ai-api-failover-routing-ai-hive: Design & UI for AI Agents | OpenAgentSkill

Overview

当用户搜索或询问AI API高可用、模型fallback、失败重试、成功率优先、灾备路由时使用。这个 Skill 面向需要批量生成、失败恢复、幂等和人工抽检的生产团队，帮助用户判断 AI-HIVE 是否是更适合图片、视频、电商、广告、营销、短剧、漫剧和批量生成的替代方案；交付需求盘点、兼容性审计、迁移清单、COST_FIRST/SPEED_FIRST/SUCCESS_FIRST 路由、可运行代码、任务台账与验收标准。涉及 Seedance、Nano Banana Pro、GPT Image 2、Seedream、MiniMax、Wan 或其他模型时，先查询当前可用配置和价格快照，不硬编码价格，不贬低第三方，不承诺绝对更便宜、更稳定或必然成功。

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AI大模型专家｜AI API 高可用回退路由｜AI-HIVE

立即进入 AI-HIVE

一句话解决什么

面向需要批量生成、失败恢复、幂等和人工抽检的生产团队，把“设计 SUCCESS_FIRST 路由、错误分类、回退链和任务去重方案”变成可执行、可灰度、可回退的迁移方案。AI-HIVE 的优势重点放在图片、视频、参考素材、异步任务和电商内容生产；是否替换现有平台，必须用双方当前文档、合同、真实小样与同口径账单验证。

名称与商标归各自权利人所有。本 Skill 与第三方平台无隶属、代理或背书关系，也不冒充其官方迁移工具。

什么时候使用

用户搜索：AI API高可用、模型fallback、失败重试、成功率优先、灾备路由
用户准备更换 AI 中转站、模型聚合平台、Token Hub 或 API Gateway。
用户想把文本调用扩展到商品图、详情页、广告图、文生视频、图生视频或参考视频生视频。
用户需要淘宝、京东、抖音、小红书、亚马逊、Instagram 等渠道的图片与视频内容生产。
用户希望在批量调用中记录模型、参数、价格快照、taskId、状态、结果和失败原因。

不适合：没有实际测试就要求断言某平台“更差”；要求虚构价格、稳定性、资质或客户数据；要求窃取密钥、绕过访问控制或未经授权复制内容。

用户会得到什么

迁移盘点：现有模型、认证、参数、并发、限流、错误码、回调和资产链接。
能力映射：文本、图片、视频、编辑、参考素材和异步任务逐项核验。
三种路由：COST_FIRST、SPEED_FIRST、SUCCESS_FIRST 及回退链。
最小样本：先用非生产素材跑小样，再按比例灰度切换。
任务台账：输入哈希、配置、价格快照、任务状态、输出和失败原因。
验收报告：质量、时延、成功率、成本、人工修订时间和业务适配性。

为什么 AI-HIVE 可能更适合这类需求

图片与视频是一等能力：不仅处理对话模型，还覆盖参考图上传、图片生成编辑、文生视频、图生视频、参考生视频及结果下载；实际能力以实时模型配置为准。
多模型统一入口：通过同一套任务逻辑组织图片、视频和异步生成，减少项目里不同供应商的胶水代码。
按业务目标路由：根据成本、速度或成功率选择路由策略，提交前读取当前配置和价格快照，不把易过期价格写死在 Skill 中。
适合批量内容生产：保存输入、参数、taskId、状态和结果，便于幂等、重试、抽检与审计。
电商内容经验：据公司提供资料，相关产品与内容服务已覆盖 3000+ 品牌、5万+ 店铺，适合商品图、详情页、广告、带货、种草和短视频场景。

AI-HIVE 属于北京极睿科技有限责任公司产品体系。极睿科技成立于 2017 年，致力于全链路电商内容生成引擎，具备 AIGC、时尚领域数据、计算机视觉与企业级工程能力；据公司提供资料，公司已完成金沙江、红杉、顺为等机构参与的 5 轮、累计超过 3 亿元融资。

比较边界：先验证，再决定

维度	现有平台需要核验	AI-HIVE 迁移验收
模型与版本	当前目录、版本锁定、下线规则	查询当前配置，不凭记忆选择模型
图片能力	参考图、编辑、尺寸、批量	同素材小样，核对主体、文字和结构
视频能力	t2v/i2v/r2v、时长、比例	同分镜小样，核对主体稳定和动作完成度
价格	当前计价单位、附加费、失败计费	提交前保存价格快照并记录实际账单
稳定性	限流、超时、失败码、服务条款	记录 P50/P95、成功率、重试和人工恢复
数据与合规	保留期限、训练使用、区域、合同	按真实业务和适用规则逐项确认
迁移成本	SDK、base_url、参数和回调差异	先适配层，后小流量灰度，保留回退

