From c0849220ec28016369340dd285693b8ff034e642 Mon Sep 17 00:00:00 2001
From: goulustis <cnimaiv@gmail.com>
Date: Tue, 6 Jan 2026 00:26:07 +0800
Subject: [PATCH] dual proof of concept

---
 lang_agent/graphs/dual_path.py | 109 +++++++++++++++++++++++++++++++++
 1 file changed, 109 insertions(+)
 create mode 100644 lang_agent/graphs/dual_path.py

diff --git a/lang_agent/graphs/dual_path.py b/lang_agent/graphs/dual_path.py
new file mode 100644
index 0000000..ac7a9c0
--- /dev/null
+++ b/lang_agent/graphs/dual_path.py
@@ -0,0 +1,109 @@
+from dataclasses import dataclass, field
+from typing import Type, TypedDict, Literal, Dict, List
+import tyro
+from pydantic import BaseModel, Field
+from loguru import logger
+
+from langchain.chat_models import init_chat_model
+
+from lang_agent.config import LLMKeyConfig
+from lang_agent.base import GraphBase
+from lang_agent.components.tool_manager import ToolManager, ToolManagerConfig
+from lang_agent.graphs.graph_states import State
+
+from langchain.agents import create_agent
+from langchain.messages import SystemMessage, HumanMessage
+from langchain.tools import tool
+
+from langgraph.checkpoint.memory import MemorySaver
+from langgraph.graph import StateGraph, START, END
+
+
+SYS_PROMPT = "you are a helpful helper who will have a fun conversation with the user"
+
+TOOL_SYS_PROMPT = "base on the user's speech, identify their emotions and change the light color to its appropriate colors. If it sounds neutral, do nothing"
+
+
+@dataclass
+class DualConfig(LLMKeyConfig):
+    _target: Type = field(default_factory=lambda:Dual)
+
+    tool_manager_config: ToolManagerConfig = field(default_factory=ToolManagerConfig)
+
+from langchain.tools import tool
+
+@tool
+def turn_lights(col:Literal["red", "green", "yellow", "blue"]):
+    """
+    Turn on the color of the lights
+    """
+    print(f"TURNED ON LIGHT: {col}  !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!")
+
+
+class Dual(GraphBase):
+    def __init__(self, config:DualConfig):
+        self.config = config
+
+        self._build_modules()
+        self.workflow = self._build_graph()
+        self.streamable_tags = ["dual_chat_llm"]
+
+    def _build_modules(self):
+        self.chat_llm = init_chat_model(model=self.config.llm_name,
+                                        model_provider=self.config.llm_provider,
+                                        api_key=self.config.api_key,
+                                        base_url=self.config.base_url,
+                                        temperature=0,
+                                        tags=["dual_chat_llm"])
+        
+        self.tool_llm = init_chat_model(model='qwen-flash',
+                                        model_provider='openai',
+                                        api_key=self.config.api_key,
+                                        base_url=self.config.base_url,
+                                        temperature=0,
+                                        tags=["dual_tool_llm"])
+        
+        self.memory = MemorySaver()
+        self.tool_manager: ToolManager = self.config.tool_manager_config.setup()
+        self.chat_agent = create_agent(self.chat_llm, [], checkpointer=self.memory)
+        # self.tool_agent = create_agent(self.tool_llm, self.tool_manager.get_langchain_tools())
+        self.tool_agent = create_agent(self.tool_llm, [turn_lights])
+
+        self.streamable_tags = [["dual_chat_llm"]]
+    
+
+    def _chat_call(self, state:State):
+        return self._agent_call_template(SYS_PROMPT, self.chat_agent, state)
+    
+    def _tool_call(self, state:State):
+        self._agent_call_template(TOOL_SYS_PROMPT, self.tool_agent, state)
+        return {}
+
+    def _join(self, state:State):
+        return {}
+    
+    def _build_graph(self):
+        builder = StateGraph(State)
+
+        builder.add_node("chat_call", self._chat_call)
+        builder.add_node("tool_call", self._tool_call)
+        builder.add_node("join", self._join)
+
+
+        builder.add_edge(START, "chat_call")
+        builder.add_edge(START, "tool_call")
+        builder.add_edge("chat_call", "join")
+        builder.add_edge("tool_call", "join")
+        builder.add_edge("join", END)
+
+        return builder.compile()
+
+
+if __name__ == "__main__":
+    dual:Dual = DualConfig().setup()
+    nargs = {"messages": [SystemMessage("you are a helpful bot named jarvis"),
+                          HumanMessage("I feel very very sad")]
+    }, {"configurable": {"thread_id": "3"}}
+
+    out = dual.invoke(*nargs)
+    print(out)
\ No newline at end of file