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https://github.com/calesthio/OpenMontage.git
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feat: add MiniMax image generation tool
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octo-patch
290
tools/graphics/minimax_image.py
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290
tools/graphics/minimax_image.py
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"""MiniMax image generation through the first-party API."""
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from __future__ import annotations
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import base64
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import os
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import time
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from pathlib import Path
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from typing import Any
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from tools.base_tool import (
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BaseTool,
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Determinism,
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ExecutionMode,
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ResourceProfile,
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RetryPolicy,
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ToolResult,
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ToolRuntime,
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ToolStability,
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ToolTier,
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)
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MODELS = ["image-01", "image-01-live"]
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DEFAULT_MODEL = "image-01"
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DEFAULT_REGION = "global"
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REGION_BASE_URLS = {
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"global": "https://api.minimax.io",
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"global_en": "https://api.minimax.io",
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"cn": "https://api.minimaxi.com",
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"cn_zh": "https://api.minimaxi.com",
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}
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class MiniMaxImage(BaseTool):
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name = "minimax_image"
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version = "0.1.0"
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tier = ToolTier.GENERATE
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capability = "image_generation"
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provider = "minimax"
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stability = ToolStability.BETA
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execution_mode = ExecutionMode.SYNC
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determinism = Determinism.SEEDED
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runtime = ToolRuntime.API
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dependencies = ["env:MINIMAX_API_KEY"]
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install_instructions = (
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"Set MINIMAX_API_KEY to your MiniMax API key. "
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"Optionally set MINIMAX_REGION to global or cn."
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)
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agent_skills = ["flux-best-practices"]
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capabilities = ["generate_image", "text_to_image"]
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supports = {
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"multiple_outputs": True,
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"aspect_ratio": True,
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"custom_dimensions": True,
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"seed": True,
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"subject_reference": True,
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"url_response": True,
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"base64_response": True,
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}
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best_for = [
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"first-party MiniMax image generation",
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"seeded multi-image generation",
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"global and mainland China API routing",
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]
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not_good_for = ["offline generation"]
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input_schema = {
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"type": "object",
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"required": ["prompt"],
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"properties": {
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"prompt": {"type": "string", "maxLength": 1500},
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"model": {
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"type": "string",
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"enum": MODELS,
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"default": DEFAULT_MODEL,
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},
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"subject_reference": {
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"type": "array",
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"items": {
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"type": "object",
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"required": ["type", "image_file"],
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"properties": {
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"type": {"type": "string", "enum": ["character"]},
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"image_file": {"type": "string"},
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},
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},
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},
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"aspect_ratio": {
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"type": "string",
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"enum": ["1:1", "16:9", "4:3", "3:2", "2:3", "3:4", "9:16", "21:9"],
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"default": "1:1",
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},
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"width": {"type": "integer", "minimum": 512, "maximum": 2048, "multipleOf": 8},
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"height": {"type": "integer", "minimum": 512, "maximum": 2048, "multipleOf": 8},
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"response_format": {
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"type": "string",
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"enum": ["url", "base64"],
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"default": "url",
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},
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"seed": {"type": "integer"},
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"n": {"type": "integer", "minimum": 1, "maximum": 9, "default": 1},
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"prompt_optimizer": {"type": "boolean", "default": False},
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"output_path": {"type": "string"},
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},
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}
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resource_profile = ResourceProfile(
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cpu_cores=1, ram_mb=512, vram_mb=0, disk_mb=100, network_required=True
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)
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retry_policy = RetryPolicy(
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max_retries=2, retryable_errors=["rate_limit", "timeout"]
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)
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idempotency_key_fields = [
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"prompt",
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"model",
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"subject_reference",
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"aspect_ratio",
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"width",
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"height",
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"response_format",
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"seed",
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"n",
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"prompt_optimizer",
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]
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side_effects = [
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"writes image files to output_path",
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"calls the MiniMax image generation API",
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]
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user_visible_verification = [
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"Inspect generated images for prompt adherence and visual quality"
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]
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@staticmethod
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def _region() -> str:
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region = os.environ.get("MINIMAX_REGION", DEFAULT_REGION).strip().lower()
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return region if region in REGION_BASE_URLS else DEFAULT_REGION
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def _base_url(self) -> str:
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override = os.environ.get("MINIMAX_BASE_URL")
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if override:
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return override.rstrip("/")
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return REGION_BASE_URLS[self._region()]
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@staticmethod
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def _base_resp_error(data: dict[str, Any]) -> str | None:
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base_resp = data.get("base_resp") or {}
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status_code = base_resp.get("status_code")
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if status_code in (None, 0):
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return None
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status_msg = base_resp.get("status_msg") or "unknown error"
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return f"MiniMax API error {status_code}: {status_msg}"
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@staticmethod
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def _output_paths(output_path: str | None, count: int) -> list[Path]:
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path = Path(output_path or "minimax_image.png")
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if not path.suffix:
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path = path.with_suffix(".png")
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if count == 1:
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return [path]
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return [
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path.with_name(f"{path.stem}_{index}{path.suffix}")
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for index in range(1, count + 1)
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]
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@staticmethod
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def _build_payload(inputs: dict[str, Any]) -> dict[str, Any]:
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model = inputs.get("model", DEFAULT_MODEL)
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if model not in MODELS:
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raise ValueError(f"Unsupported MiniMax image model '{model}'.")
