chore: bump bunchee

apps/next/CHANGELOG.md

@@ -1,21 +1,5 @@
 # @llamaindex/doc
 
-## 0.1.10
-
-### Patch Changes
-
-- Updated dependencies [aea550a]
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - @llamaindex/openai@0.1.60
-  - llamaindex@0.9.10
-  - @llamaindex/workflow@0.0.16
-  - @llamaindex/core@0.5.8
-  - @llamaindex/cloud@3.0.9
-  - @llamaindex/node-parser@1.0.8
-  - @llamaindex/readers@2.0.8
-
 ## 0.1.9
 
 ### Patch Changes

apps/next/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/doc",
-  "version": "0.1.10",
+  "version": "0.1.9",
   "private": true,
   "scripts": {
     "postinstall": "fumadocs-mdx",

apps/next/scripts/post-build.mts

@@ -4,8 +4,4 @@ import { updateLlamaCloud } from "./update-llamacloud.mjs";
 
 env.loadEnvConfig(process.cwd());
 
-if (process.env.VERCEL_ENV === "production") {
-  updateLlamaCloud().catch((error) => {
-    console.error(error);
-  });
-}
+await updateLlamaCloud();

apps/next/src/app/(home)/page.tsx

@@ -125,20 +125,19 @@ const response = await agent.chat({
           description="Truly powerful retrieval-augmented generation applications use agentic techniques, and LlamaIndex.TS makes it easy to build them."
         >
           <CodeBlock
-            code={`import { agent } from "llamaindex";
-import { OpenAI } from "@llamaindex/openai";
+            code={`import { FunctionTool } from "llamaindex";
+import { OpenAIAgent } from "@llamaindex/openai";
 
-// using a previously created LlamaIndex index to query information from
-const queryTool = index.queryTool();
+const interpreterTool = FunctionTool.from(...);
+const systemPrompt = \`...\`;
 
-const agent = agent({
-  llm: new OpenAI({
-    model: "gpt-4o",
-  }),
-  tools: [queryTool],
+const agent = new OpenAIAgent({
+  llm,
+  tools: [interpreterTool],
+  systemPrompt,
 });
 
-await agent.run('...');`}
+await agent.chat('...');`}
             lang="ts"
           />
         </Feature>

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

@@ -3,10 +3,28 @@ title: Agent Workflow
 ---
 
 import { DynamicCodeBlock } from 'fumadocs-ui/components/dynamic-codeblock';
-import CodeSource from "!raw-loader!../../../../../../../examples/agentworkflow/blog-writer.ts";
+import CodeSource from "!raw-loader!../../../../../../../examples/agentworkflow/blog_writer.ts";
 import { Tab, Tabs } from "fumadocs-ui/components/tabs";
 
-Agent Workflows are a powerful system that enables you to create and orchestrate one or multiple agents with tools to perform specific tasks. It's built on top of the base `Workflow` system and provides a streamlined interface for agent interactions.
+`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
 
@@ -15,7 +33,7 @@ Agent Workflows are a powerful system that enables you to create and orchestrate
 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 { agent, FunctionTool } from "llamaindex";
+import { AgentWorkflow, FunctionTool } from "llamaindex";
 import { OpenAI } from "@llamaindex/openai";
 
 // Define a joke-telling tool
@@ -27,8 +45,8 @@ const jokeTool = FunctionTool.from(
   }
 );
 
-// Create an single agent workflow with the tool
-const workflow = agent({
+// Create an agent workflow with the tool
+const workflow = AgentWorkflow.fromTools({
   tools: [jokeTool],
   llm: new OpenAI({
     model: "gpt-4o-mini",
@@ -42,7 +60,7 @@ console.log(result); // Baby Llama is called cria
 
 ### Event Streaming
 
-Agent Workflows provide a unified interface for event streaming, making it easy to track and respond to different events during execution:
+`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";
@@ -63,7 +81,7 @@ for await (const event of context) {
 
 ### Multi-Agent Workflow
 
-An Agent Workflow can orchestrate multiple agents, enabling complex interactions and task handoffs. Each agent in a multi-agent workflow requires:
+`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
@@ -73,12 +91,12 @@ An Agent Workflow can orchestrate multiple agents, enabling complex interactions
 Here's an example of a multi-agent system that combines joke-telling and weather information:
 
 ```typescript
-import { multiAgent, agent, FunctionTool } from "llamaindex";
+import { AgentWorkflow, FunctionAgent, FunctionTool } from "llamaindex";
 import { OpenAI } from "@llamaindex/openai";
 import { z } from "zod";
 
 // Create a weather agent
-const weatherAgent = agent({
+const weatherAgent = new FunctionAgent({
   name: "WeatherAgent",
   description: "Provides weather information for any city",
   tools: [
@@ -97,7 +115,7 @@ const weatherAgent = agent({
 });
 
 // Create a joke-telling agent
-const jokeAgent = agent({
+const jokeAgent = new FunctionAgent({
   name: "JokeAgent",
   description: "Tells jokes and funny stories",
   tools: [jokeTool], // Using the joke tool defined earlier
@@ -106,7 +124,7 @@ const jokeAgent = agent({
 });
 
 // Create the multi-agent workflow
-const workflow = multiAgent({
+const workflow = new AgentWorkflow({
   agents: [jokeAgent, weatherAgent],
   rootAgent: jokeAgent, // Start with the joke agent
 });

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

@@ -119,7 +119,7 @@ Lastly, we run the workflow. The `.run()` method is async, so we use await here
 Optionally, you can choose to use a shared context between steps by specifying a context type when creating the workflow. Here's an example where multiple steps access a shared state:
 
 ```typescript
-import { HandlerContext } from "llamaindex";
+import { HandlerContext } from "@llamaindex/workflow";
 
 type MyContextData = {
   query: string;

apps/next/turbo.json

@@ -1,5 +1,4 @@
 {
-  "$schema": "https://turbo.build/schema.json",
   "extends": ["//"],
   "tasks": {
     "build": {
@@ -9,11 +8,6 @@
         "next-env.d.ts",
         "src/content/docs/cloud/api/**",
         "src/content/docs/api/**"
-      ],
-      "env": [
-        "LLAMA_CLOUD_API_KEY",
-        "LLAMA_CLOUD_PIPELINE_ID",
-        "OPENAI_API_KEY"
       ]
     },
     "dev": {

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

@@ -1,14 +1,5 @@
 # @llamaindex/cloudflare-worker-agent-test
 
-## 0.0.144
-
-### Patch Changes
-
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - llamaindex@0.9.10
-
 ## 0.0.143
 
 ### Patch Changes

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

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/cloudflare-worker-agent-test",
-  "version": "0.0.144",
+  "version": "0.0.143",
   "type": "module",
   "private": true,
   "scripts": {

