{"text": "这里现在有5个AI agent在同时的干活,但是我只下了一次命令。剩下的事情,谁在写前端,谁在写后端,谁在做测试,谁在做review,不是我一个一个安排的,是他们自己在分空,他们做完自己手上的任务以后,他还会自己去领下一件事情。然后更有意思的事情是什么呢?就是这些agent他们之间自己还会在这边去沟通,包括一些队长给成员的指派,私信,汇报,然后系统发的一些消息都有。最上面这个是agent teams的队长,他来负责创建这几个成员,同时去创建整个的一个共享任务列表。那成员的话,他就负责去做自己的任务,就他可以领自己的任务去执行,执行完了之后标记,标记完了之后去做下一个。那整体的任务依赖关系在这边也比较清楚。那右边的话就是我们刚刚讲到的整个的一个通讯协议嘛。那这个agent teams的可视化页面是我最近在cc-haha里面新上线的一个功能。那上期视频给大家讲了这个cc-haha的computer use嘛。那这一期视频我们来讲讲这一个agent teams在cc-haha里面要怎么使用。我们点开这个设置,完之后这个版本的话,在这个关于这个的版本我们用到0.6.3,更新到这个最新版本。然后通用里面的话有一个配置选项是agent teams的。这块默认是开启的,如果你不用的时候你把它关闭就行了。那整体使用的方式也非常的简单。你只需要在你的提示词里面加上使用agent teams,让他去协作。那这个时候稍微聪明一点的模型,他就知道用agent teams去做后续的规划。比如说他知道会把我们的开发任务先把契约定好。也就是说像我们这种前后段开发的任务,肯定是先把设计文档做好,对不对?整个的这个APS是怎么设计的,那前后段要怎么去协作开发。那他就会去规划整体的开发任务,那也会去创建具体的成员。创建完了之后,我们在这个地方会有这一个卡片。大家点击就会回到我们刚刚的这个页面了。那这个agent teams也是anthrobial官方他首次提出来的一个实验性的功能。在cloud code上面,现在也是实验的。那我把它做到我们这个CC-Ganghaha上面,做成了一个可视化。大家感兴趣的话可以来用一下。当然这个耗费token确实是耗费token的。我们这个任务的话大概用了4000万token吧。可以看到缓存率是99。整体这块的话也不是说所有的任务,他都适合使用agent teams。比如说很多任务你是可以用,完全是可以用subagent去做的。那有的任务他是创建去开发的,你就没必要使用agent teams去做。那大家如果对于整个agent teams的这个功能协作比较感兴趣,他底层原理感兴趣的话,agent teams所有的包括他那个celled代码,以及我们的可视化代码都在这个仓库里面的。如果感兴趣,你完全可以把它克隆下来,让agent去帮你分析。但很早之前,我有一期视频也专门讲过agent teams的一个协助原理。感兴趣的话,大家也可以去关注一下。OK,这就是本期视频所有内容。欢迎大家给我一键三连。我是阿江,我们下期见,拜拜。", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 4.36, "text": "这里现在有5个AI agent在同时的干活,但是我只下了一次命令。", "tokens": [50365, 35102, 25040, 2412, 20, 7549, 48698, 9461, 3581, 13089, 15729, 1546, 26111, 25956, 11, 11189, 1654, 14003, 4438, 2289, 27505, 25236, 49061, 1543, 50583], "temperature": 0, "avg_logprob": -0.10313422421374953, "compression_ratio": 1.3868194842406876, "no_speech_prob": 9.109827475706211e-12}, {"id": 1, "seek": 0, "start": 4.78, "end": 17.34, "text": "剩下的事情,谁在写前端,谁在写后端,谁在做测试,谁在做review,不是我一个一个安排的,是他们自己在分空,他们做完自己手上的任务以后,他还会自己去领下一件事情。", "tokens": [50604, 5935, 102, 4438, 1546, 24675, 11, 33556, 3581, 5676, 247, 8945, 11957, 107, 11, 33556, 3581, 5676, 247, 13547, 11957, 107, 11, 33556, 3581, 10907, 11038, 233, 5233, 243, 11, 33556, 3581, 10907, 265, 1759, 11, 7296, 1654, 20182, 20182, 16206, 44647, 1546, 11, 1541, 47911, 17645, 3581, 6627, 23322, 11, 47911, 10907, 14128, 17645, 11389, 5708, 1546, 26443, 5087, 94, 3588, 13547, 11, 5000, 14852, 12949, 17645, 6734, 12501, 228, 45271, 49459, 1543, 51232], "temperature": 0, "avg_logprob": -0.10313422421374953, "compression_ratio": 1.3868194842406876, "no_speech_prob": 9.109827475706211e-12}, {"id": 2, "seek": 0, "start": 17.88, "end": 27.6, "text": "然后更有意思的事情是什么呢?