mirror of
https://github.com/run-llama/LlamaIndexTS.git
synced 2026-07-20 02:53:50 -04:00
Compare commits
16 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| a9f1453791 | |||
| 2018c92c73 | |||
| df632315c9 | |||
| 9277279b29 | |||
| b22e5bc75f | |||
| 4f988fc10f | |||
| add575f096 | |||
| bc5334249b | |||
| 41953a3ef9 | |||
| fa66c9ca8e | |||
| 3ee8c83200 | |||
| e919bab568 | |||
| d28b6b7c4f | |||
| 1c7a262ff7 | |||
| 5a1838cc91 | |||
| b9805f4899 |
@@ -0,0 +1,6 @@
|
||||
---
|
||||
"@llamaindex/cloud": patch
|
||||
"llamaindex": patch
|
||||
---
|
||||
|
||||
feat: bump llama cloud sdk
|
||||
@@ -0,0 +1,5 @@
|
||||
---
|
||||
"@llamaindex/workflow": minor
|
||||
---
|
||||
|
||||
Update workflows to llama-flow syntax
|
||||
@@ -0,0 +1,6 @@
|
||||
---
|
||||
"@llamaindex/resolution-tests": patch
|
||||
"llamaindex": patch
|
||||
---
|
||||
|
||||
fix: node10 module resolution fail in sub llamaindex packages
|
||||
@@ -1,5 +1,18 @@
|
||||
# @llamaindex/doc
|
||||
|
||||
## 0.2.15
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- @llamaindex/core@0.6.3
|
||||
- llamaindex@0.10.3
|
||||
- @llamaindex/openai@0.3.5
|
||||
- @llamaindex/cloud@4.0.4
|
||||
- @llamaindex/node-parser@2.0.3
|
||||
- @llamaindex/readers@3.1.1
|
||||
- @llamaindex/workflow@1.0.4
|
||||
|
||||
## 0.2.14
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/doc",
|
||||
"version": "0.2.14",
|
||||
"version": "0.2.15",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"postinstall": "fumadocs-mdx",
|
||||
|
||||
@@ -11,8 +11,3 @@ export const CodeNodeParserDemo = dynamic(() =>
|
||||
(mod) => mod.CodeNodeParserDemo,
|
||||
),
|
||||
);
|
||||
export const WorkflowStreamingDemo = dynamic(() =>
|
||||
import("@/components/demo/workflow-streaming-ui").then(
|
||||
(mod) => mod.WorkflowStreamingDemo,
|
||||
),
|
||||
);
|
||||
|
||||
@@ -1,152 +0,0 @@
|
||||
"use client";
|
||||
import FlowInput from "@/components/flow-input";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import {
|
||||
StartEvent,
|
||||
StopEvent,
|
||||
Workflow,
|
||||
WorkflowEvent,
|
||||
} from "@llamaindex/workflow";
|
||||
import { ReactNode, startTransition, useState } from "react";
|
||||
import { StickToBottom, useStickToBottomContext } from "use-stick-to-bottom";
|
||||
|
||||
class ComputeEvent extends WorkflowEvent<number> {
|
||||
constructor(data: number) {
|
||||
super(data);
|
||||
}
|
||||
}
|
||||
|
||||
class ComputeResultEvent extends WorkflowEvent<number> {
|
||||
constructor(data: number) {
|
||||
super(data);
|
||||
}
|
||||
}
|
||||
|
||||
type ContextData = {
|
||||
sum: number;
|
||||
};
|
||||
|
||||
const workflow = new Workflow<ContextData, number, number>();
|
||||
|
||||
const max = 1000;
|
||||
const min = 100;
|
||||
|
||||
workflow.addStep(
|
||||
{
|
||||
inputs: [StartEvent<number>],
|
||||
outputs: [StopEvent<number>],
|
||||
},
|
||||
async (context, event) => {
|
||||
const total = event.data;
|
||||
for (let i = 0; i < total; i++) {
|
||||
context.sendEvent(new ComputeEvent(i));
|
||||
}
|
||||
console.log("waiting");
|
||||
const computeResults = await Promise.all(
|
||||
Array.from({ length: total }).map(() =>
|
||||
context.requireEvent(ComputeResultEvent),
|
||||
),
|
||||
);
|
||||
context.data.sum = computeResults.reduce(
|
||||
(acc, result) => acc + result.data,
|
||||
0,
|
||||
);
|
||||
console.log("stop");
|
||||
return new StopEvent(context.data.sum);
|
||||
},
|
||||
);
|
||||
|
||||
workflow.addStep(
|
||||
{
|
||||
inputs: [ComputeEvent],
|
||||
outputs: [ComputeResultEvent],
|
||||
},
|
||||
async (context, event) => {
|
||||
await new Promise((resolve) =>
|
||||
setTimeout(resolve, Math.floor(Math.random() * (max - min + 1) + min)),
|
||||
);
|
||||
return new ComputeResultEvent(event.data);
|
||||
},
|
||||
);
|
||||
|
||||
function ScrollToBottom() {
|
||||
const { isAtBottom, scrollToBottom } = useStickToBottomContext();
|
||||
|
||||
return (
|
||||
!isAtBottom && (
|
||||
<button
|
||||
className="i-ph-arrow-circle-down-fill absolute bottom-0 left-[50%] translate-x-[-50%] rounded-lg text-4xl"
|
||||
onClick={() => scrollToBottom()}
|
||||
/>
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
export function WorkflowStreamingDemo() {
|
||||
const [ui, setUI] = useState<ReactNode[]>([
|
||||
<div key={0} className="bg-gray-100 dark:bg-gray-800">
|
||||
Waiting for workflow to start
|
||||
</div>,
|
||||
]);
|
||||
const [total, setTotal] = useState<number>(10);
|
||||
|
||||
return (
|
||||
<div className="flex w-full flex-col items-start gap-2">
|
||||
<div className="flex flex-row items-center justify-center">
|
||||
<div className="mr-2 text-lg">Compute total</div>{" "}
|
||||
<FlowInput value={total} onChange={(value) => setTotal(value)} />
|
||||
</div>
|
||||
<Button
|
||||
onClick={async () => {
|
||||
startTransition(() => {
|
||||
setUI([]);
|
||||
});
|
||||
const context = workflow.run(total, {
|
||||
sum: 0,
|
||||
});
|
||||
let i = 0;
|
||||
for await (const event of context) {
|
||||
console.log(event);
|
||||
if (event instanceof ComputeEvent) {
|
||||
setUI((ui) => [
|
||||
...ui,
|
||||
<div key={i++} className="bg-yellow-100 dark:bg-yellow-800">
|
||||
Computing task id: {event.data}
|
||||
</div>,
|
||||
]);
|
||||
} else if (event instanceof ComputeResultEvent) {
|
||||
setUI((ui) => [
|
||||
...ui,
|
||||
<div key={i++} className="bg-green-100 dark:bg-green-800">
|
||||
Computed task id: {event.data}
|
||||
</div>,
|
||||
]);
|
||||
} else if (event instanceof StartEvent) {
|
||||
setUI((ui) => [
|
||||
...ui,
|
||||
<div key={i++} className="bg-blue-100 dark:bg-blue-800">
|
||||
Started workflow with total {event.data}
|
||||
</div>,
|
||||
]);
|
||||
} else if (event instanceof StopEvent) {
|
||||
setUI((ui) => [
|
||||
...ui,
|
||||
<div key={i++} className="bg-red-100 dark:bg-red-800">
|
||||
Workflow stopped
|
||||
</div>,
|
||||
]);
|
||||
}
|
||||
}
|
||||
}}
|
||||
>
|
||||
Start Workflow
|
||||
</Button>
|
||||
<StickToBottom className="flex max-h-96 w-full flex-col gap-2 overflow-y-auto rounded-lg border border-gray-200 p-2">
|
||||
<StickToBottom.Content className="flex flex-col gap-2">
|
||||
{ui}
|
||||
</StickToBottom.Content>
|
||||
<ScrollToBottom />
|
||||
