Operate a running Guaardvark: GPU and VRAM state, plugin start/stop, logs, Celery tasks, the Interconnector sync to other machines, overnight RAG autoresearch, and infographics. Use when the user asks what is using the GPU, why a job is stuck, to start or stop ComfyUI/Audio Foundry/Swarm, to sync another box, to run autoresearch, or to make an infographic.
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See how to installReview the instructions the agent will receive before you install.
B=${GUAARDVARK_URL:-http://localhost:5000}. MCP tools: inspect_gpu, read_logs, swarm_status, self_improvement_status.
inspect_gpu (MCP): nvidia-smi, the exclusive lock (Ollama vs video), orchestrator slots, running plugins.GET $B/api/plugins/status and GET $B/api/plugins/<id>/health; GET $B/api/plugins/stats/gpu.POST $B/api/plugins/<id>/start | stop | restart | enable | disable for ollama, comfyui,
audio_foundry, upscaling, lora_trainer, swarm, vision_pipeline, discord,
gpu_embedding, video_editor. Start services through these routes, never with systemctl;
the orchestrator must know what is resident.GET $B/api/plugins/<id>/logs?lines=200 for a plugin's own log.GET $B/api/gpu/memory/status, GET/POST $B/api/gpu/memory/tier.
POST .../evict {"slot_id"} frees a slot; use only when the user asks to clear the card.read_logs (MCP) tails a file under logs/ (backend, celery, plugin logs).GET $B/api/celery/tasks shows active Celery tasks; GET $B/api/meta/... job routes list and
retry jobs (POST $B/api/meta/retry_job/<job_id>, POST $B/api/meta/cancel_job/<job_id>).inspect_gpu before retrying.GET $B/api/interconnector/status, GET .../nodes, GET .../sync/history?limit=20.POST $B/api/interconnector/sync/manual with {"direction": "push", "entities": [...], "sync_files": true, "profile_name": "..."}; POST .../nodes/<node_id>/test checks a link.git pull; they sync through this. A frontend change needs a bundle rebuild
there afterwards.POST $B/api/autoresearch/start {"mode": "...", "budget_hours": 6}; GET .../status,
GET .../runs, GET .../runs/<run_id>/ledger; POST .../stop. Promotions of a better config are
explicit: POST .../promotions/<config_id>/activate, POST .../promotions/revert.
A run executes on its own Celery worker (research@<host>, log celery_research.log), started
with the run and stopped about two minutes after it; the main worker stays free. Its model calls wait
while a render or training job holds the GPU. POST .../stop ends it at its next model call.
curl -s -X POST $B/api/infographic/generate -H 'Content-Type: application/json' -d '{
"title": "Three numbers", "scene": "clean flat design, navy and white",
"callouts": ["42% faster", "0 cloud calls", "1 GPU"], "hashtags": ["#localai"], "footer": "guaardvark.com",
"style": "flat", "aspect": "1:1", "seed": 3
}'
GET $B/api/infographic/status for the job; the image lands in outputs.
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Build consistent characters, environments and props in Guaardvark's Cast Library and train LoRAs for them locally (reference photos → vision bible → sample plan → approved samples → training). Use when the user wants the same face or object across images, videos, a music video, or a Film Crew production, or asks to "train a LoRA".
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Code intelligence over repositories Guaardvark has indexed: semantic code search, exact-text search, file listing, PageRank repository map, import dependency graph, reading one class or function, analysis and generated rewrites, plus the System Mapper and self-improvement status. Use when the user asks where something is implemented, how modules depend on each other, or wants an architecture map of an indexed repo.
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Run Guaardvark's five-role Film Crew locally: screenwriter, casting (Cast Library LoRAs), cinematographer storyboards, keyframe renders, editor. Turns a logline or screenplay into a finished short video with human gates at casting and storyboard. Use when the user says "film this", "make a short film", "storyboard this script", or "start the film crew".
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Generate or edit images on the user's own GPU through Guaardvark: single images, instruction edits, background cut-outs, inpaint and outpaint, consistent characters from the Cast Library, and batch runs of many prompts. Use when the user asks to create, draw, render, visualize, edit, or batch-generate images locally.
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Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material. Use when the user asks what their documents say, wants a source-cited answer from their files, says "remember this", or asks to index a PDF, DOCX, spreadsheet, image or URL.
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Add any Hugging Face image or video model, checkpoint or LoRA to Guaardvark from a URL, list what is installed, and download registry models on request. Use when the user pastes a huggingface.co link or a .safetensors URL, asks "can it run <model>", or wants a new LoRA or checkpoint available in the Studio.
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