feat: 模型配置支持删除，岗位行动规划对接任务系统字典与批量新增 Skill

模型管理新增 DELETE 接口与前端删除能力（支持含斜杠的模型名）；行动规划改为 9 字段 JSON，prepare 传入 taskId/字典并绑定 position-roundtable-action-create Skill。

Co-authored-by: Cursor <cursoragent@cursor.com>

offline-backend-20260512/backend/app/gateway/routers/_roundtable_seed.py

@@ -30,7 +30,9 @@ Python 三引号字符串,导致「磁盘上的验证版」与「代码里的内
 
 > ⚠️ 维护提示:资源文件(``_roundtable_seed_assets/``)是**发布默认值**的唯一可信源。
 > 线上调优后,请把改动写回对应的资源 .md,否则下次新机器补建出来的还是旧版。
-> ``_ensure_one`` 只在目录缺失时复制,**不覆盖**已存在目录(尊重运维现场手改)。
+> ``_ensure_one`` 通常只在目录缺失时复制,**不覆盖**已存在目录(尊重运维现场手改)。
+> 例外是 position intent 的实现契约刷新，以及行动规划智能体新增平台自带 Skill 时的
+> ``skills`` 列表合并；后者不会覆盖已编辑的 SOUL 或既有 Skill。
 
 为什么 ``roundtable-coordinator`` 是单例而不是每次会话新建
 ------------------------------------------------------------
@@ -52,6 +54,8 @@ import logging
 from collections.abc import Iterable
 from pathlib import Path
 
+import yaml
+
 from deerflow.config.paths import get_paths
 
 logger = logging.getLogger(__name__)
@@ -108,6 +112,47 @@ _FUNCTIONAL_AGENT_IDS: tuple[str, ...] = (
 
 # seeder 会复制资源目录里的这些文件(存在即复制,缺失则跳过)。
 _SEED_FILES: tuple[str, ...] = ("config.yaml", "SOUL.md")
+_ACTION_PLAN_SKILL = "position-roundtable-action-create"
+
+
+def _ensure_action_plan_skill(agent_dir: Path) -> bool:
+    """Merge the owned batch-create Skill into an existing action planner.
+
+    The planner SOUL remains editable in the agent configuration drawer and is
+    therefore never overwritten here. The skill binding, however, is a runtime
+    integration contract: without it an already-deployed planner cannot read
+    the new SKILL.md or invoke the batch API script after a code upgrade.
+    """
+    config_path = agent_dir / "config.yaml"
+    try:
+        config = yaml.safe_load(config_path.read_text(encoding="utf-8")) if config_path.exists() else {}
+    except (OSError, yaml.YAMLError):
+        logger.warning("Unable to read action planner config for skill binding: %s", config_path)
+        return False
+    if not isinstance(config, dict):
+        logger.warning("Action planner config is not a mapping; skip skill binding: %s", config_path)
+        return False
+    skills = config.get("skills")
+    if skills is None:
+        normalized: list[str] = []
+    elif isinstance(skills, list):
+        normalized = [str(name).strip() for name in skills if str(name).strip()]
+    else:
+        logger.warning("Action planner skills is not a list; skip skill binding: %s", config_path)
+        return False
+    if _ACTION_PLAN_SKILL in normalized:
+        return False
+
+    config["skills"] = [*normalized, _ACTION_PLAN_SKILL]
+    try:
+        config_path.write_text(
+            yaml.safe_dump(config, allow_unicode=True, sort_keys=False),
+            encoding="utf-8",
+        )
+    except OSError:
+        logger.warning("Unable to write action planner skill binding: %s", config_path)
+        return False
+    return True
 
 
 def _ensure_one(agent_id: str) -> bool:
@@ -135,6 +180,8 @@ def _ensure_one(agent_id: str) -> bool:
 
     agent_dir = get_paths().agent_dir(agent_id)
     if agent_dir.exists():
+        if agent_id == ACTION_PLAN_AGENT_ID:
+            return _ensure_action_plan_skill(agent_dir)
         if agent_id != POSITION_INTENT_AGENT_ID:
             # Other built-in agents may have been tuned on a deployed machine;
             # preserve the long-standing no-overwrite behavior for them.

