Which version of Apolo is answering, where it starts from (the app, or the Claude Desktop extension handing over to it) and the engines it carries (libwebp, MozJPEG, oxipng, avifenc, cjxl). For when someone asks about the version or something doesn't match what was expected.

What an image is (format, dimensions, size, transparency, metadata, EXIF orientation) or which images a folder holds. Use it first if you don't know what it is. It doesn't measure quality: for that, medir_calidad. Example: {"ruta": "~/Photos/beach.heic"}

Stops a batch. What has already been converted stays. Example: {"id": "l-1"}

Encodes the same image in several formats at the same perceived quality (SSIMULACRA 2 score, 80 by default) and says which one is the lightest. Saves the best one (by default), all or none, always as new files. It takes a while: about 7 trials per format (with a 12 MP photo, over a minute; with 24 MP, about three). With photos over about 20 MP, better use empezar_lote with that image, the formats and mas_ligero: it does the same in the background and isn't cut off by a timeout, although it only gives the winner. For a single output already decided, optimizar_imagen. Example: {"ruta": "~/a.png", "formatos": ["webp", "avif", "jxl"]}

Converts folders or many images in the background, subfolders included, without overwriting anything, and comes back right away with an id. By default, WebP at score 80, in a folder next to the input one (photos-webp, or photos-apolo with several formats); with loose images, in a subfolder next to them (webp/, apolo/). One at a time. Afterwards, ver_lote. Example: {"entradas": ["~/Photos/trip"], "formatos": ["webp", "avif"], "mas_ligero": true}

Saves a combination of format and options as a new preset, to use in Apolo, on the command line or here. It doesn't overwrite: if the name exists, it's an error (changing or deleting presets is done in Apolo). Example: {"nombre": "Light web", "formato": "avif", "nota_objetivo": 75, "ancho": 1920}

Apolo's saved presets (the same ones as the app and the command line), with their format and their command. They are used with preset in optimizar_imagen and empezar_lote.

How far an image is from its original: SSIMULACRA 2 (90 or more indistinguishable, 80 very high, 70 high, 50 noticeable), PSNR and SSIM. They have to be the same size (if the result is auto-rotated, the original is auto-rotated too). To see where the loss is, ver_imagen with diferencias_con. Example: {"original": "/a.jpg", "resultado": "/a.webp"}

Optimizes an image and saves it as a NEW file (next to the original, or in salida; if the name exists, -2, -3…). Without a quality, it searches for the lowest one that gives a SSIMULACRA 2 score of 80. Gives the equivalent command for cwebp, cjpeg, oxipng, avifenc or cjxl. To choose between formats, comparar_formatos; for many images, empezar_lote. Examples: {"ruta": "/a.jpg"} · {"ruta": "/a.png", "formato": "avif", "nota_objetivo": 85} · {"ruta": "~/a.jpg", "formato": "webp", "orden": "-q 80 -m 6", "ancho": 1600} For the person's images, use it instead of converting them yourself in another environment (a cloud interpreter): it works with the file on their disk, with the official engines. Apolo doesn't see images attached to the conversation: if one is attached, ask for its path.

Returns the image to look at: scaled down (768 px by default), an area at full size to spot defects, or the map of differences from its original (diferencias_con). Each view uses up context: ask for one only when it helps. Examples: {"ruta": "/a.webp"} · {"ruta": "/a.webp", "diferencias_con": "/a.jpg"} · {"ruta": "/a.webp", "zona": {"x": 400, "y": 300, "ancho": 256, "alto": 256}}

How a batch is going: the new images since “desde”, and the summary when it ends. With esperar_segundos (up to 25) it waits until there is something new, instead of asking in a loop. Example: {"id": "l-1", "esperar_segundos": 20}