</StickToBottom>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -1,5 +0,0 @@
|
||||
export type {
|
||||
HandlerContext,
|
||||
Workflow,
|
||||
WorkflowContext,
|
||||
} from "@llamaindex/workflow";
|
||||
@@ -1,5 +1,12 @@
|
||||
# @llamaindex/cloudflare-worker-agent-test
|
||||
|
||||
## 0.0.157
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
|
||||
## 0.0.156
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/cloudflare-worker-agent-test",
|
||||
"version": "0.0.156",
|
||||
"version": "0.0.157",
|
||||
"type": "module",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
|
||||
@@ -1,5 +1,11 @@
|
||||
# @llamaindex/llama-parse-browser-test
|
||||
|
||||
## 0.0.59
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- @llamaindex/cloud@4.0.4
|
||||
|
||||
## 0.0.58
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@llamaindex/llama-parse-browser-test",
|
||||
"private": true,
|
||||
"version": "0.0.58",
|
||||
"version": "0.0.59",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"dev": "vite",
|
||||
@@ -10,8 +10,8 @@
|
||||
},
|
||||
"devDependencies": {
|
||||
"typescript": "^5.7.3",
|
||||
"vite": "^5.4.16",
|
||||
"vite-plugin-wasm": "^3.3.0"
|
||||
"vite": "^6.3.3",
|
||||
"vite-plugin-wasm": "^3.4.1"
|
||||
},
|
||||
"dependencies": {
|
||||
"@llamaindex/cloud": "workspace:*"
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
# @llamaindex/next-agent-test
|
||||
|
||||
## 0.1.157
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
|
||||
## 0.1.156
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/next-agent-test",
|
||||
"version": "0.1.156",
|
||||
"version": "0.1.157",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
# test-edge-runtime
|
||||
|
||||
## 0.1.156
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
|
||||
## 0.1.155
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/nextjs-edge-runtime-test",
|
||||
"version": "0.1.155",
|
||||
"version": "0.1.156",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
|
||||
@@ -1,5 +1,14 @@
|
||||
# @llamaindex/next-node-runtime
|
||||
|
||||
## 0.1.24
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
- @llamaindex/huggingface@0.1.7
|
||||
- @llamaindex/readers@3.1.1
|
||||
|
||||
## 0.1.23
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/next-node-runtime-test",
|
||||
"version": "0.1.23",
|
||||
"version": "0.1.24",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
# vite-import-llamaindex
|
||||
|
||||
## 0.0.23
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
|
||||
## 0.0.22
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "vite-import-llamaindex",
|
||||
"private": true,
|
||||
"version": "0.0.22",
|
||||
"version": "0.0.23",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"build": "vite build",
|
||||
@@ -16,7 +16,7 @@
|
||||
"@size-limit/preset-big-lib": "^11.1.6",
|
||||
"size-limit": "^11.1.6",
|
||||
"typescript": "^5.7.3",
|
||||
"vite": "^5.4.16"
|
||||
"vite": "^6.3.3"
|
||||
},
|
||||
"dependencies": {
|
||||
"llamaindex": "workspace:*"
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
# @llamaindex/waku-query-engine-test
|
||||
|
||||
## 0.0.157
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
|
||||
## 0.0.156
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/waku-query-engine-test",
|
||||
"version": "0.0.156",
|
||||
"version": "0.0.157",
|
||||
"type": "module",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
|
||||
@@ -1,5 +1,55 @@
|
||||
# examples
|
||||
|
||||
## 0.3.13
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- @llamaindex/core@0.6.3
|
||||
- llamaindex@0.10.3
|
||||
- @llamaindex/anthropic@0.3.4
|
||||
- @llamaindex/google@0.2.5
|
||||
- @llamaindex/openai@0.3.5
|
||||
- @llamaindex/vercel@0.1.3
|
||||
- @llamaindex/cloud@4.0.4
|
||||
- @llamaindex/node-parser@2.0.3
|
||||
- @llamaindex/assemblyai@0.1.2
|
||||
- @llamaindex/clip@0.0.53
|
||||
- @llamaindex/cohere@0.0.17
|
||||
- @llamaindex/deepinfra@0.0.53
|
||||
- @llamaindex/discord@0.1.2
|
||||
- @llamaindex/huggingface@0.1.7
|
||||
- @llamaindex/jinaai@0.0.13
|
||||
- @llamaindex/mistral@0.1.3
|
||||
- @llamaindex/mixedbread@0.0.17
|
||||
- @llamaindex/notion@0.1.2
|
||||
- @llamaindex/ollama@0.1.3
|
||||
- @llamaindex/perplexity@0.0.10
|
||||
- @llamaindex/portkey-ai@0.0.45
|
||||
- @llamaindex/replicate@0.0.45
|
||||
- @llamaindex/astra@0.0.17
|
||||
- @llamaindex/azure@0.1.13
|
||||
- @llamaindex/chroma@0.0.17
|
||||
- @llamaindex/elastic-search@0.1.3
|
||||
- @llamaindex/firestore@1.0.10
|
||||
- @llamaindex/milvus@0.1.12
|
||||
- @llamaindex/mongodb@0.0.18
|
||||
- @llamaindex/pinecone@0.1.3
|
||||
- @llamaindex/postgres@0.0.46
|
||||
- @llamaindex/qdrant@0.1.12
|
||||
- @llamaindex/supabase@0.1.2
|
||||
- @llamaindex/upstash@0.0.17
|
||||
- @llamaindex/weaviate@0.0.17
|
||||
- @llamaindex/voyage-ai@1.0.9
|
||||
- @llamaindex/readers@3.1.1
|
||||
- @llamaindex/tools@0.0.8
|
||||
- @llamaindex/workflow@1.0.4
|
||||
- @llamaindex/deepseek@0.0.13
|
||||
- @llamaindex/fireworks@0.0.13
|
||||
- @llamaindex/groq@0.0.68
|
||||
- @llamaindex/together@0.0.13
|
||||
- @llamaindex/vllm@0.0.39
|
||||
|
||||
## 0.3.12
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,12 +1,12 @@
|
||||
import { tool } from "@llamaindex/core/tools";
|
||||
import { openai } from "@llamaindex/openai";
|
||||
import fs from "fs";
|
||||
import {
|
||||
agent,
|
||||
AgentToolCall,
|
||||
AgentToolCallResult,
|
||||
agentToolCallEvent,
|
||||
agentToolCallResultEvent,
|
||||
multiAgent,
|
||||
tool,
|
||||
} from "llamaindex";
|
||||
} from "@llamaindex/workflow";
|
||||
import fs from "fs";
|
||||
import os from "os";
|
||||
import { z } from "zod";
|
||||
|
||||
@@ -56,19 +56,19 @@ async function main() {
|
||||
rootAgent: researchAgent,
|
||||
});
|
||||
|
||||
const context = workflow.run("Write a blog post about history of LLM");
|
||||
const events = workflow.runStream("Write a blog post about history of LLM");
|
||||
|
||||
let finalResult;
|
||||
for await (const event of context) {
|
||||
if (event instanceof AgentToolCall) {
|
||||
for await (const event of events) {
|
||||
if (agentToolCallEvent.include(event)) {
|
||||
console.log(
|
||||
`[Agent ${event.displayName}] executing tool ${event.data.toolName} with parameters ${JSON.stringify(