offline-backend-20260512/backend/app/gateway/routers/_roundtable_seed_assets/position-action-planner/SOUL.md

@@ -26,23 +26,29 @@
 
 ```json
 {
-  "id": "subtask-001",
-  "title": "简短任务名称",
-  "goal": "任务目标",
-  "basis": ["方案总结章节或岗位交付依据"],
-  "owner_position": "建议责任岗位",
-  "dependencies": ["前置子任务 id"],
-  "deliverable": "可核验交付物",
-  "acceptance_criteria": ["验收条件"],
-  "priority": "P0"
+  "actionName": "行动名称",
+  "actionDescription": "行动描述",
+  "actionType": 0,
+  "publishChannel": 0,
+  "infoFormat": 0,
+  "responsiblePosition": 0,
+  "startTime": "",
+  "endTime": "",
+  "taskId": 0
 }
 ```
 
-`priority` 仅使用 `P0`、`P1`、`P2`。`dependencies` 没有前置时使用空数组。不要输出注释、尾逗号或额外字段来替代这些必填字段。
+`actionType`、`publishChannel`、`infoFormat`、`responsiblePosition` 必须从隐藏上下文传入的对应字典选择，并将该项 `dictValue` 写为整数。`taskId` 必须等于隐藏上下文中前端传入的任务 ID。不要输出注释、尾逗号、旧的 `id/title/goal/basis` 等字段，不能用 0 或空值代替未选择的字典项。
+
+## 行动批量新增
+
+首次生成完整行动清单后：仅当隐藏上下文的 `taskId` 是正整数且四类字典（发布渠道、行动类型、信息形式、责任岗位）均完整时，必须先用 `read_file` 读取 `position-roundtable-action-create` Skill 的 `SKILL.md` 全文，再按其说明调用脚本批量新增行动。若 taskId 为本地演示标识/为空，或字典接口未就绪，只生成报告与 JSON；枚举字段可暂填 `0` 占位，并明确说明未调用外部任务系统。不得逐条调用旧的 `/task/action/add`，也不得自行用 curl 或 requests 替代脚本。
+
+脚本成功时才可以说明行动已入库；脚本失败时如实报告失败原因。相同任务、相同行动清单会由脚本自动幂等跳过。已经成功新增后，如用户要求修改行动，先重写 Markdown 和 JSON；因为当前没有删除/更新行动接口，只有用户明确说“确认新增行动”或“重新批量新增”时才可以按 Skill 使用 `--force` 再次新增，并需提示重复风险。
 
 ## 边界
 
 - 只依据用户消息中提供的任务信息、意图、方案总结和岗位交付。
-- 不调用联网、派活、澄清、展示文件等工具。
+- 不调用联网、派活、澄清、展示文件等工具；仅可为行动批量新增按专属 Skill 使用 `read_file` 与 `bash`。
 - 不删除或修改上游岗位产物。
 - 不在报告中添加“AI 生成”类水印。

offline-backend-20260512/backend/app/gateway/routers/_roundtable_seed_assets/position-action-planner/config.yaml

@@ -1,3 +1,5 @@
 id: position-action-planner
 name: 行动规划智能体
 description: 岗位会商内置行动规划智能体，基于已生效的方案总结与岗位交付，生成可执行的 Markdown 行动规划报告和结构化子任务清单。
+skills:
+  - position-roundtable-action-create

offline-backend-20260512/backend/app/gateway/routers/model_management.py

@@ -378,7 +378,7 @@ async def create_model_configuration(body: ModelUpsertRequest, request: Request)
     return _to_admin_item(created)
 
 
-@router.put("/{model_name}", response_model=ModelAdminItem)
+@router.put("/{model_name:path}", response_model=ModelAdminItem)
 async def update_model_configuration(model_name: str, body: ModelUpsertRequest, request: Request) -> ModelAdminItem:
     await _require_admin(request)
     if body.name != model_name:
@@ -396,6 +396,20 @@ async def update_model_configuration(model_name: str, body: ModelUpsertRequest,
     return _to_admin_item(updated)
 
