Release 0.9.8 (#1711)

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: marcusschiesser <17126+marcusschiesser@users.noreply.github.com>

apps/next/CHANGELOG.md

@@ -1,5 +1,40 @@
 # @llamaindex/doc
 
+## 0.1.8
+
+### Patch Changes
+
+- Updated dependencies [4b49428]
+- Updated dependencies [bbc8c87]
+  - @llamaindex/workflow@0.0.14
+  - llamaindex@0.9.8
+
+## 0.1.7
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/core@0.5.6
+  - llamaindex@0.9.7
+  - @llamaindex/cloud@3.0.7
+  - @llamaindex/node-parser@1.0.6
+  - @llamaindex/openai@0.1.58
+  - @llamaindex/readers@2.0.6
+  - @llamaindex/workflow@0.0.13
+
+## 0.1.6
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+  - @llamaindex/workflow@0.0.12
+  - @llamaindex/cloud@3.0.6
+  - llamaindex@0.9.6
+  - @llamaindex/node-parser@1.0.5
+  - @llamaindex/openai@0.1.57
+  - @llamaindex/readers@2.0.5
+
 ## 0.1.5
 
 ### Patch Changes

apps/next/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/doc",
-  "version": "0.1.5",
+  "version": "0.1.8",
   "private": true,
   "scripts": {
     "build": "pnpm run build:docs && next build",

apps/next/src/content/docs/llamaindex/getting_started/setup/node.mdx

@@ -3,6 +3,8 @@ title: With Node.js/Bun/Deno
 description: In this guide, you'll learn how to use LlamaIndex with Node.js, Bun, and Deno.
 ---
 
+import { Tab, Tabs } from "fumadocs-ui/components/tabs";
+
 ## Adding environment variables
 
 By default, LlamaIndex uses OpenAI provider, which requires an API key. You can set the `OPENAI_API_KEY` environment variable to authenticate with OpenAI.
@@ -22,6 +24,26 @@ node --env-file .env your-script.js
 
 For more information, see the [How to read environment variables from Node.js](https://nodejs.org/en/learn/command-line/how-to-read-environment-variables-from-nodejs).
 
+## Performance Optimization
+
+By the default, we are using `js-tiktoken` for tokenization. You can install `gpt-tokenizer` which is then automatically used by LlamaIndex to get a 60x speedup for tokenization:
+
+<Tabs groupId="install" items={["npm", "yarn", "pnpm"]} persist>
+	```shell tab="npm"
+	npm install gpt-tokenizer
+	```
+
+	```shell tab="yarn"
+	yarn add gpt-tokenizer
+	```
+
+	```shell tab="pnpm"
+	pnpm add gpt-tokenizer
+	```
+</Tabs>
+
+> Note: This only works for Node.js
+
 ## TypeScript support
 
 <Card

apps/next/src/content/docs/llamaindex/modules/agent_workflow.mdx

@@ -0,0 +1,139 @@
+---
+title: Agent Workflow
+---
+
+import { DynamicCodeBlock } from 'fumadocs-ui/components/dynamic-codeblock';
+import CodeSource from "!raw-loader!../../../../../../../examples/agentworkflow/blog_writer.ts";
+import { Tab, Tabs } from "fumadocs-ui/components/tabs";
+
+`AgentWorkflow` is a powerful system that enables you to create and orchestrate one or multiple agents with tools to perform specific tasks. It's built on top of the base `Workflow` system and provides a streamlined interface for agent interactions.
+
+## Installation
+
+You'll need to install the `@llamaindex/workflow` package:
+
+<Tabs groupId="install" items={["npm", "yarn", "pnpm"]} persist>
+	```shell tab="npm"
+	npm install @llamaindex/workflow
+	```
+
+	```shell tab="yarn"
+	yarn add @llamaindex/workflow
+	```
+
+	```shell tab="pnpm"
+	pnpm add @llamaindex/workflow
+	```
+</Tabs>
+
+## Usage
+
+### Single Agent Workflow
+
+The simplest use case is creating a single agent with specific tools. Here's an example of creating an assistant that tells jokes:
+
+```typescript
+import { AgentWorkflow, FunctionTool } from "llamaindex";
+import { OpenAI } from "@llamaindex/openai";
+
+// Define a joke-telling tool
+const jokeTool = FunctionTool.from(
+  () => "Baby Llama is called cria",
+  {
+    name: "joke",
+    description: "Use this tool to get a joke",
+  }
+);
+
+// Create an agent workflow with the tool
+const workflow = AgentWorkflow.fromTools({
+  tools: [jokeTool],
+  llm: new OpenAI({
+    model: "gpt-4o-mini",
+  }),
+});
+
+// Run the workflow
+const result = await workflow.run("Tell me something funny");
+console.log(result); // Baby Llama is called cria
+```
+
+### Event Streaming
+
+`AgentWorkflow` provides a unified interface for event streaming, making it easy to track and respond to different events during execution:
+
+```typescript
+import { AgentToolCall, AgentStream } from "llamaindex";
+
+// Get the workflow execution context
+const context = workflow.run("Tell me something funny");
+
+// Stream and handle events
+for await (const event of context) {
+  if (event instanceof AgentToolCall) {
+    console.log(`Tool being called: ${event.data.toolName}`);
+  }
+  if (event instanceof AgentStream) {
+    process.stdout.write(event.data.delta);
+  }
+}
+```
+
+### Multi-Agent Workflow
+
+`AgentWorkflow` can orchestrate multiple agents, enabling complex interactions and task handoffs. Each agent in a multi-agent workflow requires:
+
+- `name`: Unique identifier for the agent
+- `description`: Purpose description used for task routing
+- `tools`: Array of tools the agent can use
+- `canHandoffTo` (optional): Array of agent names or agent instances that this agent can delegate tasks to
+
+Here's an example of a multi-agent system that combines joke-telling and weather information:
+
+```typescript
+import { AgentWorkflow, FunctionAgent, FunctionTool } from "llamaindex";
+import { OpenAI } from "@llamaindex/openai";
+import { z } from "zod";
+
+// Create a weather agent
+const weatherAgent = new FunctionAgent({
+  name: "WeatherAgent",
+  description: "Provides weather information for any city",
+  tools: [
+    FunctionTool.from(
+      ({ city }: { city: string }) => `The weather in ${city} is sunny`,
+      {
+        name: "fetchWeather",
+        description: "Get weather information for a city",
+        parameters: z.object({
+          city: z.string(),
+        }),
+      }
+    ),
+  ],
+  llm: new OpenAI({ model: "gpt-4o-mini" }),
+});
+
+// Create a joke-telling agent
+const jokeAgent = new FunctionAgent({
+  name: "JokeAgent",
+  description: "Tells jokes and funny stories",
+  tools: [jokeTool], // Using the joke tool defined earlier
+  llm: new OpenAI({ model: "gpt-4o-mini" }),
+  canHandoffTo: [weatherAgent], // Can hand off to the weather agent
+});
+
+// Create the multi-agent workflow
+const workflow = new AgentWorkflow({
+  agents: [jokeAgent, weatherAgent],
+  rootAgent: jokeAgent, // Start with the joke agent
+});
+
+// Run the workflow
+const result = await workflow.run(
+  "Give me a morning greeting with a joke and the weather in San Francisco"
+);
+```
+
+The workflow will coordinate between agents, allowing them to handle different aspects of the request and hand off tasks when appropriate.
+

apps/next/src/content/docs/llamaindex/modules/embeddings/available_embeddings/jinaai.mdx

@@ -2,10 +2,11 @@
 title: Jina AI
 ---
 
-To use Jina AI embeddings, you need to import `JinaAIEmbedding` from `llamaindex`.
+To use Jina AI embeddings, you need to import `JinaAIEmbedding` from `@llamaindex/jinaai`.
 
 ```ts
-import { JinaAIEmbedding, Settings } from "llamaindex";
+import { Settings } from "llamaindex";
+import { JinaAIEmbedding } from "@llamaindex/jinaai";
 
 Settings.embedModel = new JinaAIEmbedding();
 

apps/next/src/content/docs/llamaindex/modules/embeddings/available_embeddings/together.mdx

@@ -2,10 +2,11 @@
 title: Together
 ---
 
-To use together embeddings, you need to import `TogetherEmbedding` from `llamaindex`.
+To use together embeddings, you need to import `TogetherEmbedding` from `@llamaindex/together`.
 
