Files
MyGoNavi/frontend/src/components/ai/aiSettingsModalConfig.tsx
Syngnat b588235b62 feat(ai): 接入 Cursor Cloud Agents API
- 新增 cursor-agent provider,支持创建 agent、轮询 run 状态和 SSE 流式响应
- 接入 AITestProvider 与 AIListModels,支持 Cursor 官方 /v1/models 连通性测试和模型发现
- 在 AI 设置中新增 Cursor 供应商预设,固定 cursor-agent 协议并补齐默认端点配置
- 调整 provider readiness 与 insights 规则,允许 Cursor 未显式选模型时走官方默认模型
- 补充后端 provider/service 测试和前端 preset、表单、readiness 相关用例

Close #576
2026-06-18 12:35:58 +08:00

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import React from 'react';
import {
ApiOutlined,
AppstoreOutlined,
CloudOutlined,
ExperimentOutlined,
ThunderboltOutlined,
} from '@ant-design/icons';
import type {
AIMCPServerConfig,
AIProviderConfig,
AIProviderType,
AISkillConfig,
AIUserPromptSettings,
} from '../../types';
import {
QWEN_BAILIAN_ANTHROPIC_BASE_URL,
QWEN_CODING_PLAN_ANTHROPIC_BASE_URL,
QWEN_CODING_PLAN_MODELS,
resolveProviderPresetKey,
} from '../../utils/aiProviderPresets';
export interface ProviderPreset {
key: string;
label: string;
icon: React.ReactNode;
desc: string;
color: string;
backendType: AIProviderType;
fixedApiFormat?: string;
defaultBaseUrl: string;
defaultModel: string;
models: string[];
}
export const PROVIDER_PRESETS: ProviderPreset[] = [
{ key: 'openai', label: 'OpenAI', icon: <ApiOutlined />, desc: 'GPT-5.4 / 5.3 系列', color: '#10b981', backendType: 'openai', defaultBaseUrl: 'https://api.openai.com/v1', defaultModel: 'gpt-4o', models: [] },
{ key: 'deepseek', label: 'DeepSeek', icon: <ThunderboltOutlined />, desc: 'DeepSeek-V4 / R1', color: '#3b82f6', backendType: 'openai', defaultBaseUrl: 'https://api.deepseek.com/v1', defaultModel: 'deepseek-chat', models: [] },
{ key: 'qwen-bailian', label: '通义千问(百炼通用)', icon: <CloudOutlined />, desc: '百炼 Anthropic 兼容 / 模型从远端拉取', color: '#6366f1', backendType: 'anthropic', defaultBaseUrl: QWEN_BAILIAN_ANTHROPIC_BASE_URL, defaultModel: '', models: [] },
{ key: 'qwen-coding-plan', label: '通义千问Coding Plan', icon: <CloudOutlined />, desc: 'Claude Code CLI 代理链路 / 使用官方支持模型清单', color: '#4f46e5', backendType: 'custom', fixedApiFormat: 'claude-cli', defaultBaseUrl: QWEN_CODING_PLAN_ANTHROPIC_BASE_URL, defaultModel: '', models: QWEN_CODING_PLAN_MODELS },
{ key: 'zhipu', label: '智谱 GLM', icon: <ExperimentOutlined />, desc: 'GLM-5 / GLM-5-Turbo', color: '#0ea5e9', backendType: 'openai', defaultBaseUrl: 'https://open.bigmodel.cn/api/paas/v4', defaultModel: 'glm-4', models: [] },
{ key: 'moonshot', label: 'Kimi', icon: <ExperimentOutlined />, desc: 'Kimi K2.5 (Anthropic 兼容)', color: '#0d9488', backendType: 'anthropic', defaultBaseUrl: 'https://api.moonshot.cn/anthropic', defaultModel: 'moonshot-v1-8k', models: [] },
{ key: 'anthropic', label: 'Claude', icon: <ExperimentOutlined />, desc: 'Claude Opus/Sonnet', color: '#d97706', backendType: 'anthropic', defaultBaseUrl: 'https://api.anthropic.com', defaultModel: 'claude-3-5-sonnet-20241022', models: [] },
{ key: 'gemini', label: 'Gemini', icon: <CloudOutlined />, desc: 'Gemini 3.1 / 2.5 系列', color: '#059669', backendType: 'gemini', defaultBaseUrl: 'https://generativelanguage.googleapis.com', defaultModel: 'gemini-2.5-flash', models: [] },
{ key: 'volcengine-ark', label: '火山方舟', icon: <CloudOutlined />, desc: 'Ark 通用推理 / 豆包模型', color: '#0ea5e9', backendType: 'openai', defaultBaseUrl: 'https://ark.cn-beijing.volces.com/api/v3', defaultModel: '', models: [] },
