feat: organize tools and enable qwen realtime calls

backend/models.py

@@ -10,7 +10,8 @@ from __future__ import annotations
 
 from typing import Literal
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
+from pydantic.alias_generators import to_camel
 
 RuntimeMode = Literal["pipeline", "realtime"]
 VisionPromptMode = Literal["fixed", "runtime", "guided"]
@@ -42,6 +43,17 @@ class RuntimeTool(BaseModel):
     mcp_server: RuntimeMcpServer | None = None
 
 
+class RuntimeToolBinding(BaseModel):
+    """One assistant/stage-specific use of a reusable external tool."""
+
+    model_config = ConfigDict(alias_generator=to_camel, populate_by_name=True)
+
+    tool_id: str
+    argument_bindings: dict = Field(default_factory=dict)
+    template_bindings: dict = Field(default_factory=dict)
+    result_assignments: dict[str, str] = Field(default_factory=dict)
+
+
 class RuntimeModelResource(BaseModel):
     id: str
     name: str = ""
@@ -112,13 +124,12 @@ class AssistantConfig(BaseModel):
     turnConfig: dict = Field(default_factory=dict)
     startup: dict = Field(default_factory=dict)
     analysis_config: dict = Field(default_factory=dict)
+    built_in_tools: dict = Field(default_factory=dict)
 
-    # ``tools`` is the complete runtime pool (conversation + lifecycle actions).
-    # ``llm_tool_ids`` limits which tools are advertised to a Prompt model. None
-    # preserves compatibility for inline/test configs that historically exposed
-    # every item in ``tools``.
+    # ``tools`` is the reusable resource pool. Bindings define per-use inputs
+    # and result mappings; platform built-ins are configured separately.
     tools: list[RuntimeTool] = Field(default_factory=list)
-    llm_tool_ids: list[str] | None = None
+    tool_bindings: list[RuntimeToolBinding] = Field(default_factory=list)
     knowledge_base_id: str | None = None
     knowledge_base_name: str = ""
     knowledge_base_description: str = ""
@@ -168,3 +179,5 @@ class SignalingOffer(BaseModel):
     inline_config: AssistantConfig | None = None
     vision_enabled: bool = False
     dynamic_variables: dict = Field(default_factory=dict)
+    client_tool_names: list[str] = Field(default_factory=list)
+    model_config = ConfigDict(alias_generator=to_camel, populate_by_name=True)