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OpenTelemetry","\u002Fcompare\u002Fopentelemetry","8.compare\u002F2.opentelemetry",{"title":591,"path":592,"stem":593,"icon":567},"evlog vs LogTape","\u002Fcompare\u002Flogtape","8.compare\u002F3.logtape",{"title":595,"path":596,"stem":597,"icon":567},"evlog vs Winston: formats and request events","\u002Fcompare\u002Fwinston","8.compare\u002F4.winston",{"title":599,"path":600,"stem":601,"icon":567},"evlog vs Consola: reporters and request context","\u002Fcompare\u002Fconsola","8.compare\u002F5.consola",{"id":603,"title":604,"body":605,"description":1944,"extension":1945,"links":1946,"meta":1952,"navigation":1953,"path":357,"seo":1954,"stem":358,"__hash__":1955},"docs\u002F5.use-cases\u002F2.ai-sdk\u002F05.telemetry.md","Deeper Telemetry",{"type":606,"value":607,"toc":1938},"minimark",[608,627,642,647,658,973,976,1346,1350,1353,1462,1466,1596,1599,1603,1611,1788,1798,1913,1934],[609,610,611,615,616,619,620,623,624,626],"p",{},[612,613,614],"code",{},"createAILogger"," covers tokens, model info, and streaming metrics. For deeper observability (per-tool execution timing, success\u002Ffailure tracking, and total generation wall time), add ",[612,617,618],{},"createEvlogIntegration()"," on top. It implements the AI SDK telemetry interface (v6 ",[612,621,622],{},"TelemetryIntegration",", v7 ",[612,625,356],{},") and captures data middleware alone cannot see.",[609,628,629,630,633,634,637,638,641],{},"On AI SDK v7, the integration also auto-captures embeddings via ",[612,631,632],{},"onEmbedEnd",", records stream aborts via ",[612,635,636],{},"onAbort",", and surfaces unrecoverable errors via ",[612,639,640],{},"onError",".",[643,644,646],"h2",{"id":645},"combined-with-middleware-recommended","Combined with middleware (recommended)",[609,648,649,650,653,654,657],{},"When passed an ",[612,651,652],{},"AILogger",", the integration shares its accumulator. Both paths write to the same ",[612,655,656],{},"ai.*"," field:",[659,660,666],"pre",{"className":661,"code":662,"filename":663,"language":664,"meta":665,"style":665},"language-typescript shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","import { generateText } from 'ai'\nimport { createAILogger, createEvlogIntegration } from 'evlog\u002Fai'\n\nexport default defineEventHandler(async (event) => {\n  const log = useLogger(event)\n  const ai = createAILogger(log)\n\n  const result = await generateText({\n    model: ai.wrap('anthropic\u002Fclaude-sonnet-4.6'),\n    tools: { getWeather, searchDB },\n    telemetry: {\n      integrations: [createEvlogIntegration(ai)],\n    },\n  })\n\n  return { text: result.text 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timing:",[659,977,982],{"className":978,"code":979,"filename":980,"language":981,"meta":665,"style":665},"language-json shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","{\n  \"ai\": {\n    \"calls\": 2,\n    \"steps\": 2,\n    \"model\": \"claude-sonnet-4.6\",\n    \"provider\": \"anthropic\",\n    \"inputTokens\": 3500,\n    \"outputTokens\": 800,\n    \"totalTokens\": 4300,\n    \"toolCalls\": [\"getWeather\", \"searchDB\"],\n    \"tools\": [\n      { \"name\": \"getWeather\", \"durationMs\": 150, \"success\": true },\n      { \"name\": \"searchDB\", \"durationMs\": 45, \"success\": true }\n    ],\n    \"totalDurationMs\": 2340,\n    \"msToFirstChunk\": 180,\n    \"msToFinish\": 2100,\n    \"tokensPerSecond\": 380\n  }\n}\n","Wide Event","json",[612,983,984,988,1002,1021,1036,1057,1077,1093,1109,1125,1157,1171,1221,1266,1271,1287,1303,1319,1334,1340],{"__ignoreMap":665},[669,985,986],{"class":671,"line":672},[669,987,837],{"class":679},[669,989,990,993,995,998,1000],{"class":671,"line":703},[669,991,992],{"class":679},"  \"",[669,994,697],{"class":753},[669,996,997],{"class":679},"\"",[669,999,846],{"class":679},[669,1001,770],{"class":679},[669,1003,1004,1007,1011,1013,1015,1019],{"class":671,"line":730},[669,1005,1006],{"class":679},"    \"",[669,1008,1010],{"class":1009},"sBMFI","calls",[669,1012,997],{"class":679},[669,1014,846],{"class":679},[669,1016,1018],{"class":1017},"sbssI"," 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2100",[669,1318,868],{"class":679},[669,1320,1322,1324,1327,1329,1331],{"class":671,"line":1321},18,[669,1323,1006],{"class":679},[669,1325,1326],{"class":1009},"tokensPerSecond",[669,1328,997],{"class":679},[669,1330,846],{"class":679},[669,1332,1333],{"class":1017}," 380\n",[669,1335,1337],{"class":671,"line":1336},19,[669,1338,1339],{"class":679},"  }\n",[669,1341,1343],{"class":671,"line":1342},20,[669,1344,1345],{"class":679},"}\n",[643,1347,1349],{"id":1348},"standalone-without-middleware","Standalone (without middleware)",[609,1351,1352],{},"If your model is already wrapped (e.g. by another middleware), pass the request logger directly:",[659,1354,1357],{"className":661,"code":1355,"filename":1356,"language":664,"meta":665,"style":665},"import { createEvlogIntegration } from 'evlog\u002Fai'\n\nconst integration = createEvlogIntegration(log)\n\nconst result = await generateText({\n  model: somePreWrappedModel,\n  telemetry: {\n    integrations: [integration],\n  },\n})\n","server\u002Fapi\u002Fchat.post.ts",[612,1358,1359,1377,1381,1397,1401,1418,1430,1439,1451,1456],{"__ignoreMap":665},[669,1360,1361,1363,1365,1367,1369,1371,1373,1375],{"class":671,"line":672},[669,1362,676],{"class":675},[669,1364,680],{"class":679},[669,1366,716],{"class":683},[669,1368,687],{"class":679},[669,1370,690],{"class":675},[669,1372,693],{"class":679},[669,1374,725],{"class":696},[669,1376,700],{"class":679},[669,1378,1379],{"class":671,"line":703},[669,1380,734],{"emptyLinePlaceholder":733},[669,1382,1383,1386,1389,1392,1394],{"class":671,"line":730},[669,1384,1385],{"class":753},"const",[669,1387,1388],{"class":683}," integration ",[669,1390,1391],{"class":679},"=",[669,1393,716],{"class":746},[669,1395,1396],{"class":683},"(log)\n",[669,1398,1399],{"class":671,"line":737},[669,1400,734],{"emptyLinePlaceholder":733},[669,1402,1403,1405,1408,1410,1412,1414,1416],{"class":671,"line":773},[669,1404,1385],{"class":753},[669,1406,1407],{"class":683}," result ",[669,1409,1391],{"class":679},[669,1411,830],{"class":675},[669,1413,684],{"class":746},[669,1415,750],{"class":683},[669,1417,837],{"class":679},[669,1419,1420,1423,1425,1428],{"class":671,"line":796},[669,1421,1422],{"class":788},"  model",[669,1424,846],{"class":679},[669,1426,1427],{"class":683}," somePreWrappedModel",[669,1429,868],{"class":679},[669,1431,1432,1435,1437],{"class":671,"line":815},[669,1433,1434],{"class":788},"  telemetry",[669,1436,846],{"class":679},[669,1438,770],{"class":679},[669,1440,1441,1444,1446,1449],{"class":671,"line":820},[669,1442,1443],{"class":788},"    integrations",[669,1445,846],{"class":679},[669,1447,1448],{"class":683}," [integration]",[669,1450,868],{"class":679},[669,1452,1453],{"class":671,"line":840},[669,1454,1455],{"class":679},"  },\n",[669,1457,1458,1460],{"class":671,"line":871},[669,1459,970],{"class":679},[669,1461,793],{"class":683},[643,1463,1465],{"id":1464},"what-lands-on-the-wide-event","What lands on the wide