chore: remove re-exporting packages in llamaindex (#1624)

Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>
2026-08-26 12:24:44 -04:00 · 2025-02-12 12:44:52 +07:00
parent 1564831158
commit 6a4a73760b
83 changed files with 4632 additions and 6989 deletions
@@ -0,0 +1,16 @@
+---
+"@llamaindex/milvus": minor
+"@llamaindex/qdrant": minor
+"@llamaindex/next-node-runtime-test": minor
+"@llamaindex/azure": minor
+"@llamaindex/cloudflare-hono": minor
+"@llamaindex/anthropic": minor
+"@llamaindex/llamaindex-test": minor
+"llamaindex": minor
+"@llamaindex/core": minor
+"@llamaindex/doc": minor
+"@llamaindex/examples": minor
+"@llamaindex/e2e": minor
+---
+
+Remove re-exports from llamaindex main package
@@ -83,11 +83,6 @@ jobs:
        run: pnpm install
      - name: Build
        run: pnpm run build
-      - name: Use Build For Examples
-        run: |
-          pnpm link ../packages/llamaindex/
-          cd readers && pnpm link ../../packages/llamaindex/
-        working-directory: ./examples
      - name: Run Type Check
        run: pnpm run type-check
      - name: Run Circular Dependency Check
@@ -1,3 +1 @@
-pnpm format
-pnpm lint
-npx lint-staged
+pnpm run lint-staged
@@ -14,5 +14,6 @@
  "[json]": {
    "editor.defaultFormatter": "esbenp.prettier-vscode"
  },
-  "prettier.prettierPath": "./node_modules/prettier"
+  "prettier.prettierPath": "./node_modules/prettier",
+  "prettier.configPath": "prettier.config.mjs"
 }
@@ -57,4 +57,3 @@ In this example, the Context-Aware Agent uses the retriever to fetch relevant co
 ## Available Context-Aware Agents

 - `OpenAIContextAwareAgent`: A context-aware agent using OpenAI's models.
- `AnthropicContextAwareAgent`: A context-aware agent using Anthropic's models.
@@ -17,22 +17,20 @@ app.post("/llm", async (c) => {

  const { message } = await c.req.json();

-  const { extractText } = await import("@llamaindex/core/utils");
-
  const {
+    extractText,
    QueryEngineTool,
    serviceContextFromDefaults,
    VectorStoreIndex,
-    OpenAIAgent,
    Settings,
-    OpenAI,
-    OpenAIEmbedding,
  } = await import("llamaindex");

-  const { PineconeVectorStore } = await import(
-    "llamaindex/vector-store/PineconeVectorStore"
+  const { OpenAIAgent, OpenAI, OpenAIEmbedding } = await import(
+    "@llamaindex/openai"
  );

+  const { PineconeVectorStore } = await import("@llamaindex/pinecone");
+
  const llm = new OpenAI({
    model: "gpt-4o-mini",
    apiKey: c.env.OPENAI_API_KEY,
@@ -9,6 +9,7 @@
  },
  "dependencies": {
    "llamaindex": "workspace:*",
+    "@llamaindex/huggingface": "workspace:*",
    "next": "15.0.3",
    "react": "18.3.1",
    "react-dom": "18.3.1"
@@ -1,4 +1,5 @@
 "use server";
+import { HuggingFaceEmbedding } from "@llamaindex/huggingface";
 import {
  OpenAI,
  OpenAIAgent,
@@ -7,7 +8,6 @@ import {
  SimpleDirectoryReader,
  VectorStoreIndex,
 } from "llamaindex";
-import { HuggingFaceEmbedding } from "llamaindex/embeddings/HuggingFaceEmbedding";

 Settings.llm = new OpenAI({
  apiKey: process.env.NEXT_PUBLIC_OPENAI_KEY ?? "FAKE_KEY_TO_PASS_TESTS",
@@ -1,7 +1,7 @@
+import { Anthropic, AnthropicAgent } from "@llamaindex/anthropic";
 import { extractText } from "@llamaindex/core/utils";
 import { consola } from "consola";
-import { Anthropic, FunctionTool, Settings, type LLM } from "llamaindex";
-import { AnthropicAgent } from "llamaindex/agent/anthropic";
+import { FunctionTool, Settings, type LLM } from "llamaindex";
 import { ok } from "node:assert";
 import { beforeEach, test } from "node:test";
 import { getWeatherTool, sumNumbersTool } from "./fixtures/tools.js";
@@ -1,6 +1,7 @@
+import { ClipEmbedding } from "@llamaindex/clip";
 import type { LoadTransformerEvent } from "@llamaindex/env/multi-model";
 import { setTransformers } from "@llamaindex/env/multi-model";
-import { ClipEmbedding, ImageNode, Settings } from "llamaindex";
+import { ImageNode, Settings } from "llamaindex";
 import assert from "node:assert";
 import { type Mock, test } from "node:test";

@@ -1,6 +1,6 @@
+import { PGVectorStore } from "@llamaindex/postgres";
 import { config } from "dotenv";
 import { Document, VectorStoreQueryMode } from "llamaindex";
-import { PGVectorStore } from "llamaindex/vector-store/PGVectorStore";
 import assert from "node:assert";
 import { test } from "node:test";
 import pg from "pg";
@@ -1,10 +1,8 @@
 import { Document, MetadataMode } from "@llamaindex/core/schema";
+import { OpenAIEmbedding } from "@llamaindex/openai";
+import { PineconeVectorStore } from "@llamaindex/pinecone";
 import { config } from "dotenv";
-import {
-  OpenAIEmbedding,
-  PineconeVectorStore,
-  VectorStoreIndex,
-} from "llamaindex";
+import { VectorStoreIndex } from "llamaindex";
 import assert from "node:assert";
 import { test } from "node:test";