|
||||
`[Agent ${event.data.agentName}] executing tool ${event.data.toolName} with parameters ${JSON.stringify(
|
||||
event.data.toolKwargs,
|
||||
)}`,
|
||||
);
|
||||
} else if (event instanceof AgentToolCallResult) {
|
||||
} else if (agentToolCallResultEvent.include(event)) {
|
||||
console.log(
|
||||
`[Agent ${event.displayName}] executed tool ${event.data.toolName} with result ${event.data.toolOutput.result}`,
|
||||
`[Tool ${event.data.toolName}] executed with result ${event.data.toolOutput.result}`,
|
||||
);
|
||||
}
|
||||
finalResult = event;
|
||||
@@ -1,5 +1,6 @@
|
||||
import { OpenAI } from "@llamaindex/openai";
|
||||
import { FunctionTool, agent } from "llamaindex";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
import { tool } from "llamaindex";
|
||||
import { z } from "zod";
|
||||
|
||||
const csvData =
|
||||
@@ -11,24 +12,22 @@ const userQuestion = "which are the best comedies after 2010?";
|
||||
// The agent will succeed if we increase `maxTokens` to 1024
|
||||
const llm = new OpenAI({ model: "gpt-4-turbo", maxTokens: 1024 });
|
||||
|
||||
const interpreterTool = FunctionTool.from(
|
||||
({ code }) => {
|
||||
const interpreterTool = tool({
|
||||
name: "interpreter",
|
||||
description:
|
||||
"Execute python code in a Jupyter notebook cell and return any result, stdout, stderr, display_data, and error.",
|
||||
parameters: z.object({
|
||||
code: z.string({
|
||||
description: "The python code to execute in a single cell.",
|
||||
}),
|
||||
}),
|
||||
execute: ({ code }) => {
|
||||
console.log(
|
||||
`To answer the user's question, call the following code:\n${code}`,
|
||||
);
|
||||
return code;
|
||||
},
|
||||
{
|
||||
name: "interpreter",
|
||||
description:
|
||||
"Execute python code in a Jupyter notebook cell and return any result, stdout, stderr, display_data, and error.",
|
||||
parameters: z.object({
|
||||
code: z.string({
|
||||
description: "The python code to execute in a single cell.",
|
||||
}),
|
||||
}),
|
||||
},
|
||||
);
|
||||
});
|
||||
|
||||
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.";
|
||||
@@ -1,6 +1,6 @@
|
||||
import { openai } from "@llamaindex/openai";
|
||||
import { mcp } from "@llamaindex/tools";
|
||||
import { agent } from "llamaindex";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
|
||||
async function main() {
|
||||
// Create an MCP server for filesystem tools
|
||||
+17
-17
@@ -6,15 +6,15 @@
|
||||
import { openai } from "@llamaindex/openai";
|
||||
import {
|
||||
agent,
|
||||
AgentInput,
|
||||
AgentOutput,
|
||||
AgentStream,
|
||||
AgentToolCall,
|
||||
AgentToolCallResult,
|
||||
agentInputEvent,
|
||||
agentOutputEvent,
|
||||
agentStreamEvent,
|
||||
agentToolCallEvent,
|
||||
agentToolCallResultEvent,
|
||||
multiAgent,
|
||||
StopEvent,
|
||||
tool,
|
||||
} from "llamaindex";
|
||||
stopAgentEvent,
|
||||
} from "@llamaindex/workflow";
|
||||
import { tool } from "llamaindex";
|
||||
import { z } from "zod";
|
||||
|
||||
const llm = openai({
|
||||
@@ -79,21 +79,21 @@ async function multiWeatherAgent() {
|
||||
});
|
||||
|
||||
// Ask the agent to get the weather in a city
|
||||
const context = workflow.run(
|
||||
const events = workflow.runStream(
|
||||
"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
|
||||
for await (const event of events) {
|
||||
// These events are useful for reporting the current state to the user in the UI
|
||||
if (
|
||||
event instanceof AgentToolCall ||
|
||||
event instanceof AgentToolCallResult ||
|
||||
event instanceof AgentOutput ||
|
||||
event instanceof AgentInput ||
|
||||
event instanceof StopEvent
|
||||
agentToolCallEvent.include(event) ||
|
||||
agentToolCallResultEvent.include(event) ||
|
||||
agentOutputEvent.include(event) ||
|
||||
agentInputEvent.include(event) ||
|
||||
stopAgentEvent.include(event)
|
||||
) {
|
||||
console.log(event);
|
||||
} else if (event instanceof AgentStream) {
|
||||
} else if (agentStreamEvent.include(event)) {
|
||||
for (const chunk of event.data.delta) {
|
||||
process.stdout.write(chunk);
|
||||
}
|
||||
@@ -1,5 +1,6 @@
|
||||
import { openai } from "@llamaindex/openai";
|
||||
import { agent, tool } from "llamaindex";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
import { tool } from "llamaindex";
|
||||
import { z } from "zod";
|
||||
|
||||
const sumNumbers = tool({
|
||||
@@ -1,11 +1,9 @@
|
||||
import {
|
||||
AgentStream,
|
||||
AgentToolCallResult,
|
||||
Document,
|
||||
VectorStoreIndex,
|
||||
agent,
|
||||
openai,
|
||||
} from "llamaindex";
|
||||
agentStreamEvent,
|
||||
agentToolCallResultEvent,
|
||||
} from "@llamaindex/workflow";
|
||||
import { Document, VectorStoreIndex, openai } from "llamaindex";
|
||||
|
||||
async function main() {
|
||||
const index = await VectorStoreIndex.fromDocuments([
|
||||
@@ -30,15 +28,15 @@ async function main() {
|
||||
],
|
||||
});
|
||||
|
||||
const context = myAgent.run("The fact about cats");
|
||||
const events = myAgent.runStream("The fact about cats");
|
||||
|
||||
for await (const event of context) {
|
||||
if (event instanceof AgentToolCallResult) {
|
||||
for await (const event of events) {
|
||||
if (agentToolCallResultEvent.include(event)) {
|
||||
console.log(
|
||||
"Using these retrieved information to answer the question:\n",
|
||||
event.data.toolOutput.result,
|
||||
);
|
||||
} else if (event instanceof AgentStream) {
|
||||
} else if (agentStreamEvent.include(event)) {
|
||||
for (const chunk of event.data.delta) {
|
||||
process.stdout.write(chunk);
|
||||
}
|
||||
@@ -2,8 +2,8 @@
|
||||
* This example shows how to use a single agent with a tool
|
||||
*/
|
||||
import { openai } from "@llamaindex/openai";
|
||||
import { agent } from "llamaindex";
|
||||
import { getWeatherTool } from "../agent/utils/tools";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
import { getWeatherTool } from "../deprecated/utils/tools";
|
||||
|
||||
async function main() {
|
||||
const weatherAgent = agent({
|
||||
@@ -14,14 +14,14 @@ async function main() {
|
||||
verbose: false,
|
||||
});
|
||||
|
||||
// Run the agent and keep the context
|
||||
const context = weatherAgent.run("What's the weather like in San Francisco?");