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

@@ -1,11 +1,5 @@
 # @llamaindex/llama-parse-browser-test
 
-## 0.0.54
-
-### Patch Changes
-
-- @llamaindex/cloud@3.0.9
-
 ## 0.0.53
 
 ### Patch Changes

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

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/llama-parse-browser-test",
   "private": true,
-  "version": "0.0.54",
+  "version": "0.0.53",
   "type": "module",
   "scripts": {
     "dev": "vite",

e2e/examples/nextjs-agent/CHANGELOG.md

@@ -1,14 +1,5 @@
 # @llamaindex/next-agent-test
 
-## 0.1.144
-
-### Patch Changes
-
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - llamaindex@0.9.10
-
 ## 0.1.143
 
 ### Patch Changes

e2e/examples/nextjs-agent/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/next-agent-test",
-  "version": "0.1.144",
+  "version": "0.1.143",
   "private": true,
   "scripts": {
     "dev": "next dev",

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

@@ -1,14 +1,5 @@
 # test-edge-runtime
 
-## 0.1.143
-
-### Patch Changes
-
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - llamaindex@0.9.10
-
 ## 0.1.142
 
 ### Patch Changes

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

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

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

@@ -1,17 +1,5 @@
 # @llamaindex/next-node-runtime
 
-## 0.1.10
-
-### Patch Changes
-
-- Updated dependencies [aea550a]
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - @llamaindex/huggingface@0.0.44
-  - llamaindex@0.9.10
-  - @llamaindex/readers@2.0.8
-
 ## 0.1.9
 
 ### Patch Changes

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

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/next-node-runtime-test",
-  "version": "0.1.10",
+  "version": "0.1.9",
   "private": true,
   "scripts": {
     "dev": "next dev",

e2e/examples/nextjs-node-runtime/src/actions/openai.ts

@@ -1,7 +1,13 @@
 "use server";
 import { HuggingFaceEmbedding } from "@llamaindex/huggingface";
 import { SimpleDirectoryReader } from "@llamaindex/readers/directory";
-import { OpenAI, OpenAIAgent, Settings, VectorStoreIndex } from "llamaindex";
+import {
+  OpenAI,
+  OpenAIAgent,
+  QueryEngineTool,
+  Settings,
+  VectorStoreIndex,
+} from "llamaindex";
 
 Settings.llm = new OpenAI({
   apiKey: process.env.NEXT_PUBLIC_OPENAI_KEY ?? "FAKE_KEY_TO_PASS_TESTS",
@@ -25,20 +31,23 @@ export async function getOpenAIModelRequest(query: string) {
     const reader = new SimpleDirectoryReader();
     const documents = await reader.loadData(currentDir);
     const index = await VectorStoreIndex.fromDocuments(documents);
+    const retriever = index.asRetriever({
+      similarityTopK: 10,
+    });
+    const queryEngine = index.asQueryEngine({
+      retriever,
+    });
 
     // define the query engine as a tool
     const tools = [
-      index.queryTool({
-        options: {
-          similarityTopK: 10,
-        },
+      new QueryEngineTool({
+        queryEngine: queryEngine,
         metadata: {
           name: "deployment_details_per_env",
           description: `This tool can answer detailed questions about deployments happened in various environments.`,
         },
       }),
     ];
-
     // create the agent
     const agent = new OpenAIAgent({ tools });
 

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

@@ -1,14 +1,5 @@
 # vite-import-llamaindex
 
-## 0.0.10
-
-### Patch Changes
-
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - llamaindex@0.9.10
-
 ## 0.0.9
 
 ### Patch Changes

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

@@ -1,7 +1,7 @@
 {
   "name": "vite-import-llamaindex",
   "private": true,
-  "version": "0.0.10",
+  "version": "0.0.9",
   "type": "module",
   "scripts": {
     "build": "vite build",

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

@@ -1,14 +1,5 @@
 # @llamaindex/waku-query-engine-test
 
-## 0.0.144
-
-### Patch Changes
-
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - llamaindex@0.9.10
-
 ## 0.0.143
 
 ### Patch Changes

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

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/waku-query-engine-test",
-  "version": "0.0.144",
+  "version": "0.0.143",
   "type": "module",
   "private": true,
   "scripts": {

examples/CHANGELOG.md

@@ -1,54 +1,5 @@
 # examples
 
-## 0.2.9
-
-### Patch Changes
-
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [c14a21b]
-- Updated dependencies [33f9856]
-- Updated dependencies [aea550a]
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - @llamaindex/azure@0.1.8
-  - @llamaindex/google@0.1.1
-  - @llamaindex/huggingface@0.0.44
-  - @llamaindex/portkey-ai@0.0.41
-  - @llamaindex/anthropic@0.2.6
-  - @llamaindex/deepinfra@0.0.44
-  - @llamaindex/fireworks@0.0.4
-  - @llamaindex/replicate@0.0.41
-  - @llamaindex/deepseek@0.0.4
-  - @llamaindex/together@0.0.4
-  - @llamaindex/mistral@0.0.13
-  - @llamaindex/ollama@0.0.48
-  - @llamaindex/openai@0.1.60
-  - @llamaindex/vercel@0.0.19
-  - @llamaindex/groq@0.0.59
-  - @llamaindex/vllm@0.0.30
-  - llamaindex@0.9.10
-  - @llamaindex/workflow@0.0.16
-  - @llamaindex/core@0.5.8
-  - @llamaindex/clip@0.0.44
-  - @llamaindex/jinaai@0.0.4
-  - @llamaindex/milvus@0.1.8
-  - @llamaindex/qdrant@0.1.8
-  - @llamaindex/cloud@3.0.9
-  - @llamaindex/node-parser@1.0.8
-  - @llamaindex/cohere@0.0.13
-  - @llamaindex/mixedbread@0.0.13
-  - @llamaindex/astra@0.0.13
-  - @llamaindex/chroma@0.0.13
-  - @llamaindex/firestore@1.0.6
-  - @llamaindex/mongodb@0.0.13
-  - @llamaindex/pinecone@0.0.13
-  - @llamaindex/postgres@0.0.41
-  - @llamaindex/upstash@0.0.13
-  - @llamaindex/weaviate@0.0.13
-  - @llamaindex/voyage-ai@1.0.5
-  - @llamaindex/readers@2.0.8
-
 ## 0.2.8
 
 ### Patch Changes

examples/agent/large_toolcall.ts

@@ -1,5 +1,5 @@
 import { OpenAI } from "@llamaindex/openai";
-import { FunctionTool, agent } from "llamaindex";
+import { AgentWorkflow, FunctionTool } from "llamaindex";
 import { z } from "zod";
 
 const csvData =
@@ -33,7 +33,7 @@ const userQuestion = "which are the best comedies after 2010?";
   const systemPrompt =
     "You are a Python interpreter.\n        - You are given tasks to complete and you run python code to solve them.\n        - The python code runs in a Jupyter notebook. Every time you call $(interpreter) tool, the python code is executed in a separate cell. It's okay to make multiple calls to $(interpreter).\n        - Display visualizations using matplotlib or any other visualization library directly in the notebook. Shouldn't save the visualizations to a file, just return the base64 encoded data.\n        - You can install any pip package (if it exists) if you need to but the usual packages for data analysis are already preinstalled.\n        - You can run any python code you want in a secure environment.";
 