@@ -14,6 +14,10 @@
    "@llamaindex/env": "workspace:*",
    "@llamaindex/ollama": "workspace:*",
    "@llamaindex/openai": "workspace:*",
+    "@llamaindex/pinecone": "workspace:*",
+    "@llamaindex/postgres": "workspace:*",
+    "@llamaindex/clip": "workspace:*",
+    "@llamaindex/anthropic": "workspace:*",
    "@types/node": "^22.9.0",
    "@types/pg": "^8.11.8",
    "@huggingface/transformers": "^3.0.2",
@@ -1,17 +1,16 @@
-import { storageContextFromDefaults } from "llamaindex";
+import { ClipEmbedding } from "@llamaindex/clip";
+import { path } from "@llamaindex/env";
+import { SimpleVectorStore, storageContextFromDefaults } from "llamaindex";

 // set up store context with two vector stores, one for text, the other for images
 export async function getStorageContext() {
  return await storageContextFromDefaults({
    persistDir: "storage",
-    storeImages: true,
-    // if storeImages is true, the following vector store will be added
-    // vectorStores: {
-    //   IMAGE: SimpleVectorStore.fromPersistDir(
-    //     `${persistDir}/images`,
-    //     fs,
-    //     new ClipEmbedding(),
-    //   ),
-    // },
+    vectorStores: {
+      IMAGE: await SimpleVectorStore.fromPersistDir(
+        path.join("storage", "images"),
+        new ClipEmbedding(),
+      ),
+    },
  });
 }
@@ -1,5 +1,4 @@
-import { OllamaEmbedding } from "@llamaindex/ollama";
-import { Ollama } from "llamaindex/llm/ollama";
+import { Ollama, OllamaEmbedding } from "@llamaindex/ollama";

 (async () => {
  const llm = new Ollama({
@@ -1,63 +1,64 @@
 {
  "name": "@llamaindex/examples",
-  "private": true,
  "version": "0.1.3",
+  "private": true,
+  "scripts": {
+    "lint": "eslint .",
+    "start": "tsx ./starter.ts"
+  },
  "dependencies": {
    "@ai-sdk/openai": "^1.0.5",
    "@azure/cosmos": "^4.1.1",
    "@azure/identity": "^4.4.1",
    "@azure/search-documents": "^12.1.0",
-    "@llamaindex/vercel": "^0.0.10",
-    "@llamaindex/workflow": "^0.0.10",
+    "@llamaindex/anthropic": "workspace:* || ^0.0.33",
+    "@llamaindex/astra": "workspace:* || ^0.0.4",
+    "@llamaindex/azure": "workspace:* || ^0.0.4",
+    "@llamaindex/chroma": "workspace:* || ^0.0.4",
+    "@llamaindex/clip": "workspace:* || ^0.0.35",
+    "@llamaindex/cloud": "workspace:* || ^2.0.24",
+    "@llamaindex/cohere": "workspace:* || ^0.0.4",
+    "@llamaindex/deepinfra": "workspace:* || ^0.0.35",
+    "@llamaindex/env": "workspace:* || ^0.1.27",
+    "@llamaindex/google": "workspace:* || ^0.0.6",
+    "@llamaindex/groq": "workspace:* || ^0.0.50",
+    "@llamaindex/huggingface": "workspace:* || ^0.0.35",
+    "@llamaindex/milvus": "workspace:* || ^0.0.4",
+    "@llamaindex/mistral": "workspace:* || ^0.0.4",
+    "@llamaindex/mixedbread": "workspace:* || ^0.0.4",
+    "@llamaindex/mongodb": "workspace:* || ^0.0.4",
+    "@llamaindex/node-parser": "workspace:* || ^0.0.24",
+    "@llamaindex/ollama": "workspace:* || ^0.0.39",
+    "@llamaindex/openai": "workspace:* || ^0.1.51",
+    "@llamaindex/pinecone": "workspace:* || ^0.0.4",
+    "@llamaindex/portkey-ai": "workspace:* || ^0.0.32",
+    "@llamaindex/postgres": "workspace:* || ^0.0.32",
+    "@llamaindex/qdrant": "workspace:* || ^0.0.4",
+    "@llamaindex/readers": "workspace:* || ^1.0.25",
+    "@llamaindex/replicate": "workspace:* || ^0.0.32",
+    "@llamaindex/upstash": "workspace:* || ^0.0.4",
+    "@llamaindex/vercel": "workspace:* || ^0.0.10",
+    "@llamaindex/vllm": "workspace:* || ^0.0.21",
+    "@llamaindex/weaviate": "workspace:* || ^0.0.4",
+    "@llamaindex/workflow": "workspace:* || ^0.0.10",
    "@notionhq/client": "^2.2.15",
    "@pinecone-database/pinecone": "^4.0.0",
    "@vercel/postgres": "^0.10.0",
    "ai": "^4.0.0",
+    "ajv": "^8.17.1",
    "commander": "^12.1.0",
    "dotenv": "^16.4.5",
    "js-tiktoken": "^1.0.14",
-    "llamaindex": "^0.8.37",
+    "llamaindex": "workspace:* || ^0.8.37",
    "mongodb": "6.7.0",
    "postgres": "^3.4.4",
-    "ajv": "^8.17.1",
-    "wikipedia": "^2.1.2",
-    "@llamaindex/openai": "workspace:*",
-    "@llamaindex/cloud": "workspace:*",
-    "@llamaindex/anthropic": "workspace:*",
-    "@llamaindex/clip": "workspace:*",
-    "@llamaindex/azure": "workspace:*",
-    "@llamaindex/deepinfra": "workspace:*",
-    "@llamaindex/groq": "workspace:*",
-    "@llamaindex/huggingface": "workspace:*",
-    "@llamaindex/node-parser": "workspace:*",
-    "@llamaindex/ollama": "workspace:*",
-    "@llamaindex/portkey-ai": "workspace:*",
-    "@llamaindex/readers": "workspace:*",
-    "@llamaindex/replicate": "workspace:*",
-    "@llamaindex/vllm": "workspace:*",
-    "@llamaindex/postgres": "workspace:*",
-    "@llamaindex/astra": "workspace:*",
-    "@llamaindex/milvus": "workspace:*",
-    "@llamaindex/chroma": "workspace:*",
-    "@llamaindex/mongodb": "workspace:*",
-    "@llamaindex/pinecone": "workspace:*",
-    "@llamaindex/qdrant": "workspace:*",
-    "@llamaindex/upstash": "workspace:*",
-    "@llamaindex/weaviate": "workspace:*",
-    "@llamaindex/google": "workspace:*",
-    "@llamaindex/mistral": "workspace:*",
-    "@llamaindex/mixedbread": "workspace:*",
-    "@llamaindex/cohere": "workspace:*"
+    "wikipedia": "^2.1.2"
  },
  "devDependencies": {
    "@types/node": "^22.9.0",
    "tsx": "^4.19.0",
    "typescript": "^5.7.2"
  },
-  "scripts": {
-    "lint": "eslint .",
-    "start": "tsx ./starter.ts"
-  },
  "stackblitz": {
    "startCommand": "npm start"
  }
@@ -19,9 +19,9 @@
    "start:obsidian": "node --import tsx ./src/obsidian.ts"
  },
  "dependencies": {
-    "@llamaindex/readers": "*",
-    "llamaindex": "*",
-    "@llamaindex/cloud": "*"
+    "@llamaindex/cloud": "workspace:* || ^2.0.24",
+    "@llamaindex/readers": "workspace:* || ^1.0.25",
+    "llamaindex": "workspace:* || ^0.8.37"
  },
  "devDependencies": {
    "@types/node": "^22.9.0",
@@ -1,6 +1,6 @@
+import { PGVectorStore } from "@llamaindex/postgres";
 import dotenv from "dotenv";
 import { Document, VectorStoreQueryMode } from "llamaindex";
-import { PGVectorStore } from "llamaindex/vector-store/PGVectorStore";
 import postgres from "postgres";