就是这些agent他们之间自己还会在这边去沟通,包括一些队长给成员的指派,私信,汇报,然后系统发的一些消息都有。", "tokens": [51259, 26636, 19002, 2412, 16697, 1546, 24675, 1541, 10440, 6240, 30, 5620, 5562, 13824, 559, 317, 47911, 9574, 31685, 17645, 14852, 12949, 3581, 5562, 40503, 6734, 3308, 253, 19550, 11, 41828, 38515, 10034, 253, 32271, 23197, 11336, 3606, 246, 1546, 25922, 12136, 122, 11, 20083, 17665, 11, 12800, 229, 49817, 11, 26636, 25368, 10115, 253, 28926, 1546, 38515, 28837, 26460, 48121, 1543, 51745], "temperature": 0, "avg_logprob": -0.10313422421374953, "compression_ratio": 1.3868194842406876, "no_speech_prob": 9.109827475706211e-12}, {"id": 3, "seek": 2760, "start": 27.6, "end": 35.2, "text": "最上面这个是agent teams的队长,他来负责创建这几个成员,同时去创建整个的一个共享任务列表。", "tokens": [50365, 8661, 49750, 15368, 1541, 559, 317, 5491, 1546, 10034, 253, 32271, 11, 5000, 6912, 18464, 253, 18464, 96, 2437, 249, 34157, 5562, 6336, 254, 7549, 11336, 3606, 246, 11, 13089, 15729, 6734, 2437, 249, 34157, 27662, 7549, 1546, 20182, 15408, 27654, 26443, 5087, 94, 43338, 17571, 1543, 50745], "temperature": 0, "avg_logprob": -0.11769189884525319, "compression_ratio": 1.4970059880239521, "no_speech_prob": 1.1945196567997307e-11}, {"id": 4, "seek": 2760, "start": 35.68, "end": 43.1, "text": "那成员的话,他就负责去做自己的任务,就他可以领自己的任务去执行,执行完了之后标记,标记完了之后去做下一个。", "tokens": [50769, 4184, 11336, 3606, 246, 44575, 11, 5000, 3111, 18464, 253, 18464, 96, 6734, 10907, 17645, 1546, 26443, 5087, 94, 11, 3111, 5000, 6723, 12501, 228, 17645, 1546, 26443, 5087, 94, 6734, 3416, 100, 8082, 11, 3416, 100, 8082, 41665, 9574, 13547, 162, 3921, 34756, 11, 162, 3921, 34756, 41665, 9574, 13547, 6734, 10907, 4438, 20182, 1543, 51140], "temperature": 0, "avg_logprob": -0.11769189884525319, "compression_ratio": 1.4970059880239521, "no_speech_prob": 1.1945196567997307e-11}, {"id": 5, "seek": 2760, "start": 43.1, "end": 45.7, "text": "那整体的任务依赖关系在这边也比较清楚。", "tokens": [51140, 4184, 27662, 29485, 1546, 26443, 5087, 94, 3254, 251, 5266, 244, 28053, 25368, 3581, 5562, 40503, 6404, 11706, 9830, 225, 38433, 1543, 51270], "temperature": 0, "avg_logprob": -0.11769189884525319, "compression_ratio": 1.4970059880239521, "no_speech_prob": 1.1945196567997307e-11}, {"id": 6, "seek": 2760, "start": 46.24, "end": 49.040000000000006, "text": "那右边的话就是我们刚刚讲到的整个的一个通讯协议嘛。", "tokens": [51297, 4184, 22060, 40503, 44575, 5620, 15003, 49160, 49160, 39255, 4511, 1546, 27662, 7549, 1546, 20182, 19550, 7422, 107, 5322, 237, 7422, 106, 20722, 1543, 51437], "temperature": 0, "avg_logprob": -0.11769189884525319, "compression_ratio": 1.4970059880239521, "no_speech_prob": 1.1945196567997307e-11}, {"id": 7, "seek": 2760, "start": 49.44, "end": 54.36, "text": "那这个agent teams的可视化页面是我最近在cc-haha里面新上线的一个功能。", "tokens": [51457, 4184, 15368, 559, 317, 5491, 1546, 4429, 40656, 23756, 10178, 113, 8833, 42614, 46777, 3581, 1914, 12, 71, 4408, 15759, 8833, 12560, 5708, 16853, 123, 1546, 20182, 32311, 8225, 1543, 51703], "temperature": 0, "avg_logprob": -0.11769189884525319, "compression_ratio": 1.4970059880239521, "no_speech_prob": 1.1945196567997307e-11}, {"id": 8, "seek": 5436, "start": 54.36, "end": 58.06, "text": "那上期视频给大家讲了这个cc-haha的computer use嘛。", "tokens": [50365, 4184, 5708, 16786, 40656, 39752, 23197, 6868, 39255, 2289, 15368, 1914, 12, 71, 4408, 1546, 1112, 13849, 764, 20722, 1543, 50550], "temperature": 0, "avg_logprob": -0.1515535381105211, "compression_ratio": 