-  const workflow = agent({
+  const workflow = AgentWorkflow.fromTools({
     tools: [interpreterTool],
     llm,
     verbose: false,

examples/agent/openai.ts

@@ -1,5 +1,5 @@
 import { OpenAI } from "@llamaindex/openai";
-import { FunctionTool, agent } from "llamaindex";
+import { AgentWorkflow, FunctionTool } from "llamaindex";
 import { z } from "zod";
 
 const sumNumbers = FunctionTool.from(
@@ -27,7 +27,7 @@ const divideNumbers = FunctionTool.from(
 );
 
 async function main() {
-  const workflow = agent({
+  const workflow = AgentWorkflow.fromTools({
     tools: [sumNumbers, divideNumbers],
     llm: new OpenAI({ model: "gpt-4o-mini" }),
     verbose: false,

examples/agent/wiki.ts

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

examples/agentworkflow/blog_writer.ts

@@ -1,38 +1,40 @@
-import { openai } from "@llamaindex/openai";
+import { OpenAI } from "@llamaindex/openai";
 import fs from "fs";
 import {
-  agent,
   AgentToolCall,
   AgentToolCallResult,
-  multiAgent,
-  tool,
+  AgentWorkflow,
+  FunctionAgent,
+  FunctionTool,
 } from "llamaindex";
 import os from "os";
 import { z } from "zod";
 
 import { WikipediaTool } from "../wiki";
-const llm = openai({
+const llm = new OpenAI({
   model: "gpt-4o-mini",
 });
 
-const saveFileTool = tool({
-  name: "saveFile",
-  description:
-    "Save the written content into a file that can be downloaded by the user",
-  parameters: z.object({
-    content: z.string({
-      description: "The content to save into a file",
-    }),
-  }),
-  execute: ({ content }: { content: string }) => {
+const 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 = agent({
+  const reportAgent = new FunctionAgent({
     name: "ReportAgent",
     description:
       "Responsible for crafting well-written blog posts based on research findings",
@@ -41,7 +43,7 @@ async function main() {
     llm,
   });
 
-  const researchAgent = agent({
+  const researchAgent = new FunctionAgent({
     name: "ResearchAgent",
     description:
       "Responsible for gathering relevant information from the internet",
@@ -51,7 +53,7 @@ async function main() {
     llm,
   });
 
-  const workflow = multiAgent({
+  const workflow = new AgentWorkflow({
     agents: [researchAgent, reportAgent],
     rootAgent: researchAgent,
   });

examples/agentworkflow/multiple_agents.ts

@@ -3,55 +3,59 @@
  * 1. FetchWeatherAgent - Fetches the weather in a city
  * 2. TemperatureConverterAgent - Converts the temperature from Fahrenheit to Celsius
  */
-import { openai } from "@llamaindex/openai";
+import { OpenAI } from "@llamaindex/openai";
+import { StopEvent } from "@llamaindex/workflow";
 import {
-  agent,
   AgentInput,
   AgentOutput,
   AgentStream,
   AgentToolCall,
   AgentToolCallResult,
-  multiAgent,
-  StopEvent,
-  tool,
+  AgentWorkflow,
+  FunctionAgent,
+  FunctionTool,
 } from "llamaindex";
 import { z } from "zod";
 
-const llm = openai({
+const llm = new OpenAI({
   model: "gpt-4o-mini",
 });
 
 // Define tools for the agents
-const temperatureConverterTool = tool({
-  description: "Convert a temperature from Fahrenheit to Celsius",
-  name: "fahrenheitToCelsius",
-  parameters: z.object({
-    temperature: z.number({
-      description: "The temperature in Fahrenheit",
-    }),
-  }),
-  execute: ({ temperature }) => {
+const temperatureConverterTool = FunctionTool.from(
+  ({ temperature }: { temperature: number }) => {
     return ((temperature - 32) * 5) / 9;
   },
-});
-
-const temperatureFetcherTool = tool({
-  description: "Fetch the temperature (in Fahrenheit) for a city",
-  name: "fetchTemperature",
-  parameters: z.object({
-    city: z.string({
-      description: "The city to fetch the temperature for",
+  {
+    description: "Convert a temperature from Fahrenheit to Celsius",
+    name: "fahrenheitToCelsius",
+    parameters: z.object({
+      temperature: z.number({
+        description: "The temperature in Fahrenheit",
+      }),
     }),
-  }),
-  execute: ({ city }) => {
+  },
+);
+
+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 = agent({
+  const converterAgent = new FunctionAgent({
     name: "TemperatureConverterAgent",
     description:
       "An agent that can convert temperatures from Fahrenheit to Celsius.",
@@ -59,7 +63,7 @@ async function multiWeatherAgent() {
     llm,
   });
 
-  const weatherAgent = agent({
+  const weatherAgent = new FunctionAgent({
     name: "FetchWeatherAgent",
     description: "An agent that can get the weather in a city. ",
     systemPrompt:
@@ -72,7 +76,7 @@ async function multiWeatherAgent() {
   });
 
   // Create agent workflow with the agents
-  const workflow = multiAgent({
+  const workflow = new AgentWorkflow({
     agents: [weatherAgent, converterAgent],
     rootAgent: weatherAgent,
     verbose: false,

examples/agentworkflow/single_agent.ts

@@ -1,17 +1,18 @@
 /**
  * This example shows how to use AgentWorkflow as a single agent with tools
  */
-import { openai } from "@llamaindex/openai";
-import { Settings, agent } from "llamaindex";
+import { OpenAI } from "@llamaindex/openai";
+import { AgentWorkflow } from "llamaindex";
 import { getWeatherTool } from "../agent/utils/tools";
 
-Settings.llm = openai({
+const llm = new OpenAI({
   model: "gpt-4o",
 });
 
 async function singleWeatherAgent() {
-  const workflow = agent({
+  const workflow = AgentWorkflow.fromTools({
     tools: [getWeatherTool],
+    llm,
     verbose: false,
   });
 

examples/agentworkflow/with-anthropic.ts

@@ -1,63 +1,69 @@
 import fs from "fs";
 import {
-  agent,
   AgentToolCall,
   AgentToolCallResult,
-  multiAgent,
-  tool,
+  AgentWorkflow,
+  FunctionAgent,
+  FunctionTool,
 } from "llamaindex";
 import { z } from "zod";
 
-import { anthropic } from "@llamaindex/anthropic";
+import { Anthropic } from "@llamaindex/anthropic";
 
-const weatherTool = tool({
-  name: "weather",
-  description: "Get the weather",
-  parameters: z.object({
-    location: z.string({
-      description: "The location to get the weather for",
-    }),
-  }),
-  execute: ({ location }) => {
-    return `The weather in ${location} is sunny`;
-  },
+const llm = new Anthropic({
+  model: "claude-3-5-sonnet",
 });
 