|
||||
const result = await context;
|
||||
const result = await weatherAgent.run(
|
||||
"What's the weather like in San Francisco?",
|
||||
);
|
||||
console.log(`${JSON.stringify(result, null, 2)}`);
|
||||
|
||||
// Reuse the context from the previous run
|
||||
// Reuse the state from the previous run
|
||||
const caResult = await weatherAgent.run("Compare it with California?", {
|
||||
context: context.data,
|
||||
state: result.data.state,
|
||||
});
|
||||
console.log(`${JSON.stringify(caResult, null, 2)}`);
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
import { OpenAI } from "@llamaindex/openai";
|
||||
import { wiki } from "@llamaindex/tools";
|
||||
import { AgentStream, agent } from "llamaindex";
|
||||
import { agent, agentStreamEvent } from "@llamaindex/workflow";
|
||||
|
||||
async function main() {
|
||||
const llm = new OpenAI({ model: "gpt-4-turbo" });
|
||||
@@ -12,10 +12,10 @@ async function main() {
|
||||
});
|
||||
|
||||
// Chat with the agent
|
||||
const context = workflow.run("Who was Goethe?");
|
||||
const events = workflow.runStream("Who was Goethe?");
|
||||
|
||||
for await (const event of context) {
|
||||
if (event instanceof AgentStream) {
|
||||
for await (const event of events) {
|
||||
if (agentStreamEvent.include(event)) {
|
||||
for (const chunk of event.data.delta) {
|
||||
process.stdout.write(chunk);
|
||||
}
|
||||
+11
-11
@@ -1,11 +1,11 @@
|
||||
import fs from "fs";
|
||||
import {
|
||||
agent,
|
||||
AgentToolCall,
|
||||
AgentToolCallResult,
|
||||
agentToolCallEvent,
|
||||
agentToolCallResultEvent,
|
||||
multiAgent,
|
||||
tool,
|
||||
} from "llamaindex";
|
||||
} from "@llamaindex/workflow";
|
||||
import fs from "fs";
|
||||
import { tool } from "llamaindex";
|
||||
import { z } from "zod";
|
||||
|
||||
import { anthropic } from "@llamaindex/anthropic";
|
||||
@@ -81,21 +81,21 @@ async function main() {
|
||||
rootAgent: researchAgent,
|
||||
});
|
||||
|
||||
const context = workflow.run(
|
||||
const events = workflow.runStream(
|
||||
"Write a report about New York weather and inflation",
|
||||
);
|
||||
|
||||
let finalResult;
|
||||
for await (const event of context) {
|
||||
if (event instanceof AgentToolCall) {
|
||||
for await (const event of events) {
|
||||
if (agentToolCallEvent.include(event)) {
|
||||
console.log(
|
||||
`[Agent ${event.displayName}] executing tool ${event.data.toolName} with parameters ${JSON.stringify(
|
||||
`[Agent ${event.data.agentName}] executing tool ${event.data.toolName} with parameters ${JSON.stringify(
|
||||
event.data.toolKwargs,
|
||||
)}`,
|
||||
);
|
||||
} else if (event instanceof AgentToolCallResult) {
|
||||
} else if (agentToolCallResultEvent.include(event)) {
|
||||
console.log(
|
||||
`[Agent ${event.displayName}] executed tool ${event.data.toolName} with result ${event.data.toolOutput.result}`,
|
||||
`[Agent executed tool ${event.data.toolName} with result ${event.data.toolOutput.result}`,
|
||||
);
|
||||
}
|
||||
finalResult = event;
|
||||
@@ -1,6 +1,6 @@
|
||||
import { ollama } from "@llamaindex/ollama";
|
||||
import { agent } from "llamaindex";
|
||||
import { getWeatherTool } from "../agent/utils/tools";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
import { getWeatherTool } from "../deprecated/utils/tools";
|
||||
|
||||
async function main() {
|
||||
const myAgent = agent({
|
||||
@@ -0,0 +1,94 @@
|
||||
import { openai } from "@llamaindex/openai";
|
||||
import {
|
||||
createStatefulMiddleware,
|
||||
createWorkflow,
|
||||
workflowEvent,
|
||||
} from "@llamaindex/workflow";
|
||||
|
||||
// Create LLM instance
|
||||
const llm = openai({ model: "gpt-4.1-mini" });
|
||||
|
||||
// Define our workflow events
|
||||
const startEvent = workflowEvent<string>(); // Input topic for joke
|
||||
const jokeEvent = workflowEvent<{ joke: string }>(); // Intermediate joke
|
||||
const critiqueEvent = workflowEvent<{ joke: string; critique: string }>(); // Intermediate critique
|
||||
const resultEvent = workflowEvent<{ joke: string; critique: string }>(); // Final joke + critique
|
||||
|
||||
// Create our workflow
|
||||
const { withState, getContext } = createStatefulMiddleware(() => ({
|
||||
numIterations: 0,
|
||||
maxIterations: 3,
|
||||
}));
|
||||
const jokeFlow = withState(createWorkflow());
|
||||
|
||||
// Define handlers for each step
|
||||
jokeFlow.handle([startEvent], async (event) => {
|
||||
// Prompt the LLM to write a joke
|
||||
const prompt = `Write your best joke about ${event.data}. Write the joke between <joke> and </joke> tags.`;
|
||||
const response = await llm.complete({ prompt });
|
||||
|
||||
// Parse the joke from the response
|
||||
const joke =
|
||||
response.text.match(/<joke>([\s\S]*?)<\/joke>/)?.[1]?.trim() ??
|
||||
response.text;
|
||||
return jokeEvent.with({ joke: joke });
|
||||
});
|
||||
|
||||
jokeFlow.handle([jokeEvent], async (event) => {
|
||||
// Prompt the LLM to critique the joke
|
||||
const prompt = `Give a thorough critique of the following joke. If the joke needs improvement, put "IMPROVE" somewhere in the critique: ${event.data.joke}`;
|
||||
const response = await llm.complete({ prompt });
|
||||
|
||||
// If the critique includes "IMPROVE", keep iterating, else, return the result
|
||||
if (response.text.includes("IMPROVE")) {
|
||||
return critiqueEvent.with({
|
||||
joke: event.data.joke,
|
||||
critique: response.text,
|
||||
});
|
||||
}
|
||||
|
||||
return resultEvent.with({ joke: event.data.joke, critique: response.text });
|
||||
});
|
||||
|
||||
jokeFlow.handle([critiqueEvent], async (event) => {
|
||||
// Keep track of the number of iterations
|
||||
const state = getContext().state;
|
||||
state.numIterations++;
|
||||
|
||||
// Write a new joke based on the previous joke and critique
|
||||
const prompt = `Write a new joke based on the following critique and the original joke. Write the joke between <joke> and </joke> tags.\n\nJoke: ${event.data.joke}\n\nCritique: ${event.data.critique}`;
|
||||
const response = await llm.complete({ prompt });
|
||||
|
||||
// Parse the joke from the response
|
||||
const joke =
|
||||
response.text.match(/<joke>([\s\S]*?)<\/joke>/)?.[1]?.trim() ??
