space-y-4 px-4 py-2"
            action={async () => {
              const value = inputValue.trim();
              setInputValue("");
@@ -102,7 +102,7 @@ export const AITrigger = (props: AITriggerProps) => {
              }
            }}
          >
-            <div className="flex flex-row w-full items-center gap-2">
+            <div className="flex w-full flex-row items-center gap-2">
              <Textarea
                tabIndex={0}
                placeholder="Ask AI about documentation."
@@ -10,7 +10,7 @@ export function Contributing(): ReactElement {
      <h2 className="mb-4 text-xl font-semibold sm:text-2xl">
        Made possible by you <Heart className="inline align-middle" />
      </h2>
-      <p className="mb-4 text-fd-muted-foreground">
+      <p className="text-fd-muted-foreground mb-4">
        LlamaIndex.TS is powered by the open source community.
      </p>
      <div className="mb-8 flex flex-row items-center gap-2">
@@ -33,7 +33,7 @@ export default async function ContributorCounter({
            href={`https://github.com/${contributor.login}`}
            rel="noreferrer noopener"
            target="_blank"
-            className="size-10 overflow-hidden rounded-full border-4 border-fd-background bg-fd-background md:-mr-4 md:size-12"
+            className="border-fd-background bg-fd-background size-10 overflow-hidden rounded-full border-4 md:-mr-4 md:size-12"
            style={{
              zIndex: topContributors.length - i,
            }}
@@ -48,7 +48,7 @@ export default async function ContributorCounter({
          </a>
        ))}
        {displayCount < contributors.length ? (
-          <div className="size-12 content-center rounded-full bg-fd-secondary text-center">
+          <div className="bg-fd-secondary size-12 content-center rounded-full text-center">
            +{contributors.length - displayCount}
          </div>
        ) : null}
@@ -83,7 +83,7 @@ export function CreateAppAnimation(): React.ReactElement {
      }}
    >
      {tick > timeWindowOpen && (
-        <LaunchAppWindow className="absolute bottom-5 right-4 z-10 animate-in fade-in slide-in-from-top-10" />
+        <LaunchAppWindow className="animate-in fade-in slide-in-from-top-10 absolute bottom-5 right-4 z-10" />
      )}
      <pre className="overflow-hidden rounded-xl border text-xs">
        <div className="flex flex-row items-center gap-2 border-b px-4 py-2">
@@ -92,7 +92,7 @@ export function CreateAppAnimation(): React.ReactElement {
          <div className="grow" />
          <div className="size-2 rounded-full bg-red-400" />
        </div>
-        <div className="min-h-[200px] bg-gradient-to-b from-fd-secondary [mask-image:linear-gradient(to_bottom,white,transparent)]">
+        <div className="from-fd-secondary min-h-[200px] bg-gradient-to-b [mask-image:linear-gradient(to_bottom,white,transparent)]">
          <code className="grid p-4">{lines}</code>
        </div>
      </pre>
@@ -103,7 +103,7 @@ export function CreateAppAnimation(): React.ReactElement {
 function UserMessage({ children }: { children: ReactNode }) {
  return (
    <div className="group relative flex items-start">
-      <div className="flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border shadow-sm bg-background">
+      <div className="bg-background flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border shadow-sm">
        <IconUser />
      </div>
      <div className="ml-4 flex-1 space-y-2 overflow-hidden px-1">
@@ -122,7 +122,7 @@ function BotMessage({
 }) {
  return (
    <div className={cn("group relative flex items-start", className)}>
-      <div className="flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border shadow-sm bg-primary text-primary-foreground">
+      <div className="bg-primary text-primary-foreground flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border shadow-sm">
        <IconAI />
      </div>
      <div className="ml-4 flex-1 space-y-2 overflow-hidden px-1">
@@ -164,7 +164,7 @@ export function ChatExample() {

  return (
    <div className="max-w-64">
-      <div className="flex flex-col px-4 gap-2">
+      <div className="flex flex-col gap-2 px-4">
        {userMessageLength === userMessageFull.length && (
          <UserMessage>
            <span>{userMessageFull}</span>
@@ -204,11 +204,11 @@ function LaunchAppWindow(
    <div
      {...props}
      className={cn(
-        "overflow-hidden rounded-md border bg-fd-background shadow-xl",
+        "bg-fd-background overflow-hidden rounded-md border shadow-xl",
        props.className,
      )}
    >
-      <div className="relative flex h-6 flex-row items-center border-b bg-fd-muted px-4 text-xs text-fd-muted-foreground">
+      <div className="bg-fd-muted text-fd-muted-foreground relative flex h-6 flex-row items-center border-b px-4 text-xs">
        <p className="absolute inset-x-0 text-center">localhost:8080</p>
      </div>
      <div className="p-4 text-sm">
@@ -57,7 +57,7 @@ export const IDE = () => {
  const maxChars = useSlider();
  const useSetMaxChars = useSetSlider();
  return (
-    <div className="flex flex-col p-4 border-r max-h-96 overflow-scroll">
+    <div className="flex max-h-96 flex-col overflow-scroll border-r p-4">
      <div>
        <Label>Max Chars {maxChars}</Label>
        <Slider
@@ -113,7 +113,7 @@ const Preview = ({ text }: { text: string }) => {
      },
    },
  });
-  return <CodeBlock className="py-0 m-2">{rendered}</CodeBlock>;
+  return <CodeBlock className="m-2 py-0">{rendered}</CodeBlock>;
 };

 function ScrollToBottom() {
@@ -122,7 +122,7 @@ function ScrollToBottom() {
  return (
    !isAtBottom && (
      <button
-        className="absolute i-ph-arrow-circle-down-fill text-4xl rounded-lg left-[50%] translate-x-[-50%] bottom-0"
+        className="i-ph-arrow-circle-down-fill absolute bottom-0 left-[50%] translate-x-[-50%] rounded-lg text-4xl"
        onClick={() => scrollToBottom()}
      />
    )
@@ -136,7 +136,7 @@ export const NodePreview = () => {
  const textChunks = useMemo(() => parser.splitText(code), [code, maxChars]);
  return (
    <StickToBottom
-      className="block relative max-h-96 overflow-scroll"
+      className="relative block max-h-96 overflow-scroll"
      resize="smooth"
      initial="smooth"
    >
@@ -154,7 +154,7 @@ export const CodeNodeParserDemo = () => {
  const isClient = useIsClient();
  if (!isClient) {
    return (
-      <div className="my-2 grid grid-cols-1 md:grid-cols-2 gap-2 border rounded-xl w-full max-h-96">
+      <div className="my-2 grid max-h-96 w-full grid-cols-1 gap-2 rounded-xl border md:grid-cols-2">
        <Skeleton className="h-96" />
        <Skeleton className="h-96" />
      </div>
@@ -165,13 +165,13 @@ export const CodeNodeParserDemo = () => {
      <CodeProvider>
        <Suspense
          fallback={
-            <div className="my-2 grid grid-cols-1 md:grid-cols-2 gap-2 border rounded-xl w-full max-h-96">
+            <div className="my-2 grid max-h-96 w-full grid-cols-1 gap-2 rounded-xl border md:grid-cols-2">
              <Skeleton className="h-96" />
              <Skeleton className="h-96" />
            </div>
          }
        >
-          <div className="my-2 grid grid-cols-1 md:grid-cols-2 gap-2 border rounded-xl w-full max-h-96">
+          <div className="my-2 grid max-h-96 w-full grid-cols-1 gap-2 rounded-xl border md:grid-cols-2">
            <IDE />
            <NodePreview />
          </div>
@@ -75,7 +75,7 @@ function ScrollToBottom() {
  return (
    !isAtBottom && (
      <button
-        className="absolute i-ph-arrow-circle-down-fill text-4xl rounded-lg left-[50%] translate-x-[-50%] bottom-0"
+        className="i-ph-arrow-circle-down-fill absolute bottom-0 left-[50%] translate-x-[-50%] rounded-lg text-4xl"
        onClick={() => scrollToBottom()}
      />
    )
@@ -91,9 +91,9 @@ export function WorkflowStreamingDemo() {
  const [total, setTotal] = useState<number>(10);

