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{"version": 0, "ui": {"enable_ {"version": 0, "ui": {"enable_signup": true, "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?"}], "banners": [], "default_user_role": "user", "enable_community_sharing": true, "enable_message_rating": true, "enable_user_webhooks": true, "pending_user_overlay_title": "", "pending_user_overlay_content": "", "watermark": "", "default_models": "model-ft-mfcdvyme-9289:latest", "model_order_list": ["model-ft-mfcdvyme-9289:latest", "mymodel:latest", "llama3.1:8b", "qwen2.5:0.5b", "gpt-oss:20b", "deepseek-r1:7b", "arena-model"]}, "rag": {"embedding_engine": "", "embedding_model": "sentence-transformers/all-MiniLM-L6-v2", "template": "### Task:\nRespond to the user query using the provided context, incorporating inline citations in the format [id] **only when the <source> tag includes an explicit id attribute** (e.g., <source id=\"1\">).\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 [id] (e.g., [1], [2]) when the <source> tag includes an id attribute.**\n- Do not cite if the <source> tag does not contain an id attribute.\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 a source with a provided id attribute, the response should include the citation like in the following example:\n* \"According to the study, the proposed method increases efficiency by 20% [1].\"\n\n### Output:\nProvide a clear and direct response to the user's query, including inline citations in the format [id] only when the <source> tag with id attribute 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, "bypass_embedding_and_retrieval": false, "full_context": true, "enable_hybrid_search": false, "top_k_reranker": 3, "relevance_threshold": 0, "hybrid_bm25_weight": 0.5, 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"docling_picture_description_api": {}, "document_intelligence_endpoint": "", "document_intelligence_key": "", "mistral_ocr_api_key": "", "reranking_engine": "", "external_reranker_url": "", "external_reranker_api_key": "", "reranking_model": "", "text_splitter": "", "chunk_size": 2000, "chunk_overlap": 200, "file": {"max_size": null, "max_count": null, "allowed_extensions": []}, "web": {"search": {"enable": true, "engine": "searxng", "trust_env": false, "result_count": 5, "concurrent_requests": 10, "domain": {"filter_list": []}, "bypass_embedding_and_retrieval": true, "bypass_web_loader": true, "searxng_query_url": "http://localhost:8060/search?q=<query>", "yacy_query_url": "", "yacy_username": "", "yacy_password": "", "google_pse_api_key": "AIzaSyDKekdcGqYac1POM6DkcrTjxUCt4v0luSk", "google_pse_engine_id": "f6af1b33542ed41b9", "brave_search_api_key": "", "kagi_search_api_key": "", "mojeek_search_api_key": "", "bocha_search_api_key": "", "serpstack_api_key": "", "serpstack_https": true, "serper_api_key": "", "serply_api_key": "", "tavily_api_key": "", "searchapi_api_key": "", "searchapi_engine": "", "serpapi_api_key": "", "serpapi_engine": "", "jina_api_key": "", "bing_search_v7_endpoint": "https://api.bing.microsoft.com/v7.0/search", "bing_search_v7_subscription_key": "", "exa_api_key": "", "perplexity_api_key": "", "perplexity_model": "sonar", "perplexity_search_context_usage": "medium", "sougou_api_sid": "", "sougou_api_sk": "", "external_web_search_url": "", "external_web_search_api_key": "", "tavily_extract_depth": "basic"}, "loader": {"concurrent_requests": 