Release 0.12.0 (#2204 )

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: marcusschiesser <17126+marcusschiesser@users.noreply.github.com>
chore: replace cloud package with llama-cloud-services (#2145 )
2026-07-09 11:25:43 -04:00 · 2025-09-15 12:28:24 +08:00 · 2025-09-15 12:09:17 +08:00 · 2025-09-15 10:52:50 +08:00 · 2025-09-15 10:51:06 +08:00 · 2025-09-12 10:32:22 +08:00
203 changed files with 1524 additions and 41347 deletions
@@ -122,7 +122,6 @@ jobs:
          - nextjs-edge-runtime
          - nextjs-node-runtime
          - waku-query-engine
-          - llama-parse-browser
          - vite-import-llamaindex
    runs-on: ubuntu-latest
    name: Build LlamaIndex Example (${{ matrix.packages }})
@@ -1,5 +1,19 @@
 # @llamaindex/doc

+## 0.2.55
+
+### Patch Changes
+
+- Updated dependencies [06f884a]
+- Updated dependencies [06f884a]
+- Updated dependencies [d493015]
+  - @llamaindex/core@0.6.22
+  - @llamaindex/workflow@1.1.24
+  - llamaindex@0.12.0
+  - @llamaindex/node-parser@2.0.22
+  - @llamaindex/openai@0.4.20
+  - @llamaindex/readers@3.1.21
+
 ## 0.2.54

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/doc",
-  "version": "0.2.54",
+  "version": "0.2.55",
  "private": true,
  "scripts": {
    "postinstall": "fumadocs-mdx",
@@ -16,13 +16,13 @@
    "@huggingface/transformers": "^3.5.0",
    "@icons-pack/react-simple-icons": "^10.1.0",
    "@llamaindex/chat-ui-docs": "^0.1.0",
-    "@llamaindex/cloud": "workspace:*",
+    "llama-cloud-services": "^0.3.5",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/node-parser": "workspace:*",
    "@llamaindex/openai": "workspace:*",
    "@llamaindex/readers": "workspace:*",
    "@llamaindex/workflow": "workspace:*",
-    "@llamaindex/workflow-docs": "0.1.1",
+    "@llamaindex/workflow-docs": "0.1.4",
    "@mdx-js/mdx": "^3.1.0",
    "@monaco-editor/react": "^4.7.0",
    "@next/third-parties": "^15.3.4",
@@ -1,8 +1,8 @@
-import { upsertBatchPipelineDocumentsApiV1PipelinesPipelineIdDocumentsPut } from "@llamaindex/cloud/api";
 import fg from "fast-glob";
 import { fileGenerator, remarkDocGen, remarkInstall } from "fumadocs-docgen";
 import { remarkAutoTypeTable } from "fumadocs-typescript";
 import matter from "gray-matter";
+import { upsertBatchPipelineDocumentsApiV1PipelinesPipelineIdDocumentsPut } from "llama-cloud-services/api";
 import * as fs from "node:fs/promises";
 import path, { relative } from "node:path";
 import { fileURLToPath } from "node:url";
@@ -1,109 +0,0 @@
-import { ClientMDXContent } from "@/components/mdx";
-import { BotMessage } from "@/components/message";
-import { Skeleton } from "@/components/ui/skeleton";
-import { LlamaCloudRetriever } from "@/deps/cloud";
-import { ContextChatEngine } from "@llamaindex/core/chat-engine";
-import { Settings } from "@llamaindex/core/global";
-import { ChatMessage } from "@llamaindex/core/llms";
-import { OpenAI } from "@llamaindex/openai";
-import { createAI, createStreamableUI, getMutableAIState } from "ai/rsc";
-import { ReactNode } from "react";
-
-Settings.llm = new OpenAI({
-  model: "gpt-4o",
-});
-
-const retriever = new LlamaCloudRetriever({
-  apiKey: process.env.LLAMA_CLOUD_API_KEY!,
-  baseUrl: "https://api.cloud.llamaindex.ai/",
-
-  pipelineId: process.env.LLAMA_CLOUD_PIPELINE_ID!,
-});
-
-const initialAIState = {
-  messages: [],
-} as {
-  messages: ChatMessage[];
-};
-
-export type UIMessage = {
-  id: number;
-  display: ReactNode;
-};
-
-const initialUIState = {
-  messages: [],
-} as {
-  messages: UIMessage[];
-};
-
-// eslint-disable-next-line @typescript-eslint/no-explicit-any
-const runAsyncFnWithoutBlocking = (fn: (...args: any) => Promise<any>) => {
-  fn().catch((error) => {
-    console.error(error);
-  });
-};
-
-export const AIProvider = createAI({
-  initialAIState,
-  initialUIState,
-  actions: {
-    query: async (message: string): Promise<UIMessage> => {
-      "use server";
-      const chatEngine = new ContextChatEngine({ retriever });
-
-      const id = Date.now();
-      const aiState = getMutableAIState<typeof AIProvider>();
-      aiState.update({
-        ...aiState.get(),
-        messages: [
-          ...aiState.get().messages,
-          {
-            role: "user",
-            content: message,
-          },
-        ],
-      });
-
-      const ui = createStreamableUI(
-        <div className="space-y-2">
-          <Skeleton className="h-4 w-full" />
-          <Skeleton className="h-4 w-full" />
-        </div>,
-      );
-
-      runAsyncFnWithoutBlocking(async () => {
-        const response = await chatEngine.chat({
-          message,
-          chatHistory: aiState.get().messages,
-          stream: true,
-        });
-
-        let content = "";
-
-        for await (const { delta } of response) {
-          content += delta;
-          ui.update(<ClientMDXContent id={id} content={content} />);
-        }
-
-        ui.done();
-
-        aiState.done({
-          ...aiState.get(),
-          messages: [
-            ...aiState.get().messages,
-            {
-              role: "assistant",
-              content,
-            },
-          ],
-        });
-      });
-
-      return {
-        id,
-        display: <BotMessage>{ui.value}</BotMessage>,
-      };
-    },
-  },
-});
@@ -1,4 +1,3 @@
-import { AIProvider } from "@/actions";
 import { TooltipProvider } from "@/components/ui/tooltip";
 import { GoogleAnalytics, GoogleTagManager } from "@next/third-parties/google";
 import { RootProvider } from "fumadocs-ui/provider";
@@ -39,9 +38,7 @@ export default function Layout({ children }: { children: ReactNode }) {
      <GoogleTagManager gtmId="GTM-WWRFB36R" />
      <body className="flex min-h-screen flex-col">
        <TooltipProvider>
-          <AIProvider>
-            <RootProvider>{children}</RootProvider>
-          </AIProvider>
+          <RootProvider>{children}</RootProvider>
        </TooltipProvider>
      </body>
      <GoogleAnalytics gaId="G-NB9B8LW9W5" />
@@ -1,143 +0,0 @@
-"use client";
-import type { AIProvider, UIMessage } from "@/actions";
-import { UserMessage } from "@/components/message";
-import { useActions, useUIState } from "ai/rsc";
-import { Info } from "lucide-react";
-import { ButtonHTMLAttributes, useState } from "react";
-import { Alert, AlertDescription, AlertTitle } from "./ui/alert";
-import { Button } from "./ui/button";
-import {
-  Dialog,
-  DialogContent,
-  DialogDescription,
-  DialogHeader,
-  DialogOverlay,
-  DialogPortal,
-  DialogTitle,
-  DialogTrigger,
-} from "./ui/dialog";
-import { Textarea } from "./ui/textarea";
-import { Tooltip, TooltipContent, TooltipTrigger } from "./ui/tooltip";
-
-type AITriggerProps = ButtonHTMLAttributes<HTMLButtonElement>;
-
-function ChatList({ messages }: { messages: UIMessage[] }) {
-  if (messages.length === 0) {
-    return null;
-  }
-
-  return (
-    <div className="relative mx-auto w-full px-4">
-      {messages.map((message, index) => (
-        <div key={index} className="pb-4">
-          {message.display}
-        </div>
-      ))}
-    </div>
-  );
-}
-
-export const AITrigger = (props: AITriggerProps) => {
-  const [{ messages }, setUIState] = useUIState<typeof AIProvider>();
-  const { query } = useActions<typeof AIProvider>();
-  const [inputValue, setInputValue] = useState("");
-  return (
-    <Dialog>
-      <DialogTrigger {...props} />
-      <DialogPortal>
-        <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="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>
-            <DialogDescription className="sr-only">
-              Ask AI some questions.
-            </DialogDescription>
-            <Alert>
-              <Info className="size-4" />
-              <AlertTitle>Heads up!</AlertTitle>
-              <AlertDescription>
-                Answers from LlamaCloud may be inaccurate, please use with
-                discretion.
-              </AlertDescription>
-            </Alert>
-          </DialogHeader>
-          <div className="mt-4 flex-grow overflow-scroll">
-            <ChatList messages={messages} />
-          </div>
-          <form
-            className="space-y-4 px-4 py-2"
-            action={async () => {
-              const value = inputValue.trim();
-              setInputValue("");
-              if (!value) return;
-
-              // Add user message UI
-              setUIState((state) => ({
-                ...state,
-                messages: [
-                  ...state.messages,
-                  {
-                    id: Date.now(),
-                    display: <UserMessage>{value}</UserMessage>,
-                  },
-                ],
-              }));
-
-              try {
-                // Submit and get response message
-                const responseMessage = await query(value);
-                setUIState((state) => ({
-                  ...state,
-                  messages: [...state.messages, responseMessage],
-                }));
-              } catch (error) {
-                // You may want to show a toast or trigger an error state.
-                console.error(error);
-              }
-            }}
-          >
-            <div className="flex w-full flex-row items-center gap-2">
-              <Textarea
-                tabIndex={0}
-                placeholder="Ask AI about documentation."
-                className="w-full resize-none bg-transparent px-4 focus-within:outline-none sm:text-sm"
-                onKeyDown={(event) => {
-                  if (event.key === "Enter" && !event.shiftKey) {
-                    event.preventDefault();
-                    event.currentTarget.form?.requestSubmit(null);
-                  }
-                }}
-                autoFocus
-                spellCheck={false}
-                autoComplete="off"
-                autoCorrect="off"
-                name="message"
-                rows={1}
-                value={inputValue}
-                onChange={(e) => setInputValue(e.target.value)}
-              />
-              <Tooltip>
-                <TooltipTrigger asChild>
-                  <Button
-                    type="submit"
-                    size="icon"
-                    disabled={inputValue === ""}
-                  >
-                    <span className="sr-only">Send message</span>
-                  </Button>
-                </TooltipTrigger>
-                <TooltipContent>Send message</TooltipContent>
-              </Tooltip>
-            </div>
-          </form>
-        </DialogContent>
-      </DialogPortal>
-    </Dialog>
-  );
-};
@@ -38,7 +38,8 @@ Here's how to create a simple vector store index and query it using Vercel's AI
 import { openai } from "@ai-sdk/openai";
 import { llamaindex } from "@llamaindex/vercel";
 import { streamText } from "ai";
-import { Document, VectorStoreIndex } from "llamaindex";
+import { Document } from "llamaindex";
+import { LlamaCloudIndex } from "llama-cloud-services";

 // Create an index from your documents
 const document = new Document({ text: yourText, id_: "unique-id" });
@@ -69,7 +70,7 @@ streamText({
 For production deployments, you can use LlamaCloud to store and manage your documents:

 ```typescript
-import { LlamaCloudIndex } from "@llamaindex/cloud";
+import { LlamaCloudIndex } from "llama-cloud-services";

 // Create a LlamaCloud index
 const index = await LlamaCloudIndex.fromDocuments({
@@ -37,6 +37,58 @@ console.log(result.data.result); // Baby Llama is called cria
 console.log(result.data.message); // { role: 'assistant', content: 'Baby Llama is called cria' }
 ```

+### Structured Output
+
+You can extract structured data from agent responses by providing a `responseFormat` with a Zod schema. This is useful when you need the agent's response in a specific format for further processing:
+
+```typescript
+import { z } from "zod";
+import { tool } from "llamaindex";
+import { agent } from "@llamaindex/workflow";
+import { openai } from "@llamaindex/openai";
+
+// Define a weather tool
+const weatherTool = tool({
+  name: "weatherTool",
+  description: "Get weather information",
+  parameters: z.object({
+    location: z.string(),
+  }),
+  execute: ({ location }) => {
+    return `The weather in ${location} is sunny. The temperature is 72 degrees. The humidity is 50%. The wind speed is 10 mph.`;
+  },
+});
+
+// Define the structure you want for the response
+const responseSchema = z.object({
+  temperature: z.number(),
+  humidity: z.number(),
+  windSpeed: z.number(),
+});
+
+// Create the agent
+const weatherAgent = agent({
+  name: "weatherAgent",
+  tools: [weatherTool],
+  llm: openai({ model: "gpt-4.1-mini" }),
+});
+
+// Run with structured output
+const result = await weatherAgent.run("What's the weather in Tokyo?", {
+  responseFormat: responseSchema,
+});
+
+console.log("Natural language result:", result.data.result);
+console.log("Structured data:", result.data.object);
+// Output: { temperature: 72, humidity: 50, windSpeed: 10 }
+```
+
+The agent will:
+1. Use the weather tool to get the raw weather information
+2. Process that information through the LLM
+3. Extract structured data according to your schema
+4. Return both the natural language response and the structured object
+
 ### Event Streaming

 Agent Workflows provide a unified interface for event streaming, making it easy to track and respond to different events during execution:
@@ -9,6 +9,7 @@ Sometimes your need more control over LLM interactions than what high-level agen
 Use `llm.exec` when you need to:
 - Build custom agent logic in [workflow](/docs/llamaindex/modules/agents/workflows) steps
 - Have precise control over message handling and tool execution
+- Extract structured data from LLM responses

 ## Basic Usage

@@ -51,6 +52,38 @@ messages.push(...newMessages);

 > `newMessages` is an array as each tool call generates two messages: a tool call message and the tool call result message.

+## Structured Output
+
+You can use `responseFormat` with a Zod schema to get structured data from the LLM response:
+
+```ts
+import { openai } from "@llamaindex/openai";
+import { ChatMessage } from "llamaindex";
+import z from "zod";
+
+const llm = openai({ model: "gpt-4.1-mini" });
+
+const schema = z.object({
+  title: z.string(),
+  author: z.string(),
+  year: z.number(),
+});
+
+const messages = [
+  {
+    role: "user",
+    content: "I have been reading La Divina Commedia by Dante Alighieri, published in 1321",
+  } as ChatMessage,
+];
+
+const { newMessages, toolCalls, object } = await llm.exec({
+  messages,
+  responseFormat: schema,
+});
+
+console.log(object); // { title: "La Divina Commedia", author: "Dante Alighieri", year: 1321 }
+```
+
 ## Agent Loop Pattern

 A common pattern is to use `llm.exec` in a loop until the LLM stops making tool calls:
@@ -102,7 +135,7 @@ For real-time responses, use the `stream` option to get the assistant's response

 ```ts
 import { openai } from "@llamaindex/openai";
-import { tool } from "llamaindex";
+import { ChatMessage, tool } from "llamaindex";
 import z from "zod";

 async function streamingAgentLoop() {
@@ -153,6 +186,7 @@ async function streamingAgentLoop() {

 - **`newMessages`**: Array of new chat messages including the LLM response and any tool call messages (call or result). This is a function return the array when streaming.
 - **`toolCalls`**: Array of tool calls made by the LLM
+- **`object`**: The structured object when using `responseFormat` with a Zod schema (undefined if no schema is provided)
 - **`stream`**: Async iterable for streaming responses (only when `stream: true`)

 ## Best Practices
@@ -161,4 +195,4 @@ For using `llm.exec` in an agent loop, take care to:

 1. **Maintain message history**: Always add `newMessages` to your conversation history
 2. **Set exit conditions**: Implement proper logic to avoid infinite loops
-
+3. **Handle structured output**: When using `responseFormat`, the `object` property contains your parsed data
@@ -28,5 +28,4 @@ Here's an example of how to use a managed index together with a chat engine:

 ## API Reference

- [LlamaCloudIndex](/docs/api/classes/LlamaCloudIndex)
- [LlamaCloudRetriever](/docs/api/classes/LlamaCloudRetriever)
+- [LlamaCloud Documentation](https://docs.cloud.llamaindex.ai/)
@@ -78,7 +78,7 @@ As the `PDFReader` is not working with the Edge runtime, here's how to use the `

 ```typescript
 import { SimpleDirectoryReader } from "@llamaindex/readers/directory";
-import { LlamaParseReader } from "@llamaindex/cloud";
+import { LlamaParseReader } from "llama-cloud-services";

 export const DATA_DIR = "./data";

@@ -7,7 +7,7 @@ LlamaParse `json` mode supports extracting any images found in a page object by
 ## Installation

 ```package-install
-npm i llamaindex @llamaindex/cloud @llamaindex/openai
+npm i llamaindex llama-cloud-services @llamaindex/openai
 ```

 ## Usage
@@ -26,7 +26,7 @@ You can create an index across both text and image nodes by requesting alternati

 ```ts
 import { Document, ImageNode, VectorStoreIndex } from "llamaindex";
-import { LlamaParseReader } from "@llamaindex/cloud";
+import { LlamaParseReader } from "llama-cloud-services";
 import { OpenAI } from "@llamaindex/openai";
 import { createMessageContent } from "llamaindex";

@@ -7,7 +7,7 @@ In JSON mode, LlamaParse will return a data structure representing the parsed ob
 ## Installation

 ```package-install
-npm i llamaindex @llamaindex/cloud
+npm i llamaindex llama-cloud-services
 ```

 ## Usage
@@ -16,7 +16,7 @@ For Json mode, you need to use `loadJson`. The `resultType` is automatically set
 More information about indexing the results on the next page.

 ```ts
-import { LlamaParseReader } from "@llamaindex/cloud";
+import { LlamaParseReader } from "llama-cloud-services";

