Embeddings
<p>[TOC]</p>
<h5>简要描述</h5>
<ul>
<li>向量模型接口</li>
</ul>
<h5>请求URL</h5>
<ul>
<li><code>https://api.hellogptworld.com/v1/embeddings</code></li>
</ul>
<h5>请求方式</h5>
<ul>
<li>POST </li>
</ul>
<h5>请求头信息</h5>
<ul>
<li>Content-Type: application/json</li>
<li>Authorization: Bearer 密钥信息 (你的密钥,在 [api对接](<a href="https://vip.hellogptworld.com/api">https://vip.hellogptworld.com/api</a> "api对接") 中查看)</li>
</ul>
<h5>请求参数说明</h5>
<table>
<thead>
<tr>
<th style="text-align: left;">参数名</th>
<th style="text-align: left;">必选</th>
<th style="text-align: left;">类型</th>
<th>说明</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align: left;">model</td>
<td style="text-align: left;">是</td>
<td style="text-align: left;">string</td>
<td>支持的模型:text-embedding-ada-002、text-embedding-3-small、text-embedding-3-large</td>
</tr>
<tr>
<td style="text-align: left;">input</td>
<td style="text-align: left;">是</td>
<td style="text-align: left;">string或array</td>
<td>要嵌入的输入文本,编码为字符串或标记数组。要在单个请求中嵌入多个输入,请传递字符串数组。输入不得超过模型的最大输入标记(为 8192 tokens),不能为空字符串,并且任何数组的维度都必须为 2048 或更少</td>
</tr>
<tr>
<td style="text-align: left;">encoding_format</td>
<td style="text-align: left;">否</td>
<td style="text-align: left;">string</td>
<td>返回嵌入的格式。可以是float或base64,默认为float</td>
</tr>
<tr>
<td style="text-align: left;">dimensions</td>
<td style="text-align: left;">否</td>
<td style="text-align: left;">int</td>
<td>生成的输出嵌入应具有的维数。仅在text-embedding-3及更高版本的模型中受支持</td>
</tr>
<tr>
<td style="text-align: left;">user</td>
<td style="text-align: left;">否</td>
<td style="text-align: left;">string</td>
<td>当前请求用户标识,业务方自行生成,最大64个字符,可以帮助OpenAI监控和检测滥用行为</td>
</tr>
</tbody>
</table>
<h5>请求示例</h5>
<pre><code>{
&quot;model&quot;:&quot;text-embedding-ada-002&quot;,
&quot;user&quot;:&quot;d7e68cb9-f494-4d78-89ce-735eeab4b107&quot;,
&quot;input&quot;: &quot;你是谁&quot;,
&quot;encoding_format&quot;:&quot;float&quot;
}</code></pre>
<h5>返回示例</h5>
<pre><code>{
&quot;data&quot;: [{
&quot;embedding&quot;: [0.0038637246, -0.016456354, 0.028257292, -0.022343291, -0.031748854, 0.0034560375, -0.02651151, -0.008532674, -0.0062117325, -0.012349032, 0.006316615, 0.007856014, 0.0012416699, -0.0023260163, -0.007294387, -0.012619696, 0.035727613, -0.0035186284, 0.028663289, -0.018959993, -0.008167278, 0.014927104, -0.009337898, 0.0073079206, -0.0032192066, 0.012044536, 0.032939773, -0.012734728, -0.008613873, -0.028582089, 0.01817507, -0.020205047, -0.003525395, -0.022559822, -0.017606676, -7.392503E-4, -0.0058801696, -0.0041479217, 0.030422602, 0.00800488, 0.0075244512, 0.006401197, -0.011225778, 0.0061880494, -0.012031002, 0.00490578, -0.034672022, -0.011665606, -0.023764275, 0.03126166, 1.2222158E-4, 0.01261293, 0.0017440893, -0.009987491, -0.014859438, -0.010420553, -0.0118618375, 0.010535586, -0.030747399, -0.020651642, -0.003126166, 0.013709118, -0.034428425, -0.0066008116, 0.007781582, 0.004804281, 0.012897126, 2.3788803E-4, 0.009276999, -2.2097156E-4, 0.00798458, 0.02323648, 8.5597404E-4, 0.01072505, 0.041249152, -0.026322046, -0.026064916, 0.019812584, -0.011834771, -0.0013829224, 0.025821319, -0.03199245, -0.020245647, 0.0041140886, 0.007598884, 0.008525907, -0.017593142, 0.032669112, -0.043468595, -0.017647274, 0.014548175, 0.0072740875, 0.027431767, 0.032127783, 0.0059478353, 0.033481102, -0.020029115, 0.010136357, -0.016984148, -0.011787405, 0.010034857, -0.009926592, -0.026822776, -0.0071725887, 0.0029316265, 0.019162992, -0.0028199777, -0.00705079, 0.049206663, 0.009222866, -0.019162992, 0.010481453, 0.013309889, -0.044713646, -0.021639565, -0.014764706, -0.0029502346, -9.66777E-4, -0.0066008116, -0.015766162, -0.0025932968, -0.0045234673, -0.01779614, -0.025334124, 0.026470913, 0.013370788, -0.004743382, -0.005568906, 0.0020807274, 0.0013431687, 0.019609587, 0.0011968411, -0.0039313906, 0.010041624, -0.0125993965, 0.021098237, -0.01588796, -0.005217043, -0.014859438, -0.00949353, -0.0093784975, 0.013634685, 0.008194344, -0.015915027, 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-0.02073284, 0.008458241, 0.005474174, -0.010772416],
