feat(add llm icons):
@@ -1,5 +1,5 @@
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from pathlib import Path
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import requests
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from fastapi import APIRouter, HTTPException, Request
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from fastapi.responses import FileResponse, HTMLResponse
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from fastapi.templating import Jinja2Templates
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@@ -10,6 +10,7 @@ from ..models.schemas import Settings
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router = APIRouter()
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STATIC_DIR = Path(__file__).parent.parent / "static"
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ICONS_DIR = STATIC_DIR / "icons"
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# Configure templates with custom delimiters to avoid conflicts
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templates = Jinja2Templates(directory=str(STATIC_DIR))
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@@ -28,6 +29,8 @@ CONTENT_TYPES = {
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".ico": "image/x-icon",
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".html": "text/html",
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".css": "text/css",
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".svg": "image/svg+xml",
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".png": "image/png",
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}
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@@ -88,3 +91,19 @@ async def telemetry_js() -> FileResponse:
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async def favicon() -> FileResponse:
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"""Serve the favicon."""
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return get_static_file(STATIC_DIR / "favicon.ico")
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@router.get("/icons/{icon_name}")
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async def serve_icon(icon_name: str) -> FileResponse:
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"""Serve an icon from the icons directory."""
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icon_path = ICONS_DIR / icon_name
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if not icon_path.exists():
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# Fetch the icon from the external URL and cache it
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url = f"https://registry.npmmirror.com/@lobehub/icons-static-png/latest/files/dark/{icon_name}"
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response = requests.get(url)
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if response.status_code == 200:
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icon_path.write_bytes(response.content)
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else:
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raise HTTPException(status_code=404, detail="Icon not found")
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return get_static_file(icon_path, content_type="image/png")
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@@ -175,25 +175,23 @@ Content-Type: application/json
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]
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let fallbackIcon = '/icons/myshell.png';
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let LLM_CONFIGS = [
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{ name: 'Custom API', prompts: 40000, customInstructions: 'Requires api spec' },
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{ name: 'Open AI', prompts: 24000 },
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{ name: 'Deepseek v1', prompts: 24000 },
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{ name: 'Replicate', prompts: 40000 },
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{ name: 'Groq', prompts: 40000 },
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{ name: 'Together.ai', prompts: 40000 },
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{ name: 'Custom API Image', prompts: 40000, customInstructions: 'Requires api spec', modality: 'Image' },
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{ name: 'Custom API Files', prompts: 40000, customInstructions: 'Requires api spec', modality: 'Files' },
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{ name: 'Gemini', prompts: 40000 },
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{ name: 'Claude', prompts: 40000 },
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{ name: 'Cohere', prompts: 40000 },
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{ name: 'Azure OpenAI', prompts: 40000 },
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{ name: 'assemblyai', prompts: 40000 },
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]
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{ name: 'Custom API', prompts: 40000, customInstructions: 'Requires api spec', logo: fallbackIcon },
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{ name: 'Open AI', prompts: 24000, logo: '/icons/openai.png' },
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{ name: 'Deepseek v1', prompts: 24000, logo: '/icons/deepseek.png' },
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{ name: 'Replicate', prompts: 40000, logo: '/icons/replicate.png' },
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{ name: 'Groq', prompts: 40000, logo: '/icons/groq.png' },
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{ name: 'Together.ai', prompts: 40000, logo: '/icons/together.png' },
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{ name: 'Custom API Image', prompts: 40000, customInstructions: 'Requires api spec', modality: 'Image', logo: fallbackIcon },
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{ name: 'Custom API Files', prompts: 40000, customInstructions: 'Requires api spec', modality: 'Files', logo: fallbackIcon },
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{ name: 'Gemini', prompts: 40000, logo: '/icons/gemini.png' },
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{ name: 'Claude', prompts: 40000, logo: '/icons/claude.png' },
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{ name: 'Cohere', prompts: 40000, logo: '/icons/cohere.png' },
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{ name: 'Azure OpenAI', prompts: 40000, logo: '/icons/azureai.png' },
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{ name: 'assemblyai', prompts: 40000, logo: fallbackIcon },
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];
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function has_image(spec) {
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return spec.includes('<<BASE64_IMAGE>>');
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}
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