 ```ts
-import { TogetherEmbedding, Settings } from "llamaindex";
+import { Settings } from "llamaindex";
+import { TogetherEmbedding } from "@llamaindex/together";
 
 Settings.embedModel = new TogetherEmbedding({
   apiKey: "<YOUR_API_KEY>",

apps/next/src/content/docs/llamaindex/modules/llms/available_llms/deepseek.mdx

@@ -7,7 +7,8 @@ title: DeepSeek LLM
 ## Usage
 
 ```ts
-import { DeepSeekLLM, Settings } from "llamaindex";
+import { Settings } from "llamaindex";
+import { DeepSeekLLM } from "@llamaindex/deepseek";
 
 Settings.llm = new DeepSeekLLM({
   apiKey: "<YOUR_API_KEY>",
@@ -18,7 +19,8 @@ Settings.llm = new DeepSeekLLM({
 ## Example
 
 ```ts
-import { DeepSeekLLM, Document, VectorStoreIndex, Settings } from "llamaindex";
+import { Document, VectorStoreIndex, Settings } from "llamaindex";
+import { DeepSeekLLM } from "@llamaindex/deepseek";
 
 const deepseekLlm = new DeepSeekLLM({
   apiKey: "<YOUR_API_KEY>",

apps/next/src/content/docs/llamaindex/modules/llms/available_llms/fireworks.mdx

@@ -7,7 +7,8 @@ title: Fireworks LLM
 ## Usage
 
 ```ts
-import { FireworksLLM, Settings } from "llamaindex";
+import { Settings } from "llamaindex";
+import { FireworksLLM } from "@llamaindex/fireworks";
 
 Settings.llm = new FireworksLLM({
   apiKey: "<YOUR_API_KEY>",

apps/next/src/content/docs/llamaindex/modules/llms/available_llms/together.mdx

@@ -23,7 +23,8 @@ import { Tab, Tabs } from "fumadocs-ui/components/tabs";
 ## Usage
 
 ```ts
-import { Settings, TogetherLLM } from "llamaindex";
+import { Settings } from "llamaindex";
+import { TogetherLLM } from "@llamaindex/together";
 
 Settings.llm = new TogetherLLM({
   apiKey: "<YOUR_API_KEY>",

e2e/examples/cloudflare-worker-agent/CHANGELOG.md

@@ -1,5 +1,25 @@
 # @llamaindex/cloudflare-worker-agent-test
 
+## 0.0.142
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+
+## 0.0.141
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+
+## 0.0.140
+
+### Patch Changes
+
+- llamaindex@0.9.6
+
 ## 0.0.139
 
 ### Patch Changes

e2e/examples/cloudflare-worker-agent/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/cloudflare-worker-agent-test",
-  "version": "0.0.139",
+  "version": "0.0.142",
   "type": "module",
   "private": true,
   "scripts": {

e2e/examples/llama-parse-browser/CHANGELOG.md

@@ -1,5 +1,17 @@
 # @llamaindex/llama-parse-browser-test
 
+## 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

e2e/examples/llama-parse-browser/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/llama-parse-browser-test",
   "private": true,
-  "version": "0.0.50",
+  "version": "0.0.52",
   "type": "module",
   "scripts": {
     "dev": "vite",

e2e/examples/nextjs-agent/CHANGELOG.md

@@ -1,5 +1,25 @@
 # @llamaindex/next-agent-test
 
+## 0.1.142
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+
+## 0.1.141
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+
+## 0.1.140
+
+### Patch Changes
+
+- llamaindex@0.9.6
+
 ## 0.1.139
 
 ### Patch Changes

e2e/examples/nextjs-agent/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/next-agent-test",
-  "version": "0.1.139",
+  "version": "0.1.142",
   "private": true,
   "scripts": {
     "dev": "next dev",

e2e/examples/nextjs-edge-runtime/CHANGELOG.md

@@ -1,5 +1,25 @@
 # test-edge-runtime
 
+## 0.1.141
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+
+## 0.1.140
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+
+## 0.1.139
+
+### Patch Changes
+
+- llamaindex@0.9.6
+
 ## 0.1.138
 
 ### Patch Changes

e2e/examples/nextjs-edge-runtime/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/nextjs-edge-runtime-test",
-  "version": "0.1.138",
+  "version": "0.1.141",
   "private": true,
   "scripts": {
     "dev": "next dev",

e2e/examples/nextjs-node-runtime/CHANGELOG.md

@@ -1,5 +1,29 @@
 # @llamaindex/next-node-runtime
 
+## 0.1.8
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+
+## 0.1.7
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+  - @llamaindex/huggingface@0.0.42
+  - @llamaindex/readers@2.0.6
+
+## 0.1.6
+
+### Patch Changes
+
+- llamaindex@0.9.6
+- @llamaindex/huggingface@0.0.41
+- @llamaindex/readers@2.0.5
+
 ## 0.1.5
 
 ### Patch Changes

e2e/examples/nextjs-node-runtime/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/next-node-runtime-test",
-  "version": "0.1.5",
+  "version": "0.1.8",
   "private": true,
   "scripts": {
     "dev": "next dev",

e2e/examples/vite-import-llamaindex/CHANGELOG.md

@@ -1,5 +1,25 @@
 # vite-import-llamaindex
 
+## 0.0.8
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+
+## 0.0.7
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+
+## 0.0.6
+
+### Patch Changes
+
+- llamaindex@0.9.6
+
 ## 0.0.5
 
 ### Patch Changes

e2e/examples/vite-import-llamaindex/package.json

@@ -1,7 +1,7 @@
 {
   "name": "vite-import-llamaindex",
   "private": true,
-  "version": "0.0.5",
+  "version": "0.0.8",
   "type": "module",
   "scripts": {
     "build": "vite build",

e2e/examples/waku-query-engine/CHANGELOG.md

@@ -1,5 +1,26 @@
 # @llamaindex/waku-query-engine-test
 
+## 0.0.142
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+
+## 0.0.141
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - llamaindex@0.9.7
+
+## 0.0.140
+
+### Patch Changes
+
+- llamaindex@0.9.6
+
 ## 0.0.139
 
 ### Patch Changes

e2e/examples/waku-query-engine/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/waku-query-engine-test",
-  "version": "0.0.139",
+  "version": "0.0.142",
   "type": "module",
   "private": true,
   "scripts": {

examples/CHANGELOG.md

@@ -1,5 +1,100 @@
 # examples
 
+## 0.2.7
+
+### Patch Changes
+
+- Updated dependencies [4b49428]
+- Updated dependencies [bbc8c87]
+- Updated dependencies [7ee4968]
+  - @llamaindex/workflow@0.0.14
+  - llamaindex@0.9.8
+  - @llamaindex/deepseek@0.0.2
+  - @llamaindex/fireworks@0.0.2
+  - @llamaindex/together@0.0.2
+  - @llamaindex/jinaai@0.0.2
+  - @llamaindex/google@0.0.14
+
+## 0.2.6
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+  - llamaindex@0.9.7
+  - @llamaindex/cloud@3.0.7
+  - @llamaindex/node-parser@1.0.6
+  - @llamaindex/anthropic@0.2.4
+  - @llamaindex/clip@0.0.42
+  - @llamaindex/cohere@0.0.11
+  - @llamaindex/deepinfra@0.0.42
+  - @llamaindex/google@0.0.13
+  - @llamaindex/groq@0.0.57
+  - @llamaindex/huggingface@0.0.42
+  - @llamaindex/mistral@0.0.11
+  - @llamaindex/mixedbread@0.0.11
+  - @llamaindex/ollama@0.0.46
+  - @llamaindex/openai@0.1.58
+  - @llamaindex/portkey-ai@0.0.39
+  - @llamaindex/replicate@0.0.39
+  - @llamaindex/astra@0.0.11
+  - @llamaindex/azure@0.1.6
+  - @llamaindex/chroma@0.0.11
+  - @llamaindex/firestore@1.0.4
+  - @llamaindex/milvus@0.1.6
+  - @llamaindex/mongodb@0.0.11
+  - @llamaindex/pinecone@0.0.11
+  - @llamaindex/postgres@0.0.39
+  - @llamaindex/qdrant@0.1.6
+  - @llamaindex/upstash@0.0.11
+  - @llamaindex/weaviate@0.0.11
+  - @llamaindex/voyage-ai@1.0.3
+  - @llamaindex/readers@2.0.6
+  - @llamaindex/workflow@0.0.13
+  - @llamaindex/vercel@0.0.17
+  - @llamaindex/vllm@0.0.28
+
+## 0.2.5
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+- Updated dependencies [fd74ba4]
+  - @llamaindex/core@0.5.5
+  - @llamaindex/workflow@0.0.12
+  - @llamaindex/voyage-ai@1.0.2
+  - @llamaindex/cloud@3.0.6
+  - llamaindex@0.9.6
+  - @llamaindex/node-parser@1.0.5
+  - @llamaindex/anthropic@0.2.3
+  - @llamaindex/clip@0.0.41
+  - @llamaindex/cohere@0.0.10
+  - @llamaindex/deepinfra@0.0.41
+  - @llamaindex/google@0.0.12
+  - @llamaindex/huggingface@0.0.41
+  - @llamaindex/mistral@0.0.10
+  - @llamaindex/mixedbread@0.0.10
+  - @llamaindex/ollama@0.0.45
+  - @llamaindex/openai@0.1.57
+  - @llamaindex/portkey-ai@0.0.38
+  - @llamaindex/replicate@0.0.38
+  - @llamaindex/astra@0.0.10
+  - @llamaindex/azure@0.1.5
+  - @llamaindex/chroma@0.0.10
+  - @llamaindex/firestore@1.0.3
+  - @llamaindex/milvus@0.1.5
+  - @llamaindex/mongodb@0.0.10
+  - @llamaindex/pinecone@0.0.10
+  - @llamaindex/postgres@0.0.38
+  - @llamaindex/qdrant@0.1.5
+  - @llamaindex/upstash@0.0.10
+  - @llamaindex/weaviate@0.0.10
+  - @llamaindex/vercel@0.0.16
+  - @llamaindex/readers@2.0.5
+  - @llamaindex/groq@0.0.56
+  - @llamaindex/vllm@0.0.27
+
 ## 0.2.4
 
