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- Add new button in agent management dropdown to open agent in new tab - Implement token-based authentication for shared agent access - Add translations for 9 languages (en, zh, zh-tw, de, fr, it, ru, pt-br, vi) - Keep existing 'Embed into webpage' functionality intact ### What problem does this PR solve? This allows users to open agents in a separate tab to work in background while continuing to use other parts of the application. <img width="1920" height="1080" alt="image" src="https://github.com/user-attachments/assets/ca1719c8-2f00-4570-a730-1321fa0bfd57" /> <img width="254" height="222" alt="image" src="https://github.com/user-attachments/assets/b3dd6d9f-b7e7-46b0-83e7-f0ea86e7b156" /> <img width="1920" height="1080" alt="image" src="https://github.com/user-attachments/assets/e94e99f9-9039-43f7-b2d9-862b9448630c" /> ### Type of change - [x] New Feature (non-breaking change which adds functionality)
24 lines
1.3 KiB
Markdown
24 lines
1.3 KiB
Markdown
---
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sidebar_position: 30
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slug: /embed_agent_into_webpage
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sidebar_custom_props: {
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categoryIcon: LucideMonitorDot
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}
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---
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# Embed Agent into webpage
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You can use iframe to embed an agent into a third-party webpage.
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1. Before proceeding, you must [acquire an API key](../models/llm_api_key_setup.md); otherwise, an error message would appear.
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2. On the **Agent** page, click an intended agent to access its editing page.
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3. Click **Management > Embed into webpage** on the top right corner of the canvas to show the **Embed into webpage** dialog.
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4. Configure your embed options:
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- **Embed Type**: Choose between Fullscreen Chat (traditional iframe) or Floating Widget (Intercom-style)
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- **Theme**: Select Light or Dark theme (for fullscreen mode)
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- **Hide avatar**: Toggle avatar visibility
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- **Enable Streaming Responses**: Enable streaming for widget mode
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- **Locale**: Select the language for the embedded agent
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5. Copy the generated iframe code and embed it into your webpage.
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6. **Chat in new tab**: Click the "Chat in new tab" button to preview the agent in a separate browser tab with your configured settings. This allows you to test the agent before embedding it.
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