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",[618,619,620],"code",{},"ai"," metadata, but you often want the same data inside your handler: to persist it, surface it to end-users, bill against it, or stream incremental progress to the client.",[614,623,624,627],{},[618,625,626],{},"AILogger"," exposes three methods for that, with no need to touch internal state.",[629,630,632,635],"h2",{"id":631},"getmetadata-final-snapshot",[618,633,634],{},"getMetadata()",": final snapshot",[614,637,638,639,642,643,645,646,649],{},"Returns a structured ",[618,640,641],{},"AIMetadata"," object that mirrors the ",[618,644,620],{}," field on the wide event. Safe to call at any point, including after the run completes or inside the AI SDK's ",[618,647,648],{},"onFinish",":",[651,652,658],"pre",{"className":653,"code":654,"filename":655,"language":656,"meta":657,"style":657},"language-typescript shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","import { useLogger } from 'evlog'\nimport { createAILogger } from 'evlog\u002Fai'\nimport { generateText } from 'ai'\n\nexport default defineEventHandler(async (event) => {\n  const log = useLogger(event)\n  const ai = createAILogger(log, {\n    cost: { 'claude-sonnet-4.6': { input: 3, output: 15 } },\n  })\n\n  await generateText({\n    model: ai.wrap('anthropic\u002Fclaude-sonnet-4.6'),\n    prompt: 'Summarize this document',\n  })\n\n  const metadata = ai.getMetadata()\n\n  await db.aiRuns.insert({\n    userId: event.context.userId,\n    model: metadata.model,\n    inputTokens: metadata.inputTokens,\n    outputTokens: metadata.outputTokens,\n    estimatedCost: metadata.estimatedCost,\n    finishReason: metadata.finishReason,\n    responseId: metadata.responseId,\n  })\n\n  return { ok: true }\n})\n","server\u002Fapi\u002Fchat.post.ts","typescript","",[618,659,660,693,714,734,741,777,799,821,867,875,880,893,923,940,947,952,972,977,999,1022,1038,1055,1072,1089,1106,1123,1130,1135,1155],{"__ignoreMap":657},[661,662,665,669,673,677,680,683,686,690],"span",{"class":663,"line":664},"line",1,[661,666,668],{"class":667},"s7zQu","import",[661,670,672],{"class":671},"sMK4o"," {",[661,674,676],{"class":675},"sTEyZ"," useLogger",[661,678,679],{"class":671}," }",[661,681,682],{"class":667}," from",[661,684,685],{"class":671}," '",[661,687,689],{"class":688},"sfazB","evlog",[661,691,692],{"class":671},"'\n",[661,694,696,698,700,703,705,707,709,712],{"class":663,"line":695},2,[661,697,668],{"class":667},[661,699,672],{"class":671},[661,701,702],{"class":675}," 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await",[661,887,723],{"class":752},[661,889,756],{"class":793},[661,891,892],{"class":671},"{\n",[661,894,896,899,901,903,906,909,911,913,916,918,920],{"class":663,"line":895},12,[661,897,898],{"class":793},"    model",[661,900,649],{"class":671},[661,902,806],{"class":675},[661,904,905],{"class":671},".",[661,907,908],{"class":752},"wrap",[661,910,756],{"class":793},[661,912,838],{"class":671},[661,914,915],{"class":688},"anthropic\u002Fclaude-sonnet-4.6",[661,917,838],{"class":671},[661,919,770],{"class":793},[661,921,922],{"class":671},",\n",[661,924,926,929,931,933,936,938],{"class":663,"line":925},13,[661,927,928],{"class":793},"    prompt",[661,930,649],{"class":671},[661,932,685],{"class":671},[661,934,935],{"class":688},"Summarize this 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}\n",[661,1156,1158,1161],{"class":663,"line":1157},29,[661,1159,1160],{"class":671},"}",[661,1162,798],{"class":675},[614,1164,1165],{},"The snapshot is a fresh copy: mutating it never affects the underlying state or subsequent