 ### Patch Changes

examples/agentworkflow/blog_writer.ts

@@ -0,0 +1,83 @@
+import { OpenAI } from "@llamaindex/openai";
+import fs from "fs";
+import {
+  AgentToolCall,
+  AgentToolCallResult,
+  AgentWorkflow,
+  FunctionAgent,
+  FunctionTool,
+} from "llamaindex";
+import os from "os";
+import { z } from "zod";
+
+import { WikipediaTool } from "../wiki";
+const llm = new OpenAI({
+  model: "gpt-4o-mini",
+});
+
+const saveFileTool = FunctionTool.from(
+  ({ content }: { content: string }) => {
+    const filePath = os.tmpdir() + "/report.md";
+    fs.writeFileSync(filePath, content);
+    return `File saved successfully at ${filePath}`;
+  },
+  {
+    name: "saveFile",
+    description:
+      "Save the written content into a file that can be downloaded by the user",
+    parameters: z.object({
+      content: z.string({
+        description: "The content to save into a file",
+      }),
+    }),
+  },
+);
+
+async function main() {
+  const reportAgent = new FunctionAgent({
+    name: "ReportAgent",
+    description:
+      "Responsible for crafting well-written blog posts based on research findings",
+    systemPrompt: `You are a professional writer. Your task is to create an engaging blog post using the research content provided. Once complete, save the post to a file using the saveFile tool.`,
+    tools: [saveFileTool],
+    llm,
+  });
+
+  const researchAgent = new FunctionAgent({
+    name: "ResearchAgent",
+    description:
+      "Responsible for gathering relevant information from the internet",
+    systemPrompt: `You are a research agent. Your role is to gather information from the internet using the provided tools and then transfer this information to the report agent for content creation.`,
+    tools: [new WikipediaTool()],
+    canHandoffTo: [reportAgent],
+    llm,
+  });
+
+  const workflow = new AgentWorkflow({
+    agents: [researchAgent, reportAgent],
+    rootAgent: researchAgent,
+  });
+
+  const context = workflow.run("Write a blog post about history of LLM");
+
+  let finalResult;
+  for await (const event of context) {
+    if (event instanceof AgentToolCall) {
+      console.log(
+        `[Agent ${event.displayName}] executing tool ${event.data.toolName} with parameters ${JSON.stringify(
+          event.data.toolKwargs,
+        )}`,
+      );
+    } else if (event instanceof AgentToolCallResult) {
+      console.log(
+        `[Agent ${event.displayName}] executed tool ${event.data.toolName} with result ${event.data.toolOutput.result}`,
+      );
+    }
+    finalResult = event;
+  }
+  console.log("Final result:", finalResult?.data);
+}
+
+main().catch((error) => {
+  console.error("Error:", error);
+});

examples/agentworkflow/multiple_agents.ts

@@ -0,0 +1,110 @@
+/**
+ * This example shows how to use AgentWorkflow with multiple agents
+ * 1. FetchWeatherAgent - Fetches the weather in a city
+ * 2. TemperatureConverterAgent - Converts the temperature from Fahrenheit to Celsius
+ */
+import { OpenAI } from "@llamaindex/openai";
+import { StopEvent } from "@llamaindex/workflow";
+import {
+  AgentInput,
+  AgentOutput,
+  AgentStream,
+  AgentToolCall,
+  AgentToolCallResult,
+  AgentWorkflow,
+  FunctionAgent,
+  FunctionTool,
+} from "llamaindex";
+import { z } from "zod";
+
+const llm = new OpenAI({
+  model: "gpt-4o-mini",
+});
+
+// Define tools for the agents
+const temperatureConverterTool = FunctionTool.from(
+  ({ temperature }: { temperature: number }) => {
+    return ((temperature - 32) * 5) / 9;
+  },
+  {
+    description: "Convert a temperature from Fahrenheit to Celsius",
+    name: "fahrenheitToCelsius",
+    parameters: z.object({
+      temperature: z.number({
+        description: "The temperature in Fahrenheit",
+      }),
+    }),
+  },
+);
+
+const temperatureFetcherTool = FunctionTool.from(
+  ({ city }: { city: string }) => {
+    const temperature = Math.floor(Math.random() * 58) + 32;
+    return `The current temperature in ${city} is ${temperature}°F`;
+  },
+  {
+    description: "Fetch the temperature (in Fahrenheit) for a city",
+    name: "fetchTemperature",
+    parameters: z.object({
+      city: z.string({
+        description: "The city to fetch the temperature for",
+      }),
+    }),
+  },
+);
+
+// Create agents
+async function multiWeatherAgent() {
+  const converterAgent = new FunctionAgent({
+    name: "TemperatureConverterAgent",
+    description:
+      "An agent that can convert temperatures from Fahrenheit to Celsius.",
+    tools: [temperatureConverterTool],
+    llm,
+  });
+
+  const weatherAgent = new FunctionAgent({
+    name: "FetchWeatherAgent",
+    description: "An agent that can get the weather in a city. ",
+    systemPrompt:
+      "If you can't answer the user question, hand off to other agents.",
+    tools: [temperatureFetcherTool],
+    llm,
+    // Define which next agents can be called next if this agent cannot complete the task
+    // Can be passed as agent name, e.g. "TemperatureConverterAgent"
+    canHandoffTo: [converterAgent],
+  });
+
+  // Create agent workflow with the agents
+  const workflow = new AgentWorkflow({
+    agents: [weatherAgent, converterAgent],
+    rootAgent: weatherAgent,
+    verbose: false,
+  });
+
+  // Ask the agent to get the weather in a city
+  const context = workflow.run(
+    "What is the weather in San Francisco in Celsius?",
+  );
+  // Stream the events
+  for await (const event of context) {
+    // These events might be useful for UI
+    if (
+      event instanceof AgentToolCall ||
+      event instanceof AgentToolCallResult ||
+      event instanceof AgentOutput ||
+      event instanceof AgentInput ||
+      event instanceof StopEvent
+    ) {
+      console.log(event);
+    } else if (event instanceof AgentStream) {
+      for (const chunk of event.data.delta) {
+        process.stdout.write(chunk);
+      }
+    }
+  }
+}
+
+multiWeatherAgent().catch((error) => {
+  console.error("Error:", error);
+});

examples/agentworkflow/single_agent.ts

@@ -0,0 +1,37 @@
+/**
+ * This example shows how to use AgentWorkflow as a single agent with tools
+ */
+import { OpenAI } from "@llamaindex/openai";
+import { AgentWorkflow } from "llamaindex";
+import { getWeatherTool } from "../agent/utils/tools";
+
+const llm = new OpenAI({
+  model: "gpt-4o",
+});
+
+async function singleWeatherAgent() {
+  const workflow = AgentWorkflow.fromTools({
+    tools: [getWeatherTool],
+    llm,
+    verbose: false,
+  });
+
+  const workflowContext = workflow.run(
+    "What's the weather like in San Francisco?",
+  );
+  const sfResult = await workflowContext;
+  // The weather in San Francisco, CA is currently sunny.
+  console.log(`${JSON.stringify(sfResult, null, 2)}`);
+
+  // Reuse the context from the previous run
+  const workflowContext2 = workflow.run("Compare it with California?", {
+    context: workflowContext.data,
+  });
+  const caResult = await workflowContext2;
+  // Both San Francisco and California are currently experiencing sunny weather.
+  console.log(`${JSON.stringify(caResult, null, 2)}`);
+}
+
+singleWeatherAgent().catch((error) => {
+  console.error("Error:", error);
+});

examples/deepseek.ts

@@ -0,0 +1,46 @@
+import { DeepSeekLLM } from "@llamaindex/deepseek";
+
+// process.env.DEEPSEEK_API_KEY is required
+const deepseek = new DeepSeekLLM({
+  apiKey: process.env.DEEPSEEK_API_KEY,
+  model: "deepseek-coder", // or "deepseek-chat"
+});
+
+(async () => {
+  // Example of non-streaming chat
+  const response = await deepseek.chat({
+    messages: [
+      {
+        role: "system",
+        content: "You are an AI assistant",
+      },
+      {
+        role: "user",
+        content: "Tell me about San Francisco",
+      },
+    ],
+    stream: false,
+  });
+  console.log("Response from DeepSeek AI:");
+  console.log(response);
+
+  // Example of streaming chat
+  const generator = await deepseek.chat({
+    messages: [
+      {
+        role: "system",
+        content: "You are an AI assistant",
+      },
+      {
+        role: "user",
+        content: "Write a short poem about San Francisco",
+      },
+    ],
+    stream: true,
+  });
+  console.log("\nStreaming response from DeepSeek AI...");
+  for await (const message of generator) {
+    process.stdout.write(message.delta);
+  }
+  console.log("\n");
+})();

examples/multimodal/jina.ts

@@ -1,10 +1,6 @@
+import { JinaAIEmbedding } from "@llamaindex/jinaai";
 import { SimpleDirectoryReader } from "@llamaindex/readers/directory";
-import {
-  ImageDocument,
-  JinaAIEmbedding,
-  similarity,
-  SimilarityType,
-} from "llamaindex";
+import { ImageDocument, similarity, SimilarityType } from "llamaindex";
 import path from "path";
 
