473659ba6e
- agent_loop: for→while, _done_hooks callback mechanism, max_turns=40 - agentmain: pass self to handler, abort clears task queue - stapp: heartbeat yield for Streamlit StopException detection - ga: _inline_eval param for in-process eval, no_tool thresholds tuned - scheduler: logging, max_delay_hours, weekday repeat, health_check()
100 lines
4.7 KiB
Python
100 lines
4.7 KiB
Python
import json, re
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from dataclasses import dataclass
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from typing import Any, Optional
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@dataclass
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class StepOutcome:
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data: Any
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next_prompt: Optional[str] = None
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should_exit: bool = False
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def try_call_generator(func, *args, **kwargs):
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ret = func(*args, **kwargs)
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if hasattr(ret, '__iter__') and not isinstance(ret, (str, bytes, dict, list)):
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ret = yield from ret
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return ret
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class BaseHandler:
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def tool_before_callback(self, tool_name, args, response): pass
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def tool_after_callback(self, tool_name, args, response, ret): pass
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def next_prompt_patcher(self, next_prompt, outcome, turn): return next_prompt
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def dispatch(self, tool_name, args, response, index=0):
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method_name = f"do_{tool_name}"
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if hasattr(self, method_name):
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args['_index'] = index
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prer = yield from try_call_generator(self.tool_before_callback, tool_name, args, response)
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ret = yield from try_call_generator(getattr(self, method_name), args, response)
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_ = yield from try_call_generator(self.tool_after_callback, tool_name, args, response, ret)
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return ret
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elif tool_name == 'bad_json':
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return StepOutcome(None, next_prompt=args.get('msg', 'bad_json'), should_exit=False)
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else:
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yield f"未知工具: {tool_name}\n"
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return StepOutcome(None, next_prompt=f"未知工具 {tool_name}", should_exit=False)
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def json_default(o):
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if isinstance(o, set): return list(o)
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return str(o)
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def exhaust(g):
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try:
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while True: next(g)
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except StopIteration as e: return e.value
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def get_pretty_json(data):
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if isinstance(data, dict) and "script" in data:
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data = data.copy()
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data["script"] = data["script"].replace("; ", ";\n ")
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return json.dumps(data, indent=2, ensure_ascii=False).replace('\\n', '\n')
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def agent_runner_loop(client, system_prompt, user_input, handler, tools_schema, max_turns=40, verbose=True, initial_user_content=None):
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messages = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": initial_user_content if initial_user_content is not None else user_input}
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]
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turn = 0; handler._done_hooks = []; handler.max_turns = max_turns
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while turn < handler.max_turns:
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turn += 1; yield f"**LLM Running (Turn {turn}) ...**\n\n"
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if turn%10 == 0: client.last_tools = '' # 每10轮重置一次工具描述，避免上下文过大导致的模型性能下降
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response_gen = client.chat(messages=messages, tools=tools_schema)
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if verbose:
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response = yield from response_gen
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yield '\n\n'
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else:
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response = exhaust(response_gen)
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yield response.content
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if not response.tool_calls: tool_calls = [{'tool_name': 'no_tool', 'args': {}}]
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else: tool_calls = [{'tool_name': tc.function.name, 'args': json.loads(tc.function.arguments)}
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for tc in response.tool_calls]
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next_prompt = ""; should_exit = None
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for ii, tc in enumerate(tool_calls):
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tool_name, args = tc['tool_name'], tc['args']
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if tool_name == 'no_tool': pass
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else:
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showarg = get_pretty_json(args)
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if not verbose and len(showarg) > 200: showarg = showarg[:200] + ' ...'
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yield f"🛠️ **正在调用工具:** `{tool_name}` 📥**参数:**\n````text\n{showarg}\n````\n"
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handler.current_turn = turn
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gen = handler.dispatch(tool_name, args, response, index=ii)
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if verbose:
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yield '`````\n'
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outcome = yield from gen
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yield '`````\n'
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else: outcome = exhaust(gen)
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if outcome.should_exit: return {'result': 'EXITED', 'data': outcome.data} # should_exit is only used for immediate exit
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if not outcome.next_prompt:
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should_exit = {'result': 'CURRENT_TASK_DONE', 'data': outcome.data}; break
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if outcome.next_prompt.startswith('未知工具'): client.last_tools = ''
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if outcome.data is not None:
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datastr = json.dumps(outcome.data, ensure_ascii=False, default=json_default) if type(outcome.data) in [dict, list] else str(outcome.data)
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next_prompt += f"<tool_result>\n{datastr}\n</tool_result>\n\n"
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next_prompt += outcome.next_prompt;
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if not next_prompt:
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if len(handler._done_hooks) == 0: return should_exit
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next_prompt += handler._done_hooks.pop(0)
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next_prompt = handler.next_prompt_patcher(next_prompt, None, turn)
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messages = [{"role": "user", "content": next_prompt}] # just new message, history is kept in *Session
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return {'result': 'MAX_TURNS_EXCEEDED'}
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