{"text": "观众朋友们,大家好。最近我用Cloud Code写代码,感觉挺好用的。但Cloud的模型实在是太贵了,而且用不了一回,就得等待Token重置才能继续用。所以我就想,那有没有一种办法可以让Cloud Code carry第三方的模型。这样的话,就既可以保留Cloud Code carry强悍的Harness能力,又可以节约Token的费用。尤其是使用最新发布的国产模型,比如GLM5.1,KIMI20,2.6,还有DeepSeq V4,这些模型的能力和Cloud的OPPO 4.6差不多,但价格却便宜的非常之多。经过我一段时间的研究,我发现,目前市面上最方便的产品就是CC Switch。CC Switch不仅支持在Cloud Code中使用各种第三方模型,而且支持在任何的第三方的agents中使用第三方模型,也就是像下面这张图这样的多对多关系。好,下面我就带你来了解如何使用CC Switch。我们通过如下的三步来确保我们正确的设置了CC Switch。最终让Cloud Code可以正常的使用第三方。第一步是确保当前Cloud Code是没有可用第三方模型的。第二步是配置CC Switch。这里包括三个小步骤,分别是1比下载CC Switch,2比以KIMI为例子,选择LM服务商。三篇写KIMI提供的API URL和API KE。最后一步是验证Cloud Code是否可以正常使用KIMI 2.6模型了。好,我们开始执行第一步,确保Cloud Code是没有可用模型的。我们现在输入Cloud Code回车。然后现在它是要让我们选择登录方法。是要让我们选择登录方法。我们现在不需要登录,然后我们先禁掉登录。我们去输入这个。Has completed our boarding,然后设置为True,然后回车。这样之后我们就。好,我们现在输入你好。好,提示我们没有登录。就是现在我们是没登录,也没有可用的模型的。好,我们先进入这个github.com。我们点击搜索,输入CESA Switch。然后回车。这一个CESA Switch。然后我们点击进来。到这个右边。Renuse。再滚动到下面。然后在这里选择对应的操作系统进行下载。然后我这里选择下载。Marco's。发送完了之后安装。好,我们现在的这个第一步已经确认了二步的。这个已经下好了。然后我们选择。然后我们就开始去这个演示一下怎么去设置这个KMI的AL1U和API-K。然后我们现在先把这个SwitchWitch打开。好,现在我们打开了。我们介绍一下这个上面这个Cloud。上面这个是它支持的AI Agent。比如这个是OpenAI。这个是Human。这个是OpenCode。这个OpenCloud。这个是Harmes。然后点加。主要是会针对你选中的这个。你选中的这个。比如我们现在选中的AIA行情是Cloud。针对你选中的这个Cloud来设置。你要选的这个与大约模型的提供商。就这里提供商有很多。比如说这个。Gunqualk Code的官方。比如说这个。这个。深上云。这是。规机流动。因为达。Codex。Deeptake。GPIPGLM。这都有。然后我们选的是这个KMI for coding。我们选中它。然后你看这个就是选中的是KMI for coding。然后现在我们关心的是这两个API key。我这个API跟的Point。API科你默认它已经给你默认带了一个了。所以我们就不用不用再填了。然后我们只用填API key。然后API key的话是你去购买了这个它的服务。购买了KMI的服务它会给你一个API key。然后你就把它填进去就行了。就是这样的。就是这样的一个。就是这样的一个。这样的一个东西。然后你选。选一个。我们拷贝一个。我们拷贝一个。我们把这个API填进来。填进来之后我们点填加。然后这个就加进来了。加进来以后我们再把Tainable。然后就已经切换到这个KMI for good了。然后我们现在来试一下。看。已经在开始读取了。你看它已经回答你了。但是它让我Cloud的Sonic 4.6。但其实它不是Claudio的Sonic。它是KMI。KMI 2.6。它之所以说它是这个。是因为。是因为。啊。是因为这个大模型它返回的结果会受它的这个提示词的影响。因为这个Cloud Code它本身会添加了很多。它的一些信息。然后就让大模型它以为它是Cloud上来的。其实不是。其实它是KMI 2.6。所以这个不重要。总之我们现在就已经。之前不行。然后我们现在切换到KMI之后。然后我们就可以正常使用。正常使用这个外部的第三方的这个单元模型了。我们就可以做我们想做的事情。好。就是这一步我们验证了。这两步也结束了。我们就要做我们的这个节目也结束了。", "segments": [{"id": 0, "seek": 0, "start": 0.0, "end": 29.98, "text": "观众朋友们,大家好。最近我用Cloud Code写代码,感觉挺好用的。但Cloud的模型实在是太贵了,而且用不了一回,就得等待Token重置才能继续用。所以我就想,那有没有一种办法可以让Cloud Code carry第三方的模型。这样的话,就既可以保留Cloud Code carry强悍的Harness能力,又可以节约Token的费用。尤其是使用最新发布的国产模型,比如GLM5.1,KIMI20,", "tokens": [50365, 42350, 7384, 245, 19828, 9497, 11, 15248, 1543, 46777, 1654, 9254, 32787, 15549, 5676, 247, 19105, 23230, 223, 11, 9709, 24447, 41046, 2131, 9254, 1546, 1543, 8395, 32787, 1546, 41908, 39823, 24726, 3581, 1541, 9455, 18464, 113, 2289, 11, 22942, 9254, 47225, 2257, 8350, 11, 3111, 5916, 10187, 18390, 51, 8406, 12624, 34719, 18888, 8225, 10115, 100, 10115, 255, 9254, 1543, 7239, 22020, 7093, 11, 4184, 2412, 17944, 2257, 39810, 39453, 11148, 6723, 33650, 32787, 15549, 3985, 35878, 9249, 1546, 41908, 39823, 1543, 21209, 44575, 11, 3111, 4479, 95, 6723, 24302, 24456, 32787, 15549, 3985, 5702, 118, 14696, 235, 1546, 39, 16937, 8225, 13486, 11, 17047, 6723, 45161, 16853, 99, 51, 8406, 1546, 18464, 117, 9254, 1543, 1530, 97, 9572, 1541, 22982, 9254, 8661, 12560, 28926, 34688, 1546, 16086, 1369, 100, 41908, 39823, 11, 36757, 19440, 44, 20, 13, 16, 11, 42, 6324, 40, 2009, 11, 51864], "temperature": 0, "avg_logprob": -0.150399060857376, "compression_ratio": 1.2349570200573066, "no_speech_prob": 7.05610526605116e-12}, {"id": 1, "seek": 3000, "start": 30.0, "end": 58.24, "text": "2.6,还有DeepSeq V4,这些模型的能力和Cloud的OPPO 4.6差不多,但价格却便宜的非常之多。经过我一段时间的研究,我发现,目前市面上最方便的产品就是CC Switch。CC Switch不仅支持在Cloud Code中使用各种第三方模型,而且支持在任何的第三方的agents中使用第三方模型,也就是像下面这张图这样的多对多关系。", "tokens": [50365, 17, 13, 21, 11, 35091, 11089, 595, 10637, 80, 691, 19, 11, 5562, 13824, 41908, 39823, 1546, 8225, 13486, 12565, 32787, 1546, 12059, 34885, 1017, 13, 21, 37876, 11, 8395, 1550, 115, 30921, 5322, 112, 27364, 2415, 250, 1546, 14392, 9574, 6392, 1543, 30276, 16866, 1654, 2257, 28427, 44848, 1546, 23230, 242, 44704, 11, 1654, 28926, 20204, 11, 39004, 27261, 8833, 5708, 8661, 9249, 27364, 1546, 1369, 100, 30246, 5620, 11717, 13893, 1543, 11717, 13893, 1960, 1550, 227, 35488, 3581, 32787, 15549, 5975, 22982, 9254, 17516, 39810, 35878, 9249, 41908, 39823, 11, 22942, 35488, 3581, 26443, 11906, 1546, 35878, 9249, 1546, 559, 791, 5975, 22982, 9254, 35878, 9249, 41908, 39823, 11, 6404, 5620, 12760, 47150, 5562, 44059, 3919, 122, 21209, 1546, 6392, 8713, 6392, 28053, 25368, 1543, 51777], "temperature": 0, "avg_logprob": -0.11829847961891699, "compression_ratio": 1.2261146496815287, "no_speech_prob": 1.2228818652149087e-11}, {"id": 2, "seek": 5824, "start": 58.24, "end": 78.4, "text": "好,下面我就带你来了解如何使用CC Switch。