feat(studio): 新增 Studio 工作流编辑/运行页，优化顶部三栏对齐

- 后端：项目/运行 API、上下文服务与数据模型
- 前端：Studio 列表、编辑页（R1/R2 布局）、运行页与节点图
- 编辑页顶部：CSS Grid 统一标签行与控件行对齐，项目按钮独立第三行
- Docker 开发配置与文档脚本

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

backend/models/studio_models.py

@@ -0,0 +1,216 @@
+"""
+Studio workflow editor data models.
+"""
+from __future__ import annotations
+
+from enum import Enum
+from typing import Any, Dict, List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class DisplayParam(BaseModel):
+    key: str
+    label: str
+    type: str = "text"
+    required: bool = True
+    placeholder: str = ""
+
+
+class InputRef(BaseModel):
+    ref: str
+    label: Optional[str] = None
+    optional: bool = False
+
+
+class ScoringDimension(BaseModel):
+    id: str
+    name: str
+    criteria: str = ""
+
+
+class InsertionRagConfig(BaseModel):
+    libraryId: str = ""
+    threshold: float = 0.5
+    maxEntries: int = 3
+
+
+class InsertionConfig(BaseModel):
+    position: int = 1
+    activationType: str = "permanent"
+    key: str = ""
+    keysecondary: str = ""
+    comment: str = ""
+    ragConfig: Optional[InsertionRagConfig] = None
+
+
+class ScoringConfig(BaseModel):
+    enabled: bool = True
+    dimensions: List[ScoringDimension] = Field(default_factory=list)
+    rubric: Optional[str] = None
+
+
+class StudioNode(BaseModel):
+    id: str
+    skillId: str
+    displayName: str
+    enabled: bool = True
+    niche: Optional[str] = None
+    loopUntilSatisfied: bool = False
+    config: Dict[str, Any] = Field(default_factory=dict)
+    displayParams: List[DisplayParam] = Field(default_factory=list)
+    inputs: List[InputRef] = Field(default_factory=list)
+
+
+class PipelineDefinition(BaseModel):
+    workflowGoal: str = ""
+    nodes: List[StudioNode] = Field(default_factory=list)
+
+
+class StudioProjectMeta(BaseModel):
+    id: str
+    name: str
+    description: str = ""
+    templateId: Optional[str] = None
+    characterId: Optional[str] = None
+    worldbookId: Optional[str] = None
+    createdAt: str = ""
+    updatedAt: str = ""
+
+
+class StudioProject(BaseModel):
+    meta: StudioProjectMeta
+    pipeline: PipelineDefinition
+
+
+class ArtifactDef(BaseModel):
+    type: str
+    displayName: str = ""
+
+
+class SkillTemplateDef(BaseModel):
+    skillId: str
+    displayName: str
+    description: str = ""
+    displayParams: List[DisplayParam] = Field(default_factory=list)
+    configWhitelist: List[str] = Field(default_factory=list)
+    artifacts: List[ArtifactDef] = Field(default_factory=list)
+    supportsLoopUntilSatisfied: bool = False
+    supportsInputs: bool = False
+    supportsInsertion: bool = False
+    supportsScoring: bool = False
+
+
+class WorkflowTemplateSummary(BaseModel):
+    id: str
+    name: str
+    description: str = ""
+
+
+class WorkflowVariableDef(BaseModel):
+    ref: str
+    label: str
+    description: str = ""
+
+
+class DynamicVariableSuffix(BaseModel):
+    suffix: str
+    labelPattern: str
+
+
+class WorkflowVariablesResponse(BaseModel):
+    builtIn: List[WorkflowVariableDef] = Field(default_factory=list)
+    dynamic: List[WorkflowVariableDef] = Field(default_factory=list)
+
+
+class SkillTemplatesCatalog(BaseModel):
+    templates: List[SkillTemplateDef] = Field(default_factory=list)
+
+
+class StudioProjectSummary(BaseModel):
+    id: str
+    name: str
+    description: str = ""
+    updatedAt: str = ""
+
+
+class CreateStudioProjectRequest(BaseModel):
+    name: str = "新项目"
+    template_id: str = "builtin.studio.example"
+    project_id: Optional[str] = None
+
+
+class UpdateStudioProjectRequest(BaseModel):
+    name: Optional[str] = Field(None, min_length=1, max_length=120)
+    description: Optional[str] = Field(None, max_length=500)
+
+
+class StudioRunStatus(str, Enum):
+    PENDING = "pending"
+    RUNNING = "running"
+    PAUSED = "paused"
+    COMPLETED = "completed"
+    FAILED = "failed"
+    CANCELLED = "cancelled"
+
+
+class ToolQuestionOption(BaseModel):
+    question: str
+    options: List[str] = Field(default_factory=list)
+
+
+class LastToolResponse(BaseModel):
+    """LLM tool-call payload surfaced to the run UI (R2+)."""
+    questions: List[ToolQuestionOption] = Field(default_factory=list)
+    generatedAt: Optional[str] = None
+
+
+class PromptBlock(BaseModel):
+    """Single assembled context section for LLM prompt (R2 debug / execution)."""
+    id: str
+    label: str
+    content: str
+    source: str = "auto"  # auto | manual | workflow
+
+
+class StudioNodeRunState(BaseModel):
+    nodeId: str
+    displayName: str
+    skillId: str
+    status: str  # pending | active | completed | skipped
+    loopUntilSatisfied: bool = False
+    lastDraft: Optional[Dict[str, Any]] = None
+    lastToolResponse: Optional[LastToolResponse] = None
+
+
+class StudioRun(BaseModel):
+    id: str
+    projectId: str
+    status: StudioRunStatus
+    pipelineSnapshot: PipelineDefinition
+    pipelineVersionNote: str
+    currentNodeId: Optional[str] = None
+    nodeStates: List[StudioNodeRunState] = Field(default_factory=list)
+    workflowVariables: Dict[str, Any] = Field(default_factory=dict)
+    lastPromptBlocks: List[PromptBlock] = Field(default_factory=list)
+    title: str = ""
+    createdAt: str = ""
+    updatedAt: str = ""
+
+
+class AdvanceRunRequest(BaseModel):
+    displayParams: Dict[str, str] = Field(default_factory=dict)
+
+
+class RenameRunRequest(BaseModel):
+    title: str = Field(..., min_length=1, max_length=120)
+
+
+class StudioRunSummary(BaseModel):
+    id: str
+    projectId: str
+    status: StudioRunStatus
+    currentNodeId: Optional[str] = None
+    title: str = ""
+    createdAt: str = ""
+    updatedAt: str = ""