10, "engine": "", "ssl_verification": true, "playwright_ws_url": "", "playwright_timeout": 10000, "firecrawl_api_key": "", "firecrawl_api_url": "https://api.firecrawl.dev", "external_web_loader_url": "", "external_web_loader_api_key": ""}}, "youtube_loader_language": ["en"], "youtube_loader_proxy_url": ""}, "file": {"image_compression_width": null, "image_compression_height": null}, "google_drive": {"enable": false}, "onedrive": {"enable": false}, "task": {"model": {"default": "qwen2.5:0.5b", "external": "qwen2.5:0.5b"}, "title": {"enable": false, "prompt_template": ""}, "follow_up": {"enable": false, "prompt_template": ""}, "image": {"prompt_template": ""}, "autocomplete": {"enable": false, "input_max_length": -1}, "tags": {"prompt_template": "", "enable": false}, "query": {"search": {"enable": false}, "retrieval": {"enable": false}, "prompt_template": ""}, "tools": {"prompt_template": ""}}, "image_generation": {"engine": "comfyui", "enable": false, "prompt": {"enable": false}, "openai": {"api_base_url": "https://api.openai.com/v1", "api_version": "", "api_key": ""}, "gemini": {"api_base_url": "", "api_key": ""}, "automatic1111": {"base_url": "", "api_auth": "", "cfg_scale": null, "sampler": null, "scheduler": null}, "comfyui": {"base_url": "http://0.0.0.0:8188", "api_key": "", "workflow": "{\n \"1\": {\n \"inputs\": {\n \"ckpt_name\": \"juggernautXL_ragnarokBy.safetensors\"\n },\n \"class_type\": \"CheckpointLoaderSimple\",\n \"_meta\": {\n \"title\": \"Load Checkpoint\"\n }\n },\n \"2\": {\n \"inputs\": {\n \"text\": \"A warm wooden cabin corner with a soft armchair, fluffy pillows, a small round table with an open book and a cup of tea, and a large window overlooking snow-covered trees.\",\n \"clip\": [\n \"1\",\n 1\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"Positive Prompt\"\n }\n },\n \"3\": {\n \"inputs\": {\n \"text\": \"blurry, low resolution, distorted, unnatural colors, oversaturated, artifacts, noise, glitch, poorly drawn, unrealistic anatomy, bad lighting, pixelated, cropped limbs, extra limbs, missing details, unnatural expressions, cartoonish, deformed, out of focus, text, watermark, harsh shadows, excessive contrast, overexposed\",\n \"clip\": [\n \"1\",\n 1\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"Negetive Prompt\"\n }\n },\n \"4\": {\n \"inputs\": {\n \"seed\": 844913117905658,\n \"steps\": 35,\n \"cfg\": 5,\n \"sampler_name\": \"dpmpp_2m_sde\",\n \"scheduler\": \"karras\",\n \"denoise\": 1,\n \"model\": [\n \"1\",\n 0\n ],\n \"positive\": [\n \"2\",\n 0\n ],\n \"negative\": [\n \"3\",\n 0\n ],\n \"latent_image\": [\n \"5\",\n 0\n ]\n },\n \"class_type\": \"KSampler\",\n \"_meta\": {\n \"title\": \"KSampler\"\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 \"samples\": [\n \"4\",\n 0\n ],\n \"vae\": [\n \"1\",\n 2\n ]\n },\n \"class_type\": \"VAEDecode\",\n \"_meta\": {\n \"title\": \"VAE Decode\"\n }\n },\n \"10\": {\n \"inputs\": {\n \"filename_prefix\": \"Xevyo\",\n \"images\": [\n \"6\",\n 0\n ]\n },\n \"class_type\": \"SaveImage\",\n \"_meta\": {\n \"title\": \"Save Image\"\n }\n }\n}", "nodes": [{"type": "prompt", "key": "text", "node_ids": ["2"]}, {"type": "model", "key": "ckpt_name", "node_ids": ["1"]}, {"type": "width", "key": "width", "node_ids": ["5"]}, {"type": "height", "key": "height", "node_ids": ["5"]}, {"type": "steps", "key": "steps", "node_ids": ["4"]}, {"type": "seed", "key": "seed", "node_ids": ["4"]}]}, "model": "juggernautXL_ragnarokBy.safetensors", "size": "512x512", "steps": 