{ key: 'volcengine-coding', label: '火山 Coding Plan', icon: <CloudOutlined />, desc: 'Ark Code / Coding Plan', color: '#0284c7', backendType: 'openai', defaultBaseUrl: 'https://ark.cn-beijing.volces.com/api/coding/v3', defaultModel: '', models: [] },
{ key: 'minimax', label: 'MiniMax', icon: <ExperimentOutlined />, desc: 'M3 / M2.7 系列 (Anthropic 兼容)', color: '#e11d48', backendType: 'anthropic', defaultBaseUrl: 'https://api.minimaxi.com/anthropic', defaultModel: 'MiniMax-M3', models: ['MiniMax-M3', 'MiniMax-M2.7', 'MiniMax-M2.7-highspeed'] },
{ key: 'codebuddy', label: 'CodeBuddy', icon: <ApiOutlined />, desc: '本地 CodeBuddy CLI / 官方登录态', color: '#2563eb', backendType: 'custom', fixedApiFormat: 'codebuddy-cli', defaultBaseUrl: '', defaultModel: '', models: [] },
{ key: 'cursor', label: 'Cursor', icon: <ApiOutlined />, desc: 'Cloud Agents API / 官方 API Key', color: '#7c3aed', backendType: 'custom', fixedApiFormat: 'cursor-agent', defaultBaseUrl: 'https://api.cursor.com/v1', defaultModel: '', models: [] },
{ key: 'ollama', label: 'Ollama', icon: <AppstoreOutlined />, desc: '本地部署开源模型', color: '#78716c', backendType: 'openai', defaultBaseUrl: 'http://localhost:11434/v1', defaultModel: 'llama3', models: [] },
{ key: 'custom', label: '自定义', icon: <AppstoreOutlined />, desc: '自定义 API 端点', color: '#64748b', backendType: 'custom', defaultBaseUrl: '', defaultModel: '', models: [] },
];
export const findPreset = (key: string): ProviderPreset =>
PROVIDER_PRESETS.find((preset) => preset.key === key) || PROVIDER_PRESETS[PROVIDER_PRESETS.length - 1];
export const matchProviderPreset = (
provider: Pick<AIProviderConfig, 'type' | 'baseUrl' | 'apiFormat'>,
): ProviderPreset => {
const presetKey = resolveProviderPresetKey(provider, PROVIDER_PRESETS, 'custom');
return findPreset(presetKey);
};
export const EMPTY_AI_USER_PROMPT_SETTINGS: AIUserPromptSettings = {
global: '',
database: '',
jvm: '',
jvmDiagnostic: '',
};
export const EMPTY_MCP_SERVER = (seed?: Partial<AIMCPServerConfig>): AIMCPServerConfig => {
const base: AIMCPServerConfig = {
id: `mcp-draft-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`,
name: '',
transport: 'stdio',
command: '',
args: [],
env: {},
enabled: true,
timeoutSeconds: 20,
};
return {
...base,
...seed,
transport: seed?.transport || base.transport,
args: Array.isArray(seed?.args) ? seed.args : base.args,
env: seed?.env || base.env,
enabled: seed?.enabled ?? base.enabled,
timeoutSeconds: seed?.timeoutSeconds || base.timeoutSeconds,
};
};
const waitFor = (delayMs: number) => new Promise<void>((resolve) => {
window.setTimeout(resolve, delayMs);
});
const readAIService = () => (window as any).go?.aiservice?.Service;
export const waitForAIService = async (attempts = 6, delayMs = 80) => {
for (let attempt = 0; attempt < attempts; attempt += 1) {
const service = readAIService();
if (service) {
return service;
}
if (attempt < attempts - 1) {
await waitFor(delayMs);
}
}
return readAIService();
};
export const EMPTY_SKILL = (): AISkillConfig => ({
id: `skill-draft-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`,
name: '',
description: '',
systemPrompt: '',
enabled: true,
scopes: ['global'],
requiredTools: [],
});