 const reader = new LlamaParseReader();
 async function main() {
@@ -68,7 +68,7 @@ However, a simple work around is to create a new reader class that extends `Llam

 ```ts
 import { Document } from "llamaindex";
-import { LlamaParseReader } from "@llamaindex/cloud";
+import { LlamaParseReader } from "llama-cloud-services";

 class LlamaParseReaderWithJson extends LlamaParseReader {
  // Override the loadData method
@@ -4,7 +4,6 @@ title: Retriever

 A retriever in LlamaIndex is what is used to fetch `Node`s from an index using a query string.

- [LlamaCloudRetriever](/docs/api/classes/LlamaCloudRetriever) to retrieve nodes from a [managed index](/docs/llamaindex/modules/data/data_index/managed)
 - [VectorIndexRetriever](/docs/api/classes/VectorIndexRetriever) will fetch the top-k most similar nodes. Ideal for dense retrieval to find most relevant nodes.
 - [SummaryIndexRetriever](/docs/api/classes/SummaryIndexRetriever) will fetch all nodes no matter the query. Ideal when complete context is necessary, e.g. analyzing large datasets.
 - [SummaryIndexLLMRetriever](/docs/api/classes/SummaryIndexLLMRetriever) utilizes an LLM to score and filter nodes based on relevancy to the query.
@@ -1,96 +0,0 @@
-import {
-  type MetadataFilter,
-  type MetadataFilters,
-  type RetrievalParams,
-  runSearchApiV1PipelinesPipelineIdRetrievePost,
-  type TextNodeWithScore,
-} from "@llamaindex/cloud/api";
-import { QueryBundle } from "@llamaindex/core/query-engine";
-import { BaseRetriever } from "@llamaindex/core/retriever";
-import { jsonToNode, NodeWithScore, ObjectType } from "@llamaindex/core/schema";
-import { extractText } from "@llamaindex/core/utils";
-
-export type CloudRetrieveParams = Omit<
-  RetrievalParams,
-  "query" | "search_filters" | "dense_similarity_top_k"
-> & { similarityTopK?: number; filters?: MetadataFilters };
-
-export type LlamaCloudRetrieverParams = {
-  apiKey: string;
-  baseUrl: string;
-  pipelineId: string;
-} & CloudRetrieveParams;
-
-export class LlamaCloudRetriever extends BaseRetriever {
-  baseUrl: string;
-  apiKey: string;
-
-  retrieveParams: CloudRetrieveParams;
-  organizationId?: string;
-  pipelineId: string;
-
-  private resultNodesToNodeWithScore(
-    nodes: TextNodeWithScore[],
-  ): NodeWithScore[] {
-    return nodes.map((node: TextNodeWithScore) => {
-      const textNode = jsonToNode(node.node, ObjectType.TEXT);
-      textNode.metadata = {
-        ...textNode.metadata,
-        ...node.node.extra_info,
-      };
-      return {
-        node: textNode,
-        score: node.score ?? undefined,
-      };
-    });
-  }
-
-  private convertFilter(filters?: MetadataFilters): MetadataFilters | null {
-    if (!filters) return null;
-
-    const processFilter = (
-      filter: MetadataFilter | MetadataFilters,
-    ): MetadataFilter | MetadataFilters => {
-      if ("filters" in filter) {
-        // type MetadataFilters
-        return { ...filter, filters: filter.filters.map(processFilter) };
-      }
-      return { ...filter, value: filter.value ?? null };
-    };
-
-    return { ...filters, filters: filters.filters.map(processFilter) };
-  }
-
-  constructor(params: LlamaCloudRetrieverParams) {
-    super();
-    this.baseUrl = params.baseUrl;
-    this.apiKey = params.apiKey;
-    this.retrieveParams = params;
-    this.pipelineId = params.pipelineId;
-  }
-
-  override async _retrieve(query: QueryBundle): Promise<NodeWithScore[]> {
-    const filters = this.convertFilter(this.retrieveParams.filters);
-    const pipelineId = this.pipelineId;
-
-    const { data: results } =
-      await runSearchApiV1PipelinesPipelineIdRetrievePost({
-        throwOnError: true,
-        path: {
-          pipeline_id: pipelineId,
-        },
-        baseUrl: this.baseUrl,
-        body: {
-          ...this.retrieveParams,
-          query: extractText(query),
-          search_filters: filters,
-          dense_similarity_top_k: this.retrieveParams.similarityTopK!,
-        },
-        headers: {
-          authorization: `Bearer ${this.apiKey}`,
-        },
-      });
-
-    return this.resultNodesToNodeWithScore(results.retrieval_nodes);
-  }
-}
@@ -15,6 +15,6 @@
    "wrangler": "^3.89.0"
  },
  "dependencies": {
-    "hono": "^4.6.11"
+    "hono": "^4.9.7"
  }
 }
@@ -1,5 +1,12 @@
 # @llamaindex/cloudflare-worker-agent-test

+## 0.0.191
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+
 ## 0.0.190

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/cloudflare-worker-agent-test",
-  "version": "0.0.190",
+  "version": "0.0.191",
  "type": "module",
  "private": true,
  "scripts": {
@@ -1,24 +0,0 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-lerna-debug.log*
-
-node_modules
-dist
-dist-ssr
-*.local
-
-# Editor directories and files
-.vscode/*
-!.vscode/extensions.json
-.idea
-.DS_Store
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
-*.sw?
@@ -1,563 +0,0 @@
-# @llamaindex/llama-parse-browser-test
-
-## 0.0.87
-
-### Patch Changes
-
- @llamaindex/cloud@4.1.3
-
-## 0.0.86
-
-### Patch Changes
-
- @llamaindex/cloud@4.1.2
-
-## 0.0.85
-
-### Patch Changes
-
- Updated dependencies [4b51791]
-  - @llamaindex/cloud@4.1.1
-
-## 0.0.84
-
-### Patch Changes
-
- Updated dependencies [049471b]
-  - @llamaindex/cloud@4.1.0
-
-## 0.0.83
-
-### Patch Changes
-
- Updated dependencies [c3bf3c7]
-  - @llamaindex/cloud@4.0.28
-
-## 0.0.82
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.27
-
-## 0.0.81
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.26
-
-## 0.0.80
-
-### Patch Changes
-
- Updated dependencies [2967d57]
-  - @llamaindex/cloud@4.0.25
-
-## 0.0.79
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.24
-
-## 0.0.78
-
-### Patch Changes
-
- Updated dependencies [a1b1598]
-  - @llamaindex/cloud@4.0.23
-
-## 0.0.77
-
-### Patch Changes
-
- Updated dependencies [d2be868]
-  - @llamaindex/cloud@4.0.22
-
-## 0.0.76
-
-### Patch Changes
-
- Updated dependencies [579ca0c]
-  - @llamaindex/cloud@4.0.21
-
-## 0.0.75
-
-### Patch Changes
-
- Updated dependencies [48b0d88]
- Updated dependencies [f185772]
-  - @llamaindex/cloud@4.0.20
-
-## 0.0.74
-
-### Patch Changes
-
- Updated dependencies [5a0ed1f]
- Updated dependencies [5a0ed1f]
-  - @llamaindex/cloud@4.0.19
-
-## 0.0.73
-
-### Patch Changes
-
- Updated dependencies [47a7555]
-  - @llamaindex/cloud@4.0.18
-
-## 0.0.72
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.17
-
-## 0.0.71
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.16
-
-## 0.0.70
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.15
-
-## 0.0.69
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.14
-
-## 0.0.68
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.13
-
-## 0.0.67
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.12
-
-## 0.0.66
-
-### Patch Changes
-
- Updated dependencies [76ff23d]
-  - @llamaindex/cloud@4.0.11
-
-## 0.0.65
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.10
-
-## 0.0.64
-
-### Patch Changes
-
- Updated dependencies [3703f90]
-  - @llamaindex/cloud@4.0.9
-
-## 0.0.63
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.8
-
-## 0.0.62
-
-### Patch Changes
-
- Updated dependencies [40f5f41]
-  - @llamaindex/cloud@4.0.7
-
-## 0.0.61
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.6
-
-## 0.0.60
-
-### Patch Changes
-
- Updated dependencies [2225ffd]
-  - @llamaindex/cloud@4.0.5
-
-## 0.0.59
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.4
-
-## 0.0.58
-
-### Patch Changes
-
- Updated dependencies [41191d0]
-  - @llamaindex/cloud@4.0.3
-
-## 0.0.57
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.2
-
-## 0.0.56
-
-### Patch Changes
-
- @llamaindex/cloud@4.0.1
-
-## 0.0.55
-
-### Patch Changes
-
- Updated dependencies [bf56fc0]
- Updated dependencies [5189b44]
-  - @llamaindex/cloud@4.0.0
-
-## 0.0.54
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.9
-
-## 0.0.53
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.8
-
-## 0.0.52
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.7
-
-## 0.0.51
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.6
-
-## 0.0.50
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.5
-
-## 0.0.49
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.4
-
-## 0.0.48
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.3
-
-## 0.0.47
-
-### Patch Changes
-
- Updated dependencies [c902fcb]
-  - @llamaindex/cloud@3.0.2
-
-## 0.0.46
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.1
-
-## 0.0.45
-
-### Patch Changes
-
- @llamaindex/cloud@3.0.0
-
-## 0.0.44
-
-### Patch Changes
-
- Updated dependencies [1c908fd]
-  - @llamaindex/cloud@2.0.24
-
-## 0.0.43
-
-### Patch Changes
-
- Updated dependencies [cb608b5]
-  - @llamaindex/cloud@2.0.23
-
-## 0.0.42
-
-### Patch Changes
-
- Updated dependencies [d6c270e]
-  - @llamaindex/cloud@2.0.22
-
-## 0.0.41
-
-### Patch Changes
-
- Updated dependencies [5dec9f9]
- Updated dependencies [fd9c829]
-  - @llamaindex/cloud@2.0.21
-
-## 0.0.40
-
-### Patch Changes
-
- Updated dependencies [012495b]
-  - @llamaindex/cloud@2.0.20
-
-## 0.0.39
-
-### Patch Changes
-
- @llamaindex/cloud@2.0.19
-
-## 0.0.38
-
-### Patch Changes
-
- @llamaindex/cloud@2.0.18
-
-## 0.0.37
-
-### Patch Changes
-
- @llamaindex/cloud@2.0.17
-
-## 0.0.36
-
-### Patch Changes
-
- Updated dependencies [8be4589]
-  - @llamaindex/cloud@2.0.16
-
-## 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
-
- @llamaindex/cloud@2.0.5
-
-## 0.0.24
-
-### Patch Changes
-
- @llamaindex/cloud@2.0.4
-
-## 0.0.23
-
-### Patch Changes
-
- @llamaindex/cloud@2.0.3
-
-## 0.0.22
-
-### Patch Changes
-
- @llamaindex/cloud@2.0.2
-
-## 0.0.21
-
-### Patch Changes
-
- @llamaindex/cloud@2.0.1
-
-## 0.0.20
-
-### Patch Changes
-
- @llamaindex/cloud@2.0.0
-
-## 0.0.19
-
-### Patch Changes
-
- @llamaindex/cloud@1.0.8
-
-## 0.0.18
-
-### Patch Changes
-
- @llamaindex/cloud@1.0.7
-
-## 0.0.17
-
-### Patch Changes
-
- @llamaindex/cloud@1.0.6
-
-## 0.0.16
-
-### Patch Changes
-
- @llamaindex/cloud@1.0.5
-
-## 0.0.15
-
-### Patch Changes
-
- Updated dependencies [06f632b]
-  - @llamaindex/cloud@1.0.4
-
-## 0.0.14
-
-### Patch Changes
-
- @llamaindex/cloud@1.0.3
-
-## 0.0.13
-
-### Patch Changes
-
- @llamaindex/cloud@1.0.2
-
-## 0.0.12
-
-### Patch Changes
-
- Updated dependencies [4c38c1b]
- Updated dependencies [24d065f]
- Updated dependencies [a75af83]
-  - @llamaindex/cloud@1.0.1
-
-## 0.0.11
-
-### Patch Changes
-
- @llamaindex/cloud@1.0.0
-
-## 0.0.10
-
-### Patch Changes
-
- @llamaindex/cloud@0.2.14
-
-## 0.0.9
-
-### Patch Changes
-
- @llamaindex/cloud@0.2.13
-
-## 0.0.8
-
-### Patch Changes
-
- @llamaindex/cloud@0.2.12
-
-## 0.0.7
-
-### Patch Changes
-
- Updated dependencies [0b20ff9]
-  - @llamaindex/cloud@0.2.11
-
-## 0.0.6
-
-### Patch Changes
-
- Updated dependencies [981811e]
-  - @llamaindex/cloud@0.2.10
-
-## 0.0.5
-
-### Patch Changes
-
- Updated dependencies [df441e2]
-  - @llamaindex/cloud@0.2.9
-
-## 0.0.4
-
-### Patch Changes
-
- Updated dependencies [ac41ed3]
-  - @llamaindex/cloud@0.2.8
-
-## 0.0.3
-
-### Patch Changes
-
- Updated dependencies [fb36eff]
- Updated dependencies [d24d3d1]
-  - @llamaindex/cloud@0.2.7
-
-## 0.0.2
-
-### Patch Changes
-
- Updated dependencies [b42adeb]
-  - @llamaindex/cloud@0.2.6
-
-## 0.0.1
-
-### Patch Changes
-
- Updated dependencies [85c2e19]
-  - @llamaindex/cloud@0.2.5
@@ -1,111 +0,0 @@
-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with the LlamaParse Browser Test example.
-
-## Package Overview
-
-The `@llamaindex/llama-parse-browser-test` package is a minimal browser-based example that demonstrates how to use LlamaParse (from `@llamaindex/cloud`) in a web browser environment. This serves as both an integration test and a reference implementation for browser compatibility with LlamaIndexTS cloud services.
-
-## Purpose
-
-This example validates that:
-
- `@llamaindex/cloud` package works correctly in browser environments
- LlamaParse functionality can be bundled and run in web applications
- The build process properly handles WASM dependencies and browser-specific requirements
- TypeScript compilation works with DOM APIs and modern bundler tooling
-
-## Development Commands
-
- `npm run dev` - Start Vite development server with hot reload
- `npm run build` - Build for production (TypeScript compilation + Vite build)
- `npm run preview` - Preview the production build locally
-
-## Architecture
-
-### Build Setup
-
-**Bundler**: Vite 6.x with TypeScript support
-**WASM Support**: Uses `vite-plugin-wasm` for WebAssembly module handling
-**Module System**: ESM-only (`"type": "module"`)
-**Target Environment**: Modern browsers (ES2020+)
-
-### Key Configuration
-
-**Vite Config (`vite.config.ts`):**
-
- `vite-plugin-wasm` - Enables WASM module imports
- `ssr.external: ["tiktoken"]` - Excludes tiktoken from SSR bundling (browser-only)
-
-**TypeScript Config (`tsconfig.json`):**
-
- Extends root monorepo TypeScript configuration
- DOM and DOM.Iterable libraries enabled for browser APIs
- Bundler module resolution for optimal Vite integration
- References `@llamaindex/cloud` package for type checking
-
-### Application Structure
-
-**Entry Point (`src/main.ts`):**
-
- Imports `LlamaParseReader` from `@llamaindex/cloud`
- Instantiates the reader to test browser compatibility
- Minimal DOM manipulation for visual feedback
-
-**Styling (`src/style.css`):**
-
- Modern CSS with light/dark theme support
- Responsive design with flexbox layout
- Clean, minimal UI suitable for testing environment
-
-**HTML (`index.html`):**
-
- Standard Vite HTML template
- Single-page application structure
- Module script loading for ES6 imports
-
-## Dependencies
-
-**Core Dependency:**
-
- `@llamaindex/cloud` (workspace) - LlamaCloud integration including LlamaParse
-
-**Development Dependencies:**
-
- `vite` - Modern build tool and development server
- `vite-plugin-wasm` - WebAssembly support for Vite
- `typescript` - TypeScript compiler and language support
-
-## Testing Integration
-
-This example functions as an end-to-end test by:
-
-1. **Import Validation**: Verifies `@llamaindex/cloud` can be imported in browser context
-2. **Instantiation Testing**: Tests that `LlamaParseReader` can be created without errors
-3. **Bundle Compatibility**: Ensures the build process handles all dependencies correctly
-4. **Runtime Verification**: Validates the application loads and runs in actual browsers
-
-## Browser Compatibility
-
-The application targets modern browsers with:
-
- ES2020 language features
- ES Modules support
- WebAssembly support (for potential WASM dependencies)
- Modern DOM APIs
-
-## Development Notes
-
- **Minimal Implementation**: Keeps the example simple to focus on integration testing
- **Cloud Service Focus**: Specifically tests browser compatibility with LlamaCloud services
- **Build Validation**: Ensures the build process works end-to-end without browser-specific issues
- **WASM Preparation**: Configured for WASM dependencies even if not currently used
- **Type Safety**: Full TypeScript integration with proper DOM type definitions
-
-## Common Issues
-
- **WASM Loading**: The `vite-plugin-wasm` handles WebAssembly module loading complexities
- **SSR Exclusions**: Tiktoken is excluded from SSR to prevent Node.js-specific dependencies in browser builds
- **Module Resolution**: Uses bundler module resolution for optimal compatibility with modern web tooling
-
-This example serves as a foundation for integrating LlamaIndexTS cloud services into web applications and validates that the core cloud functionality works correctly in browser environments.
@@ -1,13 +0,0 @@
-<!doctype html>
-<html lang="en">
-  <head>
-    <meta charset="UTF-8" />
-    <link rel="icon" type="image/svg+xml" href="/vite.svg" />
-    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Vite + TS</title>
-  </head>
-  <body>
-    <div id="app"></div>
-    <script type="module" src="/src/main.ts"></script>
-  </body>
-</html>
@@ -1,19 +0,0 @@
-{
-  "name": "@llamaindex/llama-parse-browser-test",
-  "private": true,
-  "version": "0.0.87",
-  "type": "module",
-  "scripts": {
-    "dev": "vite",
-    "build": "tsc && vite build",
-    "preview": "vite preview"
-  },
-  "devDependencies": {
-    "typescript": "^5.8.3",
-    "vite": "^6.3.6",
-    "vite-plugin-wasm": "^3.4.1"
-  },
-  "dependencies": {
-    "@llamaindex/cloud": "workspace:*"
-  }
-}
@@ -1,10 +0,0 @@
-import { LlamaParseReader } from "@llamaindex/cloud";
-import "./style.css";
-
-new LlamaParseReader();
-
-document.querySelector<HTMLDivElement>("#app")!.innerHTML = `
-  <div>
-    Hello, world!
-  </div>
-`;
@@ -1,96 +0,0 @@
-:root {
-  font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif;
-  line-height: 1.5;
-  font-weight: 400;
-
-  color-scheme: light dark;
-  color: rgba(255, 255, 255, 0.87);
-  background-color: #242424;
-
-  font-synthesis: none;
-  text-rendering: optimizeLegibility;
-  -webkit-font-smoothing: antialiased;
-  -moz-osx-font-smoothing: grayscale;
-}
-
-a {
-  font-weight: 500;
-  color: #646cff;
-  text-decoration: inherit;
-}
-a:hover {
-  color: #535bf2;
-}
-
-body {
-  margin: 0;
-  display: flex;
-  place-items: center;
-  min-width: 320px;
-  min-height: 100vh;
-}
-
-h1 {
-  font-size: 3.2em;
-  line-height: 1.1;
-}
-
-#app {
-  max-width: 1280px;
-  margin: 0 auto;
-  padding: 2rem;
-  text-align: center;
-}
-
-.logo {
-  height: 6em;
-  padding: 1.5em;
-  will-change: filter;
-  transition: filter 300ms;
-}
-.logo:hover {
-  filter: drop-shadow(0 0 2em #646cffaa);
-}
-.logo.vanilla:hover {
-  filter: drop-shadow(0 0 2em #3178c6aa);
-}
-
-.card {
-  padding: 2em;
-}
-
-.read-the-docs {
-  color: #888;
-}
-
-button {
-  border-radius: 8px;
-  border: 1px solid transparent;
-  padding: 0.6em 1.2em;
-  font-size: 1em;
-  font-weight: 500;
-  font-family: inherit;
-  background-color: #1a1a1a;
-  cursor: pointer;
-  transition: border-color 0.25s;
-}
-button:hover {
-  border-color: #646cff;
-}
-button:focus,
-button:focus-visible {
-  outline: 4px auto -webkit-focus-ring-color;
-}
-
-@media (prefers-color-scheme: light) {
-  :root {
-    color: #213547;
-    background-color: #ffffff;
-  }
-  a:hover {
-    color: #747bff;
-  }
-  button {
-    background-color: #f9f9f9;
-  }
-}
@@ -1 +0,0 @@
-/// <reference types="vite/client" />
@@ -1,26 +0,0 @@
-{
-  "extends": "../../../tsconfig.json",
-  "compilerOptions": {
-    "target": "ES2020",
-    "useDefineForClassFields": true,
-    "module": "ESNext",
-    "lib": ["ES2020", "DOM", "DOM.Iterable"],
-    "skipLibCheck": true,
-    /* Bundler mode */
-    "moduleResolution": "bundler",
-    "allowImportingTsExtensions": true,
-    "isolatedModules": true,
-    "moduleDetection": "force",
-    "noEmit": true,
-    /* Linting */
-    "strict": true,
-    "noUnusedLocals": true,
-    "noUnusedParameters": true,
-    "noFallthroughCasesInSwitch": true
-  },
-  "references": [
-    {
-      "path": "../../../packages/cloud/tsconfig.json"
-    }
-  ]
-}
@@ -1,8 +0,0 @@
-import wasm from "vite-plugin-wasm";
-
-export default {
-  plugins: [wasm()],
-  ssr: {
-    external: ["tiktoken"],
-  },
-};
@@ -1,5 +1,12 @@
 # @llamaindex/next-agent-test

+## 0.1.191
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+
 ## 0.1.190

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/next-agent-test",
-  "version": "0.1.190",
+  "version": "0.1.191",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,5 +1,12 @@
 # test-edge-runtime

+## 0.1.190
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+
 ## 0.1.189

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/nextjs-edge-runtime-test",
-  "version": "0.1.189",
+  "version": "0.1.190",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,5 +1,14 @@
 # @llamaindex/next-node-runtime

+## 0.1.62
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+  - @llamaindex/huggingface@0.1.30
+  - @llamaindex/readers@3.1.21
+
 ## 0.1.61

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/next-node-runtime-test",
-  "version": "0.1.61",
+  "version": "0.1.62",
  "private": true,
  "scripts": {
    "dev": "next dev",
@@ -1,5 +1,12 @@
 # vite-import-llamaindex

+## 0.0.57
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+
 ## 0.0.56

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "vite-import-llamaindex",
  "private": true,
-  "version": "0.0.56",
+  "version": "0.0.57",
  "type": "module",
  "scripts": {
    "build": "vite build",
@@ -1,5 +1,12 @@
 # @llamaindex/waku-query-engine-test

+## 0.0.191
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+
 ## 0.0.190

 ### Patch Changes
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/waku-query-engine-test",
-  "version": "0.0.190",
+  "version": "0.0.191",
  "type": "module",
  "private": true,
  "scripts": {
@@ -1,5 +1,58 @@
 # examples

+## 0.3.42
+
+### Patch Changes
+
+- Updated dependencies [06f884a]
+- Updated dependencies [06f884a]
+- Updated dependencies [d493015]
+  - @llamaindex/core@0.6.22
+  - @llamaindex/workflow@1.1.24
+  - llamaindex@0.12.0
+  - @llamaindex/node-parser@2.0.22
+  - @llamaindex/anthropic@0.3.25
+  - @llamaindex/assemblyai@0.1.21
+  - @llamaindex/clip@0.0.76
+  - @llamaindex/cohere@0.0.36
+  - @llamaindex/deepinfra@0.0.76
+  - @llamaindex/discord@0.1.21
+  - @llamaindex/google@0.3.22
+  - @llamaindex/huggingface@0.1.30
+  - @llamaindex/jinaai@0.0.36
+  - @llamaindex/mistral@0.1.22
+  - @llamaindex/mixedbread@0.0.36
+  - @llamaindex/notion@0.1.21
+  - @llamaindex/ollama@0.1.23
+  - @llamaindex/openai@0.4.20
+  - @llamaindex/perplexity@0.0.33
+  - @llamaindex/portkey-ai@0.0.64
+  - @llamaindex/replicate@0.0.64
+  - @llamaindex/bm25-retriever@0.0.11
+  - @llamaindex/astra@0.0.36
+  - @llamaindex/azure@0.1.37
+  - @llamaindex/chroma@0.0.36
+  - @llamaindex/elastic-search@0.1.22
+  - @llamaindex/firestore@1.0.29
+  - @llamaindex/milvus@0.1.31
+  - @llamaindex/mongodb@0.0.37
+  - @llamaindex/pinecone@0.1.22
+  - @llamaindex/postgres@0.0.65
+  - @llamaindex/qdrant@0.1.32
+  - @llamaindex/supabase@0.1.23
+  - @llamaindex/upstash@0.0.36
+  - @llamaindex/weaviate@0.0.37
+  - @llamaindex/vercel@0.1.22
+  - @llamaindex/voyage-ai@1.0.28
+  - @llamaindex/readers@3.1.21
+  - @llamaindex/tools@0.1.12
+  - @llamaindex/deepseek@0.0.38
+  - @llamaindex/fireworks@0.0.36
+  - @llamaindex/groq@0.0.92
+  - @llamaindex/together@0.0.36
+  - @llamaindex/vllm@0.0.62
+  - @llamaindex/xai@0.0.23
+
 ## 0.3.41

 ### Patch Changes
@@ -0,0 +1,39 @@
+import { z } from "zod";
+
+import { openai } from "@llamaindex/openai";
+import { agent } from "@llamaindex/workflow";
+import { tool } from "llamaindex";
+
+const weatherTool = tool({
