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