|
||||
response.text;
|
||||
|
||||
// If we've done less than the max number of iterations, keep iterating
|
||||
// else, return the result
|
||||
if (state.numIterations < state.maxIterations) {
|
||||
return jokeEvent.with({ joke: joke });
|
||||
}
|
||||
|
||||
return resultEvent.with({ joke: joke, critique: event.data.critique });
|
||||
});
|
||||
|
||||
// Usage
|
||||
async function main() {
|
||||
const { stream, sendEvent } = jokeFlow.createContext();
|
||||
sendEvent(startEvent.with("pirates"));
|
||||
|
||||
let result: { joke: string; critique: string } | undefined;
|
||||
|
||||
for await (const event of stream) {
|
||||
// console.log(event.data); optionally log the event data
|
||||
if (resultEvent.include(event)) {
|
||||
result = event.data;
|
||||
break; // Stop when we get the final result
|
||||
}
|
||||
}
|
||||
|
||||
console.log(result);
|
||||
}
|
||||
|
||||
main().catch(console.error);
|
||||
@@ -1,6 +1,7 @@
|
||||
import { anthropic } from "@llamaindex/anthropic";
|
||||
import { wiki } from "@llamaindex/tools";
|
||||
import { agent, tool } from "llamaindex";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
import { tool } from "llamaindex";
|
||||
import { z } from "zod";
|
||||
|
||||
const workflow = agent({
|
||||
|
||||
@@ -0,0 +1,39 @@
|
||||
import { Anthropic } from "@llamaindex/anthropic";
|
||||
import fs from "fs";
|
||||
|
||||
// Note that: Anthropic only supports PDF files for now with limited models
|
||||
// See: https://docs.anthropic.com/en/docs/build-with-claude/pdf-support?q=pdf#supported-platforms-and-models
|
||||
|
||||
async function main() {
|
||||
if (!process.env.ANTHROPIC_API_KEY) {
|
||||
throw new Error("Please set the ANTHROPIC_API_KEY environment variable.");
|
||||
}
|
||||
|
||||
const llm = new Anthropic({
|
||||
apiKey: process.env.ANTHROPIC_API_KEY,
|
||||
model: "claude-3-7-sonnet",
|
||||
});
|
||||
|
||||
const result = await llm.chat({
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "What's in this document? Describe it in detail.",
|
||||
},
|
||||
{
|
||||
type: "file",
|
||||
data: fs.readFileSync("./data/manga.pdf"),
|
||||
mimeType: "application/pdf",
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
console.log(result.message);
|
||||
}
|
||||
|
||||
void main().catch(console.error);
|
||||
@@ -1,5 +1,6 @@
|
||||
import { gemini, GEMINI_MODEL } from "@llamaindex/google";
|
||||
import { agent, tool } from "llamaindex";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
import { tool } from "llamaindex";
|
||||
import { z } from "zod";
|
||||
|
||||
const sumNumbers = tool({
|
||||
|
||||
+24
-1
@@ -1,11 +1,12 @@
|
||||
import { Gemini, GEMINI_MODEL } from "@llamaindex/google";
|
||||
import fs from "fs";
|
||||
|
||||
(async () => {
|
||||
if (!process.env.GOOGLE_API_KEY) {
|
||||
throw new Error("Please set the GOOGLE_API_KEY environment variable.");
|
||||
}
|
||||
const gemini = new Gemini({
|
||||
model: GEMINI_MODEL.GEMINI_PRO,
|
||||
model: GEMINI_MODEL.GEMINI_PRO_1_5,
|
||||
});
|
||||
const result = await gemini.chat({
|
||||
messages: [
|
||||
@@ -18,4 +19,26 @@ import { Gemini, GEMINI_MODEL } from "@llamaindex/google";
|
||||
],
|
||||
});
|
||||
console.log(result);
|
||||
|
||||
// chat with file
|
||||
const resultWithFile = await gemini.chat({
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "What's in this document? Describe it in detail.",
|
||||
},
|
||||
{
|
||||
type: "file",
|
||||
data: fs.readFileSync("./data/manga.pdf"),
|
||||
mimeType: "application/pdf",
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
console.log(resultWithFile);
|
||||
})();
|
||||
|
||||
@@ -1,17 +0,0 @@
|
||||
# Run LlamaIndex Server with simple steps
|
||||
|
||||
1. Setup environment variables
|
||||
|
||||
```bash
|
||||
export OPENAI_API_KEY=<your-openai-api-key>
|
||||
```
|
||||
|
||||
2. Run the server
|
||||
|
||||
```bash
|
||||
npx tsx llamaindex-server/simple-workflow/index.ts
|
||||
```
|
||||
|
||||
3. Open the app at `http://localhost:4000` and start chatting with the agent
|
||||
|
||||

|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 118 KiB |
@@ -1,19 +0,0 @@
|
||||
import { OpenAI } from "@llamaindex/openai";
|
||||
import { LlamaIndexServer } from "@llamaindex/server";
|
||||
import { weather } from "@llamaindex/tools";
|
||||
import "dotenv/config";
|
||||
import { agent } from "llamaindex";
|
||||
|
||||
const weatherAgent = agent({
|
||||
tools: [weather()],
|
||||
llm: new OpenAI({ model: "gpt-4o-mini" }),
|
||||
});
|
||||
|
||||
new LlamaIndexServer({
|
||||
workflow: () => weatherAgent,
|
||||
uiConfig: {
|
||||
appTitle: "Weather Agent",
|
||||
starterQuestions: ["Ho Chi Minh city weather", "New York weather"],
|
||||
},
|
||||
port: 4000,
|
||||
}).start();
|
||||
@@ -1,6 +1,8 @@
|
||||
import { mistral } from "@llamaindex/mistral";
|
||||
import { wiki } from "@llamaindex/tools";
|
||||
import { agent, tool } from "llamaindex";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
import { tool } from "llamaindex";
|
||||
|
||||
import { z } from "zod";
|
||||
|
||||
const workflow = agent({
|
||||
|
||||
@@ -1,33 +0,0 @@
|
||||
import { StartEvent, StopEvent, Workflow } from "llamaindex";
|
||||
|
||||
type ContextData = {
|
||||
counter: number;
|
||||
};
|
||||
|
||||
const contextData: ContextData = { counter: 0 };
|
||||
|
||||
const workflow = new Workflow<ContextData, string, string>();
|
||||
|
||||
workflow.addStep(
|
||||
{
|
||||
inputs: [StartEvent<string>],
|
||||
outputs: [StopEvent<string>],
|
||||
},
|
||||
async (context, startEvent) => {
|
||||
const input = startEvent.data;
|
||||
context.data.counter++;
|
||||
return new StopEvent(`Hello, ${input}!`);
|
||||
},
|
||||
);
|
||||
|
||||
{
|
||||
const ret = await workflow.run("Alex", contextData);
|
||||
console.log(ret.data); // Hello, Alex!
|
||||
}
|
||||
|
||||
{
|
||||
const ret = await workflow.run("World", contextData);
|
||||
console.log(ret.data); // Hello, World!
|
||||
}
|
||||
|
||||
console.log(contextData.counter); // 2
|
||||
@@ -1,7 +1,8 @@
|
||||
import { OpenAI, OpenAIEmbedding } from "@llamaindex/openai";
|
||||
import fs from "fs";
|
||||
|
||||
(async () => {
|
||||
const llm = new OpenAI({ model: "gpt-4.5-preview", temperature: 0.1 });
|
||||
const llm = new OpenAI({ model: "gpt-4o" });
|
||||
|
||||
// complete api
|
||||
const response1 = await llm.complete({ prompt: "How are you?" });
|
||||
@@ -13,7 +14,51 @@ import { OpenAI, OpenAIEmbedding } from "@llamaindex/openai";
|
||||
});
|
||||
console.log(response2.message.content);
|
||||
|
||||
// embeddings
|
||||
// chat with file
|
||||
const response3 = await llm.chat({
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "What's in this document? Describe it in detail.",
|
||||
},
|
||||
{
|
||||
type: "file",
|
||||
data: fs.readFileSync("./data/manga.pdf"),
|
||||
mimeType: "application/pdf",
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
console.log(response3.message.content);
|
||||
|
||||
// chat with image
|
||||
const response4 = await llm.chat({
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "What's in this image? Describe it in detail.",
|
||||
},
|
||||
{
|
||||
type: "image_url",
|
||||
image_url: {
|
||||
url: "https://storage.googleapis.com/cloud-samples-data/vision/face/faces.jpeg",