 
+@router.delete("/{model_name:path}", status_code=204)
+async def delete_model_configuration(model_name: str, request: Request) -> None:
+    """Delete one model configuration and activate the remaining model list."""
+
+    await _require_admin(request)
+    async with _MUTATION_LOCK:
+        path = _resolve_config_path()
+        raw_before, _, models = await asyncio.to_thread(_read_config_data, path)
+        index = next((i for i, item in enumerate(models) if str(item.get("name")) == model_name), None)
+        if index is None:
+            raise HTTPException(status_code=404, detail=f"Model '{model_name}' was not found")
+        await _save_models(request, raw_before, [*models[:index], *models[index + 1 :]])
+
+
 @router.post("/test", response_model=ModelTestResponse)
 async def test_model_connection(body: ModelTestRequest, request: Request) -> ModelTestResponse:
     """Perform one bounded minimal completion without persisting the draft."""

offline-backend-20260512/backend/app/gateway/routers/position_roundtable.py

@@ -156,10 +156,33 @@ class RejectNodeRequest(BaseModel):
     reason: str = Field(default="", max_length=5_000)
 
 
+class ActionPlanDictionaryOption(BaseModel):
+    """One task-system dictionary row, preserving dictValue as the model input."""
+
+    label: str = Field(default="", max_length=256)
+    value: str | int | float = ""
+    id: str | int | None = None
+    dict_type: str = Field(default="", max_length=128)
+    is_default: bool = False
+
+
+class ActionPlanDictionaries(BaseModel):
+    """The four action fields that must be selected from task-system dictionaries."""
+
+    publish_channels: list[ActionPlanDictionaryOption] = Field(default_factory=list)
+    action_types: list[ActionPlanDictionaryOption] = Field(default_factory=list)
+    info_formats: list[ActionPlanDictionaryOption] = Field(default_factory=list)
+    responsible_positions: list[ActionPlanDictionaryOption] = Field(default_factory=list)
+
+
 class PrepareBuiltinRunRequest(BaseModel):
     """Optional follow-up instruction for one persisted built-in agent."""
 
     message: str = Field(default="", max_length=20_000)
+    # 岗位会商会话允许本地演示使用非数字 taskId。真实任务系统新增行动
+    # 时由专属 Skill 再按外部接口契约校验正整数，不能在 prepare 阶段阻断报告生成。
+    task_id: str | int | None = Field(default=None, max_length=128)
+    action_dictionaries: ActionPlanDictionaries | None = None
 