-const inflationTool = tool({
-  name: "inflation",
-  description: "Get the inflation",
-  parameters: z.object({
-    location: z.string({
-      description: "The location to get the inflation for",
-    }),
-  }),
-  execute: ({ location }) => {
-    return `The inflation in ${location} is 2%`;
+const weatherTool = FunctionTool.from(
+  (query: { location: string }) => {
+    return `The weather in ${query.location} is sunny`;
   },
-});
-
-const saveFileTool = tool({
-  name: "saveFile",
-  description:
-    "Save the written content into a file that can be downloaded by the user",
-  parameters: z.object({
-    content: z.string({
-      description: "The content to save into a file",
+  {
+    name: "weather",
+    description: "Get the weather",
+    parameters: z.object({
+      location: z.string({
+        description: "The location to get the weather for",
+      }),
     }),
-  }),
-  execute: ({ content }) => {
+  },
+);
+
+const inflationTool = FunctionTool.from(
+  (query: { location: string }) => {
+    return `The inflation in ${query.location} is 2%`;
+  },
+  {
+    name: "inflation",
+    description: "Get the inflation",
+    parameters: z.object({
+      location: z.string({
+        description: "The location to get the inflation for",
+      }),
+    }),
+  },
+);
+
+const saveFileTool = FunctionTool.from(
+  ({ content }: { content: string }) => {
     const filePath = "./report.md";
     fs.writeFileSync(filePath, content);
     return `File saved successfully at ${filePath}`;
   },
-});
+  {
+    name: "saveFile",
+    description:
+      "Save the written content into a file that can be downloaded by the user",
+    parameters: z.object({
+      content: z.string({
+        description: "The content to save into a file",
+      }),
+    }),
+  },
+);
 
 async function main() {
-  const llm = anthropic({
-    model: "claude-3-5-sonnet",
-  });
-
-  const reportAgent = agent({
+  const reportAgent = new FunctionAgent({
     name: "ReportAgent",
     description:
       "Responsible for creating concise reports about weather and inflation data",
@@ -66,7 +72,7 @@ async function main() {
     llm,
   });
 
-  const researchAgent = agent({
+  const researchAgent = new FunctionAgent({
     name: "ResearchAgent",
     description:
       "Responsible for gathering relevant information from the internet",
@@ -76,7 +82,7 @@ async function main() {
     llm,
   });
 
-  const workflow = multiAgent({
+  const workflow = new AgentWorkflow({
     agents: [researchAgent, reportAgent],
     rootAgent: researchAgent,
   });

examples/node/workflow/basic.ts

@@ -1,4 +1,4 @@
-import { StartEvent, StopEvent, Workflow } from "llamaindex";
+import { StartEvent, StopEvent, Workflow } from "@llamaindex/workflow";
 
 type ContextData = {
   counter: number;

examples/package.json

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

examples/workflow/app-creator.ts

@@ -5,7 +5,7 @@ import {
   StopEvent,
   Workflow,
   WorkflowEvent,
-} from "llamaindex";
+} from "@llamaindex/workflow";
 
 const MAX_REVIEWS = 3;
 

examples/workflow/conditional.ts

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

examples/workflow/joke.ts

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

examples/workflow/stream-events.ts

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

examples/workflow/timeout.ts

@@ -1,4 +1,4 @@
-import { StartEvent, StopEvent, Workflow } from "llamaindex";
+import { StartEvent, StopEvent, Workflow } from "@llamaindex/workflow";
 
 const longRunning = async (_: unknown, ev: StartEvent<string>) => {
   await new Promise((resolve) => setTimeout(resolve, 2000)); // Wait for 2 seconds

examples/workflow/validation.ts

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

packages/autotool/CHANGELOG.md

@@ -1,14 +1,5 @@
 # @llamaindex/autotool
 
-## 6.0.10
-
-### Patch Changes
-
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - llamaindex@0.9.10
-
 ## 6.0.9
 
 ### Patch Changes

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

@@ -1,15 +1,5 @@
 # @llamaindex/autotool-01-node-example
 
-## 0.0.91
-
-### Patch Changes
-
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - llamaindex@0.9.10
-  - @llamaindex/autotool@6.0.10
-
 ## 0.0.90
 
 ### Patch Changes

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

@@ -13,5 +13,5 @@
   "scripts": {
     "start": "node --import tsx --import @llamaindex/autotool/node ./src/index.ts"
   },
-  "version": "0.0.91"
+  "version": "0.0.90"
 }

packages/autotool/package.json

@@ -6,7 +6,7 @@
     "url": "git+https://github.com/run-llama/LlamaIndexTS.git",
     "directory": "packages/autotool"
   },
-  "version": "6.0.10",
+  "version": "6.0.9",
   "description": "auto transpile your JS function to LLM Agent compatible",
   "files": [
     "dist",

packages/cloud/CHANGELOG.md

@@ -1,12 +1,5 @@
 # @llamaindex/cloud
 
-## 3.0.9
-
-### Patch Changes
-
-- Updated dependencies [40ee761]
-  - @llamaindex/core@0.5.8
-
 ## 3.0.8
 
 ### Patch Changes

packages/cloud/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/cloud",
-  "version": "3.0.9",
+  "version": "3.0.8",
   "type": "module",
   "license": "MIT",
   "scripts": {

packages/cloud/turbo.json

@@ -1,5 +1,4 @@
 {
-  "$schema": "https://turbo.build/schema.json",
   "extends": ["//"],
   "tasks": {
     "build": {

packages/community/CHANGELOG.md

@@ -1,12 +1,5 @@
 # @llamaindex/community
 
-## 0.0.90
-
-### Patch Changes
-
-- Updated dependencies [40ee761]
-  - @llamaindex/core@0.5.8
-
 ## 0.0.89
 
 ### Patch Changes

packages/community/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/community",
   "description": "Community package for LlamaIndexTS",
-  "version": "0.0.90",
+  "version": "0.0.89",
   "type": "module",
   "types": "dist/type/index.d.ts",
   "main": "dist/cjs/index.js",

packages/core/CHANGELOG.md

@@ -1,11 +1,5 @@
 # @llamaindex/core
 
-## 0.5.8
-
-### Patch Changes
-
-- 40ee761: Add factory methods tool, agent and multiAgent to simplify agent usage
-
 ## 0.5.7
 
 ### Patch Changes

packages/core/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/core",
   "type": "module",
-  "version": "0.5.8",
+  "version": "0.5.7",
   "description": "LlamaIndex Core Module",
   "exports": {
     "./agent": {