我们通过如下的三步来确保我们正确的设置了CC Switch。最终让Cloud Code可以正常的使用第三方。第一步是确保当前Cloud Code是没有可用第三方模型的。", "tokens": [50365, 2131, 11, 47150, 22020, 4845, 99, 2166, 34912, 17278, 43526, 22982, 9254, 11717, 13893, 1543, 15003, 19550, 16866, 8238, 4438, 1546, 10960, 31429, 6912, 38114, 106, 24302, 15003, 15789, 38114, 106, 1546, 7422, 122, 34719, 2289, 11717, 13893, 1543, 8661, 10115, 230, 33650, 32787, 15549, 6723, 15789, 11279, 1546, 22982, 9254, 35878, 9249, 1543, 18049, 31429, 1541, 38114, 106, 24302, 16233, 8945, 32787, 15549, 1541, 17944, 4429, 9254, 35878, 9249, 41908, 39823, 1546, 1543, 51373], "temperature": 0, "avg_logprob": -0.07051259432083522, "compression_ratio": 1.245, "no_speech_prob": 1.9078485319345972e-11}, {"id": 3, "seek": 7840, "start": 78.4, "end": 93.4, "text": "第二步是配置CC Switch。这里包括三个小步骤,分别是1比下载CC Switch,2比以KIMI为例子,选择LM服务商。三篇写KIMI提供的API URL和API KE。", "tokens": [50365, 19693, 31429, 1541, 38846, 34719, 11717, 13893, 1543, 35102, 41828, 10960, 7549, 7322, 31429, 49657, 97, 11, 6627, 18453, 1541, 16, 11706, 4438, 17819, 121, 11717, 13893, 11, 17, 11706, 3588, 42, 6324, 40, 13992, 17797, 7626, 11, 2215, 231, 6852, 102, 43, 44, 27408, 5087, 94, 45581, 1543, 10960, 20878, 229, 5676, 247, 42, 6324, 40, 20949, 3254, 249, 1546, 4715, 40, 12905, 12565, 4715, 40, 21887, 1543, 51115], "temperature": 0, "avg_logprob": -0.11527322743036976, "compression_ratio": 1.005952380952381, "no_speech_prob": 1.796368956363814e-11}, {"id": 4, "seek": 9340, "start": 93.4, "end": 98.4, "text": "最后一步是验证Cloud Code是否可以正常使用KIMI 2.6模型了。", "tokens": [50365, 8661, 13547, 2257, 31429, 1541, 49657, 234, 5233, 223, 32787, 15549, 1541, 45334, 6723, 15789, 11279, 22982, 9254, 42, 6324, 40, 568, 13, 21, 41908, 39823, 2289, 1543, 50615], "temperature": 0, "avg_logprob": -0.1347813874148251, "compression_ratio": 1.1666666666666667, "no_speech_prob": 2.4440390683500013e-11}, {"id": 5, "seek": 9340, "start": 98.4, "end": 103.4, "text": "好,我们开始执行第一步,确保Cloud Code是没有可用模型的。", "tokens": [50615, 2131, 11, 15003, 45213, 3416, 100, 8082, 18049, 31429, 11, 38114, 106, 24302, 32787, 15549, 1541, 17944, 4429, 9254, 41908, 39823, 1546, 1543, 50865], "temperature": 0, "avg_logprob": -0.1347813874148251, "compression_ratio": 1.1666666666666667, "no_speech_prob": 2.4440390683500013e-11}, {"id": 6, "seek": 9340, "start": 103.4, "end": 106.4, "text": "我们现在输入Cloud Code回车。", "tokens": [50865, 15003, 25040, 9830, 241, 14028, 32787, 15549, 8350, 17819, 99, 1543, 51015], "temperature": 0, "avg_logprob": -0.1347813874148251, "compression_ratio": 1.1666666666666667, "no_speech_prob": 2.4440390683500013e-11}, {"id": 7, "seek": 9340, "start": 106.4, "end": 112.4, "text": "然后现在它是要让我们选择登录方法。", "tokens": [51015, 26636, 25040, 11284, 1541, 4275, 33650, 15003, 2215, 231, 6852, 102, 25874, 7391, 243, 9249, 11148, 1543, 51315], "temperature": 0, "avg_logprob": -0.1347813874148251, "compression_ratio": 1.1666666666666667, "no_speech_prob": 2.4440390683500013e-11}, {"id": 8, "seek": 11240, "start": 112.4, "end": 115.4, "text": "是要让我们选择登录方法。", "tokens": [50365, 1541, 4275, 33650, 15003, 2215, 231, 6852, 102, 25874, 7391, 243, 9249, 11148, 1543, 50515], "temperature": 0, "avg_logprob": -0.21725886008318732, "compression_ratio": 1.1180124223602483, "no_speech_prob": 3.3529051063352355e-11}, {"id": 9, "seek": 11240, "start": 115.4, "end": 121.4, "text": "我们现在不需要登录,然后我们先禁掉登录。", "tokens": [50515, 15003, 25040, 1960, 35748, 25874, 7391, 243, 11, 26636, 15003, 10108, 18614, 223, 29327, 25874, 7391, 243, 1543, 50815], "temperature": 0, "avg_logprob": -0.21725886008318732, "compression_ratio": 1.1180124223602483, "no_speech_prob": 3.3529051063352355e-11}, {"id": 10, "seek": 11240, "start": 121.4, "end": 127.4, "text": "我们去输入这个。", "tokens": [50815, 15003, 6734, 9830, 241, 14028, 15368, 1543, 51115], "temperature": 0, "avg_logprob": -0.21725886008318732, "compression_ratio": 1.1180124223602483, "no_speech_prob": 3.3529051063352355e-11}, {"id": 11, "seek": 11240, "start": 127.4, "end": 137.4, "text": "Has completed our boarding,然后设置为True,然后回车。", "tokens": [51115, 39, 296, 7365, 527, 30528, 11, 26636, 