event",[1467,1468,1469,1485],"table",{},[1470,1471,1472],"thead",{},[1473,1474,1475,1479,1482],"tr",{},[1476,1477,1478],"th",{},"Data",[1476,1480,1481],{},"Source",[1476,1483,1484],{},"Description",[1486,1487,1488,1521,1543,1566,1580],"tbody",{},[1473,1489,1490,1496,1506],{},[1491,1492,1493],"td",{},[612,1494,1495],{},"ai.tools[]",[1491,1497,1498,1501,1502,1505],{},[612,1499,1500],{},"onToolExecutionEnd"," (v7) \u002F ",[612,1503,1504],{},"onToolCallFinish"," (v6)",[1491,1507,1508,1509,1511,1512,1511,1514,1516,1517,1520],{},"Per-tool ",[612,1510,1180],{},", ",[612,1513,1197],{},[612,1515,1211],{},", and ",[612,1518,1519],{},"error"," (if failed)",[1473,1522,1523,1528,1540],{},[1491,1524,1525],{},[612,1526,1527],{},"ai.totalDurationMs",[1491,1529,1530,1533,1534,1501,1537,1505],{},[612,1531,1532],{},"onStart"," → ",[612,1535,1536],{},"onEnd",[612,1538,1539],{},"onFinish",[1491,1541,1542],{},"Total wall time from generation start to completion",[1473,1544,1545,1550,1555],{},[1491,1546,1547],{},[612,1548,1549],{},"ai.embedding",[1491,1551,1552,1554],{},[612,1553,632],{}," (v7)",[1491,1556,1557,1558,1561,1562,1565],{},"Auto-captured from ",[612,1559,1560],{},"embed()"," \u002F ",[612,1563,1564],{},"embedMany()"," when telemetry is enabled",[1473,1567,1568,1573,1577],{},[1491,1569,1570],{},[612,1571,1572],{},"ai.finishReason: 'abort'",[1491,1574,1575,1554],{},[612,1576,636],{},[1491,1578,1579],{},"Set when a streaming generation is aborted",[1473,1581,1582,1587,1593],{},[1491,1583,1584],{},[612,1585,1586],{},"ai.error",[1491,1588,1589,1561,1591,1554],{},[612,1590,636],{},[612,1592,640],{},[1491,1594,1595],{},"Abort reason or unrecoverable generation error",[609,1597,1598],{},"The middleware captures tokens, model info, and streaming metrics. The integration captures tool execution timing. Together, they give you complete AI observability.",[643,1600,1602],{"id":1601},"compose-it-with-the-rest","Compose it with the rest",[609,1604,1605,1608,1609,846],{},[612,1606,1607],{},"ai.wrap()"," works with models that are already wrapped by other tools. If you use supermemory, guardrails middleware, or any other model wrapper, pass the wrapped model to ",[612,1610,1607],{},[659,1612,1614],{"className":661,"code":1613,"filename":1356,"language":664,"meta":665,"style":665},"import { createAILogger } from 'evlog\u002Fai'\nimport { withSupermemory } from '@supermemory\u002Ftools\u002Fai-sdk'\nimport { createGateway } from 'ai'\n\nconst gateway = createGateway({ ... })\nconst ai = createAILogger(log)\nconst base = gateway('anthropic\u002Fclaude-sonnet-4.6')\nconst model = ai.wrap(withSupermemory(base, 'your-org-id', { mode: 'full' }))\n",[612,1615,1616,1634,1654,1673,1677,1700,1713,1735],{"__ignoreMap":665},[669,1617,1618,1620,1622,1624,1626,1628,1630,1632],{"class":671,"line":672},[669,1619,676],{"class":675},[669,1621,680],{"class":679},[669,1623,710],{"class":683},[669,1625,687],{"class":679},[669,1627,690],{"class":675},[669,1629,693],{"class":679},[669,1631,725],{"class":696},[669,1633,700],{"class":679},[669,1635,1636,1638,1640,1643,1645,1647,1649,1652],{"class":671,"line":703},[669,1637,676],{"class":675},[669,1639,680],{"class":679},[669,1641,1642],{"class":683}," withSupermemory",[669,1644,687],{"class":679},[669,1646,690],{"class":675},[669,1648,693],{"class":679},[669,1650,1651],{"class":696},"@supermemory\u002Ftools\u002Fai-sdk",[669,1653,700],{"class":679},[669,1655,1656,1658,1660,1663,1665,1667,1669,1671],{"class":671,"line":730},[669,1657,676],{"class":675},[669,1659,680],{"class":679},[669,1661,1662],{"class":683}," createGateway",[669,1664,687],{"class":679},[669,1666,690],{"class":675},[669,1668,693],{"class":679},[669,1670,697],{"class":696},[669,1672,700],{"class":679},[669,1674,1675],{"class":671,"line":737},[669,1676,734],{"emptyLinePlaceholder":733},[669,1678,1679,1681,1684,1686,1688,1690,1693,1696,1698],{"class":671,"line":773},[669,1680,1385],{"class":753},[669,1682,1683],{"class":683}," gateway ",[669,1685,1391],{"class":679},[669,1687,1662],{"class":746},[669,1689,750],{"class":683},[669,1691,1692],{"class":679},"{",[669,1694,1695],{"class":679}," ...",[669,1697,687],{"class":679},[669,1699,793],{"class":683},[669,1701,1702,1704,1707,1709,1711],{"class":671,"line":796},[669,1703,1385],{"class":753},[669,1705,1706],{"class":683}," ai ",[669,1708,1391],{"class":679},[669,1710,710],{"class":746},[669,1712,1396],{"class":683},[669,1714,1715,1717,1720,1722,1725,1727,1729,1731,1733],{"class":671,"line":815},[669,1716,1385],{"class":753},[669,1718,1719],{"class":683}," base ",[669,1721,1391],{"class":679},[669,1723,1724],{"class":746}," gateway",[669,1726,750],{"class":683},[669,1728,858],{"class":679},[669,1730,861],{"class":696},[669,1732,858],{"class":679},[669,1734,793],{"class":683},[669,1736,1737,1739,1742,1744,1746,1748,1750,1752,1755,1758,1760,1762,1765,1767,1769,1771,1774,1776,1778,1781,1783,1785],{"class":671,"line":820},[669,1738,1385],{"class":753},[669,1740,1741],{"class":683}," model ",[669,1743,1391],{"class":679},[669,1745,801],{"class":683},[669,1747,641],{"class":679},[669,1749,853],{"class":746},[669,1751,750],{"class":683},[669,1753,1754],{"class":746},"withSupermemory",[669,1756,1757],{"class":683},"(base",[669,1759,713],{"class":679},[669,1761,693],{"class":679},[669,1763,1764],{"class":696},"your-org-id",[669,1766,858],{"class":679},[669,1768,713],{"class":679},[669,1770,680],{"class":679},[669,1772,1773],{"class":788}," mode",[669,1775,846],{"class":679},[669,1777,693],{"class":679},[669,1779,1780],{"class":696},"full",[669,1782,858],{"class":679},[669,1784,687],{"class":679},[669,1786,1787],{"class":683},"))\n",[609,1789,1790,1791,1794,1795,846],{},"For explicit middleware composition, use ",[612,1792,1793],{},"createAIMiddleware"," to get the raw middleware and compose it yourself via ",[612,1796,1797],{},"wrapLanguageModel",[659,1799,1801],{"className":661,"code":1800,"filename":1356,"language":664,"meta":665,"style":665},"import { createAIMiddleware } from 'evlog\u002Fai'\nimport { wrapLanguageModel } from 'ai'\n\nconst model = wrapLanguageModel({\n  model: base,\n  middleware: [createAIMiddleware(log, { toolInputs: true }), otherMiddleware],\n})\n",[612,1802,1803,1822,1841,1845,1859,1870,1907],{"__ignoreMap":665},[669,1804,1805,1807,1809,1812,1814,1816,1818,1820],{"class":671,"line":672},[669,1806,676],{"class":675},[669,1808,680],{"class":679},[669,1810,1811],{"class":683}," createAIMiddleware",[669,1813,687],{"class":679},[669,1815,690],{"class":675},[669,1817,693],{"class":679},[669,1819,725],{"class":696},[669,1821,700],{"class":679},[669,1823,1824,1826,1828,1831,1833,1835,1837,1839],{"class":671,"line":703},[669,1825,676],{"class":675},[669,1827,680],{"class":679},[669,1829,1830],{"class":683}," wrapLanguageModel",[669,1832,687],{"class":679},[669,1834,690],{"class":675},[669,1836,693],{"class":679},[669,1838,697],{"class":696},[669,1840,700],{"class":679},[669,1842,1843],{"class":671,"line":730},[669,1844,734],{"emptyLinePlaceholder":733},[669,1846,1847,1849,1851,1853,1855,1857],{"class":671,"line":737},[669,1848,1385],{"class":753},[669,1850,1741],{"class":683},[669,1852,1391],{"class":679},[669,1854,1830],{"class":746},[669,1856,750],{"class":683},[669,1858,837],{"class":679},[669,1860,1861,1863,1865,1868],{"class":671,"line":773},[669,1862,1422],{"class":788},[669,1864,846],{"class":679},[669,1866,1867],{"class":683}," base",[669,1869,868],{"class":679},[669,1871,1872,1875,1877,1879,1881,1884,1886,1888,1891,1893,1896,1898,1900,1902,1905],{"class":671,"line":796},[669,1873,1874],{"class":788},"  