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],\n",[865,1112,1114,1116,1118,1120],{"class":867,"line":1113},13,[865,1115,972],{"class":871},[865,1117,900],{"class":975},[865,1119,978],{"class":871},[865,1121,1002],{"class":871},[865,1123,1125],{"class":867,"line":1124},14,[865,1126,1008],{"class":871},[865,1128,1130,1132,1135,1137,1139,1141,1143,1145],{"class":867,"line":1129},15,[865,1131,1014],{"class":871},[865,1133,1134],{"class":975},"speaker",[865,1136,978],{"class":871},[865,1138,981],{"class":871},[865,1140,978],{"class":871},[865,1142,1026],{"class":879},[865,1144,978],{"class":871},[865,1146,990],{"class":871},[865,1148,1150,1152,1155,1157,1159,1161,1164],{"class":867,"line":1149},16,[865,1151,1014],{"class":871},[865,1153,1154],{"class":975},"text",[865,1156,978],{"class":871},[865,1158,981],{"class":871},[865,1160,978],{"class":871},[865,1162,1163],{"class":879},"诶，我最近看了一篇讲人工智能的文章，还挺有意思的，想跟你聊聊。",[865,1165,1049],{"class":871},[865,1167,1169],{"class":867,"line":1168},17,[865,1170,1055],{"class":871},[865,1172,1174],{"class":867,"line":1173},18,[865,1175,1008],{"class":871},[865,1177,1179,1181,1183,1185,1187,1189,1191,1193],{"class":867,"line":1178},19,[865,1180,1014],{"class":871},[865,1182,1134],{"class":975},[865,1184,978],{"class":871},[865,1186,981],{"class":871},[865,1188,978],{"class":871},[865,1190,1076],{"class":879},[865,1192,978],{"class":871},[865,1194,990],{"class":871},[865,1196,1198,1200,1202,1204,1206,1208,1211],{"class":867,"line":1197},20,[865,1199,1014],{"class":871},[865,1201,1154],{"class":975},[865,1203,978],{"class":871},[865,1205,981],{"class":871},[865,1207,978],{"class":871},[865,1209,1210],{"class":879},"哦？是吗，关于啥的啊？又是哪个公司发了什么逆天的新模型吗？",[865,1212,1049],{"class":871},[865,1214,1216],{"class":867,"line":1215},21,[865,1217,1104],{"class":871},[865,1219,1221],{"class":867,"line":1220},22,[865,1222,1110],{"class":871},[865,1224,1226,1228,1231,1233,1235,1237,1240,1242],{"class":867,"line":1225},23,[865,1227,972],{"class":871},[865,1229,1230],{"class":975},"response_format",[865,1232,978],{"class":871},[865,1234,981],{"class":871},[865,1236,978],{"class":871},[865,1238,1239],{"class":879},"wav",[865,1241,978],{"class":871},[865,1243,990],{"class":871},[865,1245,1247,1249,1251,1253,1255,1257,1260],{"class":867,"line":1246},24,[865,1248,972],{"class":871},[865,1250,904],{"class":975},[865,1252,978],{"class":871},[865,1254,981],{"class":871},[865,1256,978],{"class":871},[865,1258,1259],{"class":879},"audio",[865,1261,1049],{"class":871},[865,1263,1265],{"class":867,"line":1264},25,[865,1266,1267],{"class":871},"}\n",[837,1269,1271,1280],{"title":1270},"发起第一次请求",[821,1272,1273,1274,1276,1277,1279],{},"向当前场景的 endpoint 发起请求。同步请求按 ",[862,1275,904],{}," 返回音频二进制或包含结果 URL 的 JSON；",[862,1278,908],{}," 时立即返回任务对象。",[1281,1282,1284,1491,1921],"api-example",{"ariaLabel":1283,"copy-error-label":683,"copy-label":851,"copy-success-label":852},"代码示例",[1285,1286,1289],"mosi-tab",{"label":1287,"value":1288},"cURL","curl",[856,1290,1292],{"className":858,"code":1291,"language":853,"meta":860,"style":860},"curl --fail-with-body -sS -X POST \"https:\u002F\u002Fapi.mosi.cn\u002Fv1\u002Faudio\u002Fspeech\u002Fspeakers\" \\\n-H \"Authorization: Bearer $MOSS_API_KEY\" \\\n-H \"Platform: moss-platform\" \\\n-H \"Content-Type: application\u002Fjson\" \\\n-d '{\n\"model\": \"moss-ttsd-1.0\",\n\"speakers\": [\n{\n\"id\": \"speaker_a\",\n\"voice_id\": \"7e5020e3-b88e-4271-a996-2908a182dd32\"\n},\n{\n\"id\": \"speaker_b\",\n\"voice_id\": \"2925f9ce-75af-4354-8757-b52c3e541e8c\"\n}\n],\n\"segments\": [\n{\n\"speaker\": \"speaker_a\",\n\"text\": \"诶，我最近看了一篇讲人工智能的文章，还挺有意思的，想跟你聊聊。\"\n},\n{\n\"speaker\": \"speaker_b\",\n\"text\": \"哦？是吗，关于啥的啊？又是哪个公司发了什么逆天的新模型吗？\"\n}\n],\n\"response_format\": \"wav\",\n\"delivery_method\": \"audio\"\n}'\n",[862,1293,1294,1321,1336,1349,1362,1372,1377,1382,1386,1391,1396,1401,1405,1410,1415,1419,1424,1429,1433,1438,1443,1447,1451,1456,1461,1465,1470,1476,1482],{"__ignoreMap":860},[865,1295,1296,1298,1301,1304,1307,1310,1313,1316,1318],{"class":867,"line":868},[865,1297,1288],{"class":875},[865,1299,1300],{"class":975}," --fail-with-body",[865,1302,1303],{"class":975}," -sS",[865,1305,1306],{"class":975}," -X",[865,1308,1309],{"class":879}," POST",[865,1311,1312],{"class":871}," \"",[865,1314,1315],{"class":879},"https:\u002F\u002Fapi.mosi.cn\u002Fv1\u002Faudio\u002Fspeech\u002Fspeakers",[865,1317,978],{"class":871},[865,1319,1320],{"class":879}," \\\n",[865,1322,1323,1326,1328,1331,1334],{"class":867,"line":969},[865,1324,1325],{"class":871},"-H ",[865,1327,978],{"class":871},[865,1329,1330],{"class":879},"Authorization: Bearer ",[865,1332,1333],{"class":871},"$MOSS_API_KEY\"",[865,1335,1320],{"class":879},[865,1337,1338,1340,1342,1345,1347],{"class":867,"line":993},[865,1339,1325],{"class":871},[865,1341,978],{"class":871},[865,1343,1344],{"class":879},"Platform: moss-platform",[865,1346,978],{"class":871},[865,1348,1320],{"class":879},[865,1350,1351,1353,1355,1358,1360],{"class":867,"line":1005},[865,1352,1325],{"class":871},[865,1354,978],{"class":871},[865,1356,1357],{"class":879},"Content-Type: application\u002Fjson",[865,1359,978],{"class":871},[865,1361,1320],{"class":879},[865,1363,1364,1367,1370],{"class":867,"line":1011},[865,1365,1366],{"class":871},"-d ",[865,1368,1369],{"class":871},"'",[865,1371,966],{"class":879},[865,1373,1374],{"class":867,"line":1033},[865,1375,1376],{"class":879},"\"model\": \"moss-ttsd-1.0\",\n",[865,1378,1379],{"class":867,"line":1052},[865,1380,1381],{"class":879},"\"speakers\": [\n",[865,1383,1384],{"class":867,"line":1058},[865,1385,966],{"class":879},[865,1387,1388],{"class":867,"line":1063},[865,1389,1390],{"class":879},"\"id\": \"speaker_a\",\n",[865,1392,1393],{"class":867,"line":1083},[865,1394,1395],{"class":879},"\"voice_id\": \"7e5020e3-b88e-4271-a996-2908a182dd32\"\n",[865,1397,1398],{"class":867,"line":1101},[865,1399,1400],{"class":879},"},\n",[865,1402,1403],{"class":867,"line":1107},[865,1404,966],{"class":879},[865,1406,1407],{"class":867,"line":1113},[865,1408,1409],{"class":879},"\"id\": \"speaker_b\",\n",[865,1411,1412],{"class":867,"line":1124},[865,1413,1414],{"class":879},"\"voice_id\": \"2925f9ce-75af-4354-8757-b52c3e541e8c\"\n",[865,1416,1417],{"class":867,"line":1129},[865,1418,1267],{"class":879},[865,1420,1421],{"class":867,"line":1149},[865,1422,1423],{"class":879},"],\n",[865,1425,1426],{"class":867,"line":1168},[865,1427,1428],{"class":879},"\"segments\": [\n",[865,1430,1431],{"class":867,"line":1173},[865,1432,966],{"class":879},[865,1434,1435],{"class":867,"line":1178},[865,1436,1437],{"class":879},"\"speaker\": \"speaker_a\",\n",[865,1439,1440],{"class":867,"line":1197},[865,1441,1442],{"class":879},"\"text\": \"诶，我最近看了一篇讲人工智能的文章，还挺有意思的，想跟你聊聊。\"\n",[865,1444,1445],{"class":867,"line":1215},[865,1446,1400],{"class":879},[865,1448,1449],{"class":867,"line":1220},[865,1450,966],{"class":879},[865,1452,1453],{"class":867,"line":1225},[865,1454,1455],{"class":879},"\"speaker\": \"speaker_b\",\n",[865,1457,1458],{"class":867,"line":1246},[865,1459,1460],{"class":879},"\"text\": \"哦？是吗，关于啥的啊？又是哪个公司发了什么逆天的新模型吗？\"\n",[865,1462,1463],{"class":867,"line":1264},[865,1464,1267],{"class":879},[865,1466,1468],{"class":867,"line":1467},26,[865,1469,1423],{"class":879},[865,1471,1473],{"class":867,"line":1472},27,[865,1474,1475],{"class":879},"\"response_format\": \"wav\",\n",[865,1477,1479],{"class":867,"line":1478},28,[865,1480,1481],{"class":879},"\"delivery_method\": \"audio\"\n",[865,1483,1485,1488],{"class":867,"line":1484},29,[865,1486,1487],{"class":879},"}",[865,1489,1490],{"class":871},"'\n",[1285,1492,1495],{"label":1493,"value":1494},"Python","python",[856,1496,1499],{"className":1497,"code":1498,"language":1494,"meta":860,"style":860},"language-python shiki shiki-themes moss-docs-light","import os\nimport requests\n\nresp = requests.post(\n    \"https:\u002F\u002Fapi.mosi.cn\u002Fv1\u002Faudio\u002Fspeech\u002Fspeakers\",\n    headers={\n        \"Authorization\": f\"Bearer {os.environ['MOSS_API_KEY']}\",\n        \"Content-Type\": \"application\u002Fjson\",\n    },\n    json={\n        \"model\": \"moss-ttsd-1.0\",\n        \"speakers\": [\n            {\n                \"id\": \"speaker_a\",\n                \"voice_id\": \"\u003Cspeaker_a_voice_id>\"\n            },\n            {\n                \"id\": \"speaker_b\",\n                \"voice_id\": \"\u003Cspeaker_b_voice_id>\"\n            }\n        ],\n        \"segments\": [\n            {\n                \"speaker\": \"speaker_a\",\n                \"text\": \"你好，我是 A。\"\n            },\n            {\n                \"speaker\": \"speaker_b\",\n                \"text\": \"你好，我是 B。\"\n            }\n        ],\n        \"delivery_method\": \"url\",\n        \"response_format\": \"mp3\"\n    },\n)\n\nprint(resp.status_code)\nprint(resp.json())\n",[862,1500,1501,1509,1516,1522,1533,1544,1553,1592,1612,1616,1625,1643,1653,1658,1677,1694,1699,1703,1721,1738,1743,1748,1758,1762,1780,1797,1801,1805,1823,1840,1845,1850,1870,1888,1893,1899,1904,1913],{"__ignoreMap":860},[865,1502,1503,1506],{"class":867,"line":868},[865,1504,1505],{"class":875},"import",[865,1507,1508],{"class":871}," os\n",[865,1510,1511,1513],{"class":867,"line":969},[865,1512,1505],{"class":875},[865,1514,1515],{"class":871}," requests\n",[865,1517,1518],{"class":867,"line":993},[865,1519,1521],{"emptyLinePlaceholder":1520},true,"\n",[865,1523,1524,1527,1530],{"class":867,"line":1005},[865,1525,1526],{"class":871},"resp ",[865,1528,1529],{"class":875},"=",[865,1531,1532],{"class":871}," requests.post(\n",[865,1534,1535,1538,1540,1542],{"class":867,"line":1011},[865,1536,1537],{"class":871},"    \"",[865,1539,1315],{"class":879},[865,1541,978],{"class":871},[865,1543,990],{"class":871},[865,1545,1546,1549,1551],{"class":867,"line":1033},[865,1547,1548],{"class":871},"    headers",[865,1550,1529],{"class":875},[865,1552,966],{"class":871},[865,1554,1555,1558,1561,1563,1565,1568,1571,1574,1577,1579,1581,1583,1586,1588,1590],{"class":867,"line":1052},[865,1556,1557],{"class":871},"        \"",[865,1559,1560],{"class":879},"Authorization",[865,1562,978],{"class":871},[865,1564,981],{"class":871},[865,1566,1567],{"class":875},"f",[865,1569,1570],{"class":879},"\"Bearer ",[865,1572,1573],{"class":879},"{",[865,1575,1576],{"class":871},"os.environ[",[865,1578,1369],{"class":871},[865,1580,872],{"class":879},[865,1582,1369],{"class":871},[865,1584,1585],{"class":871},"]",[865,1587,1487],{"class":879},[865,1589,978],{"class":879},[865,1591,990],{"class":871},[865,1593,1594,1596,1599,1601,1603,1605,1608,1610],{"class":867,"line":1058},[865,1595,1557],{"class":871},[865,1597,1598],{"class":879},"Content-Type",[865,1600,978],{"class":871},[865,1602,981],{"class":871},[865,1604,978],{"class":871},[865,1606,1607],{"class":879},"application\u002Fjson",[865,1609,978],{"class":871},[865,1611,990],{"class":871},[865,1613,1614],{"class":867,"line":1063},[865,1615,1055],{"class":871},[865,1617,1618,1621,1623],{"class":867,"line":1083},[865,1619,1620],{"class":871},"    json",[865,1622,1529],{"class":875},[865,1624,966],{"class":871},[865,1626,1627,1629,1631,1633,1635,1637,1639,1641],{"class":867,"line":1101},[865,1628,1557],{"class":871},[865,1630,924],{"class":879},[865,1632,978],{"class":871},[865,1634,981],{"class":871},[865,1636,978],{"class":871},[865,1638,830],{"class":879},[865,1640,978],{"class":871},[865,1642,990],{"class":871},[865,1644,1645,1647,1649,1651],{"class":867,"line":1107},[865,1646,1557],{"class":871},[865,1648,892],{"class":879},[865,1650,978],{"class":871},[865,1652,1002],{"class":871},[865,1654,1655],{"class":867,"line":1113},[865,1656,1657],{"class":871},"            {\n",[865,1659,1660,1663,1665,1667,1669,1671,1673,1675],{"class":867,"line":1124},[865,1661,1662],{"class":871},"                \"",[865,1664,1017],{"class":879},[865,1666,978],{"class":871},[865,1668,981],{"class":871},[865,1670,978],{"class":871},[865,1672,1026],{"class":879},[865,1674,978],{"class":871},[865,1676,990],{"class":871},[865,1678,1679,1681,1683,1685,1687,1689,1692],{"class":867,"line":1129},[865,1680,1662],{"class":871},[865,1682,896],{"class":879},[865,1684,978],{"class":871},[865,1686,981],{"class":871},[865,1688,978],{"class":871},[865,1690,1691],{"class":879},"\u003Cspeaker_a_voice_id>",[865,1693,1049],{"class":871},[865,1695,1696],{"class":867,"line":1149},[865,1697,1698],{"class":871},"            },\n",[865,1700,1701],{"class":867,"line":1168},[865,1702,1657],{"class":871},[865,1704,1705,1707,1709,1711,1713,1715,1717,1719],{"class":867,"line":1173},[865,1706,1662],{"class":871},[865,1708,1017],{"class":879},[865,1710,978],{"class":871},[865,1712,981],{"class":871},[865,1714,978],{"class":871},[865,1716,1076],{"class":879},[865,1718,978],{"class":871},[865,1720,990],{"class":871},[865,1722,1723,1725,1727,1729,1731,1733,1736],{"class":867,"line":1178},[865,1724,1662],{"class":871},[865,1726,896],{"class":879},[865,1728,978],{"class":871},[865,1730,981],{"class":871},[865,1732,978],{"class":871},[865,1734,1735],{"class":879},"\u003Cspeaker_b_voice_id>",[865,1737,1049],{"class":871},[865,1739,1740],{"class":867,"line":1197},[865,1741,1742],{"class":871},"            }\n",[865,1744,1745],{"class":867,"line":1215},[865,1746,1747],{"class":871},"        ],\n",[865,1749,1750,1752,1754,1756],{"class":867,"line":1220},[865,1751,1557],{"class":871},[865,1753,900],{"class":879},[865,1755,978],{"class":871},[865,1757,1002],{"class":871},[865,1759,1760],{"class":867,"line":1225},[865,1761,1657],{"class":871},[865,1763,1764,1766,1768,1770,1772,1774,1776,1778],{"class":867,"line":1246},[865,1765,1662],{"class":871},[865,1767,1134],{"class":879},[865,1769,978],{"class":871},[865,1771,981],{"class":871},[865,1773,978],{"class":871},[865,1775,1026],{"class":879},[865,1777,978],{"class":871},[865,1779,990],{"class":871},[865,1781,1782,1784,1786,1788,1790,1792,1795],{"class":867,"line":1264},[865,1783,1662],{"class":871},[865,1785,1154],{"class":879},[865,1787,978],{"class":871},[865,1789,981],{"class":871},[865,1791,978],{"class":871},[865,1793,1794],{"class":879},"你好，我是 A。",[865,1796,1049],{"class":871},[865,1798,1799],{"class":867,"line":1467},[865,1800,1698],{"class":871},[865,1802,1803],{"class":867,"line":1472},[865,1804,1657],{"class":871},[865,1806,1807,1809,1811,1813,1815,1817,1819,1821],{"class":867,"line":1478},[865,1808,1662],{"class":871},[865,1810,1134],{"class":879},[865,1812,978],{"class":871},[865,1814,981],{"class":871},[865,1816,978],{"class":871},[865,1818,1076],{"class":879},[865,1820,978],{"class":871},[865,1822,990],{"class":871},[865,1824,1825,1827,1829,1831,1833,1835,1838],{"class":867,"line":1484},[865,1826,1662],{"class":871},[865,1828,1154],{"class":879},[865,1830,978],{"class":871},[865,1832,981],{"class":871},[865,1834,978],{"class":871},[865,1836,1837],{"class":879},"你好，我是 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shiki shiki-themes moss-docs-light","const response = await fetch(\"https:\u002F\u002Fapi.mosi.cn\u002Fv1\u002Faudio\u002Fspeech\u002Fspeakers\", {\n  method: \"POST\",\n  headers: {\n    Authorization: `Bearer ${process.env.MOSS_API_KEY}`,\n    \"Content-Type\": \"application\u002Fjson\",\n  },\n  body: JSON.stringify({\n  \"model\": \"moss-ttsd-1.0\",\n  \"speakers\": [\n    {\n      \"id\": \"speaker_a\",\n      \"voice_id\": \"\u003Cspeaker_a_voice_id>\"\n    },\n    {\n      \"id\": \"speaker_b\",\n      \"voice_id\": \"\u003Cspeaker_b_voice_id>\"\n    }\n  ],\n  \"segments\": [\n    {\n      \"speaker\": \"speaker_a\",\n      \"text\": \"你好，我是 A。\"\n    },\n    {\n      \"speaker\": \"speaker_b\",\n      \"text\": \"你好，我是 B。\"\n    }\n  ],\n  \"delivery_method\": \"url\",\n  \"response_format\": \"mp3\"\n}),\n});\n\nconsole.log(response.status);\nconsole.log(await 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response.",[865,2322,954],{"class":875},[865,2324,2325],{"class":871},"());\n",[837,2327,2329,2346],{"title":2328},"获取任务结果",[821,2330,2331,2332,2335,2336,2338,2339,2341,2342,2345],{},"使用 ",[862,2333,2334],{},"delivery_method=url"," 同步调用时，从响应 JSON 中读取结果 URL。传入 ",[862,2337,908],{}," 时会返回 ",[862,2340,912],{},"，可通过 ",[862,2343,2344],{},"GET \u002Fv1\u002Faudio\u002Ftasks\u002F{task_id}"," 查询任务结果。",[849,2347,2349],{"copy-error-label":683,"copy-label":851,"copy-success-label":852,"language":853,"title":2348},"查询任务",[856,2350,2352],{"className":858,"code":2351,"language":853,"meta":860,"style":860},"curl https:\u002F\u002Fapi.mosi.cn\u002Fv1\u002Faudio\u002Ftasks\u002F$TASK_ID \\\n  -H \"Authorization: Bearer $MOSS_API_KEY\"\n",[862,2353,2354,2367],{"__ignoreMap":860},[865,2355,2356,2358,2361,2364],{"class":867,"line":868},[865,2357,1288],{"class":875},[865,2359,2360],{"class":879}," https:\u002F\u002Fapi.mosi.cn\u002Fv1\u002Faudio\u002Ftasks\u002F",[865,2362,2363],{"class":871},"$TASK_ID 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Reference 页面。","errors-and-limits",{"path":2456,"title":433,"description":2457,"nav_group":2458,"nav_order":1083,"method":813,"nav_category":813},"\u002Fdocs\u002Fgetting-started\u002Fquickstart","用一个最小请求完成第一次 API 调用，只需准备 API Key 和可用的 voice_id。","getting-started",{"path":2426,"title":2460,"description":2461,"nav_group":2462,"nav_order":1083,"method":813,"nav_category":813},"模型列表","当前模型覆盖语音生成、语音识别、多模态理解、图像生成与实时交互，可使用稳定 model ID 或固定 snapshot 