&quot;index&quot;: 0,
&quot;object&quot;: &quot;embedding&quot;
}],
&quot;model&quot;: &quot;text-embedding-ada-002&quot;,
&quot;object&quot;: &quot;list&quot;,
&quot;usage&quot;: {
&quot;prompt_tokens&quot;: 4,
&quot;total_tokens&quot;: 4
}
}</code></pre>
<h5>异常返回示例</h5>
<pre><code>
// 密钥没传
{
&quot;error&quot;: {
&quot;message&quot;: &quot;You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://vip.gptchatclub.com/api.&quot;,
&quot;type&quot;: &quot;talk_api_error&quot;,
&quot;param&quot;: null,
&quot;code&quot;: &quot;invalid_api_key&quot;
}
}
// 密钥传的不对
{
&quot;error&quot;: {
&quot;message&quot;: &quot;Incorrect API key provided: sk-1afsp*****************************************k5R2. You can find your API key at https://vip.gptchatclub.com/api.&quot;,
&quot;type&quot;: &quot;invalid_request_error&quot;,
&quot;param&quot;: null,
&quot;code&quot;: &quot;invalid_api_key&quot;
}
}
// 模型不对
{
&quot;error&quot;: {
&quot;message&quot;: &quot;Unsupported model.&quot;,
&quot;type&quot;: &quot;talk_api_error&quot;,
&quot;param&quot;: null,
&quot;code&quot;: &quot;invalid_model&quot;
}
}
// 余额不足
{
&quot;error&quot;: {
&quot;message&quot;: &quot;User quota is not enough.&quot;,
&quot;type&quot;: &quot;talk_api_error&quot;,
&quot;param&quot;: null,
&quot;code&quot;: &quot;insufficient_user_quota&quot;
}
}
// 对话信息没传或者传null
{
&quot;error&quot;: {
&quot;message&quot;: &quot;Unsupported messages.&quot;,
&quot;type&quot;: &quot;talk_api_error&quot;,
&quot;param&quot;: null,
&quot;code&quot;: &quot;invalid_messages&quot;
}
}
// 服务内部错误
{
&quot;error&quot;: {
&quot;message&quot;: &quot;Internal server error.&quot;,
&quot;type&quot;: &quot;talk_api_error&quot;,
&quot;param&quot;: null,
&quot;code&quot;: &quot;internal_error&quot;
}
}</code></pre>
<h5>返回参数说明</h5>
<table>
<thead>
<tr>
<th style="text-align: left;">参数名</th>
<th style="text-align: left;">类型</th>
<th>说明</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align: left;">data</td>
<td style="text-align: left;">string</td>
<td>回复内容</td>
</tr>
<tr>
<td style="text-align: left;">object</td>
<td style="text-align: left;">string</td>
<td>类名</td>
</tr>
<tr>
<td style="text-align: left;">model</td>
<td style="text-align: left;">string</td>
<td>模型</td>
</tr>
<tr>
<td style="text-align: left;">usage</td>
<td style="text-align: left;">object</td>
<td>官方本次对话统计的token信息</td>
</tr>
</tbody>
</table>
<p>usage字段说明</p>
<table>
<thead>
<tr>
<th style="text-align: left;">参数名</th>
<th style="text-align: left;">类型</th>
<th>说明</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align: left;">prompt_tokens</td>
<td style="text-align: left;">int</td>
<td>用户输入问题的token数量</td>
</tr>
<tr>
<td style="text-align: left;">total_tokens</td>
<td style="text-align: left;">int</td>
<td>总token数量</td>
</tr>
</tbody>
</table>
<p>data字段说明</p>
<table>
<thead>
<tr>
<th style="text-align: left;">参数名</th>
<th style="text-align: left;">类型</th>
<th>说明</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align: left;">embedding</td>
<td style="text-align: left;">array</td>
<td>具体内容</td>
</tr>
<tr>
<td style="text-align: left;">index</td>
<td style="text-align: left;">int</td>
<td>索引</td>
</tr>
<tr>
<td style="text-align: left;">object</td>
<td style="text-align: left;">string</td>
<td>类名</td>
</tr>
</tbody>
</table>
<h5>备注</h5>
<ul>
<li>暂无</li>
</ul>