From 08f9cd552d9379ab4c14815bfa174d4df14fb1b0 Mon Sep 17 00:00:00 2001
From: Jeffrey Chu <jeffreychu888hk@gmail.com>
Date: Wed, 22 Oct 2025 19:11:18 +0800
Subject: [PATCH] bug fix for xai support

---
 .gitignore                           |  1 +
 tradingagents/graph/trading_graph.py | 41 ----------------------------
 2 files changed, 1 insertion(+), 41 deletions(-)

diff --git a/.gitignore b/.gitignore
index 3369bad9..b33ddf4e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -9,3 +9,4 @@ eval_results/
 eval_data/
 *.egg-info/
 .env
+.history
\ No newline at end of file
diff --git a/tradingagents/graph/trading_graph.py b/tradingagents/graph/trading_graph.py
index e472b143..3de9ee89 100644
--- a/tradingagents/graph/trading_graph.py
+++ b/tradingagents/graph/trading_graph.py
@@ -62,47 +62,6 @@ class TradingAgentsGraph:
         """
         self.debug = debug
         self.config = config or DEFAULT_CONFIG
-
-        # get the language
-        self.output_language = self.config.get("output_language", "en")
-        self.language_instruction = self.config.get("language_system_prompts", {}).get(
-            self.output_language, ""
-        )
-
-        self._setup_agents()
-        self._setup_graph()
-
-        def _setup_agents(self):
-            """初始化所有 agents，並注入語言指示"""
-            # 為每個 agent 加入語言指示
-            if self.language_instruction:
-                self._inject_language_to_agents()
-        
-        def _inject_language_to_agents(self):
-            """將語言指示注入所有 agents"""
-            # 這個方法會在每個 agent 的 system message 前加入語言指示
-            self.language_system_message = SystemMessage(content=self.language_instruction)
-        
-        def _create_agent_with_language(self, agent_name, agent_prompt, llm):
-            """創建帶有語言指示的 agent"""
-            from langchain.agents import AgentExecutor, create_openai_functions_agent
-            from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
-            
-            # 構建包含語言指示的 prompt
-            if self.language_instruction:
-                system_prompt = f"{agent_prompt}{self.language_instruction}"
-            else:
-                system_prompt = agent_prompt
-            
-            prompt = ChatPromptTemplate.from_messages([
-                ("system", system_prompt),
-                MessagesPlaceholder(variable_name="chat_history", optional=True),
-                ("human", "{input}"),
-                MessagesPlaceholder(variable_name="agent_scratchpad"),
-            ])
-            
-            agent = create_openai_functions_agent(llm, tools=[], prompt=prompt)
-            return AgentExecutor(agent=agent, tools=[], verbose=self.debug)
     
         # Update the interface's config
         set_config(self.config)