calls.",[629,1167,1169,1172],{"id":1168},"getestimatedcost-quick-cost-check",[618,1170,1171],{},"getEstimatedCost()",": quick cost check",[614,1174,1175,1176,1179,1180,1183,1184,1187],{},"Convenience for ",[618,1177,1178],{},"getMetadata().estimatedCost",". Returns the cost in dollars, or ",[618,1181,1182],{},"undefined"," if no ",[618,1185,1186],{},"cost"," map was provided or the model is not in the map.",[651,1189,1191],{"className":653,"code":1190,"language":656,"meta":657,"style":657},"const ai = createAILogger(log, {\n  cost: { 'claude-sonnet-4.6': { input: 3, output: 15 } },\n})\n\nawait generateText({ model: ai.wrap('anthropic\u002Fclaude-sonnet-4.6'), prompt })\n\nconst cost = ai.getEstimatedCost()\nconsole.log(`This call cost $${cost?.toFixed(4)}`)\n",[618,1192,1193,1213,1250,1256,1260,1302,1306,1324],{"__ignoreMap":657},[661,1194,1195,1198,1201,1204,1206,1209,1211],{"class":663,"line":664},[661,1196,1197],{"class":759},"const",[661,1199,1200],{"class":675}," ai ",[661,1202,1203],{"class":671},"=",[661,1205,702],{"class":752},[661,1207,1208],{"class":675},"(log",[661,1210,818],{"class":671},[661,1212,776],{"class":671},[661,1214,1215,1218,1220,1222,1224,1226,1228,1230,1232,1234,1236,1238,1240,1242,1244,1246,1248],{"class":663,"line":695},[661,1216,1217],{"class":793},"  cost",[661,1219,649],{"class":671},[661,1221,672],{"class":671},[661,1223,685],{"class":671},[661,1225,835],{"class":793},[661,1227,838],{"class":671},[661,1229,649],{"class":671},[661,1231,672],{"class":671},[661,1233,845],{"class":793},[661,1235,649],{"class":671},[661,1237,851],{"class":850},[661,1239,818],{"class":671},[661,1241,856],{"class":793},[661,1243,649],{"class":671},[661,1245,861],{"class":850},[661,1247,679],{"class":671},[661,1249,866],{"class":671},[661,1251,1252,1254],{"class":663,"line":716},[661,1253,1160],{"class":671},[661,1255,798],{"class":675},[661,1257,1258],{"class":663,"line":736},[661,1259,740],{"emptyLinePlaceholder":739},[661,1261,1262,1265,1267,1269,1272,1275,1277,1279,1281,1283,1285,1287,1289,1291,1293,1295,1298,1300],{"class":663,"line":743},[661,1263,1264],{"class":667},"await",[661,1266,723],{"class":752},[661,1268,756],{"class":675},[661,1270,1271],{"class":671},"{",[661,1273,1274],{"class":793}," model",[661,1276,649],{"class":671},[661,1278,806],{"class":675},[661,1280,905],{"class":671},[661,1282,908],{"class":752},[661,1284,756],{"class":675},[661,1286,838],{"class":671},[661,1288,915],{"class":688},[661,1290,838],{"class":671},[661,1292,770],{"class":675},[661,1294,818],{"class":671},[661,1296,1297],{"class":675}," prompt ",[661,1299,1160],{"class":671},[661,1301,798],{"class":675},[661,1303,1304],{"class":663,"line":779},[661,1305,740],{"emptyLinePlaceholder":739},[661,1307,1308,1310,1313,1315,1317,1319,1322],{"class":663,"line":801},[661,1309,1197],{"class":759},[661,1311,1312],{"class":675}," cost ",[661,1314,1203],{"class":671},[661,1316,806],{"class":675},[661,1318,905],{"class":671},[661,1320,1321],{"class":752},"getEstimatedCost",[661,1323,971],{"class":675},[661,1325,1326,1329,1331,1333,1335,1338,1341,1344,1346,1349,1352,1354,1357,1359,1362],{"class":663,"line":823},[661,1327,1328],{"class":675},"console",[661,1330,905],{"class":671},[661,1332,815],{"class":752},[661,1334,756],{"class":675},[661,1336,1337],{"class":671},"`",[661,1339,1340],{"class":688},"This call cost $",[661,1342,1343],{"class":671},"${",[661,1345,1186],{"class":675},[661,1347,1348],{"class":671},"?.",[661,1350,1351],{"class":752},"toFixed",[661,1353,756],{"class":675},[661,1355,1356],{"class":850},"4",[661,1358,770],{"class":675},[661,1360,1361],{"class":671},"}`",[661,1363,798],{"class":675},[629,1365,1367,1370],{"id":1366},"onupdatecallback-incremental-updates",[618,1368,1369],{},"onUpdate(callback)",": incremental