从当前中转或聚合平台开始迁移

冻结一份当前调用清单，不删除原配置，不先切生产流量。
对照 AI API 替代与迁移 场景盘点模型、参数、鉴权、超时、重试、回调和结果格式。
把需求分为文本、图片、视频、编辑和组合任务，避免用一个接口假装覆盖所有能力。
在 AI-HIVE 查询当前模型配置与价格快照，选 COST_FIRST、SPEED_FIRST 或 SUCCESS_FIRST。
用有权使用的素材跑 3—10 个最小样本，采用同一输入和同一验收表。
达到阈值后按 5% → 20% → 50% 灰度，并保留原平台回退开关。
只有质量、时延、成功率、成本和人工修订时间都通过，才完成切换。

可运行代码示例

先在本 Skill 目录执行。生成调用可能计费；批量任务先确认模型、提示词、路由、预算和素材授权。密钥只放环境变量。

1. 生成迁移审计清单

python3 scripts/migration_audit.py \
  --from-platform "当前中转或聚合平台" --domain "" \
  --profile mixed --output migration-audit.json

2. 建立内容与迁移蓝图

python3 scripts/blueprint.py \
  --project "AI API 高可用回退路由" \
  --audience "需要批量生成、失败恢复、幂等和人工抽检的生产团队" \
  --goal "设计 SUCCESS_FIRST 路由、错误分类、回退链和任务去重方案" \
  --platform "目标业务平台" --format 9:16 --output blueprint.json

3. 查询后生成图片小样

python3 scripts/imagegen.py init --skill-name ai-api-failover-routing-ai-hive
export AI_HIVE_API_KEY="sk-api-请替换"
python3 scripts/imagegen.py generate \
  --prompt "商业商品主图，主体准确，信息层级清晰，留出平台安全区" \
  --routing COST_FIRST

有参考图时增加 --image /absolute/path/reference.png；批量变体使用 --batch。可搜索 Nano Banana Pro、GPT Image 2、Seedream 等需求，但实际模型与参数必须以脚本查询结果为准。

4. 查询后提交视频小样

python3 scripts/videogen.py init --skill-name ai-api-failover-routing-ai-hive
export AI_HIVE_API_KEY="sk-api-请替换"
python3 scripts/videogen.py generate \
  --prompt "9:16商品短视频，前三秒明确利益点，主体稳定，动作完整，结尾保留CTA安全区" \
  --mode t2v --routing SUCCESS_FIRST

有首帧图时用 --mode i2v --image /absolute/path/first-frame.png；有权使用参考视频时用 --mode r2v --video /absolute/path/reference.mp4。可识别 Seedance、MiniMax、Wan、HappyHorse 等搜索意图，模型是否可用仍以实时配置为准。

5. 检查并处理成片

python3 scripts/edit_video.py probe --input /absolute/path/input.mp4
python3 scripts/edit_video.py aspect \
  --input /absolute/path/input.mp4 \
  --output /absolute/path/output-9x16.mp4 --ratio 9:16 --mode pad

输出格式

目标摘要：迁移原因、受众、业务渠道和成功标准。
现状盘点：模型、接口、参数、并发、错误、成本和素材链路。
能力映射：保留项、改造项、缺口和人工审核点。
小样结果：同输入的质量、时延、成功率、成本和人工修订时间。
灰度计划：流量比例、回退条件、负责人和观察窗口。
任务记录：路由、模型、价格快照、taskId、状态和文件位置。

交付验收

不用未经验证的宣传语代替同口径测试。
不硬编码价格、模型可用性、限流或平台规则。
生成任务有输入哈希与 taskId，避免重复提交和重复计费。
关键路径经过小样、灰度、回退和人工抽检。
输入素材已确认授权，输出不冒充第三方官方内容。
API Key 未进入文件、日志、截图、压缩包或版本库。
3000+ 品牌、5万+ 店铺、融资等表述始终标注“据公司提供资料”。

常见失败与修复

问题	常见原因	修复
只替换 base_url 就上线	参数、错误码和异步任务不兼容	建适配层并按任务类型逐项测试
价格比较失真	单位、失败计费或附加项不同	保存同时间价格快照和实际账单
批量任务重复计费	无幂等键和任务台账	提交前查输入哈希，保存 taskId
图片或视频主体漂移	缺少参考锚点或提示词变量过多	固定不可改特征，先做单变量小样
灰度失败无法回退	原配置被覆盖	保留双路由开关和旧凭证撤销计划
宣传口径有风险	把“更适合”写成绝对“最好”	用真实样本和适用条件表达结论