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

@@ -64,52 +64,12 @@ export class FunctionTool<
       parameters: R;
     },
   ): FunctionTool<T, JSONValue, AdditionalToolArgument>;
-  static from<
-    R extends z.ZodType,
-    AdditionalToolArgument extends object = object,
-  >(
-    config: Omit<ToolMetadata, "parameters"> & {
-      parameters: R;
-      execute: (
-        input: z.infer<R>,
-        additionalArg?: AdditionalToolArgument,
-      ) => JSONValue | Promise<JSONValue>;
-    },
-  ): FunctionTool<
-    z.infer<R>,
-    JSONValue | Promise<JSONValue>,
-    AdditionalToolArgument
-  >;
   // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  static from(fnOrConfig: any, schema?: any): any {
-    // Handle the case where an object with execute function is passed
-    if (
-      typeof schema === "undefined" &&
-      typeof fnOrConfig === "object" &&
-      fnOrConfig.execute
-    ) {
-      const { execute, parameters, ...restConfig } = fnOrConfig;
-
-      if (parameters instanceof z.ZodSchema) {
-        const jsonSchema = zodToJsonSchema(parameters);
-        return new FunctionTool(
-          execute,
-          {
-            ...restConfig,
-            parameters: jsonSchema,
-          },
-          parameters,
-        );
-      }
-
-      return new FunctionTool(execute, fnOrConfig);
-    }
-
-    // Handle the original cases
-    if (schema && schema.parameters instanceof z.ZodSchema) {
+  static from(fn: any, schema: any): any {
+    if (schema.parameters instanceof z.ZodSchema) {
       const jsonSchema = zodToJsonSchema(schema.parameters);
       return new FunctionTool(
-        fnOrConfig,
+        fn,
         {
           ...schema,
           parameters: jsonSchema,
@@ -117,7 +77,7 @@ export class FunctionTool<
         schema.parameters,
       );
     }
-    return new FunctionTool(fnOrConfig, schema);
+    return new FunctionTool(fn, schema);
   }
 
   get metadata(): BaseTool<T>["metadata"] {
@@ -162,8 +122,3 @@ export class FunctionTool<
     return this.#fn.call(null, input, this.#additionalArg);
   };
 }
-
-/**
- * A simpler alias for creating a FunctionTool.
- */
-export const tool = FunctionTool.from;

packages/core/src/tools/index.ts

@@ -1 +1 @@
-export * from "./function-tool";
+export { FunctionTool } from "./function-tool";

packages/core/src/utils/index.ts

@@ -80,9 +80,8 @@ export {
   extractText,
   imageToDataUrl,
   messagesToHistory,
+  MockLLM,
   toToolDescriptions,
 } from "./llms";
 
-export { MockLLM } from "./mock";
-
 export { objectEntries } from "./object-entries";

packages/core/src/utils/llms.ts

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

packages/core/src/utils/mock.ts

@@ -1,93 +0,0 @@
-// TODO: move to a test package
-import { ToolCallLLM } from "../llms/base";
-import type {
-  ChatResponse,
-  ChatResponseChunk,
-  CompletionResponse,
-  LLMChatParamsNonStreaming,
-  LLMChatParamsStreaming,
-  LLMCompletionParamsNonStreaming,
-  LLMCompletionParamsStreaming,
-  LLMMetadata,
-} from "../llms/type";
-
-export class MockLLM extends ToolCallLLM {
-  metadata: LLMMetadata;
-  options: {
-    timeBetweenToken: number;
-    responseMessage: string;
-  };
-  supportToolCall: boolean = false;
-
-  constructor(options?: {
-    timeBetweenToken?: number;
-    responseMessage?: string;
-    metadata?: LLMMetadata;
-  }) {
-    super();
-    this.options = {
-      timeBetweenToken: options?.timeBetweenToken ?? 20,
-      responseMessage: options?.responseMessage ?? "This is a mock response",
-    };
-    this.metadata = options?.metadata ?? {
-      model: "MockLLM",
-      temperature: 0.5,
-      topP: 0.5,
-      contextWindow: 1024,
-      tokenizer: undefined,
-    };
-  }
-
-  chat(
-    params: LLMChatParamsStreaming<object, object>,
-  ): Promise<AsyncIterable<ChatResponseChunk>>;
-  chat(
-    params: LLMChatParamsNonStreaming<object, object>,
-  ): Promise<ChatResponse<object>>;
-  async chat(
-    params:
-      | LLMChatParamsStreaming<object, object>
-      | LLMChatParamsNonStreaming<object, object>,
-  ): Promise<AsyncIterable<ChatResponseChunk> | ChatResponse<object>> {
-    const responseMessage = this.options.responseMessage;
-    const timeBetweenToken = this.options.timeBetweenToken;
-
-    if (params.stream) {
-      return (async function* () {
-        for (const char of responseMessage) {
-          yield { delta: char, raw: {} };
-          await new Promise((resolve) => setTimeout(resolve, timeBetweenToken));
-        }
-      })();
-    }
-
-    return {
-      message: { content: responseMessage, role: "assistant" },
-      raw: {},
-    };
-  }
-
-  async complete(
-    params: LLMCompletionParamsStreaming,
-  ): Promise<AsyncIterable<CompletionResponse>>;
-  async complete(
-    params: LLMCompletionParamsNonStreaming,
-  ): Promise<CompletionResponse>;
-  async complete(
-    params: LLMCompletionParamsStreaming | LLMCompletionParamsNonStreaming,
-  ): Promise<AsyncIterable<CompletionResponse> | CompletionResponse> {
-    const responseMessage = this.options.responseMessage;
-    const timeBetweenToken = this.options.timeBetweenToken;
-
-    if (params.stream) {
-      return (async function* () {
-        for (const char of responseMessage) {
-          yield { delta: char, text: char, raw: {} };
-          await new Promise((resolve) => setTimeout(resolve, timeBetweenToken));
-        }
-      })();
-    }
-
-    return { text: responseMessage, raw: {} };
-  }
-}

packages/core/tests/tools.test.ts

@@ -1,4 +1,4 @@
-import { FunctionTool, tool } from "@llamaindex/core/tools";
+import { FunctionTool } from "@llamaindex/core/tools";
 import { describe, expect, test, vi } from "vitest";
 import { z } from "zod";
 
@@ -27,41 +27,6 @@ describe("FunctionTool", () => {
     });
   });
 
-  test("create with execute attribute", async () => {
-    // Mock function to be passed as execute attribute
-    const mockExecute = vi.fn().mockImplementation(({ content }) => {
-      return `File saved with content: ${content}`;
-    });
-
-    const config = {
-      name: "saveFile",
-      description: "Save the content into a file",
-      parameters: z.object({
-        content: z.string({
-          description: "The content to save into a file",
-        }),
-      }),
-      execute: mockExecute,
-    };
-
-    // Create tool using an execute attribute
-    const saveTool = FunctionTool.from(config);
-
-    // Call the tool and verify
-    const result = await saveTool.call({ content: "test content" });
-    expect(mockExecute).toHaveBeenCalledOnce();
-    expect(mockExecute).toHaveBeenCalledWith(
-      { content: "test content" },
-      undefined,
-    );
-    expect(result).toBe("File saved with content: test content");
-
-    // Test tool alias
-    const saveTool2 = tool(config);
-    const result2 = await saveTool2.call({ content: "test content" });
-    expect(result2).toBe("File saved with content: test content");
-  });
-
   test("bind additional argument", () => {
     type AdditionalHelloArgument = {
       question?: string;

packages/core/turbo.json

@@ -1,5 +1,4 @@
 {
-  "$schema": "https://turbo.build/schema.json",
   "extends": ["//"],
   "tasks": {
     "build": {

packages/env/turbo.json

@@ -1,5 +1,4 @@
 {
-  "$schema": "https://turbo.build/schema.json",
   "extends": ["//"],
   "tasks": {
     "build": {

packages/experimental/CHANGELOG.md

@@ -1,14 +1,5 @@
 # @llamaindex/experimental
 
-## 0.0.160
-
-### Patch Changes
-
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-- Updated dependencies [40ee761]
-  - llamaindex@0.9.10
-
 ## 0.0.159
 