1.3428571428571427, "no_speech_prob": 1.4223820905823192e-11}, {"id": 9, "seek": 5436, "start": 58.06, "end": 62.96, "text": "那这一期视频我们来讲讲这一个agent teams在cc-haha里面要怎么使用。", "tokens": [50550, 4184, 5562, 2257, 16786, 40656, 39752, 15003, 6912, 39255, 39255, 5562, 20182, 559, 317, 5491, 3581, 1914, 12, 71, 4408, 15759, 8833, 4275, 15282, 22982, 9254, 1543, 50795], "temperature": 0, "avg_logprob": -0.1515535381105211, "compression_ratio": 1.3428571428571427, "no_speech_prob": 1.4223820905823192e-11}, {"id": 10, "seek": 5436, "start": 62.96, "end": 70.26, "text": "我们点开这个设置,完之后这个版本的话,在这个关于这个的版本我们用到0.6.3,更新到这个最新版本。", "tokens": [50795, 15003, 12579, 18937, 15368, 7422, 122, 34719, 11, 14128, 9574, 13547, 15368, 42096, 8802, 44575, 11, 3581, 15368, 28053, 37732, 15368, 1546, 42096, 8802, 15003, 9254, 4511, 15, 13, 21, 13, 18, 11, 19002, 12560, 4511, 15368, 8661, 12560, 42096, 8802, 1543, 51160], "temperature": 0, "avg_logprob": -0.1515535381105211, "compression_ratio": 1.3428571428571427, "no_speech_prob": 1.4223820905823192e-11}, {"id": 11, "seek": 5436, "start": 70.26, "end": 74.36, "text": "然后通用里面的话有一个配置选项是agent teams的。", "tokens": [51160, 26636, 19550, 9254, 15759, 8833, 44575, 2412, 20182, 38846, 34719, 2215, 231, 10178, 117, 1541, 559, 317, 5491, 1546, 1543, 51365], "temperature": 0, "avg_logprob": -0.1515535381105211, "compression_ratio": 1.3428571428571427, "no_speech_prob": 1.4223820905823192e-11}, {"id": 12, "seek": 5436, "start": 74.36, "end": 78.36, "text": "这块默认是开启的,如果你不用的时候你把它关闭就行了。", "tokens": [51365, 5562, 47734, 6173, 246, 7422, 97, 1541, 18937, 2392, 107, 1546, 11, 45669, 24384, 49873, 2166, 42061, 28053, 8259, 255, 3111, 46606, 1543, 51565], "temperature": 0, "avg_logprob": -0.1515535381105211, "compression_ratio": 1.3428571428571427, "no_speech_prob": 1.4223820905823192e-11}, {"id": 13, "seek": 7836, "start": 78.36, "end": 80.36, "text": "那整体使用的方式也非常的简单。", "tokens": [50365, 4184, 27662, 29485, 22982, 9254, 1546, 9249, 27584, 6404, 48263, 11249, 222, 47446, 1543, 50465], "temperature": 0, "avg_logprob": -0.15066071631203234, "compression_ratio": 1.2727272727272727, "no_speech_prob": 1.5180945042714278e-11}, {"id": 14, "seek": 7836, "start": 80.36, "end": 85.06, "text": "你只需要在你的提示词里面加上使用agent teams,让他去协作。", "tokens": [50465, 2166, 14003, 35748, 3581, 18961, 20949, 25696, 5233, 235, 15759, 8833, 9990, 5708, 22982, 9254, 559, 317, 5491, 11, 33650, 5000, 6734, 5322, 237, 11914, 1543, 50700], "temperature": 0, "avg_logprob": -0.15066071631203234, "compression_ratio": 1.2727272727272727, "no_speech_prob": 1.5180945042714278e-11}, {"id": 15, "seek": 7836, "start": 85.06, "end": 90.76, "text": "那这个时候稍微聪明一点的模型,他就知道用agent teams去做后续的规划。", "tokens": [50700, 4184, 15368, 29111, 10415, 235, 39152, 8171, 103, 11100, 49042, 1546, 41908, 39823, 11, 5000, 3111, 7758, 9254, 559, 317, 5491, 6734, 10907, 13547, 10115, 255, 1546, 6758, 226, 2437, 240, 1543, 50985], "temperature": 