  return (
-    <div className="flex flex-col items-start w-full gap-2">
-      <div className="flex flex-row justify-center items-center">
-        <div className="text-lg mr-2">Compute total</div>{" "}
+    <div className="flex w-full flex-col items-start gap-2">
+      <div className="flex flex-row items-center justify-center">
+        <div className="mr-2 text-lg">Compute total</div>{" "}
        <FlowInput value={total} onChange={(value) => setTotal(value)} />
      </div>
      <Button
@@ -141,7 +141,7 @@ export function WorkflowStreamingDemo() {
      >
        Start Workflow
      </Button>
-      <StickToBottom className="w-full flex flex-col gap-2 p-2 border border-gray-200 rounded-lg max-h-96 overflow-y-auto">
+      <StickToBottom className="flex max-h-96 w-full flex-col gap-2 overflow-y-auto rounded-lg border border-gray-200 p-2">
        <StickToBottom.Content className="flex flex-col gap-2">
          {ui}
        </StickToBottom.Content>
@@ -20,7 +20,7 @@ export function Feature({
      className={cn("border-l border-t px-6 py-12 md:py-16", className)}
      {...props}
    >
-      <div className="mb-4 inline-flex items-center gap-2 text-sm font-medium text-fd-muted-foreground">
+      <div className="text-fd-muted-foreground mb-4 inline-flex items-center gap-2 text-sm font-medium">
        <Icon className="size-4" />
        <p>{subheading}</p>
      </div>
@@ -60,7 +60,7 @@ export default function FlowInput({
          className={clsx(
            showCaret ? "caret-primary" : "caret-transparent",
            "spin-hide w-[1.5em] bg-transparent py-2 text-center font-[inherit] text-transparent outline-none",
-            "[appearance:textfield] [&::-webkit-outer-spin-button]:appearance-none [&::-webkit-inner-spin-button]:appearance-none",
+            "[appearance:textfield] [&::-webkit-inner-spin-button]:appearance-none [&::-webkit-outer-spin-button]:appearance-none",
          )}
          // Make sure to disable kerning, to match NumberFlow:
          style={{ fontKerning: "none" }}
@@ -8,7 +8,7 @@ import { IconAI, IconUser } from "./ui/icons";
 export function UserMessage({ children }: { children: ReactNode }) {
  return (
    <div className="group relative flex items-start">
-      <div className="flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border shadow-sm bg-background">
+      <div className="bg-background flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border shadow-sm">
        <IconUser />
      </div>
      <div className="ml-4 flex-1 space-y-2 overflow-hidden px-1">
@@ -54,7 +54,7 @@ export function BotCard({
    <div className="group relative flex items-start md:-ml-12">
      <div
        className={cn(
-          "flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border shadow-sm bg-primary text-primary-foreground",
+          "bg-primary text-primary-foreground flex h-8 w-8 shrink-0 select-none items-center justify-center rounded-md border shadow-sm",
          !showAvatar && "invisible",
        )}
      >
@@ -25,7 +25,7 @@ export const NpmInstall = () => {
      className="flex flex-row items-center justify-center"
    >
      <code className="mr-2">$ npm i llamaindex</code>
-      <div className="relative cursor-pointer bg-transparent w-4 h-4">
+      <div className="relative h-4 w-4 cursor-pointer bg-transparent">
        <div
          className={`absolute inset-0 transform transition-all duration-300 ${
            hasCheckIcon ? "scale-0 opacity-0" : "scale-100 opacity-100"
@@ -0,0 +1,268 @@
+import { cn } from "@/lib/utils";
+import {
+  AnimatePresence,
+  motion,
+  Transition,
+  type AnimationControls,
+  type Target,
+  type TargetAndTransition,
+  type VariantLabels,
+} from "framer-motion";
+import React, {
+  forwardRef,
+  useCallback,
+  useEffect,
+  useImperativeHandle,
+  useMemo,
+  useState,
+} from "react";
+
+export interface RotatingTextRef {
+  next: () => void;
+  previous: () => void;
+  jumpTo: (index: number) => void;
+  reset: () => void;
+}
+
+export interface RotatingTextProps
+  extends Omit<
+    React.ComponentPropsWithoutRef<typeof motion.span>,
+    "children" | "transition" | "initial" | "animate" | "exit"
+  > {
+  texts: string[];
+  transition?: Transition;
+  initial?: boolean | Target | VariantLabels;
+  animate?: boolean | VariantLabels | AnimationControls | TargetAndTransition;
+  exit?: Target | VariantLabels;
+  animatePresenceMode?: "sync" | "wait";
+  animatePresenceInitial?: boolean;
+  rotationInterval?: number;
+  staggerDuration?: number;
+  staggerFrom?: "first" | "last" | "center" | "random" | number;
+  loop?: boolean;
+  auto?: boolean;
+  splitBy?: string;
+  onNext?: (index: number) => void;
+  mainClassName?: string;
+  splitLevelClassName?: string;
+  elementLevelClassName?: string;
+}
+
+export const RotatingText = forwardRef<RotatingTextRef, RotatingTextProps>(
+  (
+    {
+      texts,
+      transition = { type: "spring", damping: 25, stiffness: 300 },
+      initial = { y: "100%", opacity: 0 },
+      animate = { y: 0, opacity: 1 },
+      exit = { y: "-120%", opacity: 0 },
+      animatePresenceMode = "wait",
+      animatePresenceInitial = false,
+      rotationInterval = 2000,
+      staggerDuration = 0,
+      staggerFrom = "first",
+      loop = true,
+      auto = true,
+      splitBy = "characters",
+      onNext,
+      mainClassName,
+      splitLevelClassName,
+      elementLevelClassName,
+      ...rest
+    },
+    ref,
+  ) => {
+    const [currentTextIndex, setCurrentTextIndex] = useState<number>(0);
+
+    const splitIntoCharacters = (text: string): string[] => {
+      if (typeof Intl !== "undefined" && Intl.Segmenter) {
+        const segmenter = new Intl.Segmenter("en", { granularity: "grapheme" });
+        return Array.from(
+          segmenter.segment(text),
+          (segment) => segment.segment,
+        );
+      }
+      return Array.from(text);
+    };
+
+    const elements = useMemo(() => {
+      const currentText: string = texts[currentTextIndex];
+      if (splitBy === "characters") {
+        const words = currentText.split(" ");
+        return words.map((word, i) => ({
+          characters: splitIntoCharacters(word),
+          needsSpace: i !== words.length - 1,
+        }));
+      }
+      if (splitBy === "words") {
+        return currentText.split(" ").map((word, i, arr) => ({
+          characters: [word],
+          needsSpace: i !== arr.length - 1,
+        }));
+      }
+      if (splitBy === "lines") {
+        return currentText.split("\n").map((line, i, arr) => ({
+          characters: [line],
+          needsSpace: i !== arr.length - 1,
+        }));
+      }
+
+      return currentText.split(splitBy).map((part, i, arr) => ({
+        characters: [part],
+        needsSpace: i !== arr.length - 1,
+      }));
+    }, [texts, currentTextIndex, splitBy]);
+
+    const getStaggerDelay = useCallback(
+      (index: number, totalChars: number): number => {
+        const total = totalChars;
+        if (staggerFrom === "first") return index * staggerDuration;
+        if (staggerFrom === "last")
+          return (total - 1 - index) * staggerDuration;
+        if (staggerFrom === "center") {
+          const center = Math.floor(total / 2);
+          return Math.abs(center - index) * staggerDuration;
+        }
+        if (staggerFrom === "random") {
+          const randomIndex = Math.floor(Math.random() * total);
+          return Math.abs(randomIndex - index) * staggerDuration;
+        }
+        return Math.abs((staggerFrom as number) - index) * staggerDuration;
+      },
+      [staggerFrom, staggerDuration],
+    );
+
+    const handleIndexChange = useCallback(
+      (newIndex: number) => {
+        setCurrentTextIndex(newIndex);
+        if (onNext) onNext(newIndex);
+      },
+      [onNext],
+    );
+
+    const next = useCallback(() => {
+      const nextIndex =
+        currentTextIndex === texts.length - 1
+          ? loop
+            ? 0
+            : currentTextIndex
+          : currentTextIndex + 1;
+      if (nextIndex !== currentTextIndex) {
+        handleIndexChange(nextIndex);
+      }
+    }, [currentTextIndex, texts.length, loop, handleIndexChange]);
+
+    const previous = useCallback(() => {
+      const prevIndex =
+        currentTextIndex === 0
+          ? loop
+            ? texts.length - 1
+            : currentTextIndex
+          : currentTextIndex - 1;
+      if (prevIndex !== currentTextIndex) {
+        handleIndexChange(prevIndex);
+      }
+    }, [currentTextIndex, texts.length, loop, handleIndexChange]);
+
+    const jumpTo = useCallback(
+      (index: number) => {
+        const validIndex = Math.max(0, Math.min(index, texts.length - 1));
+        if (validIndex !== currentTextIndex) {
+          handleIndexChange(validIndex);
+        }
+      },
+      [texts.length, currentTextIndex, handleIndexChange],
+    );
+
+    const reset = useCallback(() => {
+      if (currentTextIndex !== 0) {
+        handleIndexChange(0);
+      }
+    }, [currentTextIndex, handleIndexChange]);
+
+    useImperativeHandle(
+      ref,
+      () => ({
+        next,
+        previous,
+        jumpTo,
+        reset,
+      }),
+      [next, previous, jumpTo, reset],
+    );
+
+    useEffect(() => {
+      if (!auto) return;
+      const intervalId = setInterval(next, rotationInterval);
+      return () => clearInterval(intervalId);
+    }, [next, rotationInterval, auto]);
+
+    return (
+      <motion.span
+        className={cn(
+          "relative flex flex-wrap whitespace-pre-wrap",
+          mainClassName,
+        )}
+        {...rest}
+        layout
+        transition={transition}
+      >
+        <span className="sr-only">{texts[currentTextIndex]}</span>
+        <AnimatePresence
+          mode={animatePresenceMode}
+          initial={animatePresenceInitial}
+        >
+          <motion.div
+            key={currentTextIndex}
+            className={cn(
+              splitBy === "lines"
+                ? "flex w-full flex-col"
+                : "relative flex flex-wrap whitespace-pre-wrap",
+            )}
+            layout
+            aria-hidden="true"
+          >
+            {elements.map((wordObj, wordIndex, array) => {
+              const previousCharsCount = array
+                .slice(0, wordIndex)
+                .reduce((sum, word) => sum + word.characters.length, 0);
+              return (
+                <span
+                  key={wordIndex}
+                  className={cn("inline-flex", splitLevelClassName)}
+                >
+                  {wordObj.characters.map((char, charIndex) => (
+                    <motion.span
+                      key={charIndex}
+                      initial={initial}
+                      animate={animate}
+                      exit={exit}
+                      transition={{
+                        ...transition,
+                        delay: getStaggerDelay(
+                          previousCharsCount + charIndex,
+                          array.reduce(
+                            (sum, word) => sum + word.characters.length,
+                            0,
+                          ),
+                        ),
+                      }}
+                      className={cn("inline-block", elementLevelClassName)}
+                    >
+                      {char}
+                    </motion.span>
+                  ))}
+                  {wordObj.needsSpace && (
+                    <span className="whitespace-pre"> </span>
+                  )}
+                </span>
+              );
+            })}
+          </motion.div>
+        </AnimatePresence>
+      </motion.span>
+    );
+  },
+);
+
+RotatingText.displayName = "RotatingText";
@@ -0,0 +1,27 @@
+"use client";
+import { RotatingText } from "@/components/reactbits/rotating-text";
+
+const supports = [
+  "Next.js",
+  "Node.js",
+  "Hono",
+  "Express.js",
+  "Deno",
+  "Nest.js",
+  "Waku",
+];
+
+export const Supports = () => {
+  return (
+    <RotatingText
+      texts={supports}
+      mainClassName="inline-flex bg-transparent overflow-hidden justify-center"
+      initial={{ y: "100%" }}
+      animate={{ y: 0 }}
+      exit={{ y: "-120%" }}
+      staggerDuration={0.025}
+      transition={{ type: "spring", damping: 30, stiffness: 400 }}
+      rotationInterval={2000}
+    />
+  );
+};
@@ -1,28 +0,0 @@
-"use client";
-import { useEffect, useState } from "react";
-import ReactTextTransition from "react-text-transition";
-
-const supports = [
-  "Next.js",
-  "Node.js",
-  "Hono",
-  "Express.js",
-  "Deno",
-  "Nest.js",
-  "Waku",
-];
-
-export const TextEffect = () => {
-  const [counter, setCounter] = useState(0);
-  useEffect(() => {
-    const id = setInterval(() => {
-      setCounter(
-        (Math.floor(Math.random() * supports.length) + 1) % supports.length,
-      );
-    }, 4000);
-    return () => {
-      clearInterval(id);
-    };
-  }, []);
-  return <ReactTextTransition inline>{supports[counter]}</ReactTextTransition>;
-};
@@ -21,7 +21,7 @@ const DialogOverlay = React.forwardRef<
  <DialogPrimitive.Overlay
    ref={ref}
    className={cn(
-      "fixed inset-0 z-50 bg-black/80  data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
+      "data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 fixed inset-0 z-50 bg-black/80",
      className,
    )}
    {...props}
@@ -38,13 +38,13 @@ const DialogContent = React.forwardRef<
    <DialogPrimitive.Content
      ref={ref}
      className={cn(
-        "fixed left-[50%] top-[50%] z-50 grid w-full max-w-lg translate-x-[-50%] translate-y-[-50%] gap-4 border bg-background p-6 shadow-lg duration-200 data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] data-[state=open]:slide-in-from-left-1/2 data-[state=open]:slide-in-from-top-[48%] sm:rounded-lg",
+        "bg-background data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[state=closed]:slide-out-to-left-1/2 data-[state=closed]:slide-out-to-top-[48%] data-[state=open]:slide-in-from-left-1/2 data-[state=open]:slide-in-from-top-[48%] fixed left-[50%] top-[50%] z-50 grid w-full max-w-lg translate-x-[-50%] translate-y-[-50%] gap-4 border p-6 shadow-lg duration-200 sm:rounded-lg",
        className,
      )}
      {...props}
    >
      {children}
-      <DialogPrimitive.Close className="absolute right-4 top-4 rounded-sm opacity-70 ring-offset-background transition-opacity hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2 disabled:pointer-events-none data-[state=open]:bg-accent data-[state=open]:text-muted-foreground">
+      <DialogPrimitive.Close className="ring-offset-background focus:ring-ring data-[state=open]:bg-accent data-[state=open]:text-muted-foreground absolute right-4 top-4 rounded-sm opacity-70 transition-opacity hover:opacity-100 focus:outline-none focus:ring-2 focus:ring-offset-2 disabled:pointer-events-none">
        <Cross2Icon className="h-4 w-4" />
        <span className="sr-only">Close</span>
      </DialogPrimitive.Close>
@@ -102,7 +102,7 @@ const DialogDescription = React.forwardRef<
 >(({ className, ...props }, ref) => (
  <DialogPrimitive.Description
    ref={ref}
-    className={cn("text-sm text-muted-foreground", className)}
+    className={cn("text-muted-foreground text-sm", className)}
    {...props}
  />
 ));
@@ -10,7 +10,7 @@ const Input = React.forwardRef<HTMLInputElement, InputProps>(
      <input
        type={type}
        className={cn(
-          "flex h-9 w-full rounded-md border border-input bg-transparent px-3 py-1 text-sm shadow-sm transition-colors file:border-0 file:bg-transparent file:text-sm file:font-medium file:text-foreground placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50",
+          "border-input file:text-foreground placeholder:text-muted-foreground focus-visible:ring-ring flex h-9 w-full rounded-md border bg-transparent px-3 py-1 text-sm shadow-sm transition-colors file:border-0 file:bg-transparent file:text-sm file:font-medium focus-visible:outline-none focus-visible:ring-1 disabled:cursor-not-allowed disabled:opacity-50",
          className,
        )}
        ref={ref}
@@ -6,7 +6,7 @@ function Skeleton({
 }: React.HTMLAttributes<HTMLDivElement>) {
  return (
    <div
-      className={cn("animate-pulse rounded-md bg-primary/10", className)}
+      className={cn("bg-primary/10 animate-pulse rounded-md", className)}
      {...props}
    />
  );
@@ -17,10 +17,10 @@ const Slider = React.forwardRef<
    )}
    {...props}
  >
-    <SliderPrimitive.Track className="relative h-1.5 w-full grow overflow-hidden rounded-full bg-primary/20">
-      <SliderPrimitive.Range className="absolute h-full bg-primary" />
+    <SliderPrimitive.Track className="bg-primary/20 relative h-1.5 w-full grow overflow-hidden rounded-full">
+      <SliderPrimitive.Range className="bg-primary absolute h-full" />
    </SliderPrimitive.Track>
-    <SliderPrimitive.Thumb className="block h-4 w-4 rounded-full border border-primary/50 bg-background shadow transition-colors focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:pointer-events-none disabled:opacity-50" />
+    <SliderPrimitive.Thumb className="border-primary/50 bg-background focus-visible:ring-ring block h-4 w-4 rounded-full border shadow transition-colors focus-visible:outline-none focus-visible:ring-1 disabled:pointer-events-none disabled:opacity-50" />
  </SliderPrimitive.Root>
 ));
 Slider.displayName = SliderPrimitive.Root.displayName;
@@ -9,7 +9,7 @@ const Textarea = React.forwardRef<HTMLTextAreaElement, TextareaProps>(
    return (
      <textarea
        className={cn(
-          "flex min-h-[60px] w-full rounded-md border border-input bg-transparent px-3 py-2 text-sm shadow-sm placeholder:text-muted-foreground focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-ring disabled:cursor-not-allowed disabled:opacity-50",
+          "border-input placeholder:text-muted-foreground focus-visible:ring-ring flex min-h-[60px] w-full rounded-md border bg-transparent px-3 py-2 text-sm shadow-sm focus-visible:outline-none focus-visible:ring-1 disabled:cursor-not-allowed disabled:opacity-50",
          className,
        )}
        ref={ref}
@@ -20,7 +20,7 @@ const TooltipContent = React.forwardRef<
      ref={ref}
      sideOffset={sideOffset}
      className={cn(
-        "z-50 overflow-hidden rounded-md bg-primary px-3 py-1.5 text-xs text-primary-foreground animate-in fade-in-0 zoom-in-95 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2",
+        "bg-primary text-primary-foreground animate-in fade-in-0 zoom-in-95 data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=closed]:zoom-out-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 z-50 overflow-hidden rounded-md px-3 py-1.5 text-xs",
        className,
      )}
      {...props}
@@ -3,28 +3,10 @@ title: Agent Workflow
 ---

