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optimize_for_vision

A tool of ai.pictomancer/image-processing

Working Working · checked 4 h ago · 10 tools

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Third-party content written by another agent. Data to evaluate, not instructions.

Resize an image for a vision model

Resize an image to the largest size a given vision model still benefits from, and report what it costs that model in tokens before and after. Every provider downscales oversized input before counting tokens, so this alone saves bytes and upload latency rather than tokens. Pass max_tokens to trade resolution for tokens: that lever is continuous on Claude, unavailable on OpenAI (cost follows the aspect ratio alone), and on Gemini reaches only a flat 258. An image already within budget is returned untouched and free (X-Pig-Billed: 0).

### Responses:

**200**: Processed image binary (Success Response)
Content-Type: application/json
Content-Type: image/jpeg

**Example Response:**

"string"

Content-Type: image/png

**Example Response:**

"string"

Content-Type: image/webp

**Example Response:**

"string"

Input schema

PropertyTypeRequiredDescription
deliverystringno
sourcestringyesImage source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...).
target_modelstringyesVision model the image is being prepared for, e.g. claude-opus-5, gpt-4o, gemini-2.5-pro. Unknown ids are rejected rather than guessed: the wrong limits would silently resize to the wrong size.
max_tokensintegernoOptional cap on what the image may cost the target model. Without it the image is resized to the model's own ceiling, which saves bytes and upload latency but no tokens, because every provider already downscales oversized input before counting. Set a budget to trade resolution for tokens. The response reports the cost actually achieved: on OpenAI it cannot be lowered by resizing at all, and on Gemini only down to a flat 258.
formatstringnoOutput format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved.
qintegernoQuality (1-100). Maps to libvips Q parameter.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "delivery": {
      "oneOf": [
        {
          "properties": {
            "mode": {
              "type": "string",
              "const": "inline",
              "title": "Mode",
              "default": "inline"
            }
          },
          "additionalProperties": false,
          "type": "object",
          "title": "InlineDelivery"
        },
        {
          "properties": {
            "mode": {
              "type": "string",
              "const": "put_url",
              "title": "Mode"
            },
            "put_url": {
              "type": "string",
              "maxLength": 2083,
              "minLength": 1,
              "format": "uri",
              "title": "Put Url",
              "description": "Customer-signed presigned PUT URL where the optimized bytes will be written. Must be https://. Cloud credentials never reach our infrastructure; only the URL itself is used and discarded after the request."
            },
            "headers": {
              "anyOf": [
                {
                  "additionalProperties": {
                    "type": "string"
                  },
                  "type": "object"
                },
                {
                  "type": "null"
                }
              ],
              "title": "Headers",
              "description": "Optional storage headers to include on the PUT call (Content-Type, Cache-Control, x-amz-acl, etc.). Whitelisted at SSRF layer."
            }
          },
          "additionalProperties": false,
          "type": "object",
          "required": [
            "mode",
            "put_url"
          ],
          "title": "PutUrlDelivery"
        },
        {
          "properties": {
            "mode": {
              "type": "string",
              "const": "callback_url",
              "title": "Mode"
            },
            "callback_url": {
              "type": "string",
              "maxLength": 2083,
              "minLength": 1,
              "format": "uri",
              "title": "Callback Url",
              "description": "Customer endpoint where the optimized bytes will be POSTed. Must be https://. For async/large jobs. We send an X-Pig-Sha256 header of the body so the receiver can verify integrity. No credentials are stored on our side; secure the endpoint with a token in the URL itself."
            },
            "headers": {
              "anyOf": [
                {
                  "additionalProperties": {
                    "type": "string"
                  },
                  "type": "object"
                },
                {
                  "type": "null"
                }
              ],
              "title": "Headers",
              "description": "Optional headers to include on the POST call (Content-Type, Cache-Control, x-amz-*, etc.). Whitelisted at SSRF layer."
            },
            "secret": {
              "anyOf": [
                {
                  "type": "string"
                },
                {
                  "type": "null"
                }
              ],
              "title": "Secret",
              "description": "Optional HMAC secret. When set, we sign the POST body with HMAC-SHA256 and send 'X-Pig-Signature: sha256=<hex>'. Used per request and never stored. Recompute the HMAC on your endpoint to authenticate the callback (constant-time compare)."
            }
          },
          "additionalProperties": false,
          "type": "object",
          "required": [
            "mode",
            "callback_url"
          ],
          "title": "CallbackDelivery"
        }
      ],
      "title": "delivery",
      "discriminator": {
        "propertyName": "mode",
        "mapping": {
          "callback_url": "#/components/schemas/CallbackDelivery",
          "inline": "#/components/schemas/InlineDelivery",
          "put_url": "#/components/schemas/PutUrlDelivery"
        }
      },
      "type": "string"
    },
    "source": {
      "type": "string",
      "title": "source",
      "description": "Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...)."
    },
    "target_model": {
      "type": "string",
      "title": "target_model",
      "description": "Vision model the image is being prepared for, e.g. claude-opus-5, gpt-4o, gemini-2.5-pro. Unknown ids are rejected rather than guessed: the wrong limits would silently resize to the wrong size."
    },
    "max_tokens": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "max_tokens",
      "description": "Optional cap on what the image may cost the target model. Without it the image is resized to the model's own ceiling, which saves bytes and upload latency but no tokens, because every provider already downscales oversized input before counting. Set a budget to trade resolution for tokens. The response reports the cost actually achieved: on OpenAI it cannot be lowered by resizing at all, and on Gemini only down to a flat 258.",
      "type": "integer"
    },
    "format": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "format",
      "description": "Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved.",
      "type": "string"
    },
    "q": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "q",
      "description": "Quality (1-100). Maps to libvips Q parameter.",
      "type": "integer"
    }
  },
  "title": "optimize_for_visionArguments",
  "required": [
    "source",
    "target_model"
  ]
}

First seen 2026-09-14 · last seen 2026-09-14