updates",[614,1372,1373],{},"Subscribe to metadata updates. The callback fires every time the underlying state flushes:",[1375,1376,1377,1381,1388,1391],"ul",{},[1378,1379,1380],"li",{},"Once per step in multi-step agent runs",[1378,1382,1383,1384,1387],{},"Once per ",[618,1385,1386],{},"captureEmbed"," call",[1378,1389,1390],{},"On model errors",[1378,1392,1393,1394,1397,1398,1401,1402,1404],{},"On ",[618,1395,1396],{},"createEvlogIntegration","'s ",[618,1399,1400],{},"onEnd"," (v7) or ",[618,1403,648],{}," (v6)",[614,1406,1407],{},"Each invocation receives a fresh snapshot. Returns an unsubscribe function. Subscriber errors are isolated and never break the AI flow.",[651,1409,1412],{"className":653,"code":1410,"filename":1411,"language":656,"meta":657,"style":657},"import { ToolLoopAgent, createAgentUIStreamResponse, stepCountIs } from 'ai'\nimport { useLogger } from 'evlog'\nimport { createAILogger } from 'evlog\u002Fai'\n\nexport default defineEventHandler(async (event) => {\n  const log = useLogger(event)\n  const { messages } = await readBody(event)\n  const ai = createAILogger(log)\n\n  ai.onUpdate((metadata) => {\n    pushToClient(event, {\n      type: 'ai-progress',\n      step: metadata.steps,\n      tokens: metadata.totalTokens,\n      cost: metadata.estimatedCost,\n    })\n  })\n\n  const agent = new ToolLoopAgent({\n    model: ai.wrap('anthropic\u002Fclaude-sonnet-4.6'),\n    tools: { searchWeb, queryDatabase },\n    stopWhen: stepCountIs(5),\n  })\n\n  return createAgentUIStreamResponse({ agent, uiMessages: messages })\n})\n","server\u002Fapi\u002Fagent.post.ts",[618,1413,1414,1443,1461,1479,1483,1505,1521,1546,1562,1566,1589,1602,1618,1634,1650,1665,1672,1678,1682,1700,1724,1743,1761,1767,1771,1796],{"__ignoreMap":657},[661,1415,1416,1418,1420,1423,1425,1428,1430,1433,1435,1437,1439,1441],{"class":663,"line":664},[661,1417,668],{"class":667},[661,1419,672],{"class":671},[661,1421,1422],{"class":675}," ToolLoopAgent",[661,1424,818],{"class":671},[661,1426,1427],{"class":675}," createAgentUIStreamResponse",[661,1429,818],{"class":671},[661,1431,1432],{"class":675}," 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messages",[661,1531,679],{"class":671},[661,1533,788],{"class":671},[661,1535,1536],{"class":667}," await",[661,1538,1539],{"class":752}," readBody",[661,1541,756],{"class":793},[661,1543,767],{"class":675},[661,1545,798],{"class":793},[661,1547,1548,1550,1552,1554,1556,1558,1560],{"class":663,"line":823},[661,1549,782],{"class":759},[661,1551,806],{"class":675},[661,1553,788],{"class":671},[661,1555,702],{"class":752},[661,1557,756],{"class":793},[661,1559,815],{"class":675},[661,1561,798],{"class":793},[661,1563,1564],{"class":663,"line":869},[661,1565,740],{"emptyLinePlaceholder":739},[661,1567,1568,1571,1573,1576,1578,1580,1583,1585,1587],{"class":663,"line":877},[661,1569,1570],{"class":675},"  ai",[661,1572,905],{"class":671},[661,1574,1575],{"class":752},"onUpdate",[661,1577,756],{"class":793},[661,1579,756],{"class":671},[661,1581,1582],{"class":766},"metadata",[661,1584,770],{"class":671},[661,1586,773],{"class":759},[661,1588,776],{"class":671},[661,1590,1591,1594,1596,1598,1600],{"class":663,"line":882},[661,1592,1593],{"class":752},"    pushToClient",[661,1595,756],{"class":793},[661,1597,767],{"class":675},[661,1599,818],{"class":671},[661,1601,776],{"class":671},[661,1603,1604,1607,1609,1611,1614,1616],{"class":663,"line":895},[661,1605,1606],{"class":793},"      