版本。","models",{"path":2464,"title":2465,"description":2466,"nav_group":2467,"nav_order":1083,"method":813,"nav_category":813},"\u002Fdocs\u002Freference","API 概览","查询 Moss API 的 endpoint、请求参数、返回值、流式事件和共享规则。","reference",{"path":2469,"title":2470,"description":2471,"nav_group":2442,"nav_order":1083,"method":813,"nav_category":656},"\u002Fdocs\u002Fscenarios\u002Fsingle-voice","单人语音生成","使用 moss-tts-1.5-flash 将文本合成为单一音色语音；TTS 1.5 Flash 支持在 input 中通过 [pause X.Ys] 控制停顿。",{"path":2473,"title":2474,"description":2475,"nav_group":2454,"nav_order":1083,"method":813,"nav_category":813},"\u002Fen\u002Fdocs\u002Ferrors-and-limits\u002Ferror-codes","Error Codes","Platform-wide error codes are documented here; resource-specific errors remain on the relevant Reference page.",{"path":2477,"title":2478,"description":2479,"nav_group":2458,"nav_order":1083,"method":813,"nav_category":813},"\u002Fen\u002Fdocs\u002Fgetting-started\u002Fquickstart","Quickstart","Make your first API call with a minimal request using an API Key and a valid voice_id.",{"path":2481,"title":2482,"description":2483,"nav_group":2462,"nav_order":1083,"method":813,"nav_category":813},"\u002Fen\u002Fdocs\u002Fmodels","Model List","Current models cover speech generation, speech recognition, multimodal understanding, image generation, and realtime interaction, with stable model IDs and fixed snapshots.",{"path":2485,"title":2486,"description":2487,"nav_group":2467,"nav_order":1083,"method":813,"nav_category":813},"\u002Fen\u002Fdocs\u002Freference","API Overview","Look up Moss API endpoints, request parameters, return values, streaming events, and shared rules.",{"path":2489,"title":2490,"description":2491,"nav_group":2442,"nav_order":1083,"method":813,"nav_category":656},"\u002Fen\u002Fdocs\u002Fscenarios\u002Fsingle-voice","Single-Speaker Speech Generation","Synthesize text with moss-tts-1.5-flash; TTS 1.5 Flash supports [pause X.Ys] in input for pause control.",{"path":2493,"title":2494,"description":2495,"nav_group":2454,"nav_order":1083,"method":813,"nav_category":813},"\u002Fja\u002Fdocs\u002Ferrors-and-limits\u002Ferror-codes","エラーコード","プラットフォーム共通のエラーコードはこのページにまとめています。リソース固有のエラーコードは対応するリファレンスページに記載しています。",{"path":2497,"title":2498,"description":2499,"nav_group":2458,"nav_order":1083,"method":813,"nav_category":813},"\u002Fja\u002Fdocs\u002Fgetting-started\u002Fquickstart","クイックスタート","最小限のリクエストで最初のAPI呼び出しを完了します。必要なのはAPIキーと利用可能なvoice_idだけです。",{"path":2501,"title":2502,"description":2503,"nav_group":2462,"nav_order":1083,"method":813,"nav_category":813},"\u002Fja\u002Fdocs\u002Fmodels","モデル一覧","現在のモデルは音声生成、音声認識、マルチモーダル理解、画像生成、リアルタイムインタラクションをカバーしており、安定版モデルIDまたは固定のsnapshotバージョンを使用できます。",{"path":2505,"title":2506,"description":2507,"nav_group":2467,"nav_order":1083,"method":813,"nav_category":813},"\u002Fja\u002Fdocs\u002Freference","API概要","Moss APIのエンドポイント、リクエストパラメータ、戻り値、ストリーミングイベント、共通ルールを確認できます。",{"path":2509,"title":2510,"description":2511,"nav_group":2442,"nav_order":1083,"method":813,"nav_category":656},"\u002Fja\u002Fdocs\u002Fscenarios\u002Fsingle-voice","単一話者の音声生成","moss-tts-1.5-flashでテキストを単一ボイスの音声に合成します。TTS 1.5 Flashはinput内の[pause X.Ys]でポーズを制御できます。",{"path":2513,"title":2514,"description":2515,"nav_group":2454,"nav_order":1197,"method":813,"nav_category":813},"\u002Fdocs\u002Ferrors-and-limits\u002Flimits","请求限制","请求限制由网关、文件服务、模型服务和计费系统共同决定，以公开 API 的稳定约束为准。",{"path":2517,"title":2518,"description":2519,"nav_group":2458,"nav_order":1197,"method":813,"nav_category":813},"\u002Fdocs\u002Fgetting-started\u002Foverview","基础概念","按场景选择模型，并理解 Moss API 的输入方式、执行方式、响应对象与错误排查。",{"path":2443,"title":812,"description":823,"nav_group":2442,"nav_order":1197,"method":813,"nav_category":656},{"path":2522,"title":2523,"description":2524,"nav_group":2454,"nav_order":1197,"method":813,"nav_category":813},"\u002Fen\u002Fdocs\u002Ferrors-and-limits\u002Flimits","Request Limits","Request limits are jointly enforced by the gateway, file service, model service, and billing system.",{"path":2526,"title":2527,"description":2528,"nav_group":2458,"nav_order":1197,"method":813,"nav_category":813},"\u002Fen\u002Fdocs\u002Fgetting-started\u002Foverview","Core Concepts","Choose a model by scenario, then understand Moss API inputs, execution modes, responses, and troubleshooting.",{"path":2530,"title":2531,"description":2532,"nav_group":2442,"nav_order":1197,"method":813,"nav_category":656},"\u002Fen\u002Fdocs\u002Fscenarios\u002Fdialogue","Multi-speaker Speech","Synthesize multi-character dialogue text into complete dialogue audio, suited to podcasts, role-play, audiobooks, and course dialogues.",{"path":2534,"title":2535,"description":2536,"nav_group":2454,"nav_order":1197,"method":813,"nav_category":813},"\u002Fja\u002Fdocs\u002Ferrors-and-limits\u002Flimits","リクエスト制限","リクエスト制限は、ゲートウェイ、ファイルサービス、モデルサービス、課金システムによって共同で決定され、公開APIの安定した制約を基準とします。",{"path":2538,"title":2539,"description":2540,"nav_group":2458,"nav_order":1197,"method":813,"nav_category":813},"\u002Fja\u002Fdocs\u002Fgetting-started\u002Foverview","基本概念","シナリオに応じてモデルを選択し、Moss APIの入力方法、実行方式、レスポンスオブジェクト、エラーのトラブルシューティングを理解します。",{"path":2542,"title":2543,"description":2544,"nav_group":2442,"nav_order":1197,"method":813,"nav_category":656},"\u002Fja\u002Fdocs\u002Fscenarios\u002Fdialogue","複数話者の音声生成","複数キャラクターの対話テキストを完全な対話音声に合成します。