Add dynamic variable support to Assistant model and related components

- Introduce dynamic variable definitions in AssistantConfig and Assistant models, allowing for flexible prompt customization.
- Implement validation for dynamic variable names and types in the schema.
- Update backend services and routes to handle dynamic variables in assistant configurations and runtime processing.
- Enhance frontend components to support dynamic variable definitions, including a new editor for managing variables.
- Add tests to ensure proper functionality and validation of dynamic variables in various scenarios.

backend/schemas.py

@@ -8,6 +8,7 @@ JSON 用 camelCase(modelId/interfaceType/apiUrl/apiKey),Python 内部用 snake_c
 from __future__ import annotations
 
 from datetime import datetime
+import re
 from typing import Annotated, Any, Literal, Union
 
 from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
@@ -22,6 +23,7 @@ ToolType = Literal["end_call", "http"]
 ToolStatus = Literal["active", "archived", "draft"]
 ToolParameterType = Literal["string", "number", "integer", "boolean", "object", "array"]
 ToolParameterLocation = Literal["path", "query", "body", "header"]
+DynamicVariableType = Literal["string", "number", "boolean"]
 
 # 外部应用类型:其 config.apiKey 是该助手私有密钥,读时打码 / 写时哨兵
 EXTERNAL_TYPES = {"dify", "fastgpt", "opencode"}
@@ -106,12 +108,28 @@ class AssistantUpsert(CamelModel):
 
     # 瘦类型专属(真列);按 type 取用,无关字段写入时清零
     prompt: str = ""
+    dynamic_variable_definitions: dict[str, "DynamicVariableDefinition"] = Field(
+        default_factory=dict
+    )
     api_url: str = ""
     api_key: str = ""  # 写时:占位符/空 → 保留旧(哨兵)
     app_id: str = ""
     # workflow 专属:图
     graph: dict[str, Any] = Field(default_factory=dict)
 
+    @field_validator("dynamic_variable_definitions")
+    @classmethod
+    def validate_dynamic_variable_names(cls, value):
+        if len(value) > 50:
+            raise ValueError("动态变量最多允许 50 个")
+        for name in value:
+            if (
+                not re.fullmatch(r"[A-Za-z][A-Za-z0-9_]{0,63}", name)
+                or name.startswith(("system__", "secret__"))
+            ):
+                raise ValueError(f"动态变量名称不合法: {name}")
+        return value
+
     @model_validator(mode="after")
     def _strip_irrelevant_fields(self):
         allowed = ALLOWED_FIELDS[self.type]
@@ -122,6 +140,7 @@ class AssistantUpsert(CamelModel):
             self.graph = {}
         if self.type != "prompt":
             self.tool_ids = []
+            self.dynamic_variable_definitions = {}
         # 外部托管大脑只能 cascade,拦住不兼容的 realtime
         if self.runtime_mode == "realtime" and self.type not in REALTIME_CAPABLE_TYPES:
             raise ValueError(f"类型 {self.type} 不支持 realtime 运行模式")
@@ -133,6 +152,29 @@ class AssistantOut(AssistantUpsert):
     updated_at: str | None = None
 
 
+class DynamicVariableDefinition(CamelModel):
+    type: DynamicVariableType = "string"
+    required: bool = False
+    default: str | int | float | bool | None = None
+
+    @model_validator(mode="after")
+    def validate_default_type(self):
+        if self.default is None:
+            return self
+        valid = (
+            (self.type == "string" and isinstance(self.default, str))
+            or (
+                self.type == "number"
+                and isinstance(self.default, (int, float))
+                and not isinstance(self.default, bool)
+            )
+            or (self.type == "boolean" and isinstance(self.default, bool))
+        )
+        if not valid:
+            raise ValueError(f"默认值类型应为 {self.type}")
+        return self
+
+
 # ---------- 可复用工具 ----------
 class ToolParameter(CamelModel):
     name: str
@@ -155,6 +197,7 @@ class HttpToolConfig(CamelModel):
     headers: dict[str, str] = Field(default_factory=dict)
     parameters: list[ToolParameter] = Field(default_factory=list)
     body: dict[str, Any] = Field(default_factory=dict)
+    dynamic_variable_assignments: dict[str, str] = Field(default_factory=dict)
 
     @field_validator("url")
     @classmethod