+  name: "weatherTool",
+  description: "Get weather information",
+  parameters: z.object({
+    location: z.string(),
+  }),
+  execute: ({ location }) => {
+    return `The weather in ${location} is sunny. The temperature is 72 degrees. The humidity is 50%. The wind speed is 10 mph.`;
+  },
+});
+
+const responseSchema = z.object({
+  temperature: z.number(),
+  humidity: z.number(),
+  windSpeed: z.number(),
+});
+
+const myAgent = agent({
+  name: "myAgent",
+  tools: [weatherTool],
+  llm: openai({ model: "gpt-4.1-mini" }),
+});
+
+async function main() {
+  const result = await myAgent.run("What's the weather in Tokyo?", {
+    responseFormat: responseSchema,
+  });
+
+  console.log("result.data.result: ", result.data.result);
+  console.log("result.data.object: ", result.data.object);
+}
+
+main().catch(console.error);
@@ -0,0 +1,48 @@
+import { openai } from "@llamaindex/openai";
+import { ChatMessage } from "llamaindex";
+import z from "zod";
+
+const llm = openai({ model: "gpt-4.1-mini" });
+
+const schema = z.object({
+  title: z.string(),
+  author: z.string(),
+  year: z.number(),
+});
+
+const messages: ChatMessage[] = [
+  {
+    role: "user",
+    content: `I have been reading La Divina Commedia by Dante Alighieri, published in 1321`,
+  },
+];
+
+async function main() {
+  {
+    // Non-streaming
+    const { object } = await llm.exec({ messages, responseFormat: schema });
+    console.log("Non-streaming object:", object);
+  }
+
+  {
+    // Streaming
+    let exit = false;
+    do {
+      const { stream, newMessages, toolCalls, object } = await llm.exec({
+        messages,
+        stream: true,
+        responseFormat: schema,
+      });
+
+      for await (const chunk of stream) {
+        console.log(chunk.delta);
+      }
+      console.log("Streaming object:", object);
+
+      messages.push(...newMessages());
+      exit = toolCalls.length === 0;
+    } while (!exit);
+  }
+}
+
+main().catch(console.error);
@@ -13,6 +13,7 @@ const responseSchema = z.object({
 async function main() {
  const messages: ChatMessage[] = [];
  let toolCalls: ToolCall[] = [];
+  let object: z.infer<typeof responseSchema> | undefined;
  do {
    const result = await llm.exec({
      messages: [
@@ -27,13 +28,14 @@ async function main() {
      ],
      responseFormat: responseSchema,
    });
-    console.log(result.newMessages[0].content);
+    object = result.object;
    messages.push(...result.newMessages);
    toolCalls = result.toolCalls;
  } while (toolCalls.length == 0);

-  console.log(messages[1].content);
+  console.log(messages);
  console.log(toolCalls);
+  console.log(object);
 }

 main().catch(console.error);
@@ -1,7 +1,8 @@
 import { stdin as input, stdout as output } from "node:process";
 import readline from "node:readline/promises";

-import { ContextChatEngine, LlamaCloudIndex } from "llamaindex";
+import { LlamaCloudIndex } from "llama-cloud-services";
+import { ContextChatEngine } from "llamaindex";

 async function main() {
  const index = new LlamaCloudIndex({
@@ -4,7 +4,8 @@ import { stdin as input, stdout as output } from "node:process";

 import readline from "node:readline/promises";

-import { Document, LlamaCloudIndex } from "llamaindex";
+import { LlamaCloudIndex } from "llama-cloud-services";
+import { Document } from "llamaindex";

 async function main() {
  const path = "node_modules/llamaindex/examples/abramov.txt";
@@ -1,7 +1,7 @@
 import { stdin as input, stdout as output } from "node:process";
 import readline from "node:readline/promises";

-import { LlamaCloudIndex } from "llamaindex";
+import { LlamaCloudIndex } from "llama-cloud-services";

 async function main() {
  const index = new LlamaCloudIndex({
@@ -0,0 +1,9 @@
+# local-settings
+
+## 1.0.1
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+  - @llamaindex/openai@0.4.20
@@ -1,6 +1,6 @@
 {
  "name": "local-settings",
-  "version": "1.0.0",
+  "version": "1.0.1",
  "main": "index.js",
  "private": "true",
  "scripts": {
@@ -15,8 +15,8 @@
    "typescript": "^5.9.2"
  },
  "dependencies": {
-    "@llamaindex/openai": "^0.4.16",
+    "@llamaindex/openai": "^0.4.20",
    "express": "^5.1.0",
-    "llamaindex": "^0.11.26"
+    "llamaindex": "^0.12.0"
  }
 }
@@ -1,7 +1,8 @@
 import { openai } from "@ai-sdk/openai";
 import { llamaindex } from "@llamaindex/vercel";
 import { stepCountIs, streamText } from "ai";
-import { Document, LlamaCloudIndex } from "llamaindex";
+import { LlamaCloudIndex } from "llama-cloud-services";
+import { Document } from "llamaindex";
 import fs from "node:fs/promises";

 async function main() {
@@ -1,6 +1,6 @@
 {
  "name": "@llamaindex/examples",
-  "version": "0.3.41",
+  "version": "0.3.42",
  "private": true,
  "scripts": {
    "lint": "eslint .",
@@ -11,52 +11,52 @@
    "@azure/cosmos": "^4.1.1",
    "@azure/identity": "^4.4.1",
    "@azure/search-documents": "^12.1.0",
-    "@llamaindex/anthropic": "^0.3.24",
-    "@llamaindex/assemblyai": "^0.1.20",
-    "@llamaindex/astra": "^0.0.35",
-    "@llamaindex/azure": "^0.1.36",
-    "@llamaindex/bm25-retriever": "^0.0.10",
-    "@llamaindex/chroma": "^0.0.35",
-    "@llamaindex/clip": "^0.0.75",
-    "@llamaindex/cloud": "^4.1.3",
-    "@llamaindex/cohere": "^0.0.35",
-    "@llamaindex/core": "^0.6.21",
-    "@llamaindex/deepinfra": "^0.0.75",
-    "@llamaindex/deepseek": "^0.0.37",
-    "@llamaindex/discord": "^0.1.20",
-    "@llamaindex/elastic-search": "^0.1.21",
+    "@llamaindex/anthropic": "^0.3.25",
+    "@llamaindex/assemblyai": "^0.1.21",
+    "@llamaindex/astra": "^0.0.36",
+    "@llamaindex/azure": "^0.1.37",
+    "@llamaindex/bm25-retriever": "^0.0.11",
+    "@llamaindex/chroma": "^0.0.36",
+    "@llamaindex/clip": "^0.0.76",
+    "llama-cloud-services": "^0.3.5",
+    "@llamaindex/cohere": "^0.0.36",
+    "@llamaindex/core": "^0.6.22",
+    "@llamaindex/deepinfra": "^0.0.76",
+    "@llamaindex/deepseek": "^0.0.38",
+    "@llamaindex/discord": "^0.1.21",
+    "@llamaindex/elastic-search": "^0.1.22",
    "@llamaindex/env": "^0.1.30",
-    "@llamaindex/firestore": "^1.0.28",
-    "@llamaindex/fireworks": "^0.0.35",
-    "@llamaindex/google": "^0.3.21",
-    "@llamaindex/groq": "^0.0.91",
-    "@llamaindex/huggingface": "^0.1.29",
-    "@llamaindex/jinaai": "^0.0.35",
-    "@llamaindex/milvus": "^0.1.30",
-    "@llamaindex/mistral": "^0.1.21",
-    "@llamaindex/mixedbread": "^0.0.35",
-    "@llamaindex/mongodb": "^0.0.36",
-    "@llamaindex/node-parser": "^2.0.21",
-    "@llamaindex/notion": "^0.1.20",
-    "@llamaindex/ollama": "^0.1.22",
-    "@llamaindex/openai": "^0.4.19",
-    "@llamaindex/perplexity": "^0.0.32",
-    "@llamaindex/pinecone": "^0.1.21",
-    "@llamaindex/portkey-ai": "^0.0.63",
-    "@llamaindex/postgres": "^0.0.64",
-    "@llamaindex/qdrant": "^0.1.31",
-    "@llamaindex/readers": "^3.1.20",
-    "@llamaindex/replicate": "^0.0.63",
-    "@llamaindex/supabase": "^0.1.22",
-    "@llamaindex/together": "^0.0.35",
-    "@llamaindex/tools": "^0.1.11",
-    "@llamaindex/upstash": "^0.0.35",
-    "@llamaindex/vercel": "^0.1.21",
-    "@llamaindex/vllm": "^0.0.61",
-    "@llamaindex/voyage-ai": "^1.0.27",
-    "@llamaindex/weaviate": "^0.0.36",
-    "@llamaindex/workflow": "^1.1.23",
-    "@llamaindex/xai": "^0.0.22",
+    "@llamaindex/firestore": "^1.0.29",
+    "@llamaindex/fireworks": "^0.0.36",
+    "@llamaindex/google": "^0.3.22",
+    "@llamaindex/groq": "^0.0.92",
+    "@llamaindex/huggingface": "^0.1.30",
+    "@llamaindex/jinaai": "^0.0.36",
+    "@llamaindex/milvus": "^0.1.31",
+    "@llamaindex/mistral": "^0.1.22",
+    "@llamaindex/mixedbread": "^0.0.36",
+    "@llamaindex/mongodb": "^0.0.37",
+    "@llamaindex/node-parser": "^2.0.22",
+    "@llamaindex/notion": "^0.1.21",
+    "@llamaindex/ollama": "^0.1.23",
+    "@llamaindex/openai": "^0.4.20",
+    "@llamaindex/perplexity": "^0.0.33",
+    "@llamaindex/pinecone": "^0.1.22",
+    "@llamaindex/portkey-ai": "^0.0.64",
+    "@llamaindex/postgres": "^0.0.65",
+    "@llamaindex/qdrant": "^0.1.32",
+    "@llamaindex/readers": "^3.1.21",
+    "@llamaindex/replicate": "^0.0.64",
+    "@llamaindex/supabase": "^0.1.23",
+    "@llamaindex/together": "^0.0.36",
+    "@llamaindex/tools": "^0.1.12",
+    "@llamaindex/upstash": "^0.0.36",
+    "@llamaindex/vercel": "^0.1.22",
+    "@llamaindex/vllm": "^0.0.62",
+    "@llamaindex/voyage-ai": "^1.0.28",
+    "@llamaindex/weaviate": "^0.0.37",
+    "@llamaindex/workflow": "^1.1.24",
+    "@llamaindex/xai": "^0.0.23",
    "@notionhq/client": "^4.0.0",
    "@pinecone-database/pinecone": "^4.0.0",
    "@vercel/postgres": "^0.10.0",
@@ -65,7 +65,7 @@
    "commander": "^12.1.0",
    "dotenv": "^17.2.0",
    "js-tiktoken": "^1.0.14",
-    "llamaindex": "^0.11.29",
+    "llamaindex": "^0.12.0",
    "mongodb": "6.7.0",
    "postgres": "^3.4.4",
    "wikipedia": "^2.1.2",
@@ -9,10 +9,7 @@
    "start:html": "node --import tsx ./src/html.ts",
    "start:markdown": "node --import tsx ./src/markdown.ts",
    "start:pdf": "node --import tsx ./src/pdf.ts",
-    "start:llamaparse": "node --import tsx ./src/llamaparse.ts",
    "start:notion": "node --import tsx ./src/notion.ts",
-    "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:obsidian": "node --import tsx ./src/obsidian.ts",
@@ -20,7 +17,6 @@
    "start:excel": "node --import tsx ./src/excel.ts"
  },
  "dependencies": {
-    "@llamaindex/cloud": "workspace:* || ^2.0.24",
    "@llamaindex/excel": "workspace:*",
    "@llamaindex/readers": "workspace:* || ^1.0.25",
    "@notionhq/client": "^4.0.0",
@@ -1,52 +0,0 @@
-import { Language, LlamaParseReader } from "@llamaindex/cloud";
-import fs from "node:fs";
-import path from "node:path";
-
-type LlamaParseReaderParams = Partial<
-  Omit<LlamaParseReader, "language" | "apiKey">
-> & {
-  language?: Language | Language[] | undefined;
-  apiKey?: string | undefined;
-};
-
-async function main() {
-  const filePath = "../data/pto_policy_employee.docx";
-  if (!fs.existsSync(filePath)) {
-    console.error(`File ${filePath} does not exist`);
-    process.exit(1);
-  } else {
-    console.log(`File ${filePath} exists`);
-  }
-
-  const params: LlamaParseReaderParams = {
-    verbose: true,
-    parsingInstruction:
-      "Extract the text from the document a long with any images and tables.  This is a document for a course and the contents of the images are important.",
-    fastMode: false,
-    gpt4oMode: true,
-    useVendorMultimodalModel: true,
-    vendorMultimodalModelName: "anthropic-sonnet-3.5",
-    premiumMode: true,
-    resultType: "markdown",
-    apiKey: process.env.LLAMA_CLOUD_API_KEY,
-    doNotCache: true,
-  };
-
-  // set up the llamaparse reader
-  const reader = new LlamaParseReader(params);
-
-  const buffer = fs.readFileSync(filePath);
-  const documents = await reader.loadDataAsContent(
-    new Uint8Array(buffer),
-    path.basename(filePath),
-  );
-
-  let allText = "";
-  documents.forEach((doc) => {
-    allText += doc.text;
-  });
-
-  console.log(allText);
-}
-
-main().catch(console.error);
@@ -1,72 +0,0 @@
-import { LlamaParseReader } from "@llamaindex/cloud";
-import { OpenAI } from "@llamaindex/openai";
-import {
-  Document,
-  ImageNode,
-  PromptTemplate,
-  VectorStoreIndex,
-  createMessageContent,
-} from "llamaindex";
-
-const reader = new LlamaParseReader();
-async function main() {
-  // Load PDF using LlamaParse JSON mode and return an array of json objects
-  const jsonObjs = await reader.loadJson("../data/uber_10q_march_2022.pdf");
-  // Access the first "pages" (=a single parsed file) object in the array
-  const jsonList = jsonObjs[0]["pages"];
-
-  const textDocs = getTextDocs(jsonList);
-  const imageTextDocs = await getImageTextDocs(jsonObjs);
-  const documents = [...textDocs, ...imageTextDocs];
-  // Split text, create embeddings and query the index
-  const index = await VectorStoreIndex.fromDocuments(documents);
-  const queryEngine = index.asQueryEngine();
-  const response = await queryEngine.query({
-    query:
-      "What does the bar graph titled 'Monthly Active Platform Consumers' show?",
-  });
-
-  console.log(response.toString());
-}
-
-main().catch(console.error);
-
-// Extract and assign text and page number from jsonList, return an array of Document objects
-function getTextDocs(jsonList: { text: string; page: number }[]): Document[] {
-  return jsonList.map(
-    (page) => new Document({ text: page.text, metadata: { page: page.page } }),
-  );
-}
-// Download all images from jsonObjs, send them to OpenAI API to get alt text, return an array of Document objects
-async function getImageTextDocs(
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  jsonObjs: Record<string, any>[],
-): Promise<Document[]> {
-  const llm = new OpenAI({
-    model: "gpt-4o",
-    temperature: 0.2,
-    maxTokens: 1000,
-  });
-  const imageDicts = await reader.getImages(jsonObjs, "images");
-  const imageDocs = [];
-
-  for (const imageDict of imageDicts) {
-    const imageDoc = new ImageNode({ image: imageDict.path });
-    const prompt = new PromptTemplate({
-      template: `Describe the image as alt text`,
-    });
-    const message = await createMessageContent(prompt, [imageDoc]);
-
-    const response = await llm.complete({
-      prompt: message,
-    });
-
-    const doc = new Document({
-      text: response.text,
-      metadata: { path: imageDict.path },
-    });
-    imageDocs.push(doc);
-  }
-
-  return imageDocs;
-}
@@ -1,33 +0,0 @@
-import { LlamaParseReader } from "@llamaindex/cloud/reader";
-import { openai, OpenAIEmbedding } from "@llamaindex/openai";
-import { Settings, VectorStoreIndex } from "llamaindex";
-
-Settings.llm = openai({
-  model: "gpt-4.1",
-});
-Settings.embedModel = new OpenAIEmbedding({
-  model: "text-embedding-3-small",
-});
-
-async function main() {
-  // Load PDF using LlamaParse
-  const reader = new LlamaParseReader({
-    resultType: "markdown",
-    baseUrl: "https://api.cloud.llamaindex.ai", // for EU use: https://api.cloud.eu.llamaindex.ai
-  });
-  const documents = await reader.loadData("../data/TOS.pdf");
-
-  // Split text and create embeddings. Store them in a VectorStoreIndex
-  const index = await VectorStoreIndex.fromDocuments(documents);
-
-  // Query the index
-  const queryEngine = index.asQueryEngine();
-  const response = await queryEngine.query({
-    query: "What is the license grant in the TOS?",
-  });
-
-  // Output response
-  console.log(response.toString());
-}
-
-main().catch(console.error);
@@ -1,33 +0,0 @@
-import { LlamaParseReader } from "@llamaindex/cloud/reader";
-import { SimpleDirectoryReader } from "@llamaindex/readers/directory";
-import { VectorStoreIndex } from "llamaindex";
-
-async function main() {
-  const reader = new SimpleDirectoryReader();
-
-  const docs = await reader.loadData({
-    directoryPath: "../data/parallel", // brk-2022.pdf split into 6 parts
-    numWorkers: 2,
-    // set LlamaParse as the default reader for all file types. Set apiKey here or in environment variable LLAMA_CLOUD_API_KEY
-    overrideReader: new LlamaParseReader({
-      language: "en",
-      resultType: "markdown",
-      parsingInstruction:
-        "The provided files is Berkshire Hathaway's 2022 Annual Report. They contain figures, tables and raw data. Capture the data in a structured format. Mathematical equation should be put out as LATEX markdown (between $$).",
-    }),
-  });
-
-  const index = await VectorStoreIndex.fromDocuments(docs);
-
-  // Query the index
-  const queryEngine = index.asQueryEngine();
-  const response = await queryEngine.query({
-    query:
-      "What is the general strategy for shareholder safety outlined in the report? Use a concrete example with numbers",
-  });
-
-  // Output response
-  console.log(response.toString());
-}
-
-main().catch(console.error);
@@ -1,5 +1,12 @@
 # @llamaindex/autotool

+## 9.0.0
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+
 ## 8.0.29

 ### Patch Changes
@@ -1,5 +1,13 @@
 # @llamaindex/autotool-01-node-example

+## 0.0.138
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+  - @llamaindex/autotool@9.0.0
+
 ## 0.0.137

 ### Patch Changes
@@ -13,5 +13,5 @@
  "scripts": {
    "start": "node --import tsx --import @llamaindex/autotool/node ./src/index.ts"
  },
-  "version": "0.0.137"
+  "version": "0.0.138"
 }
@@ -6,7 +6,7 @@
    "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
    "directory": "packages/autotool"
  },
-  "version": "8.0.29",
+  "version": "9.0.0",
  "description": "auto transpile your JS function to LLM Agent compatible",
  "files": [
    "dist",
@@ -1,723 +0,0 @@
-# @llamaindex/cloud
-
-## 4.1.3
-
-### Patch Changes
-
- Updated dependencies [5da1cda]
-  - @llamaindex/core@0.6.21
-
-## 4.1.2
-
-### Patch Changes
-
- Updated dependencies [0267bb0]
-  - @llamaindex/core@0.6.20
-
-## 4.1.1
-
-### Patch Changes
-
- 4b51791: Add deprecation to README
-
-## 4.1.0
-
-### Minor Changes
-
- 049471b: Add deprecation warning
-
-## 4.0.28
-
-### Patch Changes
-
- c3bf3c7: Adding support for citations to beta agent data schema
- Updated dependencies [f9f1de9]
-  - @llamaindex/core@0.6.19
-
-## 4.0.27
-
-### Patch Changes
-
- Updated dependencies [f29799e]
- Updated dependencies [7224c06]
-  - @llamaindex/core@0.6.18
-
-## 4.0.26
-
-### Patch Changes
-
- Updated dependencies [38da40b]
-  - @llamaindex/core@0.6.17
-
-## 4.0.25
-
-### Patch Changes
-
- 2967d57: Default to \_public agent url id
- Updated dependencies [a8ec08c]
-  - @llamaindex/core@0.6.16
-
-## 4.0.24
-
-### Patch Changes
-
- Updated dependencies [7ad3411]
- Updated dependencies [5da5b3c]
-  - @llamaindex/core@0.6.15
-
-## 4.0.23
-
-### Patch Changes
-
- a1b1598: fix: add generic types into agent data responses
-
-## 4.0.22
-
-### Patch Changes
-
- d2be868: Bug fixes for new beta agent-data cloud API
-
-## 4.0.21
-
-### Patch Changes
-
- 579ca0c: chore: bump sdk version
-
-## 4.0.20
-
-### Patch Changes
-
- 48b0d88: fix: exports in `api` submodule
- f185772: fix(cloud): missing file
-
-## 4.0.19
-
-### Patch Changes
-
- 5a0ed1f: feat: init agent api on cloud sdk
- 5a0ed1f: feat: init agent api on cloud sdk
- Updated dependencies [8eeac33]
-  - @llamaindex/core@0.6.14
-
-## 4.0.18
-
-### Patch Changes
-
- 47a7555: chore: bump sdk version
-
-## 4.0.17
-
-### Patch Changes
-
- Updated dependencies [d578889]
- Updated dependencies [0fcc92f]
- Updated dependencies [515a8b9]
-  - @llamaindex/core@0.6.13
-
-## 4.0.16
-
-### Patch Changes
-
- Updated dependencies [7039e1a]
- Updated dependencies [7039e1a]
-  - @llamaindex/core@0.6.12
-
-## 4.0.15
-
-### Patch Changes
-
- Updated dependencies [a89e187]
- Updated dependencies [62699b7]
- Updated dependencies [c5b2691]
- Updated dependencies [d8ac8d3]
-  - @llamaindex/core@0.6.11
-
-## 4.0.14
-
-### Patch Changes
-
- Updated dependencies [1b5af14]
-  - @llamaindex/core@0.6.10
-
-## 4.0.13
-
-### Patch Changes
-
- Updated dependencies [71598f8]
-  - @llamaindex/core@0.6.9
-
-## 4.0.12
-
-### Patch Changes
-
- Updated dependencies [c927457]
-  - @llamaindex/core@0.6.8
-
-## 4.0.11
-
-### Patch Changes
-
- 76ff23d: Fix pRetry not working with CommonJS
-
-## 4.0.10
-
-### Patch Changes
-
- Updated dependencies [59601dd]
-  - @llamaindex/core@0.6.7
-
-## 4.0.9
-
-### Patch Changes
-
- 3703f90: feat(parse): add upload API
-
-## 4.0.8
-
-### Patch Changes
-
- Updated dependencies [680b529]
- Updated dependencies [361a685]
-  - @llamaindex/core@0.6.6
-
-## 4.0.7
-
-### Patch Changes
-
- 40f5f41: Improve the loadJson function in LlamaParseReader to align with loadData by allowing URL inputs. Ensures s3://, http://, and https:// paths are not treated as local file paths.
- Updated dependencies [d671ed6]
-  - @llamaindex/core@0.6.5
-
-## 4.0.6
-
-### Patch Changes
-
- Updated dependencies [9b2e25a]
-  - @llamaindex/core@0.6.4
-  - @llamaindex/env@0.1.30
-
-## 4.0.5
-
-### Patch Changes
-
- 2225ffd: feat: bump llama cloud sdk
-
-## 4.0.4
-
-### Patch Changes
-
- Updated dependencies [3ee8c83]
-  - @llamaindex/core@0.6.3
-
-## 4.0.3
-
-### Patch Changes
-
- 41191d0: fix(parse): file input
-
-## 4.0.2
-
-### Patch Changes
-
- Updated dependencies [9c63f3f]
-  - @llamaindex/core@0.6.2
-
-## 4.0.1
-
-### Patch Changes
-
- Updated dependencies [1b6f368]
- Updated dependencies [eaf326e]
-  - @llamaindex/core@0.6.1
-
-## 4.0.0
-
-### Patch Changes
-
- bf56fc0: chore: bump sdk openapi.json
- 5189b44: fix: add retry handling logic to parser reader and fix lint issues
- Updated dependencies [21bebfc]
- Updated dependencies [93bc0ff]
- Updated dependencies [91a18e7]
- Updated dependencies [5189b44]
-  - @llamaindex/core@0.6.0
-
-## 3.0.9
-
-### Patch Changes
-
- Updated dependencies [40ee761]
-  - @llamaindex/core@0.5.8
-
-## 3.0.8
-
-### Patch Changes
-
- Updated dependencies [4bac71d]
-  - @llamaindex/core@0.5.7
-
-## 3.0.7
-
-### Patch Changes
-
- Updated dependencies [beb922b]
-  - @llamaindex/env@0.1.29
-  - @llamaindex/core@0.5.6
-
-## 3.0.6
-
-### Patch Changes
-
- Updated dependencies [5668970]
-  - @llamaindex/core@0.5.5
-
-## 3.0.5
-
-### Patch Changes
-
- Updated dependencies [ad3c7f1]
-  - @llamaindex/core@0.5.4
-
-## 3.0.4
-
-### Patch Changes
-
- Updated dependencies [cb021e7]
-  - @llamaindex/core@0.5.3
-
-## 3.0.3
-
-### Patch Changes
-
- Updated dependencies [d952e68]
-  - @llamaindex/core@0.5.2
-
-## 3.0.2
-
-### Patch Changes
-
- c902fcb: chore: bump llamacloud openapi
-
-## 3.0.1
-
-### Patch Changes
-
- Updated dependencies [cc50c9c]
-  - @llamaindex/env@0.1.28
-  - @llamaindex/core@0.5.1
-
-## 3.0.0
-
-### Patch Changes
-
- Updated dependencies [6a4a737]
- Updated dependencies [d924c63]
-  - @llamaindex/core@0.5.0
-
-## 2.0.24
-
-### Patch Changes
-
- 1c908fd: Revert previous release (not working with CJS)
- Updated dependencies [1c908fd]
-  - @llamaindex/core@0.4.23
-  - @llamaindex/env@0.1.27
-
-## 2.0.23
-
-### Patch Changes
-
- cb608b5: fix: bundle output incorrect
- Updated dependencies [cb608b5]
-  - @llamaindex/core@0.4.22
-  - @llamaindex/env@0.1.26
-
-## 2.0.22
-
-### Patch Changes
-
- d6c270e: feat: support pass project and org id to llama parse reader
- Updated dependencies [9456616]
- Updated dependencies [1931bbc]
-  - @llamaindex/core@0.4.21
-
-## 2.0.21
-
-### Patch Changes
-
- 5dec9f9: chore: bump sdk deps version
- fd9c829: chore: bump llamacloud openapi
- Updated dependencies [d211b7a]
-  - @llamaindex/core@0.4.20
-
-## 2.0.20
-
-### Patch Changes
-
- 012495b: chore: bump llamacloud sdk
-
-## 2.0.19
-
-### Patch Changes
-
- Updated dependencies [a9b5b99]
-  - @llamaindex/core@0.4.19
-
-## 2.0.18
-
-### Patch Changes
-