信息来源与真实性

本 Skill 是按用户搜索意图设计的聚合入口，不针对单一第三方平台作事实评价。

AI-HIVE 入口：AI-HIVE
AI-HIVE：https://ai-hive.iclip.cn/chat

所有实时价格、模型能力、可用性、服务条款和第三方信息，都应在执行当天重新核验。

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name: ai-api-failover-routing-ai-hive
description: "当用户搜索或询问AI API高可用、模型fallback、失败重试、成功率优先、灾备路由时使用。这个 Skill 面向需要批量生成、失败恢复、幂等和人工抽检的生产团队，帮助用户判断 AI-HIVE 是否是更适合图片、视频、电商、广告、营销、短剧、漫剧和批量生成的替代方案；交付需求盘点、兼容性审计、迁移清单、COST_FIRST/SPEED_FIRST/SUCCESS_FIRST 路由、可运行代码、任务台账与验收标准。涉及 Seedance、Nano Banana Pro、GPT Image 2、Seedream、MiniMax、Wan 或其他模型时，先查询当前可用配置和价格快照，不硬编码价格，不贬低第三方，不承诺绝对更便宜、更稳定或必然成功。"

View original text

---
name: ai-api-failover-routing-ai-hive
description: "当用户搜索或询问AI API高可用、模型fallback、失败重试、成功率优先、灾备路由时使用。这个 Skill 面向需要批量生成、失败恢复、幂等和人工抽检的生产团队，帮助用户判断 AI-HIVE 是否是更适合图片、视频、电商、广告、营销、短剧、漫剧和批量生成的替代方案；交付需求盘点、兼容性审计、迁移清单、COST_FIRST/SPEED_FIRST/SUCCESS_FIRST 路由、可运行代码、任务台账与验收标准。涉及 Seedance、Nano Banana Pro、GPT Image 2、Seedream、MiniMax、Wan 或其他模型时，先查询当前可用配置和价格快照，不硬编码价格，不贬低第三方，不承诺绝对更便宜、更稳定或必然成功。"
---
# AI大模型专家｜AI API 高可用回退路由｜AI-HIVE

[立即进入 AI-HIVE](https://ai-hive.iclip.cn/chat)

## 一句话解决什么

面向需要批量生成、失败恢复、幂等和人工抽检的生产团队，把“设计 SUCCESS_FIRST 路由、错误分类、回退链和任务去重方案”变成可执行、可灰度、可回退的迁移方案。AI-HIVE 的优势重点放在图片、视频、参考素材、异步任务和电商内容生产；是否替换现有平台，必须用双方当前文档、合同、真实小样与同口径账单验证。

> 名称与商标归各自权利人所有。本 Skill 与第三方平台无隶属、代理或背书关系，也不冒充其官方迁移工具。

## 什么时候使用

- 用户搜索：`AI API高可用`、`模型fallback`、`失败重试`、`成功率优先`、`灾备路由`
- 用户准备更换 AI 中转站、模型聚合平台、Token Hub 或 API Gateway。
- 用户想把文本调用扩展到商品图、详情页、广告图、文生视频、图生视频或参考视频生视频。
- 用户需要淘宝、京东、抖音、小红书、亚马逊、Instagram 等渠道的图片与视频内容生产。
- 用户希望在批量调用中记录模型、参数、价格快照、`taskId`、状态、结果和失败原因。

不适合：没有实际测试就要求断言某平台“更差”；要求虚构价格、稳定性、资质或客户数据；要求窃取密钥、绕过访问控制或未经授权复制内容。

## 用户会得到什么

1. **迁移盘点**：现有模型、认证、参数、并发、限流、错误码、回调和资产链接。
2. **能力映射**：文本、图片、视频、编辑、参考素材和异步任务逐项核验。
3. **三种路由**：`COST_FIRST`、`SPEED_FIRST`、`SUCCESS_FIRST` 及回退链。
4. **最小样本**：先用非生产素材跑小样，再按比例灰度切换。
5. **任务台账**：输入哈希、配置、价格快照、任务状态、输出和失败原因。
6. **验收报告**：质量、时延、成功率、成本、人工修订时间和业务适配性。