 ### Patch Changes

packages/experimental/package.json

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

packages/llamaindex/CHANGELOG.md

@@ -1,21 +1,5 @@
 # llamaindex
 
-## 0.9.10
-
-### Patch Changes
-
-- c1b5be5: feat: make AgentWorkflow llm param optional
-- 40ee761: Add factory methods tool, agent and multiAgent to simplify agent usage
-- 40ee761: feat: add asQueryTool to index
-- Updated dependencies [aea550a]
-- Updated dependencies [c1b5be5]
-- Updated dependencies [40ee761]
-  - @llamaindex/openai@0.1.60
-  - @llamaindex/workflow@0.0.16
-  - @llamaindex/core@0.5.8
-  - @llamaindex/cloud@3.0.9
-  - @llamaindex/node-parser@1.0.8
-
 ## 0.9.9
 
 ### Patch Changes

packages/llamaindex/package.json

@@ -1,6 +1,6 @@
 {
   "name": "llamaindex",
-  "version": "0.9.10",
+  "version": "0.9.9",
   "license": "MIT",
   "type": "module",
   "keywords": [

packages/llamaindex/src/index.edge.ts

@@ -67,7 +67,6 @@ export * from "@llamaindex/core/storage/index-store";
 export * from "@llamaindex/core/storage/kv-store";
 export * from "@llamaindex/core/utils";
 export * from "@llamaindex/openai";
-export * from "@llamaindex/workflow";
 export * from "@llamaindex/workflow/agent";
 export * from "./agent/index.js";
 export * from "./cloud/index.js";

packages/llamaindex/src/indices/BaseIndex.ts

@@ -2,21 +2,15 @@ import type {
   BaseChatEngine,
   ContextChatEngineOptions,
 } from "@llamaindex/core/chat-engine";
-import type { ToolMetadata } from "@llamaindex/core/llms";
 import type { BaseQueryEngine } from "@llamaindex/core/query-engine";
 import type { BaseSynthesizer } from "@llamaindex/core/response-synthesizers";
 import type { BaseRetriever } from "@llamaindex/core/retriever";
 import type { BaseNode, Document } from "@llamaindex/core/schema";
 import type { BaseDocumentStore } from "@llamaindex/core/storage/doc-store";
 import type { BaseIndexStore } from "@llamaindex/core/storage/index-store";
-import type { JSONSchemaType } from "ajv";
 import { runTransformations } from "../ingestion/IngestionPipeline.js";
 import { Settings } from "../Settings.js";
 import type { StorageContext } from "../storage/StorageContext.js";
-import {
-  type QueryEngineParam,
-  QueryEngineTool,
-} from "../tools/QueryEngineTool.js";
 
 export interface BaseIndexInit<T> {
   storageContext: StorageContext;
@@ -25,24 +19,6 @@ export interface BaseIndexInit<T> {
   indexStruct: T;
 }
 
-/**
- * Common parameter type for queryTool and asQueryTool
- */
-export type QueryToolParams = (
-  | {
-      // eslint-disable-next-line @typescript-eslint/no-explicit-any
-      options: any;
-      retriever?: never;
-    }
-  | {
-      options?: never;
-      retriever?: BaseRetriever;
-    }
-) & {
-  responseSynthesizer?: BaseSynthesizer;
-  metadata?: ToolMetadata<JSONSchemaType<QueryEngineParam>> | undefined;
-};
-
 /**
  * Indexes are the data structure that we store our nodes and embeddings in so
  * they can be retrieved for our queries.
@@ -85,22 +61,6 @@ export abstract class BaseIndex<T> {
     options?: Omit<ContextChatEngineOptions, "retriever">,
   ): BaseChatEngine;
 
-  /**
-   * Returns a query tool by calling asQueryEngine.
-   * Either options or retriever can be passed, but not both.
-   * If options are provided, they are passed to generate a retriever.
-   */
-  asQueryTool(params: QueryToolParams): QueryEngineTool {
-    if (params.options) {
-      params.retriever = this.asRetriever(params.options);
-    }
-
-    return new QueryEngineTool({
-      queryEngine: this.asQueryEngine(params),
-      metadata: params?.metadata,
-    });
-  }
-
   /**
    * Insert a document into the index.
    * @param document
@@ -116,33 +76,4 @@ export abstract class BaseIndex<T> {
     refDocId: string,
     deleteFromDocStore?: boolean,
   ): Promise<void>;
-
-  /**
-   * Alias for asRetriever
-   * @param options
-   */
-  // eslint-disable-next-line @typescript-eslint/no-explicit-any
-  retriever(options?: any): BaseRetriever {
-    return this.asRetriever(options);
-  }
-
-  /**
-   * Alias for asQueryEngine
-   * @param options you can supply your own custom Retriever and ResponseSynthesizer
-   */
-  queryEngine(options?: {
-    retriever?: BaseRetriever;
-    responseSynthesizer?: BaseSynthesizer;
-  }): BaseQueryEngine {
-    return this.asQueryEngine(options);
-  }
-
-  /**
-   * Alias for asQueryTool
-   * Either options or retriever can be passed, but not both.
-   * If options are provided, they are passed to generate a retriever.
-   */
-  queryTool(params: QueryToolParams): QueryEngineTool {
-    return this.asQueryTool(params);
-  }
 }

packages/llamaindex/src/tools/QueryEngineTool.ts

@@ -19,7 +19,7 @@ const DEFAULT_PARAMETERS: JSONSchemaType<QueryEngineParam> = {
 
 export type QueryEngineToolParams = {
   queryEngine: BaseQueryEngine;
-  metadata?: ToolMetadata<JSONSchemaType<QueryEngineParam>> | undefined;
+  metadata: ToolMetadata<JSONSchemaType<QueryEngineParam>>;
 };
 
 export type QueryEngineParam = {

packages/node-parser/CHANGELOG.md

@@ -1,12 +1,5 @@
 # @llamaindex/node-parser
 
-## 1.0.8
-
-### Patch Changes
-
-- Updated dependencies [40ee761]
-  - @llamaindex/core@0.5.8
-
 ## 1.0.7
 