ポッドキャスト、ロールプレイ、オーディオブック、講座の対話に適しています。",{"path":2546,"title":2547,"description":2548,"nav_group":2454,"nav_order":1842,"method":813,"nav_category":813},"\u002Fdocs\u002Ferrors-and-limits\u002Fcallback-rules","回调安全规则","异步任务可通过 webhook_url 接收终态通知，URL 必须是公网可访问的 HTTPS 地址。",{"path":2550,"title":2551,"description":2552,"nav_group":2467,"nav_order":1842,"method":2553,"nav_category":185},"\u002Fdocs\u002Freference\u002Fmodels","查询模型列表","查询当前 API Key 可用的模型列表。","GET",{"path":2555,"title":75,"description":2556,"nav_group":2442,"nav_order":1842,"method":813,"nav_category":470},"\u002Fdocs\u002Fscenarios\u002Fvoice-design","根据待合成文本和声音风格描述，生成对应风格的音色或语音预览。",{"path":2558,"title":2559,"description":2560,"nav_group":2454,"nav_order":1842,"method":813,"nav_category":813},"\u002Fen\u002Fdocs\u002Ferrors-and-limits\u002Fcallback-rules","Callback Security Rules","Asynchronous tasks can send terminal-state notifications to webhook_url, which must be a publicly accessible HTTPS address.",{"path":2562,"title":2563,"description":2564,"nav_group":2467,"nav_order":1842,"method":2553,"nav_category":185},"\u002Fen\u002Fdocs\u002Freference\u002Fmodels","List Models","List the models available to the current API Key.",{"path":2566,"title":2567,"description":2568,"nav_group":2442,"nav_order":1842,"method":813,"nav_category":470},"\u002Fen\u002Fdocs\u002Fscenarios\u002Fvoice-design","Voice Design","Generate a matching voice or speech preview from the text to synthesize and a natural-language voice-style description.",{"path":2570,"title":2571,"description":2572,"nav_group":2454,"nav_order":1842,"method":813,"nav_category":813},"\u002Fja\u002Fdocs\u002Ferrors-and-limits\u002Fcallback-rules","コールバックのセキュリティルール","非同期タスクはwebhook_urlで最終状態の通知を受け取れます。URLはパブリックにアクセス可能なHTTPSアドレスである必要があります。",{"path":2574,"title":2575,"description":2576,"nav_group":2467,"nav_order":1842,"method":2553,"nav_category":185},"\u002Fja\u002Fdocs\u002Freference\u002Fmodels","モデル一覧の取得","現在のAPIキーで利用可能なモデル一覧を取得します。",{"path":2578,"title":2579,"description":2580,"nav_group":2442,"nav_order":1842,"method":813,"nav_category":470},"\u002Fja\u002Fdocs\u002Fscenarios\u002Fvoice-design","ボイスデザイン","合成するテキストと声のスタイルの説明に基づいて、そのスタイルのボイスまたは音声プレビューを生成します。",{"path":2582,"title":73,"description":2583,"nav_group":2467,"nav_order":2584,"method":829,"nav_category":449},"\u002Fdocs\u002Freference\u002Ffiles-create","上传文件并获取 file_id。multipart 字段必须为 file，purpose 为必填；返回的 file_id 可用于音频转写和多模态理解等接口。",40,{"path":2586,"title":2587,"description":2588,"nav_group":2442,"nav_order":2584,"method":813,"nav_category":470},"\u002Fdocs\u002Fscenarios\u002Fvoice-clone","克隆音色","上传一段参考音频文件（multipart audio_sample），创建可复用的 voice_id，供后续 TTS 或 TTSD 使用。",{"path":2590,"title":2591,"description":2592,"nav_group":2467,"nav_order":2584,"method":829,"nav_category":449},"\u002Fen\u002Fdocs\u002Freference\u002Ffiles-create","Upload File","Upload a file and obtain a file_id. The multipart field must be named file, and purpose is required; the returned file_id can be used with audio transcription, multimodal understanding, and other endpoints.",{"path":2594,"title":2595,"description":2596,"nav_group":2442,"nav_order":2584,"method":813,"nav_category":470},"\u002Fen\u002Fdocs\u002Fscenarios\u002Fvoice-clone","Clone a Voice","Upload a reference audio file (multipart audio_sample) to create a reusable voice_id for later use in TTS or TTSD.",{"path":2598,"title":2599,"description":2600,"nav_group":2467,"nav_order":2584,"method":829,"nav_category":449},"\u002Fja\u002Fdocs\u002Freference\u002Ffiles-create","ファイルのアップロード","ファイルをアップロードしてfile_idを取得します。multipartのフィールド名はfileである必要があり、purposeは必須です。返されたfile_idは音声文字起こしやマルチモーダル理解などのエンドポイントで使用できます。",{"path":2602,"title":2603,"description":2604,"nav_group":2442,"nav_order":2584,"method":813,"nav_category":470},"\u002Fja\u002Fdocs\u002Fscenarios\u002Fvoice-clone","ボイスクローン","参照音声ファイル（multipart audio_sample）をアップロードして再利用可能なvoice_idを作成し、後続のTTSまたはTTSDで使用します。",{"path":2606,"title":2607,"description":2608,"nav_group":2467,"nav_order":2609,"method":2553,"nav_category":449},"\u002Fdocs\u002Freference\u002Ffiles-list","查询文件列表","查询当前账号上传的文件列表。",41,{"path":2611,"title":2612,"description":2613,"nav_group":2467,"nav_order":2609,"method":2553,"nav_category":449},"\u002Fen\u002Fdocs\u002Freference\u002Ffiles-list","List Files","List files uploaded by the current account.",{"path":2615,"title":2616,"description":2617,"nav_group":2467,"nav_order":2609,"method":2553,"nav_category":449},"\u002Fja\u002Fdocs\u002Freference\u002Ffiles-list","ファイル一覧の取得","現在のアカウントでアップロードしたファイルの一覧を取得します。",{"path":2619,"title":2620,"description":2621,"nav_group":2467,"nav_order":2622,"method":2553,"nav_category":449},"\u002Fdocs\u002Freference\u002Ffile-detail","查询文件详情","查询文件详情。使用 POST \u002Fv1\u002Ffiles 上传返回的 file_id 查询。",42,{"path":2624,"title":2625,"description":2626,"nav_group":2467,"nav_order":2622,"method":2553,"nav_category":449},"\u002Fen\u002Fdocs\u002Freference\u002Ffile-detail","Get File","Get file details. Use the file_id returned by POST \u002Fv1\u002Ffiles.",{"path":2628,"title":2629,"description":2630,"nav_group":2467,"nav_order":2622,"method":2553,"nav_category":449},"\u002Fja\u002Fdocs\u002Freference\u002Ffile-detail","ファイル詳細の取得","ファイルの詳細を取得します。POST \u002Fv1\u002Ffilesでアップロードした際に返されたfile_idを使って取得します。",{"path":2632,"title":2633,"description":2634,"nav_group":2467,"nav_order":2635,"method":2636,"nav_category":449},"\u002Fdocs\u002Freference\u002Ffile-delete","删除文件","删除已上传文件。",43,"DELETE",{"path":2638,"title":2639,"description":2640,"nav_group":2467,"nav_order":2635,"method":2636,"nav_category":449},"\u002Fen\u002Fdocs\u002Freference\u002Ffile-delete","Delete File","Delete an uploaded file.",{"path":2642,"title":2643,"description":2644,"nav_group":2467,"nav_order":2635,"method":2636,"nav_category":449},"\u002Fja\u002Fdocs\u002Freference\u002Ffile-delete","ファイルの削除","アップロード済みのファイルを削除します。",{"path":2646,"title":2647,"description":2648,"nav_group":2467,"nav_order":2649,"method":829,"nav_category":166},"\u002Fdocs\u002Freference\u002Fresponses","创建响应","使用 MOSS-VL 理解图片或视频，并以 Responses API 对象返回文本结果。