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Merge branch 'main' into feat/agentflow-logger
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‎.github/workflows/docker-image-ecr.yml‎

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required: true
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default: 'latest'
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permissions:
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contents: read # Required for checkout
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id-token: write # Required for AWS OIDC
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jobs:
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docker:
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runs-on: ubuntu-latest
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uses: docker/setup-buildx-action@v3.0.0
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- name: Configure AWS Credentials
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if: ${{ inputs.environment != 'prod' }}
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uses: aws-actions/configure-aws-credentials@v3
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with:
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aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
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aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
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aws-region: ${{ secrets.AWS_REGION }}
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- name: Configure AWS OIDC Credentials
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if: ${{ inputs.environment == 'prod' }}
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uses: aws-actions/configure-aws-credentials@8df5847569e6427dd6c4fb1cf565c83acfa8afa7 # v6.0.0
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with:
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aws-region: ${{ secrets.AWS_REGION }}
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role-to-assume: ${{ secrets.AWS_OIDC_IAM_ROLE }}
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mask-aws-account-id: true
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unset-current-credentials: true
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- name: Login to Amazon ECR
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uses: aws-actions/amazon-ecr-login@v1
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‎.husky/pre-commit‎

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‎packages/agentflow/ARCHITECTURE.md‎

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# @flowise/agentflow - Architecture
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# @flowiseai/agentflow - Architecture
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This document describes the internal architecture of the `@flowise/agentflow` package.
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This document describes the internal architecture of the `@flowiseai/agentflow` package.
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## Overview
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‎packages/agentflow/README.md‎

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# @flowise/agentflow
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# @flowiseai/agentflow
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[![Version](https://img.shields.io/npm/v/@flowise/agentflow)](https://www.npmjs.com/package/@flowise/agentflow)
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[![Version](https://img.shields.io/npm/v/@flowiseai/agentflow)](https://www.npmjs.com/package/@flowiseai/agentflow)
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[![License](https://img.shields.io/badge/license-Apache--2.0-blue)](https://github.com/FlowiseAI/Flowise/blob/main/LICENSE.md)
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> Embeddable React component for building and visualizing AI agent workflows
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## Overview
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`@flowise/agentflow` is a React-based flow editor for creating AI agent workflows. It provides a visual canvas built on ReactFlow for connecting AI agents, LLMs, tools, and logic nodes.
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`@flowiseai/agentflow` is a React-based flow editor for creating AI agent workflows. It provides a visual canvas built on ReactFlow for connecting AI agents, LLMs, tools, and logic nodes.
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## Installation
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```bash
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pnpm add @flowise/agentflow
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pnpm add @flowiseai/agentflow
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```
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**Peer Dependencies:**
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## Basic Usage
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```tsx
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import { Agentflow } from '@flowise/agentflow'
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import { Agentflow } from '@flowiseai/agentflow'
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import '@flowise/agentflow/flowise.css'
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import '@flowiseai/agentflow/flowise.css'
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export default function App() {
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return (
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```tsx
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import { useRef } from 'react'
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import { Agentflow, type AgentFlowInstance, type FlowData } from '@flowise/agentflow'
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import { Agentflow, type AgentFlowInstance, type FlowData } from '@flowiseai/agentflow'
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import '@flowise/agentflow/flowise.css'
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import '@flowiseai/agentflow/flowise.css'
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export default function App() {
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const ref = useRef<AgentFlowInstance>(null)
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## Props
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| Prop | Type | Default | Description |
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|------|------|---------|-------------|
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| `apiBaseUrl` | `string` | **(required)** | Flowise API server endpoint |
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| `token` | `string` | — | Authentication token for API calls |
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| `initialFlow` | `FlowData` | — | Initial flow data to render (uncontrolled — only used on mount) |
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| `components` | `string[]` | — | Restrict which node types appear in the palette |
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| `onFlowChange` | `(flow: FlowData) => void` | — | Called when the flow changes (node/edge add, remove, move) |
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| `onSave` | `(flow: FlowData) => void` | — | Called when the user triggers a save |
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| `onFlowGenerated` | `(flow: FlowData) => void` | — | Called when a flow is generated via AI |
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| `isDarkMode` | `boolean` | `false` | Use dark mode theme |
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| `readOnly` | `boolean` | `false` | Disable editing (nodes not draggable/connectable) |
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| `showDefaultHeader` | `boolean` | `true` | Show built-in header (ignored if `renderHeader` provided) |
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| `showDefaultPalette` | `boolean` | `true` | Show built-in node palette |
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| `enableGenerator` | `boolean` | `true` | Show the AI flow generator button |
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| `renderHeader` | `(props: HeaderRenderProps) => ReactNode` | — | Custom header renderer |
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| `renderNodePalette` | `(props: PaletteRenderProps) => ReactNode` | — | Custom node palette renderer |
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| Prop | Type | Default | Description |
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| -------------------- | ------------------------------------------ | -------------- | --------------------------------------------------------------- |
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| `apiBaseUrl` | `string` | **(required)** | Flowise API server endpoint |
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| `token` | `string` | — | Authentication token for API calls |
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| `initialFlow` | `FlowData` | — | Initial flow data to render (uncontrolled — only used on mount) |
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| `components` | `string[]` | — | Restrict which node types appear in the palette |
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| `onFlowChange` | `(flow: FlowData) => void` | — | Called when the flow changes (node/edge add, remove, move) |
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| `onSave` | `(flow: FlowData) => void` | — | Called when the user triggers a save |
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| `onFlowGenerated` | `(flow: FlowData) => void` | — | Called when a flow is generated via AI |
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| `isDarkMode` | `boolean` | `false` | Use dark mode theme |
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| `readOnly` | `boolean` | `false` | Disable editing (nodes not draggable/connectable) |
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| `showDefaultHeader` | `boolean` | `true` | Show built-in header (ignored if `renderHeader` provided) |
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| `showDefaultPalette` | `boolean` | `true` | Show built-in node palette |
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| `enableGenerator` | `boolean` | `true` | Show the AI flow generator button |
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| `renderHeader` | `(props: HeaderRenderProps) => ReactNode` | — | Custom header renderer |
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| `renderNodePalette` | `(props: PaletteRenderProps) => ReactNode` | — | Custom node palette renderer |
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### Imperative Methods (via `ref`)
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| Method | Return Type | Description |
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|--------|-------------|-------------|
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| `getFlow()` | `FlowData` | Get current flow data |
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| `toJSON()` | `string` | Export flow as JSON string |
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| `validate()` | `ValidationResult` | Validate the current flow |
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| `fitView()` | `void` | Fit all nodes into view |
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| `clear()` | `void` | Remove all nodes and edges |
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| `addNode(nodeData)` | `void` | Add a node (`Partial<FlowNode>`) |
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| Method | Return Type | Description |
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| ------------------- | ------------------ | -------------------------------- |
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| `getFlow()` | `FlowData` | Get current flow data |
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| `toJSON()` | `string` | Export flow as JSON string |
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| `validate()` | `ValidationResult` | Validate the current flow |
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| `fitView()` | `void` | Fit all nodes into view |
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| `clear()` | `void` | Remove all nodes and edges |
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| `addNode(nodeData)` | `void` | Add a node (`Partial<FlowNode>`) |
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### Design Note
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### Publish
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# Prerelease — tagged so `npm install @flowiseai/agentflow` won't pick it up
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# Stable release — gets the `latest` tag

