重构 API 路由并新增工作流编排功能

后端： - 重构 agents, heartbeats, locks, meetings, resources, roles, workflows 路由 - 新增 orchestrator 和 providers 路由 - 新增 CLI 调用器和流程编排服务 - 添加日志配置和依赖项前端： - 更新 AgentsPage、SettingsPage、WorkflowPage 页面 - 扩展 api.ts 新增 API 接口其他： - 清理测试 agent 数据文件 - 新增示例工作流和项目审计报告 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 16:36:25 +08:00
parent 7a5a58b4e5
commit 1719d1f1f9
54 changed files with 3175 additions and 612 deletions
@@ -0,0 +1,129 @@
+"""
+Provider / CLI 检测与配置 API
+
+提供系统可用的 AI CLI 工具检测和 LLM Provider 状态查询
+"""
+
+import os
+from fastapi import APIRouter
+from ..services.cli_invoker import detect_available_clis, CLI_REGISTRY
+
+router = APIRouter(prefix="/providers", tags=["providers"])
+
+
+# 支持的 CLI 工具元信息
+CLI_META = {
+    "claude": {
+        "display_name": "Claude Code",
+        "description": "Anthropic Claude CLI",
+        "models": ["claude", "claude-sonnet", "claude-opus"],
+    },
+    "kimi": {
+        "display_name": "Kimi CLI",
+        "description": "Moonshot Kimi CLI",
+        "models": ["kimi", "kimi-k2", "moonshot"],
+    },
+    "opencode": {
+        "display_name": "OpenCode",
+        "description": "OpenCode CLI (支持多种模型)",
+        "models": ["opencode"],
+    },
+}
+
+# 支持的 LLM API Provider
+API_PROVIDERS = {
+    "anthropic": {
+        "display_name": "Anthropic",
+        "env_key": "ANTHROPIC_API_KEY",
+        "models": ["claude-opus-4.6", "claude-sonnet-4.6", "claude-haiku-4.6"],
+    },
+    "openai": {
+        "display_name": "OpenAI",
+        "env_key": "OPENAI_API_KEY",
+        "models": ["gpt-4o", "gpt-4-turbo", "gpt-3.5-turbo"],
+    },
+    "deepseek": {
+        "display_name": "DeepSeek",
+        "env_key": "DEEPSEEK_API_KEY",
+        "models": ["deepseek-chat", "deepseek-coder"],
+    },
+    "google": {
+        "display_name": "Google Gemini",
+        "env_key": "GOOGLE_API_KEY",
+        "models": ["gemini-2.5-pro", "gemini-2.5-flash"],
+    },
+}
+
+
+@router.get("/")
+async def list_providers():
+    """
+    列出所有可用的 AI Provider（CLI + API）
+
+    前端用于填充 Agent 注册的模型下拉框和 Settings 的 Provider 配置区
+    """
+    available_clis = detect_available_clis()
+
+    cli_list = []
+    for name, meta in CLI_META.items():
+        installed = name in available_clis
+        cli_list.append({
+            "id": name,
+            "type": "cli",
+            "display_name": meta["display_name"],
+            "description": meta["description"],
+            "installed": installed,
+            "path": available_clis.get(name, ""),
+            "models": meta["models"],
+        })
+
+    api_list = []
+    for name, meta in API_PROVIDERS.items():
+        has_key = bool(os.environ.get(meta["env_key"]))
+        api_list.append({
+            "id": name,
+            "type": "api",
+            "display_name": meta["display_name"],
+            "env_key": meta["env_key"],
+            "configured": has_key,
+            "models": meta["models"],
+        })
+
+    return {
+        "cli": cli_list,
+        "api": api_list,
+    }
+
+
+@router.get("/models")
+async def list_available_models():
+    """
+    列出当前可用的所有模型（已安装 CLI + 已配置 API Key 的模型）
+
+    前端 Agent 注册弹窗的模型下拉框直接使用此接口
+    """
+    available_clis = detect_available_clis()
+    models = []
+
+    for name in available_clis:
+        meta = CLI_META.get(name, {})
+        display = meta.get("display_name", name)
+        for model in meta.get("models", [name]):
+            models.append({
+                "value": model,
+                "label": f"{model} ({display})",
+                "provider": name,
+                "type": "cli",
+            })
+
+    for name, meta in API_PROVIDERS.items():
+        if os.environ.get(meta["env_key"]):
+            for model in meta["models"]:
+                models.append({
+                    "value": model,
+                    "label": f"{model} ({meta['display_name']} API)",
+                    "provider": name,
+                    "type": "api",
+                })
+
+    return {"models": models}