每次请求必须同时包含文本指令和媒体。",45,{"path":2651,"title":2652,"description":2653,"nav_group":2467,"nav_order":2649,"method":829,"nav_category":166},"\u002Fen\u002Fdocs\u002Freference\u002Fresponses","Create Response","Use MOSS-VL to understand images or videos and return text results as a Responses API object. Each request must include both a text instruction and media.",{"path":2655,"title":2656,"description":2657,"nav_group":2467,"nav_order":2649,"method":829,"nav_category":166},"\u002Fja\u002Fdocs\u002Freference\u002Fresponses","レスポンスの作成","MOSS-VLで画像または動画を理解し、テキスト結果をResponses APIオブジェクトとして返します。各リクエストにはテキスト指示とメディアの両方を含める必要があります。",{"path":2659,"title":2660,"description":2661,"nav_group":2467,"nav_order":2662,"method":2663,"nav_category":166},"\u002Fdocs\u002Freference\u002Fvl-realtime","实时视频理解","通过 WebSocket 持续发送图像帧并提问，服务端返回增量文本事件。该接口是视觉理解协议，不兼容语音 Realtime，也不是 SSE。",46,"WSS",{"path":2665,"title":2666,"description":2667,"nav_group":2467,"nav_order":2662,"method":2663,"nav_category":166},"\u002Fen\u002Fdocs\u002Freference\u002Fvl-realtime","Realtime video understanding","Continuously send image frames and questions over WebSocket and receive incremental text events. This is a visual understanding protocol, incompatible with audio Realtime, and is not SSE.",{"path":2669,"title":2670,"description":2671,"nav_group":2467,"nav_order":2662,"method":2663,"nav_category":166},"\u002Fja\u002Fdocs\u002Freference\u002Fvl-realtime","リアルタイム動画理解","WebSocketで画像フレームを継続的に送信して質問すると、サーバーが増分テキストイベントを返します。このAPIは視覚理解のプロトコルであり、音声Realtimeとは互換性がなく、SSEでもありません。",{"path":2673,"title":2674,"description":2675,"nav_group":2467,"nav_order":2676,"method":2663,"nav_category":641},"\u002Fdocs\u002Freference\u002Fmoss-live","创建实时对话","通过 WebSocket 建立持续的双向实时会话，连续输入语音、摄像头或屏幕画面，并流式接收文本与语音响应。",47,{"path":2678,"title":2679,"description":2680,"nav_group":2467,"nav_order":2676,"method":2663,"nav_category":641},"\u002Fen\u002Fdocs\u002Freference\u002Fmoss-live","Create a realtime conversation","Establish a continuous two-way realtime session over WebSocket, stream in voice, camera, or screen frames, and receive streamed text and voice responses.",{"path":2682,"title":2683,"description":2684,"nav_group":2467,"nav_order":2676,"method":2663,"nav_category":641},"\u002Fja\u002Fdocs\u002Freference\u002Fmoss-live","リアルタイム対話の作成","WebSocketで継続的な双方向のリアルタイムセッションを確立し、音声、カメラまたは画面の映像を連続して入力して、テキストと音声のレスポンスをストリーミングで受信します。",{"path":2686,"title":2687,"description":2688,"nav_group":2467,"nav_order":2689,"method":829,"nav_category":484},"\u002Fdocs\u002Freference\u002Fimages-generations","文生图","文生图接口；支持直接生图或在同一次请求内先增强提示词再生图。",48,{"path":2691,"title":2692,"description":2693,"nav_group":2467,"nav_order":2689,"method":829,"nav_category":484},"\u002Fen\u002Fdocs\u002Freference\u002Fimages-generations","Text-to-Image","Text-to-image endpoint; generate directly, or enhance the prompt and generate the image within the same request.",{"path":2695,"title":2696,"description":2697,"nav_group":2467,"nav_order":2689,"method":829,"nav_category":484},"\u002Fja\u002Fdocs\u002Freference\u002Fimages-generations","テキストから画像生成","テキストから画像を生成するエンドポイント。直接生成することも、同一リクエスト内でプロンプトを自動改善してから画像を生成することもできます。",{"path":2699,"title":2700,"description":2701,"nav_group":2467,"nav_order":2702,"method":829,"nav_category":484},"\u002Fdocs\u002Freference\u002Flayout-image-generation","布局生图","通过元素描述和边界框指定文本和对象的位置、大小及排列关系，引导模型生成复杂图文画面。",49,{"path":2704,"title":2705,"description":2706,"nav_group":2467,"nav_order":2702,"method":829,"nav_category":484},"\u002Fen\u002Fdocs\u002Freference\u002Flayout-image-generation","Layout-to-Image","Specify the position, size, and arrangement of text and objects with element descriptions and bounding boxes to guide the model in generating complex compositions.",{"path":2708,"title":2709,"description":2710,"nav_group":2467,"nav_order":2702,"method":829,"nav_category":484},"\u002Fja\u002Fdocs\u002Freference\u002Flayout-image-generation","レイアウトから画像生成","要素の説明とバウンディングボックスでテキストやオブジェクトの位置・サイズ・配置を指定し、複雑な構図の画像を生成します。",{"path":2712,"title":2470,"description":2713,"nav_group":2467,"nav_order":2714,"method":829,"nav_category":656},"\u002Fdocs\u002Freference\u002Fspeech","文本转语音接口；使用 voice_id 指定音色，支持非流式、原始 PCM 与 SSE 流式输出。",50,{"path":2716,"title":2717,"description":2718,"nav_group":2467,"nav_order":2714,"method":829,"nav_category":656},"\u002Fen\u002Fdocs\u002Freference\u002Fspeech","Single-speaker Speech","Generate speech from text with a voice_id, using non-streaming output, raw PCM, or SSE.",{"path":2720,"title":2510,"description":2721,"nav_group":2467,"nav_order":2714,"method":829,"nav_category":656},"\u002Fja\u002Fdocs\u002Freference\u002Fspeech","テキストを音声に変換するAPIです。voice_idでボイスを指定し、非ストリーミング、生のPCM、SSEストリーミング出力に対応します。",{"path":2723,"title":639,"description":2724,"nav_group":2467,"nav_order":2725,"method":829,"nav_category":581},"\u002Fdocs\u002Freference\u002Ftranscriptions","音频转写接口。支持 multipart file、file_id、url、audio_url，不支持audio_data。",60,{"path":2727,"title":2728,"description":2729,"nav_group":2467,"nav_order":2725,"method":829,"nav_category":581},"\u002Fen\u002Fdocs\u002Freference\u002Ftranscriptions","Create Transcription","Audio transcription endpoint. Supports multipart file, file_id, url, and audio_url; audio_data is not supported.",{"path":2731,"title":2732,"description":2733,"nav_group":2467,"nav_order":2725,"method":829,"nav_category":581},"\u002Fja\u002Fdocs\u002Freference\u002Ftranscriptions","音声文字起こし","音声文字起こしAPIです。