type",[661,1608,649],{"class":671},[661,1610,685],{"class":671},[661,1612,1613],{"class":688},"ai-progress",[661,1615,838],{"class":671},[661,1617,922],{"class":671},[661,1619,1620,1623,1625,1627,1629,1632],{"class":663,"line":925},[661,1621,1622],{"class":793},"      step",[661,1624,649],{"class":671},[661,1626,959],{"class":675},[661,1628,905],{"class":671},[661,1630,1631],{"class":675},"steps",[661,1633,922],{"class":671},[661,1635,1636,1639,1641,1643,1645,1648],{"class":663,"line":942},[661,1637,1638],{"class":793},"      tokens",[661,1640,649],{"class":671},[661,1642,959],{"class":675},[661,1644,905],{"class":671},[661,1646,1647],{"class":675},"totalTokens",[661,1649,922],{"class":671},[661,1651,1652,1655,1657,1659,1661,1663],{"class":663,"line":949},[661,1653,1654],{"class":793},"      cost",[661,1656,649],{"class":671},[661,1658,959],{"class":675},[661,1660,905],{"class":671},[661,1662,1086],{"class":675},[661,1664,922],{"class":671},[661,1666,1667,1670],{"class":663,"line":954},[661,1668,1669],{"class":671},"    }",[661,1671,798],{"class":793},[661,1673,1674,1676],{"class":663,"line":974},[661,1675,872],{"class":671},[661,1677,798],{"class":793},[661,1679,1680],{"class":663,"line":979},[661,1681,740],{"emptyLinePlaceholder":739},[661,1683,1684,1686,1689,1691,1694,1696,1698],{"class":663,"line":1001},[661,1685,782],{"class":759},[661,1687,1688],{"class":675}," agent",[661,1690,788],{"class":671},[661,1692,1693],{"class":671}," new",[661,1695,1422],{"class":752},[661,1697,756],{"class":793},[661,1699,892],{"class":671},[661,1701,1702,1704,1706,1708,1710,1712,1714,1716,1718,1720,1722],{"class":663,"line":1024},[661,1703,898],{"class":793},[661,1705,649],{"class":671},[661,1707,806],{"class":675},[661,1709,905],{"class":671},[661,1711,908],{"class":752},[661,1713,756],{"class":793},[661,1715,838],{"class":671},[661,1717,915],{"class":688},[661,1719,838],{"class":671},[661,1721,770],{"class":793},[661,1723,922],{"class":671},[661,1725,1726,1729,1731,1733,1736,1738,1741],{"class":663,"line":1040},[661,1727,1728],{"class":793},"    tools",[661,1730,649],{"class":671},[661,1732,672],{"class":671},[661,1734,1735],{"class":675}," searchWeb",[661,1737,818],{"class":671},[661,1739,1740],{"class":675}," queryDatabase",[661,1742,866],{"class":671},[661,1744,1745,1748,1750,1752,1754,1757,1759],{"class":663,"line":1057},[661,1746,1747],{"class":793},"    stopWhen",[661,1749,649],{"class":671},[661,1751,1432],{"class":752},[661,1753,756],{"class":793},[661,1755,1756],{"class":850},"5",[661,1758,770],{"class":793},[661,1760,922],{"class":671},[661,1762,1763,1765],{"class":663,"line":1074},[661,1764,872],{"class":671},[661,1766,798],{"class":793},[661,1768,1769],{"class":663,"line":1091},[661,1770,740],{"emptyLinePlaceholder":739},[661,1772,1773,1775,1777,1779,1781,1783,1785,1788,1790,1792,1794],{"class":663,"line":1108},[661,1774,1140],{"class":667},[661,1776,1427],{"class":752},[661,1778,756],{"class":793},[661,1780,1271],{"class":671},[661,1782,1688],{"class":675},[661,1784,818],{"class":671},[661,1786,1787],{"class":793}," uiMessages",[661,1789,649],{"class":671},[661,1791,1529],{"class":675},[661,1793,679],{"class":671},[661,1795,798],{"class":793},[661,1797,1798,1800],{"class":663,"line":1125},[661,1799,1160],{"class":671},[661,1801,798],{"class":675},[614,1803,1804],{},"For one-off cleanup:",[651,1806,1808],{"className":653,"code":1807,"language":656,"meta":657,"style":657},"const off = ai.onUpdate((metadata) => { \u002F* ... *\u002F })\n\u002F\u002F later\noff()\n",[618,1809,1810,1845,1850],{"__ignoreMap":657},[661,1811,1812,1814,1817,1819,1821,1823,1825,1827,1829,1831,1833,1835,1837,1841,1843],{"class":663,"line":664},[661,1813,1197],{"class":759},[661,1815,1816],{"class":675}," off ",[661,1818,1203],{"class":671},[661,1820,806],{"class":675},[661,1822,905],{"class":671},[661,1824,1575],{"class":752},[661,1826,756],{"class":675},[661,1828,756],{"class":671},[661,1830,1582],{"class":766},[661,1832,770],{"class":671},[661,1834,773],{"class":759},[661,1836,672],{"class":671},[661,1838,1840],{"class":1839},"sHwdD"," \u002F* ... *\u002F",[661,1842,679],{"class":671},[661,1844,798],{"class":675},[661,1846,1847],{"class":663,"line":695},[661,1848,1849],{"class":1839},"\u002F\u002F later\n",[661,1851,1852,1855],{"class":663,"line":716},[661,1853,1854],{"class":752},"off",[661,1856,971],{"class":675},[629,1858,1860,1862],{"id":1859},"aimetadata-shape",[618,1861,641],{}," shape",[614,1864,1865,1867,1868,1870,1871,1873,1874,1876],{},[618,1866,641],{}," is a public type alias for the snapshot returned by ",[618,1869,634],{}," and passed to ",[618,1872,1575],{}," listeners. It has the same shape as the ",[618,1875,620],{}," field on the wide event.",[651,1878,1880],{"className":653,"code":1879,"language":656,"meta":657,"style":657},"import type { AIMetadata, AIMetadataListener } from 'evlog\u002Fai'\n\nfunction handleProgress(metadata: AIMetadata) {\n  console.log(`${metadata.calls} calls, $${metadata.estimatedCost ?? 0}`)\n}\n\nconst listener: AIMetadataListener = handleProgress\nai.onUpdate(listener)\n",[618,1881,1882,1909,1913,1934,1979,1984,1988,2004],{"__ignoreMap":657},[661,1883,1884,1886,1889,1891,1894,1896,1899,1901,1903,1905,1907],{"class":663,"line":664},[661,1885,668],{"class":667},[661,1887,1888],{"class":667}," type",[661,1890,672],{"class":671},[661,1892,1893],{"class":675}," AIMetadata",[661,1895,818],{"class":671},[661,1897,1898],{"class":675}," 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console",[661,1940,905],{"class":671},[661,1942,815],{"class":752},[661,1944,756],{"class":793},[661,1946,1947],{"class":671},"`${",[661,1949,1582],{"class":675},[661,1951,905],{"class":671},[661,1953,1954],{"class":675},"calls",[661,1956,1160],{"class":671},[661,1958,1959],{"class":688}," calls, $",[661,1961,1343],{"class":671},[661,1963,1582],{"class":675},[661,1965,905],{"class":671},[661,1967,1968],{"class":675},"estimatedCost ",[661,1970,1971],{"class":671},"??",[661,1973,1974],{"class":850}," 0",[661,1976,1361],{"class":671},[661,1978,798],{"class":793},[661,1980,1981],{"class":663,"line":743},[661,1982,1983],{"class":671},"}\n",[661,1985,1986],{"class":663,"line":779},[661,1987,740],{"emptyLinePlaceholder":739},[661,1989,1990,1992,1995,1997,1999,2001],{"class":663,"line":801},[661,1991,1197],{"class":759},[661,1993,1994],{"class":675}," listener",[661,1996,649],{"class":671},[661,1998,1898],{"class":1929},[661,2000,788],{"class":671},[661,2002,2003],{"class":675}," handleProgress\n",[661,2005,2006,2008,2010,2012],{"class":663,"line":823},[661,2007,620],{"class":675},[661,2009,905],{"class":671},[661,2011,1575],{"class":752},[661,2013,2014],{"class":675},"(listener)\n",[629,2016,2018],{"id":2017},"every-field-the-middleware-records","Every field the middleware records",[614,2020,2021,2022,649],{},"Every field that may show up under ",[618,2023,2024],{},"ai.