M4b：ai_provider 删除手术①-⑥——神识全面接管模型出口
- ① 后端删除 app/ai_provider/（38 文件，含 anthropic/openai 格式、billing、audio、embedding）、services/ai_provider_admin.py、core/config/model_config.py、tests/ai_provider/（21 文件） - ② 连带退役 application/agent/（旧 Agent 循环/steer/follow-up/确认注册表）、application/skill_executor.py、app/skills/（python skills 孤儿）、endpoints/audio.py、application/imports.py（ProviderManager 消费方）；settings 端点收敛为生成偏好 - ③ runs.py 修剪：AgentRunRegistry/steer/follow-up/confirmations 端点退役，保留 list/get/events/cancel/stream；safety 确认改为直接落库裁决（pending→approved/denied） - ④ 前端删除：models 页、ModelGatewayView、gateway.ts、GatewayPanel（玄关）、ModelGatewayPanel/ModelStrategyForm、audio.ts/useVoiceInput、网关类型与 mock；设置页收敛为外观/语言/通知 - ⑤ 配置收敛：config/models|providers|pricing.example.yaml 归档 shenshi/config/；.env.example 删 provider keys/MODEL_ENDPOINT_POOL/MODEL_CONFIG_PATH，收敛 SHENSHI_* - ⑥ 验收：rg 审计灵台 Provider SDK import 与 ai_provider 引用归零；后端 528 passed（2 个预存失败经 HEAD 复跑验证与本手术无关）、前端 type-check+201 passed、神识 go vet+test、BFF 4 passed
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@@ -1,11 +1,8 @@
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"""设置服务：模型网关状态聚合与生成偏好。
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"""设置服务：生成偏好。
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模型网关状态从 config/models.yaml 派生，provider 密钥按 settings 是否配置脱敏为
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configured 布尔（绝不暴露值）；生成偏好为本地单用户单行，无则返回默认值。
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生成偏好为本地单用户单行，无则返回默认值；模型网关状态由神识承接（用户面见神识阁）。
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"""
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from app.ai_provider.config.loader import load_models_config
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from app.ai_provider.config.models import ModelConfig
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from app.core.config import settings
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from app.core.time import utc_now
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from app.db.session import AsyncSessionLocal
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@@ -13,96 +10,10 @@ from app.models.governance import GenerationPreferences
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from app.repositories import preferences as preferences_repo
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from app.schemas.preferences import (
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GenerationPreferencesResponse,
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LogicalModel,
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ModelEndpointStatus,
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ModelGatewayStatus,
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ProviderKeyStatus,
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UpdateGenerationPreferencesRequest,
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)
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from app.services.ai_provider_admin import get_endpoint_overrides_cache
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from app.services.serializers import generation_preferences_to_response
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# provider → 持有其 API Key 的环境变量名；未登记的 provider 回退 <PROVIDER>_API_KEY。
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_PROVIDER_KEY_ENV: dict[str, str] = {
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"openai": "OPENAI_API_KEY",
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"deepseek": "DEEPSEEK_API_KEY",
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"anthropic": "ANTHROPIC_API_KEY",
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"google": "GOOGLE_API_KEY",
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"minimax": "MINIMAX_API_KEY",
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"zhipu": "ZHIPU_API_KEY",
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"tencentcloud": "TENCENTCLOUD_API_KEY",
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"volcengine": "VOLCENGINE_ARK_API_KEY",
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"bailian": "BAILIAN_API_KEY",
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}
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def provider_configured(provider: str | None) -> bool:
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"""provider 的 API Key 是否已在 settings 配置（仅返回布尔，不暴露值）。"""
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if not provider:
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return False
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env_name = _PROVIDER_KEY_ENV.get(provider, f"{provider.upper()}_API_KEY")
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return bool(getattr(settings, env_name.lower(), None))
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def _endpoint_status(
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endpoint, model_name: str, provider: str, overrides_cache
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) -> ModelEndpointStatus:
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ov = overrides_cache.get((model_name, endpoint.name))
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return ModelEndpointStatus(
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name=endpoint.name,
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provider=provider,
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status=(ov.get("status") or endpoint.status) if ov else endpoint.status,
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weight=endpoint.weight,
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priority=endpoint.priority,
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is_overridden=ov is not None,
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has_url_override=bool(ov and ov.get("base_url")),
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has_key_override=bool(ov and ov.get("api_key")),
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base_url_env=endpoint.base_url_env,
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api_key_env=endpoint.api_key_env,
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)
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def _logical_model(cfg: ModelConfig, overrides_cache) -> LogicalModel:
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provider = cfg.provider or "unknown"
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endpoints = [
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_endpoint_status(ep, cfg.name, provider, overrides_cache) for ep in cfg.endpoints
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] or None
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return LogicalModel(
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name=cfg.name,
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display_name=cfg.display_name or cfg.name,
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provider=provider,
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capabilities=[k for k, v in cfg.resolved_capabilities().items() if v],
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routing_strategy=cfg.routing_strategy,
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supports_streaming=bool(cfg.supports_streaming),
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supports_thinking=bool(cfg.supports_thinking),
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supports_structured_output=bool(cfg.supports_structured_output),
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context_window=cfg.context_window,
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max_output_tokens=cfg.max_output_tokens,
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endpoints=endpoints,
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is_default=True if cfg.name == settings.default_model_hint else None,
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)
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def get_provider_gateway() -> ModelGatewayStatus:
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"""从 config/models.yaml 派生模型网关总览（含 DB 覆盖标记，脱敏不回原值）。"""
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models_cfg = load_models_config()
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overrides_cache = get_endpoint_overrides_cache()
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providers_seen: dict[str, None] = {}
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logical_models: list[LogicalModel] = []
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for cfg in models_cfg:
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logical_models.append(_logical_model(cfg, overrides_cache))
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provider = cfg.provider or "unknown"
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providers_seen.setdefault(provider, None)
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providers = [
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ProviderKeyStatus(provider=name, configured=provider_configured(name))
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for name in providers_seen
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]
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return ModelGatewayStatus(
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models=logical_models,
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providers=providers,
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default_model_hint=settings.default_model_hint,
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)
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def _default_preferences() -> GenerationPreferences:
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return GenerationPreferences(
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