 dotenv.config();
@@ -1,5 +1,5 @@
+import { PGVectorStore } from "@llamaindex/postgres";
 import { VectorStoreIndex } from "llamaindex";
-import { PGVectorStore } from "llamaindex/vector-store/PGVectorStore";

 async function main() {
  // eslint-disable-next-line @typescript-eslint/no-require-imports
@@ -1,8 +1,8 @@
 // https://vercel.com/docs/storage/vercel-postgres/sdk
+import { PGVectorStore } from "@llamaindex/postgres";
 import { sql } from "@vercel/postgres";
 import dotenv from "dotenv";
 import { Document, VectorStoreQueryMode } from "llamaindex";
-import { PGVectorStore } from "llamaindex/vector-store/PGVectorStore";

 dotenv.config();

@@ -2,8 +2,9 @@
  "name": "@llamaindex/monorepo",
  "private": true,
  "scripts": {
-    "build": "turbo run build --filter=\"./packages/*\" --filter=\"./packages/providers/*\"",
-    "dev": "turbo run dev --filter=\"./packages/*\" --filter=\"./packages/providers/*\"",
+    "clean": "find . -type d \\( -name .turbo -o -name node_modules -o -name dist -o -name .next -o -name lib \\) -exec rm -rf {} +",
+    "build": "turbo run build --filter=\"./packages/*\" --filter=\"./packages/providers/**\"",
+    "dev": "turbo run dev --filter=\"./packages/*\" --filter=\"./packages/providers/**\"",
    "format": "prettier --ignore-unknown --cache --check .",
    "format:write": "prettier --ignore-unknown --write .",
    "lint": "turbo run lint",
@@ -15,7 +16,8 @@
    "release": "pnpm run build && changeset publish",
    "release-snapshot": "pnpm run build && changeset publish --tag snapshot",
    "new-version": "changeset version && pnpm format:write && pnpm run build",
-    "new-snapshot": "pnpm run build && changeset version --snapshot"
+    "new-snapshot": "pnpm run build && changeset version --snapshot",
+    "lint-staged": "lint-staged"
  },
  "devDependencies": {
    "@changesets/cli": "^2.27.5",
@@ -36,6 +38,10 @@
  },
  "packageManager": "pnpm@9.12.3",
  "lint-staged": {
-    "(!apps/docs/i18n/**/docusaurus-plugin-content-docs/current/api/*).{js,jsx,ts,tsx,md}": "prettier --write"
+    "*.{js,jsx,ts,tsx}": [
+      "prettier --check",
+      "eslint"
+    ],
+    "*.{json,md}": "prettier --check"
  }
 }
@@ -82,11 +82,8 @@
  }
  .background-gradient {
    background-color: #fff;
-    background-image: radial-gradient(
-        at 21% 11%,
-        rgba(186, 186, 233, 0.53) 0,
-        transparent 50%
-      ),
+    background-image:
+      radial-gradient(at 21% 11%, rgba(186, 186, 233, 0.53) 0, transparent 50%),
      radial-gradient(at 85% 0, hsla(46, 57%, 78%, 0.52) 0, transparent 50%),
      radial-gradient(at 91% 36%, rgba(194, 213, 255, 0.68) 0, transparent 50%),
      radial-gradient(at 8% 40%, rgba(251, 218, 239, 0.46) 0, transparent 50%);
@@ -1,6 +1,11 @@
 {
  "name": "@llamaindex/autotool",
  "type": "module",
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/run-llama/LlamaIndexTS.git",
+    "directory": "packages/autotool"
+  },
  "version": "5.0.37",
  "description": "auto transpile your JS function to LLM Agent compatible",
  "files": [
@@ -16,7 +16,6 @@ export const DEFAULT_DOC_STORE_PERSIST_FILENAME = "doc_store.json";
 export const DEFAULT_VECTOR_STORE_PERSIST_FILENAME = "vector_store.json";
 export const DEFAULT_GRAPH_STORE_PERSIST_FILENAME = "graph_store.json";
 export const DEFAULT_NAMESPACE = "docstore";
-export const DEFAULT_IMAGE_VECTOR_NAMESPACE = "images";
 //#endregion
 //#region llama cloud
 export const DEFAULT_PROJECT_NAME = "Default";
@@ -20,35 +20,12 @@
    "llamaindex"
  ],
  "dependencies": {
-    "@llamaindex/anthropic": "workspace:*",
-    "@llamaindex/clip": "workspace:*",
    "@llamaindex/cloud": "workspace:*",
    "@llamaindex/core": "workspace:*",
-    "@llamaindex/deepinfra": "workspace:*",
    "@llamaindex/env": "workspace:*",
-    "@llamaindex/groq": "workspace:*",
-    "@llamaindex/huggingface": "workspace:*",
    "@llamaindex/node-parser": "workspace:*",
-    "@llamaindex/ollama": "workspace:*",
    "@llamaindex/openai": "workspace:*",
-    "@llamaindex/portkey-ai": "workspace:*",
    "@llamaindex/readers": "workspace:*",
-    "@llamaindex/replicate": "workspace:*",
-    "@llamaindex/vllm": "workspace:*",
-    "@llamaindex/postgres": "workspace:*",
-    "@llamaindex/azure": "workspace:*",
-    "@llamaindex/astra": "workspace:*",
-    "@llamaindex/milvus": "workspace:*",
-    "@llamaindex/chroma": "workspace:*",
-    "@llamaindex/mongodb": "workspace:*",
-    "@llamaindex/pinecone": "workspace:*",
-    "@llamaindex/qdrant": "workspace:*",
-    "@llamaindex/upstash": "workspace:*",
-    "@llamaindex/weaviate": "workspace:*",
-    "@llamaindex/google": "workspace:*",
-    "@llamaindex/mistral": "workspace:*",
-    "@llamaindex/mixedbread": "workspace:*",
-    "@llamaindex/cohere": "workspace:*",
    "@types/lodash": "^4.17.7",
    "@types/node": "^22.9.0",
    "ajv": "^8.17.1",
@@ -1,7 +0,0 @@
-import { AnthropicAgent } from "@llamaindex/anthropic";
-import { withContextAwareness } from "./contextAwareMixin.js";
-
-export const AnthropicContextAwareAgent = withContextAwareness(AnthropicAgent);
-export type { ContextAwareConfig } from "./contextAwareMixin.js";
-
-export * from "@llamaindex/anthropic";
@@ -1,7 +1,3 @@
-import {
-  AnthropicAgent,
-  type AnthropicAgentParams,
-} from "@llamaindex/anthropic";
 import type {
  NonStreamingChatEngineParams,
  StreamingChatEngineParams,
@@ -20,29 +16,21 @@ export interface ContextAwareState {
  retrievedContext: string | null;
 }

-export type SupportedAgent = typeof OpenAIAgent | typeof AnthropicAgent;
-export type AgentParams<T> = T extends typeof OpenAIAgent
-  ? OpenAIAgentParams
-  : T extends typeof AnthropicAgent
-    ? AnthropicAgentParams
-    : never;
+// TODO: support any LLMAgent
+export type SupportedAgent = typeof OpenAIAgent;
+export type AgentParams = OpenAIAgentParams;

 /**
 * ContextAwareAgentRunner enhances the base AgentRunner with the ability to retrieve and inject relevant context
 * for each query. This allows the agent to access and utilize appropriate information from a given index or retriever,
 * providing more informed and context-specific responses to user queries.
 */
-export function withContextAwareness<T extends SupportedAgent>(Base: T) {
+export function withContextAwareness(Base: SupportedAgent) {
  return class ContextAwareAgent extends Base {
    public readonly contextRetriever: BaseRetriever;
    public retrievedContext: string | null = null;
-    declare public chatHistory: T extends typeof OpenAIAgent
-      ? OpenAIAgent["chatHistory"]
-      : T extends typeof AnthropicAgent
-        ? AnthropicAgent["chatHistory"]
-        : never;