*",[2026,2027,2028,2044],"table",{},[2029,2030,2031],"thead",{},[2032,2033,2034,2038,2041],"tr",{},[2035,2036,2037],"th",{},"Wide event field",[2035,2039,2040],{},"Source",[2035,2042,2043],{},"Description",[2045,2046,2047,2061,2076,2089,2115,2130,2145,2160,2175,2190,2205,2226,2250,2268,2288,2303,2316,2329,2342,2354,2366,2379,2398,2412,2429],"tbody",{},[2032,2048,2049,2055,2058],{},[2050,2051,2052],"td",{},[618,2053,2054],{},"ai.calls",[2050,2056,2057],{},"Call count",[2050,2059,2060],{},"Number of AI calls in this request",[2032,2062,2063,2068,2073],{},[2050,2064,2065],{},[618,2066,2067],{},"ai.model",[2050,2069,2070],{},[618,2071,2072],{},"response.modelId",[2050,2074,2075],{},"Model that served the response",[2032,2077,2078,2083,2086],{},[2050,2079,2080],{},[618,2081,2082],{},"ai.models",[2050,2084,2085],{},"All model IDs",[2050,2087,2088],{},"Array of all models used (only when > 1)",[2032,2090,2091,2096,2101],{},[2050,2092,2093],{},[618,2094,2095],{},"ai.provider",[2050,2097,2098],{},[618,2099,2100],{},"model.provider",[2050,2102,2103,2104,2107,2108,2107,2111,2114],{},"Provider (",[618,2105,2106],{},"anthropic",", ",[618,2109,2110],{},"openai",[618,2112,2113],{},"google",", etc.)",[2032,2116,2117,2122,2127],{},[2050,2118,2119],{},[618,2120,2121],{},"ai.inputTokens",[2050,2123,2124],{},[618,2125,2126],{},"usage.inputTokens.total",[2050,2128,2129],{},"Total input tokens across all calls",[2032,2131,2132,2137,2142],{},[2050,2133,2134],{},[618,2135,2136],{},"ai.outputTokens",[2050,2138,2139],{},[618,2140,2141],{},"usage.outputTokens.total",[2050,2143,2144],{},"Total output tokens across all calls",[2032,2146,2147,2152,2155],{},[2050,2148,2149],{},[618,2150,2151],{},"ai.totalTokens",[2050,2153,2154],{},"Computed",[2050,2156,2157],{},[618,2158,2159],{},"inputTokens + outputTokens",[2032,2161,2162,2167,2172],{},[2050,2163,2164],{},[618,2165,2166],{},"ai.cacheReadTokens",[2050,2168,2169],{},[618,2170,2171],{},"usage.inputTokens.cacheRead",[2050,2173,2174],{},"Tokens served from prompt cache",[2032,2176,2177,2182,2187],{},[2050,2178,2179],{},[618,2180,2181],{},"ai.cacheWriteTokens",[2050,2183,2184],{},[618,2185,2186],{},"usage.inputTokens.cacheWrite",[2050,2188,2189],{},"Tokens written to prompt cache",[2032,2191,2192,2197,2202],{},[2050,2193,2194],{},[618,2195,2196],{},"ai.reasoningTokens",[2050,2198,2199],{},[618,2200,2201],{},"usage.outputTokens.reasoning",[2050,2203,2204],{},"Reasoning tokens (extended thinking)",[2032,2206,2207,2212,2217],{},[2050,2208,2209],{},[618,2210,2211],{},"ai.finishReason",[2050,2213,2214],{},[618,2215,2216],{},"finishReason.unified",[2050,2218,2219,2220,2107,2223,2114],{},"Why generation ended (",[618,2221,2222],{},"stop",[618,2224,2225],{},"tool-calls",[2032,2227,2228,2233,2236],{},[2050,2229,2230],{},[618,2231,2232],{},"ai.toolCalls",[2050,2234,2235],{},"Content \u002F stream chunks",[2050,2237,2238,2241,2242,2245,2246,2249],{},[618,2239,2240],{},"string[]"," of tool names by default, or ",[618,2243,2244],{},"Array\u003C{ name, input }>"," when ",[618,2247,2248],{},"toolInputs"," is enabled",[2032,2251,2252,2257,2262],{},[2050,2253,2254],{},[618,2255,2256],{},"ai.responseId",[2050,2258,2259],{},[618,2260,2261],{},"response.id",[2050,2263,2264,2265,770],{},"Provider-assigned response ID (e.g. Anthropic's ",[618,2266,2267],{},"msg_...",[2032,2269,2270,2275,2281],{},[2050,2271,2272],{},[618,2273,2274],{},"ai.prompt",[2050,2276,2277,2278],{},"First call's ",[618,2279,2280],{},"params.prompt",[2050,2282,2283,2284,2287],{},"Formatted text of the prompt sent to the first model call (only when the ",[618,2285,2286],{},"prompt"," option is enabled)",[2032,2289,2290,2295,2297],{},[2050,2291,2292],{},[618,2293,2294],{},"ai.output",[2050,2296,2235],{},[2050,2298,2299,2300,2287],{},"Text generated by the last model call (only when the ",[618,2301,2302],{},"output",[2032,2304,2305,2310,2313],{},[2050,2306,2307],{},[618,2308,2309],{},"ai.steps",[2050,2311,2312],{},"Step count",[2050,2314,2315],{},"Number of LLM calls (only when > 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