 
 class BuiltinRunPreparationResponse(BaseModel):
@@ -1060,6 +1083,8 @@ async def _build_builtin_prompt(
     session: dict[str, Any],
     nodes: list[dict[str, Any]],
     follow_up: str = "",
+    action_task_id: str | int | None = None,
+    action_dictionaries: ActionPlanDictionaries | None = None,
 ) -> str:
     task = session.get("task_snapshot") if isinstance(session.get("task_snapshot"), dict) else {}
     intent = session.get("intent_snapshot") if isinstance(session.get("intent_snapshot"), dict) else {}
@@ -1103,13 +1128,50 @@ async def _build_builtin_prompt(
     else:
         summary = session.get("summary_snapshot") if isinstance(session.get("summary_snapshot"), dict) else {}
         summary_content = _truncate_text(summary.get("content"), 12_000)
+        dictionary_groups = (
+            ("发布渠道（publishChannel）", action_dictionaries.publish_channels if action_dictionaries else []),
+            ("行动类型（actionType）", action_dictionaries.action_types if action_dictionaries else []),
+            ("信息形式（infoFormat）", action_dictionaries.info_formats if action_dictionaries else []),
+            ("责任岗位（responsiblePosition）", action_dictionaries.responsible_positions if action_dictionaries else []),
+        )
+        dictionaries_ready = bool(action_task_id is not None and all(options for _, options in dictionary_groups))
+        dictionary_lines = [
+            "【前端传入的行动字典（名称 → 必须原样使用的 dictValue）】",
+            f"- 当前 taskId：{action_task_id if action_task_id is not None else '（本地预览）'}",
+        ]
+        for label, options in dictionary_groups:
+            dictionary_lines.append(f"- {label}：")
+            dictionary_lines.extend(
+                f"  - {option.label} → {option.value}"
+                for option in options
+            )
+        dictionary_instruction = (
+            "actionType、publishChannel、infoFormat、responsiblePosition 必须从下方同名字典复制 dictValue 并写成整数；"
+            "taskId 必须原样写为当前 taskId。不要保留 id、title、goal、basis、owner_position、dependencies 等旧字段，"
+            "也不要用 0 或空值代替未选择的字典项。"
+            if dictionaries_ready
+            else "当前四类任务系统字典未获取完整，这是本地预览/接口未就绪状态。仍需生成 9 字段 JSON，"
+            "但四个枚举字段可暂填 0 占位，且不得调用 position-roundtable-action-create Skill 或外部任务系统。"
+        )
+        submit_instruction = (
+            "若当前 taskId 是正整数，首次生成完整行动清单后按行动规划智能体的 SOUL 调用 position-roundtable-action-create Skill 批量新增行动；"
+            "若 taskId 为本地演示标识或为空，只生成报告和 JSON，明确说明未调用任务系统。Skill 返回失败时如实报告，不能伪称已入库。"
+            if dictionaries_ready
+            else "本轮字典不完整，只生成报告和 JSON 预览；不得调用 Skill、不得请求外部任务系统，也不能宣称行动已入库。"
+        )
         instructions = [
             "请基于以下方案总结和岗位会商材料，生成或按用户要求修订《岗位会商行动规划》。",
             "必须使用 write_file 分别写入两个最终交付：`/mnt/user-data/outputs/行动规划报告.md` 与 `/mnt/user-data/outputs/action-plan-subtasks.json`。",
-            "Markdown 报告需给出分阶段推进建议、优先级、风险控制与验收安排；JSON 必须是严格合法数组，每个子任务都包含 id、title、goal、basis、owner_position、dependencies、deliverable、acceptance_criteria、priority。",
+            "Markdown 报告需给出分阶段推进建议、优先级、风险控制与验收安排。"
+            "JSON 必须是严格合法数组；每个对象只能包含 actionName、actionDescription、actionType、"
+            "publishChannel、infoFormat、responsiblePosition、startTime、endTime、taskId 这 9 个字段。",
+            dictionary_instruction,
+            submit_instruction,
             "",
             "【已生效方案总结】",
             summary_content or "（方案总结正文未写入快照，请依据下方有效岗位交付重新归纳。）",
+            "",
+            *dictionary_lines,
         ]
     if follow_up.strip():
         instructions.extend(["", "【用户本次补充/修改要求】", follow_up.strip()])
@@ -1549,6 +1611,8 @@ async def _prepare_builtin_run(
     *,
     kind: str,
     follow_up: str = "",
+    action_task_id: str | int | None = None,
+    action_dictionaries: ActionPlanDictionaries | None = None,
 ) -> BuiltinRunPreparationResponse:
     store, user_id, session = await _require_writable_session(request, session_id)
     nodes = await store.list_nodes(session_id, user_id)
@@ -1582,6 +1646,8 @@ async def _prepare_builtin_run(
             session=session,
             nodes=nodes,
             follow_up=follow_up,
+            action_task_id=action_task_id,
+            action_dictionaries=action_dictionaries,
         ),
         source_revisions=_source_revisions(nodes),
     )
@@ -1689,14 +1755,28 @@ async def complete_summary(
 async def prepare_action_plan(
     request: Request, session_id: str, body: PrepareBuiltinRunRequest
 ) -> BuiltinRunPreparationResponse:
-    return await _prepare_builtin_run(request, session_id, kind="action_plan", follow_up=body.message)
+    return await _prepare_builtin_run(
+        request,
+        session_id,
+        kind="action_plan",
+        follow_up=body.message,
+        action_task_id=body.task_id,
+        action_dictionaries=body.action_dictionaries,
+    )
 
 
 @router.post("/sessions/{session_id}/action-plan/ask", response_model=BuiltinRunPreparationResponse)
 async def ask_action_plan(
     request: Request, session_id: str, body: PrepareBuiltinRunRequest
 ) -> BuiltinRunPreparationResponse:
-    return await _prepare_builtin_run(request, session_id, kind="action_plan", follow_up=body.message)
+    return await _prepare_builtin_run(
+        request,
+        session_id,
+        kind="action_plan",
+        follow_up=body.message,
+        action_task_id=body.task_id,
+        action_dictionaries=body.action_dictionaries,
+    )
 
