feat: update agent logic and main entry

agentmain.py

@@ -0,0 +1,91 @@
+import os, sys, threading, queue
+import time, json, re
+if sys.stdout is None: sys.stdout = open(os.devnull, "w")
+if sys.stderr is None: sys.stderr = open(os.devnull, "w")
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+
+from sidercall import SiderLLMSession, LLMSession, ToolClient
+from agent_loop import agent_runner_loop, StepOutcome, BaseHandler
+from ga import GenericAgentHandler, smart_format, get_global_memory
+
+with open('assets/tools_schema.json', 'r', encoding='utf-8') as f:
+    TS = f.read()
+    TOOLS_SCHEMA = json.loads(TS if os.name == 'nt' else TS.replace('powershell', 'bash'))
+
+def get_system_prompt():
+    if not os.path.exists('memory'): os.makedirs('memory')
+    if not os.path.exists('memory/global_mem.txt'):
+        with open('memory/global_mem.txt', 'w', encoding='utf-8') as f: f.write('')
+    if not os.path.exists('memory/global_mem_insight.txt'):
+        content = "## Global Memory Index (Logic)\n\n[CONSTITUTION]\n1. 改我自身源码前必须先问用户\n\n[STORES]\n- global_mem: ../memory/global_mem.txt\n\n[ACCESS]\n- global_mem: 按 TOPIC 检索索引\n\n[TOPICS.GLOBAL_MEM]"
+        if os.path.exists('assets/global_mem_insight_template.txt'):
+            with open('assets/global_mem_insight_template.txt', 'r', encoding='utf-8') as f: content = f.read()
+        with open('memory/global_mem_insight.txt', 'w', encoding='utf-8') as f: f.write(content)
+    with open('assets/sys_prompt.txt', 'r', encoding='utf-8') as f: prompt = f.read()
+    prompt += get_global_memory()
+    return prompt
+
+class GeneraticAgent:
+    def __init__(self):
+        if not os.path.exists('temp'): os.makedirs('temp')
+        from sidercall import sider_cookie, oai_apikey, oai_apibase
+        llm_sessions = []
+        if sider_cookie: llm_sessions += [SiderLLMSession(default_model=x) for x in \
+                                    ["gemini-3.0-flash", "claude-haiku-4.5", "gpt-5-mini"]]
+        if oai_apikey: llm_sessions += [LLMSession(api_key=oai_apikey, api_base=oai_apibase)]
+        if len(llm_sessions) > 0: 
+            llmclient = ToolClient([x.ask for x in llm_sessions], auto_save_tokens=True)
+            self.llmclient = llmclient
+        else:
+            self.llmclient = None
+
+        self.lock = threading.Lock()
+        self.history = []               
+        self.task_queue = queue.Queue() 
+        self.display_queue = queue.Queue() 
+        self.last_active_time = time.time()
+        self.is_running = False    
+        self.llm_no = 0
+        self.stop_sig = False
+        self.current_source = 'none'
+
+    def abort(self):
+        if self.is_running: self.stop_sig = True
+    def put_task(self, query, source="user"):
+        self.task_queue.put({"query": query, "source": source})
+
+    def run(self):
+        while True:
+            task = self.task_queue.get()
+            self.is_running = True
+            raw_query, source = task["query"], task["source"]
+            self.current_source = source
+            self.last_active_time = time.time()
+                        
+            rquery = smart_format(raw_query.replace('\n', ' '), max_str_len=200)
+            self.history.append(f"[USER]: {rquery}")
+            
+            sys_prompt = get_system_prompt()
+            handler = GenericAgentHandler(None, self.history, './temp')
+
+            self.llmclient.raw_api = self.llmclient.raw_apis[self.llm_no]
+            gen = agent_runner_loop(self.llmclient, sys_prompt, 
+                        raw_query, handler, TOOLS_SCHEMA, max_turns=25)
+            try:
+                full_response = ""
+                for chunk in gen:
+                    full_response += chunk
+                    self.display_queue.put({'next': full_response, 'source': source})
+                    if self.stop_sig:
+                        self.stop_sig = False
+                        raise KeyboardInterrupt("用户中止运行")
+                self.display_queue.put({'done': full_response, 'source': source})
+                self.history = handler.history_info
+            except:
+                self.display_queue.put({'done': '异常停止', 'source': source})
+            finally:
+                self.is_running = False
+                self.stop_sig = False
+                self.current_source = 'none'
+                self.task_queue.task_done()
+