0, "avg_logprob": -0.15066071631203234, "compression_ratio": 1.2727272727272727, "no_speech_prob": 1.5180945042714278e-11}, {"id": 16, "seek": 7836, "start": 90.76, "end": 94.06, "text": "比如说他知道会把我们的开发任务先把契约定好。", "tokens": [50985, 36757, 8090, 5000, 7758, 12949, 16075, 15003, 1546, 18937, 28926, 26443, 5087, 94, 10108, 16075, 1881, 239, 16853, 99, 12088, 2131, 1543, 51150], "temperature": 0, "avg_logprob": -0.15066071631203234, "compression_ratio": 1.2727272727272727, "no_speech_prob": 1.5180945042714278e-11}, {"id": 17, "seek": 7836, "start": 94.06, "end": 98.56, "text": "也就是说像我们这种前后段开发的任务,肯定是先把设计文档做好,对不对?", "tokens": [51150, 6404, 5620, 8090, 12760, 15003, 5562, 39810, 8945, 13547, 28427, 18937, 28926, 1546, 26443, 5087, 94, 11, 14356, 107, 12088, 1541, 10108, 16075, 7422, 122, 7422, 94, 17174, 21416, 96, 10907, 2131, 11, 8713, 41639, 30, 51375], "temperature": 0, "avg_logprob": -0.15066071631203234, "compression_ratio": 1.2727272727272727, "no_speech_prob": 1.5180945042714278e-11}, {"id": 18, "seek": 9856, "start": 98.56, "end": 103.26, "text": "整个的这个APS是怎么设计的,那前后段要怎么去协作开发。", "tokens": [50365, 27662, 7549, 1546, 15368, 4715, 50, 1541, 15282, 7422, 122, 7422, 94, 1546, 11, 4184, 8945, 13547, 28427, 4275, 15282, 6734, 5322, 237, 11914, 18937, 28926, 1543, 50600], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 19, "seek": 9856, "start": 103.26, "end": 107.36, "text": "那他就会去规划整体的开发任务,那也会去创建具体的成员。", "tokens": [50600, 4184, 5000, 3111, 12949, 6734, 6758, 226, 2437, 240, 27662, 29485, 1546, 18937, 28926, 26443, 5087, 94, 11, 4184, 6404, 12949, 6734, 2437, 249, 34157, 39806, 29485, 1546, 11336, 3606, 246, 1543, 50805], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 20, "seek": 9856, "start": 107.36, "end": 109.76, "text": "创建完了之后,我们在这个地方会有这一个卡片。", "tokens": [50805, 2437, 249, 34157, 41665, 9574, 13547, 11, 15003, 3581, 15368, 30146, 12949, 2412, 5562, 20182, 32681, 16668, 1543, 50925], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 21, "seek": 9856, "start": 109.76, "end": 112.36, "text": "大家点击就会回到我们刚刚的这个页面了。", "tokens": [50925, 6868, 12579, 6336, 119, 3111, 12949, 8350, 4511, 15003, 49160, 49160, 1546, 15368, 10178, 113, 8833, 2289, 1543, 51055], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 22, "seek": 9856, "start": 112.36, "end": 117.06, "text": "那这个agent teams也是anthrobial官方他首次提出来的一个实验性的功能。", "tokens": [51055, 4184, 15368, 559, 317, 5491, 22021, 282, 392, 16614, 831, 31929, 9249, 5000, 25444, 9487, 20949, 44561, 1546, 20182, 24726, 49657, 234, 21686, 1546, 32311, 8225, 1543, 51290], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 23, "seek": 9856, "start": 117.06, "end": 119.36, "text": "在cloud code上面,现在也是实验的。", "tokens": [51290, 3581, 44495, 3089, 49750, 11, 25040, 22021, 24726, 49657, 234, 1546, 1543, 51405], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 24, "seek": 9856, "start": 119.36, "end": 122.76, "text": "那我把它做到我们这个CC-Ganghaha上面,做成了一个可视化。", "tokens": [51405, 