 
 @router.post("/sessions/{session_id}/action-plan/complete", response_model=SessionDetailResponse)

offline-backend-20260512/backend/config.yaml

@@ -33,32 +33,64 @@ concurrency:
     fail_open: true
 
 models:
-  - name: deepseek-chat
-    display_name: DeepSeek Chat
-    use: langchain_openai:ChatOpenAI
-    model: deepseek-chat
-    api_key: $DEEPSEEK_CHAT_API_KEY
-    base_url: https://api.deepseek.com
-    request_timeout: 600.0
-    max_retries: 2
-    max_tokens: 4096
-    temperature: 1.0
-    supports_vision: false
-    supports_thinking: true
-
-  - name: zai-org/GLM-5-FP8
-    display_name: zai-org/GLM-5-FP8
-    use: langchain_openai:ChatOpenAI
-    model: zai-org/GLM-5-FP8
-    api_key: $GLM5_FP8_API_KEY
-    base_url: https://api.us-west-2.modal.direct/v1
-    request_timeout: 600.0
-    max_retries: 2
-    max_tokens: 4096
-    temperature: 1.0
-    supports_vision: true
-    supports_thinking: true
-
+- name: deepseek-chat
+  display_name: DeepSeek Chat
+  use: langchain_openai:ChatOpenAI
+  model: deepseek-chat
+  api_key: $DEEPSEEK_CHAT_API_KEY
+  base_url: https://api.deepseek.com
+  request_timeout: 600.0
+  max_retries: 2
+  max_tokens: 4096
+  temperature: 1.0
+  supports_vision: false
+  supports_thinking: true
+- name: zai-org/GLM-5-FP8
+  display_name: zai-org/GLM-5-FP8
+  use: langchain_openai:ChatOpenAI
+  model: zai-org/GLM-5-FP8
+  api_key: $GLM5_FP8_API_KEY
+  base_url: https://api.us-west-2.modal.direct/v2
+  request_timeout: 600.0
+  max_retries: 2
+  max_tokens: 4096
+  temperature: 1.0
+  supports_vision: true
+  supports_thinking: true
+  supports_reasoning_effort: false
+- name: deepseek-ai/DeepSeek-V4-Flash
+  display_name: deepseek-ai/DeepSeek-V4-Flash
+  use: langchain_openai:ChatOpenAI
+  model: deepseek-ai/DeepSeek-V4-Flash
+  api_key: $SILICONFLOW_API_KEY
+  base_url: https://api.siliconflow.cn/v1/
+  max_tokens: 4096
+  temperature: 1.0
+  supports_vision: true
+  supports_thinking: true
+  when_thinking_disabled:
+    extra_body:
+      enable_thinking: false
+- name: inclusionAI/Ling-flash-2.0
+  display_name: inclusionAI/Ling-flash-2.0
+  use: langchain_openai:ChatOpenAI
+  model: inclusionAI/Ling-flash-2.0
+  api_key: $SILICONFLOW_API_KEY
+  base_url: https://api.siliconflow.cn/v1/
+  max_tokens: 4096
+  temperature: 1.0
+  supports_vision: true
+  supports_thinking: true
+- name: deepseek-ai/DeepSeek-V4-Pro
+  display_name: deepseek-ai/DeepSeek-V4-Pro