- Updated dependencies [b504303]
- Updated dependencies [e0f6cc3]
-  - @llamaindex/env@0.1.25
-  - @llamaindex/core@0.4.18
-
-## 2.0.17
-
-### Patch Changes
-
- Updated dependencies [3d1808b]
-  - @llamaindex/core@0.4.17
-
-## 2.0.16
-
-### Patch Changes
-
- 8be4589: chore: bump version
- Updated dependencies [8be4589]
-  - @llamaindex/core@0.4.16
-  - @llamaindex/env@0.1.24
-
-## 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
-
- Updated dependencies [ad85bd0]
-  - @llamaindex/core@0.4.5
-  - @llamaindex/env@0.1.19
-
-## 2.0.4
-
-### Patch Changes
-
- Updated dependencies [a8d3fa6]
-  - @llamaindex/env@0.1.18
-  - @llamaindex/core@0.4.4
-
-## 2.0.3
-
-### Patch Changes
-
- Updated dependencies [95a5cc6]
-  - @llamaindex/core@0.4.3
-
-## 2.0.2
-
-### Patch Changes
-
- Updated dependencies [14cc9eb]
-  - @llamaindex/env@0.1.17
-  - @llamaindex/core@0.4.2
-
-## 2.0.1
-
-### Patch Changes
-
- Updated dependencies [9c73f0a]
-  - @llamaindex/core@0.4.1
-
-## 2.0.0
-
-### Patch Changes
-
- Updated dependencies [359fd33]
- Updated dependencies [efb7e1b]
- Updated dependencies [98ba1e7]
- Updated dependencies [620c63c]
-  - @llamaindex/core@0.4.0
-
-## 1.0.8
-
-### Patch Changes
-
- Updated dependencies [60b185f]
-  - @llamaindex/core@0.3.7
-
-## 1.0.7
-
-### Patch Changes
-
- Updated dependencies [691c5bc]
-  - @llamaindex/core@0.3.6
-
-## 1.0.6
-
-### Patch Changes
-
- Updated dependencies [fa60fc6]
-  - @llamaindex/env@0.1.16
-  - @llamaindex/core@0.3.5
-
-## 1.0.5
-
-### Patch Changes
-
- Updated dependencies [e2a0876]
-  - @llamaindex/core@0.3.4
-
-## 1.0.4
-
-### Patch Changes
-
- 06f632b: fix(cloud): allow filename in llama parse
-
-## 1.0.3
-
-### Patch Changes
-
- Updated dependencies [0493f67]
-  - @llamaindex/core@0.3.3
-
-## 1.0.2
-
-### Patch Changes
-
- Updated dependencies [4ba2cfe]
-  - @llamaindex/env@0.1.15
-  - @llamaindex/core@0.3.2
-
-## 1.0.1
-
-### Patch Changes
-
- 4c38c1b: fix(cloud): do not detect file type in llama parse
- 24d065f: Log Parse Job Errors when verbose is enabled
- a75af83: refactor: move some llm and embedding to single package
- Updated dependencies [ae49ff4]
- Updated dependencies [a75af83]
-  - @llamaindex/env@0.1.14
-  - @llamaindex/core@0.3.1
-
-## 1.0.0
-
-### Patch Changes
-
- Updated dependencies [1364e8e]
- Updated dependencies [96fc69c]
-  - @llamaindex/core@0.3.0
-
-## 0.2.14
-
-### Patch Changes
-
- Updated dependencies [5f67820]
-  - @llamaindex/core@0.2.12
-
-## 0.2.13
-
-### Patch Changes
-
- Updated dependencies [ee697fb]
-  - @llamaindex/core@0.2.11
-
-## 0.2.12
-
-### Patch Changes
-
- Updated dependencies [3489e7d]
- Updated dependencies [468bda5]
-  - @llamaindex/core@0.2.10
-
-## 0.2.11
-
-### Patch Changes
-
- 0b20ff9: fix: package.json format
-
-## 0.2.10
-
-### Patch Changes
-
- 981811e: fix(cloud): llama parse reader save image incorrectly
-
-## 0.2.9
-
-### Patch Changes
-
- df441e2: fix: consoleLogger is missing from `@llamaindex/env`
- Updated dependencies [df441e2]
-  - @llamaindex/core@0.2.8
-  - @llamaindex/env@0.1.13
-
-## 0.2.8
-
-### Patch Changes
-
- ac41ed3: feat: bump cloud sdk version
-
-## 0.2.7
-
-### Patch Changes
-
- fb36eff: fix: backport for node.js 18
-
-  There could have one missing API in the node.js 18, so we need to backport it to make it work.
-
- d24d3d1: fix: print warning when llama parse reader has error
- Updated dependencies [2cd1383]
-  - @llamaindex/core@0.2.3
-
-## 0.2.6
-
-### Patch Changes
-
- b42adeb: fix: get job result in llama parse reader
- Updated dependencies [749b43a]
-  - @llamaindex/core@0.2.2
-
-## 0.2.5
-
-### Patch Changes
-
- 85c2e19: feat: `@llamaindex/cloud` package update
-
-  - Bump to latest openapi schema
-  - Move LlamaParse class from llamaindex, this will allow you use llamaparse in more non-node.js environment
-
- Updated dependencies [ac07e3c]
- Updated dependencies [70ccb4a]
- Updated dependencies [1a6137b]
- Updated dependencies [ac07e3c]
-  - @llamaindex/core@0.2.1
-  - @llamaindex/env@0.1.11
-
-## 0.2.4
-
-### Patch Changes
-
- 4810364: fix: bump version
-
-## 0.2.3
-
-### Patch Changes
-
- 0bf8d80: fix: bump version
-
-## 0.2.2
-
-### Patch Changes
-
- 58abc57: fix: align version
-
-## 0.2.1
-
-### Patch Changes
-
- 1f680d7: chore: bump llamacloud api
-
-## 0.2.0
-
-### Minor Changes
-
- 3ed6acc: feat: cloud api change
-
-## 0.1.4
-
-### Patch Changes
-
- 36ddec4: fix: typo in custom page separator parameter for LlamaParse
-
-## 0.1.3
-
-### Patch Changes
-
- 1c444d5: feat(cloud): update openapi.json
-
-## 0.1.2
-
-### Patch Changes
-
- f326ab8: chore: bump version
-
-## 0.1.1
-
-### Patch Changes
-
- 321c39d: fix: generate api as class
@@ -1,10 +0,0 @@
-# @llamaindex/cloud
-
-> [!WARNING]  
-> This package has been deprecated since version 4.1.0.
-> Please migrate to [llama-cloud-services](https://www.npmjs.com/package/llama-cloud-services).
-> See the documentation: https://docs.cloud.llamaindex.ai
-
-## License
-
-MIT
@@ -1,8 +0,0 @@
-{
-  "type": "module",
-  "main": "./dist/index.cjs",
-  "module": "./dist/index.js",
-  "types": "./dist/index.d.ts",
-  "exports": "./dist/index.js",
-  "private": true
-}
@@ -1,8 +0,0 @@
-{
-  "type": "module",
-  "main": "./dist/index.cjs",
-  "module": "./dist/index.js",
-  "types": "./dist/index.d.ts",
-  "exports": "./dist/index.js",
-  "private": true
-}
@@ -1,24 +0,0 @@
-import { defaultPlugins, defineConfig } from "@hey-api/openapi-ts";
-
-export default defineConfig({
-  // you can download this file to get the latest version of the OpenAPI document
-  // @link https://api.cloud.llamaindex.ai/api/openapi.json
-  input: "./openapi.json",
-  output: {
-    path: "./src/client",
-    format: "prettier",
-    lint: "eslint",
-  },
-  plugins: [
-    ...defaultPlugins,
-    "@hey-api/client-fetch",
-    "zod",
-    "@hey-api/schemas",
-    "@hey-api/sdk",
-    {
-      enums: "javascript",
-      identifierCase: "PascalCase",
-      name: "@hey-api/typescript",
-    },
-  ],
-});
@@ -1,97 +0,0 @@
-{
-  "name": "@llamaindex/cloud",
-  "version": "4.1.3",
-  "type": "module",
-  "license": "MIT",
-  "scripts": {
-    "generate": "./node_modules/.bin/openapi-ts",
-    "build": "pnpm run generate && bunchee",
-    "dev": "bunchee --watch"
-  },
-  "files": [
-    "openapi.json",
-    "./api",
-    "./reader",
-    "./parse",
-    "./beta/agent"
-  ],
-  "exports": {
-    "./openapi.json": "./openapi.json",
-    "./beta/agent": {
-      "require": {
-        "types": "./beta/agent/dist/index.d.cts",
-        "default": "./beta/agent/dist/index.cjs"
-      },
-      "import": {
-        "types": "./beta/agent/dist/index.d.ts",
-        "default": "./beta/agent/dist/index.js"
-      },
-      "default": "./beta/agent/dist/index.js"
-    },
-    "./api": {
-      "require": {
-        "types": "./api/dist/index.d.cts",
-        "default": "./api/dist/index.cjs"
-      },
-      "import": {
-        "types": "./api/dist/index.d.ts",
-        "default": "./api/dist/index.js"
-      },
-      "default": "./api/dist/index.js"
-    },
-    "./reader": {
-      "require": {
-        "types": "./reader/dist/index.d.cts",
-        "default": "./reader/dist/index.cjs"
-      },
-      "import": {
-        "types": "./reader/dist/index.d.ts",
-        "default": "./reader/dist/index.js"
-      },
-      "default": "./reader/dist/index.js"
-    },
-    "./parse": {
-      "require": {
-        "types": "./parse/dist/index.d.cts",
-        "default": "./parse/dist/index.cjs"
-      },
-      "import": {
-        "types": "./parse/dist/index.d.ts",
-        "default": "./parse/dist/index.js"
-      },
-      "default": "./parse/dist/index.js"
-    },
-    ".": {
-      "require": {
-        "types": "./reader/dist/index.d.cts",
-        "default": "./reader/dist/index.cjs"
-      },
-      "import": {
-        "types": "./reader/dist/index.d.ts",
-        "default": "./reader/dist/index.js"
-      },
-      "default": "./reader/dist/index.js"
-    }
-  },
-  "repository": {
-    "type": "git",
-    "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
-    "directory": "packages/cloud"
-  },
-  "devDependencies": {
-    "@hey-api/client-fetch": "^0.10.1",
-    "@hey-api/openapi-ts": "^0.67.5",
-    "@llama-flow/core": "^0.4.1",
-    "@llamaindex/core": "workspace:*",
-    "@llamaindex/env": "workspace:*"
-  },
-  "peerDependencies": {
-    "@llama-flow/core": "^0.4.1",
-    "@llamaindex/core": "workspace:*",
-    "@llamaindex/env": "workspace:*"
-  },
-  "dependencies": {
-    "p-retry": "^6.2.1",
-    "zod": "^3.25.76"
-  }
-}
@@ -1,8 +0,0 @@
-{
-  "type": "module",
-  "main": "./dist/index.cjs",
-  "module": "./dist/index.js",
-  "types": "./dist/index.d.ts",
-  "exports": "./dist/index.js",
-  "private": true
-}
@@ -1,8 +0,0 @@
-{
-  "type": "module",
-  "main": "./dist/index.cjs",
-  "module": "./dist/index.js",
-  "types": "./dist/index.d.ts",
-  "exports": "./dist/index.js",
-  "private": true
-}
@@ -1,18 +0,0 @@
-// Deprecation warning
-console.warn(`
-The package @llamaindex/cloud has been deprecated since version 4.1.0
- * Please migrate to llama-cloud-services.
- * See the documentation: https://docs.cloud.llamaindex.ai
-`);
-
-import { client } from "./client/client.gen";
-
-client.setConfig({
-  baseUrl: "https://api.cloud.llamaindex.ai/",
-  headers: {
-    "X-SDK-Name": "llamaindex-ts",
-  },
-});
-
-export * from "./client";
-export { client };
@@ -1,329 +0,0 @@
-import { createClient, createConfig } from "@hey-api/client-fetch";
-import { getEnv } from "@llamaindex/env";
-import {
-  aggregateAgentDataApiV1BetaAgentDataAggregatePost,
-  createAgentDataApiV1BetaAgentDataPost,
-  deleteAgentDataApiV1BetaAgentDataItemIdDelete,
-  getAgentDataApiV1BetaAgentDataItemIdGet,
-  searchAgentDataApiV1BetaAgentDataSearchPost,
-  updateAgentDataApiV1BetaAgentDataItemIdPut,
-  type AgentData,
-  type AggregateGroup,
-} from "../../client";
-import type {
-  AggregateAgentDataOptions,
-  SearchAgentDataOptions,
-  TypedAgentData,
-  TypedAgentDataItems,
-  TypedAggregateGroup,
-  TypedAggregateGroupItems,
-} from "./types";
-
-/**
- * Async client for agent data operations
- */
-export class AgentClient<T = unknown> {
-  private client: ReturnType<typeof createClient>;
-  private baseUrl: string;
-  private headers: Record<string, string>;
-  private collection: string;
-  private agentUrlId: string;
-
-  constructor({
-    apiKey = getEnv("LLAMA_CLOUD_API_KEY"),
-    baseUrl = "https://api.cloud.llamaindex.ai/",
-    collection = "default",
-    agentUrlId = "_public",
-  }: {
-    apiKey?: string;
-    baseUrl?: string;
-    collection?: string;
-    agentUrlId?: string;
-  }) {
-    this.baseUrl = baseUrl;
-
-    this.headers = {
-      "X-SDK-Name": "llamaindex-ts",
-      ...(apiKey && { Authorization: `Bearer ${apiKey}` }),
-    };
-
-    this.client = createClient(
-      createConfig({
-        baseUrl: this.baseUrl,
-        headers: this.headers,
-      }),
-    );
-
-    this.collection = collection;
-    this.agentUrlId = agentUrlId;
-  }
-
-  /**
-   * Create new agent data
-   */
-  async createItem(data: T): Promise<TypedAgentData<T>> {
-    const response = await createAgentDataApiV1BetaAgentDataPost({
-      throwOnError: true,
-      body: {
-        agent_slug: this.agentUrlId,
-        collection: this.collection,
-        data: data as Record<string, unknown>,
-      },
-      client: this.client,
-    });
-
-    return this.transformResponse(response.data);
-  }
-
-  /**
-   * Get agent data by ID
-   */
-  async getItem(id: string): Promise<TypedAgentData<T> | null> {
-    try {
-      const response = await getAgentDataApiV1BetaAgentDataItemIdGet({
-        throwOnError: true,
-        path: { item_id: id },
-        client: this.client,
-      });
-
-      return this.transformResponse(response.data);
-    } catch (error) {
-      if (
-        error instanceof Error &&
-        "response" in error &&
-        (error as { response?: { status?: number } }).response?.status === 404
-      ) {
-        return null;
-      }
-      throw error;
-    }
-  }
-
-  /**
-   * Update agent data
-   */
-  async updateItem(id: string, data: T): Promise<TypedAgentData<T>> {
-    const response = await updateAgentDataApiV1BetaAgentDataItemIdPut({
-      throwOnError: true,
-      path: { item_id: id },
-      body: {
-        data: data as Record<string, unknown>,
-      },
-      client: this.client,
-    });
-
-    return this.transformResponse(response.data);
-  }
-
-  /**
-   * Delete agent data
-   */
-  async deleteItem(id: string): Promise<void> {
-    await deleteAgentDataApiV1BetaAgentDataItemIdDelete({
-      throwOnError: true,
-      path: { item_id: id },
-      client: this.client,
-    });
-  }
-
-  /**
-   * Search agent data
-   */
-  async search(
-    options: SearchAgentDataOptions,
-  ): Promise<TypedAgentDataItems<T>> {
-    const response = await searchAgentDataApiV1BetaAgentDataSearchPost({
-      throwOnError: true,
-      body: {
-        agent_slug: this.agentUrlId,
-        ...(this.collection !== undefined && {
-          collection: this.collection,
-        }),
-        ...(options.filter !== undefined && { filter: options.filter }),
-        ...(options.orderBy !== undefined && { order_by: options.orderBy }),
-        ...(options.pageSize !== undefined && { page_size: options.pageSize }),
-        ...(options.offset !== undefined && { offset: options.offset }),
-        ...(options.includeTotal !== undefined && {
-          include_total: options.includeTotal,
-        }),
-      },
-      client: this.client,
-    });
-
-    const result: TypedAgentDataItems<T> = {
-      items: response.data.items.map((item: AgentData) =>
-        this.transformResponse(item),
-      ),
-    };
-
-    if (
-      response.data.total_size !== null &&
-      response.data.total_size !== undefined
-    ) {
-      result.totalSize = response.data.total_size;
-    }
-
-    if (
-      response.data.next_page_token !== null &&
-      response.data.next_page_token !== undefined
-    ) {
-      result.nextPageToken = response.data.next_page_token;
-    }
-
-    return result;
-  }
-
-  /**
-   * Aggregate agent data into groups
-   */
-  async aggregate(
-    options: AggregateAgentDataOptions,
-  ): Promise<TypedAggregateGroupItems<T>> {
-    const response = await aggregateAgentDataApiV1BetaAgentDataAggregatePost({
-      throwOnError: true,
-      body: {
-        agent_slug: this.agentUrlId,
-        ...(this.collection !== undefined && {
-          collection: this.collection,
-        }),
-        ...(options.filter !== undefined && { filter: options.filter }),
-        ...(options.groupBy !== undefined && { group_by: options.groupBy }),
-        ...(options.count !== undefined && { count: options.count }),
-        ...(options.first !== undefined && { first: options.first }),
-        ...(options.orderBy !== undefined && { order_by: options.orderBy }),
-        ...(options.offset !== undefined && { offset: options.offset }),
-        ...(options.pageSize !== undefined && { page_size: options.pageSize }),
-      },
-      client: this.client,
-    });
-
-    const result: TypedAggregateGroupItems<T> = {
-      items: response.data.items.map((item) =>
-        this.transformAggregateResponse(item),
-      ),
-    };
-
-    if (
-      response.data.total_size !== null &&
-      response.data.total_size !== undefined
-    ) {
-      result.totalSize = response.data.total_size;
-    }
-
-    if (
-      response.data.next_page_token !== null &&
-      response.data.next_page_token !== undefined
-    ) {
-      result.nextPageToken = response.data.next_page_token;
-    }
-
-    return result;
-  }
-
-  /**
-   * Transform API response to typed data
-   */
-  private transformResponse(data: AgentData): TypedAgentData<T> {
-    const result: TypedAgentData<T> = {
-      id: data.id!,
-      agentUrlId: data.agent_slug,
-      data: data.data as T,
-      createdAt: new Date(data.created_at!),
-      updatedAt: new Date(data.updated_at!),
-    };
-
-    if (data.collection !== undefined) {
-      result.collection = data.collection;
-    }
-
-    return result;
-  }
-
-  /**
-   * Transform API aggregate response to typed data
-   */
-  private transformAggregateResponse(
-    data: AggregateGroup,
-  ): TypedAggregateGroup<T> {
-    const result: TypedAggregateGroup<T> = {
-      groupKey: data.group_key,
-    };
-
-    if (data.count !== null && data.count !== undefined) {
-      result.count = data.count;
-    }
-
-    if (data.first_item !== null && data.first_item !== undefined) {
-      result.firstItem = data.first_item as T;
-    }
-
-    return result;
-  }
-}
-
-export interface AgentDataClientOptions<T = unknown> {
-  /** API key for the client */
-  apiKey?: string;
-  /** Base URL for the client */
-  /** Base URL of the llama cloud api */
-  baseUrl?: string;
-  /** If running in an agent runtime, optionally provide the window url to infer the agent url id */
-  windowUrl?: string;
-  /** Agent URL ID for the client, if not provided, it will be inferred from the window url, or fall back to "default" */
-  agentUrlId?: string;
-  /** Collection name for the client, defaults to "default" */
-  collection?: string;
-}
-/**
- * Create a new AsyncAgentDataClient instance. Does it's best to infer an agent url id from environment.
- * Pass in the window url and/or env to infer the agent url id from them.
- * @param options - The options for the client
- * @returns A new AgentClient instance
- */
-export function createAgentDataClient<T = unknown>({
-  apiKey,
-  baseUrl,
-  windowUrl,
-  env,
-  agentUrlId,
-  collection = "default",
-}: {
-  apiKey?: string;
-  baseUrl?: string;
-  windowUrl?: string;
-  env?: Record<string, string>;
-  agentUrlId?: string;
-  collection?: string;
-} = {}): AgentClient<T> {
-  if (env && !agentUrlId) {
-    agentUrlId =
-      env.LLAMA_DEPLOY_DEPLOYMENT_NAME ||
-      env.NEXT_PUBLIC_LLAMA_DEPLOY_DEPLOYMENT_NAME ||
-      env.VITE_LLAMA_DEPLOY_DEPLOYMENT_NAME;
-  }
-  if (windowUrl && !agentUrlId) {
-    try {
-      const url = new URL(windowUrl);
-      const path = url.pathname;
-      const isLocalhost = // local agents should default to _public, otherwise a full deployment is required
-        url.hostname.includes("localhost") ||
-        url.hostname.includes("127.0.0.1");
-      if (path.startsWith("/deployments/") && !isLocalhost) {
-        // /deployments/<agent-url-id>/ui/ -> ["", "deployments", "<agent-url-id>", "ui"]
-        agentUrlId = path.split("/")[2];
-      }
-    } catch (error) {
-      console.warn(
-        "Failed to infer agent url id from window url, falling back to default",
-        error,
-      );
-    }
-  }
-
-  return new AgentClient({
-    ...(apiKey && { apiKey }),
-    ...(baseUrl && { baseUrl }),
-    ...(agentUrlId && { agentUrlId }),
-    collection,
-  });
-}
@@ -1,23 +0,0 @@
-// Deprecation warning
-console.warn(`
-The package @llamaindex/cloud has been deprecated since version 4.1.0
- * Please migrate to llama-cloud-services.
- * See the documentation: https://docs.cloud.llamaindex.ai
-`);
-
-export { AgentClient, createAgentDataClient } from "./client";
-
-export type {
-  AggregateAgentDataOptions,
-  ComparisonOperator,
-  ExtractedData,
-  FilterOperation,
-  SearchAgentDataOptions,
-  StatusType,
-  TypedAgentData,
-  TypedAgentDataItems,
-  TypedAggregateGroup,
-  TypedAggregateGroupItems,
-} from "./types";
-
-export { StatusType as StatusTypeEnum } from "./types";
@@ -1,163 +0,0 @@
-import type { FilterOperation as RawFilterOperation } from "../../client/types.gen";
-/**
- * Status types for agent data processing
- */
-export const StatusType = {
-  ERROR: "error",
-  ACCEPTED: "accepted",
-  REJECTED: "rejected",
-  PENDING_REVIEW: "pending_review",
-} as const;
-
-export type StatusType = (typeof StatusType)[keyof typeof StatusType];
-
-export const ComparisonOperator = {
-  GT: "gt",
-  GTE: "gte",
-  LT: "lt",
-  LTE: "lte",
-  EQ: "eq",
-  INCLUDES: "includes",
-} as const;
-
-export type ComparisonOperator =
-  (typeof ComparisonOperator)[keyof typeof ComparisonOperator];
-
-/**
- * Filter operation for searching/filtering agent data
- */
-export type FilterOperation = RawFilterOperation;
-
-/**
- * Metadata for an extracted field, including confidence and citation information
- */
-export interface ExtractedFieldMetadata {
-  /** The confidence score for the field, combined with parsing confidence if applicable */
-  confidence?: number;
-  /** The confidence score for the field based on the extracted text only */
-  extracted_confidence?: number;
-  /** The page number that the field occurred on */
-  page_number?: number;
-  /** The original text this field's value was derived from */
-  matching_text?: string;
-}
-
-/**
- * Dictionary mapping field names to their metadata
- * Values can be ExtractedFieldMetadata objects, nested dictionaries, or arrays
- */
-export type ExtractedFieldMetadataDict = Record<
-  string,
-  ExtractedFieldMetadata | Record<string, unknown> | unknown[]
->;
-
-/**
- * Base extracted data interface
- */
-export interface ExtractedData<T = unknown> {
-  /** The original data that was extracted from the document. For tracking changes. Should not be updated. */
-  original_data: T;
-  /** The latest state of the data. Will differ if data has been updated. */
-  data: T;
-  /** The status of the extracted data. Prefer to use the StatusType values, but any string is allowed. */
-  status: StatusType | string;
-  /** The overall confidence score for the extracted data. */
-  overall_confidence?: number;
-  /** Page links, and perhaps eventually bounding boxes, for individual fields in the extracted data. */
-  field_metadata?: ExtractedFieldMetadataDict;
-  /** The ID of the file that was used to extract the data. */
-  file_id?: string;
-  /** The name of the file that was used to extract the data. */
-  file_name?: string;
-  /** The hash of the file that was used to extract the data. */
-  file_hash?: string;
-  /** Additional metadata about the extracted data, such as errors, tokens, etc. */
-  metadata?: Record<string, unknown>;
-}
-
-/**
- * TypedAgentData interface for typed agent data
- */
-export interface TypedAgentData<T = unknown> {
-  /** The unique ID of the agent data record. */
-  id: string;
-  /** The ID of the agent that created the data. */
-  agentUrlId: string;
-  /** The collection of the agent data. */
-  collection?: string;
-  /** The data of the agent data. Usually an ExtractedData&lt;SomeOtherType&gt; */