 async function main() {

examples/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/examples",
-  "version": "0.2.4",
+  "version": "0.2.7",
   "private": true,
   "scripts": {
     "lint": "eslint .",
@@ -11,39 +11,43 @@
     "@azure/cosmos": "^4.1.1",
     "@azure/identity": "^4.4.1",
     "@azure/search-documents": "^12.1.0",
-    "@llamaindex/anthropic": "^0.2.2",
-    "@llamaindex/astra": "^0.0.9",
-    "@llamaindex/azure": "^0.1.4",
-    "@llamaindex/chroma": "^0.0.9",
-    "@llamaindex/clip": "^0.0.40",
-    "@llamaindex/cloud": "^3.0.5",
-    "@llamaindex/cohere": "^0.0.9",
-    "@llamaindex/core": "^0.5.4",
-    "@llamaindex/deepinfra": "^0.0.40",
-    "@llamaindex/env": "^0.1.28",
-    "@llamaindex/firestore": "^1.0.2",
-    "@llamaindex/google": "^0.0.11",
-    "@llamaindex/groq": "^0.0.55",
-    "@llamaindex/huggingface": "^0.0.40",
-    "@llamaindex/milvus": "^0.1.4",
-    "@llamaindex/mistral": "^0.0.9",
-    "@llamaindex/mixedbread": "^0.0.9",
-    "@llamaindex/mongodb": "^0.0.9",
-    "@llamaindex/node-parser": "^1.0.4",
-    "@llamaindex/ollama": "^0.0.44",
-    "@llamaindex/openai": "^0.1.56",
-    "@llamaindex/pinecone": "^0.0.9",
-    "@llamaindex/portkey-ai": "^0.0.37",
-    "@llamaindex/postgres": "^0.0.37",
-    "@llamaindex/qdrant": "^0.1.4",
-    "@llamaindex/readers": "^2.0.4",
-    "@llamaindex/replicate": "^0.0.37",
-    "@llamaindex/upstash": "^0.0.9",
-    "@llamaindex/vercel": "^0.0.15",
-    "@llamaindex/vllm": "^0.0.26",
-    "@llamaindex/voyage-ai": "^1.0.1",
-    "@llamaindex/weaviate": "^0.0.9",
-    "@llamaindex/workflow": "^0.0.11",
+    "@llamaindex/anthropic": "^0.2.4",
+    "@llamaindex/astra": "^0.0.11",
+    "@llamaindex/azure": "^0.1.6",
+    "@llamaindex/chroma": "^0.0.11",
+    "@llamaindex/clip": "^0.0.42",
+    "@llamaindex/cloud": "^3.0.7",
+    "@llamaindex/cohere": "^0.0.11",
+    "@llamaindex/core": "^0.5.6",
+    "@llamaindex/deepinfra": "^0.0.42",
+    "@llamaindex/env": "^0.1.29",
+    "@llamaindex/firestore": "^1.0.4",
+    "@llamaindex/google": "^0.0.14",
+    "@llamaindex/groq": "^0.0.57",
+    "@llamaindex/huggingface": "^0.0.42",
+    "@llamaindex/milvus": "^0.1.6",
+    "@llamaindex/mistral": "^0.0.11",
+    "@llamaindex/mixedbread": "^0.0.11",
+    "@llamaindex/mongodb": "^0.0.11",
+    "@llamaindex/node-parser": "^1.0.6",
+    "@llamaindex/ollama": "^0.0.46",
+    "@llamaindex/openai": "^0.1.58",
+    "@llamaindex/pinecone": "^0.0.11",
+    "@llamaindex/portkey-ai": "^0.0.39",
+    "@llamaindex/postgres": "^0.0.39",
+    "@llamaindex/qdrant": "^0.1.6",
+    "@llamaindex/readers": "^2.0.6",
+    "@llamaindex/replicate": "^0.0.39",
+    "@llamaindex/upstash": "^0.0.11",
+    "@llamaindex/vercel": "^0.0.17",
+    "@llamaindex/vllm": "^0.0.28",
+    "@llamaindex/voyage-ai": "^1.0.3",
+    "@llamaindex/weaviate": "^0.0.11",
+    "@llamaindex/workflow": "^0.0.14",
+    "@llamaindex/deepseek": "^0.0.2",
+    "@llamaindex/fireworks": "^0.0.2",
+    "@llamaindex/together": "^0.0.2",
+    "@llamaindex/jinaai": "^0.0.2",
     "@notionhq/client": "^2.2.15",
     "@pinecone-database/pinecone": "^4.0.0",
     "@vercel/postgres": "^0.10.0",
@@ -52,11 +56,11 @@
     "commander": "^12.1.0",
     "dotenv": "^16.4.5",
     "js-tiktoken": "^1.0.14",
-    "llamaindex": "^0.9.5",
+    "llamaindex": "^0.9.8",
     "mongodb": "6.7.0",
-    "pathe": "^1.1.2",
     "postgres": "^3.4.4",
-    "wikipedia": "^2.1.2"
+    "wikipedia": "^2.1.2",
+    "zod": "^3.23.8"
   },
   "devDependencies": {
     "@types/node": "^22.9.0",

examples/qdrantdb/with-gemini.ts

@@ -0,0 +1,33 @@
+import {
+  GEMINI_EMBEDDING_MODEL,
+  GeminiEmbedding,
+  GeminiSession,
+} from "@llamaindex/google";
+import { QdrantVectorStore } from "@llamaindex/qdrant";
+import {
+  Document,
+  storageContextFromDefaults,
+  VectorStoreIndex,
+} from "llamaindex";
+
+const embedding = new GeminiEmbedding({
+  model: GEMINI_EMBEDDING_MODEL.EMBEDDING_001,
+  session: new GeminiSession({
+    apiKey: process.env.GEMINI_API_KEY,
+  }),
+});
+
+async function main() {
+  const docs = [new Document({ text: "Lorem ipsum dolor sit amet" })];
+  const vectorStore = new QdrantVectorStore({
+    url: process.env.QDRANT_URL,
+    apiKey: process.env.QDRANT_API_KEY,
+    embeddingModel: embedding,
+    collectionName: "gemini_test",
+  });
+  const storageContext = await storageContextFromDefaults({ vectorStore });
+  await VectorStoreIndex.fromDocuments(docs, { storageContext });
+  console.log("Inizialized vector store successfully");
+}
+
+void main().catch((err) => console.error(err));

examples/qdrantdb/with-jina.ts

@@ -0,0 +1,27 @@
+import { JinaAIEmbedding } from "@llamaindex/jinaai";
+import { QdrantVectorStore } from "@llamaindex/qdrant";
+import {
+  Document,
+  storageContextFromDefaults,
+  VectorStoreIndex,
+} from "llamaindex";
+
+const embedding = new JinaAIEmbedding({
+  apiKey: process.env.JINAAI_API_KEY,
+  model: "jina-embeddings-v3",
+});
+
+async function main() {
+  const docs = [new Document({ text: "Lorem ipsum dolor sit amet" })];
+  const vectorStore = new QdrantVectorStore({
+    url: process.env.QDRANT_URL,
+    apiKey: process.env.QDRANT_API_KEY,
+    embeddingModel: embedding,
+    collectionName: "jina_test",
+  });
+  const storageContext = await storageContextFromDefaults({ vectorStore });
+  await VectorStoreIndex.fromDocuments(docs, { storageContext });
+  console.log("Inizialized vector store successfully");
+}
+
+void main().catch((err) => console.error(err));

examples/readers/src/pdf_fw.ts

@@ -1,5 +1,6 @@
+import { FireworksEmbedding, FireworksLLM } from "@llamaindex/fireworks";
 import { PDFReader } from "@llamaindex/readers/pdf";
-import { FireworksEmbedding, FireworksLLM, VectorStoreIndex } from "llamaindex";
+import { VectorStoreIndex } from "llamaindex";
 
 import { Settings } from "llamaindex";
 

examples/together-ai.ts

@@ -1,4 +1,4 @@
-import { TogetherEmbedding, TogetherLLM } from "llamaindex";
+import { TogetherEmbedding, TogetherLLM } from "@llamaindex/together";
 
 // process.env.TOGETHER_API_KEY is required
 const together = new TogetherLLM({

examples/together-ai/vector-index.ts

@@ -1,12 +1,7 @@
 import fs from "node:fs/promises";
 
-import {
-  Document,
-  Settings,
-  TogetherEmbedding,
-  TogetherLLM,
-  VectorStoreIndex,
-} from "llamaindex";
+import { TogetherEmbedding, TogetherLLM } from "@llamaindex/together";
+import { Document, Settings, VectorStoreIndex } from "llamaindex";
 