+  use: langchain_openai:ChatOpenAI
+  model: deepseek-ai/DeepSeek-V4-Pro
+  api_key: $SILICONFLOW_API_KEY
+  base_url: https://api.siliconflow.cn/v1/
+  max_tokens: 4096
+  temperature: 1.0
+  supports_vision: true
+  supports_thinking: true
   # - name: deepseek-v4-flash
   #   display_name: DeepSeek V4 Flash
   #   use: langchain_openai:ChatOpenAI
@@ -71,7 +103,6 @@ models:
   #   temperature: 1.0
   #   supports_vision: false
   #   supports_thinking: true
-
   # - name: deepseek-v4-pro
   #   display_name: DeepSeek V4 Pro
   #   use: langchain_openai:ChatOpenAI
@@ -136,52 +167,9 @@ models:
   #   temperature: 1.0
   #   supports_vision: true
   #   supports_thinking: true
-  - name: deepseek-ai/DeepSeek-V4-Flash
-    display_name: deepseek-ai/DeepSeek-V4-Flash
-    use: langchain_openai:ChatOpenAI
-    model: deepseek-ai/DeepSeek-V4-Flash
-    api_key: $SILICONFLOW_API_KEY
-    base_url: https://api.siliconflow.cn/v1/
-    max_tokens: 4096
-    temperature: 1.0
-    supports_vision: true
-    supports_thinking: true
     # SiliconFlow 混合推理模型关思考用「请求体顶层 enable_thinking: false」,
     # 不认 chat_template_kwargs / thinking.type 那两种嵌套形状。声明这个后,
     # 网页端「关闭思考」对本模型才生效(开放接口另由 force_disable_thinking 兜底)。
-    when_thinking_disabled:
-      extra_body:
-        enable_thinking: false
-  - name: Pro/MiniMaxAI/MiniMax-M2.5
-    display_name: Pro/MiniMaxAI/MiniMax-M2.5
-    use: langchain_openai:ChatOpenAI
-    model: Pro/MiniMaxAI/MiniMax-M2.5
-    api_key: $SILICONFLOW_API_KEY
-    base_url: https://api.siliconflow.cn/v1/
-    max_tokens: 4096
-    temperature: 1.0
-    supports_vision: true
-    supports_thinking: true
-  - name: inclusionAI/Ling-flash-2.0
-    display_name: inclusionAI/Ling-flash-2.0
-    use: langchain_openai:ChatOpenAI
-    model: inclusionAI/Ling-flash-2.0
-    api_key: $SILICONFLOW_API_KEY
-    base_url: https://api.siliconflow.cn/v1/
-    max_tokens: 4096
-    temperature: 1.0
-    supports_vision: true
-    supports_thinking: true
-  - name: deepseek-ai/DeepSeek-V4-Pro
-    display_name: deepseek-ai/DeepSeek-V4-Pro
-    use: langchain_openai:ChatOpenAI
-    model: deepseek-ai/DeepSeek-V4-Pro
-    api_key: $SILICONFLOW_API_KEY
-    base_url: https://api.siliconflow.cn/v1/
-    max_tokens: 4096
-    temperature: 1.0
-    supports_vision: true
-    supports_thinking: true
 # 识图(图片识别)配置。
 # - model_name:指定一个 models[] 中的模型名,作为“默认识图大模型”。view_image 工具会把
 #   图片交给该模型识别,并把识别出的文字结果返回给主对话模型 —— 这样即使主对话模型不支持