7422, 122, 34719, 13992, 14252, 622, 11, 26636, 8350, 17819, 99, 1543, 51615], "temperature": 0, "avg_logprob": -0.21725886008318732, "compression_ratio": 1.1180124223602483, "no_speech_prob": 3.3529051063352355e-11}, {"id": 12, "seek": 13740, "start": 137.4, "end": 140.4, "text": "这样之后我们就。", "tokens": [50365, 21209, 9574, 13547, 15003, 3111, 1543, 50515], "temperature": 0, "avg_logprob": -0.17386514237783487, "compression_ratio": 1.2843137254901962, "no_speech_prob": 2.3141776689383775e-11}, {"id": 13, "seek": 13740, "start": 140.4, "end": 144.4, "text": "好,我们现在输入你好。", "tokens": [50515, 2131, 11, 15003, 25040, 9830, 241, 14028, 26410, 1543, 50715], "temperature": 0, "avg_logprob": -0.17386514237783487, "compression_ratio": 1.2843137254901962, "no_speech_prob": 2.3141776689383775e-11}, {"id": 14, "seek": 13740, "start": 144.4, "end": 146.4, "text": "好,提示我们没有登录。", "tokens": [50715, 2131, 11, 20949, 25696, 15003, 17944, 25874, 7391, 243, 1543, 50815], "temperature": 0, "avg_logprob": -0.17386514237783487, "compression_ratio": 1.2843137254901962, "no_speech_prob": 2.3141776689383775e-11}, {"id": 15, "seek": 13740, "start": 146.4, "end": 150.4, "text": "就是现在我们是没登录,也没有可用的模型的。", "tokens": [50815, 5620, 25040, 15003, 1541, 10062, 25874, 7391, 243, 11, 6404, 17944, 4429, 9254, 1546, 41908, 39823, 1546, 1543, 51015], "temperature": 0, "avg_logprob": -0.17386514237783487, "compression_ratio": 1.2843137254901962, "no_speech_prob": 2.3141776689383775e-11}, {"id": 16, "seek": 13740, "start": 150.4, "end": 154.4, "text": "好,我们先进入这个github.com。", "tokens": [51015, 2131, 11, 15003, 10108, 36700, 14028, 15368, 70, 355, 836, 13, 1112, 1543, 51215], "temperature": 0, "avg_logprob": -0.17386514237783487, "compression_ratio": 1.2843137254901962, "no_speech_prob": 2.3141776689383775e-11}, {"id": 17, "seek": 13740, "start": 154.4, "end": 159.4, "text": "我们点击搜索,输入CESA Switch。", "tokens": [51215, 15003, 12579, 6336, 119, 162, 14987, 7732, 95, 11, 9830, 241, 14028, 34, 2358, 32, 13893, 1543, 51465], "temperature": 0, "avg_logprob": -0.17386514237783487, "compression_ratio": 1.2843137254901962, "no_speech_prob": 2.3141776689383775e-11}, {"id": 18, "seek": 13740, "start": 159.4, "end": 161.4, "text": "然后回车。", "tokens": [51465, 26636, 8350, 17819, 99, 1543, 51565], "temperature": 0, "avg_logprob": -0.17386514237783487, "compression_ratio": 1.2843137254901962, "no_speech_prob": 2.3141776689383775e-11}, {"id": 19, "seek": 13740, "start": 161.4, "end": 164.4, "text": "这一个CESA Switch。", "tokens": [51565, 5562, 20182, 34, 2358, 32, 13893, 1543, 51715], "temperature": 0, "avg_logprob": -0.17386514237783487, "compression_ratio": 1.2843137254901962, "no_speech_prob": 2.3141776689383775e-11}, {"id": 20, "seek": 16440, "start": 164.4, "end": 166.4, "text": "然后我们点击进来。", "tokens": [50365, 26636, 15003, 12579, 6336, 119, 36700, 6912, 1543, 50465], "temperature": 0, "avg_logprob": -0.20856965671886096, "compression_ratio": 1.1502890173410405, "no_speech_prob": 1.8199195622736752e-11}, {"id": 21, "seek": 16440, "start": 166.4, "end": 168.4, "text": "到这个右边。", "tokens": [50465, 4511, 15368, 22060, 40503, 1543, 50565], "temperature": 0, "avg_logprob": -0.20856965671886096, "compression_ratio": 1.1502890173410405, "no_speech_prob": 1.8199195622736752e-11}, {"id": 22, "seek": 16440, "start": 168.4, "end": 170.4, "text": "Renuse。", "tokens": [50565, 49, 268, 438, 1543, 50665], "temperature": 0, "avg_logprob": -0.20856965671886096, "compression_ratio": 1.1502890173410405, "no_speech_prob": 1.8199195622736752e-11}, {"id": 23, "seek": 16440, "start": 170.4, "end": 171.4, "text": "再滚动到下面。", "tokens": [50665, 8623, 15868, 248, 34961, 4511, 47150, 1543, 50715], "temperature": 0, "avg_logprob": -0.20856965671886096, "compression_ratio": 1.1502890173410405, "no_speech_prob": 1.8199195622736752e-11}, {"id": 24, "seek": 16440, "start": 171.4, "end": 178.4, "text": "然后在这里选择对应的操作系统进行下载。", "tokens": [50715, 26636, 3581, 35102, 2215, 231, 6852, 102, 8713, 44297, 1546, 13167, 235, 11914, 25368, 10115, 253, 36700, 8082, 4438, 17819, 121, 1543, 51065], "temperature": 0, "avg_logprob": -0.20856965671886096, "compression_ratio": 1.1502890173410405, "no_speech_prob": 1.8199195622736752e-11}, {"id": 25, "seek": 16440, "start": 178.4, "end": 181.4, "text": "然后我这里选择下载。", "tokens": [51065, 26636, 1654, 35102, 2215, 