-    constructor(params: AgentParams<T> & ContextAwareConfig) {
+    constructor(params: AgentParams & ContextAwareConfig) {
      super(params);
      this.contextRetriever = params.contextRetriever;
    }
@@ -1,21 +1,6 @@
 export * from "@llamaindex/core/agent";
-export {
-  OllamaAgent,
-  OllamaAgentWorker,
-  type OllamaAgentParams,
-} from "@llamaindex/ollama";
-export {
-  AnthropicAgent,
-  AnthropicAgentWorker,
-  AnthropicContextAwareAgent,
-  type AnthropicAgentParams,
-} from "./anthropic.js";
-export {
-  OpenAIAgent,
-  OpenAIAgentWorker,
-  OpenAIContextAwareAgent,
-  type OpenAIAgentParams,
-} from "./openai.js";
+
+export { OpenAIContextAwareAgent } from "./openai.js";
 export {
  ReACTAgentWorker,
  ReActAgent,
@@ -1 +0,0 @@
-export * from "@llamaindex/clip";
@@ -1 +0,0 @@
-export * from "@llamaindex/deepinfra";
@@ -1 +0,0 @@
-export { GEMINI_EMBEDDING_MODEL, GeminiEmbedding } from "@llamaindex/google";
@@ -1 +0,0 @@
-export * from "@llamaindex/huggingface";
@@ -1,4 +0,0 @@
-export {
-  MistralAIEmbedding,
-  MistralAIEmbeddingModelType,
-} from "@llamaindex/mistral";
@@ -1,4 +0,0 @@
-export {
-  MixedbreadAIEmbeddings,
-  type MixedbreadAIEmbeddingsParams,
-} from "@llamaindex/mixedbread";
@@ -1 +0,0 @@
-export { OllamaEmbedding } from "@llamaindex/ollama";
@@ -1,12 +1,5 @@
 export * from "@llamaindex/core/embeddings";
-export { ClipEmbedding, ClipEmbeddingModelType } from "./ClipEmbedding.js";
-export { DeepInfraEmbedding } from "./DeepInfraEmbedding.js";
 export { FireworksEmbedding } from "./fireworks.js";
-export { GEMINI_EMBEDDING_MODEL, GeminiEmbedding } from "./GeminiEmbedding.js";
-export * from "./HuggingFaceEmbedding.js";
 export * from "./JinaAIEmbedding.js";
-export * from "./MistralAIEmbedding.js";
-export * from "./MixedbreadAIEmbeddings.js";
-export { OllamaEmbedding } from "./OllamaEmbedding.js";
 export * from "./OpenAIEmbedding.js";
 export { TogetherEmbedding } from "./together.js";
@@ -32,7 +32,6 @@ export {
  DEFAULT_CONTEXT_WINDOW,
  DEFAULT_DOC_STORE_PERSIST_FILENAME,
  DEFAULT_GRAPH_STORE_PERSIST_FILENAME,
-  DEFAULT_IMAGE_VECTOR_NAMESPACE,
  DEFAULT_INDEX_STORE_PERSIST_FILENAME,
  DEFAULT_NAMESPACE,
  DEFAULT_NUM_OUTPUTS,
@@ -1,21 +1,9 @@
 export * from "./index.edge.js";
 export * from "./readers/index.js";
 export * from "./storage/index.js";
-// Exports modules that doesn't support non-node.js runtime
-export {
-  HuggingFaceEmbedding,
-  HuggingFaceEmbeddingModelType,
-} from "./embeddings/HuggingFaceEmbedding.js";

-export {
-  GeminiVertexSession,
-  type VertexGeminiSessionOptions,
-} from "@llamaindex/google";
-
-// Expose AzureDynamicSessionTool for node.js runtime only
-export { AzureDynamicSessionTool } from "@llamaindex/azure";
 export { JinaAIEmbedding } from "./embeddings/JinaAIEmbedding.js";

-// Don't export vector store modules for non-node.js runtime on top level,
+// Don't export SimpleVectorStore for non-node.js runtime on top level,
 //  as we cannot guarantee that they will work in other environments
 export * from "./vector-store.js";
@@ -1 +0,0 @@
-export * from "@llamaindex/anthropic";
@@ -1 +0,0 @@
-export * from "@llamaindex/deepinfra";
@@ -1 +0,0 @@
-export * from "@llamaindex/google";
@@ -1 +0,0 @@
-export * from "@llamaindex/groq";
@@ -1 +0,0 @@
-export * from "@llamaindex/huggingface";
@@ -1,39 +1,4 @@
-export { VLLM, type VLLMParams } from "@llamaindex/vllm";
-export {
-  ALL_AVAILABLE_ANTHROPIC_LEGACY_MODELS,
-  ALL_AVAILABLE_ANTHROPIC_MODELS,
-  ALL_AVAILABLE_V3_MODELS,
-  Anthropic,
-} from "./anthropic.js";