-  data: T;
-  /** The date and time the data was created. */
-  createdAt: Date;
-  /** The date and time the data was last updated. */
-  updatedAt: Date;
-}
-
-/**
- * Paginated response of typed agent data items
- */
-export interface TypedAgentDataItems<T = unknown> {
-  items: TypedAgentData<T>[];
-  totalSize?: number;
-  nextPageToken?: string;
-}
-
-/**
- * Options for listing agent data
- */
-export interface SearchAgentDataOptions {
-  /** Filter options for the list. */
-  filter?: Record<string, FilterOperation>;
-  /** Order by options for the list. */
-  orderBy?: string;
-  /** Page size for the list. */
-  pageSize?: number;
-  /** Offset for the list. */
-  offset?: number;
-  /**
-   * Whether to include the total number of items in the response.
-   * Should use only for first request to build total pagination, and not subsequent requests.
-   */
-  includeTotal?: boolean;
-}
-
-/**
- * Options for aggregating agent data
- */
-export interface AggregateAgentDataOptions {
-  /** Filter options for the aggregation. */
-  filter?: Record<string, FilterOperation>;
-  /** Fields to group by. */
-  groupBy?: string[];
-  /** Whether to count the number of items in each group. */
-  count?: boolean;
-  /** Whether to return the first item in each group. */
-  first?: boolean;
-  /** Order by options for the aggregation. */
-  orderBy?: string;
-  /** Offset for the aggregation. */
-  offset?: number;
-  /** Page size for the aggregation. */
-  pageSize?: number;
-}
-
-/**
- * Single aggregation group result
- */
-export interface TypedAggregateGroup<T = unknown> {
-  /** The group key values */
-  groupKey: Record<string, unknown>;
-  /** Count of items in the group */
-  count?: number;
-  /** First item in the group */
-  firstItem?: T;
-}
-
-/**
- * Paginated response of aggregated agent data
- */
-export interface TypedAggregateGroupItems<T = unknown> {
-  items: TypedAggregateGroup<T>[];
-  totalSize?: number;
-  nextPageToken?: string;
-}
@@ -1,55 +0,0 @@
-import { workflowEvent } from "@llama-flow/core";
-import { zodEvent } from "@llama-flow/core/util/zod";
-import { z } from "zod";
-import { parseFormSchema } from "./schema";
-
-export const uploadEvent = zodEvent(
-  parseFormSchema.merge(
-    z.object({
-      file: z
-        .string()
-        .or(z.instanceof(File))
-        .or(z.instanceof(Blob))
-        .or(z.instanceof(Uint8Array))
-        .optional()
-        .describe("input"),
-    }),
-  ),
-  {
-    debugLabel: "upload",
-    uniqueId: "52099967-34a8-419b-8950-c859eab60145",
-  },
-);
-export const checkStatusEvent = workflowEvent<string>({
-  debugLabel: "check-status",
-  uniqueId: "462157fc-1ded-4ba7-9bc4-3e870395bd20",
-});
-export const checkStatusSuccessEvent = workflowEvent<string>({
-  debugLabel: "check-status-success",
-  uniqueId: "360b7641-30f7-456e-851d-104bb5e3f8d2",
-});
-export const requestMarkdownEvent = workflowEvent<string>({
-  debugLabel: "markdown-request",
-  uniqueId: "aa4c2e3c-0f09-4035-aab6-c72719c877cc",
-});
-export const requestTextEvent = workflowEvent<string>({
-  debugLabel: "text-request",
-  uniqueId: "6976536e-5399-4285-9455-0b70f1dfc92b",
-});
-export const requestJsonEvent = workflowEvent<string>({
-  debugLabel: "json-request",
-  uniqueId: "9fc4a330-52ad-4aac-8092-a650998b7f6f",
-});
-
-export const markdownResultEvent = workflowEvent<string>({
-  debugLabel: "markdown-result",
-  uniqueId: "2dfb57c8-73d1-4394-bea8-f05246d934d4",
-});
-export const textResultEvent = workflowEvent<string>({
-  debugLabel: "text-result",
-  uniqueId: "a27deec6-b24f-4eda-a5ac-ba2fb2bf37c8",
-});
-export const jsonResultEvent = workflowEvent<unknown>({
-  debugLabel: "json-result",
-  uniqueId: "e086e6bd-a612-4f25-ab41-9b31dcb8af86",
-});
@@ -1,232 +0,0 @@
-// Deprecation warning
-console.warn(`
-The package @llamaindex/cloud has been deprecated since version 4.1.0
- * Please migrate to llama-cloud-services.
- * See the documentation: https://docs.cloud.llamaindex.ai
-`);
-
-import { createClient, createConfig } from "@hey-api/client-fetch";
-import { createWorkflow, type InferWorkflowEventData } from "@llama-flow/core";
-import { createStatefulMiddleware } from "@llama-flow/core/middleware/state";
-import { withTraceEvents } from "@llama-flow/core/middleware/trace-events";
-import { pRetryHandler } from "@llama-flow/core/util/p-retry";
-import { fs, getEnv, path } from "@llamaindex/env";
-import {
-  type BodyUploadFileApiV1ParsingUploadPost,
-  getJobApiV1ParsingJobJobIdGet,
-  getJobJsonResultApiV1ParsingJobJobIdResultJsonGet,
-  getJobResultApiV1ParsingJobJobIdResultMarkdownGet,
-  getJobTextResultApiV1ParsingJobJobIdResultTextGet,
-  type StatusEnum,
-  uploadFileApiV1ParsingUploadPost,
-} from "./client";
-import {
-  checkStatusEvent,
-  checkStatusSuccessEvent,
-  jsonResultEvent,
-  markdownResultEvent,
-  requestJsonEvent,
-  requestMarkdownEvent,
-  requestTextEvent,
-  textResultEvent,
-  uploadEvent,
-} from "./events";
-
-export type LlamaParseWorkflowParams = {
-  region?: "us" | "eu" | "us-staging";
-  apiKey?: string;
-};
-
-const URLS = {
-  us: "https://api.cloud.llamaindex.ai",
-  eu: "https://api.cloud.eu.llamaindex.ai",
-  "us-staging": "https://api.staging.llamaindex.ai",
-} as const;
-
-const { withState, getContext } = createStatefulMiddleware(
-  (params: LlamaParseWorkflowParams) => {
-    const apiKey = params.apiKey ?? getEnv("LLAMA_CLOUD_API_KEY");
-    const region = params.region ?? "us";
-    if (!apiKey) {
-      throw new Error("LLAMA_CLOUD_API_KEY is not set");
-    }
-    return {
-      cache: {} as Record<string, StatusEnum>,
-      client: createClient(
-        createConfig({
-          baseUrl: URLS[region],
-          headers: {
-            Authorization: `Bearer ${apiKey}`,
-          },
-        }),
-      ),
-    };
-  },
-);
-
-const llamaParseWorkflow = withState(withTraceEvents(createWorkflow()));
-
-llamaParseWorkflow.handle([uploadEvent], async ({ data: form }) => {
-  const { state } = getContext();
-  const finalForm = { ...form };
-  if ("file" in form) {
-    // support loads from the file system
-    const file = form?.file;
-    const isFilePath = typeof file === "string";
-    const data = isFilePath ? await fs.readFile(file) : file;
-    const filename: string | undefined = isFilePath
-      ? path.basename(file)
-      : undefined;
-    finalForm.file = data
-      ? globalThis.File && filename
-        ? new File([data], filename)
-        : new Blob([data])
-      : undefined;
-  }
-  const {
-    data: { id, status },
-  } = await uploadFileApiV1ParsingUploadPost({
-    throwOnError: true,
-    body: {
-      ...finalForm,
-    } as BodyUploadFileApiV1ParsingUploadPost,
-    client: state.client,
-  });
-  state.cache[id] = status;
-  return checkStatusEvent.with(id);
-});
-
-llamaParseWorkflow.handle(
-  [checkStatusEvent],
-  pRetryHandler(
-    async ({ data: uuid }) => {
-      const { state } = getContext();
-      if (state.cache[uuid] === "SUCCESS") {
-        return checkStatusSuccessEvent.with(uuid);
-      }
-      const {
-        data: { status },
-      } = await getJobApiV1ParsingJobJobIdGet({
-        throwOnError: true,
-        path: {
-          job_id: uuid,
-        },
-        client: state.client,
-      });
-      state.cache[uuid] = status;
-      if (status === "SUCCESS") {
-        return checkStatusSuccessEvent.with(uuid);
-      }
-      throw new Error(`LLamaParse status: ${status}`);
-    },
-    {
-      retries: 100,
-    },
-  ),
-);
-
-//#region sub workflow
-llamaParseWorkflow.handle([requestMarkdownEvent], async ({ data: job_id }) => {
-  const { state } = getContext();
-  const { data } = await getJobResultApiV1ParsingJobJobIdResultMarkdownGet({
-    throwOnError: true,
-    path: {
-      job_id,
-    },
-    client: state.client,
-  });
-  return markdownResultEvent.with(data.markdown);
-});
-
-llamaParseWorkflow.handle([requestTextEvent], async ({ data: job_id }) => {
-  const { state } = getContext();
-  const { data } = await getJobTextResultApiV1ParsingJobJobIdResultTextGet({
-    throwOnError: true,
-    path: {
-      job_id,
-    },
-    client: state.client,
-  });
-  return textResultEvent.with(data.text);
-});
-
-llamaParseWorkflow.handle([requestJsonEvent], async ({ data: job_id }) => {
-  const { state } = getContext();
-  const { data } = await getJobJsonResultApiV1ParsingJobJobIdResultJsonGet({
-    throwOnError: true,
-    path: {
-      job_id,
-    },
-    client: state.client,
-  });
-  return jsonResultEvent.with(data.pages);
-});
-//#endregion
-
-export type ParseJob = {
-  get jobId(): string;
-  get signal(): AbortSignal;
-  get context(): ReturnType<typeof llamaParseWorkflow.createContext>;
-  get form(): InferWorkflowEventData<typeof uploadEvent>;
-
-  markdown(): Promise<string>;
-  text(): Promise<string>;
-  //eslint-disable-next-line @typescript-eslint/no-explicit-any
-  json(): Promise<any[]>;
-};
-
-export const upload = async (
-  params: InferWorkflowEventData<typeof uploadEvent> & LlamaParseWorkflowParams,
-): Promise<ParseJob> => {
-  //#region upload event
-  const context = llamaParseWorkflow.createContext(params);
-  const { stream, sendEvent } = context;
-  const ev = uploadEvent.with(params);
-  sendEvent(ev);
-
-  const uploadThread = await llamaParseWorkflow
-    .substream(ev, stream)
-    .until((ev) => checkStatusSuccessEvent.include(ev))
-    .toArray();
-  //#region
-  const jobId: string = uploadThread.at(-1)!.data;
-  return {
-    get signal() {
-      // lazy load
-      return context.signal;
-    },
-    get jobId() {
-      return jobId;
-    },
-    get form() {
-      return ev.data;
-    },
-    get context() {
-      return context;
-    },
-    async markdown(): Promise<string> {
-      const requestEv = requestMarkdownEvent.with(jobId);
-      const { sendEvent, stream } = llamaParseWorkflow.createContext(params);
-      sendEvent(requestEv);
-      const markdownThread = await stream.until(markdownResultEvent).toArray();
-      return markdownThread.at(-1)!.data;
-    },
-    async text(): Promise<string> {
-      const requestEv = requestTextEvent.with(jobId);
-      const { sendEvent, stream } = llamaParseWorkflow.createContext(params);
-      sendEvent(requestEv);
-      const textThread = await stream.until(textResultEvent).toArray();
-      return textThread.at(-1)!.data;
-    },
-    //eslint-disable-next-line @typescript-eslint/no-explicit-any
-    async json(): Promise<any[]> {
-      const requestEv = requestJsonEvent.with(jobId);
-      const { sendEvent, stream } = llamaParseWorkflow.createContext(params);
-      sendEvent(requestEv);
-      const jsonThread = await stream
-        .until((ev) => jsonResultEvent.include(ev))
-        .toArray();
-      return jsonThread.at(-1)!.data;
-    },
-  };
-};
@@ -1,781 +0,0 @@
-/* eslint-disable @typescript-eslint/no-explicit-any */
-import { type Client, createClient, createConfig } from "@hey-api/client-fetch";
-import { Document, FileReader } from "@llamaindex/core/schema";
-import { fs, getEnv, path } from "@llamaindex/env";
-import {
-  type BodyUploadFileApiParsingUploadPost,
-  type FailPageMode,
-  type ParserLanguages,
-  type ParsingMode,
-  getJobApiV1ParsingJobJobIdGet,
-  getJobImageResultApiV1ParsingJobJobIdResultImageNameGet,
-  getJobJsonResultApiV1ParsingJobJobIdResultJsonGet,
-  getJobResultApiV1ParsingJobJobIdResultMarkdownGet,
-  getJobTextResultApiV1ParsingJobJobIdResultTextGet,
-  uploadFileApiV1ParsingUploadPost,
-} from "./api";
-import { sleep } from "./utils";
-
-export type Language = ParserLanguages;
-export type ResultType = "text" | "markdown" | "json";
-
-// Export the backoff pattern type.
-export type BackoffPattern = "constant" | "linear" | "exponential";
-
-// TODO: should move into @llamaindex/env
-type WriteStream = {
-  write: (text: string) => void;
-};
-
-// Do not modify this variable or cause type errors
-// eslint-disable-next-line no-var
-var process: any;
-
-/**
- * Represents a reader for parsing files using the LlamaParse API.
- * See https://github.com/run-llama/llama_parse
- */
-export class LlamaParseReader extends FileReader {
-  project_id?: string | undefined;
-  organization_id?: string | undefined;
-  // The API key for the LlamaParse API. Can be set as an environment variable: LLAMA_CLOUD_API_KEY
-  apiKey: string;
-  // The base URL of the Llama Cloud Platform.
-  baseUrl: string = "https://api.cloud.llamaindex.ai";
-  // The result type for the parser.
-  resultType: ResultType = "text";
-  // The interval in seconds to check if the parsing is done.
-  checkInterval: number = 1;
-  // The maximum timeout in seconds to wait for the parsing to finish.
-  maxTimeout = 2000;
-  // Whether to print the progress of the parsing.
-  verbose = true;
-  // The language to parse the file in.
-  language: ParserLanguages[] = ["en"];
-
-  // New polling options:
-  // Controls the backoff mode: "constant", "linear", or "exponential".
-  backoffPattern: BackoffPattern = "linear";
-  // Maximum interval in seconds between polls.
-  maxCheckInterval: number = 5;
-  // Maximum number of retryable errors before giving up.
-  maxErrorCount: number = 4;
-
-  // The parsing instruction for the parser. Backend default is an empty string.
-  parsingInstruction?: string | undefined;
-  // Whether to ignore diagonal text (when the text rotation in degrees is not 0, 90, 180, or 270). Backend default is false.
-  skipDiagonalText?: boolean | undefined;
-  // Whether to ignore the cache and re-process the document. Documents are cached for 48 hours after job completion. Backend default is false.
-  invalidateCache?: boolean | undefined;
-  // Whether the document should not be cached. Backend default is false.
-  doNotCache?: boolean | undefined;
-  // Whether to use a faster mode to extract text (skipping OCR and table/heading reconstruction). Not compatible with gpt4oMode. Backend default is false.
-  fastMode?: boolean | undefined;
-  // Whether to keep columns in the text according to document layout. May reduce reconstruction accuracy and LLM/embedings performance.
-  doNotUnrollColumns?: boolean | undefined;
-  // A templated page separator for splitting text. If not set, default is "\n---\n".
-  pageSeparator?: string | undefined;
-  // A templated prefix to add at the beginning of each page.
-  pagePrefix?: string | undefined;
-  // A templated suffix to add at the end of each page.
-  pageSuffix?: string | undefined;
-  // Deprecated. Use vendorMultimodal params. Whether to use gpt-4o to extract text.
-  gpt4oMode: boolean = false;
-  // Deprecated. Use vendorMultimodal params. The API key for GPT-4o. Can be set via LLAMA_CLOUD_GPT4O_API_KEY.
-  gpt4oApiKey?: string | undefined;
-  // The bounding box margins as a string.
-  boundingBox?: string | undefined;
-  // The target pages (comma separated list, starting at 0).
-  targetPages?: string | undefined;
-  // Whether to ignore errors during parsing.
-  ignoreErrors: boolean = true;
-  // Whether to split by page using the pageSeparator (or "\n---\n" as default).
-  splitByPage: boolean = true;
-  // Whether to use the vendor multimodal API.
-  useVendorMultimodalModel: boolean = false;
-  // The model name for the vendor multimodal API.
-  vendorMultimodalModelName?: string | undefined;
-  // The API key for the multimodal API. Can be set via LLAMA_CLOUD_VENDOR_MULTIMODAL_API_KEY.
-  vendorMultimodalApiKey?: string | undefined;
-
-  webhookUrl?: string | undefined;
-  premiumMode?: boolean | undefined;
-  takeScreenshot?: boolean | undefined;
-  disableOcr?: boolean | undefined;
-  disableReconstruction?: boolean | undefined;
-  inputS3Path?: string | undefined;
-  outputS3PathPrefix?: string | undefined;
-  continuousMode?: boolean | undefined;
-  isFormattingInstruction?: boolean | undefined;
-  annotateLinks?: boolean | undefined;
-  azureOpenaiDeploymentName?: string | undefined;
-  azureOpenaiEndpoint?: string | undefined;
-  azureOpenaiApiVersion?: string | undefined;
-  azureOpenaiKey?: string | undefined;
-  auto_mode?: boolean | undefined;
-  auto_mode_trigger_on_image_in_page?: boolean | undefined;
-  auto_mode_trigger_on_table_in_page?: boolean | undefined;
-  auto_mode_trigger_on_text_in_page?: string | undefined;
-  auto_mode_trigger_on_regexp_in_page?: string | undefined;
-  bbox_bottom?: number | undefined;
-  bbox_left?: number | undefined;
-  bbox_right?: number | undefined;
-  bbox_top?: number | undefined;
-  disable_image_extraction?: boolean | undefined;
-  extract_charts?: boolean | undefined;
-  guess_xlsx_sheet_name?: boolean | undefined;
-  html_make_all_elements_visible?: boolean | undefined;
-  html_remove_fixed_elements?: boolean | undefined;
-  html_remove_navigation_elements?: boolean | undefined;
-  http_proxy?: string | undefined;
-  input_url?: string | undefined;
-  max_pages?: number | undefined;
-  output_pdf_of_document?: boolean | undefined;
-  structured_output?: boolean | undefined;
-  structured_output_json_schema?: string | undefined;
-  structured_output_json_schema_name?: string | undefined;
-  extract_layout?: boolean | undefined;
-
-  // numWorkers is implemented in SimpleDirectoryReader
-  stdout?: WriteStream | undefined;
-
-  readonly #client: Client;
-
-  output_tables_as_HTML: boolean = false;
-  input_s3_region?: string | undefined;
-  output_s3_region?: string | undefined;
-  preserve_layout_alignment_across_pages?: boolean | undefined;
-  spreadsheet_extract_sub_tables?: boolean | undefined;
-  formatting_instruction?: string | undefined;
-  parse_mode?: ParsingMode | undefined;
-  system_prompt?: string | undefined;
-  system_prompt_append?: string | undefined;
-  user_prompt?: string | undefined;
-  job_timeout_in_seconds?: number | undefined;
-  job_timeout_extra_time_per_page_in_seconds?: number | undefined;
-  strict_mode_image_extraction?: boolean | undefined;
-  strict_mode_image_ocr?: boolean | undefined;
-  strict_mode_reconstruction?: boolean | undefined;
-  strict_mode_buggy_font?: boolean | undefined;
-  ignore_document_elements_for_layout_detection?: boolean | undefined;
-  complemental_formatting_instruction?: string | undefined;
-  content_guideline_instruction?: string | undefined;
-  adaptive_long_table?: boolean | undefined;
-  model?: string | undefined;
-  auto_mode_configuration_json?: string | undefined;
-  compact_markdown_table?: boolean | undefined;
-  markdown_table_multiline_header_separator?: string | undefined;
-  page_error_tolerance?: number | undefined;
-  replace_failed_page_mode?: FailPageMode | undefined;
-  replace_failed_page_with_error_message_prefix?: string | undefined;
-  replace_failed_page_with_error_message_suffix?: string | undefined;
-  save_images?: boolean | undefined;
-  preset?: string | undefined;
-  high_res_ocr?: boolean | undefined;
-  outlined_table_extraction?: boolean | undefined;
-  hide_headers?: boolean | undefined;
-  hide_footers?: boolean | undefined;
-  page_header_prefix?: string | undefined;
-  page_header_suffix?: string | undefined;
-  page_footer_prefix?: string | undefined;
-  page_footer_suffix?: string | undefined;
-  merge_tables_across_pages_in_markdown?: boolean | undefined;
-
-  constructor(
-    params: Partial<Omit<LlamaParseReader, "language" | "apiKey">> & {
-      language?: ParserLanguages | ParserLanguages[] | undefined;
-      apiKey?: string | undefined;
-    } = {},
-  ) {
-    super();
-    Object.assign(this, params);
-    this.language = Array.isArray(this.language)
-      ? this.language
-      : [this.language];
-    this.stdout =
-      (params.stdout ?? typeof process !== "undefined")
-        ? process!.stdout
-        : undefined;
-    const apiKey = params.apiKey ?? getEnv("LLAMA_CLOUD_API_KEY");
-    if (!apiKey) {
-      throw new Error(
-        "API Key is required for LlamaParseReader. Please pass the apiKey parameter or set the LLAMA_CLOUD_API_KEY environment variable.",
-      );
-    }
-    this.apiKey = apiKey;
-    if (this.baseUrl.endsWith("/")) {
-      this.baseUrl = this.baseUrl.slice(0, -1);
-    }
-    if (this.baseUrl.endsWith("/api/parsing")) {
-      this.baseUrl = this.baseUrl.slice(0, -"/api/parsing".length);
-    }
-
-    if (params.gpt4oMode) {
-      params.gpt4oApiKey =
-        params.gpt4oApiKey ?? getEnv("LLAMA_CLOUD_GPT4O_API_KEY");
-
-      this.gpt4oApiKey = params.gpt4oApiKey;
-    }
-    if (params.useVendorMultimodalModel) {
-      params.vendorMultimodalApiKey =
-        params.vendorMultimodalApiKey ??
-        getEnv("LLAMA_CLOUD_VENDOR_MULTIMODAL_API_KEY");
-
-      this.vendorMultimodalApiKey = params.vendorMultimodalApiKey;
-    }
-
-    this.#client = createClient(
-      createConfig({
-        headers: {
-          Authorization: `Bearer ${this.apiKey}`,
-        },
-        baseUrl: this.baseUrl,
-      }),
-    );
-  }
-
-  /**
-   * Creates a job for the LlamaParse API.
-   *
-   * @param data - The file data as a Uint8Array.
-   * @param filename - Optional filename for the file.
-   * @returns A Promise resolving to the job ID as a string.
-   */
-  async #createJob(
-    data: Uint8Array | string,
-    filename?: string,
-  ): Promise<string> {
-    if (this.verbose) {
-      console.log("Started uploading the file");
-    }
-
-    let file: File | Blob | null = null;
-    let input_s3_path: string | undefined = this.inputS3Path;
-    let input_url: string | undefined = this.input_url;
-    if (typeof data !== "string") {
-      // TODO: remove Blob usage when we drop Node.js 18 support
-      file =
-        globalThis.File && filename
-          ? new File([data], filename)
-          : new Blob([data]);
-    } else if (data.startsWith("s3://")) {
-      input_s3_path = data;
-    } else if (data.startsWith("http://") || data.startsWith("https://")) {
-      input_url = data;
-    }
-
-    const body = {
-      file,
-      input_s3_path,
-      input_url,
-      language: this.language,
-      parsing_instruction: this.parsingInstruction,
-      skip_diagonal_text: this.skipDiagonalText,
-      invalidate_cache: this.invalidateCache,
-      do_not_cache: this.doNotCache,
-      fast_mode: this.fastMode,
-      do_not_unroll_columns: this.doNotUnrollColumns,
-      page_separator: this.pageSeparator,
-      page_prefix: this.pagePrefix,
-      page_suffix: this.pageSuffix,
-      gpt4o_mode: this.gpt4oMode,
-      gpt4o_api_key: this.gpt4oApiKey,
-      bounding_box: this.boundingBox,
-      target_pages: this.targetPages,
-      use_vendor_multimodal_model: this.useVendorMultimodalModel,