231, 6852, 102, 4438, 17819, 121, 1543, 51215], "temperature": 0, "avg_logprob": -0.20856965671886096, "compression_ratio": 1.1502890173410405, "no_speech_prob": 1.8199195622736752e-11}, {"id": 26, "seek": 16440, "start": 181.4, "end": 183.4, "text": "Marco's。", "tokens": [51215, 16639, 1291, 311, 1543, 51315], "temperature": 0, "avg_logprob": -0.20856965671886096, "compression_ratio": 1.1502890173410405, "no_speech_prob": 1.8199195622736752e-11}, {"id": 27, "seek": 16440, "start": 183.4, "end": 189.4, "text": "发送完了之后安装。", "tokens": [51315, 28926, 29309, 41665, 9574, 13547, 16206, 8083, 227, 1543, 51615], "temperature": 0, "avg_logprob": -0.20856965671886096, "compression_ratio": 1.1502890173410405, "no_speech_prob": 1.8199195622736752e-11}, {"id": 28, "seek": 18940, "start": 189.4, "end": 196.4, "text": "好,我们现在的这个第一步已经确认了二步的。", "tokens": [50365, 2131, 11, 15003, 25040, 1546, 15368, 18049, 31429, 49161, 38114, 106, 7422, 97, 2289, 11217, 31429, 1546, 1543, 50715], "temperature": 0, "avg_logprob": -0.18266944031217205, "compression_ratio": 1.1875, "no_speech_prob": 1.72987579122319e-11}, {"id": 29, "seek": 18940, "start": 196.4, "end": 198.4, "text": "这个已经下好了。", "tokens": [50715, 15368, 49161, 4438, 12621, 1543, 50815], "temperature": 0, "avg_logprob": -0.18266944031217205, "compression_ratio": 1.1875, "no_speech_prob": 1.72987579122319e-11}, {"id": 30, "seek": 18940, "start": 198.4, "end": 200.4, "text": "然后我们选择。", "tokens": [50815, 26636, 15003, 2215, 231, 6852, 102, 1543, 50915], "temperature": 0, "avg_logprob": -0.18266944031217205, "compression_ratio": 1.1875, "no_speech_prob": 1.72987579122319e-11}, {"id": 31, "seek": 18940, "start": 200.4, "end": 208.4, "text": "然后我们就开始去这个演示一下怎么去设置这个KMI的AL1U和API-K。", "tokens": [50915, 26636, 15003, 3111, 45213, 6734, 15368, 31382, 25696, 8861, 15282, 6734, 7422, 122, 34719, 15368, 42, 13808, 1546, 3427, 16, 52, 12565, 4715, 40, 12, 42, 1543, 51315], "temperature": 0, "avg_logprob": -0.18266944031217205, "compression_ratio": 1.1875, "no_speech_prob": 1.72987579122319e-11}, {"id": 32, "seek": 20840, "start": 208.4, "end": 218.4, "text": "然后我们现在先把这个SwitchWitch打开。", "tokens": [50365, 26636, 15003, 25040, 10108, 16075, 15368, 38373, 1549, 54, 1549, 12467, 18937, 1543, 50865], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 33, "seek": 20840, "start": 218.4, "end": 220.4, "text": "好,现在我们打开了。", "tokens": [50865, 2131, 11, 25040, 15003, 12467, 18937, 2289, 1543, 50965], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 34, "seek": 20840, "start": 220.4, "end": 223.4, "text": "我们介绍一下这个上面这个Cloud。", "tokens": [50965, 15003, 30312, 10115, 235, 8861, 15368, 49750, 15368, 32787, 1543, 51115], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 35, "seek": 20840, "start": 223.4, "end": 228.4, "text": "上面这个是它支持的AI Agent。", "tokens": [51115, 49750, 15368, 1541, 11284, 35488, 1546, 48698, 27174, 1543, 51365], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 36, "seek": 20840, "start": 228.4, "end": 229.4, "text": "比如这个是OpenAI。", "tokens": [51365, 36757, 15368, 1541, 45569, 48698, 1543, 51415], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 37, "seek": 20840, "start": 229.4, "end": 230.4, "text": "这个是Human。", "tokens": [51415, 15368, 1541, 39, 6829, 1543, 51465], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 38, "seek": 20840, "start": 230.4, "end": 232.4, "text": "这个是OpenCode。", "tokens": [51465, 15368, 1541, 45569, 34, 1429, 1543, 51565], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 39, "seek": 20840, "start": 232.4, "end": 233.4, "text": "这个OpenCloud。", "tokens": [51565, 15368, 45569, 32787, 1543, 51615], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 40, "seek": 20840, "start": 233.4, "end": 234.4, "text": "这个是Harmes。", "tokens": [51615, 15368, 1541, 39, 4452, 279, 1543, 51665], "temperature": 0, "avg_logprob": -0.1848975214464911, "compression_ratio": 1.4277777777777778, "no_speech_prob": 1.4309806811718673e-11}, {"id": 41, "seek": 23440, "start": 234.4, "end": 238.4, "text": "然后点加。", "tokens": [50365, 26636, 12579, 9990, 1543, 50565], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 42, "seek": 23440, "start": 238.4, "end": 241.4, "text": "主要是会针对你选中的这个。", "tokens": [50565, 13557, 4275, 1541, 12949, 25153, 230, 8713, 2166, 2215, 231, 5975, 1546, 15368, 1543, 