LLM智能体规划表示对比:线性、动态与PlanAhead策略的工程实践
2026/8/18 0:47:38
pow_cfg =data["data"]["comm_captcha_cfg"]["pow_cfg"] prefix=pow_cfg["prefix"] md5=pow_cfg["md5"] cp=execjs.compile(open('tx.js','r',encoding='utf-8').read()) data=cp.call('getCollect',trace) eks=data['eks'] collect=data['collect'] url = "/cap_union_new_verify" result=cp.call('getAns',md5,prefix,sess,collect,eks,distance,y) data=result print(data) response = session.post(url, headers=headers, data=data) data = response.json() print(data)pow_cfg =data["data"]["comm_captcha_cfg"]["pow_cfg"] prefix=pow_cfg["prefix"] md5=pow_cfg["md5"] cp=execjs.compile(open('tx.js','r',encoding='utf-8').read()) data=cp.call('getCollect',trace) eks=data['eks'] collect=data['collect'] url = "/cap_union_new_verify" result=cp.call('getAns',md5,prefix,sess,collect,eks,distance,y) data=result print(data) response = session.post(url, headers=headers, data=data) data = response.json() print(data)