-      vendor_multimodal_model_name: this.vendorMultimodalModelName,
-      vendor_multimodal_api_key: this.vendorMultimodalApiKey,
-      premium_mode: this.premiumMode,
-      webhook_url: this.webhookUrl,
-      take_screenshot: this.takeScreenshot,
-      disable_ocr: this.disableOcr,
-      disable_reconstruction: this.disableReconstruction,
-      output_s3_path_prefix: this.outputS3PathPrefix,
-      continuous_mode: this.continuousMode,
-      is_formatting_instruction: this.isFormattingInstruction,
-      annotate_links: this.annotateLinks,
-      azure_openai_deployment_name: this.azureOpenaiDeploymentName,
-      azure_openai_endpoint: this.azureOpenaiEndpoint,
-      azure_openai_api_version: this.azureOpenaiApiVersion,
-      azure_openai_key: this.azureOpenaiKey,
-      auto_mode: this.auto_mode,
-      auto_mode_trigger_on_image_in_page:
-        this.auto_mode_trigger_on_image_in_page,
-      auto_mode_trigger_on_table_in_page:
-        this.auto_mode_trigger_on_table_in_page,
-      auto_mode_trigger_on_text_in_page: this.auto_mode_trigger_on_text_in_page,
-      auto_mode_trigger_on_regexp_in_page:
-        this.auto_mode_trigger_on_regexp_in_page,
-      bbox_bottom: this.bbox_bottom,
-      bbox_left: this.bbox_left,
-      bbox_right: this.bbox_right,
-      bbox_top: this.bbox_top,
-      disable_image_extraction: this.disable_image_extraction,
-      extract_charts: this.extract_charts,
-      guess_xlsx_sheet_name: this.guess_xlsx_sheet_name,
-      html_make_all_elements_visible: this.html_make_all_elements_visible,
-      html_remove_fixed_elements: this.html_remove_fixed_elements,
-      html_remove_navigation_elements: this.html_remove_navigation_elements,
-      http_proxy: this.http_proxy,
-      max_pages: this.max_pages,
-      output_pdf_of_document: this.output_pdf_of_document,
-      structured_output: this.structured_output,
-      structured_output_json_schema: this.structured_output_json_schema,
-      structured_output_json_schema_name:
-        this.structured_output_json_schema_name,
-      extract_layout: this.extract_layout,
-      output_tables_as_HTML: this.output_tables_as_HTML,
-      input_s3_region: this.input_s3_region,
-      output_s3_region: this.output_s3_region,
-      preserve_layout_alignment_across_pages:
-        this.preserve_layout_alignment_across_pages,
-      spreadsheet_extract_sub_tables: this.spreadsheet_extract_sub_tables,
-      formatting_instruction: this.formatting_instruction,
-      parse_mode: this.parse_mode,
-      system_prompt: this.system_prompt,
-      system_prompt_append: this.system_prompt_append,
-      user_prompt: this.user_prompt,
-      job_timeout_in_seconds: this.job_timeout_in_seconds,
-      job_timeout_extra_time_per_page_in_seconds:
-        this.job_timeout_extra_time_per_page_in_seconds,
-      strict_mode_image_extraction: this.strict_mode_image_extraction,
-      strict_mode_image_ocr: this.strict_mode_image_ocr,
-      strict_mode_reconstruction: this.strict_mode_reconstruction,
-      strict_mode_buggy_font: this.strict_mode_buggy_font,
-      ignore_document_elements_for_layout_detection:
-        this.ignore_document_elements_for_layout_detection,
-      complemental_formatting_instruction:
-        this.complemental_formatting_instruction,
-      content_guideline_instruction: this.content_guideline_instruction,
-      adaptive_long_table: this.adaptive_long_table,
-      model: this.model,
-      auto_mode_configuration_json: this.auto_mode_configuration_json,
-      compact_markdown_table: this.compact_markdown_table,
-      markdown_table_multiline_header_separator:
-        this.markdown_table_multiline_header_separator,
-      page_error_tolerance: this.page_error_tolerance,
-      replace_failed_page_mode: this.replace_failed_page_mode,
-      replace_failed_page_with_error_message_prefix:
-        this.replace_failed_page_with_error_message_prefix,
-      replace_failed_page_with_error_message_suffix:
-        this.replace_failed_page_with_error_message_suffix,
-      save_images: this.save_images,
-      preset: this.preset,
-      high_res_ocr: this.high_res_ocr,
-      outlined_table_extraction: this.outlined_table_extraction,
-      hide_headers: this.hide_headers,
-      hide_footers: this.hide_footers,
-      page_header_prefix: this.page_header_prefix,
-      page_header_suffix: this.page_header_suffix,
-      page_footer_prefix: this.page_footer_prefix,
-      page_footer_suffix: this.page_footer_suffix,
-      merge_tables_across_pages_in_markdown:
-        this.merge_tables_across_pages_in_markdown,
-    } satisfies {
-      [Key in keyof BodyUploadFileApiParsingUploadPost]-?:
-        | BodyUploadFileApiParsingUploadPost[Key]
-        | undefined;
-    } as unknown as BodyUploadFileApiParsingUploadPost;
-
-    const response = await uploadFileApiV1ParsingUploadPost({
-      client: this.#client,
-      throwOnError: true,
-      query: {
-        project_id: this.project_id ?? null,
-        organization_id: this.organization_id ?? null,
-      },
-      signal: AbortSignal.timeout(this.maxTimeout * 1000),
-      body,
-    });
-
-    return response.data.id;
-  }
-
-  /**
-   * Retrieves the result of a parsing job.
-   *
-   * Uses a polling loop with retry logic. Each API call is retried
-   * up to maxErrorCount times if it fails with a 5XX or socket error.
-   * The delay between polls increases according to the specified backoffPattern ("constant", "linear", or "exponential"),
-   * capped by maxCheckInterval.
-   *
-   * @param jobId - The job ID.
-   * @param resultType - The type of result to fetch ("text", "json", or "markdown").
-   * @returns A Promise resolving to the job result.
-   */
-  private async getJobResult(
-    jobId: string,
-    resultType: "text" | "json" | "markdown",
-  ): Promise<any> {
-    let tries = 0;
-    let currentInterval = this.checkInterval;
-    const { default: pRetry } = await import("p-retry");
-
-    while (true) {
-      await sleep(currentInterval * 1000);
-
-      // Wraps the API call in a retry
-      let result;
-      try {
-        result = await pRetry(
-          () =>
-            getJobApiV1ParsingJobJobIdGet({
-              client: this.#client,
-              throwOnError: true,
-              path: { job_id: jobId },
-              signal: AbortSignal.timeout(this.maxTimeout * 1000),
-            }),
-          {
-            retries: this.maxErrorCount,
-            onFailedAttempt: (error) => {
-              // Retry only on 5XX or socket errors.
-              const status = (error.cause as any)?.response?.status;
-              if (
-                !(
-                  (status && status >= 500 && status < 600) ||
-                  ((error.cause as any)?.code &&
-                    ((error.cause as any).code === "ECONNRESET" ||
-                      (error.cause as any).code === "ETIMEDOUT" ||
-                      (error.cause as any).code === "ECONNREFUSED"))
-                )
-              ) {
-                throw error;
-              }
-              if (this.verbose) {
-                console.warn(
-                  `Attempting to get job ${jobId} result (attempt ${error.attemptNumber}) failed. Retrying...`,
-                );
-              }
-            },
-          },
-        );
-      } catch (e: any) {
-        throw new Error(
-          `Max error count reached for job ${jobId}: ${e.message}`,
-        );
-      }
-
-      const { data } = result;
-      const status = (data as Record<string, unknown>)["status"];
-
-      if (status === "SUCCESS") {
-        let resultData;
-        switch (resultType) {
-          case "json": {
-            resultData =
-              await getJobJsonResultApiV1ParsingJobJobIdResultJsonGet({
-                client: this.#client,
-                throwOnError: true,
-                path: { job_id: jobId },
-                query: {
-                  organization_id: this.organization_id ?? null,
-                },
-                signal: AbortSignal.timeout(this.maxTimeout * 1000),
-              });
-            break;
-          }
-          case "markdown": {
-            resultData =
-              await getJobResultApiV1ParsingJobJobIdResultMarkdownGet({
-                client: this.#client,
-                throwOnError: true,
-                path: { job_id: jobId },
-                query: {
-                  organization_id: this.organization_id ?? null,
-                },
-                signal: AbortSignal.timeout(this.maxTimeout * 1000),
-              });
-            break;
-          }
-          case "text": {
-            resultData =
-              await getJobTextResultApiV1ParsingJobJobIdResultTextGet({
-                client: this.#client,
-                throwOnError: true,
-                path: { job_id: jobId },
-                query: {
-                  organization_id: this.organization_id ?? null,
-                },
-                signal: AbortSignal.timeout(this.maxTimeout * 1000),
-              });
-            break;
-          }
-        }
-        return resultData.data;
-      } else if (status === "PENDING") {
-        if (this.verbose && tries % 10 === 0) {
-          this.stdout?.write(".");
-        }
-        tries++;
-      } else {
-        if (this.verbose) {
-          console.error(
-            `Received error response ${status} for job ${jobId}. Got Error Code: ${data.error_code} and Error Message: ${data.error_message}`,
-          );
-        }
-        throw new Error(
-          `Failed to parse the file: ${jobId}, status: ${status}`,
-        );
-      }
-
-      // Adjust the polling interval based on the backoff pattern.
-      if (this.backoffPattern === "exponential") {
-        currentInterval = Math.min(currentInterval * 2, this.maxCheckInterval);
-      } else if (this.backoffPattern === "linear") {
-        currentInterval = Math.min(
-          currentInterval + this.checkInterval,
-          this.maxCheckInterval,
-        );
-      } else if (this.backoffPattern === "constant") {
-        currentInterval = this.checkInterval;
-      }
-    }
-  }
-
-  override async loadData(filePath?: string): Promise<Document[]> {
-    if (!filePath) {
-      if (this.input_url) {
-        return this.loadDataAsContent(this.input_url, this.input_url);
-      } else if (this.inputS3Path) {
-        return this.loadDataAsContent(this.inputS3Path, this.inputS3Path);
-      } else {
-        throw new TypeError("File path is required");
-      }
-    } else {
-      const data =
-        filePath.startsWith("s3://") ||
-        filePath.startsWith("http://") ||
-        filePath.startsWith("https://")
-          ? filePath
-          : await fs.readFile(filePath);
-      return this.loadDataAsContent(data, filePath);
-    }
-  }
-
-  /**
-   * Loads data from a file and returns an array of Document objects.
-   * To be used with resultType "text" or "markdown".
-   *
-   * @param fileContent - The content of the file as a Uint8Array.
-   * @param filename - Optional filename for the file.
-   * @returns A Promise that resolves to an array of Document objects.
-   */
-  async loadDataAsContent(
-    fileContent: Uint8Array | string,
-    filename?: string,
-  ): Promise<Document[]> {
-    return this.#createJob(fileContent, filename)
-      .then(async (jobId) => {
-        if (this.verbose) {
-          console.log(`Started parsing the file under job id ${jobId}`);
-        }
-
-        // Return results as Document objects.
-        const jobResults = await this.getJobResult(jobId, this.resultType);
-        const resultText = jobResults[this.resultType];
-
-        // Split the text by separator if splitByPage is true.
-        if (this.splitByPage) {
-          return this.splitTextBySeparator(resultText);
-        }
-
-        return [new Document({ text: resultText })];
-      })
-      .catch((error) => {
-        console.warn(
-          `Error while parsing the file with: ${error.message ?? error.detail}`,
-        );
-        if (this.ignoreErrors) {
-          return [];
-        } else {
-          throw error;
-        }
-      });
-  }
-
-  /**
-   * Loads data from a file and returns an array of JSON objects.
-   * To be used with resultType "json".
-   *
-   * @param filePathOrContent - The file path or the file content as a Uint8Array.
-   * @returns A Promise that resolves to an array of JSON objects.
-   */
-  async loadJson(
-    filePathOrContent: string | Uint8Array,
-  ): Promise<Record<string, any>[]> {
-    let jobId;
-    const isFilePath =
-      typeof filePathOrContent === "string" &&
-      !(
-        filePathOrContent.startsWith("s3://") ||
-        filePathOrContent.startsWith("http://") ||
-        filePathOrContent.startsWith("https://")
-      );
-    try {
-      const data = isFilePath
-        ? await fs.readFile(filePathOrContent)
-        : filePathOrContent;
-      // Create a job for the file.
-      jobId = await this.#createJob(
-        data,
-        isFilePath ? path.basename(filePathOrContent) : undefined,
-      );
-      if (this.verbose) {
-        console.log(`Started parsing the file under job id ${jobId}`);
-      }
-
-      // Return results as an array of JSON objects.
-      const resultJson = await this.getJobResult(jobId, "json");
-      resultJson.job_id = jobId;
-      resultJson.file_path = isFilePath ? filePathOrContent : undefined;
-      return [resultJson];
-    } catch (e) {
-      console.error(`Error while parsing the file under job id ${jobId}`, e);
-      if (this.ignoreErrors) {
-        return [];
-      } else {
-        throw e;
-      }
-    }
-  }
-
-  /**
-   * Downloads and saves images from a given JSON result to a specified download path.
-   * Currently only supports resultType "json".
-   *
-   * @param jsonResult - The JSON result containing image information.
-   * @param downloadPath - The path where the downloaded images will be saved.
-   * @returns A Promise that resolves to an array of image objects.
-   */
-  async getImages(
-    jsonResult: Record<string, any>[],
-    downloadPath: string,
-  ): Promise<Record<string, any>[]> {
-    try {
-      // Create download directory if it doesn't exist (checks for write access).
-      try {
-        await fs.access(downloadPath);
-      } catch {
-        await fs.mkdir(downloadPath, { recursive: true });
-      }
-
-      const images: Record<string, any>[] = [];
-      for (const result of jsonResult) {
-        const jobId = result.job_id;
-        for (const page of result.pages) {
-          if (this.verbose) {
-            console.log(`> Image for page ${page.page}: ${page.images}`);
-          }
-          for (const image of page.images) {
-            const imageName = image.name;
-            const imagePath = await this.getImagePath(
-              downloadPath,
-              jobId,
-              imageName,
-            );
-            await this.fetchAndSaveImage(imageName, imagePath, jobId);
-            // Assign metadata to the image.
-            image.path = imagePath;
-            image.job_id = jobId;
-            image.original_pdf_path = result.file_path;
-            image.page_number = page.page;
-            images.push(image);
-          }
-        }
-      }
-      return images;
-    } catch (e) {
-      console.error(`Error while downloading images from the parsed result`, e);
-      if (this.ignoreErrors) {
-        return [];
-      } else {
-        throw e;
-      }
-    }
-  }
-
-  /**
-   * Constructs the file path for an image.
-   *
-   * @param downloadPath - The base download directory.
-   * @param jobId - The job ID.
-   * @param imageName - The image name.
-   * @returns A Promise that resolves to the full image path.
-   */
-  private async getImagePath(
-    downloadPath: string,
-    jobId: string,
-    imageName: string,
-  ): Promise<string> {
-    return path.join(downloadPath, `${jobId}-${imageName}`);
-  }
-
-  /**
-   * Fetches an image from the API and saves it to the specified path.
-   *
-   * @param imageName - The name of the image.
-   * @param imagePath - The local path to save the image.
-   * @param jobId - The associated job ID.
-   */
-  private async fetchAndSaveImage(
-    imageName: string,
-    imagePath: string,
-    jobId: string,
-  ): Promise<void> {
-    const response =
-      await getJobImageResultApiV1ParsingJobJobIdResultImageNameGet({
-        client: this.#client,
-        path: {
-          job_id: jobId,
-          name: imageName,
-        },
-      });
-    if (response.error) {
-      throw new Error(`Failed to download image: ${response.error.detail}`);
-    }
-    const blob = (await response.data) as Blob;
-    // Write the image buffer to the specified imagePath.
-    await fs.writeFile(imagePath, new Uint8Array(await blob.arrayBuffer()));
-  }
-
-  /**
-   * Filters out invalid values (null, undefined, empty string) for specific parameters.
-   *
-   * @param params - The parameters object.
-   * @param keysToCheck - The keys to check for valid values.
-   * @returns A new object with filtered parameters.
-   */
-  private filterSpecificParams(
-    params: Record<string, any>,
-    keysToCheck: string[],
-  ): Record<string, any> {
-    const filteredParams: Record<string, any> = {};
-    for (const [key, value] of Object.entries(params)) {
-      if (keysToCheck.includes(key)) {
-        if (value !== null && value !== undefined && value !== "") {
-          filteredParams[key] = value;
-        }
-      } else {
-        filteredParams[key] = value;
-      }
-    }
-    return filteredParams;
-  }
-
-  /**
-   * Splits text into Document objects using the page separator.
-   *
-   * @param text - The text to be split.
-   * @returns An array of Document objects.
-   */
-  private splitTextBySeparator(text: string): Document[] {
-    const separator = this.pageSeparator ?? "\n---\n";
-    const textChunks = text.split(separator);
-    return textChunks.map(
-      (docChunk: string) =>
-        new Document({
-          text: docChunk,
-        }),
-    );
-  }
-}
@@ -1,131 +0,0 @@
-import { FailPageMode, ParserLanguages, ParsingMode } from "./client";
-
-import { z } from "zod";
-
-type Language = ParserLanguages;
-const VALUES: [Language, ...Language[]] = [
-  ParserLanguages.EN,
-  ...Object.values(ParserLanguages),
-];
-const languageSchema = z.enum(VALUES);
-
-const PARSE_PRESETS = [
-  "fast",
-  "balanced",
-  "premium",
-  "structured",
-  "auto",
-  "scientific",
-  "invoice",
-  "slides",
-  "_carlyle",
-] as const;
-
-export const parsePresetSchema = z.enum(PARSE_PRESETS);
-
-export const parseFormSchema = z.object({
-  adaptive_long_table: z.boolean().optional(),
-  annotate_links: z.boolean().optional(),
-  auto_mode: z.boolean().optional(),
-  auto_mode_trigger_on_image_in_page: z.boolean().optional(),
-  auto_mode_trigger_on_table_in_page: z.boolean().optional(),
-  auto_mode_trigger_on_text_in_page: z.string().optional(),
-  auto_mode_trigger_on_regexp_in_page: z.string().optional(),
-  auto_mode_configuration_json: z.string().optional(),
-  azure_openai_api_version: z.string().optional(),
-  azure_openai_deployment_name: z.string().optional(),
-  azure_openai_endpoint: z.string().optional(),
-  azure_openai_key: z.string().optional(),
-  bbox_bottom: z.number().min(0).max(1).optional(),
-  bbox_left: z.number().min(0).max(1).optional(),
-  bbox_right: z.number().min(0).max(1).optional(),
-  bbox_top: z.number().min(0).max(1).optional(),
-  disable_ocr: z.boolean().optional(),
-  disable_reconstruction: z.boolean().optional(),
-  disable_image_extraction: z.boolean().optional(),
-  do_not_cache: z.coerce.boolean().optional(),
-  do_not_unroll_columns: z.coerce.boolean().optional(),
-  extract_charts: z.boolean().optional(),
-  guess_xlsx_sheet_name: z.boolean().optional(),
-  html_make_all_elements_visible: z.boolean().optional(),
-  html_remove_fixed_elements: z.boolean().optional(),
-  html_remove_navigation_elements: z.boolean().optional(),
-  http_proxy: z
-    .string()
-    .url(
-      'Set a valid URL for the HTTP proxy, e.g., "http://proxy.example.com:8080"',
-    )
-    .refine(
-      (url) => {
-        try {
-          const parsedUrl = new URL(url);
-          return (
-            parsedUrl.protocol === "http:" || parsedUrl.protocol === "https:"
-          );
-        } catch {
-          return false;
-        }
-      },
-      {
-        message: "Invalid HTTP proxy URL",
-      },
-    )
-    .optional(),
-  input_s3_path: z.string().optional(),
-  input_s3_region: z.string().optional(),
-  input_url: z.string().optional(),
-  invalidate_cache: z.boolean().optional(),
-  language: z.array(languageSchema).optional(),
-  extract_layout: z.boolean().optional(),
-  max_pages: z.number().nullable().optional(),
-  output_pdf_of_document: z.boolean().optional(),
-  output_s3_path_prefix: z.string().optional(),
-  output_s3_region: z.string().optional(),
-  page_prefix: z.string().optional(),
-  page_separator: z.string().optional(),
-  page_suffix: z.string().optional(),
-  preserve_layout_alignment_across_pages: z.boolean().optional(),
-  skip_diagonal_text: z.boolean().optional(),
-  spreadsheet_extract_sub_tables: z.boolean().optional(),
-  structured_output: z.boolean().optional(),
-  structured_output_json_schema: z.string().optional(),
-  structured_output_json_schema_name: z.string().optional(),
-  take_screenshot: z.boolean().optional(),
-  target_pages: z.string().optional(),
-  vendor_multimodal_api_key: z.string().optional(),
-  vendor_multimodal_model_name: z.string().optional(),
-  model: z.string().optional(),
-  webhook_url: z.string().url().optional(),
-  parse_mode: z.nativeEnum(ParsingMode).nullable().optional(),
-  system_prompt: z.string().optional(),
-  system_prompt_append: z.string().optional(),
-  user_prompt: z.string().optional(),
-  job_timeout_in_seconds: z.number().optional(),
-  job_timeout_extra_time_per_page_in_seconds: z.number().optional(),
-  strict_mode_image_extraction: z.boolean().optional(),
-  strict_mode_image_ocr: z.boolean().optional(),
-  strict_mode_reconstruction: z.boolean().optional(),
-  strict_mode_buggy_font: z.boolean().optional(),
-  save_images: z.boolean().optional(),
-  ignore_document_elements_for_layout_detection: z.boolean().optional(),
-  output_tables_as_HTML: z.boolean().optional(),
-  use_vendor_multimodal_model: z.boolean().optional(),
-  bounding_box: z.string().optional(),