50715], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 43, "seek": 23440, "start": 241.4, "end": 243.4, "text": "你选中的这个。", "tokens": [50715, 2166, 2215, 231, 5975, 1546, 15368, 1543, 50815], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 44, "seek": 23440, "start": 243.4, "end": 246.4, "text": "比如我们现在选中的AIA行情是Cloud。", "tokens": [50815, 36757, 15003, 25040, 2215, 231, 5975, 1546, 32, 6914, 8082, 10570, 1541, 32787, 1543, 50965], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 45, "seek": 23440, "start": 246.4, "end": 249.4, "text": "针对你选中的这个Cloud来设置。", "tokens": [50965, 25153, 230, 8713, 2166, 2215, 231, 5975, 1546, 15368, 32787, 6912, 7422, 122, 34719, 1543, 51115], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 46, "seek": 23440, "start": 249.4, "end": 253.4, "text": "你要选的这个与大约模型的提供商。", "tokens": [51115, 32085, 2215, 231, 1546, 15368, 940, 236, 3582, 16853, 99, 41908, 39823, 1546, 20949, 3254, 249, 45581, 1543, 51315], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 47, "seek": 23440, "start": 253.4, "end": 255.4, "text": "就这里提供商有很多。", "tokens": [51315, 3111, 35102, 20949, 3254, 249, 45581, 2412, 20778, 1543, 51415], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 48, "seek": 23440, "start": 255.4, "end": 257.4, "text": "比如说这个。", "tokens": [51415, 36757, 8090, 15368, 1543, 51515], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 49, "seek": 23440, "start": 257.4, "end": 259.4, "text": "Gunqualk Code的官方。", "tokens": [51515, 38, 409, 358, 667, 15549, 1546, 31929, 9249, 1543, 51615], "temperature": 0, "avg_logprob": -0.20062508499413206, "compression_ratio": 1.392156862745098, "no_speech_prob": 1.716604462742577e-11}, {"id": 50, "seek": 25940, "start": 259.4, "end": 261.4, "text": "比如说这个。", "tokens": [50365, 36757, 8090, 15368, 1543, 50465], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 51, "seek": 25940, "start": 261.4, "end": 262.4, "text": "这个。", "tokens": [50465, 15368, 1543, 50515], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 52, "seek": 25940, "start": 262.4, "end": 265.4, "text": "深上云。", "tokens": [50515, 24043, 5708, 1369, 239, 1543, 50665], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 53, "seek": 25940, "start": 265.4, "end": 266.4, "text": "这是。", "tokens": [50665, 27455, 1543, 50715], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 54, "seek": 25940, "start": 266.4, "end": 268.4, "text": "规机流动。", "tokens": [50715, 6758, 226, 37960, 27854, 34961, 1543, 50815], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 55, "seek": 25940, "start": 268.4, "end": 270.4, "text": "因为达。", "tokens": [50815, 34627, 9830, 122, 1543, 50915], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 56, "seek": 25940, "start": 270.4, "end": 274.4, "text": "Codex。", "tokens": [50915, 34, 1429, 87, 1543, 51115], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 57, "seek": 25940, "start": 274.4, "end": 275.4, "text": "Deeptake。", "tokens": [51115, 11089, 5250, 619, 1543, 51165], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 58, "seek": 25940, "start": 275.4, "end": 277.4, "text": "GPIPGLM。", "tokens": [51165, 38, 47, 9139, 19440, 44, 1543, 51265], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 59, "seek": 25940, "start": 277.4, "end": 278.4, "text": "这都有。", "tokens": [51265, 5562, 48121, 1543, 51315], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 60, "seek": 25940, "start": 278.4, "end": 281.4, "text": "然后我们选的是这个KMI for coding。", "tokens": [51315, 26636, 15003, 2215, 231, 24620, 15368, 42, 13808, 337, 17720, 1543, 51465], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 61, "seek": 25940, "start": 281.4, "end": 283.4, "text": "我们选中它。", "tokens": [51465, 15003, 2215, 231, 5975, 11284, 1543, 51565], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 62, "seek": 25940, "start": 283.4, "end": 286.4, "text": "然后你看这个就是选中的是KMI for coding。", "tokens": [51565, 26636, 16529, 15368, 5620, 2215, 231, 5975, 24620, 42, 13808, 337, 17720, 1543, 51715], "temperature": 0, "avg_logprob": -0.3181377333037707, "compression_ratio": 1.305084745762712, "no_speech_prob": 1.9573474785428147e-11}, {"id": 63, "seek": 28640, "start": 286.4, "end": 290.4, "text": "然后现在我们关心的是这两个API key。", "tokens": [50365, 26636, 25040, 15003, 28053, 7945, 24620, 5562, 36257, 7549, 4715, 40, 2141, 1543, 50565], "temperature": 