offline-backend-20260512/backend/tests/test_model_management.py

@@ -6,6 +6,7 @@ from types import SimpleNamespace
 
 import pytest
 import yaml
+from starlette.routing import Match
 
 from app.gateway.routers import model_management as router
 
@@ -53,6 +54,64 @@ def test_connection_error_redaction_hides_literal_and_resolved_keys() -> None:
     assert router._redact_text(message, ["raw-secret", "resolved-secret"]) == "provider rejected *** and ***"
 
 
+def test_model_mutation_routes_accept_names_with_slashes() -> None:
+    for method in ("PUT", "DELETE"):
+        route = next(
+            item
+            for item in router.router.routes
+            if getattr(item, "methods", set()) == {method} and getattr(item, "path", "") == "/api/admin/models/{model_name:path}"
+        )
+        match, child_scope = route.matches(
+            {
+                "type": "http",
+                "method": method,
+                "path": "/api/admin/models/zai-org/GLM-5-FP8",
+            }
+        )
+        assert match is Match.FULL
+        assert child_scope["path_params"] == {"model_name": "zai-org/GLM-5-FP8"}
+
+
+@pytest.mark.asyncio
+async def test_delete_model_configuration_removes_matching_model_and_activates_config(
+    tmp_path,
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    config_path = tmp_path / "config.yaml"
+    config_path.write_text(
+        """models:
+  - name: zai-org/GLM-5-FP8
+    use: langchain_openai:ChatOpenAI
+    model: GLM-5-FP8
+  - name: keep-me
+    use: langchain_openai:ChatOpenAI
+    model: keep-me
+""",
+        encoding="utf-8",
+    )
+    saved: dict[str, object] = {}
+
+    async def save_models(_request, raw_before: str, models: list[dict[str, object]]) -> list[dict[str, object]]:
+        saved["raw_before"] = raw_before
+        saved["models"] = models
+        return models
+
+    monkeypatch.setattr(router, "_resolve_config_path", lambda: config_path)
+    monkeypatch.setattr(router, "_save_models", save_models)
+    request = SimpleNamespace(state=SimpleNamespace(user=SimpleNamespace(system_role="admin")))
+
+    await router.delete_model_configuration("zai-org/GLM-5-FP8", request)
+
+    assert "zai-org/GLM-5-FP8" in str(saved["raw_before"])
+    assert saved["models"] == [
+        {
+            "name": "keep-me",
+            "use": "langchain_openai:ChatOpenAI",
+            "model": "keep-me",
+        }
+    ]
+
+
 @pytest.mark.asyncio
 async def test_connection_test_uses_one_minimal_prompt_without_writing_config(
     tmp_path,

offline-backend-20260512/backend/tests/test_position_roundtable_sessions.py

@@ -3,6 +3,9 @@
 from __future__ import annotations
 
 import asyncio
+import importlib.util
+import json
+import zipfile
 from types import SimpleNamespace
 from typing import Any
 
@@ -65,6 +68,120 @@ def test_position_intent_agent_is_a_seeded_functional_agent():
     assert POSITION_INTENT_AGENT_ID in set(required_agent_ids())
 
