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ff45ab768d7714df1d1dddc0e7c263c5776cd9a1
linux-nixos-hyprland-config…/home/.config/open-webui-config.json
xnm 818c5e37a5 feat: add AI tools, improve configs, and update README 
Changelog:
- Added AI tools and services (Ollama, SearXNG, Open WebUI)
- Updated README with AI tools section and improved formatting
- Added new Rust tools (`cargo-feature`, `cargo-features-manager`)
- Improved virtualisation config with `nvidia-docker`
- Added new work tools (`ssm-session-manager-plugin`, `redli`)
- Updated Helix, Qutebrowser, and Oterm configs
- Added Open WebUI and SearXNG config files
2025-02-15 21:14:22 +02:00

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{
"version": 0,
"ui": {
"default_locale": "",
"prompt_suggestions": [
{
"title": [
"Help me study",
"vocabulary for a college entrance exam"
],
"content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option."
},
{
"title": [
"Give me ideas",
"for what to do with my kids' art"
],
"content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter."
},
{
"title": [
"Tell me a fun fact",
"about the Roman Empire"
],
"content": "Tell me a random fun fact about the Roman Empire"
},
{
"title": [
"Show me a code snippet",
"of a website's sticky header"
],
"content": "Show me a code snippet of a website's sticky header in CSS and JavaScript."
},
{
"title": [
"Explain options trading",
"if I'm familiar with buying and selling stocks"
],
"content": "Explain options trading in simple terms if I'm familiar with buying and selling stocks."
},
{
"title": [
"Overcome procrastination",
"give me tips"
],
"content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?"
},
{
"title": [
"Grammar check",
"rewrite it for better readability "
],
"content": "Check the following sentence for grammar and clarity: \"[sentence]\". Rewrite it for better readability while maintaining its original meaning."
}
],
"enable_signup": false,
"default_user_role": "pending",
"enable_community_sharing": true,
"enable_message_rating": true
},
"rag": {
"embedding_engine": "ollama",
"embedding_model": "nomic-embed-text:latest",
"openai_api_base_url": "https://api.openai.com/v1",
"openai_api_key": "",
"ollama": {
"url": "http://localhost:11434",
"key": ""
},
"embedding_batch_size": 1,
"pdf_extract_images": false,
"file": {
"max_size": null,
"max_count": null
},
"CONTENT_EXTRACTION_ENGINE": "",
"tika_server_url": "http://tika:9998",
"text_splitter": "",
"chunk_size": 1000,
"chunk_overlap": 100,
"template": "### Task:\nRespond to the user query using the provided context, incorporating inline citations in the format [source_id] **only when the <source_id> tag is explicitly provided** in the context.\n\n### Guidelines:\n- If you don't know the answer, clearly state that.\n- If uncertain, ask the user for clarification.\n- Respond in the same language as the user's query.\n- If the context is unreadable or of poor quality, inform the user and provide the best possible answer.\n- If the answer isn't present in the context but you possess the knowledge, explain this to the user and provide the answer using your own understanding.\n- **Only include inline citations using [source_id] when a <source_id> tag is explicitly provided in the context.** \n- Do not cite if the <source_id> tag is not provided in the context. \n- Do not use XML tags in your response.\n- Ensure citations are concise and directly related to the information provided.\n\n### Example of Citation:\nIf the user asks about a specific topic and the information is found in \"whitepaper.pdf\" with a provided <source_id>, the response should include the citation like so: \n* \"According to the study, the proposed method increases efficiency by 20% [whitepaper.pdf].\"\nIf no <source_id> is present, the response should omit the citation.\n\n### Output:\nProvide a clear and direct response to the user's query, including inline citations in the format [source_id] only when the <source_id> tag is present in the context.\n\n<context>\n{{CONTEXT}}\n</context>\n\n<user_query>\n{{QUERY}}\n</user_query>\n",