35}, "webhook_url": "", "auth": {"admin": {"show": true}, "api_key": {"enable": true, "endpoint_restrictions": false, "allowed_endpoints": ""}, "jwt_expiry": "-1"}, "webui": {"url": ""}, "channels": {"enable": false}, "notes": {"enable": true}, "ldap": {"enable": false}, "video_generation": {"engine": "comfyui", "enable": false, "prompt": {"enable": false}, "comfyui": {"base_url": "http://0.0.0.0:8188", "api_key": "", "workflow": "{\n \"6\": {\n \"inputs\": {\n \"text\": \"A cute cat playing ball\",\n \"clip\": [\n \"71\",\n 0\n ]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Positive Prompt)\"\n }\n },\n \"7\": {\n \"inputs\": {\n \"text\": \"Vivid tones, overexposed, static, unclear details, subtitles, style, work, painting, frame, still, overall grayish, worst quality, low quality, JPEG artifacts, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn face, deformed, disfigured, malformed limbs, fused fingers, motionless frame, cluttered background, three legs, many people in the background, walking upside down.\",\n \"clip\": [\"71\", 0]\n },\n \"class_type\": \"CLIPTextEncode\",\n \"_meta\": {\n \"title\": \"CLIP Text Encode (Negative Prompt)\"\n }\n },\n \"8\": {\n \"inputs\": {\n \"samples\": [\n \"57\",\n 0\n ],\n \"vae\": [\n \"39\",\n 0\n ]\n },\n \"class_type\": \"VAEDecode\",\n \"_meta\": {\n \"title\": \"VAE Decode\"\n }\n },\n \"39\": {\n \"inputs\": {\n \"vae_name\": \"wan_2.1_vae.safetensors\"\n },\n \"class_type\": \"VAELoader\",\n \"_meta\": {\n \"title\": \"Load VAE\"\n }\n },\n \"54\": {\n \"inputs\": {\n \"shift\": 8.000000000000002,\n \"model\": [\n 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\"UnetLoaderGGUF\",\n \"_meta\": {\n \"title\": \"Unet Loader (GGUF)\"\n }\n },\n \"66\": {\n \"inputs\": {\n \"lora_name\": \"Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors\",\n \"strength_model\": 0.8000000000000002,\n \"model\": [\n \"63\",\n 0\n ]\n },\n \"class_type\": \"LoraLoaderModelOnly\",\n \"_meta\": {\n \"title\": \"LoraLoaderModelOnly\"\n }\n },\n \"67\": {\n \"inputs\": {\n \"images\": [\n \"8\",\n 0\n ],\n \"multi_job_id\": \"exec_1759332867362_67\",\n \"is_worker\": false,\n \"enabled_worker_ids\": \"[\\\"a2c1429f-8984-41d3-bf70-de32f7f9a4eb\\\",\\\"7efb73af-aa6c-4287-9370-3e7a779936e5\\\",\\\"644eecf9-18a1-40e5-9dfd-2081b113d217\\\",\\\"0347d640-60c8-4158-bbc2-bac9b32f4049\\\",\\\"1c0d6a8c-f2f8-413d-8a91-287990d430d5\\\",\\\"a0b9346f-2d39-498a-bffb-1f325586cfcf\\\",\\\"2d6cf2a6-95ea-4333-b089-bbe211ac7eb1\\\"]\"\n },\n \"class_type\": \"DistributedCollector\",\n \"_meta\": {\n \"title\": \"Distributed Collector\"\n }\n },\n \"68\": {\n \"inputs\": {\n 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"node_ids": ["59"]}, {"type": "steps", "key": "steps", "node_ids": ["57"]}, {"type": "seed", "key": "seed", "node_ids": ["68"]}]}, "model": "Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf", "size": "703x703", "steps": 4}, "openai": {"enable": false, "api_base_urls": ["https://api.openai.com/v1"], "api_keys": [""], "api_configs": {"0": {}}}, "ollama": {"enable": true, "base_urls": ["http://localhost:11434"], "api_configs": {"0": {}}}}...
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2025-09-22 20:44:22
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2025-12-06 10:17:27.672028
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