 
+def test_action_plan_seed_binds_the_batch_create_skill_and_nine_field_contract():
+    """New deployments must not fall back to the retired subtask JSON contract."""
+    action_assets = roundtable_seed._ASSETS_DIR / roundtable_seed.ACTION_PLAN_AGENT_ID
+    soul = (action_assets / "SOUL.md").read_text(encoding="utf-8")
+    config = (action_assets / "config.yaml").read_text(encoding="utf-8")
+
+    assert "position-roundtable-action-create" in config
+    for field in (
+        "actionName",
+        "actionDescription",
+        "actionType",
+        "publishChannel",
+        "infoFormat",
+        "responsiblePosition",
+        "startTime",
+        "endTime",
+        "taskId",
+    ):
+        assert field in soul
+    assert "/task/action/add" in soul
+    assert "批量新增" in soul
+
+
+@pytest.mark.asyncio
+async def test_action_plan_prompt_receives_frontend_task_id_and_dictionary_values():
+    """The action planner must see exact dictValue choices, not frontend labels only."""
+    dictionaries = position_roundtable_router.ActionPlanDictionaries(
+        publish_channels=[{"label": "微信公众号", "value": "11"}],
+        action_types=[{"label": "宣传", "value": "21"}],
+        info_formats=[{"label": "图文", "value": "31"}],
+        responsible_positions=[{"label": "规划岗", "value": "41"}],
+    )
+    prompt = await position_roundtable_router._build_builtin_prompt(
+        kind="action_plan",
+        session={
+            "task_snapshot": {"title": "任务 A", "description": "生成行动"},
+            "summary_snapshot": {"status": "done", "content": "方案总结正文"},
+        },
+        nodes=[],
+        action_task_id=1001,
+        action_dictionaries=dictionaries,
+    )
+
+    assert "当前 taskId：1001" in prompt
+    assert "微信公众号 → 11" in prompt
+    assert "宣传 → 21" in prompt
+    assert "图文 → 31" in prompt
+    assert "规划岗 → 41" in prompt
+    assert "id、title、goal" in prompt
+
+
+@pytest.mark.asyncio
+async def test_action_plan_prompt_degrades_when_task_dictionaries_are_unavailable():
+    """A 404 from the task-system dictionaries must not block local planning."""
+    prompt = await position_roundtable_router._build_builtin_prompt(
+        kind="action_plan",
+        session={
+            "task_snapshot": {"title": "本地演示任务"},
+            "summary_snapshot": {"status": "done", "content": "方案总结正文"},
+        },
+        nodes=[],
+        action_task_id="abc123",
+        action_dictionaries=position_roundtable_router.ActionPlanDictionaries(),
+    )
+
+    assert "字典未获取完整" in prompt
+    assert "不得调用 Skill" in prompt
+    assert "0 占位" in prompt
+
+
+def test_action_plan_prepare_keeps_a_local_mock_task_id_without_numeric_coercion():
+    """A local demo id must not stop the action-plan conversation at prepare time."""
+    body = position_roundtable_router.PrepareBuiltinRunRequest(task_id="abc123")
+
+    assert body.task_id == "abc123"
+
+
+def test_action_batch_skill_accepts_only_the_nine_field_array(tmp_path):
+    """The batch Skill must reject old task-subdivision fields before any HTTP call."""
+    archive_path = roundtable_seed._ASSETS_DIR.parents[3] / "skill-packages" / "position-roundtable-action-create.skill"
+    with zipfile.ZipFile(archive_path) as archive:
+        archive.extractall(tmp_path / "skill-package")
+    script_path = tmp_path / "skill-package" / "position-roundtable-action-create" / "scripts" / "batch_add_actions.py"
+    spec = importlib.util.spec_from_file_location("position_action_batch_skill", script_path)
+    assert spec and spec.loader
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+
+    valid = [{
+        "actionName": "发布内容",
+        "actionDescription": "向目标渠道发布审核通过的信息。",
+        "actionType": "1",
+        "publishChannel": "2",
+        "infoFormat": "3",
+        "responsiblePosition": "4",
+        "startTime": "2026-08-12T09:00:00+08:00",
+        "endTime": "2026-08-12T18:00:00+08:00",
+        "taskId": 1001,
+    }]
+    source = tmp_path / "action-plan-subtasks.json"
+    source.write_text(json.dumps(valid, ensure_ascii=False), encoding="utf-8")
+    assert module.read_actions(source, 1001) == [{
+        **valid[0],
+        "actionType": 1,
+        "publishChannel": 2,
+        "infoFormat": 3,
+        "responsiblePosition": 4,
+    }]
+
+    source.write_text(json.dumps([{**valid[0], "id": "legacy"}], ensure_ascii=False), encoding="utf-8")
+    with pytest.raises(module.ActionInputError, match="多余字段"):
+        module.read_actions(source, 1001)
+
+
 def test_position_intent_prompt_keeps_the_original_step_one_guardrails():
     """Dedicated schema must not regress into solutioning or gatekeeping."""
     prompt = (
@@ -165,6 +282,29 @@ def test_position_intent_seed_repairs_its_contract_without_touching_other_agents
     assert generic_soul.read_text(encoding="utf-8") == "deployed generic tune"
 
 
+def test_existing_action_planner_only_merges_the_owned_skill(tmp_path, monkeypatch):
+    """A code upgrade may add the Skill without overwriting a user-tuned SOUL."""
+    agents_dir = tmp_path / "agents"
+    monkeypatch.setattr(
+        roundtable_seed,
+        "get_paths",
+        lambda: SimpleNamespace(agent_dir=lambda agent_id: agents_dir / agent_id),
+    )
+    action_dir = agents_dir / roundtable_seed.ACTION_PLAN_AGENT_ID
+    action_dir.mkdir(parents=True)
+    (action_dir / "SOUL.md").write_text("deployed action-plan tune", encoding="utf-8")
+    (action_dir / "config.yaml").write_text(
+        "id: position-action-planner\nskills:\n  - existing-skill\n",
+        encoding="utf-8",
+    )
+
+    assert roundtable_seed._ensure_one(roundtable_seed.ACTION_PLAN_AGENT_ID) is True
+    config = (action_dir / "config.yaml").read_text(encoding="utf-8")
+    assert "existing-skill" in config
+    assert "position-roundtable-action-create" in config
+    assert (action_dir / "SOUL.md").read_text(encoding="utf-8") == "deployed action-plan tune"
+
+
 @pytest.mark.asyncio
 async def test_intent_init_creates_thread_directly_without_loopback(monkeypatch):
     """Step 1 initialization must not depend on the deployed Gateway port."""