 // Update llm to use TogetherAI
 Settings.llm = new TogetherLLM({

examples/toolsStream.ts

@@ -15,7 +15,7 @@ async function main() {
     tools: [
       {
         metadata: {
-          name: "wikipedia_tool",
+          name: "wikipedia_search",
           description: "A tool that uses a query engine to search Wikipedia.",
           parameters: {
             type: "object",

examples/wiki.ts

@@ -14,7 +14,7 @@ type WikipediaToolParams = {
 };
 
 const DEFAULT_META_DATA: ToolMetadata<JSONSchemaType<WikipediaParameter>> = {
-  name: "wikipedia_tool",
+  name: "wikipedia_search",
   description: "A tool that uses a query engine to search Wikipedia.",
   parameters: {
     type: "object",

packages/autotool/CHANGELOG.md

@@ -1,5 +1,25 @@
 # @llamaindex/autotool
 
+## 6.0.8
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+
+## 6.0.7
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+
+## 6.0.6
+
+### Patch Changes
+
+- llamaindex@0.9.6
+
 ## 6.0.5
 
 ### Patch Changes

packages/autotool/examples/01_node/CHANGELOG.md

@@ -1,5 +1,28 @@
 # @llamaindex/autotool-01-node-example
 
+## 0.0.89
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+  - @llamaindex/autotool@6.0.8
+
+## 0.0.88
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+  - @llamaindex/autotool@6.0.7
+
+## 0.0.87
+
+### Patch Changes
+
+- llamaindex@0.9.6
+- @llamaindex/autotool@6.0.6
+
 ## 0.0.86
 
 ### Patch Changes

packages/autotool/examples/01_node/package.json

@@ -13,5 +13,5 @@
   "scripts": {
     "start": "node --import tsx --import @llamaindex/autotool/node ./src/index.ts"
   },
-  "version": "0.0.86"
+  "version": "0.0.89"
 }

packages/autotool/examples/02_nextjs/CHANGELOG.md

@@ -1,5 +1,28 @@
 # @llamaindex/autotool-02-next-example
 
+## 0.1.133
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+  - @llamaindex/autotool@6.0.8
+
+## 0.1.132
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+  - @llamaindex/autotool@6.0.7
+
+## 0.1.131
+
+### Patch Changes
+
+- llamaindex@0.9.6
+- @llamaindex/autotool@6.0.6
+
 ## 0.1.130
 
 ### Patch Changes

packages/autotool/examples/02_nextjs/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/autotool-02-next-example",
   "private": true,
-  "version": "0.1.130",
+  "version": "0.1.133",
   "scripts": {
     "dev": "next dev",
     "build": "next build",

packages/autotool/package.json

@@ -6,7 +6,7 @@
     "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
     "directory": "packages/autotool"
   },
-  "version": "6.0.5",
+  "version": "6.0.8",
   "description": "auto transpile your JS function to LLM Agent compatible",
   "files": [
     "dist",

packages/cloud/CHANGELOG.md

@@ -1,5 +1,20 @@
 # @llamaindex/cloud
 
+## 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

packages/cloud/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/cloud",
-  "version": "3.0.5",
+  "version": "3.0.7",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/community/CHANGELOG.md

@@ -1,5 +1,21 @@
 # @llamaindex/community
 
+## 0.0.88
+
+### Patch Changes
+
+- e28c29d: Added Llama 3.3 70B Instruct support
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+
+## 0.0.87
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+
 ## 0.0.86
 
 ### Patch Changes

packages/community/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/community",
   "description": "Community package for LlamaIndexTS",
-  "version": "0.0.86",
+  "version": "0.0.88",
   "type": "module",
   "types": "dist/type/index.d.ts",
   "main": "dist/cjs/index.js",

packages/community/src/llm/bedrock/index.ts

@@ -81,6 +81,7 @@ export const BEDROCK_MODELS = {
   META_LLAMA3_2_3B_INSTRUCT: "meta.llama3-2-3b-instruct-v1:0",
   META_LLAMA3_2_11B_INSTRUCT: "meta.llama3-2-11b-instruct-v1:0",
   META_LLAMA3_2_90B_INSTRUCT: "meta.llama3-2-90b-instruct-v1:0",
+  META_LLAMA3_3_70B_INSTRUCT: "meta.llama3-3-70b-instruct-v1:0",
   MISTRAL_7B_INSTRUCT: "mistral.mistral-7b-instruct-v0:2",
   MISTRAL_MIXTRAL_7B_INSTRUCT: "mistral.mixtral-8x7b-instruct-v0:1",
   MISTRAL_MIXTRAL_LARGE_2402: "mistral.mistral-large-2402-v1:0",
@@ -107,6 +108,7 @@ export const INFERENCE_BEDROCK_MODELS = {
   US_META_LLAMA_3_2_3B_INSTRUCT: "us.meta.llama3-2-3b-instruct-v1:0",
   US_META_LLAMA_3_2_11B_INSTRUCT: "us.meta.llama3-2-11b-instruct-v1:0",
   US_META_LLAMA_3_2_90B_INSTRUCT: "us.meta.llama3-2-90b-instruct-v1:0",
+  US_META_LLAMA_3_3_70B_INSTRUCT: "us.meta.llama3-3-70b-instruct-v1:0",
   US_AMAZON_NOVA_PRO_1: "us.amazon.nova-pro-v1:0",
   US_AMAZON_NOVA_LITE_1: "us.amazon.nova-lite-v1:0",
   US_AMAZON_NOVA_MICRO_1: "us.amazon.nova-micro-v1:0",
@@ -151,6 +153,8 @@ export const INFERENCE_TO_BEDROCK_MAP: Record<
     BEDROCK_MODELS.META_LLAMA3_2_11B_INSTRUCT,
   [INFERENCE_BEDROCK_MODELS.US_META_LLAMA_3_2_90B_INSTRUCT]:
     BEDROCK_MODELS.META_LLAMA3_2_90B_INSTRUCT,
+  [INFERENCE_BEDROCK_MODELS.US_META_LLAMA_3_3_70B_INSTRUCT]:
+    BEDROCK_MODELS.META_LLAMA3_3_70B_INSTRUCT,
 
   [INFERENCE_BEDROCK_MODELS.US_AMAZON_NOVA_PRO_1]:
     BEDROCK_MODELS.AMAZON_NOVA_PRO_1,
@@ -212,6 +216,7 @@ const CHAT_ONLY_MODELS = {
   [BEDROCK_MODELS.META_LLAMA3_2_3B_INSTRUCT]: 131000,
   [BEDROCK_MODELS.META_LLAMA3_2_11B_INSTRUCT]: 128000,
   [BEDROCK_MODELS.META_LLAMA3_2_90B_INSTRUCT]: 128000,
+  [BEDROCK_MODELS.META_LLAMA3_3_70B_INSTRUCT]: 128000,
   [BEDROCK_MODELS.MISTRAL_7B_INSTRUCT]: 32000,
   [BEDROCK_MODELS.MISTRAL_MIXTRAL_7B_INSTRUCT]: 32000,
   [BEDROCK_MODELS.MISTRAL_MIXTRAL_LARGE_2402]: 32000,
@@ -252,6 +257,7 @@ export const STREAMING_MODELS = new Set([
   BEDROCK_MODELS.META_LLAMA3_2_3B_INSTRUCT,
   BEDROCK_MODELS.META_LLAMA3_2_11B_INSTRUCT,
   BEDROCK_MODELS.META_LLAMA3_2_90B_INSTRUCT,
+  BEDROCK_MODELS.META_LLAMA3_3_70B_INSTRUCT,
   BEDROCK_MODELS.MISTRAL_7B_INSTRUCT,
   BEDROCK_MODELS.MISTRAL_MIXTRAL_7B_INSTRUCT,
   BEDROCK_MODELS.MISTRAL_MIXTRAL_LARGE_2402,
@@ -273,6 +279,7 @@ export const TOOL_CALL_MODELS: BEDROCK_MODELS[] = [
   BEDROCK_MODELS.META_LLAMA3_2_3B_INSTRUCT,
   BEDROCK_MODELS.META_LLAMA3_2_11B_INSTRUCT,
   BEDROCK_MODELS.META_LLAMA3_2_90B_INSTRUCT,
+  BEDROCK_MODELS.META_LLAMA3_3_70B_INSTRUCT,
   BEDROCK_MODELS.AMAZON_NOVA_PRO_1,
   BEDROCK_MODELS.AMAZON_NOVA_LITE_1,
   BEDROCK_MODELS.AMAZON_NOVA_MICRO_1,
@@ -318,6 +325,7 @@ export const BEDROCK_MODEL_MAX_TOKENS: Partial<Record<BEDROCK_MODELS, number>> =
     [BEDROCK_MODELS.META_LLAMA3_2_3B_INSTRUCT]: 2048,
     [BEDROCK_MODELS.META_LLAMA3_2_11B_INSTRUCT]: 2048,
     [BEDROCK_MODELS.META_LLAMA3_2_90B_INSTRUCT]: 2048,
+    [BEDROCK_MODELS.META_LLAMA3_3_70B_INSTRUCT]: 2048,
   };
 
 const DEFAULT_BEDROCK_PARAMS = {

packages/core/CHANGELOG.md

@@ -1,5 +1,19 @@
 # @llamaindex/core
 
+## 0.5.6
+
+### Patch Changes
+
+- beb922b: Fix edge runtime builds by adding missing packages to env package. Make gpt-tokenizer optional for llamaindex to reduce package size.
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+
+## 0.5.5
+
+### Patch Changes
+
+- 5668970: feat: Support AgentWorkflow
+
 ## 0.5.4
 