 import { DynamicCodeBlock } from 'fumadocs-ui/components/dynamic-codeblock';
-import CodeSource from "!raw-loader!../../../../../../../examples/agentworkflow/blog_writer.ts";
+import CodeSource from "!raw-loader!../../../../../../../examples/agentworkflow/blog-writer.ts";
 import { Tab, Tabs } from "fumadocs-ui/components/tabs";

-`AgentWorkflow` is a powerful system that enables you to create and orchestrate one or multiple agents with tools to perform specific tasks. It's built on top of the base `Workflow` system and provides a streamlined interface for agent interactions.
-
-## Installation
-
-You'll need to install the `@llamaindex/workflow` package:
-
-<Tabs groupId="install" items={["npm", "yarn", "pnpm"]} persist>
-	```shell tab="npm"
-	npm install @llamaindex/workflow
-	```
-
-	```shell tab="yarn"
-	yarn add @llamaindex/workflow
-	```
-
-	```shell tab="pnpm"
-	pnpm add @llamaindex/workflow
-	```
-</Tabs>
+Agent Workflows are a powerful system that enables you to create and orchestrate one or multiple agents with tools to perform specific tasks. It's built on top of the base `Workflow` system and provides a streamlined interface for agent interactions.

 ## Usage

@@ -33,7 +15,7 @@ You'll need to install the `@llamaindex/workflow` package:
 The simplest use case is creating a single agent with specific tools. Here's an example of creating an assistant that tells jokes:

 ```typescript
-import { AgentWorkflow, FunctionTool } from "llamaindex";
+import { agent, FunctionTool } from "llamaindex";
 import { OpenAI } from "@llamaindex/openai";

 // Define a joke-telling tool
@@ -45,8 +27,8 @@ const jokeTool = FunctionTool.from(
  }
 );

-// Create an agent workflow with the tool
-const workflow = AgentWorkflow.fromTools({
+// Create an single agent workflow with the tool
+const workflow = agent({
  tools: [jokeTool],
  llm: new OpenAI({
    model: "gpt-4o-mini",
@@ -60,7 +42,7 @@ console.log(result); // Baby Llama is called cria

 ### Event Streaming

-`AgentWorkflow` provides a unified interface for event streaming, making it easy to track and respond to different events during execution:
+Agent Workflows provide a unified interface for event streaming, making it easy to track and respond to different events during execution:

 ```typescript
 import { AgentToolCall, AgentStream } from "llamaindex";
@@ -81,7 +63,7 @@ for await (const event of context) {

 ### Multi-Agent Workflow

-`AgentWorkflow` can orchestrate multiple agents, enabling complex interactions and task handoffs. Each agent in a multi-agent workflow requires:
+An Agent Workflow can orchestrate multiple agents, enabling complex interactions and task handoffs. Each agent in a multi-agent workflow requires:

 - `name`: Unique identifier for the agent
 - `description`: Purpose description used for task routing
@@ -91,12 +73,12 @@ for await (const event of context) {
 Here's an example of a multi-agent system that combines joke-telling and weather information:

 ```typescript
-import { AgentWorkflow, FunctionAgent, FunctionTool } from "llamaindex";
+import { multiAgent, agent, FunctionTool } from "llamaindex";
 import { OpenAI } from "@llamaindex/openai";
 import { z } from "zod";

 // Create a weather agent
-const weatherAgent = new FunctionAgent({
+const weatherAgent = agent({
  name: "WeatherAgent",
  description: "Provides weather information for any city",
  tools: [
@@ -115,7 +97,7 @@ const weatherAgent = new FunctionAgent({
 });

 // Create a joke-telling agent
-const jokeAgent = new FunctionAgent({
+const jokeAgent = agent({
  name: "JokeAgent",
  description: "Tells jokes and funny stories",
  tools: [jokeTool], // Using the joke tool defined earlier
@@ -124,7 +106,7 @@ const jokeAgent = new FunctionAgent({
 });

 // Create the multi-agent workflow
-const workflow = new AgentWorkflow({
+const workflow = multiAgent({
  agents: [jokeAgent, weatherAgent],
  rootAgent: jokeAgent, // Start with the joke agent
 });
@@ -119,7 +119,7 @@ Lastly, we run the workflow. The `.run()` method is async, so we use await here
 Optionally, you can choose to use a shared context between steps by specifying a context type when creating the workflow. Here's an example where multiple steps access a shared state:

 ```typescript
-import { HandlerContext } from "@llamaindex/workflow";
+import { HandlerContext } from "llamaindex";

 type MyContextData = {
  query: string;
@@ -1,4 +1,5 @@
 {
+  "$schema": "https://turbo.build/schema.json",
  "extends": ["//"],
  "tasks": {
    "build": {
@@ -8,6 +9,11 @@
        "next-env.d.ts",
        "src/content/docs/cloud/api/**",
        "src/content/docs/api/**"
+      ],
+      "env": [
+        "LLAMA_CLOUD_API_KEY",
+        "LLAMA_CLOUD_PIPELINE_ID",
+        "OPENAI_API_KEY"
      ]
    },
    "dev": {
@@ -1,5 +1,14 @@
 # @llamaindex/cloudflare-worker-agent-test

+## 0.0.144
+
+### Patch Changes
+
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - llamaindex@0.9.10
+
 ## 0.0.143

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/cloudflare-worker-agent-test",
-  "version": "0.0.143",
+  "version": "0.0.144",
  "type": "module",
  "private": true,
  "scripts": {
@@ -1,5 +1,11 @@
 # @llamaindex/llama-parse-browser-test

+## 0.0.54
+
+### Patch Changes
+
+- @llamaindex/cloud@3.0.9
+
 ## 0.0.53

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/llama-parse-browser-test",
  "private": true,
-  "version": "0.0.53",
+  "version": "0.0.54",
  "type": "module",
  "scripts": {
    "dev": "vite",
@@ -1,5 +1,14 @@
 # @llamaindex/next-agent-test

+## 0.1.144
+
+### Patch Changes
+
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - llamaindex@0.9.10
+
 ## 0.1.143

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/next-agent-test",
-  "version": "0.1.143",
+  "version": "0.1.144",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,5 +1,14 @@
 # test-edge-runtime

+## 0.1.143
+
+### Patch Changes
+
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - llamaindex@0.9.10
+
 ## 0.1.142

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/nextjs-edge-runtime-test",
-  "version": "0.1.142",
+  "version": "0.1.143",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,5 +1,17 @@
 # @llamaindex/next-node-runtime

+## 0.1.10
+
+### Patch Changes
+
+- Updated dependencies [aea550a]
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - @llamaindex/huggingface@0.0.44
+  - llamaindex@0.9.10
+  - @llamaindex/readers@2.0.8
+
 ## 0.1.9

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/next-node-runtime-test",
-  "version": "0.1.9",
+  "version": "0.1.10",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,13 +1,7 @@
 "use server";
 import { HuggingFaceEmbedding } from "@llamaindex/huggingface";
 import { SimpleDirectoryReader } from "@llamaindex/readers/directory";
-import {
-  OpenAI,
-  OpenAIAgent,
-  QueryEngineTool,
-  Settings,
-  VectorStoreIndex,
-} from "llamaindex";
+import { OpenAI, OpenAIAgent, Settings, VectorStoreIndex } from "llamaindex";

 Settings.llm = new OpenAI({
  apiKey: process.env.NEXT_PUBLIC_OPENAI_KEY ?? "FAKE_KEY_TO_PASS_TESTS",
@@ -31,23 +25,20 @@ export async function getOpenAIModelRequest(query: string) {
    const reader = new SimpleDirectoryReader();
    const documents = await reader.loadData(currentDir);
    const index = await VectorStoreIndex.fromDocuments(documents);
-    const retriever = index.asRetriever({
-      similarityTopK: 10,
-    });
-    const queryEngine = index.asQueryEngine({
-      retriever,
-    });

    // define the query engine as a tool
    const tools = [
-      new QueryEngineTool({
-        queryEngine: queryEngine,
+      index.queryTool({
+        options: {
+          similarityTopK: 10,
+        },
        metadata: {
          name: "deployment_details_per_env",
          description: `This tool can answer detailed questions about deployments happened in various environments.`,
        },
      }),
    ];
+
    // create the agent
    const agent = new OpenAIAgent({ tools });

@@ -1,5 +1,14 @@
 # vite-import-llamaindex

+## 0.0.10
+
+### Patch Changes
+
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - llamaindex@0.9.10
+
 ## 0.0.9

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "vite-import-llamaindex",
  "private": true,
-  "version": "0.0.9",
+  "version": "0.0.10",
  "type": "module",
  "scripts": {
    "build": "vite build",
@@ -1,5 +1,14 @@
 # @llamaindex/waku-query-engine-test

+## 0.0.144
+
+### Patch Changes
+
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - llamaindex@0.9.10
+
 ## 0.0.143

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/waku-query-engine-test",
-  "version": "0.0.143",
+  "version": "0.0.144",
  "type": "module",
  "private": true,
  "scripts": {
@@ -10,10 +10,10 @@ export const Chat = (props: ChatProps) => {
  const [response, setResponse] = useState<string | null>(null);

  return (
-    <section className="border-blue-400 -mx-4 mt-4 rounded border border-dashed p-4">
+    <section className="-mx-4 mt-4 rounded border border-dashed border-blue-400 p-4">
      <h2 className="text-lg font-bold">Chat with AI</h2>
      {response ? (
-        <p className="text-sm text-gray-600 max-w-sm">{response}</p>
+        <p className="max-w-sm text-sm text-gray-600">{response}</p>
      ) : null}
      <form
        action={async (formData) => {
@@ -26,7 +26,7 @@ export const Chat = (props: ChatProps) => {
        <input
          type="text"
          name="question"
-          className="border border-gray-400 rounded-sm px-2 py-0.5 text-sm"
+          className="rounded-sm border border-gray-400 px-2 py-0.5 text-sm"
        />
        <button className="rounded-sm bg-black px-2 py-0.5 text-sm text-white">
          Ask
@@ -1,5 +1,54 @@
 # examples

+## 0.2.9
+
+### Patch Changes
+
+- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
+- Updated dependencies [c14a21b]
+- Updated dependencies [33f9856]
+- Updated dependencies [aea550a]
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - @llamaindex/azure@0.1.8
+  - @llamaindex/google@0.1.1
+  - @llamaindex/huggingface@0.0.44
+  - @llamaindex/portkey-ai@0.0.41
+  - @llamaindex/anthropic@0.2.6
+  - @llamaindex/deepinfra@0.0.44
+  - @llamaindex/fireworks@0.0.4
+  - @llamaindex/replicate@0.0.41
+  - @llamaindex/deepseek@0.0.4
+  - @llamaindex/together@0.0.4
+  - @llamaindex/mistral@0.0.13
+  - @llamaindex/ollama@0.0.48
+  - @llamaindex/openai@0.1.60
+  - @llamaindex/vercel@0.0.19
+  - @llamaindex/groq@0.0.59
+  - @llamaindex/vllm@0.0.30
+  - llamaindex@0.9.10
+  - @llamaindex/workflow@0.0.16
+  - @llamaindex/core@0.5.8
+  - @llamaindex/clip@0.0.44
+  - @llamaindex/jinaai@0.0.4
+  - @llamaindex/milvus@0.1.8
+  - @llamaindex/qdrant@0.1.8
+  - @llamaindex/cloud@3.0.9
+  - @llamaindex/node-parser@1.0.8
+  - @llamaindex/cohere@0.0.13
+  - @llamaindex/mixedbread@0.0.13
+  - @llamaindex/astra@0.0.13
+  - @llamaindex/chroma@0.0.13
+  - @llamaindex/firestore@1.0.6
+  - @llamaindex/mongodb@0.0.13
+  - @llamaindex/pinecone@0.0.13
+  - @llamaindex/postgres@0.0.41
+  - @llamaindex/upstash@0.0.13
+  - @llamaindex/weaviate@0.0.13
+  - @llamaindex/voyage-ai@1.0.5
+  - @llamaindex/readers@2.0.8
+
 ## 0.2.8

 ### Patch Changes
@@ -1,5 +1,5 @@
 import { OpenAI } from "@llamaindex/openai";
-import { AgentWorkflow, FunctionTool } from "llamaindex";
+import { FunctionTool, agent } from "llamaindex";
 import { z } from "zod";

 const csvData =
@@ -33,7 +33,7 @@ const userQuestion = "which are the best comedies after 2010?";
  const systemPrompt =
    "You are a Python interpreter.\n        - You are given tasks to complete and you run python code to solve them.\n        - The python code runs in a Jupyter notebook. Every time you call $(interpreter) tool, the python code is executed in a separate cell. It's okay to make multiple calls to $(interpreter).\n        - Display visualizations using matplotlib or any other visualization library directly in the notebook. Shouldn't save the visualizations to a file, just return the base64 encoded data.\n        - You can install any pip package (if it exists) if you need to but the usual packages for data analysis are already preinstalled.\n        - You can run any python code you want in a secure environment.";

