1719d1f1f9
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>
130 lines
3.6 KiB
Python
130 lines
3.6 KiB
Python
"""
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Provider / CLI 检测与配置 API
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提供系统可用的 AI CLI 工具检测和 LLM Provider 状态查询
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"""
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import os
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from fastapi import APIRouter
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from ..services.cli_invoker import detect_available_clis, CLI_REGISTRY
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router = APIRouter(prefix="/providers", tags=["providers"])
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# 支持的 CLI 工具元信息
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CLI_META = {
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"claude": {
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"display_name": "Claude Code",
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"description": "Anthropic Claude CLI",
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"models": ["claude", "claude-sonnet", "claude-opus"],
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},
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"kimi": {
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"display_name": "Kimi CLI",
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"description": "Moonshot Kimi CLI",
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"models": ["kimi", "kimi-k2", "moonshot"],
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},
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"opencode": {
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"display_name": "OpenCode",
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"description": "OpenCode CLI (支持多种模型)",
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"models": ["opencode"],
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},
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}
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# 支持的 LLM API Provider
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API_PROVIDERS = {
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"anthropic": {
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"display_name": "Anthropic",
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"env_key": "ANTHROPIC_API_KEY",
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"models": ["claude-opus-4.6", "claude-sonnet-4.6", "claude-haiku-4.6"],
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},
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"openai": {
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"display_name": "OpenAI",
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"env_key": "OPENAI_API_KEY",
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"models": ["gpt-4o", "gpt-4-turbo", "gpt-3.5-turbo"],
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},
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"deepseek": {
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"display_name": "DeepSeek",
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"env_key": "DEEPSEEK_API_KEY",
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"models": ["deepseek-chat", "deepseek-coder"],
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},
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"google": {
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"display_name": "Google Gemini",
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"env_key": "GOOGLE_API_KEY",
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"models": ["gemini-2.5-pro", "gemini-2.5-flash"],
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},
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}
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@router.get("/")
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async def list_providers():
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"""
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列出所有可用的 AI Provider（CLI + API）
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前端用于填充 Agent 注册的模型下拉框和 Settings 的 Provider 配置区
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"""
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available_clis = detect_available_clis()
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cli_list = []
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for name, meta in CLI_META.items():
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installed = name in available_clis
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cli_list.append({
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"id": name,
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"type": "cli",
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"display_name": meta["display_name"],
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"description": meta["description"],
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"installed": installed,
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"path": available_clis.get(name, ""),
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"models": meta["models"],
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})
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api_list = []
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for name, meta in API_PROVIDERS.items():
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has_key = bool(os.environ.get(meta["env_key"]))
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api_list.append({
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"id": name,
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"type": "api",
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"display_name": meta["display_name"],
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"env_key": meta["env_key"],
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"configured": has_key,
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"models": meta["models"],
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})
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return {
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"cli": cli_list,
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"api": api_list,
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}
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@router.get("/models")
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async def list_available_models():
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"""
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列出当前可用的所有模型（已安装 CLI + 已配置 API Key 的模型）
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前端 Agent 注册弹窗的模型下拉框直接使用此接口
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"""
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available_clis = detect_available_clis()
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models = []
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for name in available_clis:
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meta = CLI_META.get(name, {})
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display = meta.get("display_name", name)
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for model in meta.get("models", [name]):
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models.append({
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"value": model,
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"label": f"{model} ({display})",
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"provider": name,
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"type": "cli",
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})
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for name, meta in API_PROVIDERS.items():
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if os.environ.get(meta["env_key"]):
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for model in meta["models"]:
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models.append({
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"value": model,
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"label": f"{model} ({meta['display_name']} API)",
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"provider": name,
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"type": "api",
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})
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return {"models": models}
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