From 60968e3be6097458041a45ab86efae8c16bf3191 Mon Sep 17 00:00:00 2001
From: goulustis <cnimaiv@gmail.com>
Date: Fri, 21 Nov 2025 21:38:02 +0800
Subject: [PATCH] working chatty tool node

---
 lang_agent/graphs/tool_nodes.py | 52 ++++++++++++++++++---------------
 1 file changed, 28 insertions(+), 24 deletions(-)

diff --git a/lang_agent/graphs/tool_nodes.py b/lang_agent/graphs/tool_nodes.py
index 51dd04e..1daab72 100644
--- a/lang_agent/graphs/tool_nodes.py
+++ b/lang_agent/graphs/tool_nodes.py
@@ -8,6 +8,7 @@ from lang_agent.config import InstantiateConfig, KeyConfig
 from lang_agent.tool_manager import ToolManager
 from lang_agent.base import GraphBase
 from lang_agent.graphs.graph_states import State, ChattyToolState
+from lang_agent.utils import make_llm
 
 from langchain_core.language_models import BaseChatModel
 from langchain_core.messages import SystemMessage, HumanMessage, AIMessage
@@ -28,16 +29,16 @@ class ToolNodeConfig(InstantiateConfig):
 class ToolNode(GraphBase):
     def __init__(self, config: ToolNodeConfig, 
                        tool_manager:ToolManager,
-                       llm:BaseChatModel,
                        memory:MemorySaver):
         self.config = config
         self.tool_manager = tool_manager
-        self.llm = llm
         self.mem = memory
 
         self.populate_modules()
 
     def populate_modules(self):
+        self.llm = make_llm(tags=["tool_llm"])
+
         self.tool_agent = create_agent(self.llm, self.tool_manager.get_list_langchain_tools(), checkpointer=self.mem)
         with open(self.config.tool_prompt_f, "r") as f:
             self.sys_prompt = f.read()
@@ -73,11 +74,9 @@ class ChattyToolNodeConfig(KeyConfig, ToolNodeConfig):
 class ChattyToolNode(GraphBase):
     def __init__(self, config:ChattyToolNodeConfig, 
                        tool_manager:ToolManager,
-                       llm:BaseChatModel,
                        memory:MemorySaver):
         self.config = config
         self.tool_manager = tool_manager
-        self.tool_llm = llm
         self.mem = memory
         self.tool_done = False
 
@@ -90,7 +89,15 @@ class ChattyToolNode(GraphBase):
                                           model_provider=self.config.llm_provider,
                                           api_key=self.config.api_key,
                                           base_url=self.config.base_url,
-                                          temperature=0)
+                                          temperature=0,
+                                          tags=["chatty_llm"])
+        self.tool_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=["tool_llm"])
+        self.reit_llm = make_llm(model="qwen-flash", tags=["reit_llm"])
         
         self.chatty_agent = create_agent(self.chatty_llm, [], checkpointer=self.mem)
         self.tool_agent = create_agent(self.tool_llm, self.tool_manager.get_list_langchain_tools(), checkpointer=self.mem)
@@ -141,11 +148,15 @@ class ChattyToolNode(GraphBase):
 
 
     def _handoff_node(self, state:ChattyToolState):
-        # NOTE: this exist to have both results
-        # chat_msgs = state.get("chatty_message")
-        # tool_msgs = state.get("tool_message")
-
-        # return {"messages": chat_msgs + tool_msgs}
+        # NOTE: This exists just to stream the thing correctly
+        tool_msgs = state.get("tool_messages")["messages"]
+        inp = [
+                SystemMessage(
+                    "do nothing and repeat the last message"
+                ),
+                tool_msgs[-1].content
+              ]
+        self.reit_llm.invoke(inp)
         return {}
 
 
@@ -174,36 +185,29 @@ tool_node_union = tyro.extras.subcommand_type_from_defaults(tool_node_dict, pref
 AnnotatedToolNode = tyro.conf.OmitSubcommandPrefixes[tyro.conf.SuppressFixed[tool_node_union]]
 
 if __name__ == "__main__":
-    from langchain.chat_models import init_chat_model
     from langchain_core.messages.base import BaseMessageChunk
     from langchain_core.messages import BaseMessage
     
     from lang_agent.tool_manager import ToolManagerConfig
     
     from dotenv import load_dotenv
-    import os
     load_dotenv()
 
-    llm = init_chat_model(model="qwen-flash",
-                            model_provider="openai",
-                            api_key=os.environ.get("ALI_API_KEY"),
-                            base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
-                            temperature=0)
     mem = MemorySaver()
     tool_manager = ToolManagerConfig().setup()
     chatty_node:ChattyToolNode = ChattyToolNodeConfig().setup(tool_manager=tool_manager,
-                                               llm=llm,
                                                memory=mem)
     
     query = "use calculator to calculate 33*42"
     input = {"inp" : ({"messages":[SystemMessage("you are a kind helper"), HumanMessage(query)]}, 
                       {"configurable": {"thread_id": '3'}})}
     inp = input
-    
     graph = chatty_node.workflow
 
-    # for chunk, metadata in graph.stream(inp, stream_mode="messages"):
-    #     if isinstance(chunk, (BaseMessageChunk, BaseMessage)) and getattr(chunk, "content", None):
-    #         print(chunk.content, end="", flush=True)
-    out = graph.invoke(inp)
-    assert 0
+    for chunk, metadata in graph.stream(inp, stream_mode="messages"):
+        tags = metadata.get("tags")
+        if not (tags in [["chatty_llm"], ["reit_llm"]]):
+            continue
+
+        if isinstance(chunk, (BaseMessageChunk, BaseMessage)) and getattr(chunk, "content", None):
+            print(chunk.content, end="", flush=True)