 ### Patch Changes

packages/core/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/core",
   "type": "module",
-  "version": "0.5.4",
+  "version": "0.5.6",
   "description": "LlamaIndex Core Module",
   "exports": {
     "./agent": {

packages/core/src/llms/type.ts

@@ -215,6 +215,10 @@ export type ToolMetadata<
    * @link https://json-schema.org/understanding-json-schema
    */
   parameters?: Parameters;
+  /**
+   * Whether the tool requires workflow context to be passed in.
+   */
+  requireContext?: boolean;
 };
 
 /**

packages/core/src/tools/function-tool.ts

@@ -59,14 +59,28 @@ export class FunctionTool<T, R extends JSONValue | Promise<JSONValue>>
   }
 
   call = (input: T) => {
+    if (this.#metadata.requireContext) {
+      const inputWithContext = input as Record<string, unknown>;
+      if (!inputWithContext.context) {
+        throw new Error(
+          "Tool call requires context, but context parameter is missing",
+        );
+      }
+    }
     if (this.#zodType) {
       const result = this.#zodType.safeParse(input);
       if (result.success) {
-        return this.#fn.call(null, result.data);
+        if (this.#metadata.requireContext) {
+          const { context } = input as Record<string, unknown>;
+          return this.#fn.call(null, { context, ...result.data });
+        } else {
+          return this.#fn.call(null, result.data);
+        }
       } else {
         console.warn(result.error.errors);
       }
     }
+
     return this.#fn.call(null, input);
   };
 }

packages/env/CHANGELOG.md

@@ -1,5 +1,11 @@
 # @llamaindex/env
 
+## 0.1.29
+
+### Patch Changes
+
+- beb922b: Fix edge runtime builds by adding missing packages to env package. Make gpt-tokenizer optional for llamaindex to reduce package size.
+
 ## 0.1.28
 
 ### Patch Changes

packages/env/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/env",
   "description": "environment wrapper, supports all JS environment including node, deno, bun, edge runtime, and cloudflare worker",
-  "version": "0.1.28",
+  "version": "0.1.29",
   "type": "module",
   "types": "dist/index.d.ts",
   "module": "dist/index.js",
@@ -120,31 +120,22 @@
     "@types/node": "^22.9.0",
     "@types/readable-stream": "^4.0.15",
     "bunchee": "6.3.4",
-    "gpt-tokenizer": "^2.6.2",
-    "pathe": "^1.1.2",
     "vitest": "^2.1.5"
   },
-  "peerDependencies": {
+  "dependencies": {
+    "pathe": "^1.1.2",
     "@aws-crypto/sha256-js": "^5.2.0",
+    "js-tiktoken": "^1.0.12"
+  },
+  "peerDependencies": {
     "@huggingface/transformers": "^3.0.2",
-    "gpt-tokenizer": "^2.5.0",
-    "js-tiktoken": "^1.0.12",
-    "pathe": "^1.1.2"
+    "gpt-tokenizer": "^2.5.0"
   },
   "peerDependenciesMeta": {
-    "@aws-crypto/sha256-js": {
-      "optional": true
-    },
     "@huggingface/transformers": {
       "optional": true
     },
-    "pathe": {
-      "optional": true
-    },
-    "tiktoken": {
-      "optional": true
-    },
-    "js-tiktoken": {
+    "gpt-tokenizer": {
       "optional": true
     }
   }

packages/env/src/internal/tokenizers/node.ts

@@ -1,20 +1,48 @@
+import { getEncoding } from "js-tiktoken";
 import type { Tokenizer } from "./types.js";
 import { Tokenizers } from "./types.js";
 
-import cl100kBase from "gpt-tokenizer";
+function tryLoadGptTokenizer() {
+  try {
+    // eslint-disable-next-line @typescript-eslint/no-require-imports
+    return require("gpt-tokenizer"); // using require for CommonJS compatibility
+  } catch (e) {
+    return null;
+  }
+}
+
+const gptTokenizerModule = tryLoadGptTokenizer();
 
 class TokenizerSingleton {
   #defaultTokenizer: Tokenizer;
 
   constructor() {
-    this.#defaultTokenizer = {
-      encode: (text: string): Uint32Array => {
-        return new Uint32Array(cl100kBase.encode(text));
-      },
-      decode: (tokens: Uint32Array) => {
-        return cl100kBase.decode(tokens);
-      },
-    };
+    // Use gpt-tokenizer if available, otherwise use js-tiktoken
+    if (gptTokenizerModule) {
+      this.#defaultTokenizer = {
+        encode: (text: string): Uint32Array => {
+          return new Uint32Array(gptTokenizerModule.encode(text));
+        },
+        decode: (tokens: Uint32Array): string => {
+          return gptTokenizerModule.decode(Array.from(tokens));
+        },
+      };
+    } else {
+      // Fall back to js-tiktoken which is always available
+      // Note: js-tiktoken it's 60x slower than gpt-tokenizer
+      const encoding = getEncoding("cl100k_base");
+      this.#defaultTokenizer = {
+        encode: (text: string) => {
+          return new Uint32Array(encoding.encode(text));
+        },
+        decode: (tokens: Uint32Array) => {
+          const numberArray = Array.from(tokens);
+          const text = encoding.decode(numberArray);
+          const uint8Array = new TextEncoder().encode(text);
+          return new TextDecoder().decode(uint8Array);
+        },
+      };
+    }
   }
 
   tokenizer(encoding?: Tokenizers): Tokenizer {

packages/experimental/CHANGELOG.md

@@ -1,5 +1,25 @@
 # @llamaindex/experimental
 
+## 0.0.158
+
+### Patch Changes
+
+- Updated dependencies [bbc8c87]
+  - llamaindex@0.9.8
+
+## 0.0.157
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - llamaindex@0.9.7
+
+## 0.0.156
+
+### Patch Changes
+
+- llamaindex@0.9.6
+
 ## 0.0.155
 
 ### Patch Changes

packages/experimental/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/experimental",
   "description": "Experimental package for LlamaIndexTS",
-  "version": "0.0.155",
+  "version": "0.0.158",
   "type": "module",
   "types": "dist/type/index.d.ts",
   "main": "dist/cjs/index.js",
@@ -55,12 +55,10 @@
     "dev": "concurrently \"pnpm run build:esm --watch\" \"pnpm run build:cjs --watch\" \"pnpm run build:type --watch\""
   },
   "devDependencies": {
-    "@aws-crypto/sha256-js": "^5.2.0",
     "@swc/cli": "^0.5.0",
     "@swc/core": "^1.9.2",
     "@types/jsonpath": "^0.2.4",
-    "concurrently": "^9.1.0",
-    "pathe": "^1.1.2"
+    "concurrently": "^9.1.0"
   },
   "dependencies": {
     "@types/lodash": "^4.17.7",

packages/llamaindex/CHANGELOG.md

@@ -1,5 +1,37 @@
 # llamaindex
 
+## 0.9.8
+
+### Patch Changes
+
+- bbc8c87: fix: prefer using embedding model from vector store
+- Updated dependencies [4b49428]
+  - @llamaindex/workflow@0.0.14
+
+## 0.9.7
+
+### Patch Changes
+
+- beb922b: Fix edge runtime builds by adding missing packages to env package. Make gpt-tokenizer optional for llamaindex to reduce package size.
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+  - @llamaindex/cloud@3.0.7
+  - @llamaindex/node-parser@1.0.6
+  - @llamaindex/openai@0.1.58
+  - @llamaindex/workflow@0.0.13
+
+## 0.9.6
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+  - @llamaindex/workflow@0.0.12
+  - @llamaindex/cloud@3.0.6
+  - @llamaindex/node-parser@1.0.5
+  - @llamaindex/openai@0.1.57
+
 ## 0.9.5
 
 ### Patch Changes

packages/llamaindex/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llamaindex",
-  "version": "0.9.5",
+  "version": "0.9.8",
   "license": "MIT",
   "type": "module",
   "keywords": [
@@ -25,12 +25,12 @@
     "@llamaindex/env": "workspace:*",
     "@llamaindex/node-parser": "workspace:*",
     "@llamaindex/openai": "workspace:*",
+    "@llamaindex/workflow": "workspace:*",
     "@types/lodash": "^4.17.7",
     "@types/node": "^22.9.0",
     "ajv": "^8.17.1",
     "lodash": "^4.17.21",
-    "magic-bytes.js": "^1.10.0",
-    "gpt-tokenizer": "^2.6.2"
+    "magic-bytes.js": "^1.10.0"
   },
   "devDependencies": {
     "@swc/cli": "^0.5.0",

packages/llamaindex/src/embeddings/OpenAIEmbedding.ts

@@ -1 +0,0 @@
-export * from "@llamaindex/openai";

packages/llamaindex/src/embeddings/index.ts

@@ -1,5 +0,0 @@
-export * from "@llamaindex/core/embeddings";
-export { FireworksEmbedding } from "./fireworks.js";
-export * from "./JinaAIEmbedding.js";
-export * from "./OpenAIEmbedding.js";
-export { TogetherEmbedding } from "./together.js";

packages/llamaindex/src/index.edge.ts

@@ -22,6 +22,7 @@ export {
 export * from "@llamaindex/core/agent";
 export * from "@llamaindex/core/chat-engine";
 export * from "@llamaindex/core/data-structs";
+export * from "@llamaindex/core/embeddings";
 export {
   CallbackManager,
   DEFAULT_BASE_URL,
@@ -65,9 +66,10 @@ export * from "@llamaindex/core/storage/doc-store";
 export * from "@llamaindex/core/storage/index-store";
 export * from "@llamaindex/core/storage/kv-store";
 export * from "@llamaindex/core/utils";
+export * from "@llamaindex/openai";
+export * from "@llamaindex/workflow/agent";
 export * from "./agent/index.js";
 export * from "./cloud/index.js";
-export * from "./embeddings/index.js";
 export * from "./engines/chat/index.js";
 export * from "./engines/query/index.js";
 export * from "./evaluation/index.js";
@@ -75,7 +77,6 @@ export * from "./extractors/index.js";
 export * from "./indices/index.js";
 export * from "./ingestion/index.js";
 export { imageToDataUrl } from "./internal/utils.js";
-export * from "./llm/index.js";
 export * from "./node-parser.js";
 export * from "./objects/index.js";
 export * from "./OutputParser.js";

packages/llamaindex/src/index.ts

@@ -1,8 +1,5 @@
 export * from "./index.edge.js";
 
