NL → Code Agent

Describe what you want in plain English. Get TypeScript code back.

\n \n

\n \n \n \n \n \n \n \n

\n ${code ? `

Generated Code

${code.replace(//g, \">\")}

` : \"\"}\n

\n\n`);\n});\n\n// ── Dataset routes ──\n\n// Browse dataset with pagination (JSON API)\napp.get(\"/dataset\", async (c) => {\n const offset = parseInt(c.req.query(\"offset\") ?? \"0\", 10);\n const length = Math.min(parseInt(c.req.query(\"length\") ?? \"10\", 10), 100);\n const page = await loadDatasetPage(offset, length);\n return c.json(page);\n});\n\n// Dataset metadata\napp.get(\"/dataset/info\", async (c) => {\n const info = await getDatasetInfo();\n return c.json(info);\n});\n\n// Search dataset by keyword\napp.get(\"/dataset/search\", async (c) => {\n const q = c.req.query(\"q\") ?? \"\";\n const limit = parseInt(c.req.query(\"limit\") ?? \"10\", 10);\n if (!q) return c.json({ error: \"Provide ?q=keyword\" }, 400);\n const results = await searchDataset(q, limit);\n return c.json({ query: q, results });\n});\n\n// Get a specific row by index\napp.get(\"/dataset/row/:idx\", async (c) => {\n const idx = parseInt(c.req.param(\"idx\"), 10);\n const page = await loadDatasetPage(idx, 1);\n if (page.rows.length === 0) return c.json({ error: \"Row not found\" }, 404);\n return c.json(page.rows[0]);\n});\n\n// ── Analytics routes ──\n\n// JSON 분석 데이터 (전체 4,665행 fetch → 통계 계산)\napp.get(\"/dataset/analytics\", async (c) => {\n const result = await computeAnalytics();\n return c.json(result);\n});\n\n// 분석 대시보드 (HTML)\napp.get(\"/dataset/analytics/dashboard\", async (c) => {\n return await serveFile(\"analytics-dashboard.html\");\n});\n\n// Always add this for full stack traces on errors:\napp.onError((err) => Promise.reject(err));\n\nexport default app.fetch;\n","children",[],[75],"9aa65419-198a-48d3-9b42-6aface389761","analytics-dashboard.html","bc334f7a-7a83-11f1-8dbf-1607ee4eb77e",9,["D",1783484164189],"\n\n\n\n\nFable-5-Traces Analytics\n\n\n\n

\n ← NL → Code Agent\n

Fable-5-Traces 데이터셋 분석

Glint-Research/Fable-5-traces — 4,665개 AI 에이전트 실행 기록 통계

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전체 4,665개 행을 병렬로 fetch 중... (약 5-15초 소요)

\n\n \n

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NL → Code Agent

Fable-5-Traces 데이터셋 분석

도구 호출 횟수 분포

사용자 메시지 수 분포

프롬프트 길이 분포 (문자 수)

턴 카운트 분포

모델 분포

사고 수준 (Thinking Level)

상위 15개 도구

날짜별 트레이스 수