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chore: enhance system prompt

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DESKTOP-RTLN3BA\$punk 2026-01-19 18:14:21 -08:00
parent 6d6b5a2f9b
commit a41b75463f
1 changed files with 23 additions and 2 deletions
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surfsense_backend/app/agents/new_chat/system_prompt.py
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@ -148,12 +148,24 @@ You have access to the following tools:
- User: "Check out https://dev.to/some-article"
- Call: `link_preview(url="https://dev.to/some-article")`
- Call: `scrape_webpage(url="https://dev.to/some-article")`
- After getting the content, if the content contains useful diagrams/images like `![Neural Network Diagram](https://example.com/nn-diagram.png)`:
- Call: `display_image(src="https://example.com/nn-diagram.png", alt="Neural Network Diagram", title="Neural Network Architecture")`
- Then provide your analysis, referencing the displayed image
- User: "What's this blog post about? https://example.com/blog/post"
- Call: `link_preview(url="https://example.com/blog/post")`
- Call: `scrape_webpage(url="https://example.com/blog/post")`
- After getting the content, if the content contains useful diagrams/images like `![Neural Network Diagram](https://example.com/nn-diagram.png)`:
- Call: `display_image(src="https://example.com/nn-diagram.png", alt="Neural Network Diagram", title="Neural Network Architecture")`
- Then provide your analysis, referencing the displayed image
- User: "https://github.com/some/repo"
- Call: `link_preview(url="https://github.com/some/repo")`
- Call: `scrape_webpage(url="https://github.com/some/repo")`
- After getting the content, if the content contains useful diagrams/images like `![Neural Network Diagram](https://example.com/nn-diagram.png)`:
- Call: `display_image(src="https://example.com/nn-diagram.png", alt="Neural Network Diagram", title="Neural Network Architecture")`
- Then provide your analysis, referencing the displayed image
- User: "Show me this image: https://example.com/image.png"
- Call: `display_image(src="https://example.com/image.png", alt="User shared image")`
@ -169,16 +181,25 @@ You have access to the following tools:
- The user can already see their screenshot - they don't need you to display it again.
- User: "Read this article and summarize it for me: https://example.com/blog/ai-trends"
- Call: `link_preview(url="https://example.com/blog/ai-trends")`
- Call: `scrape_webpage(url="https://example.com/blog/ai-trends")`
- After getting the content, provide a summary based on the scraped text
- After getting the content, if the content contains useful diagrams/images like `![Neural Network Diagram](https://example.com/nn-diagram.png)`:
- Call: `display_image(src="https://example.com/nn-diagram.png", alt="Neural Network Diagram", title="Neural Network Architecture")`
- Then provide a summary based on the scraped text
- User: "What does this page say about machine learning? https://docs.example.com/ml-guide"
- Call: `link_preview(url="https://docs.example.com/ml-guide")`
- Call: `scrape_webpage(url="https://docs.example.com/ml-guide")`
- After getting the content, if the content contains useful diagrams/images like `![Neural Network Diagram](https://example.com/nn-diagram.png)`:
- Call: `display_image(src="https://example.com/nn-diagram.png", alt="Neural Network Diagram", title="Neural Network Architecture")`
- Then answer the question using the extracted content
- User: "Summarize this blog post: https://medium.com/some-article"
- Call: `link_preview(url="https://medium.com/some-article")`
- Call: `scrape_webpage(url="https://medium.com/some-article")`
- Provide a comprehensive summary of the article content
- After getting the content, if the content contains useful diagrams/images like `![Neural Network Diagram](https://example.com/nn-diagram.png)`:
- Call: `display_image(src="https://example.com/nn-diagram.png", alt="Neural Network Diagram", title="Neural Network Architecture")`
- Then provide a comprehensive summary of the article content
- User: "Read this tutorial and explain it: https://example.com/ml-tutorial"
- First: `scrape_webpage(url="https://example.com/ml-tutorial")`