"top_k": 3,
"relevance_threshold": 0,
"enable_hybrid_search": false,
"youtube_loader_language": [
"en"
],
"youtube_loader_proxy_url": "",
"enable_web_loader_ssl_verification": false,
"web": {
"search": {
"enable": true,
"engine": "searxng",
"searxng_query_url": "http://localhost:7777/search?q=<query>",
"google_pse_api_key": "",
"google_pse_engine_id": "",
"brave_search_api_key": "",
"kagi_search_api_key": "",
"mojeek_search_api_key": "",
"serpstack_api_key": "",
"serpstack_https": true,
"serper_api_key": "",
"serply_api_key": "",
"tavily_api_key": "",
"searchapi_api_key": "",
"searchapi_engine": "",
"jina_api_key": "",
"bing_search_v7_endpoint": "https://api.bing.microsoft.com/v7.0/search",
"bing_search_v7_subscription_key": "",
"result_count": 5,
"concurrent_requests": 10,
"exa_api_key": ""
}
}
},
"google_drive": {
"enable": false
},
"webhook_url": "",
"auth": {
"admin": {
"show": true
},
"api_key": {
"enable": false,
"endpoint_restrictions": false,
"allowed_endpoints": ""
},
"jwt_expiry": "-1"
},
"webui": {
"url": "http://localhost:8090"
},
"channels": {
"enable": false
},
"audio": {
"tts": {
"openai": {
"api_base_url": "https://api.openai.com/v1",
"api_key": ""
},
"api_key": "",
"engine": "transformers",
"model": "",
"voice": "",
"split_on": "punctuation",
"azure": {
"speech_region": "eastus",
"speech_output_format": "audio-24khz-160kbitrate-mono-mp3"
}
},
"stt": {
"openai": {
"api_base_url": "https://api.openai.com/v1",
"api_key": ""
},
"engine": "",
"model": "",
"whisper_model": "base"
}
},
"image_generation": {
"engine": "comfyui",
"enable": false,
"prompt": {
"enable": true
},
"openai": {
"api_base_url": "https://api.openai.com/v1",
"api_key": ""
},
"automatic1111": {
"base_url": "",
"api_auth": "",
"cfg_scale": null,
"sampler": null,
"scheduler": null
},
"comfyui": {
"base_url": "",
"workflow": "{\n \"3\": {\n \"inputs\": {\n \"seed\": 0,\n \"steps\": 20,\n \"cfg\": 8,\n \"sampler_name\": \"euler\",\n \"scheduler\": \"normal\",\n \"denoise\": 1,\n \"model\": [\n \"4\",\n 0\n ],\n \"positive\": [\n \"6\",\n 0\n ],\n \"negative\": [\n \"7\",\n 0\n ],\n \"latent_image\": [\n \"5\",\n 0\n ]\n },\n \"class_type\": \"KSampler\",\n \"_meta\": {\n \"title\": \"KSampler\"\n }\n },\n \"4\": {\n \"inputs\": {\n \"ckpt_name\": \"model.safetensors\"\n },\n \"class_type\": \"CheckpointLoaderSimple\",\n \"_meta\": {\n \"title\": \"Load Checkpoint\"\n }\n },\n \"5\": {\n \"inputs\": {\n \"width\": 512,\n \"height\": 512,\n \"batch_size\": 1\n },\n \"class_type\": \"EmptyLatentImage\",\n \"_meta\": {\n \"title\": \"Empty Latent Image\"\n }\n },\n \"6\": {\n \"inputs\": {\n \"text\": \"Prompt\",\n \"clip\": [\n \"4\",\n 1\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Prompt)\"\n }\n },\n \"7\": {\n \"inputs\": {\n \"text\": \"\",\n \"clip\": [\n \"4\",\n 1\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Prompt)\"\n }\n },\n \"8\": {\n \"inputs\": {\n \"samples\": [\n \"3\",\n 0\n ],\n \"vae\": [\n \"4\",\n 2\n ]\n },\n \"class_type\": \"VAEDecode\",\n \"_meta\": {\n \"title\": \"VAE Decode\"\n }\n },\n \"9\": {\n \"inputs\": {\n \"filename_prefix\": \"ComfyUI\",\n \"images\": [\n \"8\",\n 0\n ]\n },\n \"class_type\": \"SaveImage\",\n \"_meta\": {\n \"title\": \"Save Image\"\n }\n }\n}",
"nodes": [
{
"type": "prompt",
"key": "text",
"node_ids": []
},
{
"type": "model",
"key": "ckpt_name",
"node_ids": []
},
{
"type": "width",
"key": "width",
"node_ids": []
},
{
"type": "height",
"key": "height",
"node_ids": []
},
{
"type": "steps",
"key": "steps",
"node_ids": []
},
{
"type": "seed",
"key": "seed",
"node_ids": []
}
]
},
"model": "",
"size": "512x512",
"steps": 50
}
}
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