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
console.log("Single Image Analysis:", response4.message.content);
|
||||
|
||||
// // embeddings
|
||||
const embedModel = new OpenAIEmbedding();
|
||||
const texts = ["hello", "world"];
|
||||
const embeddings = await embedModel.getTextEmbeddingsBatch(texts);
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import { openaiResponses } from "@llamaindex/openai";
|
||||
import { wiki } from "@llamaindex/tools";
|
||||
import { agent, tool } from "llamaindex";
|
||||
import { agent } from "@llamaindex/workflow";
|
||||
import { tool } from "llamaindex";
|
||||
import { z } from "zod";
|
||||
|
||||
const workflow = agent({
|
||||
|
||||
@@ -0,0 +1,35 @@
|
||||
import { openaiResponses } from "@llamaindex/openai";
|
||||
import fs from "fs";
|
||||
|
||||
async function main() {
|
||||
if (!process.env.OPENAI_API_KEY) {
|
||||
throw new Error("Please set the OPENAI_API_KEY environment variable.");
|
||||
}
|
||||
|
||||
const llm = openaiResponses({
|
||||
apiKey: process.env.OPENAI_API_KEY,
|
||||
});
|
||||
|
||||
const result = await llm.chat({
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "What's in this document? Describe it in detail.",
|
||||
},
|
||||
{
|
||||
type: "file",
|
||||
data: fs.readFileSync("./data/manga.pdf"),
|
||||
mimeType: "application/pdf",
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
console.log(result);
|
||||
}
|
||||
|
||||
void main().catch(console.error);
|
||||
+45
-46
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/examples",
|
||||
"version": "0.3.12",
|
||||
"version": "0.3.13",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"lint": "eslint .",
|
||||
@@ -11,60 +11,59 @@
|
||||
"@azure/cosmos": "^4.1.1",
|
||||
"@azure/identity": "^4.4.1",
|
||||
"@azure/search-documents": "^12.1.0",
|
||||
"@llamaindex/anthropic": "^0.3.3",
|
||||
"@llamaindex/astra": "^0.0.16",
|
||||
"@llamaindex/azure": "^0.1.12",
|
||||
"@llamaindex/chroma": "^0.0.16",
|
||||
"@llamaindex/clip": "^0.0.52",
|
||||
"@llamaindex/cloud": "^4.0.3",
|
||||
"@llamaindex/cohere": "^0.0.16",
|
||||
"@llamaindex/core": "^0.6.2",
|
||||
"@llamaindex/deepinfra": "^0.0.52",
|
||||
"@llamaindex/anthropic": "^0.3.4",
|
||||
"@llamaindex/astra": "^0.0.17",
|
||||
"@llamaindex/azure": "^0.1.13",
|
||||
"@llamaindex/chroma": "^0.0.17",
|
||||
"@llamaindex/clip": "^0.0.53",
|
||||
"@llamaindex/cloud": "^4.0.4",
|
||||
"@llamaindex/cohere": "^0.0.17",
|
||||
"@llamaindex/core": "^0.6.3",
|
||||
"@llamaindex/deepinfra": "^0.0.53",
|
||||
"@llamaindex/env": "^0.1.29",
|
||||
"@llamaindex/firestore": "^1.0.9",
|
||||
"@llamaindex/google": "^0.2.4",
|
||||
"@llamaindex/groq": "^0.0.67",
|
||||
"@llamaindex/huggingface": "^0.1.6",
|
||||
"@llamaindex/milvus": "^0.1.11",
|
||||
"@llamaindex/mistral": "^0.1.2",
|
||||
"@llamaindex/mixedbread": "^0.0.16",
|
||||
"@llamaindex/mongodb": "^0.0.17",
|
||||
"@llamaindex/elastic-search": "^0.1.2",
|
||||
"@llamaindex/node-parser": "^2.0.2",
|
||||
"@llamaindex/ollama": "^0.1.2",
|
||||
"@llamaindex/openai": "^0.3.4",
|
||||
"@llamaindex/pinecone": "^0.1.2",
|
||||
"@llamaindex/portkey-ai": "^0.0.44",
|
||||
"@llamaindex/postgres": "^0.0.45",
|
||||
"@llamaindex/qdrant": "^0.1.11",
|
||||
"@llamaindex/readers": "^3.1.0",
|
||||
"@llamaindex/replicate": "^0.0.44",
|
||||
"@llamaindex/upstash": "^0.0.16",
|
||||
"@llamaindex/vercel": "^0.1.2",
|
||||
"@llamaindex/vllm": "^0.0.38",
|
||||
"@llamaindex/voyage-ai": "^1.0.8",
|
||||
"@llamaindex/weaviate": "^0.0.16",
|
||||
"@llamaindex/workflow": "^1.0.3",
|
||||
"@llamaindex/deepseek": "^0.0.12",
|
||||
"@llamaindex/fireworks": "^0.0.12",
|
||||
"@llamaindex/together": "^0.0.12",
|
||||
"@llamaindex/jinaai": "^0.0.12",
|
||||
"@llamaindex/perplexity": "^0.0.9",
|
||||
"@llamaindex/server": "^0.1.6",
|
||||
"@llamaindex/supabase": "^0.1.1",
|
||||
"@llamaindex/tools": "^0.0.7",
|
||||
"@llamaindex/firestore": "^1.0.10",
|
||||
"@llamaindex/google": "^0.2.5",
|
||||
"@llamaindex/groq": "^0.0.68",
|
||||
"@llamaindex/huggingface": "^0.1.7",
|
||||
"@llamaindex/milvus": "^0.1.12",
|
||||
"@llamaindex/mistral": "^0.1.3",
|
||||
"@llamaindex/mixedbread": "^0.0.17",
|
||||
"@llamaindex/mongodb": "^0.0.18",
|
||||
"@llamaindex/elastic-search": "^0.1.3",
|
||||
"@llamaindex/node-parser": "^2.0.3",
|
||||
"@llamaindex/ollama": "^0.1.3",
|
||||
"@llamaindex/openai": "^0.3.5",
|
||||
"@llamaindex/pinecone": "^0.1.3",
|
||||
"@llamaindex/portkey-ai": "^0.0.45",
|
||||
"@llamaindex/postgres": "^0.0.46",
|
||||
"@llamaindex/qdrant": "^0.1.12",
|
||||
"@llamaindex/readers": "^3.1.1",
|
||||
"@llamaindex/replicate": "^0.0.45",
|
||||
"@llamaindex/upstash": "^0.0.17",
|
||||
"@llamaindex/vercel": "^0.1.3",
|
||||
"@llamaindex/vllm": "^0.0.39",
|
||||
"@llamaindex/voyage-ai": "^1.0.9",
|
||||
"@llamaindex/weaviate": "^0.0.17",
|
||||
"@llamaindex/workflow": "^1.0.4",
|
||||
"@llamaindex/deepseek": "^0.0.13",
|
||||
"@llamaindex/fireworks": "^0.0.13",
|
||||
"@llamaindex/together": "^0.0.13",
|
||||
"@llamaindex/jinaai": "^0.0.13",
|
||||
"@llamaindex/perplexity": "^0.0.10",
|
||||
"@llamaindex/supabase": "^0.1.2",
|
||||
"@llamaindex/tools": "^0.0.8",
|
||||
"@notionhq/client": "^2.2.15",
|
||||
"@pinecone-database/pinecone": "^4.0.0",
|
||||
"@llamaindex/assemblyai": "^0.1.1",
|
||||
"@llamaindex/discord": "^0.1.1",
|
||||
"@llamaindex/notion": "^0.1.1",
|
||||
"@llamaindex/assemblyai": "^0.1.2",
|
||||
"@llamaindex/discord": "^0.1.2",
|
||||
"@llamaindex/notion": "^0.1.2",
|
||||
"@vercel/postgres": "^0.10.0",
|
||||
"ai": "^4.0.0",
|
||||
"ajv": "^8.17.1",
|
||||
"commander": "^12.1.0",
|
||||
"dotenv": "^16.4.5",
|
||||
"js-tiktoken": "^1.0.14",
|
||||
"llamaindex": "^0.10.2",
|
||||
"llamaindex": "^0.10.3",
|
||||
"mongodb": "6.7.0",
|
||||
"postgres": "^3.4.4",
|
||||
"wikipedia": "^2.1.2",
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
# @llamaindex/autotool
|
||||
|
||||
## 7.0.3
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
|
||||
## 7.0.2
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,5 +1,13 @@
|
||||
# @llamaindex/autotool-01-node-example
|
||||
|
||||
## 0.0.104
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
- @llamaindex/autotool@7.0.3
|
||||
|
||||
## 0.0.103
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -13,5 +13,5 @@
|
||||
"scripts": {
|
||||
"start": "node --import tsx --import @llamaindex/autotool/node ./src/index.ts"
|
||||
},
|
||||
"version": "0.0.103"
|
||||
"version": "0.0.104"
|
||||
}
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
"url": "git+https://github.com/run-llama/LlamaIndexTS.git",
|
||||
"directory": "packages/autotool"
|
||||
},
|
||||
"version": "7.0.2",
|
||||
"version": "7.0.3",
|
||||
"description": "auto transpile your JS function to LLM Agent compatible",
|
||||
"files": [
|
||||
"dist",
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
# @llamaindex/cloud
|
||||
|
||||
## 4.0.4
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- @llamaindex/core@0.6.3
|
||||
|
||||
## 4.0.3
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -2,15 +2,6 @@
|
||||
|
||||
> LlamaCloud is a new generation of managed parsing, ingestion, and retrieval services, designed to bring production-grade context-augmentation to your LLM and RAG applications.