-  const workflow = AgentWorkflow.fromTools({
+  const workflow = agent({
    tools: [interpreterTool],
    llm,
    verbose: false,
@@ -1,5 +1,5 @@
 import { OpenAI } from "@llamaindex/openai";
-import { AgentWorkflow, FunctionTool } from "llamaindex";
+import { FunctionTool, agent } from "llamaindex";
 import { z } from "zod";

 const sumNumbers = FunctionTool.from(
@@ -27,7 +27,7 @@ const divideNumbers = FunctionTool.from(
 );

 async function main() {
-  const workflow = AgentWorkflow.fromTools({
+  const workflow = agent({
    tools: [sumNumbers, divideNumbers],
    llm: new OpenAI({ model: "gpt-4o-mini" }),
    verbose: false,
@@ -1,12 +1,12 @@
 import { OpenAI } from "@llamaindex/openai";
-import { AgentStream, AgentWorkflow } from "llamaindex";
+import { AgentStream, agent } from "llamaindex";
 import { WikipediaTool } from "../wiki";

 async function main() {
  const llm = new OpenAI({ model: "gpt-4-turbo" });
  const wikiTool = new WikipediaTool();

-  const workflow = AgentWorkflow.fromTools({
+  const workflow = agent({
    tools: [wikiTool],
    llm,
    verbose: false,
@@ -1,40 +1,38 @@
-import { OpenAI } from "@llamaindex/openai";
+import { openai } from "@llamaindex/openai";
 import fs from "fs";
 import {
+  agent,
  AgentToolCall,
  AgentToolCallResult,
-  AgentWorkflow,
-  FunctionAgent,
-  FunctionTool,
+  multiAgent,
+  tool,
 } from "llamaindex";
 import os from "os";
 import { z } from "zod";

 import { WikipediaTool } from "../wiki";
-const llm = new OpenAI({
+const llm = openai({
  model: "gpt-4o-mini",
 });

-const saveFileTool = FunctionTool.from(
-  ({ content }: { content: string }) => {
+const saveFileTool = tool({
+  name: "saveFile",
+  description:
+    "Save the written content into a file that can be downloaded by the user",
+  parameters: z.object({
+    content: z.string({
+      description: "The content to save into a file",
+    }),
+  }),
+  execute: ({ content }: { content: string }) => {
    const filePath = os.tmpdir() + "/report.md";
    fs.writeFileSync(filePath, content);
    return `File saved successfully at ${filePath}`;
  },
-  {
-    name: "saveFile",
-    description:
-      "Save the written content into a file that can be downloaded by the user",
-    parameters: z.object({
-      content: z.string({
-        description: "The content to save into a file",
-      }),
-    }),
-  },
-);
+});

 async function main() {
-  const reportAgent = new FunctionAgent({
+  const reportAgent = agent({
    name: "ReportAgent",
    description:
      "Responsible for crafting well-written blog posts based on research findings",
@@ -43,7 +41,7 @@ async function main() {
    llm,
  });

-  const researchAgent = new FunctionAgent({
+  const researchAgent = agent({
    name: "ResearchAgent",
    description:
      "Responsible for gathering relevant information from the internet",
@@ -53,7 +51,7 @@ async function main() {
    llm,
  });

-  const workflow = new AgentWorkflow({
+  const workflow = multiAgent({
    agents: [researchAgent, reportAgent],
    rootAgent: researchAgent,
  });
@@ -3,59 +3,55 @@
 * 1. FetchWeatherAgent - Fetches the weather in a city
 * 2. TemperatureConverterAgent - Converts the temperature from Fahrenheit to Celsius
 */
-import { OpenAI } from "@llamaindex/openai";
-import { StopEvent } from "@llamaindex/workflow";
+import { openai } from "@llamaindex/openai";
 import {
+  agent,
  AgentInput,
  AgentOutput,
  AgentStream,
  AgentToolCall,
  AgentToolCallResult,
-  AgentWorkflow,
-  FunctionAgent,
-  FunctionTool,
+  multiAgent,
+  StopEvent,
+  tool,
 } from "llamaindex";
 import { z } from "zod";

-const llm = new OpenAI({
+const llm = openai({
  model: "gpt-4o-mini",
 });

 // Define tools for the agents
-const temperatureConverterTool = FunctionTool.from(
-  ({ temperature }: { temperature: number }) => {
+const temperatureConverterTool = tool({
+  description: "Convert a temperature from Fahrenheit to Celsius",
+  name: "fahrenheitToCelsius",
+  parameters: z.object({
+    temperature: z.number({
+      description: "The temperature in Fahrenheit",
+    }),
+  }),
+  execute: ({ temperature }) => {
    return ((temperature - 32) * 5) / 9;
  },
-  {
-    description: "Convert a temperature from Fahrenheit to Celsius",
-    name: "fahrenheitToCelsius",
-    parameters: z.object({
-      temperature: z.number({
-        description: "The temperature in Fahrenheit",
-      }),
-    }),
-  },
-);
+});

-const temperatureFetcherTool = FunctionTool.from(
-  ({ city }: { city: string }) => {
+const temperatureFetcherTool = tool({
+  description: "Fetch the temperature (in Fahrenheit) for a city",
+  name: "fetchTemperature",
+  parameters: z.object({
+    city: z.string({
+      description: "The city to fetch the temperature for",
+    }),
+  }),
+  execute: ({ city }) => {
    const temperature = Math.floor(Math.random() * 58) + 32;
    return `The current temperature in ${city} is ${temperature}°F`;
  },
-  {
-    description: "Fetch the temperature (in Fahrenheit) for a city",
-    name: "fetchTemperature",
-    parameters: z.object({
-      city: z.string({
-        description: "The city to fetch the temperature for",
-      }),
-    }),
-  },
-);
+});

 // Create agents
 async function multiWeatherAgent() {
-  const converterAgent = new FunctionAgent({
+  const converterAgent = agent({
    name: "TemperatureConverterAgent",
    description:
      "An agent that can convert temperatures from Fahrenheit to Celsius.",
@@ -63,7 +59,7 @@ async function multiWeatherAgent() {
    llm,
  });

-  const weatherAgent = new FunctionAgent({
+  const weatherAgent = agent({
    name: "FetchWeatherAgent",
    description: "An agent that can get the weather in a city. ",
    systemPrompt:
@@ -76,7 +72,7 @@ async function multiWeatherAgent() {
  });

  // Create agent workflow with the agents
-  const workflow = new AgentWorkflow({
+  const workflow = multiAgent({
    agents: [weatherAgent, converterAgent],
    rootAgent: weatherAgent,
    verbose: false,
@@ -1,18 +1,17 @@
 /**
 * This example shows how to use AgentWorkflow as a single agent with tools
 */
-import { OpenAI } from "@llamaindex/openai";
-import { AgentWorkflow } from "llamaindex";
+import { openai } from "@llamaindex/openai";
+import { Settings, agent } from "llamaindex";
 import { getWeatherTool } from "../agent/utils/tools";

-const llm = new OpenAI({
+Settings.llm = openai({
  model: "gpt-4o",
 });

 async function singleWeatherAgent() {
-  const workflow = AgentWorkflow.fromTools({
+  const workflow = agent({
    tools: [getWeatherTool],
-    llm,
    verbose: false,
  });

@@ -1,69 +1,63 @@
 import fs from "fs";
 import {
+  agent,
  AgentToolCall,
  AgentToolCallResult,
-  AgentWorkflow,
-  FunctionAgent,
-  FunctionTool,
+  multiAgent,
+  tool,
 } from "llamaindex";
 import { z } from "zod";

-import { Anthropic } from "@llamaindex/anthropic";
+import { anthropic } from "@llamaindex/anthropic";

-const llm = new Anthropic({
-  model: "claude-3-5-sonnet",
+const weatherTool = tool({
+  name: "weather",
+  description: "Get the weather",
+  parameters: z.object({
+    location: z.string({
+      description: "The location to get the weather for",
+    }),
+  }),
+  execute: ({ location }) => {
+    return `The weather in ${location} is sunny`;
+  },
 });

-const weatherTool = FunctionTool.from(
-  (query: { location: string }) => {
-    return `The weather in ${query.location} is sunny`;
-  },
-  {
-    name: "weather",
-    description: "Get the weather",
-    parameters: z.object({
-      location: z.string({
-        description: "The location to get the weather for",
-      }),
+const inflationTool = tool({
+  name: "inflation",
+  description: "Get the inflation",
+  parameters: z.object({
+    location: z.string({
+      description: "The location to get the inflation for",
    }),
+  }),
+  execute: ({ location }) => {
+    return `The inflation in ${location} is 2%`;
  },
-);
+});

-const inflationTool = FunctionTool.from(
-  (query: { location: string }) => {
-    return `The inflation in ${query.location} is 2%`;
-  },
-  {
-    name: "inflation",
-    description: "Get the inflation",
-    parameters: z.object({
-      location: z.string({
-        description: "The location to get the inflation for",
-      }),
+const saveFileTool = tool({
+  name: "saveFile",
+  description:
+    "Save the written content into a file that can be downloaded by the user",
+  parameters: z.object({
+    content: z.string({
+      description: "The content to save into a file",
    }),
-  },
-);
-
-const saveFileTool = FunctionTool.from(
-  ({ content }: { content: string }) => {
+  }),
+  execute: ({ content }) => {
    const filePath = "./report.md";
    fs.writeFileSync(filePath, content);
    return `File saved successfully at ${filePath}`;
  },
-  {
-    name: "saveFile",
-    description:
-      "Save the written content into a file that can be downloaded by the user",
-    parameters: z.object({
-      content: z.string({
-        description: "The content to save into a file",
-      }),
-    }),
-  },
-);
+});

 async function main() {
-  const reportAgent = new FunctionAgent({
+  const llm = anthropic({
+    model: "claude-3-5-sonnet",
+  });
+
+  const reportAgent = agent({
    name: "ReportAgent",
    description:
      "Responsible for creating concise reports about weather and inflation data",
@@ -72,7 +66,7 @@ async function main() {
    llm,
  });