-  gpt4o_mode: z.boolean().optional(),
-  gpt4o_api_key: z.string().optional(),
-  complemental_formatting_instruction: z.string().optional(),
-  content_guideline_instruction: z.string().optional(),
-  premium_mode: z.boolean().optional(),
-  is_formatting_instruction: z.boolean().optional(),
-  continuous_mode: z.boolean().optional(),
-  parsing_instruction: z.string().optional(),
-  fast_mode: z.boolean().optional(),
-  formatting_instruction: z.string().optional(),
-  preset: parsePresetSchema.optional(),
-  compact_markdown_table: z.boolean().optional(),
-  markdown_table_multiline_header_separator: z.string().optional(),
-  page_error_tolerance: z.number().min(0).max(1).optional(),
-  replace_failed_page_mode: z.nativeEnum(FailPageMode).nullable().optional(),
-  replace_failed_page_with_error_message_prefix: z.string().optional(),
-  replace_failed_page_with_error_message_suffix: z.string().optional(),
-});
@@ -1,3 +0,0 @@
-export async function sleep(ms: number): Promise<void> {
-  return new Promise((resolve) => setTimeout(resolve, ms));
-}
@@ -1,23 +0,0 @@
-{
-  "extends": "../../tsconfig.json",
-  "compilerOptions": {
-    "rootDir": "./src",
-    "outDir": "./dist/type",
-    "tsBuildInfoFile": "./dist/.tsbuildinfo",
-    "emitDeclarationOnly": true,
-    "moduleResolution": "Bundler",
-    "skipLibCheck": true,
-    "strict": true,
-    "types": []
-  },
-  "include": ["./src"],
-  "exclude": ["node_modules"],
-  "references": [
-    {
-      "path": "../core/tsconfig.json"
-    },
-    {
-      "path": "../env/tsconfig.json"
-    }
-  ]
-}
@@ -1,9 +0,0 @@
-{
-  "$schema": "https://turbo.build/schema.json",
-  "extends": ["//"],
-  "tasks": {
-    "build": {
-      "outputs": ["**/dist/**", "src/client/**"]
-    }
-  }
-}
@@ -1,5 +1,12 @@
 # @llamaindex/community

+## 0.0.104
+
+### Patch Changes
+
+- Updated dependencies [06f884a]
+  - @llamaindex/core@0.6.22
+
 ## 0.0.103

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/community",
  "description": "Community package for LlamaIndexTS",
-  "version": "0.0.103",
+  "version": "0.0.104",
  "type": "module",
  "types": "dist/type/index.d.ts",
  "main": "dist/cjs/index.js",
@@ -1,5 +1,11 @@
 # @llamaindex/core

+## 0.6.22
+
+### Patch Changes
+
+- 06f884a: feat: return structured object from llm.exec
+
 ## 0.6.21

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/core",
  "type": "module",
-  "version": "0.6.21",
+  "version": "0.6.22",
  "description": "LlamaIndex Core Module",
  "exports": {
    "./agent": {
@@ -3,8 +3,17 @@ import type { JSONObject } from "../global";
 import { tool } from "../tools/";
 import { extractText } from "../utils/llms";
 import { streamConverter } from "../utils/stream";
-import { isZodSchema, safeParseSchema } from "../zod";
-import { callToolToMessage, getToolCallsFromResponse } from "./tool-call";
+import {
+  isZodSchema,
+  safeParseSchema,
+  type ZodInfer,
+  type ZodSchema,
+} from "../zod";
+import {
+  callToolToMessage,
+  getToolCallsFromResponse,
+  type CallToolToMessageResult,
+} from "./tool-call";
 import type {
  ChatMessage,
  ChatResponse,
@@ -22,6 +31,8 @@ import type {
  ToolCallLLMMessageOptions,
 } from "./type";

+const STRUCTURED_OUTPUT_TOOL_NAME = "format_output";
+
 export abstract class BaseLLM<
  AdditionalChatOptions extends object = object,
  AdditionalMessageOptions extends object = object,
@@ -77,33 +88,40 @@ export abstract class BaseLLM<
    >,
  ): Promise<ChatResponse<AdditionalMessageOptions>>;

-  exec(
+  exec<Z extends ZodSchema>(
    params: LLMChatParamsStreaming<
      AdditionalChatOptions,
-      AdditionalMessageOptions
+      AdditionalMessageOptions,
+      Z
    >,
-  ): Promise<ExecStreamResponse<AdditionalMessageOptions>>;
-  exec(
+  ): Promise<ExecStreamResponse<AdditionalMessageOptions, ZodInfer<Z>>>;
+  exec<Z extends ZodSchema>(
    params: LLMChatParamsNonStreaming<
      AdditionalChatOptions,
-      AdditionalMessageOptions
+      AdditionalMessageOptions,
+      Z
    >,
-  ): Promise<ExecResponse<AdditionalMessageOptions>>;
-  async exec(
+  ): Promise<ExecResponse<AdditionalMessageOptions, ZodInfer<Z>>>;
+  async exec<Z extends ZodSchema>(
    params:
-      | LLMChatParamsStreaming<AdditionalChatOptions, AdditionalMessageOptions>
+      | LLMChatParamsStreaming<
+          AdditionalChatOptions,
+          AdditionalMessageOptions,
+          Z
+        >
      | LLMChatParamsNonStreaming<
          AdditionalChatOptions,
-          AdditionalMessageOptions
+          AdditionalMessageOptions,
+          Z
        >,
  ): Promise<
-    | ExecResponse<AdditionalMessageOptions>
-    | ExecStreamResponse<AdditionalMessageOptions>
+    | ExecResponse<AdditionalMessageOptions, ZodInfer<Z>>
+    | ExecStreamResponse<AdditionalMessageOptions, ZodInfer<Z>>
  > {
    const responseFormat = params.responseFormat;
    if (typeof responseFormat != "undefined" && isZodSchema(responseFormat)) {
      const structuredTool = tool({
-        name: "format_output",
+        name: STRUCTURED_OUTPUT_TOOL_NAME,
        description: "Respond with a JSON object",
        parameters: responseFormat,
        execute: (args) => {
@@ -133,31 +151,40 @@ export abstract class BaseLLM<
    const response = await this.chat(params);
    newMessages.push(response.message);
    const toolCalls = getToolCallsFromResponse(response);
+
+    let structuredOutput: ZodInfer<Z> | undefined = undefined;
    if (params.tools && toolCalls.length > 0) {
      for (const toolCall of toolCalls) {
-        const toolResultMessage =
-          await callToolToMessage<AdditionalMessageOptions>(
-            params.tools,
-            toolCall,
-            logger,
-          );
+        const toolResultMessage = await callToolToMessage(
+          params.tools,
+          toolCall,
+          logger,
+        );
        if (toolResultMessage) {
-          newMessages.push(toolResultMessage);
+          newMessages.push(
+            toolResultMessage as ChatMessage<AdditionalMessageOptions>,
+          );
+        }
+        if (toolCall.name === STRUCTURED_OUTPUT_TOOL_NAME) {
+          structuredOutput = toolResultMessage?.options?.toolResult
+            ?.result as ZodInfer<Z>;
        }
      }
    }
    return {
      newMessages,
      toolCalls,
+      object: structuredOutput,
    };
  }

-  async streamExec(
+  async streamExec<Z extends ZodSchema>(
    params: LLMChatParamsStreaming<
      AdditionalChatOptions,
-      AdditionalMessageOptions
+      AdditionalMessageOptions,
+      Z
    >,
-  ): Promise<ExecStreamResponse<AdditionalMessageOptions>> {
+  ): Promise<ExecStreamResponse<AdditionalMessageOptions, ZodInfer<Z>>> {
    const logger = params.logger ?? emptyLogger;
    const responseStream = await this.chat(params);
    const iterator = responseStream[Symbol.asyncIterator]();
@@ -170,6 +197,16 @@ export abstract class BaseLLM<
      firstChunk?.options && "toolCall" in firstChunk.options;

    if (!hasToolCallsInFirst) {
+      // extract structured output from the last message
+      const lastMessage = params.messages[params.messages.length - 1];
+      const toolResult = (
+        lastMessage?.options as { toolResult: CallToolToMessageResult }
+      )?.toolResult;
+      const structuredOutput =
+        toolResult?.name === STRUCTURED_OUTPUT_TOOL_NAME
+          ? (toolResult.result as ZodInfer<Z>)
+          : undefined;
+
      let content = firstChunk?.delta ?? "";
      let finished = false;
      return {
@@ -201,6 +238,7 @@ export abstract class BaseLLM<
              ]
            : [];
        },
+        object: structuredOutput,
      };
    }
    // Helper function to process a chunk
@@ -252,15 +290,21 @@ export abstract class BaseLLM<
          toolCall: toolCalls,
        } as AdditionalMessageOptions,
      });
+      let structuredOutput: ZodInfer<Z> | undefined = undefined;
      for (const toolCall of toolCalls) {
-        const toolResultMessage =
-          await callToolToMessage<AdditionalMessageOptions>(
-            params.tools,
-            toolCall,
-            logger,
-          );
+        const toolResultMessage = await callToolToMessage(
+          params.tools,
+          toolCall,
+          logger,
+        );
        if (toolResultMessage) {
-          messages.push(toolResultMessage);
+          messages.push(
+            toolResultMessage as ChatMessage<AdditionalMessageOptions>,
+          );
+        }
+        if (toolCall.name === STRUCTURED_OUTPUT_TOOL_NAME) {
+          structuredOutput = toolResultMessage?.options?.toolResult
+            ?.result as ZodInfer<Z>;
        }
      }
      return {
@@ -269,6 +313,7 @@ export abstract class BaseLLM<
          return messages;
        },
        toolCalls,
+        object: structuredOutput,
      };
    } else {
      throw new Error("Cannot get tool calls from response");
@@ -8,6 +8,8 @@ import type {
  LLMCompletionParamsNonStreaming,
  LLMCompletionParamsStreaming,
  LLMMetadata,
+  ToolCall,
+  ToolCallLLMMessageOptions,
 } from "./type";

 export class MockLLM extends ToolCallLLM {
@@ -15,18 +17,29 @@ export class MockLLM extends ToolCallLLM {
  options: {
    timeBetweenToken: number;
    responseMessage: string;
+    mockToolCallResponse?: {
+      toolCalls: ToolCall[];
+      responseMessage?: string;
+    };
  };
-  supportToolCall: boolean = false;
+  supportToolCall: boolean = true;

  constructor(options?: {
    timeBetweenToken?: number;
    responseMessage?: string;
    metadata?: LLMMetadata;
+    mockToolCallResponse?: {
+      toolCalls: ToolCall[];
+      responseMessage?: string;
+    };
  }) {
    super();
    this.options = {
      timeBetweenToken: options?.timeBetweenToken ?? 20,
      responseMessage: options?.responseMessage ?? "This is a mock response",
+      ...(options?.mockToolCallResponse && {
+        mockToolCallResponse: options.mockToolCallResponse,
+      }),
    };
    this.metadata = options?.metadata ?? {
      model: "MockLLM",
@@ -34,7 +47,7 @@ export class MockLLM extends ToolCallLLM {
      topP: 0.5,
      contextWindow: 1024,
      tokenizer: undefined,
-      structuredOutput: false,
+      structuredOutput: true,
    };
  }

@@ -51,14 +64,46 @@ export class MockLLM extends ToolCallLLM {
  ): Promise<AsyncIterable<ChatResponseChunk> | ChatResponse<object>> {
    const responseMessage = this.options.responseMessage;
    const timeBetweenToken = this.options.timeBetweenToken;
+    const mockToolCallResponse = this.options.mockToolCallResponse;
+
+    // Check if we have tools and should simulate tool calls
+    const shouldSimulateToolCalls = params.tools && mockToolCallResponse;

    if (params.stream) {
-      return (async function* () {
-        for (const char of responseMessage) {
-          yield { delta: char, raw: {} };
-          await new Promise((resolve) => setTimeout(resolve, timeBetweenToken));
-        }
-      })();
+      if (shouldSimulateToolCalls) {
+        return (async function* () {
+          // First yield the tool call
+          yield {
+            delta: "",
+            raw: {},
+            options: {
+              toolCall: mockToolCallResponse.toolCalls,
+            } as ToolCallLLMMessageOptions,
+          };
+        })();
+      } else {
+        return (async function* () {
+          for (const char of responseMessage) {
+            yield { delta: char, raw: {} };
+            await new Promise((resolve) =>
+              setTimeout(resolve, timeBetweenToken),
+            );
+          }
+        })();
+      }
+    }
+
+    if (shouldSimulateToolCalls) {
+      return {
+        message: {
+          content: mockToolCallResponse.responseMessage || "",
+          role: "assistant",
+          options: {
+            toolCall: mockToolCallResponse.toolCalls,
+          } as ToolCallLLMMessageOptions,
+        },
+        raw: {},
+      };
    }

    return {
@@ -1,5 +1,6 @@
 import { type Logger } from "@llamaindex/env";
 import { callTool } from "../agent/utils.js";
+import type { JSONValue } from "../global";
 import { stringifyJSONToMessageContent } from "../utils";
 import type {
  BaseTool,
@@ -37,28 +38,30 @@ export const getToolCallsFromResponse = (
  return [];
 };

-export const callToolToMessage = async <
-  AdditionalMessageOptions extends object = object,
->(
+export type CallToolToMessageResult = {
+  id: string;
+  name: string;
+  result: JSONValue;
+  isError: boolean;
+};
+
+export const callToolToMessage = async (
  tools: BaseTool[],
  toolCall: ToolCall,
  logger: Logger,
-): Promise<ChatMessage<AdditionalMessageOptions> | null> => {
+): Promise<ChatMessage<{ toolResult: CallToolToMessageResult }>> => {
  const tool = tools?.find((t) => t.metadata.name === toolCall.name);
-
  const toolOutput = await callTool(tool, toolCall, logger);
-
-  const toolResultMessage: ChatMessage<AdditionalMessageOptions> = {
+  return {
    role: "user",
    content: stringifyJSONToMessageContent(toolOutput.output),
    options: {
      toolResult: {
        id: toolCall.id,
+        name: toolCall.name,
        result: toolOutput.output,
        isError: toolOutput.isError,
      },
-    } as AdditionalMessageOptions,
+    },
  };
-
-  return toolResultMessage;
 };
@@ -99,18 +99,22 @@ export type ChatResponseChunk<

 export interface ExecResponse<
  AdditionalMessageOptions extends object = object,
+  O = JSONObject,
 > {
  newMessages: ChatMessage<AdditionalMessageOptions>[];
  toolCalls: ToolCall[];
+  object?: O | undefined;
 }

 export interface ExecStreamResponse<
  AdditionalMessageOptions extends object = object,
+  O = JSONObject,
 > {
  stream: AsyncIterable<ChatResponseChunk<AdditionalMessageOptions>>;
  // this is a function as while streaming, the assistant message is not ready yet - can be called after the stream is done
  newMessages(): ChatMessage<AdditionalMessageOptions>[];
  toolCalls: ToolCall[];
+  object?: O | undefined;
 }

 export interface CompletionResponse {
@@ -136,25 +140,36 @@ export type LLMMetadata = {
 export interface LLMChatParamsBase<
  AdditionalChatOptions extends object = object,
  AdditionalMessageOptions extends object = object,
+  Schema extends ZodSchema = ZodSchema,
 > {
  messages: ChatMessage<AdditionalMessageOptions>[];
  additionalChatOptions?: AdditionalChatOptions | undefined;
  tools?: BaseTool[] | undefined;
-  responseFormat?: ZodSchema | object | undefined;
+  responseFormat?: Schema | object | undefined;
  logger?: Logger | undefined;
 }

 export interface LLMChatParamsStreaming<
  AdditionalChatOptions extends object = object,
  AdditionalMessageOptions extends object = object,
-> extends LLMChatParamsBase<AdditionalChatOptions, AdditionalMessageOptions> {
+  Schema extends ZodSchema = ZodSchema,
+> extends LLMChatParamsBase<
+    AdditionalChatOptions,
+    AdditionalMessageOptions,
+    Schema
+  > {
  stream: true;
 }

 export interface LLMChatParamsNonStreaming<
  AdditionalChatOptions extends object = object,
  AdditionalMessageOptions extends object = object,
-> extends LLMChatParamsBase<AdditionalChatOptions, AdditionalMessageOptions> {
+  Schema extends ZodSchema = ZodSchema,
+> extends LLMChatParamsBase<
+    AdditionalChatOptions,
+    AdditionalMessageOptions,
+    Schema
+  > {
  stream?: false;
 }

@@ -1,7 +1,8 @@
 import { MockLLM } from "@llamaindex/core/llms/mock";
+import { tool } from "@llamaindex/core/tools";
 import { describe, expect, it } from "vitest";
+import { z } from "zod/v3";

-// TODO: add tests for tool calls
 describe("BaseLLM exec", () => {
  it("should stream text response when no tool call is made", async () => {
    const responseMessage = "This is a response message while streaming";
@@ -40,4 +41,89 @@ describe("BaseLLM exec", () => {
    ]);
    expect(toolCalls).toEqual([]);
  });
+
+  it("should handle tool calls with weather tool", async () => {
+    const weatherTool = tool({
+      name: "get_weather",
+      description: "Get the current weather for a location",
+      parameters: z.object({
+        address: z.string().describe("The address"),
+      }),
+      execute: ({ address }) => {
+        return `It's sunny in ${address}!`;
+      },
+    });
+
+    const mockToolCallInput = { address: "San Francisco" };
+    const expectedWeatherResult = "It's sunny in San Francisco!";
+
+    const llm = new MockLLM({
+      mockToolCallResponse: {
+        toolCalls: [
+          {
+            id: "weather-tool-call-id",
+            name: "get_weather",
+            input: mockToolCallInput,
+          },
+        ],
+        responseMessage: "",
+      },
+    });
+
+    const { newMessages, toolCalls } = await llm.exec({
+      messages: [
+        { content: "What's the weather in San Francisco?", role: "user" },
+      ],
+      tools: [weatherTool],
+    });
+
+    expect(toolCalls).toHaveLength(1);
+    expect(toolCalls[0]!.name).toBe("get_weather");
+    expect(toolCalls[0]!.input).toEqual(mockToolCallInput);
+    expect(newMessages).toHaveLength(2); // assistant message + tool result message
+
+    // Check that the tool was executed and result is in the tool result message
+    const toolResultMessage = newMessages[1];
+    expect(toolResultMessage!.content).toBe(expectedWeatherResult);
+    expect(toolResultMessage!.role).toBe("user");
+    expect(toolResultMessage!.options).toHaveProperty("toolResult");
+  });
+
+  it("should return structured output with responseFormat", async () => {
+    const schema = z.object({
+      title: z.string(),
+      author: z.string(),
+      year: z.number(),
+    });
+
+    const mockObject = {
+      title: "La Divina Commedia",
+      author: "Dante Alighieri",
+      year: 1321,
+    };
+
+    const llm = new MockLLM({
+      mockToolCallResponse: {
+        toolCalls: [
+          {
+            id: "test-tool-call-id",
+            name: "format_output",
+            input: mockObject,
+          },
+        ],
+        responseMessage: "",
+      },
+    });
+
+    const { newMessages, toolCalls, object } = await llm.exec({
+      messages: [{ content: "Extract book info", role: "user" }],
+      responseFormat: schema,
+    });
+
+    expect(toolCalls).toHaveLength(1);
+    expect(toolCalls[0]!.name).toBe("format_output");
+    expect(object).toBeDefined();
+    expect(object).toEqual(mockObject);
+    expect(newMessages).toHaveLength(2); // assistant message + tool result message
+  });
 });
@@ -1,5 +1,12 @@
 # @llamaindex/experimental

+## 0.0.207
+
+### Patch Changes
+
+- Updated dependencies [d493015]
+  - llamaindex@0.12.0
+
 ## 0.0.206

 ### Patch Changes
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/experimental",
  "description": "Experimental package for LlamaIndexTS",
-  "version": "0.0.206",
+  "version": "0.0.207",
  "type": "module",
  "types": "dist/type/index.d.ts",
  "main": "dist/cjs/index.js",
@@ -1,5 +1,19 @@
 # llamaindex

+## 0.12.0
+
+### Minor Changes
+
+- d493015: remove export cloud package from llamaindex
+
+### Patch Changes
+
+- Updated dependencies [06f884a]
+- Updated dependencies [06f884a]
+  - @llamaindex/core@0.6.22
+  - @llamaindex/workflow@1.1.24
+  - @llamaindex/node-parser@2.0.22
+
 ## 0.11.29

 ### Patch Changes
@@ -1,8 +0,0 @@
-{
-  "type": "module",
-  "main": "./dist/index.cjs",
-  "module": "./dist/index.js",
-  "types": "./dist/index.d.ts",
-  "exports": "./dist/index.js",
-  "private": true
-}
@@ -1,6 +1,6 @@
 {
  "name": "llamaindex",
-  "version": "0.11.29",
+  "version": "0.12.0",
  "license": "MIT",
  "type": "module",
  "keywords": [
@@ -20,7 +20,6 @@
    "llamaindex"
  ],
  "dependencies": {
-    "@llamaindex/cloud": "workspace:*",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/env": "workspace:*",
    "@llamaindex/node-parser": "workspace:*",
@@ -73,17 +72,6 @@
      },
      "default": "./agent/dist/index.js"
    },
-    "./cloud": {
-      "require": {
-        "types": "./cloud/dist/index.d.cts",
-        "default": "./cloud/dist/index.cjs"
-      },
-      "import": {
-        "types": "./cloud/dist/index.d.ts",
-        "default": "./cloud/dist/index.js"
-      },
-      "default": "./cloud/dist/index.js"
-    },
    "./engines": {
      "require": {
        "types": "./engines/dist/index.d.cts",
@@ -1,120 +0,0 @@
-import {
-  addFilesToPipelineApiApiV1PipelinesPipelineIdFilesPut,
-  getPipelineFileStatusApiV1PipelinesPipelineIdFilesFileIdStatusGet,
-  listPipelineFilesApiV1PipelinesPipelineIdFilesGet,
-  listProjectsApiV1ProjectsGet,
-  readFileContentApiV1FilesIdContentGet,
-  searchPipelinesApiV1PipelinesGet,
-  uploadFileApiV1FilesPost,
-} from "@llamaindex/cloud/api";
-import { initService } from "./utils.js";
-
-export class LLamaCloudFileService {
-  /**
-   * Get list of projects, each project contains a list of pipelines
-   */
-  public static async getAllProjectsWithPipelines() {
-    initService();
-    try {
-      const { data: projects } = await listProjectsApiV1ProjectsGet({
-        throwOnError: true,
-      });
-      const { data: pipelines } = await searchPipelinesApiV1PipelinesGet({
-        throwOnError: true,
-      });
-      return projects.map((project) => ({
-        ...project,
-        pipelines: pipelines.filter((p) => p.project_id === project.id),
-      }));
-    } catch (error) {
-      console.error("Error listing projects and pipelines:", error);
-      return [];
-    }
-  }
-
-  /**
-   * Upload a file to a pipeline in LlamaCloud
-   */
-  public static async addFileToPipeline(
-    projectId: string,
-    pipelineId: string,
-    uploadFile: File | Blob,
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    customMetadata: Record<string, any> = {},
-  ) {
-    initService();
-    const { data: file } = await uploadFileApiV1FilesPost({
-      query: { project_id: projectId },
-      body: {
-        upload_file: uploadFile,
-      },
-      throwOnError: true,
-    });
-    const files = [
-      {
-        file_id: file.id,
-        custom_metadata: { file_id: file.id, ...customMetadata },
-      },
-    ];
-    await addFilesToPipelineApiApiV1PipelinesPipelineIdFilesPut({
-      path: {
-        pipeline_id: pipelineId,
-      },
-      body: files,
-    });
-
-    // Wait 2s for the file to be processed
-    const maxAttempts = 20;
-    let attempt = 0;
-    while (attempt < maxAttempts) {
-      const { data: result } =
-        await getPipelineFileStatusApiV1PipelinesPipelineIdFilesFileIdStatusGet(
-          {
-            path: {
-              pipeline_id: pipelineId,
-              file_id: file.id,
-            },
-            throwOnError: true,