0, "avg_logprob": -0.13907827230600212, "compression_ratio": 1.4375, "no_speech_prob": 1.558913068078205e-11}, {"id": 64, "seek": 28640, "start": 290.4, "end": 292.4, "text": "我这个API跟的Point。", "tokens": [50565, 1654, 15368, 4715, 40, 9678, 1546, 18705, 1543, 50665], "temperature": 0, "avg_logprob": -0.13907827230600212, "compression_ratio": 1.4375, "no_speech_prob": 1.558913068078205e-11}, {"id": 65, "seek": 28640, "start": 292.4, "end": 295.4, "text": "API科你默认它已经给你默认带了一个了。", "tokens": [50665, 4715, 40, 42091, 2166, 6173, 246, 7422, 97, 11284, 49161, 23197, 2166, 6173, 246, 7422, 97, 4845, 99, 2289, 20182, 2289, 1543, 50815], "temperature": 0, "avg_logprob": -0.13907827230600212, "compression_ratio": 1.4375, "no_speech_prob": 1.558913068078205e-11}, {"id": 66, "seek": 28640, "start": 295.4, "end": 298.4, "text": "所以我们就不用不用再填了。", "tokens": [50815, 7239, 15003, 3111, 24384, 24384, 8623, 13331, 104, 2289, 1543, 50965], "temperature": 0, "avg_logprob": -0.13907827230600212, "compression_ratio": 1.4375, "no_speech_prob": 1.558913068078205e-11}, {"id": 67, "seek": 28640, "start": 298.4, "end": 300.4, "text": "然后我们只用填API key。", "tokens": [50965, 26636, 15003, 14003, 9254, 13331, 104, 4715, 40, 2141, 1543, 51065], "temperature": 0, "avg_logprob": -0.13907827230600212, "compression_ratio": 1.4375, "no_speech_prob": 1.558913068078205e-11}, {"id": 68, "seek": 28640, "start": 300.4, "end": 307.4, "text": "然后API key的话是你去购买了这个它的服务。", "tokens": [51065, 26636, 4715, 40, 2141, 44575, 1541, 2166, 6734, 18464, 255, 2930, 108, 2289, 15368, 45224, 27408, 5087, 94, 1543, 51415], "temperature": 0, "avg_logprob": -0.13907827230600212, "compression_ratio": 1.4375, "no_speech_prob": 1.558913068078205e-11}, {"id": 69, "seek": 28640, "start": 307.4, "end": 310.4, "text": "购买了KMI的服务它会给你一个API key。", "tokens": [51415, 18464, 255, 2930, 108, 2289, 42, 13808, 1546, 27408, 5087, 94, 11284, 12949, 23197, 2166, 20182, 4715, 40, 2141, 1543, 51565], "temperature": 0, "avg_logprob": -0.13907827230600212, "compression_ratio": 1.4375, "no_speech_prob": 1.558913068078205e-11}, {"id": 70, "seek": 28640, "start": 310.4, "end": 313.4, "text": "然后你就把它填进去就行了。", "tokens": [51565, 26636, 41045, 42061, 13331, 104, 36700, 6734, 3111, 46606, 1543, 51715], "temperature": 0, "avg_logprob": -0.13907827230600212, "compression_ratio": 1.4375, "no_speech_prob": 1.558913068078205e-11}, {"id": 71, "seek": 31340, "start": 313.4, "end": 316.4, "text": "就是这样的。", "tokens": [50365, 5620, 21209, 1546, 1543, 50515], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 72, "seek": 31340, "start": 316.4, "end": 319.4, "text": "就是这样的一个。", "tokens": [50515, 5620, 21209, 1546, 20182, 1543, 50665], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 73, "seek": 31340, "start": 319.4, "end": 322.4, "text": "就是这样的一个。", "tokens": [50665, 5620, 21209, 1546, 20182, 1543, 50815], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 74, "seek": 31340, "start": 322.4, "end": 325.4, "text": "这样的一个东西。", "tokens": [50815, 21209, 1546, 20182, 38409, 16220, 1543, 50965], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 75, "seek": 31340, "start": 325.4, "end": 327.4, "text": "然后你选。", "tokens": [50965, 26636, 2166, 2215, 231, 1543, 51065], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 76, "seek": 31340, "start": 327.4, "end": 328.4, "text": "选一个。", "tokens": [51065, 2215, 231, 20182, 1543, 51115], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 77, "seek": 31340, "start": 328.4, "end": 338.4, "text": "我们拷贝一个。", "tokens": [51115, 15003, 6852, 115, 18464, 251, 20182, 1543, 51615], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 78, "seek": 31340, "start": 338.4, "end": 340.4, "text": "我们拷贝一个。", "tokens": [51615, 15003, 6852, 115, 18464, 251, 20182, 1543, 51715], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 79, "seek": 31340, "start": 340.4, "end": 342.4, "text": "我们把这个API填进来。", "tokens": [51715, 15003, 16075, 15368, 4715, 40, 13331, 104, 36700, 6912, 1543, 51815], "temperature": 0, "avg_logprob": -0.16438279086596344, "compression_ratio": 1.8, "no_speech_prob": 2.5902105113551066e-11}, {"id": 80, "seek": 34240, "start": 342.4, "end": 347.4, "text": "填进来之后我们点填加。", "tokens": [50365, 13331, 104, 36700, 6912, 9574, 13547, 15003, 12579, 13331, 104, 9990, 1543, 50615], "temperature": 