最后,给定一个接口,接收用户输入,调用FinanceBotEx类的handle_query方法,返回结果: ```python @app.post("/queryex", response_model=dict) async def query(query: dict): # 使用字典类型代替Query模型 try: # 从字典中获取input input_data = query.get("input") result = finance_bot_ex.handle_query(i...
程序解读 在上述程序中,以dict的形式存储E、Q值E:dict = {key(s:string),value(a:dict)}这种数据结构解释了,通过遍历E.keys()和a[i], for in range self.env.action_space.n,for s,a_es in state_action_list即可遍历状态、动作空间组成的元组(s,a)...
同时,学习的时候从ExperienceReplay中学习,避免了单个Episode内Transition相关性带来的干扰,有利于提升Agent性能。ApproxQAgent初始化 ApproxQAgent继承自Agent父类,第二段的初始化过程中,执行了__init__方法,super调用了父类Agent的方法__init__进行初始化class...
class UpdateBehaviour(Tool): async def execute(self, adjustments:str="", **kwargs): await update_behaviour(self.agent, self.log, adjustments) return Response(message=self.agent.read_prompt("behaviour.updated.md"), break_loop=False) # async def before_execution(self, **kwargs): # pass #...
transition: 0.4s; } #project-list { overflow-y: auto; height: calc(100vh - var(--sidebar-padding-top) - var(--sidebar-title-height) - var(--sidebar-title-margin-bottom) - var(--sidebar-subtitle-height) - var(--sidebar-padding-bottom) - var(--sidebar-contact-height)); } .table...
FastAgency is an open-source framework designed to accelerate the transition from prototype to production for multi-agent AI workflows. For developers who use the AutoGen framework, FastAgency enables you to seamlessly scale Jupyter notebook prototypes into a fully functional, production-ready ...
update(visible=False) return gr.update(value=endpoint_model_map[endpoint]), base def read_doc(path): file_type = path.split(".")[-1] print(file_type) if file_type in ["pdf", "txt", "py", "docx", "json", "cpp", "md"]: if file_type.endswith("pdf"): content = extract_...
filesdef_crawl_container_pids(docker_util,container_dict,custom_cgroups=False):"""Crawl `/proc` to find container PIDs and add them to `containers_by_id`."""proc_path=os.path.join(docker_util._docker_root,'proc')pid_dirs=[_dirfor_dirinos.listdir(proc_path)if_dir.isdigit()]iflen(...
(response, dict): log.update(content=stream, kvps=response) #log if result is a dictionary already + except Exception as e: + pass + def call_extension(self, name: str, **kwargs) -> Any: pass \ No newline at end of file diff --git a/docs/win_installation_guide.txt b/docs/...
transition.info['advantage'] = advantage transition.info['gae_based_value_target'] = value_target self.action_advantages.add_sample(advantages) def train_network(self, batch, epochs): batch_results = [] for j in range(epochs): batch.shuffle() batch_results = { 'total_loss': [], 'losse...