-export { FireworksLLM } from "./fireworks.js";
-export {
-  GEMINI_MODEL,
-  Gemini,
-  GeminiSession,
-  type GoogleGeminiSessionOptions,
-} from "./google.js";
-export * from "./groq.js";
-export { HuggingFaceInferenceAPI, HuggingFaceLLM } from "./huggingface.js";
-export {
-  ALL_AVAILABLE_MISTRAL_MODELS,
-  MistralAI,
-  MistralAISession,
-} from "./mistral.js";
-export * from "./openai.js";
-export { Portkey } from "./portkey.js";
-export * from "./replicate_ai.js";
-// Note: The type aliases for replicate are to simplify usage for Llama 2 (we're using replicate for Llama 2 support)
-export { DeepInfra } from "./deepinfra.js";
-export * from "./ollama.js";
-export {
-  ALL_AVAILABLE_REPLICATE_MODELS,
-  DeuceChatStrategy,
-  LlamaDeuce,
-  ReplicateChatStrategy,
-  ReplicateLLM,
-  ReplicateSession,
-} from "./replicate_ai.js";
-
 export { DeepSeekLLM } from "./deepseek.js";
+export { FireworksLLM } from "./fireworks.js";
+export * from "./openai.js";
 export { TogetherLLM } from "./together.js";
-export * from "./types.js";
@@ -1 +0,0 @@
-export * from "@llamaindex/mistral";
@@ -1 +0,0 @@
-export { Ollama, type OllamaParams } from "@llamaindex/ollama";
@@ -1 +0,0 @@
-export * from "@llamaindex/portkey-ai";
@@ -1 +0,0 @@
-export * from "@llamaindex/replicate";
@@ -1,6 +1 @@
-export * from "@llamaindex/cohere";
-export {
-  MixedbreadAIReranker,
-  type MixedbreadAIRerankerParams,
-} from "@llamaindex/mixedbread";
 export * from "./JinaAIReranker.js";
@@ -1,8 +1,4 @@
-import { ClipEmbedding } from "@llamaindex/clip";
-import {
-  DEFAULT_IMAGE_VECTOR_NAMESPACE,
-  DEFAULT_NAMESPACE,
-} from "@llamaindex/core/global";
+import { DEFAULT_NAMESPACE } from "@llamaindex/core/global";
 import { ModalityType, ObjectType } from "@llamaindex/core/schema";
 import type { BaseDocumentStore } from "@llamaindex/core/storage/doc-store";
 import {
@@ -13,7 +9,6 @@ import type {
  BaseVectorStore,
  VectorStoreByType,
 } from "@llamaindex/core/vector-store";
-import { path } from "@llamaindex/env";
 import type { ServiceContext } from "../ServiceContext.js";
 import { SimpleVectorStore } from "../vector-store/SimpleVectorStore.js";
 import { SimpleDocumentStore } from "./docStore/SimpleDocumentStore.js";
@@ -29,7 +24,6 @@ type BuilderParams = {
  indexStore: BaseIndexStore;
  vectorStore: BaseVectorStore;
  vectorStores: VectorStoreByType;
-  storeImages: boolean;
  persistDir: string;
  /**
   * @deprecated Please use `Settings` instead
@@ -42,7 +36,6 @@ export async function storageContextFromDefaults({
  indexStore,
  vectorStore,
  vectorStores,
-  storeImages,
  persistDir,
  serviceContext,
 }: Partial<BuilderParams>): Promise<StorageContext> {
@@ -53,11 +46,6 @@ export async function storageContextFromDefaults({
    if (!(ModalityType.TEXT in vectorStores)) {
      vectorStores[ModalityType.TEXT] = vectorStore ?? new SimpleVectorStore();
    }
-    if (storeImages && !(ModalityType.IMAGE in vectorStores)) {
-      vectorStores[ModalityType.IMAGE] = new SimpleVectorStore({
-        embeddingModel: new ClipEmbedding(),
-      });
-    }
  } else {
    const embedModel = serviceContext?.embedModel;
    docStore =
@@ -70,12 +58,6 @@ export async function storageContextFromDefaults({
        vectorStore ??
        (await SimpleVectorStore.fromPersistDir(persistDir, embedModel));
    }
-    if (storeImages && !(ObjectType.IMAGE in vectorStores)) {
-      vectorStores[ModalityType.IMAGE] = await SimpleVectorStore.fromPersistDir(
-        path.join(persistDir, DEFAULT_IMAGE_VECTOR_NAMESPACE),
-        new ClipEmbedding(),
-      );
-    }
  }