0, "avg_logprob": -0.24438769600608132, "compression_ratio": 1.2113821138211383, "no_speech_prob": 2.0582861803841723e-11}, {"id": 81, "seek": 34240, "start": 347.4, "end": 350.4, "text": "然后这个就加进来了。", "tokens": [50615, 26636, 15368, 3111, 9990, 36700, 34912, 1543, 50765], "temperature": 0, "avg_logprob": -0.24438769600608132, "compression_ratio": 1.2113821138211383, "no_speech_prob": 2.0582861803841723e-11}, {"id": 82, "seek": 34240, "start": 350.4, "end": 352.4, "text": "加进来以后我们再把Tainable。", "tokens": [50765, 9990, 36700, 6912, 3588, 13547, 15003, 8623, 16075, 51, 491, 712, 1543, 50865], "temperature": 0, "avg_logprob": -0.24438769600608132, "compression_ratio": 1.2113821138211383, "no_speech_prob": 2.0582861803841723e-11}, {"id": 83, "seek": 34240, "start": 352.4, "end": 357.4, "text": "然后就已经切换到这个KMI for good了。", "tokens": [50865, 26636, 3111, 49161, 23632, 26075, 95, 4511, 15368, 42, 13808, 337, 665, 2289, 1543, 51115], "temperature": 0, "avg_logprob": -0.24438769600608132, "compression_ratio": 1.2113821138211383, "no_speech_prob": 2.0582861803841723e-11}, {"id": 84, "seek": 35740, "start": 357.4, "end": 360.4, "text": "然后我们现在来试一下。", "tokens": [50365, 26636, 15003, 25040, 6912, 5233, 243, 8861, 1543, 50515], "temperature": 0, "avg_logprob": -0.2997132142384847, "compression_ratio": 1.0212765957446808, "no_speech_prob": 1.6000655661541074e-11}, {"id": 85, "seek": 35740, "start": 360.4, "end": 361.4, "text": "看。", "tokens": [50515, 4200, 1543, 50565], "temperature": 0, "avg_logprob": -0.2997132142384847, "compression_ratio": 1.0212765957446808, "no_speech_prob": 1.6000655661541074e-11}, {"id": 86, "seek": 35740, "start": 361.4, "end": 376.4, "text": "已经在开始读取了。", "tokens": [50565, 49161, 3581, 45213, 5233, 119, 29436, 2289, 1543, 51315], "temperature": 0, "avg_logprob": -0.2997132142384847, "compression_ratio": 1.0212765957446808, "no_speech_prob": 1.6000655661541074e-11}, {"id": 87, "seek": 35740, "start": 376.4, "end": 378.4, "text": "你看它已经回答你了。", "tokens": [51315, 16529, 11284, 49161, 8350, 28223, 2166, 2289, 1543, 51415], "temperature": 0, "avg_logprob": -0.2997132142384847, "compression_ratio": 1.0212765957446808, "no_speech_prob": 1.6000655661541074e-11}, {"id": 88, "seek": 37840, "start": 378.4, "end": 380.4, "text": "但是它让我Cloud的Sonic 4.6。", "tokens": [50365, 11189, 11284, 33650, 1654, 32787, 1546, 50, 11630, 1017, 13, 21, 1543, 50465], "temperature": 0, "avg_logprob": -0.43153897453756895, "compression_ratio": 1.2142857142857142, "no_speech_prob": 1.4523045960279646e-11}, {"id": 89, "seek": 37840, "start": 380.4, "end": 383.4, "text": "但其实它不是Claudio的Sonic。", "tokens": [50465, 8395, 41646, 11284, 7296, 34, 7739, 1004, 1546, 50, 11630, 1543, 50615], "temperature": 0, "avg_logprob": -0.43153897453756895, "compression_ratio": 1.2142857142857142, "no_speech_prob": 1.4523045960279646e-11}, {"id": 90, "seek": 37840, "start": 383.4, "end": 384.4, "text": "它是KMI。", "tokens": [50615, 11284, 1541, 42, 13808, 1543, 50665], "temperature": 0, "avg_logprob": -0.43153897453756895, "compression_ratio": 1.2142857142857142, "no_speech_prob": 1.4523045960279646e-11}, {"id": 91, "seek": 37840, "start": 384.4, "end": 386.4, "text": "KMI 2.6。", "tokens": [50665, 42, 13808, 568, 13, 21, 1543, 50765], "temperature": 0, "avg_logprob": -0.43153897453756895, "compression_ratio": 1.2142857142857142, "no_speech_prob": 1.4523045960279646e-11}, {"id": 92, "seek": 37840, "start": 386.4, "end": 389.4, "text": "它之所以说它是这个。", "tokens": [50765, 11284, 9574, 7239, 8090, 11284, 1541, 15368, 1543, 50915], "temperature": 0, "avg_logprob": -0.43153897453756895, "compression_ratio": 1.2142857142857142, "no_speech_prob": 1.4523045960279646e-11}, {"id": 93, "seek": 37840, "start": 389.4, "end": 390.4, "text": "是因为。", "tokens": [50915, 1541, 34627, 1543, 50965], "temperature": 0, "avg_logprob": -0.43153897453756895, "compression_ratio": 1.2142857142857142, "no_speech_prob": 1.4523045960279646e-11}, {"id": 94, "seek": 37840, "start": 390.4, "end": 391.4, "text": "是因为。", "tokens": [50965, 1541, 34627, 1543, 51015], "temperature": 0, "avg_logprob": -0.43153897453756895, "compression_ratio": 1.2142857142857142, "no_speech_prob": 1.4523045960279646e-11}, {"id": 95, "seek": 37840, "start": 391.4, "end": 392.4, "text": "啊。", "tokens": [51015, 4905, 1543, 51065], "temperature": 0, "avg_logprob": -0.43153897453756895, "compression_ratio": 