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接口AI 平台参考

Jiekou AI Platform Reference

按以下流程处理：
  1. 识别用户所属场景（模型调用、集成方案、故障排查）。
  2. 使用 WebFetch 或等效 HTTP 读取工具，从下方映射表中获取所需的最少参考文件。
  3. 将价格、模型可用性和服务状态视为动态数据，回答前先获取最新信息。
  4. 尽量返回可直接复制粘贴的命令或代码片段。
  5. 如果本地参考文件未涵盖所需内容，提供最接近的经验证指引，明确说明缺口，并指向官方实时文档。
Follow the following process:
  1. Identify the user's scenario (model invocation, integration solution, troubleshooting).
  2. Use WebFetch or equivalent HTTP reading tools to obtain the minimum required reference files from the mapping table below.
  3. Treat pricing, model availability, and service status as dynamic data, and obtain the latest information before answering.
  4. Try to return commands or code snippets that can be directly copied and pasted.
  5. If the local reference files do not cover the required content, provide the closest verified guidelines, clearly state the gaps, and point to the official real-time documentation.

LLM(大语言模型) 快速参考

LLM (Large Language Model) Quick Reference

键值
API Base URL
https://api.jiekou.ai/openai
鉴权方式
Authorization: Bearer <API_KEY>
获取 API Keyhttps://jiekou.ai/settings/key-management
模型列表https://jiekou.ai
定价https://jiekou.ai/pricing
控制台https://jiekou.ai/console
KeyValue
API Base URL
https://api.jiekou.ai/openai
Authentication Method
Authorization: Bearer <API_KEY>
Get API Keyhttps://jiekou.ai/settings/key-management
Model Listhttps://jiekou.ai
Pricinghttps://jiekou.ai/pricing
Consolehttps://jiekou.ai/console

图像、视频、音频 API 快速参考

Image, Video, Audio API Quick Reference

接口AI 聚合了业内主流的多模态 API，覆盖图像生成、视频生成和语音合成三大方向。
键值
鉴权方式
Authorization: Bearer <API_KEY>
（同 LLM）
获取 API Keyhttps://jiekou.ai/settings/key-management
API 文档（MCP）https://jiekou.mintlify.app/mcp
视频统一接口文档https://jiekou.ai/docs/models/reference-unified-video-generation
定价https://jiekou.ai/pricing
Jiekou AI aggregates mainstream multimodal APIs in the industry, covering three major directions: image generation, video generation, and speech synthesis.
KeyValue
Authentication Method
Authorization: Bearer <API_KEY>
(same as LLM)
Get API Keyhttps://jiekou.ai/settings/key-management
API Documentation (MCP)https://jiekou.mintlify.app/mcp
Unified Video API Documentationhttps://jiekou.ai/docs/models/reference-unified-video-generation
Pricinghttps://jiekou.ai/pricing

文档映射表

Documentation Mapping Table

问题读取此文件实时文档
快速入门quick-start.md-
LLM API 使用llm-guide.mdAPI 参考
图像 / 视频 / 音频 APIquick-start.md §3MCP 工具 · 视频统一接口
工具集成integrations.md-
常见问题faq.md-
QuestionRead this fileReal-time Documentation
Quick Startquick-start.md-
LLM API Usagellm-guide.mdAPI Reference
Image / Video / Audio APIquick-start.md §3MCP Tool · Unified Video API
Tool Integrationintegrations.md-
Frequently Asked Questionsfaq.md-

参考文件选择规则

Reference File Selection Rules

  • 初次配置和最简示例使用 
    quick-start.md
    （见上方映射表）。
  • 聊天补全、工具调用、视觉、JSON 模式和批量任务使用 
    llm-guide.md
    （见上方映射表）。
  • 图像生成、视频生成、语音合成等多模态 API 使用 
    quick-start.md §3
    ，并指向 MCP 工具文档获取完整参数说明。
  • 集成问题统一以 
    integrations.md
    （见上方映射表）为入口，再从中选择子文档。
  • 调试时优先使用 
    faq.md
    （见上方映射表）。
  • 如果无法从 GitHub 获取原始文件，回退到本技能目录中的本地 
    references/*.md
    文件。
  • 若答案涉及配额、定价、模型数量，请先通过实时文档/API 验证，并在响应中注明验证日期。
  • Use 
    quick-start.md
    (see the mapping table above) for initial configuration and minimal examples.
  • Use 
    llm-guide.md
    (see the mapping table above) for chat completion, tool calling, vision, JSON mode, and batch tasks.
  • For multimodal APIs such as image generation, video generation, and speech synthesis, use 
    quick-start.md §3
    , and refer to the MCP tool documentation for complete parameter descriptions.
  • Integration issues uniformly use 
    integrations.md
    (see the mapping table above) as the entry point, then select sub-documents from it.
  • Prioritize using 
    faq.md
    (see the mapping table above) during debugging.
  • If the original file cannot be obtained from GitHub, fall back to the local 
    references/*.md
    files in this skill directory.
  • If the answer involves quotas, pricing, or the number of models, verify through real-time documentation/API first, and note the verification date in the response.

动态数据策略

Dynamic Data Strategy

  • 将模型目录大小、定价、限流、延迟和区域可用性视为动态数据。
  • 在最终响应中以 
    Verified on: YYYY-MM-DD
    格式标注动态数据的验证时间。
  • 如果无法实时验证，明确说明数据可能已过期，并附上官方来源链接。
  • Treat model catalog size, pricing, rate limiting, latency, and regional availability as dynamic data.
  • Mark the verification time of dynamic data in the format 
    Verified on: YYYY-MM-DD
    in the final response.
  • If real-time verification is not possible, clearly state that the data may be outdated, and attach the official source link.

动态数据（始终获取最新值）

Dynamic Data (Always Get the Latest Values)

获取最新模型列表

Get the Latest Model List

bash
curl https://api.jiekou.ai/openai/v1/models \
  -H "Authorization: Bearer $接口AI_API_KEY"
bash
curl https://api.jiekou.ai/openai/v1/models \
  -H "Authorization: Bearer $接口AI_API_KEY"

当前定价

Current Pricing

访问 https://jiekou.ai/pricing 查看最新定价。
Visit https://jiekou.ai/pricing to view the latest pricing.