refactor: 移除LLM旧兼容入口并统一scene单路由
变更项: 1. LLMRegistry 仅保留 scene 入口,删除 backend_name/backend_ref/scene_ref 等兼容解析分支,未声明 scene 时仅保留直连配置。 2. Dify/GlobalNews/GameTask 插件初始化改为仅传 scene,不再拼接 backend/provider/url 等旧兼容字段。 3. 清理插件配置冗余:dify/global_news/game_task/douyu 的 config.toml 删除 backend 字段,统一由 scene 映射后端。 4. 后台 system API 调整为严格模式:插件依赖扫描仅采集 scene;scene 保存时必须绑定有效 backend。 5. 后台页面去除拓扑中的配置Backend冗余列,并新增前端校验,禁止提交空场景或未绑定后端。
This commit is contained in:
@@ -45,11 +45,11 @@ def _plugins_root_path() -> str:
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def _scan_plugin_llm_usage() -> list:
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"""扫描各插件 config.toml,提取插件与 LLM 后端/场景的引用关系。
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"""扫描各插件 config.toml,提取插件与 LLM 场景的引用关系。
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说明:
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1. 该扫描仅用于后台可视化,不会改写插件配置;
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2. 兼容两种写法:顶层 section 下直接写 backend/scene,或嵌套在 llm/api/report_api 等节点;
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2. 严格模式只采集 scene:顶层 section 写法,或嵌套在 llm/api/report_api 等节点;
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3. 返回结果用于“插件 -> scene -> backend”依赖拓扑展示。
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"""
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plugins_root = _plugins_root_path()
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@@ -59,17 +59,15 @@ def _scan_plugin_llm_usage() -> list:
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usages = []
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def _collect_refs(plugin_name: str, section_name: str, payload: dict) -> None:
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"""从单个配置节点收集 backend/scene 引用。"""
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"""从单个配置节点收集 scene 引用。"""
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if not isinstance(payload, dict):
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return
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backend_name = str(payload.get("backend") or "").strip()
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scene_name = str(payload.get("scene") or payload.get("scene_name") or "").strip()
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if not backend_name and not scene_name:
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scene_name = str(payload.get("scene") or "").strip()
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if not scene_name:
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return
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usages.append({
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"plugin": plugin_name,
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"section": section_name,
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"backend": backend_name,
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"scene": scene_name,
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})
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@@ -94,13 +92,13 @@ def _scan_plugin_llm_usage() -> list:
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for nested_name, nested_value in section_value.items():
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if isinstance(nested_value, dict):
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_collect_refs(item, f"{section_name}.{nested_name}", nested_value)
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# 顶层兜底:兼容极少数直接写在根节点的 backend/scene。
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# 顶层兜底:兼容极少数直接写在根节点的 scene。
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_collect_refs(item, "__root__", config_obj if isinstance(config_obj, dict) else {})
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# 去重:同插件同 section 仅保留一条记录,避免前后兜底重复。
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unique = {}
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for row in usages:
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key = f"{row.get('plugin')}::{row.get('section')}::{row.get('scene')}::{row.get('backend')}"
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key = f"{row.get('plugin')}::{row.get('section')}::{row.get('scene')}"
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unique[key] = row
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return sorted(unique.values(), key=lambda x: (x.get("plugin", ""), x.get("section", "")))
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@@ -117,12 +115,8 @@ def _build_llm_topology() -> dict:
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topology_rows = []
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for usage in plugin_usages:
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scene_name = str(usage.get("scene") or "").strip()
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backend_name = str(usage.get("backend") or "").strip()
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resolved_backend = backend_name
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# 若插件只写了 scene,则由 scenes 路由解析后端。
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if not resolved_backend and scene_name:
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resolved_backend = str(scenes.get(scene_name) or "").strip()
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# 若既没有 scene 也没有 backend,则兜底 default_backend(仅展示,不改配置)。
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# 严格模式:插件必须声明 scene,后端统一由 scenes 映射解析。
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resolved_backend = str(scenes.get(scene_name) or "").strip()
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if not resolved_backend:
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resolved_backend = default_backend
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@@ -130,10 +124,9 @@ def _build_llm_topology() -> dict:
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"plugin": usage.get("plugin", ""),
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"section": usage.get("section", ""),
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"scene": scene_name,
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"backend": backend_name,
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"resolved_backend": resolved_backend,
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"provider": str((backends.get(resolved_backend) or {}).get("provider", "") or "").strip(),
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"valid_scene": bool((not scene_name) or scene_name in scenes),
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"valid_scene": bool(scene_name in scenes),
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"valid_backend": bool((not resolved_backend) or resolved_backend in backends),
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})
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@@ -428,9 +421,11 @@ def update_system_llm_config():
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backend_name = str(raw.get("backend") or "").strip()
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if not scene_name:
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continue
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if backend_name and backend_name not in normalized_backends:
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# 严格模式:每个 scene 必须绑定一个有效 backend,避免“空绑定”导致运行时不确定性。
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if not backend_name:
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return jsonify({"success": False, "message": f"场景 {scene_name} 未绑定后端"}), 400
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if backend_name not in normalized_backends:
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return jsonify({"success": False, "message": f"场景 {scene_name} 绑定的后端不存在"}), 400
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# 允许场景先占位但暂不绑定后端,方便后台分步配置。
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normalized_scenes[scene_name] = backend_name
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config_obj = _load_system_yaml()
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@@ -54,7 +54,7 @@
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<div class="scene-list" v-if="llmForm.scenes.length">
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<div class="scene-row" v-for="(scene, index) in llmForm.scenes" :key="scene.uid">
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<el-input v-model="scene.name" placeholder="例如:chat.main"></el-input>
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<el-select v-model="scene.backend" placeholder="绑定后端" filterable clearable>
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<el-select v-model="scene.backend" placeholder="绑定后端" filterable>
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<el-option v-for="item in backendNameOptions" :key="item" :label="item" :value="item"></el-option>
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</el-select>
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<el-button type="text" class="danger-text" @click="removeScene(index)">删除</el-button>
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@@ -172,11 +172,6 @@
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<span v-else>-</span>
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</template>
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</el-table-column>
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<el-table-column prop="backend" label="配置Backend" min-width="160">
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<template slot-scope="scope">
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<span>{% raw %}{{ scope.row.backend || '-' }}{% endraw %}</span>
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</template>
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</el-table-column>
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<el-table-column prop="resolved_backend" label="实际Backend" min-width="160">
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<template slot-scope="scope">
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<el-tag v-if="scope.row.resolved_backend" size="mini" :type="scope.row.valid_backend ? 'success' : 'danger'">
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@@ -327,6 +322,14 @@
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}
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},
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async saveLlmConfig() {
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// 前端先做一次严格校验,避免把空场景名或未绑定后端的记录提交到后端。
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const invalidScene = (this.llmForm.scenes || []).find(item => {
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return !String(item.name || '').trim() || !String(item.backend || '').trim();
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});
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if (invalidScene) {
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this.$message.error('场景配置不完整:请确保每一行都填写场景名并绑定后端');
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return;
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}
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const payload = {
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default_backend: this.llmForm.default_backend || '',
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backends: (this.llmForm.backends || []).map(item => {
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@@ -2,8 +2,6 @@
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enable = true
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# 业务场景优先:聊天插件只关心 chat.main,由全局 llm.scenes 决定具体后端。
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scene = "chat.main"
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# 兼容字段保留:旧版本仍可读取 backend,新版本会优先走 scene 路由。
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backend = "dify_workflow_chat"
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commands = ["聊天"]
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command-tip = """
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@@ -98,25 +98,15 @@ class DifyPlugin(MessagePluginInterface):
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self._commands = dify_config.get("commands", ["ai", "dify", "聊天", "AI"])
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self.command_format = dify_config.get("command-tip", "聊天 请求内容")
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self.enable = dify_config.get("enable", True)
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raw_api_key = dify_config.get("api-key", "")
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raw_base_url = dify_config.get("base-url", "")
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self.price = dify_config.get("price", 0)
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self.admin_ignore = dify_config.get("admin_ignore", False)
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self.whitelist_ignore = dify_config.get("whitelist_ignore", False)
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self.http_proxy = dify_config.get("http-proxy", "")
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llm_config = dify_config.get("llm", {}) or {}
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if not llm_config:
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# 严格场景路由:插件初始化只传 scene,不再拼接 backend 兼容字段。
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llm_config = {
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# 优先支持场景路由:后台改 scene 绑定即可切换供应商/模型。
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"scene": dify_config.get("scene", ""),
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"backend": dify_config.get("backend", ""),
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"provider": "dify",
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"mode": "workflow",
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"api-key": raw_api_key,
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"base-url": raw_base_url,
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"endpoint": "workflows/run",
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"response_mode": "blocking",
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"request_timeout": 40,
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}
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self.llm_client = UnifiedLLMClient(llm_config)
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self.api_key = self.llm_client.api_key
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@@ -30,8 +30,6 @@ audience_stats_sample_interval_seconds = 0
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# 切换到“场景路由”模式:日报插件只关心 douyu.daily_report,
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# 具体绑定哪个后端由根目录 config.yaml 的 llm.scenes 统一维护。
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scene = "douyu.daily_report"
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# 兼容旧配置:保留 backend 作为回退字段。
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backend = "dify_workflow_douyu_daily_report"
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# 是否把完整结构化 payload(JSON 大对象)作为输入传给 Dify。
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# 某些 Workflow 对复杂输入类型校验严格,会导致 400,默认关闭以保证可用性。