4184, 1654, 42061, 10907, 4511, 15003, 15368, 11717, 12, 38, 656, 71, 4408, 49750, 11, 10907, 11336, 2289, 20182, 4429, 40656, 23756, 1543, 51575], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 25, "seek": 9856, "start": 122.76, "end": 124.46000000000001, "text": "大家感兴趣的话可以来用一下。", "tokens": [51575, 6868, 9709, 2347, 112, 39835, 44575, 6723, 6912, 9254, 8861, 1543, 51660], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 26, "seek": 9856, "start": 124.46000000000001, "end": 126.86, "text": "当然这个耗费token确实是耗费token的。", "tokens": [51660, 40486, 15368, 4450, 245, 18464, 117, 83, 8406, 38114, 106, 24726, 1541, 4450, 245, 18464, 117, 83, 8406, 1546, 1543, 51780], "temperature": 0, "avg_logprob": -0.18545037049513596, "compression_ratio": 1.443609022556391, "no_speech_prob": 1.3305649117223428e-11}, {"id": 27, "seek": 12686, "start": 126.86, "end": 130.26, "text": "我们这个任务的话大概用了4000万token吧。", "tokens": [50365, 15003, 15368, 26443, 5087, 94, 44575, 32044, 9254, 2289, 19, 1360, 23570, 83, 8406, 6062, 1543, 50535], "temperature": 0, "avg_logprob": -0.1748263109176554, "compression_ratio": 1.4547945205479451, "no_speech_prob": 1.3318445304943971e-11}, {"id": 28, "seek": 12686, "start": 130.26, "end": 131.86, "text": "可以看到缓存率是99。", "tokens": [50535, 6723, 18032, 38109, 241, 39781, 44866, 1541, 8494, 1543, 50615], "temperature": 0, "avg_logprob": -0.1748263109176554, "compression_ratio": 1.4547945205479451, "no_speech_prob": 1.3318445304943971e-11}, {"id": 29, "seek": 12686, "start": 131.86, "end": 136.86, "text": "整体这块的话也不是说所有的任务,他都适合使用agent teams。", "tokens": [50615, 27662, 29485, 5562, 47734, 44575, 6404, 7296, 8090, 39300, 1546, 26443, 5087, 94, 11, 5000, 7182, 2215, 224, 14245, 22982, 9254, 559, 317, 5491, 1543, 50865], "temperature": 0, "avg_logprob": -0.1748263109176554, "compression_ratio": 1.4547945205479451, "no_speech_prob": 1.3318445304943971e-11}, {"id": 30, "seek": 12686, "start": 136.86, "end": 140.86, "text": "比如说很多任务你是可以用,完全是可以用subagent去做的。", "tokens": [50865, 36757, 8090, 20778, 26443, 5087, 94, 32526, 6723, 9254, 11, 37100, 1541, 6723, 9254, 30131, 559, 317, 6734, 10907, 1546, 1543, 51065], "temperature": 0, "avg_logprob": -0.1748263109176554, "compression_ratio": 1.4547945205479451, "no_speech_prob": 1.3318445304943971e-11}, {"id": 31, "seek": 12686, "start": 140.86, "end": 144.66, "text": "那有的任务他是创建去开发的,你就没必要使用agent teams去做。", "tokens": [51065, 4184, 2412, 1546, 26443, 5087, 94, 47046, 2437, 249, 34157, 6734, 18937, 28926, 1546, 11, 41045, 10062, 28531, 4275, 22982, 9254, 559, 317, 5491, 6734, 10907, 1543, 51255], "temperature": 0, "avg_logprob": -0.1748263109176554, "compression_ratio": 1.4547945205479451, "no_speech_prob": 1.3318445304943971e-11}, {"id": 32, "seek": 12686, "start": 144.66, "end": 148.86, "text": "那大家如果对于整个agent teams的这个功能协作比较感兴趣,", "tokens": [51255, 4184, 6868, 13119, 8713, 37732, 27662, 7549, 559, 317, 5491, 1546, 15368, 32311, 8225, 5322, 