middleware",[669,1876,846],{"class":679},[669,1878,910],{"class":683},[669,1880,1793],{"class":746},[669,1882,1883],{"class":683},"(log",[669,1885,713],{"class":679},[669,1887,680],{"class":679},[669,1889,1890],{"class":788}," toolInputs",[669,1892,846],{"class":679},[669,1894,1218],{"class":1895},"sfNiH",[669,1897,687],{"class":679},[669,1899,764],{"class":683},[669,1901,713],{"class":679},[669,1903,1904],{"class":683}," otherMiddleware]",[669,1906,868],{"class":679},[669,1908,1909,1911],{"class":671,"line":815},[669,1910,970],{"class":679},[669,1912,793],{"class":683},[609,1914,1915,1917,1918,1920,1921,1923,1924,1927,1928,1930,1931,1933],{},[612,1916,1793],{}," returns the same middleware that ",[612,1919,614],{}," uses internally. The difference: ",[612,1922,1793],{}," does not include ",[612,1925,1926],{},"captureEmbed"," (embedding models don't use middleware). Use ",[612,1929,614],{}," for the full API, ",[612,1932,1793],{}," when you need explicit middleware ordering.",[1935,1936,1937],"style",{},"html pre.shiki code .s7zQu, html code.shiki .s7zQu{--shiki-light:#39ADB5;--shiki-light-font-style:italic;--shiki-default:#89DDFF;--shiki-default-font-style:italic;--shiki-dark:#89DDFF;--shiki-dark-font-style:italic}html pre.shiki code .sMK4o, html code.shiki .sMK4o{--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF}html pre.shiki code .sTEyZ, html code.shiki .sTEyZ{--shiki-light:#90A4AE;--shiki-default:#EEFFFF;--shiki-dark:#BABED8}html pre.shiki code .sfazB, html code.shiki .sfazB{--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D}html pre.shiki code .s2Zo4, html code.shiki .s2Zo4{--shiki-light:#6182B8;--shiki-default:#82AAFF;--shiki-dark:#82AAFF}html pre.shiki code .spNyl, html code.shiki .spNyl{--shiki-light:#9C3EDA;--shiki-default:#C792EA;--shiki-dark:#C792EA}html pre.shiki code .sHdIc, html code.shiki .sHdIc{--shiki-light:#90A4AE;--shiki-light-font-style:italic;--shiki-default:#EEFFFF;--shiki-default-font-style:italic;--shiki-dark:#BABED8;--shiki-dark-font-style:italic}html pre.shiki code .swJcz, html code.shiki .swJcz{--shiki-light:#E53935;--shiki-default:#F07178;--shiki-dark:#F07178}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sBMFI, html code.shiki .sBMFI{--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B}html pre.shiki code .sbssI, html code.shiki .sbssI{--shiki-light:#F76D47;--shiki-default:#F78C6C;--shiki-dark:#F78C6C}html pre.shiki code .sfNiH, html code.shiki .sfNiH{--shiki-light:#FF5370;--shiki-default:#FF9CAC;--shiki-dark:#FF9CAC}",{"title":665,"searchDepth":703,"depth":703,"links":1939},[1940,1941,1942,1943],{"id":645,"depth":703,"text":646},{"id":1348,"depth":703,"text":1349},{"id":1464,"depth":703,"text":1465},{"id":1601,"depth":703,"text":1602},"Add tool execution timing and total wall time with createEvlogIntegration. Compose with other middleware like supermemory or guardrails.","md",[1947,1950],{"label":41,"icon":44,"to":338,"color":1948,"variant":1949},"neutral","subtle",{"label":1951,"icon":344,"to":342,"color":1948,"variant":1949},"Usage Patterns",{},{"title":356,"icon":137},{"title":604,"description":1944},"A_8F7x-irAhP-nYueAGxsAel5WaqZ66Yiz9DymPSEY4",[1957,1959],{"title":351,"path":352,"stem":353,"description":1958,"icon":354,"children":-1},"Read AI metadata from your handler — persist it, surface it to end-users, bill against it, or stream incremental progress to the client.",{"title":41,"path":366,"stem":367,"description":1960,"icon":44,"children":-1},"Identify the user on authenticated requests, so each wide event carries who made it without a manual log.set call.",1791049457592]