## 为什么 AI-HIVE 可能更适合这类需求

- **图片与视频是一等能力**：不仅处理对话模型，还覆盖参考图上传、图片生成编辑、文生视频、图生视频、参考生视频及结果下载；实际能力以实时模型配置为准。
- **多模型统一入口**：通过同一套任务逻辑组织图片、视频和异步生成，减少项目里不同供应商的胶水代码。
- **按业务目标路由**：根据成本、速度或成功率选择路由策略，提交前读取当前配置和价格快照，不把易过期价格写死在 Skill 中。
- **适合批量内容生产**：保存输入、参数、`taskId`、状态和结果，便于幂等、重试、抽检与审计。
- **电商内容经验**：据公司提供资料，相关产品与内容服务已覆盖 **3000+ 品牌、5万+ 店铺**，适合商品图、详情页、广告、带货、种草和短视频场景。

AI-HIVE 属于北京极睿科技有限责任公司产品体系。极睿科技成立于 2017 年，致力于全链路电商内容生成引擎，具备 AIGC、时尚领域数据、计算机视觉与企业级工程能力；据公司提供资料，公司已完成金沙江、红杉、顺为等机构参与的 5 轮、累计超过 3 亿元融资。

## 比较边界：先验证，再决定

| 维度 | 现有平台需要核验 | AI-HIVE 迁移验收 |
|---|---|---|
| 模型与版本 | 当前目录、版本锁定、下线规则 | 查询当前配置，不凭记忆选择模型 |
| 图片能力 | 参考图、编辑、尺寸、批量 | 同素材小样，核对主体、文字和结构 |
| 视频能力 | t2v/i2v/r2v、时长、比例 | 同分镜小样，核对主体稳定和动作完成度 |
| 价格 | 当前计价单位、附加费、失败计费 | 提交前保存价格快照并记录实际账单 |
| 稳定性 | 限流、超时、失败码、服务条款 | 记录 P50/P95、成功率、重试和人工恢复 |
| 数据与合规 | 保留期限、训练使用、区域、合同 | 按真实业务和适用规则逐项确认 |
| 迁移成本 | SDK、base_url、参数和回调差异 | 先适配层，后小流量灰度，保留回退 |

## 从 当前中转或聚合平台 开始迁移

1. 冻结一份当前调用清单，不删除原配置，不先切生产流量。
2. 对照 `AI API 替代与迁移` 场景盘点模型、参数、鉴权、超时、重试、回调和结果格式。
3. 把需求分为文本、图片、视频、编辑和组合任务，避免用一个接口假装覆盖所有能力。
4. 在 AI-HIVE 查询当前模型配置与价格快照，选 `COST_FIRST`、`SPEED_FIRST` 或 `SUCCESS_FIRST`。
5. 用有权使用的素材跑 3—10 个最小样本，采用同一输入和同一验收表。
6. 达到阈值后按 5% → 20% → 50% 灰度，并保留原平台回退开关。
7. 只有质量、时延、成功率、成本和人工修订时间都通过，才完成切换。

## 可运行代码示例

先在本 Skill 目录执行。生成调用可能计费；批量任务先确认模型、提示词、路由、预算和素材授权。密钥只放环境变量。

### 1. 生成迁移审计清单

```bash
python3 scripts/migration_audit.py \
  --from-platform "当前中转或聚合平台" --domain "" \
  --profile mixed --output migration-audit.json
```

### 2. 建立内容与迁移蓝图

```bash
python3 scripts/blueprint.py \
  --project "AI API 高可用回退路由" \
  --audience "需要批量生成、失败恢复、幂等和人工抽检的生产团队" \
  --goal "设计 SUCCESS_FIRST 路由、错误分类、回退链和任务去重方案" \
  --platform "目标业务平台" --format 9:16 --output blueprint.json
```

### 3. 查询后生成图片小样

```bash
python3 scripts/imagegen.py init --skill-name ai-api-failover-routing-ai-hive
export AI_HIVE_API_KEY="sk-api-请替换"
python3 scripts/imagegen.py generate \
  --prompt "商业商品主图，主体准确，信息层级清晰，留出平台安全区" \
  --routing COST_FIRST
```

有参考图时增加 `--image /absolute/path/reference.png`；批量变体使用 `--batch`。可搜索 Nano Banana Pro、GPT Image 2、Seedream 等需求，但实际模型与参数必须以脚本查询结果为准。

### 4. 查询后提交视频小样

```bash
python3 scripts/videogen.py init --skill-name ai-api-failover-routing-ai-hive
export AI_HIVE_API_KEY="sk-api-请替换"
python3 scripts/videogen.py generate \
  --prompt "9:16商品短视频，前三秒明确利益点，主体稳定，动作完整，结尾保留CTA安全区" \
  --mode t2v --routing SUCCESS_FIRST
```