|
||||
|
||||
## Usage
|
||||
|
||||
```ts
|
||||
import { OpenAPI } from "@llamaindex/cloud/api";
|
||||
OpenAPI.TOKEN = "YOUR_API_KEY";
|
||||
OpenAPI.BASE = "https://api.cloud.llamaindex.ai/";
|
||||
// ...
|
||||
```
|
||||
|
||||
For more information, see the [API documentation](https://docs.cloud.llamaindex.ai/).
|
||||
|
||||
## License
|
||||
|
||||
@@ -1,22 +1,19 @@
|
||||
import { defineConfig } from "@hey-api/openapi-ts";
|
||||
import { defaultPlugins, defineConfig } from "@hey-api/openapi-ts";
|
||||
|
||||
export default defineConfig({
|
||||
// you can download this file to get the latest version of the OpenAPI document
|
||||
// @link https://api.cloud.llamaindex.ai/api/openapi.json
|
||||
input: "./openapi.json",
|
||||
client: "@hey-api/client-fetch",
|
||||
output: {
|
||||
path: "./src/client",
|
||||
format: "prettier",
|
||||
lint: "eslint",
|
||||
},
|
||||
plugins: [
|
||||
"@hey-api/schemas",
|
||||
"@hey-api/sdk",
|
||||
...defaultPlugins,
|
||||
"@hey-api/client-fetch",
|
||||
{
|
||||
enums: "javascript",
|
||||
identifierCase: "preserve",
|
||||
name: "@hey-api/typescript",
|
||||
name: "@hey-api/sdk",
|
||||
},
|
||||
],
|
||||
});
|
||||
|
||||
+2975
-4384
File diff suppressed because it is too large
Load Diff
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/cloud",
|
||||
"version": "4.0.3",
|
||||
"version": "4.0.4",
|
||||
"type": "module",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
@@ -55,8 +55,8 @@
|
||||
"directory": "packages/cloud"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@hey-api/client-fetch": "^0.6.0",
|
||||
"@hey-api/openapi-ts": "^0.61.0",
|
||||
"@hey-api/client-fetch": "^0.10.0",
|
||||
"@hey-api/openapi-ts": "^0.66.7",
|
||||
"@llamaindex/core": "workspace:*",
|
||||
"@llamaindex/env": "workspace:*"
|
||||
},
|
||||
|
||||
@@ -1 +1,11 @@
|
||||
import { client } from "./client/client.gen";
|
||||
|
||||
client.setConfig({
|
||||
baseUrl: "https://api.cloud.llamaindex.ai/",
|
||||
headers: {
|
||||
"X-SDK-Name": "llamaindex-ts",
|
||||
},
|
||||
});
|
||||
|
||||
export * from "./client";
|
||||
export { client };
|
||||
|
||||
@@ -4,7 +4,8 @@ import { Document, FileReader } from "@llamaindex/core/schema";
|
||||
import { fs, getEnv, path } from "@llamaindex/env";
|
||||
import pRetry from "p-retry";
|
||||
import {
|
||||
type Body_upload_file_api_v1_parsing_upload_post,
|
||||
type BodyUploadFileApiParsingUploadPost,
|
||||
type FailPageMode,
|
||||
type ParserLanguages,
|
||||
type ParsingMode,
|
||||
getJobApiV1ParsingJobJobIdGet,
|
||||
@@ -162,6 +163,15 @@ export class LlamaParseReader extends FileReader {
|
||||
content_guideline_instruction?: string | undefined;
|
||||
adaptive_long_table?: boolean | undefined;
|
||||
model?: string | undefined;
|
||||
auto_mode_configuration_json?: string | undefined;
|
||||
compact_markdown_table?: boolean | undefined;
|
||||
markdown_table_multiline_header_separator?: string | undefined;
|
||||
page_error_tolerance?: number | undefined;
|
||||
replace_failed_page_mode?: FailPageMode | undefined;
|
||||
replace_failed_page_with_error_message_prefix?: string | undefined;
|
||||
replace_failed_page_with_error_message_suffix?: string | undefined;
|
||||
save_images?: boolean | undefined;
|
||||
preset?: string | undefined;
|
||||
|
||||
constructor(
|
||||
params: Partial<Omit<LlamaParseReader, "language" | "apiKey">> & {
|
||||
@@ -331,11 +341,23 @@ export class LlamaParseReader extends FileReader {
|
||||
content_guideline_instruction: this.content_guideline_instruction,
|
||||
adaptive_long_table: this.adaptive_long_table,
|
||||
model: this.model,
|
||||
auto_mode_configuration_json: this.auto_mode_configuration_json,
|
||||
compact_markdown_table: this.compact_markdown_table,
|
||||
markdown_table_multiline_header_separator:
|
||||
this.markdown_table_multiline_header_separator,
|
||||
page_error_tolerance: this.page_error_tolerance,
|
||||
replace_failed_page_mode: this.replace_failed_page_mode,
|
||||
replace_failed_page_with_error_message_prefix:
|
||||
this.replace_failed_page_with_error_message_prefix,
|
||||
replace_failed_page_with_error_message_suffix:
|
||||
this.replace_failed_page_with_error_message_suffix,
|
||||
save_images: this.save_images,
|
||||
preset: this.preset,
|
||||
} satisfies {
|
||||
[Key in keyof Body_upload_file_api_v1_parsing_upload_post]-?:
|
||||
| Body_upload_file_api_v1_parsing_upload_post[Key]
|
||||
[Key in keyof BodyUploadFileApiParsingUploadPost]-?:
|
||||
| BodyUploadFileApiParsingUploadPost[Key]
|
||||
| undefined;
|
||||
} as unknown as Body_upload_file_api_v1_parsing_upload_post;
|
||||
} as unknown as BodyUploadFileApiParsingUploadPost;
|
||||
|
||||
const response = await uploadFileApiV1ParsingUploadPost({
|
||||
client: this.#client,
|
||||
@@ -382,10 +404,6 @@ export class LlamaParseReader extends FileReader {
|
||||
client: this.#client,
|
||||
throwOnError: true,
|
||||
path: { job_id: jobId },
|
||||
query: {
|
||||
project_id: this.project_id ?? null,
|
||||
organization_id: this.organization_id ?? null,
|
||||
},
|
||||
signal: AbortSignal.timeout(this.maxTimeout * 1000),
|
||||
}),
|
||||
{
|
||||
@@ -431,7 +449,6 @@ export class LlamaParseReader extends FileReader {
|
||||
throwOnError: true,
|
||||
path: { job_id: jobId },
|
||||
query: {
|
||||
project_id: this.project_id ?? null,
|
||||
organization_id: this.organization_id ?? null,
|
||||
},
|
||||
signal: AbortSignal.timeout(this.maxTimeout * 1000),
|
||||
@@ -445,7 +462,6 @@ export class LlamaParseReader extends FileReader {
|
||||
throwOnError: true,
|
||||
path: { job_id: jobId },
|
||||
query: {
|
||||
project_id: this.project_id ?? null,
|
||||
organization_id: this.organization_id ?? null,
|
||||
},
|
||||
signal: AbortSignal.timeout(this.maxTimeout * 1000),
|
||||
@@ -459,7 +475,6 @@ export class LlamaParseReader extends FileReader {
|
||||
throwOnError: true,
|
||||
path: { job_id: jobId },
|
||||
query: {
|
||||
project_id: this.project_id ?? null,
|
||||
organization_id: this.organization_id ?? null,
|
||||
},
|
||||
signal: AbortSignal.timeout(this.maxTimeout * 1000),
|
||||
@@ -689,10 +704,6 @@ export class LlamaParseReader extends FileReader {
|
||||
job_id: jobId,
|
||||
name: imageName,
|
||||
},
|
||||
query: {
|
||||
project_id: this.project_id ?? null,
|
||||
organization_id: this.organization_id ?? null,
|
||||
},
|
||||
});
|
||||
if (response.error) {
|
||||
throw new Error(`Failed to download image: ${response.error.detail}`);
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
# @llamaindex/community
|
||||
|
||||
## 0.0.97
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- @llamaindex/core@0.6.3
|
||||
|
||||
## 0.0.96
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@llamaindex/community",
|
||||
"description": "Community package for LlamaIndexTS",
|
||||
"version": "0.0.96",
|
||||
"version": "0.0.97",
|
||||
"type": "module",
|
||||
"types": "dist/type/index.d.ts",
|
||||
"main": "dist/cjs/index.js",
|
||||
|
||||
@@ -1,5 +1,11 @@
|
||||
# @llamaindex/core
|
||||
|
||||
## 0.6.3
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- 3ee8c83: feat: support file content type in message content
|
||||
|
||||
## 0.6.2
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@llamaindex/core",
|
||||
"type": "module",
|
||||
"version": "0.6.2",
|
||||
"version": "0.6.3",
|
||||
"description": "LlamaIndex Core Module",
|
||||
"exports": {
|
||||
"./agent": {
|
||||
|
||||
@@ -17,6 +17,7 @@ export type {
|
||||
LLMMetadata,
|
||||
MessageContent,
|
||||
MessageContentDetail,
|
||||
MessageContentFileDetail,
|
||||
MessageContentImageDetail,
|
||||
MessageContentTextDetail,
|
||||
MessageType,
|
||||
|
||||
@@ -163,9 +163,16 @@ export type MessageContentImageDetail = {
|
||||
detail?: "high" | "low" | "auto";
|
||||
};
|
||||
|
||||
export type MessageContentFileDetail = {
|
||||
type: "file";
|
||||
data: Buffer;
|
||||
mimeType: string;
|
||||
};
|
||||
|
||||
export type MessageContentDetail =
|
||||
| MessageContentTextDetail
|
||||
| MessageContentImageDetail;
|
||||
| MessageContentImageDetail
|
||||
| MessageContentFileDetail;
|
||||
|
||||
/**
|
||||
* Extended type for the content of a message that allows for multi-modal messages.