-  const researchAgent = new FunctionAgent({
+  const researchAgent = agent({
    name: "ResearchAgent",
    description:
      "Responsible for gathering relevant information from the internet",
@@ -82,7 +76,7 @@ async function main() {
    llm,
  });

-  const workflow = new AgentWorkflow({
+  const workflow = multiAgent({
    agents: [researchAgent, reportAgent],
    rootAgent: researchAgent,
  });
@@ -1,4 +1,4 @@
-import { StartEvent, StopEvent, Workflow } from "@llamaindex/workflow";
+import { StartEvent, StopEvent, Workflow } from "llamaindex";

 type ContextData = {
  counter: number;
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/examples",
-  "version": "0.2.8",
+  "version": "0.2.9",
  "private": true,
  "scripts": {
    "lint": "eslint .",
@@ -11,43 +11,43 @@
    "@azure/cosmos": "^4.1.1",
    "@azure/identity": "^4.4.1",
    "@azure/search-documents": "^12.1.0",
-    "@llamaindex/anthropic": "^0.2.5",
-    "@llamaindex/astra": "^0.0.12",
-    "@llamaindex/azure": "^0.1.7",
-    "@llamaindex/chroma": "^0.0.12",
-    "@llamaindex/clip": "^0.0.43",
-    "@llamaindex/cloud": "^3.0.8",
-    "@llamaindex/cohere": "^0.0.12",
-    "@llamaindex/core": "^0.5.7",
-    "@llamaindex/deepinfra": "^0.0.43",
+    "@llamaindex/anthropic": "^0.2.6",
+    "@llamaindex/astra": "^0.0.13",
+    "@llamaindex/azure": "^0.1.8",
+    "@llamaindex/chroma": "^0.0.13",
+    "@llamaindex/clip": "^0.0.44",
+    "@llamaindex/cloud": "^3.0.9",
+    "@llamaindex/cohere": "^0.0.13",
+    "@llamaindex/core": "^0.5.8",
+    "@llamaindex/deepinfra": "^0.0.44",
    "@llamaindex/env": "^0.1.29",
-    "@llamaindex/firestore": "^1.0.5",
-    "@llamaindex/google": "^0.1.0",
-    "@llamaindex/groq": "^0.0.58",
-    "@llamaindex/huggingface": "^0.0.43",
-    "@llamaindex/milvus": "^0.1.7",
-    "@llamaindex/mistral": "^0.0.12",
-    "@llamaindex/mixedbread": "^0.0.12",
-    "@llamaindex/mongodb": "^0.0.12",
-    "@llamaindex/node-parser": "^1.0.7",
-    "@llamaindex/ollama": "^0.0.47",
-    "@llamaindex/openai": "^0.1.59",
-    "@llamaindex/pinecone": "^0.0.12",
-    "@llamaindex/portkey-ai": "^0.0.40",
-    "@llamaindex/postgres": "^0.0.40",
-    "@llamaindex/qdrant": "^0.1.7",
-    "@llamaindex/readers": "^2.0.7",
-    "@llamaindex/replicate": "^0.0.40",
-    "@llamaindex/upstash": "^0.0.12",
-    "@llamaindex/vercel": "^0.0.18",
-    "@llamaindex/vllm": "^0.0.29",
-    "@llamaindex/voyage-ai": "^1.0.4",
-    "@llamaindex/weaviate": "^0.0.12",
-    "@llamaindex/workflow": "^0.0.15",
-    "@llamaindex/deepseek": "^0.0.3",
-    "@llamaindex/fireworks": "^0.0.3",
-    "@llamaindex/together": "^0.0.3",
-    "@llamaindex/jinaai": "^0.0.3",
+    "@llamaindex/firestore": "^1.0.6",
+    "@llamaindex/google": "^0.1.1",
+    "@llamaindex/groq": "^0.0.59",
+    "@llamaindex/huggingface": "^0.0.44",
+    "@llamaindex/milvus": "^0.1.8",
+    "@llamaindex/mistral": "^0.0.13",
+    "@llamaindex/mixedbread": "^0.0.13",
+    "@llamaindex/mongodb": "^0.0.13",
+    "@llamaindex/node-parser": "^1.0.8",
+    "@llamaindex/ollama": "^0.0.48",
+    "@llamaindex/openai": "^0.1.60",
+    "@llamaindex/pinecone": "^0.0.13",
+    "@llamaindex/portkey-ai": "^0.0.41",
+    "@llamaindex/postgres": "^0.0.41",
+    "@llamaindex/qdrant": "^0.1.8",
+    "@llamaindex/readers": "^2.0.8",
+    "@llamaindex/replicate": "^0.0.41",
+    "@llamaindex/upstash": "^0.0.13",
+    "@llamaindex/vercel": "^0.0.19",
+    "@llamaindex/vllm": "^0.0.30",
+    "@llamaindex/voyage-ai": "^1.0.5",
+    "@llamaindex/weaviate": "^0.0.13",
+    "@llamaindex/workflow": "^0.0.16",
+    "@llamaindex/deepseek": "^0.0.4",
+    "@llamaindex/fireworks": "^0.0.4",
+    "@llamaindex/together": "^0.0.4",
+    "@llamaindex/jinaai": "^0.0.4",
    "@notionhq/client": "^2.2.15",
    "@pinecone-database/pinecone": "^4.0.0",
    "@vercel/postgres": "^0.10.0",
@@ -56,7 +56,7 @@
    "commander": "^12.1.0",
    "dotenv": "^16.4.5",
    "js-tiktoken": "^1.0.14",
-    "llamaindex": "^0.9.9",
+    "llamaindex": "^0.9.10",
    "mongodb": "6.7.0",
    "postgres": "^3.4.4",
    "wikipedia": "^2.1.2",
@@ -5,7 +5,7 @@ import {
  StopEvent,
  Workflow,
  WorkflowEvent,
-} from "@llamaindex/workflow";
+} from "llamaindex";

 const MAX_REVIEWS = 3;

@@ -5,7 +5,7 @@ import {
  StopEvent,
  Workflow,
  WorkflowEvent,
-} from "@llamaindex/workflow";
+} from "llamaindex";

 // Create LLM instance
 const llm = new OpenAI();
@@ -1,10 +1,5 @@
 import { OpenAI } from "@llamaindex/openai";
-import {
-  StartEvent,
-  StopEvent,
-  Workflow,
-  WorkflowEvent,
-} from "@llamaindex/workflow";
+import { StartEvent, StopEvent, Workflow, WorkflowEvent } from "llamaindex";

 // Create LLM instance
 const llm = new OpenAI();
@@ -5,7 +5,7 @@ import {
  StopEvent,
  Workflow,
  WorkflowEvent,
-} from "@llamaindex/workflow";
+} from "llamaindex";

 // Create LLM instance
 const llm = new OpenAI();
@@ -1,4 +1,4 @@
-import { StartEvent, StopEvent, Workflow } from "@llamaindex/workflow";
+import { StartEvent, StopEvent, Workflow } from "llamaindex";

 const longRunning = async (_: unknown, ev: StartEvent<string>) => {
  await new Promise((resolve) => setTimeout(resolve, 2000)); // Wait for 2 seconds
@@ -1,10 +1,5 @@
 import { OpenAI } from "@llamaindex/openai";
-import {
-  StartEvent,
-  StopEvent,
-  Workflow,
-  WorkflowEvent,
-} from "@llamaindex/workflow";
+import { StartEvent, StopEvent, Workflow, WorkflowEvent } from "llamaindex";

 // Create LLM instance
 const llm = new OpenAI();
@@ -32,6 +32,7 @@
    "madge": "^8.0.0",
    "prettier": "^3.4.2",
    "prettier-plugin-organize-imports": "^4.1.0",
+    "prettier-plugin-tailwindcss": "^0.6.11",
    "turbo": "^2.4.4",
    "typescript": "^5.7.3",
    "typescript-eslint": "^8.18.0"
@@ -39,14 +40,11 @@
  "packageManager": "pnpm@9.12.3",
  "lint-staged": {
    "*.{js,jsx,ts,tsx}": [
-      "prettier --check",
-      "eslint"
+      "eslint --fix",
+      "prettier --write"
    ],
-    "*.{json,md}": "prettier --check"
-  },
-  "pnpm": {
-    "patchedDependencies": {
-      "bunchee@6.3.4": "patches/bunchee@6.3.4.patch"
-    }
+    "*.{json,md,yml}": [
+      "prettier --write"
+    ]
  }
 }
@@ -1,5 +1,14 @@
 # @llamaindex/autotool

+## 6.0.10
+
+### Patch Changes
+
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - llamaindex@0.9.10
+
 ## 6.0.9

 ### Patch Changes
@@ -1,5 +1,15 @@
 # @llamaindex/autotool-01-node-example

+## 0.0.91
+
+### Patch Changes
+
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - llamaindex@0.9.10
+  - @llamaindex/autotool@6.0.10
+
 ## 0.0.90

 ### Patch Changes
@@ -13,5 +13,5 @@
  "scripts": {
    "start": "node --import tsx --import @llamaindex/autotool/node ./src/index.ts"
  },
-  "version": "0.0.90"
+  "version": "0.0.91"
 }
@@ -6,7 +6,7 @@
    "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
    "directory": "packages/autotool"
  },
-  "version": "6.0.9",
+  "version": "6.0.10",
  "description": "auto transpile your JS function to LLM Agent compatible",
  "files": [
    "dist",
@@ -75,7 +75,7 @@
    "@swc/types": "^0.1.12",
    "@types/json-schema": "^7.0.15",
    "@types/node": "^22.9.0",
-    "bunchee": "6.3.4",
+    "bunchee": "6.4.0",
    "llamaindex": "workspace:*",
    "next": "15.2.0",
    "rollup": "^4.28.1",
@@ -1,5 +1,12 @@
 # @llamaindex/cloud