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include_structured_inputs = false
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@@ -2,7 +2,6 @@
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enable = true
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# 通过 scene 绑定后端,便于后台统一切换百科出题与判分模型。
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scene = "game.task"
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backend = "openai_compatible_game_task"
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command = ["/t", "/a", "/s", "/r", "/l", "/h"]
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command-format = """
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🎮 百科问答指令:
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@@ -80,22 +80,11 @@ class GameTaskPlugin(MessagePluginInterface):
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/h - 查看未完成任务
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""")
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plugin_config = self._config.get("GameTask", {})
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self.authorization = plugin_config.get("authorization", "")
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self.url = plugin_config.get("url", "")
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self.model = plugin_config.get("model", "")
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llm_config = plugin_config.get("llm", {}) or {}
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if not llm_config:
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# 严格场景路由:仅通过 scene 映射具体后端与模型参数。
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llm_config = {
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# 场景路由优先,后台改 scene 即可替换出题/判分模型。
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"scene": plugin_config.get("scene", ""),
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"backend": plugin_config.get("backend", ""),
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"provider": "openai_compatible",
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"authorization": self.authorization,
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"url": self.url,
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"model": self.model,
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"stream": False,
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"temperature": 0.2,
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"max_tokens": 1000,
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}
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self.llm_client = UnifiedLLMClient(llm_config)
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@@ -3,7 +3,6 @@ enable = true
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command = ["全球新闻", "国际新闻", "环球新闻", "政经新闻", "政治经济新闻"]
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# 通过 scene 绑定后端,便于后台统一切换新闻分析模型。
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scene = "news.global"
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backend = "dify_chat_global_news"
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command-format = """
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🌍全球新闻指令:
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全球新闻 - 获取最新的全球政治经济新闻
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@@ -78,15 +78,9 @@ class GlobalNewsPlugin(MessagePluginInterface):
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self.enable = plugin_config.get("enable", True)
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llm_config = plugin_config.get("llm", {}) or {}
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if not llm_config:
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# 严格场景路由:仅由 scene 决定使用哪个后端。
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llm_config = {
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# 场景路由优先,便于后台统一切换新闻分析后端。
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"scene": plugin_config.get("scene", ""),
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"backend": plugin_config.get("backend", ""),
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"provider": "dify",
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"mode": "chat",
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"authorization": plugin_config.get("authorization", ""),
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"url": plugin_config.get("url", ""),
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"response_mode": "blocking",
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}
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self.llm_client = UnifiedLLMClient(llm_config)
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self.LOG.debug(f"[{self.name}] 插件初始化完成,指令:{self._commands}")
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@@ -94,15 +94,10 @@ class LLMRegistry:
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@classmethod
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def resolve(cls, local_config: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
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local = dict(local_config or {})
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# 兼容说明:
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# 1. 新链路优先支持 scene 字段,便于“业务场景 -> 后端”集中路由;
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# 2. 若未配置 scene,再按旧逻辑读取 backend,保持历史插件零改动可运行。
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scene_name = (
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local.get("scene")
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or local.get("scene_name")
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or local.get("scene_ref")
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or ""
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)
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# 严格模式说明:
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# 1. 统一只认 scene 作为路由入口,避免 backend/backend_ref 等多入口并存;
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# 2. 若未声明 scene,则视为“调用方直接给出完整连接参数”,原样返回 local。
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scene_name = local.get("scene") or ""
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scene_name = str(scene_name).strip()
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if scene_name:
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merged = cls.resolve_by_scene(scene_name)
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@@ -113,16 +108,4 @@ class LLMRegistry:
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merged["scene"] = scene_name
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return merged
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backend_name = (
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local.get("backend")
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or local.get("backend_name")
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or local.get("backend_ref")
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or ""
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)
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if not backend_name:
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return local
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merged = cls.get_backend(str(backend_name).strip())
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merged.update(local)
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merged["backend"] = backend_name
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return merged
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return local
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Block a user