List available VicSee models with their capabilities and credit costs. Call this first to find a model id to pass to vicsee_generate. Optionally filter by media type.

Create an AI image or video with VicSee. Generation is ASYNCHRONOUS: this returns a task id immediately, then poll vicsee_get_task with that id until status is "completed" (the result URL appears in result.url) or "failed". Use vicsee_list_models to pick a model and see its valid options. For image-to-video / image-to-image, pass source images in image_urls. For reference-to-video models (e.g. "seedance-2-0-reference-to-video"), pass references in reference_image_urls / reference_video_urls / reference_audio_urls and refer to them positionally in the prompt as @Image1, @Image2, … IMAGE inputs (image_urls, reference_image_urls) may be a public https URL, a local file path (this server reads and base64-encodes it for you), or a base64 data URI. VIDEO/AUDIO inputs (reference_video_urls, reference_audio_urls) must be public https URLs. For video-edit models (e.g. "happyhorse-video-edit"), pass the source clip in video_url and optionally set audio_setting ("auto" or "origin").

Poll a generation or upscale task by its id. status is one of "pending" | "processing" | "queued" | "completed" | "failed". When "completed", the media URL is in result.url (videos/images) or result.songs (music). When "failed", details are in error. Poll every few seconds until completed or failed.

Upscale a publicly accessible image (JPEG/PNG/WebP). Asynchronous: returns a task id — poll vicsee_get_task until completed. upscale_factor defaults to "2".

Upscale a publicly accessible video (MP4/MOV/MKV, up to 60s). Asynchronous: returns a task id — poll vicsee_get_task until completed. upscale_factor defaults to "2".

Get the current VicSee credit balance for the configured API key.

Upload a LOCAL file (image, video, or audio) from this machine and get back a public https URL. Use the returned url as an input for vicsee_generate — e.g. drop it into reference_image_urls for a reference-to-video storyboard, or image_urls for image-to-video. PREFER this over inline base64 for references: large base64 strings get truncated in tool-call output and the model rejects them. The file uploads directly to storage; only its public URL comes back.