 ### Patch Changes

packages/node-parser/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@llamaindex/node-parser",
-  "version": "1.0.8",
+  "version": "1.0.7",
   "description": "Node parser for LlamaIndex",
   "type": "module",
   "exports": {

packages/node-parser/turbo.json

@@ -1,5 +1,4 @@
 {
-  "$schema": "https://turbo.build/schema.json",
   "extends": ["//"],
   "tasks": {
     "build": {

packages/providers/anthropic/CHANGELOG.md

@@ -1,13 +1,5 @@
 # @llamaindex/anthropic
 
-## 0.2.6
-
-### Patch Changes
-
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [40ee761]
-  - @llamaindex/core@0.5.8
-
 ## 0.2.5
 
 ### Patch Changes

packages/providers/anthropic/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/anthropic",
   "description": "Anthropic Adapter for LlamaIndex",
-  "version": "0.2.6",
+  "version": "0.2.5",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/anthropic/src/index.ts

@@ -1,2 +1,14 @@
-export * from "./agent";
-export * from "./llm";
+export {
+  AnthropicAgent,
+  AnthropicAgentWorker,
+  type AnthropicAgentParams,
+} from "./agent";
+export {
+  ALL_AVAILABLE_ANTHROPIC_LEGACY_MODELS,
+  ALL_AVAILABLE_ANTHROPIC_MODELS,
+  ALL_AVAILABLE_V3_5_MODELS,
+  ALL_AVAILABLE_V3_MODELS,
+  Anthropic,
+  AnthropicSession,
+  type AnthropicAdditionalChatOptions,
+} from "./llm";

packages/providers/anthropic/src/llm.ts

@@ -60,7 +60,7 @@ const defaultAnthropicSession: {
  * @param options
  * @returns
  */
-function getAnthropicSession(options: ClientOptions = {}) {
+export function getAnthropicSession(options: ClientOptions = {}) {
   let session = defaultAnthropicSession.find((session) => {
     return isDeepEqual(session.options, options);
   })?.session;
@@ -586,11 +586,3 @@ export class Anthropic extends ToolCallLLM<
     };
   }
 }
-
-/**
- * Convenience function to create a new Anthropic instance.
- * @param init - Optional initialization parameters for the Anthropic instance.
- * @returns A new Anthropic instance.
- */
-export const anthropic = (init?: ConstructorParameters<typeof Anthropic>[0]) =>
-  new Anthropic(init);

packages/providers/clip/CHANGELOG.md

@@ -1,14 +1,5 @@
 # @llamaindex/clip
 
-## 0.0.44
-
-### Patch Changes
-
-- Updated dependencies [aea550a]
-- Updated dependencies [40ee761]
-  - @llamaindex/openai@0.1.60
-  - @llamaindex/core@0.5.8
-
 ## 0.0.43
 
 ### Patch Changes

packages/providers/clip/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/clip",
   "description": "Clip Embedding Adapter for LlamaIndex",
-  "version": "0.0.44",
+  "version": "0.0.43",
   "type": "module",
   "types": "dist/index.d.ts",
   "main": "dist/index.cjs",

packages/providers/cohere/CHANGELOG.md

@@ -1,12 +1,5 @@
 # @llamaindex/cohere
 
-## 0.0.13
-
-### Patch Changes
-
-- Updated dependencies [40ee761]
-  - @llamaindex/core@0.5.8
-
 ## 0.0.12
 
 ### Patch Changes

packages/providers/cohere/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/cohere",
   "description": "Cohere Adapter for LlamaIndex",
-  "version": "0.0.13",
+  "version": "0.0.12",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/deepinfra/CHANGELOG.md

@@ -1,15 +1,5 @@
 # @llamaindex/deepinfra
 
-## 0.0.44
-
-### Patch Changes
-
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [aea550a]
-- Updated dependencies [40ee761]
-  - @llamaindex/openai@0.1.60
-  - @llamaindex/core@0.5.8
-
 ## 0.0.43
 
 ### Patch Changes

packages/providers/deepinfra/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/deepinfra",
   "description": "Deepinfra Adapter for LlamaIndex",
-  "version": "0.0.44",
+  "version": "0.0.43",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/deepinfra/src/index.ts

@@ -3,4 +3,4 @@ export {
   type DeepInfraEmbeddingResponse,
   type InferenceStatus,
 } from "./embedding";
-export * from "./llm";
+export { DeepInfra } from "./llm";

packages/providers/deepinfra/src/llm.ts

@@ -31,11 +31,3 @@ export class DeepInfra extends OpenAI {
     });
   }
 }
-
-/**
- * Convenience function to create a new DeepInfra instance.
- * @param init - Optional initialization parameters for the DeepInfra instance.
- * @returns A new DeepInfra instance.
- */
-export const deepinfra = (init?: ConstructorParameters<typeof DeepInfra>[0]) =>
-  new DeepInfra(init);

packages/providers/deepseek/CHANGELOG.md

@@ -1,13 +1,5 @@
 # @llamaindex/deepseek
 
-## 0.0.4
-
-### Patch Changes
-
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [aea550a]
-  - @llamaindex/openai@0.1.60
-
 ## 0.0.3
 
 ### Patch Changes

packages/providers/deepseek/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/deepseek",
   "description": "DeepSeek Adapter for LlamaIndex",
-  "version": "0.0.4",
+  "version": "0.0.3",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/deepseek/src/llm.ts

@@ -35,11 +35,3 @@ export class DeepSeekLLM extends OpenAI {
     });
   }
 }
-
-/**
- * Convenience function to create a new DeepSeekLLM instance.
- * @param init - Optional initialization parameters for the DeepSeekLLM instance.
- * @returns A new DeepSeekLLM instance.
- */
-export const deepseek = (init?: ConstructorParameters<typeof DeepSeekLLM>[0]) =>
-  new DeepSeekLLM(init);

packages/providers/fireworks/CHANGELOG.md

@@ -1,13 +1,5 @@
 # @llamaindex/fireworks
 
-## 0.0.4
-
-### Patch Changes
-
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [aea550a]
-  - @llamaindex/openai@0.1.60
-
 ## 0.0.3
 
 ### Patch Changes

packages/providers/fireworks/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/fireworks",
   "description": "Fireworks Adapter for LlamaIndex",
-  "version": "0.0.4",
+  "version": "0.0.3",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/fireworks/src/llm.ts

@@ -26,12 +26,3 @@ export class FireworksLLM extends OpenAI {
     });
   }
 }
-
-/**
- * Convenience function to create a new FireworksLLM instance.
- * @param init - Optional initialization parameters for the FireworksLLM instance.
- * @returns A new FireworksLLM instance.
- */
-export const fireworks = (
-  init?: ConstructorParameters<typeof FireworksLLM>[0],
-) => new FireworksLLM(init);

packages/providers/google/CHANGELOG.md

@@ -1,14 +1,5 @@
 # @llamaindex/google
 
-## 0.1.1
-
-### Patch Changes
-
-- 33f9856: Fix google start chat tools parameter
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [40ee761]
-  - @llamaindex/core@0.5.8
-
 ## 0.1.0
 
 ### Minor Changes

packages/providers/google/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/google",
   "description": "Google Adapter for LlamaIndex",
-  "version": "0.1.1",
+  "version": "0.1.0",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/google/src/base.ts

