import os, sys, threading, queue, time, json, re, random
if sys.stdout is None: sys.stdout = open(os.devnull, "w")
elif hasattr(sys.stdout, 'reconfigure'): sys.stdout.reconfigure(errors='replace')
if sys.stderr is None: sys.stderr = open(os.devnull, "w")
elif hasattr(sys.stderr, 'reconfigure'): sys.stderr.reconfigure(errors='replace')
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from sidercall import SiderLLMSession, LLMSession, ToolClient, ClaudeSession, XaiSession
from agent_loop import agent_runner_loop, StepOutcome, BaseHandler
from ga import GenericAgentHandler, smart_format, get_global_memory, format_error
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'):
t = 'assets/global_mem_insight_template.txt'
open('memory/global_mem_insight.txt', 'w', encoding='utf-8').write(open(t, encoding='utf-8').read() if os.path.exists(t) else '')
with open('assets/sys_prompt.txt', 'r', encoding='utf-8') as f: prompt = f.read()
prompt += f"\nToday: {time.strftime('%Y-%m-%d %a')}\n"
prompt += get_global_memory()
return prompt
class GeneraticAgent:
def __init__(self):
if not os.path.exists('temp'): os.makedirs('temp')
from sidercall import mykeys
llm_sessions = []
for k, cfg in mykeys.items():
if not any(x in k for x in ['api', 'config', 'cookie']): continue
try:
if 'claude' in k: llm_sessions += [ClaudeSession(api_key=cfg['apikey'], api_base=cfg['apibase'], model=cfg['model'])]
if 'oai' in k: llm_sessions += [LLMSession(api_key=cfg['apikey'], api_base=cfg['apibase'], model=cfg['model'], proxy=cfg.get('proxy'))]
if 'xai' in k: llm_sessions += [XaiSession(cfg, mykeys.get('proxy', ''))]
if 'sider' in k: llm_sessions += [SiderLLMSession(cfg, default_model=x) for x in \
["gemini-3.0-flash", "claude-haiku-4.5", "kimi-k2"]]
except: pass
if len(llm_sessions) > 0: self.llmclient = ToolClient(llm_sessions, auto_save_tokens=True)
else: self.llmclient = None
self.lock = threading.Lock()
self.history = []
self.task_queue = queue.Queue()
self.is_running, self.stop_sig = False, False
self.llm_no = 0
self.inc_out = False
self.handler = None
self.verbose = True
def next_llm(self, n=-1):
self.llm_no = ((self.llm_no + 1) if n < 0 else n) % len(self.llmclient.backends)
self.llmclient.last_tools = ''
def list_llms(self): return [(i, f"{type(b).__name__}/{b.default_model}", i == self.llm_no) for i, b in enumerate(self.llmclient.backends)]
def get_llm_name(self):
b = self.llmclient.backends[self.llm_no]
return f"{type(b).__name__}/{b.default_model}"
def abort(self):
print('Abort current task...')
if not self.is_running: return
self.stop_sig = True
if self.handler is not None:
self.handler.code_stop_signal.append(1)
def put_task(self, query, source="user"):
display_queue = queue.Queue()
self.task_queue.put({"query": query, "source": source, "output": display_queue})
return display_queue
def run(self):
while True:
task = self.task_queue.get()
self.is_running = True
raw_query, source, display_queue = task["query"], task["source"], task["output"]
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')
if self.handler and self.handler.key_info:
handler.key_info = self.handler.key_info
if '清除工作记忆' not in handler.key_info:
handler.key_info += '\n[SYSTEM] 如果是新任务，请先更新或清除工作记忆\n'
self.handler = handler
self.llmclient.backend = self.llmclient.backends[self.llm_no]
gen = agent_runner_loop(self.llmclient, sys_prompt, raw_query,
handler, TOOLS_SCHEMA, max_turns=40, verbose=self.verbose)
try:
full_resp = ""; last_pos = 0
for chunk in gen:
if self.stop_sig: break
full_resp += chunk
if len(full_resp) - last_pos > 50:
display_queue.put({'next': full_resp[last_pos:] if self.inc_out else full_resp, 'source': source})
last_pos = len(full_resp)
if self.inc_out and last_pos < len(full_resp): display_queue.put({'next': full_resp[last_pos:], 'source': source})
if '' in full_resp: full_resp = full_resp.replace('', '\n\n')
if '' in full_resp: full_resp = re.sub(r'\s*(.*?)\s*', r'\n````\n\n\1\n\n````', full_resp, flags=re.DOTALL)
display_queue.put({'done': full_resp, 'source': source})
self.history = handler.history_info
except Exception as e:
print(f"Backend Error: {format_error(e)}")
display_queue.put({'done': full_resp + f'\n```\n{format_error(e)}\n```', 'source': source})
finally:
self.is_running = self.stop_sig = False
self.task_queue.task_done()
if self.handler is not None: self.handler.code_stop_signal.append(1)
if __name__ == '__main__':
import argparse
from datetime import datetime
parser = argparse.ArgumentParser()
parser.add_argument('--scheduled', action='store_true', help='计划任务轮询模式')
parser.add_argument('--task', metavar='IODIR', help='一次性任务模式(文件IO)')
parser.add_argument('--llm_no', type=int, default=0, help='LLM编号')
args = parser.parse_args()
agent = GeneraticAgent()
agent.llm_no = args.llm_no
agent.verbose = False
threading.Thread(target=agent.run, daemon=True).start()
if args.task:
d = f'temp/{args.task}'; rp = f'{d}/reply.txt'; nround = ''
with open(f'{d}/input.txt', encoding='utf-8') as f: raw = f.read()
while True:
dq = agent.put_task(raw, source='task')
while 'done' not in (item := dq.get(timeout=120)):
if 'next' in item and random.random() < 0.01: # 1/100的概率写一次中间结果
with open(f'{d}/output{nround}.txt', 'w', encoding='utf-8') as f: f.write(item.get('next', ''))
with open(f'{d}/output{nround}.txt', 'w', encoding='utf-8') as f: f.write(item['done'])
for _ in range(150): # 等reply.txt，5分钟超时
time.sleep(2)
if os.path.exists(rp):
with open(rp, encoding='utf-8') as f: raw = f.read()
os.remove(rp); break
else: break
nround = int(nround) + 1 if nround.isdigit() else 1
elif args.scheduled:
def drain(dq, tag):
while 'done' not in (item := dq.get()): pass
open('./temp/scheduler.log', 'a', encoding='utf-8').write(f'[{datetime.now():%m-%d %H:%M}] {tag}\n{item["done"]}\n\n')
while True:
time.sleep(55 + random.random() * 10)
now = datetime.now()
if not os.path.isdir('./sche_tasks/pending'): continue
for f in os.listdir('./sche_tasks/pending'):
m = re.match(r'(\d{4}-\d{2}-\d{2})_(\d{4})_', f)
if m and now >= datetime.strptime(f'{m[1]} {m[2]}', '%Y-%m-%d %H%M'):
raw = open(f'./sche_tasks/pending/{f}', encoding='utf-8').read()
dq = agent.put_task(f'按scheduled_task_sop执行任务文件 ../sche_tasks/pending/{f}（立刻移到running）\n内容：\n{raw}', source='scheduler')
threading.Thread(target=drain, args=(dq, f), daemon=True).start()
break
else:
agent.inc_out = True
while True:
q = input('> ').strip()
if not q: continue
try:
dq = agent.put_task(q, source='user')
while True:
item = dq.get()
if 'next' in item: print(item['next'], end='', flush=True)
if 'done' in item: print(); break
except KeyboardInterrupt:
agent.abort()
print('\n[Interrupted]')