langgraph adapter

langgraph_qwen/prebuilt.py

@@ -0,0 +1,36 @@
+from typing import Any, Dict, Iterable, List, Optional
+
+from .factory import get_qwen_chat_model, bind_qwen_tools
+from .validators import validate_tool_names, ToolValidationError
+
+
+def create_qwen_react_agent(
+    tools: List[Any],
+    *,
+    model: Optional[Any] = None,
+    prefer: str = "custom",
+    tool_choice: Optional[str] = "auto",
+    model_kwargs: Optional[Dict[str, Any]] = None,
+    enforce_tool_name_check: bool = True,
+    **agent_kwargs: Any,
+):
+    """
+    Sugar around langgraph.prebuilt.create_react_agent configured for Qwen.
+
+    - If `model` is None, constructs one via get_qwen_chat_model(prefer=..., **model_kwargs).
+    - Binds tools and applies `tool_choice`.
+    - Returns a LangGraph ReAct agent ready to invoke/stream.
+    """
+
+    from langgraph.prebuilt import create_react_agent as _create
+
+    model_kwargs = model_kwargs or {}
+
+    # Strictly validate tool names before binding, if enabled
+    if enforce_tool_name_check:
+        validate_tool_names(tools, strict=True)
+    if model is None:
+        model = get_qwen_chat_model(prefer=prefer, **model_kwargs)
+
+    model = bind_qwen_tools(model, tools, tool_choice=tool_choice)
+    return _create(model, tools, **agent_kwargs)