‎packages/agentflow/TESTS.md‎

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# @flowise/agentflow Test Plan
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# @flowiseai/agentflow Test Plan
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## Running Tests
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‎packages/agentflow/examples/README.md‎

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# @flowise/agentflow Examples
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# @flowiseai/agentflow Examples
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This folder demonstrates various usage patterns of the `@flowise/agentflow` package.
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This folder demonstrates various usage patterns of the `@flowiseai/agentflow` package.
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## Setup
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‎packages/agentflow/examples/index.html‎

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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>@flowise/agentflow - Basic Example</title>
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<style>
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}
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</body>
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>@flowiseai/agentflow - Basic Example</title>
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<style>
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* {
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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}
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html,
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body,
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#root {
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width: 100%;
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height: 100%;
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}
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</style>
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</head>
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<body>
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<div id="root"></div>
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<script type="module" src="/src/main.tsx"></script>
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</body>
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‎packages/agentflow/examples/src/demos/AllNodeTypesExample.tsx‎

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import { useRef } from 'react'
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import type { AgentFlowInstance, FlowData } from '@flowise/agentflow'
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import { Agentflow } from '@flowise/agentflow'
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import type { AgentFlowInstance, FlowData } from '@flowiseai/agentflow'
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import { Agentflow } from '@flowiseai/agentflow'
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import { apiBaseUrl, token } from '../config'
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‎packages/agentflow/examples/src/demos/BasicExample.tsx‎

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/**
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* Basic Example
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* Demonstrates basic @flowise/agentflow usage with imperative methods.
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* Demonstrates basic @flowiseai/agentflow usage with imperative methods.
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*/
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import { Agentflow } from '@flowise/agentflow'
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import type { AgentFlowInstance, FlowData, ValidationResult } from '@flowiseai/agentflow'
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import { Agentflow } from '@flowiseai/agentflow'
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‎packages/agentflow/examples/src/demos/CustomUIExample.tsx‎

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import { Agentflow } from '@flowiseai/agentflow'
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