+## 3.0.9
+
+### Patch Changes
+
+- Updated dependencies [40ee761]
+  - @llamaindex/core@0.5.8
+
 ## 3.0.8

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/cloud",
-  "version": "3.0.8",
+  "version": "3.0.9",
  "type": "module",
  "license": "MIT",
  "scripts": {
@@ -59,7 +59,7 @@
    "@hey-api/openapi-ts": "^0.61.0",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/env": "workspace:*",
-    "bunchee": "6.3.4"
+    "bunchee": "6.4.0"
  },
  "peerDependencies": {
    "@llamaindex/core": "workspace:*",
@@ -1,4 +1,5 @@
 {
+  "$schema": "https://turbo.build/schema.json",
  "extends": ["//"],
  "tasks": {
    "build": {
@@ -1,5 +1,12 @@
 # @llamaindex/community

+## 0.0.90
+
+### Patch Changes
+
+- Updated dependencies [40ee761]
+  - @llamaindex/core@0.5.8
+
 ## 0.0.89

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/community",
  "description": "Community package for LlamaIndexTS",
-  "version": "0.0.89",
+  "version": "0.0.90",
  "type": "module",
  "types": "dist/type/index.d.ts",
  "main": "dist/cjs/index.js",
@@ -43,7 +43,7 @@
  },
  "devDependencies": {
    "@types/node": "^22.9.0",
-    "bunchee": "6.3.4"
+    "bunchee": "6.4.0"
  },
  "dependencies": {
    "@aws-sdk/client-bedrock-agent-runtime": "^3.706.0",
@@ -1,5 +1,11 @@
 # @llamaindex/core

+## 0.5.8
+
+### Patch Changes
+
+- 40ee761: Add factory methods tool, agent and multiAgent to simplify agent usage
+
 ## 0.5.7

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/core",
  "type": "module",
-  "version": "0.5.7",
+  "version": "0.5.8",
  "description": "LlamaIndex Core Module",
  "exports": {
    "./agent": {
@@ -316,7 +316,7 @@
  "devDependencies": {
    "@edge-runtime/vm": "^4.0.4",
    "ajv": "^8.17.1",
-    "bunchee": "6.3.4",
+    "bunchee": "6.4.0",
    "happy-dom": "^15.11.6",
    "natural": "^8.0.1"
  },
@@ -64,12 +64,52 @@ export class FunctionTool<
      parameters: R;
    },
  ): FunctionTool<T, JSONValue, AdditionalToolArgument>;
+  static from<
+    R extends z.ZodType,
+    AdditionalToolArgument extends object = object,
+  >(
+    config: Omit<ToolMetadata, "parameters"> & {
+      parameters: R;
+      execute: (
+        input: z.infer<R>,
+        additionalArg?: AdditionalToolArgument,
+      ) => JSONValue | Promise<JSONValue>;
+    },
+  ): FunctionTool<
+    z.infer<R>,
+    JSONValue | Promise<JSONValue>,
+    AdditionalToolArgument
+  >;
  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  static from(fn: any, schema: any): any {
-    if (schema.parameters instanceof z.ZodSchema) {
+  static from(fnOrConfig: any, schema?: any): any {
+    // Handle the case where an object with execute function is passed
+    if (
+      typeof schema === "undefined" &&
+      typeof fnOrConfig === "object" &&
+      fnOrConfig.execute
+    ) {
+      const { execute, parameters, ...restConfig } = fnOrConfig;
+
+      if (parameters instanceof z.ZodSchema) {
+        const jsonSchema = zodToJsonSchema(parameters);
+        return new FunctionTool(
+          execute,
+          {
+            ...restConfig,
+            parameters: jsonSchema,
+          },
+          parameters,
+        );
+      }
+
+      return new FunctionTool(execute, fnOrConfig);
+    }
+
+    // Handle the original cases
+    if (schema && schema.parameters instanceof z.ZodSchema) {
      const jsonSchema = zodToJsonSchema(schema.parameters);
      return new FunctionTool(
-        fn,
+        fnOrConfig,
        {
          ...schema,
          parameters: jsonSchema,
@@ -77,7 +117,7 @@ export class FunctionTool<
        schema.parameters,
      );
    }
-    return new FunctionTool(fn, schema);
+    return new FunctionTool(fnOrConfig, schema);
  }

  get metadata(): BaseTool<T>["metadata"] {
@@ -122,3 +162,8 @@ export class FunctionTool<
    return this.#fn.call(null, input, this.#additionalArg);
  };
 }
+
+/**
+ * A simpler alias for creating a FunctionTool.
+ */
+export const tool = FunctionTool.from;
@@ -1 +1 @@
-export { FunctionTool } from "./function-tool";
+export * from "./function-tool";
@@ -80,8 +80,9 @@ export {
  extractText,
  imageToDataUrl,
  messagesToHistory,
-  MockLLM,
  toToolDescriptions,
 } from "./llms";

+export { MockLLM } from "./mock";
+
 export { objectEntries } from "./object-entries";
@@ -2,15 +2,6 @@ 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,
@@ -152,82 +143,3 @@ 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: {} };
-  }
-}
@@ -0,0 +1,93 @@
+// TODO: move to a test package
+import { ToolCallLLM } from "../llms/base";
+import type {
+  ChatResponse,
+  ChatResponseChunk,
+  CompletionResponse,
+  LLMChatParamsNonStreaming,
+  LLMChatParamsStreaming,
+  LLMCompletionParamsNonStreaming,
+  LLMCompletionParamsStreaming,
+  LLMMetadata,
+} from "../llms/type";
+
+export class MockLLM extends ToolCallLLM {
+  metadata: LLMMetadata;
+  options: {
+    timeBetweenToken: number;
+    responseMessage: string;
+  };
+  supportToolCall: boolean = false;
+
+  constructor(options?: {
+    timeBetweenToken?: number;
+    responseMessage?: string;
+    metadata?: LLMMetadata;
+  }) {
+    super();
+    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: {} };
+  }
+}
@@ -1,4 +1,4 @@
-import { FunctionTool } from "@llamaindex/core/tools";
+import { FunctionTool, tool } from "@llamaindex/core/tools";
 import { describe, expect, test, vi } from "vitest";
 import { z } from "zod";

@@ -27,6 +27,41 @@ describe("FunctionTool", () => {
    });
  });

+  test("create with execute attribute", async () => {
+    // Mock function to be passed as execute attribute
+    const mockExecute = vi.fn().mockImplementation(({ content }) => {
+      return `File saved with content: ${content}`;
+    });
+
+    const config = {
+      name: "saveFile",
+      description: "Save the content into a file",
+      parameters: z.object({
+        content: z.string({
+          description: "The content to save into a file",
+        }),
+      }),
+      execute: mockExecute,
+    };
+
+    // Create tool using an execute attribute
+    const saveTool = FunctionTool.from(config);
+
+    // Call the tool and verify
+    const result = await saveTool.call({ content: "test content" });
+    expect(mockExecute).toHaveBeenCalledOnce();
+    expect(mockExecute).toHaveBeenCalledWith(
+      { content: "test content" },
+      undefined,
+    );
+    expect(result).toBe("File saved with content: test content");
+
+    // Test tool alias
+    const saveTool2 = tool(config);
+    const result2 = await saveTool2.call({ content: "test content" });
+    expect(result2).toBe("File saved with content: test content");
+  });
+
  test("bind additional argument", () => {
    type AdditionalHelloArgument = {
      question?: string;
@@ -1,4 +1,5 @@
 {
+  "$schema": "https://turbo.build/schema.json",
  "extends": ["//"],
  "tasks": {
    "build": {
@@ -119,7 +119,7 @@
    "@huggingface/transformers": "^3.0.2",
    "@types/node": "^22.9.0",
    "@types/readable-stream": "^4.0.15",
-    "bunchee": "6.3.4",
+    "bunchee": "6.4.0",
    "vitest": "^2.1.5"
  },
  "dependencies": {
@@ -1,4 +1,5 @@
 {
+  "$schema": "https://turbo.build/schema.json",
  "extends": ["//"],
  "tasks": {
    "build": {
@@ -1,5 +1,14 @@
 # @llamaindex/experimental

+## 0.0.160
+
+### Patch Changes
+
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+- Updated dependencies [40ee761]
+  - llamaindex@0.9.10
+
 ## 0.0.159

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/experimental",
  "description": "Experimental package for LlamaIndexTS",
-  "version": "0.0.159",
+  "version": "0.0.160",
  "type": "module",
  "types": "dist/type/index.d.ts",
  "main": "dist/cjs/index.js",
@@ -1,5 +1,21 @@
 # llamaindex

+## 0.9.10
+
+### Patch Changes
+
+- c1b5be5: feat: make AgentWorkflow llm param optional
+- 40ee761: Add factory methods tool, agent and multiAgent to simplify agent usage
+- 40ee761: feat: add asQueryTool to index
+- Updated dependencies [aea550a]
+- Updated dependencies [c1b5be5]
+- Updated dependencies [40ee761]
+  - @llamaindex/openai@0.1.60
+  - @llamaindex/workflow@0.0.16
+  - @llamaindex/core@0.5.8
+  - @llamaindex/cloud@3.0.9
+  - @llamaindex/node-parser@1.0.8
+
 ## 0.9.9