237, 11914, 11706, 9830, 225, 9709, 2347, 112, 39835, 11, 51465], "temperature": 0, "avg_logprob": -0.1748263109176554, "compression_ratio": 1.4547945205479451, "no_speech_prob": 1.3318445304943971e-11}, {"id": 33, "seek": 12686, "start": 148.86, "end": 153.86, "text": "他底层原理感兴趣的话,agent teams所有的包括他那个celled代码,", "tokens": [51465, 5000, 22816, 9636, 224, 19683, 13876, 9709, 2347, 112, 39835, 44575, 11, 559, 317, 5491, 39300, 1546, 41828, 5000, 43083, 4164, 292, 19105, 23230, 223, 11, 51715], "temperature": 0, "avg_logprob": -0.1748263109176554, "compression_ratio": 1.4547945205479451, "no_speech_prob": 1.3318445304943971e-11}, {"id": 34, "seek": 12686, "start": 153.86, "end": 156.16, "text": "以及我们的可视化代码都在这个仓库里面的。", "tokens": [51715, 40282, 15003, 1546, 4429, 40656, 23756, 19105, 23230, 223, 7182, 3581, 15368, 1550, 241, 6346, 241, 15759, 8833, 1546, 1543, 51830], "temperature": 0, "avg_logprob": -0.1748263109176554, "compression_ratio": 1.4547945205479451, "no_speech_prob": 1.3318445304943971e-11}, {"id": 35, "seek": 15616, "start": 156.16, "end": 160.56, "text": "如果感兴趣,你完全可以把它克隆下来,让agent去帮你分析。", "tokens": [50365, 13119, 9709, 2347, 112, 39835, 11, 2166, 37100, 6723, 42061, 24881, 10673, 228, 4438, 6912, 11, 33650, 559, 317, 6734, 4845, 106, 2166, 6627, 7360, 238, 1543, 50585], "temperature": 0, "avg_logprob": -0.1595018943854138, "compression_ratio": 1.217557251908397, "no_speech_prob": 1.676046280929544e-11}, {"id": 36, "seek": 15616, "start": 160.56, "end": 165.16, "text": "但很早之前,我有一期视频也专门讲过agent teams的一个协助原理。", "tokens": [50585, 8395, 4563, 21176, 32442, 11, 1654, 32241, 16786, 40656, 39752, 6404, 940, 241, 8259, 101, 39255, 16866, 559, 317, 5491, 1546, 20182, 5322, 237, 37618, 19683, 13876, 1543, 50815], "temperature": 0, "avg_logprob": -0.1595018943854138, "compression_ratio": 1.217557251908397, "no_speech_prob": 1.676046280929544e-11}, {"id": 37, "seek": 15616, "start": 165.16, "end": 167.16, "text": "感兴趣的话,大家也可以去关注一下。", "tokens": [50815, 9709, 2347, 112, 39835, 44575, 11, 6868, 47935, 6734, 28053, 26432, 8861, 1543, 50915], "temperature": 0, "avg_logprob": -0.1595018943854138, "compression_ratio": 1.217557251908397, "no_speech_prob": 1.676046280929544e-11}, {"id": 38, "seek": 15616, "start": 167.16, "end": 170.16, "text": "OK,这就是本期视频所有内容。欢迎大家给我一键三连。", "tokens": [50915, 9443, 11, 5562, 5620, 8802, 16786, 40656, 39752, 39300, 34742, 25750, 1543, 28566, 17699, 6868, 49076, 2257, 23049, 106, 10960, 3316, 252, 1543, 51065], "temperature": 0, "avg_logprob": -0.1595018943854138, "compression_ratio": 1.217557251908397, "no_speech_prob": 1.676046280929544e-11}, {"id": 39, "seek": 15616, "start": 170.16, "end": 171.56, "text": "我是阿江,我们下期见,拜拜。", "tokens": [51065, 15914, 13594, 41796, 11, 15003, 4438, 16786, 23813, 11, 35105, 1543, 51135], "temperature": 0, "avg_logprob": -0.1595018943854138, "compression_ratio": 1.217557251908397, "no_speech_prob": 1.676046280929544e-11}], "language": "zh"}