  return {
@@ -1,14 +1,7 @@
-export * from "@llamaindex/azure/storage";
 export * from "@llamaindex/core/storage/chat-store";
 export * from "@llamaindex/core/storage/doc-store";
 export * from "@llamaindex/core/storage/index-store";
 export * from "@llamaindex/core/storage/kv-store";
-export {
-  PostgresDocumentStore,
-  PostgresIndexStore,
-  PostgresKVStore,
-} from "@llamaindex/postgres";
 export { SimpleDocumentStore } from "./docStore/SimpleDocumentStore.js";
 export * from "./FileSystem.js";
-
 export * from "./StorageContext.js";
@@ -1,50 +0,0 @@
-import {
-  AzureDynamicSessionTool,
-  type AzureDynamicSessionToolParams,
-} from "@llamaindex/azure";
-
-// eslint-disable-next-line @typescript-eslint/no-namespace
-export namespace ToolsFactory {
-  type ToolsMap = {
-    [Tools.AzureCodeInterpreter]: typeof AzureDynamicSessionTool;
-  };
-
-  export enum Tools {
-    AzureCodeInterpreter = "azure_code_interpreter.AzureCodeInterpreterToolSpec",
-  }
-
-  export async function createTool<Tool extends Tools>(
-    key: Tool,
-    ...params: ConstructorParameters<ToolsMap[Tool]>
-  ): Promise<InstanceType<ToolsMap[Tool]>> {
-    if (key === Tools.AzureCodeInterpreter) {
-      return new AzureDynamicSessionTool(
-        ...(params as AzureDynamicSessionToolParams[]),
-      ) as InstanceType<ToolsMap[Tool]>;
-    }
-
-    throw new Error(
-      `Sorry! Tool ${key} is not supported yet. Options: ${params}`,
-    );
-  }
-
-  export async function createTools<const Tool extends Tools>(record: {
-    // eslint-disable-next-line @typescript-eslint/no-explicit-any
-    [key in Tool]: ConstructorParameters<ToolsMap[Tool]>[1] extends any // backward compatibility for `create-llama` script // if parameters are an array, use them as is
-      ? ConstructorParameters<ToolsMap[Tool]>[0]
-      : ConstructorParameters<ToolsMap[Tool]>;
-  }): Promise<InstanceType<ToolsMap[Tool]>[]> {
-    const tools: InstanceType<ToolsMap[Tool]>[] = [];
-    for (const key in record) {
-      const params = record[key];
-      tools.push(
-        await createTool(
-          key,
-          // @ts-expect-error allow array or single parameter
-          Array.isArray(params) ? params : [params],
-        ),
-      );
-    }
-    return tools;
-  }
-}
@@ -1 +0,0 @@
-export * from "@llamaindex/astra";
@@ -1 +0,0 @@
-export * from "@llamaindex/azure";
@@ -1 +0,0 @@
-export * from "@llamaindex/chroma";
@@ -1 +0,0 @@
-export * from "@llamaindex/milvus";
@@ -1 +0,0 @@
-export * from "@llamaindex/mongodb";
@@ -1,7 +0,0 @@
-export {
-  DEFAULT_DIMENSIONS,
-  PGVECTOR_SCHEMA,
-  PGVECTOR_TABLE,
-  PGVectorStore,
-  type PGVectorStoreConfig,
-} from "@llamaindex/postgres";
@@ -1 +0,0 @@
-export * from "@llamaindex/pinecone";
@@ -1 +0,0 @@
-export * from "@llamaindex/qdrant";
@@ -1 +0,0 @@
-export * from "@llamaindex/upstash";
@@ -1 +0,0 @@
-export * from "@llamaindex/weaviate";
@@ -1,14 +1,2 @@
 export * from "@llamaindex/core/vector-store";
-
 export * from "./SimpleVectorStore.js";
-
-export * from "./AstraDBVectorStore.js";
-export * from "./AzureAISearchVectorStore.js";
-export * from "./ChromaVectorStore.js";
-export * from "./MilvusVectorStore.js";
-export * from "./MongoDBAtlasVectorStore.js";
-export * from "./PGVectorStore.js";
-export * from "./PineconeVectorStore.js";
-export * from "./QdrantVectorStore.js";
-export * from "./UpstashVectorStore.js";
-export * from "./WeaviateVectorStore.js";
@@ -7,15 +7,7 @@
    "test": "vitest run"
  },
  "devDependencies": {
-    "@azure/cosmos": "^4.1.1",
-    "@azure/identity": "^4.4.1",
-    "@azure/search-documents": "^12.1.0",
-    "@zilliz/milvus2-sdk-node": "^2.4.6",
-    "@qdrant/js-client-rest": "^1.11.0",
-    "@faker-js/faker": "^9.2.0",
-    "dotenv": "^16.4.5",
    "llamaindex": "workspace:*",
-    "msw": "^2.6.5",
    "vitest": "^2.1.5"
  }
 }
@@ -1,7 +1,7 @@
 {
  "name": "@llamaindex/anthropic",
  "description": "Anthropic Adapter for LlamaIndex",
-  "version": "0.0.33",
+  "version": "0.0.32",
  "type": "module",
  "main": "./dist/index.cjs",
  "module": "./dist/index.js",
@@ -31,13 +31,13 @@
    "test": "vitest run"
  },
  "devDependencies": {
-    "bunchee": "6.2.0"
+    "bunchee": "6.2.0",
+    "vitest": "^2.1.5"
  },
  "dependencies": {
    "@anthropic-ai/sdk": "0.32.1",
    "@llamaindex/core": "workspace:*",
    "@llamaindex/env": "workspace:*",
-    "remeda": "^2.17.3",
-    "vitest": "^2.1.5"
+    "remeda": "^2.17.3"
  }
 }
@@ -79,7 +79,7 @@ export class ClipEmbedding extends MultiModalEmbedding {
      );
    });
    if (!this.processor) {
-      this.processor = await AutoProcessor.from_pretrained(this.modelType);
+      this.processor = await AutoProcessor.from_pretrained(this.modelType, {});
    }
    return this.processor;
  }
@@ -35,6 +35,6 @@
  "dependencies": {
    "@llamaindex/core": "workspace:*",
    "@llamaindex/env": "workspace:*",
-    "openai": "^4.73.1"
+    "openai": "^4.83.0"
  }
 }
@@ -78,6 +78,15 @@ export const GPT4_MODELS = {
  "gpt-4o-2024-11-20": {
    contextWindow: 128000,
  },
+  "gpt-4o-audio-preview-2024-12-17": {
+    contextWindow: 128000,
+  },
+  "gpt-4o-mini-audio-preview": {
+    contextWindow: 128000,
+  },
+  "gpt-4o-mini-audio-preview-2024-12-17": {
+    contextWindow: 128000,
+  },
 };