1.2142857142857142, "no_speech_prob": 1.4523045960279646e-11}, {"id": 96, "seek": 39240, "start": 392.4, "end": 398.4, "text": "是因为这个大模型它返回的结果会受它的这个提示词的影响。", "tokens": [50365, 1541, 34627, 15368, 3582, 41908, 39823, 11284, 3316, 242, 8350, 1546, 45641, 9319, 12949, 23151, 45224, 15368, 20949, 25696, 5233, 235, 1546, 16820, 3858, 235, 1543, 50665], "temperature": 0, "avg_logprob": -0.1659847135129182, "compression_ratio": 1.023076923076923, "no_speech_prob": 1.6051814391571106e-11}, {"id": 97, "seek": 39240, "start": 398.4, "end": 401.4, "text": "因为这个Cloud Code它本身会添加了很多。", "tokens": [50665, 34627, 15368, 32787, 15549, 11284, 8802, 19847, 12949, 14176, 119, 9990, 2289, 20778, 1543, 50815], "temperature": 0, "avg_logprob": -0.1659847135129182, "compression_ratio": 1.023076923076923, "no_speech_prob": 1.6051814391571106e-11}, {"id": 98, "seek": 40140, "start": 401.4, "end": 403.4, "text": "它的一些信息。", "tokens": [50365, 45224, 38515, 17665, 26460, 1543, 50465], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 99, "seek": 40140, "start": 403.4, "end": 407.4, "text": "然后就让大模型它以为它是Cloud上来的。", "tokens": [50465, 26636, 3111, 33650, 3582, 41908, 39823, 11284, 3588, 13992, 11284, 1541, 32787, 5708, 6912, 1546, 1543, 50665], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 100, "seek": 40140, "start": 407.4, "end": 408.4, "text": "其实不是。", "tokens": [50665, 41646, 7296, 1543, 50715], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 101, "seek": 40140, "start": 408.4, "end": 410.4, "text": "其实它是KMI 2.6。", "tokens": [50715, 41646, 11284, 1541, 42, 13808, 568, 13, 21, 1543, 50815], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 102, "seek": 40140, "start": 410.4, "end": 411.4, "text": "所以这个不重要。", "tokens": [50815, 7239, 15368, 1960, 24928, 1543, 50865], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 103, "seek": 40140, "start": 411.4, "end": 413.4, "text": "总之我们现在就已经。", "tokens": [50865, 33440, 9574, 15003, 25040, 3111, 49161, 1543, 50965], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 104, "seek": 40140, "start": 413.4, "end": 414.4, "text": "之前不行。", "tokens": [50965, 32442, 24151, 1543, 51015], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 105, "seek": 40140, "start": 414.4, "end": 416.4, "text": "然后我们现在切换到KMI之后。", "tokens": [51015, 26636, 15003, 25040, 23632, 26075, 95, 4511, 42, 13808, 9574, 13547, 1543, 51115], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 106, "seek": 40140, "start": 416.4, "end": 418.4, "text": "然后我们就可以正常使用。", "tokens": [51115, 26636, 15003, 36781, 15789, 11279, 22982, 9254, 1543, 51215], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 107, "seek": 40140, "start": 418.4, "end": 423.4, "text": "正常使用这个外部的第三方的这个单元模型了。", "tokens": [51215, 15789, 11279, 22982, 9254, 15368, 12022, 13470, 1546, 35878, 9249, 1546, 15368, 47446, 14812, 41908, 39823, 2289, 1543, 51465], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 108, "seek": 40140, "start": 423.4, "end": 423.4, "text": "", "tokens": [], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11, "words": []}, {"id": 109, "seek": 40140, "start": 423.4, "end": 426.4, "text": "我们就可以做我们想做的事情。", "tokens": [51465, 15003, 36781, 10907, 15003, 7093, 10907, 1546, 24675, 1543, 51615], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 110, "seek": 40140, "start": 426.4, "end": 427.4, "text": "好。", "tokens": [51615, 2131, 1543, 51665], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 111, "seek": 40140, "start": 427.4, "end": 428.4, "text": "就是这一步我们验证了。", "tokens": [51665, 5620, 5562, 2257, 31429, 15003, 49657, 234, 5233, 223, 2289, 1543, 51715], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 112, "seek": 40140, "start": 428.4, "end": 429.4, "text": "这两步也结束了。", "tokens": [51715, 5562, 36257, 31429, 6404, 45641, 44320, 2289, 1543, 51765], "temperature": 0, "avg_logprob": -0.07869064331054687, "compression_ratio": 1.4641638225255973, "no_speech_prob": 1.6150112497337332e-11}, {"id": 113, "seek": 42940, "start": 429.4, "end": 431.4, "text": "我们就要做我们的这个节目也结束了。", "tokens": [50365, 15003, 3111, 4275, 10907, 15003, 1546, 15368, 45161, 11386, 6404, 45641, 44320, 2289, 1543, 50465], "temperature": 0, "avg_logprob": -1.2714817944694967, "compression_ratio": 0.85, "no_speech_prob": 2.5677498322052017e-11}], "language": "zh"}