multipart file、file_id、url、audio_urlに対応し、audio_dataには対応していません。",{"path":2735,"title":395,"description":2736,"nav_group":2467,"nav_order":2737,"method":2553,"nav_category":470},"\u002Fdocs\u002Freference\u002Fvoices-list","查询当前账号可用音色列表。",70,{"path":2739,"title":639,"description":2740,"nav_group":2442,"nav_order":2737,"method":813,"nav_category":581},"\u002Fdocs\u002Fscenarios\u002Ftranscribe","将音频转换为文本，适合会议、访谈、语音消息和媒体内容处理。",{"path":2742,"title":2743,"description":2744,"nav_group":2467,"nav_order":2737,"method":2553,"nav_category":470},"\u002Fen\u002Fdocs\u002Freference\u002Fvoices-list","List Voices","List the voices available to the current account.",{"path":2746,"title":2747,"description":2748,"nav_group":2442,"nav_order":2737,"method":813,"nav_category":581},"\u002Fen\u002Fdocs\u002Fscenarios\u002Ftranscribe","Audio Transcription","Convert audio into text — ideal for meetings, interviews, voice messages, and media content processing.",{"path":2750,"title":2751,"description":2752,"nav_group":2467,"nav_order":2737,"method":2553,"nav_category":470},"\u002Fja\u002Fdocs\u002Freference\u002Fvoices-list","ボイス一覧の取得","現在のアカウントで利用可能なボイスの一覧を取得します。",{"path":2754,"title":2755,"description":2756,"nav_group":2442,"nav_order":2737,"method":813,"nav_category":581},"\u002Fja\u002Fdocs\u002Fscenarios\u002Ftranscribe","音声の文字起こし","音声をテキストに変換します。会議、インタビュー、ボイスメッセージ、メディアコンテンツの処理に適しています。",{"path":2758,"title":2759,"description":2760,"nav_group":2467,"nav_order":2761,"method":829,"nav_category":470},"\u002Fdocs\u002Freference\u002Fvoices-create","创建音色","上传本地参考音频，创建可复用的音色 ID。",71,{"path":2763,"title":2764,"description":2765,"nav_group":2467,"nav_order":2761,"method":829,"nav_category":470},"\u002Fen\u002Fdocs\u002Freference\u002Fvoices-create","Create Voice","Upload a local reference audio file to create a reusable voice ID.",{"path":2767,"title":2768,"description":2769,"nav_group":2467,"nav_order":2761,"method":829,"nav_category":470},"\u002Fja\u002Fdocs\u002Freference\u002Fvoices-create","ボイスの作成","ローカルの参照音声をアップロードし、再利用可能なボイスIDを作成します。",{"path":2417,"title":812,"description":2771,"nav_group":2467,"nav_order":2772,"method":829,"nav_category":656},"多人对话语音生成；使用 speakers 定义说话人与音色，并通过 segments 指定分段文本。",80,{"path":2774,"title":2775,"description":2776,"nav_group":2442,"nav_order":2772,"method":813,"nav_category":581},"\u002Fdocs\u002Fscenarios\u002Ftranscribe-diarization","多说话人转写","将多说话人音频转为带说话人信息的转写结果，适合会议、访谈和播客。",{"path":2778,"title":2531,"description":2779,"nav_group":2467,"nav_order":2772,"method":829,"nav_category":656},"\u002Fen\u002Fdocs\u002Freference\u002Fspeakers","Generate multi-speaker dialogue by defining speakers, voices, and text segments.",{"path":2781,"title":2782,"description":2783,"nav_group":2442,"nav_order":2772,"method":813,"nav_category":581},"\u002Fen\u002Fdocs\u002Fscenarios\u002Ftranscribe-diarization","Multi-Speaker Transcription","Convert multi-speaker audio into transcription results with speaker information — ideal for meetings, interviews, and podcasts.",{"path":2785,"title":2543,"description":2786,"nav_group":2467,"nav_order":2772,"method":829,"nav_category":656},"\u002Fja\u002Fdocs\u002Freference\u002Fspeakers","複数話者の対話音声を生成します。speakersで話者とボイスを定義し、segmentsで分割したテキストを指定します。",{"path":2788,"title":2789,"description":2790,"nav_group":2442,"nav_order":2772,"method":813,"nav_category":581},"\u002Fja\u002Fdocs\u002Fscenarios\u002Ftranscribe-diarization","複数話者の文字起こし","複数話者の音声を、話者情報付きの文字起こし結果に変換します。会議、インタビュー、ポッドキャストに適しています。",{"path":2792,"title":2793,"description":2794,"nav_group":2442,"nav_order":2795,"method":813,"nav_category":166},"\u002Fdocs\u002Fscenarios\u002Fimage-video-understanding","图片与视频理解","使用 MOSS-VL 理解图片或视频，并以 Responses API 对象返回文本结果。",85,{"path":2797,"title":2798,"description":2799,"nav_group":2442,"nav_order":2795,"method":813,"nav_category":166},"\u002Fen\u002Fdocs\u002Fscenarios\u002Fimage-video-understanding","Image and Video Understanding","Use MOSS-VL to understand images or video and return text in a Responses API object.",{"path":2801,"title":2802,"description":2803,"nav_group":2442,"nav_order":2795,"method":813,"nav_category":166},"\u002Fja\u002Fdocs\u002Fscenarios\u002Fimage-video-understanding","画像・動画の理解","MOSS-VLで画像または動画を理解し、テキストの結果をResponses APIオブジェクトとして返します。",{"path":2805,"title":2660,"description":2806,"nav_group":2442,"nav_order":2807,"method":813,"nav_category":166},"\u002Fdocs\u002Fscenarios\u002Fvl-realtime","使用 MOSS-VL-Realtime 通过一条 WebSocket 连接持续发送 JPEG、PNG 或 WebP 图像帧，在同一会话中提问并接收增量文本回答，适用于摄像头、屏幕等实时画面理解场景。",86,{"path":2809,"title":2666,"description":2810,"nav_group":2442,"nav_order":2807,"method":813,"nav_category":166},"\u002Fen\u002Fdocs\u002Fscenarios\u002Fvl-realtime","Use MOSS-VL-Realtime to continuously send JPEG, PNG, or WebP frames over one WebSocket connection, ask questions in the same session, and receive incremental text answers for camera or screen understanding.",{"path":2812,"title":2670,"description":2813,"nav_group":2442,"nav_order":2807,"method":813,"nav_category":166},"\u002Fja\u002Fdocs\u002Fscenarios\u002Fvl-realtime","MOSS-VL-Realtimeを使用して、1本のWebSocket接続でJPEG、PNG、またはWebPの画像フレームを継続的に送信し、同じセッション内で質問して増分テキストの回答を受け取ります。カメラや画面などのリアルタイム映像を理解するシナリオに適しています。",{"path":2815,"title":641,"description":2816,"nav_group":2442,"nav_order":2817,"method":813,"nav_category":641},"\u002Fdocs\u002Fscenarios\u002Fmoss-live","使用 MOSS-Live 通过一条 WebSocket 进行实时语音对话，并结合摄像头或屏幕共享进行画面理解。",87,{"path":2819,"title":2820,"description":2821,"nav_group":2442,"nav_order":2817,"method":813,"nav_category":641},"\u002Fen\u002Fdocs\u002Fscenarios\u002Fmoss-live","Realtime interaction","Use MOSS-Live to hold realtime voice conversations over one WebSocket, with camera or screen sharing for visual understanding.",{"path":2823,"title":2824,"description":2825,"nav_group":2442,"nav_order":2817,"method":813,"nav_category":641},"\u002Fja\u002Fdocs\u002Fscenarios\u002Fmoss-live","リアルタイムインタラクション","MOSS-Liveを使用して、1本のWebSocketでリアルタイム音声対話を行い、カメラや画面共有と組み合わせて映像を理解します。",{"path":2827,"title":2687,"description":2828,"nav_group":2442,"nav_order":2829,"method":813,"nav_category":484},"\u002Fdocs\u002Fscenarios\u002Fimage-generation","根据文本描述生成图像，支持长文本和文字渲染，适合海报设计、插画创作和视觉内容生成。",88,{"path":2831,"title":2692,"description":2832,"nav_group":2442,"nav_order":2829,"method":813,"nav_category":484},"\u002Fen\u002Fdocs\u002Fscenarios\u002Fimage-generation","Generate images from text descriptions, with support for long text and text rendering, for poster design, illustration, and visual content creation.",{"path":2834,"title":2696,"description":2835,"nav_group":2442,"nav_order":2829,"method":813,"nav_category":484},"\u002Fja\u002Fdocs\u002Fscenarios\u002Fimage-generation","テキストから画像を生成します。