|
||||
|
||||
@@ -1,5 +1,12 @@
|
||||
# @llamaindex/experimental
|
||||
|
||||
## 0.0.173
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- llamaindex@0.10.3
|
||||
|
||||
## 0.0.172
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "@llamaindex/experimental",
|
||||
"description": "Experimental package for LlamaIndexTS",
|
||||
"version": "0.0.172",
|
||||
"version": "0.0.173",
|
||||
"type": "module",
|
||||
"types": "dist/type/index.d.ts",
|
||||
"main": "dist/cjs/index.js",
|
||||
|
||||
@@ -1,5 +1,17 @@
|
||||
# llamaindex
|
||||
|
||||
## 0.10.3
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- 3ee8c83: feat: support file content type in message content
|
||||
- Updated dependencies [3ee8c83]
|
||||
- @llamaindex/core@0.6.3
|
||||
- @llamaindex/openai@0.3.5
|
||||
- @llamaindex/cloud@4.0.4
|
||||
- @llamaindex/node-parser@2.0.3
|
||||
- @llamaindex/workflow@1.0.4
|
||||
|
||||
## 0.10.2
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "llamaindex",
|
||||
"version": "0.10.2",
|
||||
"version": "0.10.3",
|
||||
"license": "MIT",
|
||||
"type": "module",
|
||||
"keywords": [
|
||||
@@ -25,7 +25,7 @@
|
||||
"@llamaindex/env": "workspace:*",
|
||||
"@llamaindex/node-parser": "workspace:*",
|
||||
"@llamaindex/openai": "workspace:*",
|
||||
"@llamaindex/workflow": "workspace:*",
|
||||
"@llamaindex/workflow": "1.0.4",
|
||||
"@types/lodash": "^4.17.7",
|
||||
"@types/node": "^22.9.0",
|
||||
"ajv": "^8.17.1",
|
||||
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -1,5 +1,5 @@
|
||||
import {
|
||||
addFilesToPipelineApiV1PipelinesPipelineIdFilesPut,
|
||||
addFilesToPipelineApiApiV1PipelinesPipelineIdFilesPut,
|
||||
getPipelineFileStatusApiV1PipelinesPipelineIdFilesFileIdStatusGet,
|
||||
listPipelineFilesApiV1PipelinesPipelineIdFilesGet,
|
||||
listProjectsApiV1ProjectsGet,
|
||||
@@ -56,7 +56,7 @@ export class LLamaCloudFileService {
|
||||
custom_metadata: { file_id: file.id, ...customMetadata },
|
||||
},
|
||||
];
|
||||
await addFilesToPipelineApiV1PipelinesPipelineIdFilesPut({
|
||||
await addFilesToPipelineApiApiV1PipelinesPipelineIdFilesPut({
|
||||
path: {
|
||||
pipeline_id: pipelineId,
|
||||
},
|
||||
|
||||
@@ -18,7 +18,7 @@ import {
|
||||
deletePipelineDocumentApiV1PipelinesPipelineIdDocumentsDocumentIdDelete,
|
||||
getPipelineDocumentStatusApiV1PipelinesPipelineIdDocumentsDocumentIdStatusGet,
|
||||
getPipelineStatusApiV1PipelinesPipelineIdStatusGet,
|
||||
type PipelineCreate,
|
||||
type PipelineCreateReadable,
|
||||
searchPipelinesApiV1PipelinesGet,
|
||||
upsertBatchPipelineDocumentsApiV1PipelinesPipelineIdDocumentsPut,
|
||||
upsertPipelineApiV1PipelinesPut,
|
||||
@@ -182,8 +182,8 @@ export class LlamaCloudIndex {
|
||||
verbose?: boolean;
|
||||
} & CloudConstructorParams,
|
||||
config?: {
|
||||
embedding: PipelineCreate["embedding_config"];
|
||||
transform: PipelineCreate["transform_config"];
|
||||
embedding: PipelineCreateReadable["embedding_config"];
|
||||
transform: PipelineCreateReadable["transform_config"];
|
||||
},
|
||||
): Promise<LlamaCloudIndex> {
|
||||
const index = new LlamaCloudIndex({ ...params });
|
||||
@@ -348,8 +348,8 @@ export class LlamaCloudIndex {
|
||||
}
|
||||
|
||||
public async ensureIndex(config?: {
|
||||
embedding?: PipelineCreate["embedding_config"];
|
||||
transform?: PipelineCreate["transform_config"];
|
||||
embedding?: PipelineCreateReadable["embedding_config"];
|
||||
transform?: PipelineCreateReadable["transform_config"];
|
||||
verbose?: boolean;
|
||||
}): Promise<void> {
|
||||
const projectId = await this.getProjectId();
|
||||
|
||||
@@ -51,7 +51,7 @@ export class QueryEngineTool implements BaseTool<QueryEngineParam> {
|
||||
const response = await this.queryEngine.query({ query });
|
||||
|
||||
if (!this.includeSourceNodes) {
|
||||
return { content: response.message.content };
|
||||
return { content: response.message.content } as unknown as JSONValue;
|
||||
}
|
||||
|
||||
return {
|
||||
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -0,0 +1,8 @@
|
||||
{
|
||||
"type": "module",
|
||||
"main": "./dist/index.cjs",
|
||||
"module": "./dist/index.js",
|
||||
"types": "./dist/index.d.ts",
|
||||
"exports": "./dist/index.js",
|
||||
"private": true
|
||||
}
|
||||
@@ -1,5 +1,12 @@
|
||||
# @llamaindex/node-parser
|
||||
|
||||
## 2.0.3
|
||||
|
||||
### Patch Changes
|
||||
|
||||
- Updated dependencies [3ee8c83]
|
||||
- @llamaindex/core@0.6.3
|
||||
|
||||
## 2.0.2
|
||||
|
||||
### Patch Changes
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@llamaindex/node-parser",
|
||||
"version": "2.0.2",
|
||||
"version": "2.0.3",
|
||||
"description": "Node parser for LlamaIndex",
|
||||
"type": "module",
|
||||
"exports": {
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user