"""pipeline_llm.selection — 模型选择的唯一收敛点(下拉数据/引用解析/缺省模型)。 2026-09-04 收敛改造:此前模型选择逻辑散在 pipeline-sdlc(cockpit/get_model_options/ set_agent_model)、pipeline-core(agent_model_options、旧 llm CRUD)、pipeline-service (gateway/agent_loop 内联 SQL)多处,各查各的表、语义漂移。现全部收敛到本模块: - model_options() 所有模型下拉的唯一数据源 - resolve_model_name() 模型引用(id/vendor_model_id/name)→ 注册名的唯一解析点 - org_available_models() 机构可用模型清单(冒泡检测用) - 缺省模型由机构策略决定(inference._pick_default_model_name),不再写死模型名 其他模块只允许薄壳委托(dspy 3-5 行)或函数调用,禁止再内联模型表 SQL。 """ import logging from sqlor.dbpools import DBPools from ahserver.serverenv import ServerEnv logger = logging.getLogger("pipeline_llm.selection") def _get_sor(): env = ServerEnv() fn = getattr(env, 'get_module_dbname', None) dbname = 'pipeline' if callable(fn): try: dbname = fn('pipeline_llm') or 'pipeline' except Exception: dbname = 'pipeline' return DBPools(), dbname async def model_options(org_id, uid='', session_id='', pipeline_id='', value_field='id'): """模型选择下拉的唯一数据源(对齐 llmage 分类:capability=能力类型)。 机构语义与推理链一致:本机构 + 系统级共享(org_id 空/'0')可见。 selected 标记:项目已设模型(sd_projects.default_model,存 name)> 个人全局选择(pipeline_agent_settings.default_llm_id,存 id)。 value_field: 'id'=下拉值用模型 id(AgentIO 场景);'name'=用注册名(角色模型配置场景)。 """ db, dbname = _get_sor() rows = [] async with db.sqlorContext(dbname) as sor: sql = ("SELECT m.id, m.name, m.vendor_model_id, m.capability, v.name AS vendor_name " "FROM llm_model m LEFT JOIN llm_vendor v ON v.id=m.vendor_id " "WHERE m.status='active'") params = {} if org_id and org_id != '0': sql += " AND (m.org_id=${org}$ OR m.org_id='' OR m.org_id='0')" params['org'] = org_id sql += " ORDER BY m.name" recs = await sor.sqlExe(sql, params) # 项目已设模型(按会话解析当前项目) project_model = '' if uid: try: from pipeline_service.workspace import get_session_project_id _pid = await get_session_project_id( sor, uid, session_id or '', pipeline_id or '') if _pid: _p = await sor.sqlExe( "SELECT default_model FROM sd_projects WHERE id=${p}$", {"p": _pid}) await sor.sqlExe("COMMIT", {}) if _p: project_model = getattr(_p[0], 'default_model', '') or '' except Exception as e: logger.debug("model_options 项目模型解析跳过: %s", e) # 个人全局默认选择 current_llm_id = '' if uid: try: _s = await sor.sqlExe( "SELECT default_llm_id FROM pipeline_agent_settings WHERE user_id=${u}$", {"u": uid}) if _s: current_llm_id = getattr(_s[0], 'default_llm_id', '') or '' except Exception: pass for r in (recs or []): vname = getattr(r, 'vendor_name', '') or '' rows.append({ 'value': r.id if value_field != 'name' else r.name, 'text': r.name + (' (' + vname + ')' if vname else ''), 'provider': vname, 'model_id': r.id, 'model_id_text': r.name, 'capabilities': getattr(r, 'capability', '') or 't2t', 'selected': ((r.name == project_model) if project_model else (r.id == current_llm_id)), }) return rows async def resolve_model_name(model_ref, org_id=''): """模型引用解析的唯一入口:id / vendor_model_id / name → 模型注册名。 机构隔离:非系统级机构只能解析「本机构 + 系统级共享」模型。 解析不到返回 ''(调用方决定回退/报错,禁止自行另查表)。 """ if not model_ref: return '' db, dbname = _get_sor() async with db.sqlorContext(dbname) as sor: recs = await sor.sqlExe( "SELECT name, org_id FROM llm_model WHERE status='active' " "AND (id=${m}$ OR vendor_model_id=${m}$ OR name=${m}$) LIMIT 1", {"m": model_ref}) await sor.sqlExe("COMMIT", {}) if not recs: return '' m_org = getattr(recs[0], 'org_id', '') or '' if org_id and org_id != '0' and m_org not in ('', '0', org_id): logger.warning("resolve_model_name: 模型 %s 不属于机构 %s", model_ref, org_id) return '' return getattr(recs[0], 'name', '') or '' async def org_available_models(org_id, capability=''): """机构可用模型注册名列表(本机构 + 系统级共享)。空 = 机构未配置模型。""" db, dbname = _get_sor() async with db.sqlorContext(dbname) as sor: sql = "SELECT name, capability FROM llm_model WHERE status='active'" params = {} if org_id and org_id != '0': sql += " AND (org_id=${org}$ OR org_id='' OR org_id='0')" params['org'] = org_id if capability: sql += " AND capability=${c}$" params['c'] = capability recs = await sor.sqlExe(sql, params) await sor.sqlExe("COMMIT", {}) return [getattr(r, 'name', '') or '' for r in (recs or [])] def load_selection(): """注册到 ServerEnv(供各模块 dspy 薄壳调用)。""" env = ServerEnv() env.llm_model_options = model_options env.llm_resolve_model_name = resolve_model_name env.llm_org_available_models = org_available_models logger.info("[pipeline_llm] selection loaded")