 // NOTE we don't currently support gpt-3.5-turbo-instruct and don't plan to in the near future
@@ -104,6 +113,12 @@ export const O1_MODELS = {
  "o1-mini-2024-09-12": {
    contextWindow: 128000,
  },
+  o1: {
+    contextWindow: 128000,
+  },
+  "o1-2024-12-17": {
+    contextWindow: 128000,
+  },
 };

 export const O3_MODELS = {
@@ -1,6 +1,6 @@
 import type { BaseNode } from "@llamaindex/core/schema";
-import { AzureCosmosDBNoSqlVectorStore } from "llamaindex";
 import type { Mocked } from "vitest";
+import { AzureCosmosDBNoSqlVectorStore } from "../src/vectorStore/AzureCosmosDBNoSqlVectorStore";

 export class TestableAzureCosmosDBNoSqlVectorStore extends AzureCosmosDBNoSqlVectorStore {
  public nodes: BaseNode[] = [];
@@ -53,18 +53,22 @@
  },
  "scripts": {
    "build": "bunchee",
-    "dev": "bunchee --watch"
+    "dev": "bunchee --watch",
+    "test": "vitest run"
  },
  "devDependencies": {
+    "@llamaindex/openai": "workspace:*",
+    "@types/node": "^22.9.0",
    "bunchee": "6.2.0",
-    "@types/node": "^22.9.0"
+    "dotenv": "^16.4.7",
+    "vitest": "^2.1.5"
  },
  "dependencies": {
-    "@llamaindex/core": "workspace:*",
-    "@llamaindex/env": "workspace:*",
    "@azure/cosmos": "^4.1.1",
    "@azure/identity": "^4.4.1",
    "@azure/search-documents": "^12.1.0",
+    "@llamaindex/core": "workspace:*",
+    "@llamaindex/env": "workspace:*",
    "mongodb": "^6.7.0"
  }
 }
@@ -1,9 +1,13 @@
 /* eslint-disable @typescript-eslint/no-explicit-any */

 import { SearchClient, SearchIndexClient } from "@azure/search-documents";
-import { AzureAISearchVectorStore } from "llamaindex";
-import { afterEach, beforeEach } from "node:test";
-import { describe, expect, it, vi } from "vitest";
+import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
+
+import { Settings } from "@llamaindex/core/global";
+import { OpenAIEmbedding } from "@llamaindex/openai";
+import { AzureAISearchVectorStore } from "../src/vectorStore/AzureAISearchVectorStore";
+
+Settings.embedModel = new OpenAIEmbedding();