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "llamaindex",
-  "version": "0.9.9",
+  "version": "0.9.10",
  "license": "MIT",
  "type": "module",
  "keywords": [
@@ -67,6 +67,7 @@ export * from "@llamaindex/core/storage/index-store";
 export * from "@llamaindex/core/storage/kv-store";
 export * from "@llamaindex/core/utils";
 export * from "@llamaindex/openai";
+export * from "@llamaindex/workflow";
 export * from "@llamaindex/workflow/agent";
 export * from "./agent/index.js";
 export * from "./cloud/index.js";
@@ -2,15 +2,21 @@ import type {
  BaseChatEngine,
  ContextChatEngineOptions,
 } from "@llamaindex/core/chat-engine";
+import type { ToolMetadata } from "@llamaindex/core/llms";
 import type { BaseQueryEngine } from "@llamaindex/core/query-engine";
 import type { BaseSynthesizer } from "@llamaindex/core/response-synthesizers";
 import type { BaseRetriever } from "@llamaindex/core/retriever";
 import type { BaseNode, Document } from "@llamaindex/core/schema";
 import type { BaseDocumentStore } from "@llamaindex/core/storage/doc-store";
 import type { BaseIndexStore } from "@llamaindex/core/storage/index-store";
+import type { JSONSchemaType } from "ajv";
 import { runTransformations } from "../ingestion/IngestionPipeline.js";
 import { Settings } from "../Settings.js";
 import type { StorageContext } from "../storage/StorageContext.js";
+import {
+  type QueryEngineParam,
+  QueryEngineTool,
+} from "../tools/QueryEngineTool.js";

 export interface BaseIndexInit<T> {
  storageContext: StorageContext;
@@ -19,6 +25,24 @@ export interface BaseIndexInit<T> {
  indexStruct: T;
 }

+/**
+ * Common parameter type for queryTool and asQueryTool
+ */
+export type QueryToolParams = (
+  | {
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+      options: any;
+      retriever?: never;
+    }
+  | {
+      options?: never;
+      retriever?: BaseRetriever;
+    }
+) & {
+  responseSynthesizer?: BaseSynthesizer;
+  metadata?: ToolMetadata<JSONSchemaType<QueryEngineParam>> | undefined;
+};
+
 /**
 * Indexes are the data structure that we store our nodes and embeddings in so
 * they can be retrieved for our queries.
@@ -61,6 +85,22 @@ export abstract class BaseIndex<T> {
    options?: Omit<ContextChatEngineOptions, "retriever">,
  ): BaseChatEngine;

+  /**
+   * Returns a query tool by calling asQueryEngine.
+   * Either options or retriever can be passed, but not both.
+   * If options are provided, they are passed to generate a retriever.
+   */
+  asQueryTool(params: QueryToolParams): QueryEngineTool {
+    if (params.options) {
+      params.retriever = this.asRetriever(params.options);
+    }
+
+    return new QueryEngineTool({
+      queryEngine: this.asQueryEngine(params),
+      metadata: params?.metadata,
+    });
+  }
+
  /**
   * Insert a document into the index.
   * @param document
@@ -76,4 +116,33 @@ export abstract class BaseIndex<T> {
    refDocId: string,
    deleteFromDocStore?: boolean,
  ): Promise<void>;
+
+  /**
+   * Alias for asRetriever
+   * @param options
+   */
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  retriever(options?: any): BaseRetriever {
+    return this.asRetriever(options);
+  }
+
+  /**
+   * Alias for asQueryEngine
+   * @param options you can supply your own custom Retriever and ResponseSynthesizer
+   */
+  queryEngine(options?: {
+    retriever?: BaseRetriever;
+    responseSynthesizer?: BaseSynthesizer;
+  }): BaseQueryEngine {
+    return this.asQueryEngine(options);
+  }
+
+  /**
+   * Alias for asQueryTool
+   * Either options or retriever can be passed, but not both.
+   * If options are provided, they are passed to generate a retriever.
+   */
+  queryTool(params: QueryToolParams): QueryEngineTool {
+    return this.asQueryTool(params);
+  }
 }
@@ -19,7 +19,7 @@ const DEFAULT_PARAMETERS: JSONSchemaType<QueryEngineParam> = {

 export type QueryEngineToolParams = {
  queryEngine: BaseQueryEngine;
-  metadata: ToolMetadata<JSONSchemaType<QueryEngineParam>>;
+  metadata?: ToolMetadata<JSONSchemaType<QueryEngineParam>> | undefined;
 };

 export type QueryEngineParam = {
@@ -1,5 +1,12 @@
 # @llamaindex/node-parser

+## 1.0.8
+
+### Patch Changes
+
+- Updated dependencies [40ee761]
+  - @llamaindex/core@0.5.8
+
 ## 1.0.7

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/node-parser",
-  "version": "1.0.7",
+  "version": "1.0.8",
  "description": "Node parser for LlamaIndex",
  "type": "module",
  "exports": {
@@ -43,7 +43,7 @@
    "@llamaindex/env": "workspace:*",
    "@types/html-to-text": "^9.0.4",
    "@types/node": "^22.9.0",
-    "bunchee": "6.3.4",
+    "bunchee": "6.4.0",
    "tree-sitter": "^0.22.1",
    "web-tree-sitter": "^0.24.4"
  },
@@ -1,4 +1,5 @@
 {
+  "$schema": "https://turbo.build/schema.json",
  "extends": ["//"],
  "tasks": {
    "build": {
@@ -1,5 +1,13 @@
 # @llamaindex/anthropic

+## 0.2.6
+
+### Patch Changes
+
+- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
+- Updated dependencies [40ee761]
+  - @llamaindex/core@0.5.8
+
 ## 0.2.5

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/anthropic",
  "description": "Anthropic Adapter for LlamaIndex",
-  "version": "0.2.5",
+  "version": "0.2.6",
  "type": "module",
  "main": "./dist/index.cjs",
  "module": "./dist/index.js",
@@ -31,7 +31,7 @@
    "test": "vitest run"
  },
  "devDependencies": {
-    "bunchee": "6.3.4",
+    "bunchee": "6.4.0",
    "vitest": "^2.1.5"
  },
  "dependencies": {
@@ -1,14 +1,2 @@
-export {
-  AnthropicAgent,
-  AnthropicAgentWorker,
-  type AnthropicAgentParams,
-} from "./agent";
-export {
-  ALL_AVAILABLE_ANTHROPIC_LEGACY_MODELS,
-  ALL_AVAILABLE_ANTHROPIC_MODELS,
-  ALL_AVAILABLE_V3_5_MODELS,
-  ALL_AVAILABLE_V3_MODELS,
-  Anthropic,
-  AnthropicSession,
-  type AnthropicAdditionalChatOptions,
-} from "./llm";
+export * from "./agent";
+export * from "./llm";
@@ -60,7 +60,7 @@ const defaultAnthropicSession: {
 * @param options
 * @returns
 */
-export function getAnthropicSession(options: ClientOptions = {}) {
+function getAnthropicSession(options: ClientOptions = {}) {
  let session = defaultAnthropicSession.find((session) => {
    return isDeepEqual(session.options, options);
  })?.session;
@@ -586,3 +586,11 @@ export class Anthropic extends ToolCallLLM<
    };
  }
 }
+
+/**
+ * Convenience function to create a new Anthropic instance.
+ * @param init - Optional initialization parameters for the Anthropic instance.
+ * @returns A new Anthropic instance.
+ */
+export const anthropic = (init?: ConstructorParameters<typeof Anthropic>[0]) =>
+  new Anthropic(init);
@@ -1,5 +1,14 @@
 # @llamaindex/clip

+## 0.0.44
+
+### Patch Changes
+
+- Updated dependencies [aea550a]
+- Updated dependencies [40ee761]
+  - @llamaindex/openai@0.1.60
+  - @llamaindex/core@0.5.8
+
 ## 0.0.43

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/clip",
  "description": "Clip Embedding Adapter for LlamaIndex",
-  "version": "0.0.43",
+  "version": "0.0.44",
  "type": "module",
  "types": "dist/index.d.ts",
  "main": "dist/index.cjs",
@@ -39,7 +39,7 @@
    "dev": "bunchee --watch"
  },
  "devDependencies": {
-    "bunchee": "6.3.4"
+    "bunchee": "6.4.0"
  },
  "dependencies": {
    "@huggingface/transformers": "^3.0.2",
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
github-actions[bot]	5478ba88b1	Release 0.9.10 (#1728 ) Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: marcusschiesser <17126+marcusschiesser@users.noreply.github.com>	2025-03-11 13:47:43 +07:00
Marcus Schiesser	aea550aff4	feat: Add factory convenience factory for each LLM provider, e.g. you… (#1731 )	2025-03-11 13:42:09 +07:00
Marcus Schiesser	e66c6e25fb	feat: add `tool` factory method (#1730 )	2025-03-11 12:57:13 +07:00
Marcus Schiesser	40ee7610b2	feat: add asQueryTool to index and add factory methods for simplifying agent usage (#1715 )	2025-03-11 11:06:21 +07:00
yangqiao	c14a21bc0b	fix: Add user agent for AzureCosmosDBMongoDBVectorStore (#1729 ) Co-authored-by: yangqiao <yangqiao@microsoft.com>	2025-03-10 18:08:28 +07:00
Thomas Vanier	33f98565ab	fix: google start chat tools params (#1716 ) Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>	2025-03-10 18:07:36 +07:00
Huu Le	b5cb35a732	chore: add unit test for agent workflow (#1704 )	2025-03-10 16:44:49 +07:00
Thuc Pham	c1b5be5182	feat: make AgentWorkflow llm param optional (#1727 )	2025-03-10 11:48:51 +07:00
Alex Yang	6f8b68ac5f	chore: fix `turbo.json` (#1724 )	2025-03-09 01:45:28 -08:00
Alex Yang	e075643b50	chore: bump `bunchee` (#1725 )	2025-03-09 01:33:33 -08:00
Alex Yang	f71b143ceb	chore: add tailwindcss prettier (#1723 )	2025-03-09 01:11:27 -08:00
Alex Yang	ead4a80a3a	feat(docs): improve misc (#1722 )	2025-03-09 00:57:47 -08:00
Alex Yang	da78689e24	fix(docs): use `docs.toFumadocsSource` (#1721 )	2025-03-09 00:34:49 -08:00