-// TODO: clean up, move to jinaai package
-export { JinaAIEmbedding } from "./embeddings/JinaAIEmbedding.js";
-
 // Don't export file-system stores for non-node.js runtime on top level,
 //  as we cannot guarantee that they will work in other environments
 export * from "./storage/index.js";

packages/llamaindex/src/indices/vectorStore/index.ts

@@ -175,7 +175,7 @@ export class VectorStoreIndex extends BaseIndex<IndexDict> {
     for (const type in nodeMap) {
       const nodes = nodeMap[type as ModalityType];
       const embedModel =
-        this.embedModel ?? this.vectorStores[type as ModalityType]?.embedModel;
+        this.vectorStores[type as ModalityType]?.embedModel ?? this.embedModel;
       if (embedModel && nodes) {
         await embedModel(nodes, {
           logProgress: options?.logProgress,

packages/llamaindex/src/llm/index.ts

@@ -1,4 +0,0 @@
-export { DeepSeekLLM } from "./deepseek.js";
-export { FireworksLLM } from "./fireworks.js";
-export * from "./openai.js";
-export { TogetherLLM } from "./together.js";

packages/llamaindex/src/llm/openai.ts

@@ -1 +0,0 @@
-export * from "@llamaindex/openai";

packages/llamaindex/tests/MetadataExtractors.test.ts

@@ -1,13 +1,11 @@
 import { Document } from "@llamaindex/core/schema";
-import { Settings } from "llamaindex";
-import { OpenAIEmbedding } from "llamaindex/embeddings/index";
+import { OpenAI, OpenAIEmbedding, Settings } from "llamaindex";
 import {
   KeywordExtractor,
   QuestionsAnsweredExtractor,
   SummaryExtractor,
   TitleExtractor,
 } from "llamaindex/extractors/index";
-import { OpenAI } from "llamaindex/llm/openai";
 import { SentenceSplitter } from "llamaindex/node-parser";
 import { afterAll, beforeAll, describe, expect, test, vi } from "vitest";
 import {

packages/llamaindex/tests/Selectors.test.ts

@@ -1,7 +1,7 @@
 import { describe, expect, test } from "vitest";
 // from unittest.mock import patch
 
-import { OpenAI } from "llamaindex/llm/index";
+import { OpenAI } from "llamaindex";
 import { LLMSingleSelector } from "llamaindex/selectors/index";
 import { mocStructuredkLlmGeneration } from "./utility/mockOpenAI.js";
 

packages/llamaindex/tests/indices/SummaryIndex.test.ts

@@ -20,13 +20,13 @@ describe("SummaryIndex", () => {
   let storageContext: StorageContext;
 
   beforeAll(async () => {
-    storageContext = await storageContextFromDefaults({
-      persistDir: testDir,
-    });
-
     const embedModel = new OpenAIEmbedding();
     mockEmbeddingModel(embedModel);
     Settings.embedModel = embedModel;
+
+    storageContext = await storageContextFromDefaults({
+      persistDir: testDir,
+    });
   });
 
   afterAll(() => {

packages/llamaindex/tests/indices/VectorStoreIndex.test.ts

@@ -9,7 +9,7 @@ import { DocStoreStrategy } from "llamaindex/ingestion/strategies/index";
 import { mkdtemp, rm } from "node:fs/promises";
 import { tmpdir } from "node:os";
 import { join } from "node:path";
-import { afterAll, beforeAll, describe, expect, test, vi } from "vitest";
+import { afterAll, beforeAll, describe, expect, it, test, vi } from "vitest";
 
 const testDir = await mkdtemp(join(tmpdir(), "test-"));
 
@@ -24,6 +24,10 @@ describe("VectorStoreIndex", () => {
   ) => Promise<Array<number>>;
 
   beforeAll(async () => {
+    const embedModel = new OpenAIEmbedding();
+    mockEmbeddingModel(embedModel);
+    Settings.embedModel = embedModel;
+
     storageContext = await mockStorageContext(testDir);
     testStrategy = async (
       strategy: DocStoreStrategy,
@@ -41,10 +45,6 @@ describe("VectorStoreIndex", () => {
       }
       return entries;
     };
-
-    const embedModel = new OpenAIEmbedding();
-    mockEmbeddingModel(embedModel);
-    Settings.embedModel = embedModel;
   });
 
   afterAll(() => {
@@ -65,3 +65,28 @@ describe("VectorStoreIndex", () => {
     await rm(testDir, { recursive: true });
   });
 });
+
+describe("[VectorStoreIndex] use embedding model", () => {
+  it("should use embedding model passed in options instead of Settings", async () => {
+    const documents = [new Document({ text: "This needs to be embedded" })];
+
+    // Create mock embedding models
+    const settingsEmbedModel = new OpenAIEmbedding();
+    const customEmbedModel = new OpenAIEmbedding();
+
+    // Mock the embedding models using the utility function
+    mockEmbeddingModel(settingsEmbedModel);
+    mockEmbeddingModel(customEmbedModel);
+
+    // Add spies to track calls
+    const settingsSpy = vi.spyOn(settingsEmbedModel, "getTextEmbeddings");
+    const customSpy = vi.spyOn(customEmbedModel, "getTextEmbeddings");
+
+    Settings.embedModel = settingsEmbedModel;
+
+    const storageContext = await mockStorageContext(testDir, customEmbedModel); // setup custom embedding model
+    await VectorStoreIndex.fromDocuments(documents, { storageContext });
+    expect(customSpy).toHaveBeenCalled();
+    expect(settingsSpy).not.toHaveBeenCalled();
+  });
+});

packages/llamaindex/tests/utility/mockOpenAI.ts

@@ -1,8 +1,6 @@
 import type { CallbackManager } from "@llamaindex/core/global";
-import type { LLMChatParamsBase } from "llamaindex";
-import { Settings } from "llamaindex";
-import type { OpenAIEmbedding } from "llamaindex/embeddings/OpenAIEmbedding";
-import { OpenAI } from "llamaindex/llm/openai";
+import type { LLMChatParamsBase, OpenAIEmbedding } from "llamaindex";
+import { OpenAI, Settings } from "llamaindex";
 import { vi } from "vitest";
 
 export const DEFAULT_LLM_TEXT_OUTPUT = "MOCK_TOKEN_1-MOCK_TOKEN_2";

packages/llamaindex/tests/utility/mockStorageContext.ts

@@ -1,14 +1,27 @@
-import { OpenAIEmbedding, storageContextFromDefaults } from "llamaindex";
+import {
+  BaseEmbedding,
+  OpenAIEmbedding,
+  storageContextFromDefaults,
+} from "llamaindex";
 
 import { mockEmbeddingModel } from "./mockOpenAI.js";
 
-export async function mockStorageContext(testDir: string) {
+export async function mockStorageContext(
+  testDir: string,
+  embeddingModel?: BaseEmbedding,
+) {
   const storageContext = await storageContextFromDefaults({
     persistDir: testDir,
   });
   for (const store of Object.values(storageContext.vectorStores)) {
-    store.embedModel = new OpenAIEmbedding();
-    mockEmbeddingModel(store.embedModel as OpenAIEmbedding);
+    if (embeddingModel) {
+      // use embeddingModel if it is passed in
+      store.embedModel = embeddingModel;
+    } else {
+      // mock an embedding model for testing
+      store.embedModel = new OpenAIEmbedding();
+      mockEmbeddingModel(store.embedModel as OpenAIEmbedding);
+    }
   }
   return storageContext;
 }

packages/node-parser/CHANGELOG.md

@@ -1,5 +1,20 @@
 # @llamaindex/node-parser
 
+## 1.0.6
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+
+## 1.0.5
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+
 ## 1.0.4
 
 ### Patch Changes

packages/node-parser/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/node-parser",
-  "version": "1.0.4",
+  "version": "1.0.6",
   "description": "Node parser for LlamaIndex",
   "type": "module",
   "exports": {

packages/providers/anthropic/CHANGELOG.md

@@ -1,5 +1,20 @@
 # @llamaindex/anthropic
 
+## 0.2.4
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+
+## 0.2.3
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+
 ## 0.2.2
 