 // We test only for the initialization of the store, and the search and index clients, will variants of the options provided
 const MOCK_ENDPOINT = "https://test-endpoint.com";
@@ -1,10 +1,14 @@
 /* eslint-disable @typescript-eslint/no-explicit-any */
+import { Settings } from "@llamaindex/core/global";
 import type { BaseNode } from "@llamaindex/core/schema";
+import { VectorStoreQueryMode } from "@llamaindex/core/vector-store";
+import { OpenAIEmbedding } from "@llamaindex/openai";
 import { beforeEach, describe, expect, it, vi } from "vitest";
-import { VectorStoreQueryMode } from "../../src/vector-store.js";
 import { TestableAzureCosmosDBNoSqlVectorStore } from "../mocks/TestableAzureCosmosDBNoSqlVectorStore.js";
 import { createMockClient } from "../utility/mockCosmosClient.js"; // Import the mock client

+Settings.embedModel = new OpenAIEmbedding();
+
 const createNodes = (n: number) => {
  const nodes: BaseNode[] = [];
  for (let i = 0; i < n; i += 1) {
@@ -0,0 +1,7 @@
+import { defineConfig } from "vitest/config";
+
+export default defineConfig({
+  test: {
+    exclude: ["**/node_modules/**", "**/*.int.test.ts", "**/dist/**"],
+  },
+});
@@ -1,7 +1,7 @@
 import type { BaseNode } from "@llamaindex/core/schema";
 import type { MilvusClient } from "@zilliz/milvus2-sdk-node";
-import { MilvusVectorStore } from "llamaindex";
 import { type Mocked } from "vitest";
+import { MilvusVectorStore } from "../src/MilvusVectorStore";

 export class TestableMilvusVectorStore extends MilvusVectorStore {
  public nodes: BaseNode[] = [];
@@ -35,10 +35,13 @@
  },
  "scripts": {
    "build": "bunchee",
-    "dev": "bunchee --watch"
+    "dev": "bunchee --watch",
+    "test": "vitest run"
  },
  "devDependencies": {
-    "bunchee": "6.2.0"
+    "@llamaindex/openai": "workspace:*",
+    "bunchee": "6.2.0",
+    "vitest": "^2.1.5"
  },
  "dependencies": {
    "@llamaindex/core": "workspace:*",
@@ -1,12 +1,16 @@
+import { Settings } from "@llamaindex/core/global";
 import type { BaseNode } from "@llamaindex/core/schema";
 import { TextNode } from "@llamaindex/core/schema";
 import {
-  MilvusVectorStore,
  VectorStoreQueryMode,
  type MetadataFilters,
-} from "llamaindex";
+} from "@llamaindex/core/vector-store";
+import { OpenAIEmbedding } from "@llamaindex/openai";
 import { beforeEach, describe, expect, it, vi } from "vitest";
-import { TestableMilvusVectorStore } from "../mocks/TestableMilvusVectorStore.js";
+import { TestableMilvusVectorStore } from "../mocks/TestableMilvusVectorStore";
+import { MilvusVectorStore } from "../src/MilvusVectorStore";
+
+Settings.embedModel = new OpenAIEmbedding();

 type FilterTestCase = {
  title: string;
@@ -1,5 +1,5 @@
 import type { BaseNode } from "@llamaindex/core/schema";
-import { QdrantVectorStore } from "llamaindex";
+import { QdrantVectorStore } from "../src/QdrantVectorStore";

 export class TestableQdrantVectorStore extends QdrantVectorStore {
  public nodes: BaseNode[] = [];
@@ -35,10 +35,13 @@
  },
  "scripts": {
    "build": "bunchee",
-    "dev": "bunchee --watch"
+    "dev": "bunchee --watch",
+    "test": "vitest run"
  },
  "devDependencies": {
-    "bunchee": "6.2.0"
+    "bunchee": "6.2.0",
+    "vitest": "^2.1.5",
+    "@llamaindex/openai": "workspace:*"
  },
  "dependencies": {
    "@llamaindex/core": "workspace:*",
@@ -3,10 +3,14 @@ import { TextNode } from "@llamaindex/core/schema";
 import type { Mocked } from "vitest";
 import { beforeEach, describe, expect, it, vi } from "vitest";

+import { VectorStoreQueryMode } from "@llamaindex/core/vector-store";
 import { QdrantClient } from "@qdrant/js-client-rest";
-import { VectorStoreQueryMode } from "llamaindex/vector-store";
 import { TestableQdrantVectorStore } from "../mocks/TestableQdrantVectorStore.js";

+import { Settings } from "@llamaindex/core/global";
+import { OpenAIEmbedding } from "@llamaindex/openai";
+
+Settings.embedModel = new OpenAIEmbedding();
 vi.mock("@qdrant/js-client-rest");

 describe("QdrantVectorStore", () => {
				`@@ -1 +0,0 @@`
				`export { GEMINI_EMBEDDING_MODEL, GeminiEmbedding } from "@llamaindex/google";`
				`@@ -1 +0,0 @@`
				`export { OllamaEmbedding } from "@llamaindex/ollama";`
				`@@ -1 +0,0 @@`
				`export { Ollama, type OllamaParams } from "@llamaindex/ollama";`