feat: 多平台 Coding Plan 统一管理系统初始实现

- 支持 MiniMax/OpenAI/Google Gemini/智谱/Kimi 五个平台 - 插件化 Provider 架构，自动发现注册 - 多维度 QuotaRule 额度追踪（固定间隔/自然周期/API同步/手动） - OpenAI + Anthropic 兼容 API 代理，SSE 流式转发 - Model 路由表 + 额度耗尽自动 fallback - 多媒体任务队列（图片/语音/视频） - Vue3 + Tailwind 单文件 Web 仪表盘 - Docker 一键部署 Made-with: Cursor
2026-03-31 15:50:42 +08:00
commit 61ce809634
28 changed files with 2804 additions and 0 deletions
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+"""OpenAI (GPT) 适配器"""
+
+from __future__ import annotations
+
+import json
+from typing import Any, AsyncGenerator
+
+import httpx
+
+from app.providers.base import BaseProvider, Capability, QuotaInfo
+
+
+class OpenAIProvider(BaseProvider):
+    name = "openai"
+    display_name = "OpenAI"
+    capabilities = [Capability.CHAT, Capability.IMAGE, Capability.EMBEDDING]
+
+    async def chat(
+        self,
+        messages: list[dict],
+        model: str,
+        plan: dict,
+        stream: bool = True,
+        **kwargs,
+    ) -> AsyncGenerator[str, None]:
+        url = f"{self._base_url(plan)}/chat/completions"
+        body: dict[str, Any] = {
+            "model": model,
+            "messages": messages,
+            "stream": stream,
+            **kwargs,
+        }
+        headers = self._build_headers(plan)
+
+        async with httpx.AsyncClient(timeout=120) as client:
+            if stream:
+                async with client.stream("POST", url, json=body, headers=headers) as resp:
+                    resp.raise_for_status()
+                    async for line in resp.aiter_lines():
+                        if line.startswith("data: "):
+                            yield line + "\n\n"
+                        elif line.strip() == "":
+                            continue
+            else:
+                resp = await client.post(url, json=body, headers=headers)
+                resp.raise_for_status()
+                yield json.dumps(resp.json())
+
+    async def generate_image(self, prompt: str, plan: dict, **kwargs) -> dict[str, Any]:
+        url = f"{self._base_url(plan)}/images/generations"
+        body = {"model": kwargs.get("model", "dall-e-3"), "prompt": prompt, "n": 1, **kwargs}
+        headers = self._build_headers(plan)
+        async with httpx.AsyncClient(timeout=120) as client:
+            resp = await client.post(url, json=body, headers=headers)
+            resp.raise_for_status()
+            return resp.json()