-          },
-        );
-      if (result.status === "ERROR") {
-        throw new Error(`File processing failed: ${JSON.stringify(result)}`);
-      }
-      if (result.status === "SUCCESS") {
-        // File is ingested - return the file id
-        return file.id;
-      }
-      attempt += 1;
-      await new Promise((resolve) => setTimeout(resolve, 100)); // Sleep for 100ms
-    }
-    throw new Error(
-      `File processing did not complete after ${maxAttempts} attempts. Check your LlamaCloud index at https://cloud.llamaindex.ai/project/${projectId}/deploy/${pipelineId} for more details.`,
-    );
-  }
-
-  /**
-   * Get download URL for a file in LlamaCloud
-   */
-  public static async getFileUrl(pipelineId: string, filename: string) {
-    initService();
-    const { data: allPipelineFiles } =
-      await listPipelineFilesApiV1PipelinesPipelineIdFilesGet({
-        path: {
-          pipeline_id: pipelineId,
-        },
-        throwOnError: true,
-      });
-    const file = allPipelineFiles.find((file) => file.name === filename);
-    if (!file?.file_id) return null;
-    const { data: fileContent } = await readFileContentApiV1FilesIdContentGet({
-      path: {
-        id: file.file_id,
-      },
-      query: {
-        project_id: file.project_id,
-      },
-      throwOnError: true,
-    });
-    return fileContent.url;
-  }
-}
@@ -1,414 +0,0 @@
-import type { BaseNodePostprocessor } from "@llamaindex/core/postprocessor";
-import type { BaseQueryEngine } from "@llamaindex/core/query-engine";
-import type { BaseSynthesizer } from "@llamaindex/core/response-synthesizers";
-import type { Document } from "@llamaindex/core/schema";
-import { RetrieverQueryEngine } from "../engines/query/RetrieverQueryEngine.js";
-import type { CloudRetrieveParams } from "./LlamaCloudRetriever.js";
-import { LlamaCloudRetriever } from "./LlamaCloudRetriever.js";
-import type { CloudConstructorParams } from "./type.js";
-import {
-  getAppBaseUrl,
-  getPipelineId,
-  getProjectId,
-  initService,
-} from "./utils.js";
-
-import {
-  createBatchPipelineDocumentsApiV1PipelinesPipelineIdDocumentsPost,
-  deletePipelineDocumentApiV1PipelinesPipelineIdDocumentsDocumentIdDelete,
-  getPipelineDocumentStatusApiV1PipelinesPipelineIdDocumentsDocumentIdStatusGet,
-  getPipelineStatusApiV1PipelinesPipelineIdStatusGet,
-  type PipelineCreateReadable,
-  searchPipelinesApiV1PipelinesGet,
-  upsertBatchPipelineDocumentsApiV1PipelinesPipelineIdDocumentsPut,
-  upsertPipelineApiV1PipelinesPut,
-} from "@llamaindex/cloud/api";
-import type { BaseRetriever } from "@llamaindex/core/retriever";
-import { getEnv } from "@llamaindex/env";
-import type { QueryToolParams } from "../indices/BaseIndex.js";
-import { Settings } from "../Settings.js";
-import { QueryEngineTool } from "../tools/QueryEngineTool.js";
-
-export class LlamaCloudIndex {
-  params: CloudConstructorParams;
-
-  constructor(params: CloudConstructorParams) {
-    this.params = params;
-    initService(this.params);
-  }
-
-  private async waitForPipelineIngestion(
-    verbose = Settings.debug,
-    raiseOnError = false,
-  ): Promise<void> {
-    const pipelineId = await this.getPipelineId();
-
-    if (verbose) {
-      console.log("Waiting for pipeline ingestion: ");
-    }
-
-    while (true) {
-      const { data: pipelineStatus } =
-        await getPipelineStatusApiV1PipelinesPipelineIdStatusGet({
-          path: {
-            pipeline_id: pipelineId,
-          },
-          throwOnError: true,
-        });
-
-      if (pipelineStatus.status === "SUCCESS") {
-        if (verbose) {
-          console.log("Pipeline ingestion completed successfully");
-        }
-        break;
-      }
-
-      if (pipelineStatus.status === "ERROR") {
-        if (verbose) {
-          console.error("Pipeline ingestion failed");
-        }
-
-        if (raiseOnError) {
-          throw new Error("Pipeline ingestion failed");
-        }
-      }
-
-      if (verbose) {
-        process.stdout.write(".");
-      }
-
-      await new Promise((resolve) => setTimeout(resolve, 1000));
-    }
-  }
-
-  private async waitForDocumentIngestion(
-    docIds: string[],
-    verbose = Settings.debug,
-    raiseOnError = false,
-  ): Promise<void> {
-    const pipelineId = await this.getPipelineId();
-
-    if (verbose) {
-      console.log("Loading data: ");
-    }
-
-    const pendingDocs = new Set(docIds);
-
-    while (pendingDocs.size) {
-      const docsToRemove = new Set<string>();
-
-      for (const doc of pendingDocs) {
-        const {
-          data: { status },
-        } =
-          await getPipelineDocumentStatusApiV1PipelinesPipelineIdDocumentsDocumentIdStatusGet(
-            {
-              path: { pipeline_id: pipelineId, document_id: doc },
-              throwOnError: true,
-            },
-          );
-
-        if (status === "NOT_STARTED" || status === "IN_PROGRESS") {
-          continue;
-        }
-
-        if (status === "ERROR") {
-          if (verbose) {
-            console.error(`Document ingestion failed for ${doc}`);
-          }
-
-          if (raiseOnError) {
-            throw new Error(`Document ingestion failed for ${doc}`);
-          }
-        }
-
-        docsToRemove.add(doc);
-      }
-
-      for (const doc of docsToRemove) {
-        pendingDocs.delete(doc);
-      }
-
-      if (pendingDocs.size) {
-        if (verbose) {
-          process.stdout.write(".");
-        }
-
-        await new Promise((resolve) => setTimeout(resolve, 500));
-      }
-    }
-
-    if (verbose) {
-      console.log("Done!");
-    }
-
-    await this.waitForPipelineIngestion(verbose, raiseOnError);
-  }
-
-  public async getPipelineId(
-    name?: string,
-    projectName?: string,
-    organizationId?: string,
-  ): Promise<string> {
-    return await getPipelineId(
-      name ?? this.params.name,
-      projectName ?? this.params.projectName,
-      organizationId ?? this.params.organizationId,
-    );
-  }
-
-  public async getProjectId(
-    projectName?: string,
-    organizationId?: string,
-  ): Promise<string> {
-    return await getProjectId(
-      projectName ?? this.params.projectName,
-      organizationId ?? this.params.organizationId,
-    );
-  }
-
-  /**
-   * Adds documents to the given index parameters. If the index does not exist, it will be created.
-   *
-   * @param params - An object containing the following properties:
-   *   - documents: An array of Document objects to be added to the index.
-   *   - verbose: Optional boolean to enable verbose logging.
-   *   - Additional properties from CloudConstructorParams.
-   * @returns A Promise that resolves to a new LlamaCloudIndex instance.
-   */
-  static async fromDocuments(
-    params: {
-      documents: Document[];
-      verbose?: boolean;
-    } & CloudConstructorParams,
-    config?: {
-      embedding: PipelineCreateReadable["embedding_config"];
-      transform: PipelineCreateReadable["transform_config"];
-    },
-  ): Promise<LlamaCloudIndex> {
-    const index = new LlamaCloudIndex({ ...params });
-    await index.ensureIndex({ ...config, verbose: params.verbose ?? false });
-    await index.addDocuments(params.documents, params.verbose);
-    return index;
-  }
-
-  async addDocuments(documents: Document[], verbose?: boolean): Promise<void> {
-    const apiUrl = getAppBaseUrl();
-    const projectId = await this.getProjectId();
-    const pipelineId = await this.getPipelineId();
-
-    await upsertBatchPipelineDocumentsApiV1PipelinesPipelineIdDocumentsPut({
-      path: {
-        pipeline_id: pipelineId,
-      },
-      body: documents.map((doc) => ({
-        metadata: doc.metadata,
-        text: doc.text,
-        excluded_embed_metadata_keys: doc.excludedEmbedMetadataKeys,
-        excluded_llm_metadata_keys: doc.excludedEmbedMetadataKeys,
-        id: doc.id_,
-      })),
-    });
-
-    while (true) {
-      const { data: pipelineStatus } =
-        await getPipelineStatusApiV1PipelinesPipelineIdStatusGet({
-          path: { pipeline_id: pipelineId },
-          throwOnError: true,
-        });
-
-      if (pipelineStatus.status === "SUCCESS") {
-        console.info(
-          "Documents ingested successfully, pipeline is ready to use",
-        );
-        break;
-      }
-
-      if (pipelineStatus.status === "ERROR") {
-        console.error(
-          `Some documents failed to ingest, check your pipeline logs at ${apiUrl}/project/${projectId}/deploy/${pipelineId}`,
-        );
-        throw new Error("Some documents failed to ingest");
-      }
-
-      if (pipelineStatus.status === "PARTIAL_SUCCESS") {
-        console.info(
-          `Documents ingestion partially succeeded, to check a more complete status check your pipeline at ${apiUrl}/project/${projectId}/deploy/${pipelineId}`,
-        );
-        break;
-      }
-
-      if (verbose) {
-        process.stdout.write(".");
-      }
-
-      await new Promise((resolve) => setTimeout(resolve, 1000));
-    }
-
-    if (verbose) {
-      console.info(
-        `Ingestion completed, find your index at ${apiUrl}/project/${projectId}/deploy/${pipelineId}`,
-      );
-    }
-  }
-
-  asRetriever(params: CloudRetrieveParams = {}): BaseRetriever {
-    return new LlamaCloudRetriever({ ...this.params, ...params });
-  }
-
-  asQueryEngine(
-    params?: {
-      responseSynthesizer?: BaseSynthesizer;
-      preFilters?: unknown;
-      nodePostprocessors?: BaseNodePostprocessor[];
-    } & CloudRetrieveParams,
-  ): BaseQueryEngine {
-    const retriever = new LlamaCloudRetriever({
-      ...this.params,
-      ...params,
-    });
-    return new RetrieverQueryEngine(
-      retriever,
-      params?.responseSynthesizer,
-      params?.nodePostprocessors,
-    );
-  }
-
-  asQueryTool(params: QueryToolParams): QueryEngineTool {
-    if (params.options) {
-      params.retriever = this.asRetriever(params.options);
-    }
-
-    return new QueryEngineTool({
-      queryEngine: this.asQueryEngine(params),
-      metadata: params?.metadata,
-      includeSourceNodes: params?.includeSourceNodes ?? false,
-    });
-  }
-
-  queryTool(params: QueryToolParams): QueryEngineTool {
-    return this.asQueryTool(params);
-  }
-
-  async insert(document: Document) {
-    const pipelineId = await this.getPipelineId();
-
-    await createBatchPipelineDocumentsApiV1PipelinesPipelineIdDocumentsPost({
-      path: {
-        pipeline_id: pipelineId,
-      },
-      body: [
-        {
-          metadata: document.metadata,
-          text: document.text,
-          excluded_embed_metadata_keys: document.excludedLlmMetadataKeys,
-          excluded_llm_metadata_keys: document.excludedEmbedMetadataKeys,
-          id: document.id_,
-        },
-      ],
-    });
-
-    await this.waitForDocumentIngestion([document.id_]);
-  }
-
-  async delete(document: Document) {
-    const pipelineId = await this.getPipelineId();
-
-    await deletePipelineDocumentApiV1PipelinesPipelineIdDocumentsDocumentIdDelete(
-      {
-        path: {
-          pipeline_id: pipelineId,
-          document_id: document.id_,
-        },
-      },
-    );
-
-    await this.waitForPipelineIngestion();
-  }
-
-  async refreshDoc(document: Document) {
-    const pipelineId = await this.getPipelineId();
-
-    await upsertBatchPipelineDocumentsApiV1PipelinesPipelineIdDocumentsPut({
-      path: {
-        pipeline_id: pipelineId,
-      },
-      body: [
-        {
-          metadata: document.metadata,
-          text: document.text,
-          excluded_embed_metadata_keys: document.excludedLlmMetadataKeys,
-          excluded_llm_metadata_keys: document.excludedEmbedMetadataKeys,
-          id: document.id_,
-        },
-      ],
-    });
-
-    await this.waitForDocumentIngestion([document.id_]);
-  }
-
-  public async ensureIndex(config?: {
-    embedding?: PipelineCreateReadable["embedding_config"];
-    transform?: PipelineCreateReadable["transform_config"];
-    verbose?: boolean;
-  }): Promise<void> {
-    const projectId = await this.getProjectId();
-
-    const { data: pipelines } = await searchPipelinesApiV1PipelinesGet({
-      query: {
-        project_id: projectId,
-        pipeline_name: this.params.name,
-      },
-      throwOnError: true,
-    });
-
-    if (pipelines.length === 0) {
-      // no pipeline found, create a new one
-      let embeddingConfig = config?.embedding;
-      if (!embeddingConfig) {
-        // no embedding config provided, use OpenAI as default
-        const openAIApiKey = getEnv("OPENAI_API_KEY");
-        const embeddingModel = getEnv("EMBEDDING_MODEL");
-        if (!openAIApiKey || !embeddingModel) {
-          throw new Error(
-            "No embedding configuration provided. Fallback to OpenAI embedding model. OPENAI_API_KEY and EMBEDDING_MODEL environment variables must be set.",
-          );
-        }
-        embeddingConfig = {
-          type: "OPENAI_EMBEDDING",
-          component: {
-            api_key: openAIApiKey,
-            model_name: embeddingModel,
-          },
-        };
-      }
-
-      let transformConfig = config?.transform;
-      if (!transformConfig) {
-        transformConfig = {
-          mode: "auto",
-          chunk_size: 1024,
-          chunk_overlap: 200,
-        };
-      }
-
-      const { data: pipeline } = await upsertPipelineApiV1PipelinesPut({
-        query: {
-          project_id: projectId,
-        },
-        body: {
-          name: this.params.name,
-          embedding_config: embeddingConfig,
-          transform_config: transformConfig,
-        },
-        throwOnError: true,
-      });
-
-      if (config?.verbose) {
-        console.log(
-          `Created pipeline ${pipeline.id} with name ${pipeline.name}`,
-        );
-      }
-    }
-  }
-}
@@ -1,103 +0,0 @@
-import {
-  type MetadataFilter,
-  type MetadataFilters,
-  type RetrievalParams,
-  runSearchApiV1PipelinesPipelineIdRetrievePost,
-  type TextNodeWithScore,
-} from "@llamaindex/cloud/api";
-import { DEFAULT_PROJECT_NAME } from "@llamaindex/core/global";
-import type { QueryBundle } from "@llamaindex/core/query-engine";
-import { BaseRetriever } from "@llamaindex/core/retriever";
-import type { NodeWithScore } from "@llamaindex/core/schema";
-import { jsonToNode, ObjectType } from "@llamaindex/core/schema";
-import { extractText } from "@llamaindex/core/utils";
-import type { ClientParams, CloudConstructorParams } from "./type.js";
-import { getPipelineId, initService } from "./utils.js";
-
-export type CloudRetrieveParams = Omit<
-  RetrievalParams,
-  "query" | "search_filters" | "dense_similarity_top_k"
-> & { similarityTopK?: number; filters?: MetadataFilters };
-
-export class LlamaCloudRetriever extends BaseRetriever {
-  clientParams: ClientParams;
-  retrieveParams: CloudRetrieveParams;
-  organizationId?: string;
-  projectName: string = DEFAULT_PROJECT_NAME;
-  pipelineName: string;
-
-  private resultNodesToNodeWithScore(
-    nodes: TextNodeWithScore[],
-  ): NodeWithScore[] {
-    return nodes.map((node: TextNodeWithScore) => {
-      const textNode = jsonToNode(node.node, ObjectType.TEXT);
-      textNode.metadata = {
-        ...textNode.metadata,
-        ...node.node.extra_info, // append LlamaCloud extra_info to node metadata (file_name, pipeline_id, etc.)
-      };
-      return {
-        // Currently LlamaCloud only supports text nodes
-        node: textNode,
-        score: node.score ?? undefined,
-      };
-    });
-  }
-
-  // LlamaCloud expects null values for filters, but LlamaIndexTS uses undefined for empty values
-  // This function converts the undefined values to null
-  private convertFilter(filters?: MetadataFilters): MetadataFilters | null {
-    if (!filters) return null;
-
-    const processFilter = (
-      filter: MetadataFilter | MetadataFilters,
-    ): MetadataFilter | MetadataFilters => {
-      if ("filters" in filter) {
-        // type MetadataFilters
-        return { ...filter, filters: filter.filters.map(processFilter) };
-      }
-      return { ...filter, value: filter.value ?? null };
-    };
-
-    return { ...filters, filters: filters.filters.map(processFilter) };
-  }
-
-  constructor(params: CloudConstructorParams & CloudRetrieveParams) {
-    super();
-    this.clientParams = { apiKey: params.apiKey, baseUrl: params.baseUrl };
-    initService(this.clientParams);
-    this.retrieveParams = params;
-    this.pipelineName = params.name;
-    if (params.projectName) {
-      this.projectName = params.projectName;
-    }
-    if (params.organizationId) {
-      this.organizationId = params.organizationId;
-    }
-  }
-
-  async _retrieve(query: QueryBundle): Promise<NodeWithScore[]> {
-    const pipelineId = await getPipelineId(
-      this.pipelineName,
-      this.projectName,
-      this.organizationId,
-    );
-
-    const filters = this.convertFilter(this.retrieveParams.filters);
-
-    const { data: results } =
-      await runSearchApiV1PipelinesPipelineIdRetrievePost({
-        throwOnError: true,
-        path: {
-          pipeline_id: pipelineId,
-        },
-        body: {
-          ...this.retrieveParams,
-          query: extractText(query),
-          search_filters: filters,
-          dense_similarity_top_k: this.retrieveParams.similarityTopK!,
-        },
-      });
-
-    return this.resultNodesToNodeWithScore(results.retrieval_nodes);
-  }
-}
@@ -1,13 +0,0 @@
-console.warn(`
-The classes LlamaCloudFileService, LlamaCloudIndex and LlamaCloudRetriever have been moved to the package llama-cloud-services.
- * Please migrate your imports to llama-cloud-services, e.g. import { LlamaCloudIndex } from "llama-cloud-services";
- * See the documentation: https://docs.cloud.llamaindex.ai
-`);
-
-export { LLamaCloudFileService } from "./LLamaCloudFileService.js";
-export { LlamaCloudIndex } from "./LlamaCloudIndex.js";
-export {
-  LlamaCloudRetriever,
-  type CloudRetrieveParams,
-} from "./LlamaCloudRetriever.js";
-export type { CloudConstructorParams } from "./type.js";
@@ -1,10 +0,0 @@
-export type ClientParams = {
-  apiKey?: string | undefined;
-  baseUrl?: string | undefined;
-};
-
-export type CloudConstructorParams = {
-  name: string;
-  projectName: string;
-  organizationId?: string | undefined;
-} & ClientParams;
@@ -1,97 +0,0 @@
-import {
-  client,
-  listProjectsApiV1ProjectsGet,
-  searchPipelinesApiV1PipelinesGet,
-} from "@llamaindex/cloud/api";
-import { DEFAULT_BASE_URL } from "@llamaindex/core/global";
-import { getEnv } from "@llamaindex/env";
-import type { ClientParams } from "./type.js";
-
-function getBaseUrl(baseUrl?: string): string {
-  return baseUrl ?? getEnv("LLAMA_CLOUD_BASE_URL") ?? DEFAULT_BASE_URL;
-}
-
-export function getAppBaseUrl(): string {
-  return client.getConfig().baseUrl?.replace(/api\./, "") ?? "";
-}
-
-// fixme: refactor this to init at the top level or module level
-let initOnce = false;
-export function initService({ apiKey, baseUrl }: ClientParams = {}) {
-  if (initOnce) {
-    return;
-  }
-  initOnce = true;
-  client.setConfig({
-    baseUrl: getBaseUrl(baseUrl),
-    throwOnError: true,
-  });
-  const token = apiKey ?? getEnv("LLAMA_CLOUD_API_KEY");
-  client.interceptors.request.use((request) => {
-    request.headers.set("Authorization", `Bearer ${token}`);
-    return request;
-  });
-  client.interceptors.error.use((error) => {
-    throw new Error(
-      `LlamaCloud API request failed. Error details: ${JSON.stringify(error)}`,
-    );
-  });
-  if (!token) {
-    throw new Error(
-      "API Key is required for LlamaCloudIndex. Please pass the apiKey parameter",
-    );
-  }
-}
-
-export async function getProjectId(
-  projectName: string,
-  organizationId?: string,
-): Promise<string> {
-  const { data: projects } = await listProjectsApiV1ProjectsGet({
-    query: {
-      project_name: projectName,
-      organization_id: organizationId ?? null,
-    },
-    throwOnError: true,
-  });
-
-  if (projects.length === 0) {
-    throw new Error(
-      `Unknown project name ${projectName}. Please confirm a managed project with this name exists.`,
-    );
-  } else if (projects.length > 1) {
-    throw new Error(
-      `Multiple projects found with name ${projectName}. Please specify organization_id.`,
-    );
-  }
-
-  const project = projects[0]!;
-
-  if (!project.id) {
-    throw new Error(`No project found with name ${projectName}`);
-  }
-
-  return project.id;
-}
-
-export async function getPipelineId(
-  name: string,
-  projectName: string,
-  organizationId?: string,
-): Promise<string> {
-  const { data: pipelines } = await searchPipelinesApiV1PipelinesGet({
-    query: {
-      project_id: await getProjectId(projectName, organizationId),
-      pipeline_name: name,
-    },
-    throwOnError: true,
-  });
-
-  if (pipelines.length === 0 || !pipelines[0]!.id) {
-    throw new Error(
-      `No pipeline found with name ${name} in project ${projectName}`,
-    );
-  }
-
-  return pipelines[0]!.id;
-}
@@ -3,11 +3,6 @@ import { Settings } from "./Settings.js";

 //#endregion

-export {
-  LlamaParseReader,
-  type Language,
-  type ResultType,
-} from "@llamaindex/cloud/reader";
 export * from "@llamaindex/core/agent";
 export * from "@llamaindex/core/chat-engine";
 export * from "@llamaindex/core/data-structs";
@@ -57,7 +52,6 @@ export * from "@llamaindex/core/storage/index-store";
 export * from "@llamaindex/core/storage/kv-store";
 export * from "@llamaindex/core/utils";
 export * from "./agent/index.js";
-export * from "./cloud/index.js";
 export * from "./engines/index.js";
 export * from "./evaluation/index.js";
 export * from "./extractors/index.js";
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
github-actions[bot]	19e5c318a0	Release 0.12.0 (#2204 ) Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: marcusschiesser <17126+marcusschiesser@users.noreply.github.com>	2025-09-15 12:28:24 +08:00
Marcus Schiesser	d49301555f	chore: replace cloud package with llama-cloud-services (#2145 ) Co-authored-by: Thuc Pham <thuc@lingble.com>	2025-09-15 12:09:17 +08:00
dependabot[bot]	f648bb7b90	chore(deps): bump hono from 4.7.7 to 4.9.7 (#2203 ) Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-09-15 10:52:50 +08:00
Thuc Pham	06f884a437	feat: return structured object from llm.exec (#2198 )	2025-09-15 10:51:06 +08:00
dependabot[bot]	9e66861d07	chore(deps): bump vite from 5.4.19 to 6.3.6 (#2199 ) Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-09-12 10:32:22 +08:00
Marcus Schiesser	ae74f70d7d	chore: update @llamaindex/workflow-docs (#2197 )	2025-09-11 15:47:46 +08:00