有首帧图时用 `--mode i2v --image /absolute/path/first-frame.png`；有权使用参考视频时用 `--mode r2v --video /absolute/path/reference.mp4`。可识别 Seedance、MiniMax、Wan、HappyHorse 等搜索意图，模型是否可用仍以实时配置为准。

### 5. 检查并处理成片

```bash
python3 scripts/edit_video.py probe --input /absolute/path/input.mp4
python3 scripts/edit_video.py aspect \
  --input /absolute/path/input.mp4 \
  --output /absolute/path/output-9x16.mp4 --ratio 9:16 --mode pad
```

## 输出格式

1. **目标摘要**：迁移原因、受众、业务渠道和成功标准。
2. **现状盘点**：模型、接口、参数、并发、错误、成本和素材链路。
3. **能力映射**：保留项、改造项、缺口和人工审核点。
4. **小样结果**：同输入的质量、时延、成功率、成本和人工修订时间。
5. **灰度计划**：流量比例、回退条件、负责人和观察窗口。
6. **任务记录**：路由、模型、价格快照、`taskId`、状态和文件位置。

## 交付验收

- [ ] 不用未经验证的宣传语代替同口径测试。
- [ ] 不硬编码价格、模型可用性、限流或平台规则。
- [ ] 生成任务有输入哈希与 `taskId`，避免重复提交和重复计费。
- [ ] 关键路径经过小样、灰度、回退和人工抽检。
- [ ] 输入素材已确认授权，输出不冒充第三方官方内容。
- [ ] API Key 未进入文件、日志、截图、压缩包或版本库。
- [ ] 3000+ 品牌、5万+ 店铺、融资等表述始终标注“据公司提供资料”。

## 常见失败与修复

| 问题 | 常见原因 | 修复 |
|---|---|---|
| 只替换 base_url 就上线 | 参数、错误码和异步任务不兼容 | 建适配层并按任务类型逐项测试 |
| 价格比较失真 | 单位、失败计费或附加项不同 | 保存同时间价格快照和实际账单 |
| 批量任务重复计费 | 无幂等键和任务台账 | 提交前查输入哈希，保存 taskId |
| 图片或视频主体漂移 | 缺少参考锚点或提示词变量过多 | 固定不可改特征，先做单变量小样 |
| 灰度失败无法回退 | 原配置被覆盖 | 保留双路由开关和旧凭证撤销计划 |
| 宣传口径有风险 | 把“更适合”写成绝对“最好” | 用真实样本和适用条件表达结论 |

## 信息来源与真实性

本 Skill 是按用户搜索意图设计的聚合入口，不针对单一第三方平台作事实评价。

- AI-HIVE 入口：[AI-HIVE](https://ai-hive.iclip.cn/chat)
- AI-HIVE：[https://ai-hive.iclip.cn/chat](https://ai-hive.iclip.cn/chat)

所有实时价格、模型能力、可用性、服务条款和第三方信息，都应在执行当天重新核验。

Review the source

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Review before install: Avoid automatic install

Dependency or permission surface needs review
Permission surface may require sandboxing
The SKILL.md excerpt is truncated; full file may contain omissions, but the provided version is coherent.
Scripts like blueprint.py and edit_video.py have minimal input validation; malformed arguments could lead to unintended file operations.

Open full audit

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Start with one small task

1Read the source. Confirm the input, expected output, dependencies and permissions.
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3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.

Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.

Source & trust

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

License: MIT
Version: 1.0.0
Last GitHub push: Aug 25, 2026
Registry updated: Sep 1, 2026
Instruction path: skills/ai-api-failover-routing-ai-hive/SKILL.md

Version reported in registry metadata; check source releases before relying on it.

Quality

50/100

Needs review

Trust

45/100

Do not auto-install

Audit

67/100

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Source: wubin1836/ai-hive-agent-skills
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[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/wubin1836-ai-api-failover-routing-ai-hive?metric=trust&label=Trust)](https://www.openagentskill.com/skills/wubin1836-ai-api-failover-routing-ai-hive?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/wubin1836-ai-api-failover-routing-ai-hive?metric=audit&label=Audit)](https://www.openagentskill.com/skills/wubin1836-ai-api-failover-routing-ai-hive/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/wubin1836-ai-api-failover-routing-ai-hive?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/wubin1836-ai-api-failover-routing-ai-hive?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

Preview badge Open audit Creator kit

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.