長文プロンプトや画像内の文字描画に対応し、ポスターやイラストなどの制作に活用できます。",{"path":2837,"title":2838,"description":2839,"nav_group":2467,"nav_order":2840,"method":829,"nav_category":470},"\u002Fdocs\u002Freference\u002Fvoice-generations","音色生成","通过文本和声音描述生成音色或语音。",90,{"path":2842,"title":2843,"description":2844,"nav_group":2467,"nav_order":2840,"method":829,"nav_category":470},"\u002Fen\u002Fdocs\u002Freference\u002Fvoice-generations","Generate Voice","Generate a voice or speech from text and a voice description.",{"path":2846,"title":2847,"description":2848,"nav_group":2467,"nav_order":2840,"method":829,"nav_category":470},"\u002Fja\u002Fdocs\u002Freference\u002Fvoice-generations","ボイス生成","テキストと声の説明からボイスまたは音声を生成します。",{"path":2850,"title":2348,"description":2851,"nav_group":2467,"nav_order":2852,"method":2553,"nav_category":523},"\u002Fdocs\u002Freference\u002Faudio-task","使用异步请求返回的 task_id 查询语音生成、音色生成和音频转写任务的状态与结果。",120,{"path":2854,"title":2855,"description":2856,"nav_group":2467,"nav_order":2852,"method":2553,"nav_category":523},"\u002Fen\u002Fdocs\u002Freference\u002Faudio-task","Get Task","Use the task_id returned by an asynchronous request to query speech generation, voice generation, or audio transcription task status and results.",{"path":2858,"title":2859,"description":2860,"nav_group":2467,"nav_order":2852,"method":2553,"nav_category":523},"\u002Fja\u002Fdocs\u002Freference\u002Faudio-task","タスクの取得","非同期リクエストで返されたtask_idを使って、音声生成、ボイス生成、音声文字起こしタスクの状態と結果を取得します。",[2862,2863,2864,2865,2866,2867,2868,2870,2872,2874,2876,2878,2880,2882,2884,2886,2888,2890,2891,2892,2893,2894,2895,2896,2897,2898,2899,2900,2901,2902,2903,2904,2905,2906,2907,2908,2909,2910,2911,2912,2913,2914,2915,2916,2917,2918,2919,2920,2921,2922,2923,2924,2926,2928,2930,2932,2934,2936,2938,2940,2942,2944,2946,2947,2948,2949,2950,2951,2952,2953,2954,2955,2956,2957,2958,2959,2960,2961,2962,2963,2964,2965,2966,2967,2968,2969,2970,2971,2972,2973,2974,2975,2976,2977,2978,2979,2980,2982,2984,2986,2988,2990,2992,2994,2996,2998,3000,3002,3003,3004,3005,3006,3007,3008,3009,3010,3011,3012,3013,3014,3015,3016,3017,3018,3019,3020,3021,3022,3023,3024,3025,3026,3027,3028,3029],{"path":2546},{"path":2451},{"path":2513},{"path":2517},{"path":2456},{"path":2426},{"path":2869},"\u002Fdocs\u002Fmodels\u002Fmoss-image",{"path":2871},"\u002Fdocs\u002Fmodels\u002Fmoss-image-sft",{"path":2873},"\u002Fdocs\u002Fmodels\u002Fmoss-live",{"path":2875},"\u002Fdocs\u002Fmodels\u002Fmoss-vl",{"path":2877},"\u002Fdocs\u002Fmodels\u002Fmoss-vl-realtime",{"path":2879},"\u002Fdocs\u002Fmodels\u002Ftranscribe",{"path":2881},"\u002Fdocs\u002Fmodels\u002Ftranscribe-diarize",{"path":2883},"\u002Fdocs\u002Fmodels\u002Ftts-flash",{"path":2885},"\u002Fdocs\u002Fmodels\u002Ftts-pro",{"path":2887},"\u002Fdocs\u002Fmodels\u002Fttsd",{"path":2889},"\u002Fdocs\u002Fmodels\u002Fvoice-generator",{"path":2850},{"path":2632},{"path":2619},{"path":2582},{"path":2606},{"path":2686},{"path":2464},{"path":2699},{"path":2550},{"path":2673},{"path":2646},{"path":2417},{"path":2712},{"path":2723},{"path":2659},{"path":2837},{"path":2758},{"path":2735},{"path":2443},{"path":2827},{"path":2792},{"path":2815},{"path":2469},{"path":2739},{"path":2774},{"path":2805},{"path":2586},{"path":2555},{"path":2558},{"path":2473},{"path":2522},{"path":2526},{"path":2477},{"path":2481},{"path":2925},"\u002Fen\u002Fdocs\u002Fmodels\u002Fmoss-image",{"path":2927},"\u002Fen\u002Fdocs\u002Fmodels\u002Fmoss-image-sft",{"path":2929},"\u002Fen\u002Fdocs\u002Fmodels\u002Fmoss-live",{"path":2931},"\u002Fen\u002Fdocs\u002Fmodels\u002Fmoss-vl",{"path":2933},"\u002Fen\u002Fdocs\u002Fmodels\u002Fmoss-vl-realtime",{"path":2935},"\u002Fen\u002Fdocs\u002Fmodels\u002Ftranscribe",{"path":2937},"\u002Fen\u002Fdocs\u002Fmodels\u002Ftranscribe-diarize",{"path":2939},"\u002Fen\u002Fdocs\u002Fmodels\u002Ftts-flash",{"path":2941},"\u002Fen\u002Fdocs\u002Fmodels\u002Ftts-pro",{"path":2943},"\u002Fen\u002Fdocs\u002Fmodels\u002Fttsd",{"path":2945},"\u002Fen\u002Fdocs\u002Fmodels\u002Fvoice-generator",{"path":2854},{"path":2638},{"path":2624},{"path":2590},{"path":2611},{"path":2691},{"path":2485},{"path":2704},{"path":2562},{"path":2678},{"path":2651},{"path":2778},{"path":2716},{"path":2727},{"path":2665},{"path":2842},{"path":2763},{"path":2742},{"path":2530},{"path":2831},{"path":2797},{"path":2819},{"path":2489},{"path":2746},{"path":2781},{"path":2809},{"path":2594},{"path":2566},{"path":2570},{"path":2493},{"path":2534},{"path":2538},{"path":2497},{"path":2501},{"path":2981},"\u002Fja\u002Fdocs\u002Fmodels\u002Fmoss-image",{"path":2983},"\u002Fja\u002Fdocs\u002Fmodels\u002Fmoss-image-sft",{"path":2985},"\u002Fja\u002Fdocs\u002Fmodels\u002Fmoss-live",{"path":2987},"\u002Fja\u002Fdocs\u002Fmodels\u002Fmoss-vl",{"path":2989},"\u002Fja\u002Fdocs\u002Fmodels\u002Fmoss-vl-realtime",{"path":2991},"\u002Fja\u002Fdocs\u002Fmodels\u002Ftranscribe",{"path":2993},"\u002Fja\u002Fdocs\u002Fmodels\u002Ftranscribe-diarize",{"path":2995},"\u002Fja\u002Fdocs\u002Fmodels\u002Ftts-flash",{"path":2997},"\u002Fja\u002Fdocs\u002Fmodels\u002Ftts-pro",{"path":2999},"\u002Fja\u002Fdocs\u002Fmodels\u002Fttsd",{"path":3001},"\u002Fja\u002Fdocs\u002Fmodels\u002Fvoice-generator",{"path":2858},{"path":2642},{"path":2628},{"path":2598},{"path":2615},{"path":2695},{"path":2505},{"path":2708},{"path":2574},{"path":2682},{"path":2655},{"path":2785},{"path":2720},{"path":2731},{"path":2669},{"path":2846},{"path":2767},{"path":2750},{"path":2542},{"path":2834},{"path":2801},{"path":2823},{"path":2509},{"path":2754},{"path":2788},{"path":2812},{"path":2602},{"path":2578},1793264638272]