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prompt = inputs.get("prompt")
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if not isinstance(prompt, str) or not prompt:
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raise ValueError("MiniMax image generation requires 'prompt'.")
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if len(prompt) > 1500:
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raise ValueError("MiniMax image prompt must not exceed 1500 characters.")
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width = inputs.get("width")
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height = inputs.get("height")
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if (width is None) != (height is None):
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raise ValueError("MiniMax image width and height must be set together.")
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payload: dict[str, Any] = {
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"model": model,
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"prompt": prompt,
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"response_format": inputs.get("response_format", "url"),
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"n": inputs.get("n", 1),
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"prompt_optimizer": inputs.get("prompt_optimizer", False),
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}
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for field in (
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"subject_reference",
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"aspect_ratio",
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"width",
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"height",
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"seed",
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):
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if inputs.get(field) is not None:
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payload[field] = inputs[field]
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return payload
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@staticmethod
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def _decode_base64_image(value: str) -> bytes:
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encoded = value.split(",", 1)[1] if value.startswith("data:") else value
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return base64.b64decode(encoded)
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@staticmethod
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def _safe_error(exc: Exception, api_key: str) -> str:
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return str(exc).replace(api_key, "[redacted]") if api_key else str(exc)
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def execute(self, inputs: dict[str, Any]) -> ToolResult:
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api_key = os.environ.get("MINIMAX_API_KEY", "")
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if not api_key:
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return ToolResult(
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success=False,
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error="MINIMAX_API_KEY not set. " + self.install_instructions,
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)
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import requests
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start = time.time()
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try:
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payload = self._build_payload(inputs)
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response = requests.post(
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f"{self._base_url()}/v1/image_generation",
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headers={
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"Authorization": f"Bearer {api_key}",
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"Content-Type": "application/json",
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},
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json=payload,
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timeout=180,
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)
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response.raise_for_status()
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data = response.json()
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base_error = self._base_resp_error(data)
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if base_error:
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return ToolResult(success=False, error=base_error)
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response_format = payload["response_format"]
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data_object = data.get("data") or {}
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image_values = data_object.get(
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"image_base64" if response_format == "base64" else "image_urls"
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) or []
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if not image_values:
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return ToolResult(
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success=False,
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error=f"MiniMax returned no {response_format} image outputs.",
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)
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output_paths = self._output_paths(
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inputs.get("output_path"), len(image_values)
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)
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for path, value in zip(output_paths, image_values):
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path.parent.mkdir(parents=True, exist_ok=True)
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if response_format == "base64":
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path.write_bytes(self._decode_base64_image(value))
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else:
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download = requests.get(value, timeout=120)
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download.raise_for_status()
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path.write_bytes(download.content)
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except Exception as exc:
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return ToolResult(
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success=False,
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error=(
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"MiniMax image generation failed: "
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f"{self._safe_error(exc, api_key)}"
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),
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)
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outputs = [str(path) for path in output_paths]
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return ToolResult(
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success=True,
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data={
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"provider": "minimax",
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"model": payload["model"],
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"prompt": payload["prompt"],
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"region": self._region(),
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"response_format": payload["response_format"],
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"output": outputs[0],
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"outputs": outputs,
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"images_generated": len(outputs),
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"metadata": data.get("metadata") or {},
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"request_id": data.get("id"),
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},
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artifacts=outputs,
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duration_seconds=round(time.time() - start, 2),
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model=payload["model"],
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)
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