@@ -231,37 +231,29 @@ export class Gemini extends ToolCallLLM<GeminiAdditionalChatOptions> {
     };
   }
 
-  private createStartChatParams(
-    params: GeminiChatParamsNonStreaming | GeminiChatParamsStreaming,
-  ) {
-    const context = getChatContext(params);
-    const common = {
-      history: context.history,
-      safetySettings: DEFAULT_SAFETY_SETTINGS,
-    };
-
-    return params.tools?.length
-      ? {
-          ...common,
-          // only if non-empty tools list
-          tools: [
-            {
-              functionDeclarations: params.tools.map(
-                mapBaseToolToGeminiFunctionDeclaration,
-              ),
-            },
-          ],
-          safetySettings: DEFAULT_SAFETY_SETTINGS,
-        }
-      : common;
-  }
-
   protected async nonStreamChat(
     params: GeminiChatParamsNonStreaming,
   ): Promise<GeminiChatNonStreamResponse> {
     const context = getChatContext(params);
     const client = this.session.getGenerativeModel(this.metadata);
-    const chat = client.startChat(this.createStartChatParams(params));
+    const chat = client.startChat(
+      params.tools
+        ? {
+            history: context.history,
+            tools: [
+              {
+                functionDeclarations: params.tools.map(
+                  mapBaseToolToGeminiFunctionDeclaration,
+                ),
+              },
+            ],
+            safetySettings: DEFAULT_SAFETY_SETTINGS,
+          }
+        : {
+            history: context.history,
+            safetySettings: DEFAULT_SAFETY_SETTINGS,
+          },
+    );
     const { response } = await chat.sendMessage(context.message);
     const topCandidate = response.candidates![0]!;
 
@@ -287,7 +279,26 @@ export class Gemini extends ToolCallLLM<GeminiAdditionalChatOptions> {
   ): GeminiChatStreamResponse {
     const context = getChatContext(params);
     const client = this.session.getGenerativeModel(this.metadata);
-    const chat = client.startChat(this.createStartChatParams(params));
+    const tools = params.tools?.length
+      ? [
+          {
+            functionDeclarations: params.tools.map(
+              mapBaseToolToGeminiFunctionDeclaration,
+            ),
+          },
+        ]
+      : [];
+    const startChatParams = params.tools
+      ? {
+          history: context.history,
+          tools,
+          safetySettings: DEFAULT_SAFETY_SETTINGS,
+        }
+      : {
+          history: context.history,
+          safetySettings: DEFAULT_SAFETY_SETTINGS,
+        };
+    const chat = client.startChat(startChatParams);
     const result = await chat.sendMessageStream(context.message);
     yield* this.session.getChatStream(result);
   }
@@ -336,11 +347,3 @@ export class Gemini extends ToolCallLLM<GeminiAdditionalChatOptions> {
     };
   }
 }
-
-/**
- * Convenience function to create a new Gemini instance.
- * @param init - Optional initialization parameters for the Gemini instance.
- * @returns A new Gemini instance.
- */
-export const gemini = (init?: ConstructorParameters<typeof Gemini>[0]) =>
-  new Gemini(init);

packages/providers/groq/CHANGELOG.md

@@ -1,13 +1,5 @@
 # @llamaindex/groq
 
-## 0.0.59
-
-### Patch Changes
-
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [aea550a]
-  - @llamaindex/openai@0.1.60
-
 ## 0.0.58
 
 ### Patch Changes

packages/providers/groq/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/groq",
   "description": "Groq Adapter for LlamaIndex",
-  "version": "0.0.59",
+  "version": "0.0.58",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/groq/src/index.ts

@@ -1 +1 @@
-export * from "./llm";
+export { Groq } from "./llm";

packages/providers/groq/src/llm.ts

@@ -29,11 +29,3 @@ export class Groq extends OpenAI {
       }) as never;
   }
 }
-
-/**
- * Convenience function to create a new Groq instance.
- * @param init - Optional initialization parameters for the Groq instance.
- * @returns A new Groq instance.
- */
-export const groq = (init?: ConstructorParameters<typeof Groq>[0]) =>
-  new Groq(init);

packages/providers/huggingface/CHANGELOG.md

@@ -1,15 +1,5 @@
 # @llamaindex/huggingface
 
-## 0.0.44
-
-### Patch Changes
-
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [aea550a]
-- Updated dependencies [40ee761]
-  - @llamaindex/openai@0.1.60
-  - @llamaindex/core@0.5.8
-
 ## 0.0.43
 
 ### Patch Changes

packages/providers/huggingface/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/huggingface",
   "description": "Huggingface Adapter for LlamaIndex",
-  "version": "0.0.44",
+  "version": "0.0.43",
   "type": "module",
   "types": "dist/index.d.ts",
   "main": "dist/index.cjs",

packages/providers/huggingface/src/index.ts

@@ -2,7 +2,7 @@ export {
   HuggingFaceEmbedding,
   type HuggingFaceEmbeddingParams,
 } from "./embedding";
-export * from "./llm";
+export { HuggingFaceLLM, type HFLLMConfig } from "./llm";
 export {
   HuggingFaceEmbeddingModelType,
   HuggingFaceInferenceAPI,

packages/providers/huggingface/src/llm.ts

@@ -146,12 +146,3 @@ export class HuggingFaceLLM extends BaseLLM {
     throw new Error("Method not implemented.");
   }
 }
-
-/**
- * Convenience function to create a new HuggingFaceLLM instance.
- * @param init - Optional initialization parameters for the HuggingFaceLLM instance.
- * @returns A new HuggingFaceLLM instance.
- */
-export const huggingface = (
-  init?: ConstructorParameters<typeof HuggingFaceLLM>[0],
-) => new HuggingFaceLLM(init);

packages/providers/jinaai/CHANGELOG.md

@@ -1,14 +1,5 @@
 # @llamaindex/jinaai
 
-## 0.0.4
-
-### Patch Changes
-
-- Updated dependencies [aea550a]
-- Updated dependencies [40ee761]
-  - @llamaindex/openai@0.1.60
-  - @llamaindex/core@0.5.8
-
 ## 0.0.3
 
 ### Patch Changes

packages/providers/jinaai/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/jinaai",
   "description": "JinaAI Adapter for LlamaIndex",
-  "version": "0.0.4",
+  "version": "0.0.3",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",

packages/providers/mistral/CHANGELOG.md

@@ -1,13 +1,5 @@
 # @llamaindex/mistral
 
-## 0.0.13
-
-### Patch Changes
-
-- aea550a: Add factory convenience factory for each LLM provider, e.g. you can use openai instead of 'new OpenAI'
-- Updated dependencies [40ee761]
-  - @llamaindex/core@0.5.8
-
 ## 0.0.12
 
 ### Patch Changes

packages/providers/mistral/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@llamaindex/mistral",
   "description": "Mistral Adapter for LlamaIndex",
-  "version": "0.0.13",
+  "version": "0.0.12",
   "type": "module",
   "main": "./dist/index.cjs",
   "module": "./dist/index.js",