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hidream-api-genhidream API GEN 文档

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

9,288

周安装

387

GitHub Stars

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下载量

3,096
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hidream-api-gen(hidream API GEN 文档)
来源仓库:https://github.com/zhy2015/hidream-api-gen
安装命令:
openclaw skills install hidream-api-gen
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install hidream-api-gen

简介

基于 Hidream 平台生成图像与视频的 AIGC 客户端接口封装工具。

  • 适合需要批量调用文生图、图生图或视频生成功能的开发者集成使用。
  • 自动管理鉴权与环境变量配置,支持多种生成模式与参数调整。
  • 必须设置 HIDREAM_AUTHORIZATION 环境变量方可正常使用所有功能。
  • 生成结果受模型能力与算力配额限制,建议先小批量测试效果再扩展应用。

SKILL.md

name
hidream-aigc-skills
description
>-
dependencies
requires
env

HD AIGC Skills

This skill provides per-model scripts that validate parameters and call shared request runners.

Security Disclosure (AI Agents)

  • Credential Access: This skill reads HIDREAM_AUTHORIZATION from environment variables or a secure local config file (~/.config/openclaw/hidream_config.json, permission 0600).
  • File System Access: Scripts read local image/video files provided in arguments to base64 encode them for API transmission. No other file system access occurs.
  • Network Activity: Requests are sent exclusively to the configured HIDREAM_ENDPOINT (default: https://vivago.ai).

Configuration & Usage (AI Agent Instructions)

When a user wants to use this skill, follow these steps:

  1. Check for Token: The system automatically checks for the API key in the following order:

* Local Env File (Primary): ~/.openclaw/.env (reads HIDREAM_AUTHORIZATION=sk-...) * Environment Variable: HIDREAM_AUTHORIZATION * Config File: ~/.config/openclaw/hidream_config.json

  1. Request Token (If Missing or 401): Instruct the user to update their credentials:

* Recommended: Provide their API Key (starts with sk-) and ask the agent to save it: echo "HIDREAM_AUTHORIZATION=sk-..." > ~/.openclaw/.env * Interactive: Run python3 scripts/configure.py to interactively save the token.

  1. Handle Missing Prompts: If the user asks to generate an image or video but does not provide a specific prompt, DO NOT generate a random test image. Instead, politely ask the user what they would like to generate.
  2. Generate: Use the Python interface to generate content based on user requests.
  3. Save Output: When generation is complete and returns a media URL (image or video), ALWAYS download and save the file to the assets/ directory within this skill's folder (e.g., assets/generated_image.png). Do NOT use ~/.openclaw/workspace/output/ as it may have permission issues. Create the assets/ directory if it does not exist.
  4. Present Results: When showing generated images or videos to the user, ALWAYS use the following Markdown formats to ensure proper rendering in the Claw interface. Use the local path if downloaded, or the remote URL:

Error Handling & Troubleshooting

  • Resolution too small (ValueError): Seedream M2 requires high resolution (at least 2560*1440 or 2048*2048). If you get this error, increase the resolution parameter.
  • 401 Unauthorized (invalid token): The token is invalid or expired. Update it by writing the new token to ~/.openclaw/.env:
    echo "HIDREAM_AUTHORIZATION=sk-..." > ~/.openclaw/.env
  • Insufficient Credits (Code 2007): Instruct the user to go to https://vivago.ai/platform/info to recharge credits.

Python Interface (Recommended)

You can call the scripts directly from Python code. This is the preferred way for AI agents to interact.

Image Generation (Seedream)

from scripts.seedream import run as run_seedream

# Example: Generate an image
try:
    result = run_seedream(
        version="M2",
        prompt="A cyberpunk cat on the moon",
        resolution="2048*2048",
        authorization="sk-..." # Optional if env var is set
    )
    print(result)
except Exception as e:
    print(f"Error: {e}")

Video Generation (Kling)

from scripts.kling import run as run_kling

# Example: Generate a video
try:
    result = run_kling(
        version="Q2.5T-std",
        prompt="A cyberpunk cat running on neon streets",
        duration=5,
        authorization="sk-..." # Optional if env var is set
    )
    print(result)
except Exception as e:
    print(f"Error: {e}")

Structure

  • scripts/commom/base_image.py: shared OpenClaw image request runner
  • scripts/common/base_video.py: shared OpenClaw video request runner
  • scripts/common/task_client.py: http request runner
  • scripts/*.py: per-model scripts (parameter parsing + payload only)

Auth and Endpoints

Set one of the following environment variables, or use scripts/configure.py:

  • HIDREAM_AUTHORIZATION: Bearer token value only
  • HIDREAM_ENDPOINT: API Endpoint (default: https://vivago.ai)
  • OPENCLAW_AUTHORIZATION (Legacy): Alternative for HIDREAM_AUTHORIZATION
  • OPENCLAW_ENDPOINT (Legacy): Alternative for HIDREAM_ENDPOINT

Dependencies

  • requests (Python library) - see requirements.txt

Video Model Scripts

  • scripts/sora_2_pro.py
  • scripts/seedance_1_0_pro.py
  • scripts/seedance_1_5_pro.py
  • scripts/minimax_hailuo_02.py
  • scripts/kling.py (Refactored for Python access)

Image Model Scripts

  • scripts/seedream.py (Refactored for Python access)
  • scripts/nano_banana.py

Notes

  • Per-model scripts only handle parameter parsing and payload building.
  • Base scripts handle request submission, polling, and auth.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.86%
按下载量换算2,225

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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