 ### Patch Changes

packages/providers/anthropic/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/anthropic",
   "description": "Anthropic Adapter for LlamaIndex",
-  "version": "0.2.2",
+  "version": "0.2.4",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/clip/CHANGELOG.md

@@ -1,5 +1,22 @@
 # @llamaindex/clip
 
+## 0.0.42
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+  - @llamaindex/openai@0.1.58
+
+## 0.0.41
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+  - @llamaindex/openai@0.1.57
+
 ## 0.0.40
 
 ### Patch Changes

packages/providers/clip/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/clip",
   "description": "Clip Embedding Adapter for LlamaIndex",
-  "version": "0.0.40",
+  "version": "0.0.42",
   "type": "module",
   "types": "dist/index.d.ts",
   "main": "dist/index.cjs",

packages/providers/cohere/CHANGELOG.md

@@ -1,5 +1,20 @@
 # @llamaindex/cohere
 
+## 0.0.11
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+
+## 0.0.10
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+
 ## 0.0.9
 
 ### Patch Changes

packages/providers/cohere/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/cohere",
   "description": "Cohere Adapter for LlamaIndex",
-  "version": "0.0.9",
+  "version": "0.0.11",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/deepinfra/CHANGELOG.md

@@ -1,5 +1,22 @@
 # @llamaindex/deepinfra
 
+## 0.0.42
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+  - @llamaindex/openai@0.1.58
+
+## 0.0.41
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+  - @llamaindex/openai@0.1.57
+
 ## 0.0.40
 
 ### Patch Changes

packages/providers/deepinfra/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/deepinfra",
   "description": "Deepinfra Adapter for LlamaIndex",
-  "version": "0.0.40",
+  "version": "0.0.42",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/deepseek/CHANGELOG.md

@@ -0,0 +1,7 @@
+# @llamaindex/deepseek
+
+## 0.0.2
+
+### Patch Changes
+
+- bbc8c87: fix: prefer using embedding model from vector store

packages/providers/deepseek/package.json

@@ -0,0 +1,39 @@
+{
+  "name": "@llamaindex/deepseek",
+  "description": "DeepSeek Adapter for LlamaIndex",
+  "version": "0.0.2",
+  "type": "module",
+  "main": "./dist/index.cjs",
+  "module": "./dist/index.js",
+  "exports": {
+    ".": {
+      "require": {
+        "types": "./dist/index.d.cts",
+        "default": "./dist/index.cjs"
+      },
+      "import": {
+        "types": "./dist/index.d.ts",
+        "default": "./dist/index.js"
+      }
+    }
+  },
+  "files": [
+    "dist"
+  ],
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
+    "directory": "packages/providers/deepseek"
+  },
+  "scripts": {
+    "build": "bunchee",
+    "dev": "bunchee --watch"
+  },
+  "devDependencies": {
+    "bunchee": "6.3.4"
+  },
+  "dependencies": {
+    "@llamaindex/env": "workspace:*",
+    "@llamaindex/openai": "workspace:*"
+  }
+}

packages/providers/deepseek/src/index.ts

@@ -0,0 +1 @@
+export * from "./llm";

packages/providers/deepseek/tsconfig.json

@@ -0,0 +1,19 @@
+{
+  "extends": "../../../tsconfig.json",
+  "compilerOptions": {
+    "target": "ESNext",
+    "module": "ESNext",
+    "moduleResolution": "bundler",
+    "outDir": "./lib",
+    "tsBuildInfoFile": "./lib/.tsbuildinfo"
+  },
+  "include": ["./src"],
+  "references": [
+    {
+      "path": "../openai/tsconfig.json"
+    },
+    {
+      "path": "../../env/tsconfig.json"
+    }
+  ]
+}

packages/providers/fireworks/CHANGELOG.md

@@ -0,0 +1,7 @@
+# @llamaindex/fireworks
+
+## 0.0.2
+
+### Patch Changes
+
+- bbc8c87: fix: prefer using embedding model from vector store

packages/providers/fireworks/package.json

@@ -0,0 +1,39 @@
+{
+  "name": "@llamaindex/fireworks",
+  "description": "Fireworks Adapter for LlamaIndex",
+  "version": "0.0.2",
+  "type": "module",
+  "main": "./dist/index.cjs",
+  "module": "./dist/index.js",
+  "exports": {
+    ".": {
+      "require": {
+        "types": "./dist/index.d.cts",
+        "default": "./dist/index.cjs"
+      },
+      "import": {
+        "types": "./dist/index.d.ts",
+        "default": "./dist/index.js"
+      }
+    }
+  },
+  "files": [
+    "dist"
+  ],
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
+    "directory": "packages/providers/fireworks"
+  },
+  "scripts": {
+    "build": "bunchee",
+    "dev": "bunchee --watch"
+  },
+  "devDependencies": {
+    "bunchee": "6.3.4"
+  },
+  "dependencies": {
+    "@llamaindex/env": "workspace:*",
+    "@llamaindex/openai": "workspace:*"
+  }
+}

packages/providers/fireworks/src/index.ts

@@ -0,0 +1,2 @@
+export * from "./embedding";
+export * from "./llm";

packages/providers/fireworks/tsconfig.json

@@ -0,0 +1,19 @@
+{
+  "extends": "../../../tsconfig.json",
+  "compilerOptions": {
+    "target": "ESNext",
+    "module": "ESNext",
+    "moduleResolution": "bundler",
+    "outDir": "./lib",
+    "tsBuildInfoFile": "./lib/.tsbuildinfo"
+  },
+  "include": ["./src"],
+  "references": [
+    {
+      "path": "../openai/tsconfig.json"
+    },
+    {
+      "path": "../../env/tsconfig.json"
+    }
+  ]
+}

packages/providers/google/CHANGELOG.md

@@ -1,5 +1,26 @@
 # @llamaindex/google
 
+## 0.0.14
+
+### Patch Changes
+
+- 7ee4968: Add Gemini 2.0 Pro Experimental
+
+## 0.0.13
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+
+## 0.0.12
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+
 ## 0.0.11
 
 ### Patch Changes

packages/providers/google/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/google",
   "description": "Google Adapter for LlamaIndex",
-  "version": "0.0.11",
+  "version": "0.0.14",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/google/src/base.ts

@@ -57,6 +57,7 @@ export const GEMINI_MODEL_INFO_MAP: Record<GEMINI_MODEL, GeminiModelInfo> = {
   [GEMINI_MODEL.GEMINI_2_0_FLASH]: { contextWindow: 10 ** 6 },
   [GEMINI_MODEL.GEMINI_2_0_FLASH_LITE_PREVIEW]: { contextWindow: 10 ** 6 },
   [GEMINI_MODEL.GEMINI_2_0_FLASH_THINKING_EXP]: { contextWindow: 32768 },
+  [GEMINI_MODEL.GEMINI_2_0_PRO_EXPERIMENTAL]: { contextWindow: 2 * 10 ** 6 },
 };
 
 const SUPPORT_TOOL_CALL_MODELS: GEMINI_MODEL[] = [
@@ -72,6 +73,7 @@ const SUPPORT_TOOL_CALL_MODELS: GEMINI_MODEL[] = [
   GEMINI_MODEL.GEMINI_PRO_1_5_FLASH_LATEST,
   GEMINI_MODEL.GEMINI_2_0_FLASH_EXPERIMENTAL,
   GEMINI_MODEL.GEMINI_2_0_FLASH,
+  GEMINI_MODEL.GEMINI_2_0_PRO_EXPERIMENTAL,
 ];
 
 const DEFAULT_GEMINI_PARAMS = {

packages/providers/google/src/types.ts

@@ -68,6 +68,7 @@ export enum GEMINI_MODEL {
   GEMINI_2_0_FLASH = "gemini-2.0-flash-001",
   GEMINI_2_0_FLASH_LITE_PREVIEW = "gemini-2.0-flash-lite-preview-02-05",
   GEMINI_2_0_FLASH_THINKING_EXP = "gemini-2.0-flash-thinking-exp-01-21",
+  GEMINI_2_0_PRO_EXPERIMENTAL = "gemini-2.0-pro-exp-02-05",
 }
 
 export interface GeminiModelInfo {

packages/providers/groq/CHANGELOG.md

@@ -1,5 +1,19 @@
 # @llamaindex/groq
 
+## 0.0.57
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/openai@0.1.58
+
+## 0.0.56
+
+### Patch Changes
+
+- @llamaindex/openai@0.1.57
+
 ## 0.0.55
 
 ### Patch Changes

packages/providers/groq/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/groq",
   "description": "Groq Adapter for LlamaIndex",
-  "version": "0.0.55",
+  "version": "0.0.57",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/huggingface/CHANGELOG.md

@@ -1,5 +1,22 @@
 # @llamaindex/huggingface
 
+## 0.0.42
+
+### Patch Changes
+
+- Updated dependencies [beb922b]
+  - @llamaindex/env@0.1.29
+  - @llamaindex/core@0.5.6
+  - @llamaindex/openai@0.1.58
+
+## 0.0.41
+
+### Patch Changes
+
+- Updated dependencies [5668970]
+  - @llamaindex/core@0.5.5
+  - @llamaindex/openai@0.1.57
+
 ## 0.0.40
 
 ### Patch Changes