chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,137 @@
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import type { ToolConfig } from '@/tools/types'
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import type { ProfoundRawLogsParams, ProfoundRawLogsResponse } from './types'
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export const profoundRawLogsTool: ToolConfig<ProfoundRawLogsParams, ProfoundRawLogsResponse> = {
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id: 'profound_raw_logs',
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name: 'Profound Raw Logs',
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description: 'Get raw traffic logs with filters for a domain in Profound',
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version: '1.0.0',
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params: {
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apiKey: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'Profound API Key',
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},
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domain: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description: 'Domain to query logs for (e.g. example.com)',
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},
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startDate: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description: 'Start date (YYYY-MM-DD or ISO 8601)',
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},
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endDate: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'End date (YYYY-MM-DD or ISO 8601). Defaults to now',
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},
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dimensions: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description:
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'Comma-separated dimensions: timestamp, method, host, path, status_code, ip, user_agent, referer, bytes_sent, duration_ms, query_params',
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},
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filters: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description:
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'JSON array of filter objects, e.g. [{"field":"path","operator":"contains","value":"/blog"}]',
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},
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limit: {
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type: 'number',
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required: false,
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visibility: 'user-or-llm',
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description: 'Maximum number of results (default 10000, max 50000)',
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},
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},
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request: {
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url: 'https://api.tryprofound.com/v1/logs/raw',
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method: 'POST',
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headers: (params) => ({
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'X-API-Key': params.apiKey,
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'Content-Type': 'application/json',
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Accept: 'application/json',
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}),
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body: (params) => {
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const body: Record<string, unknown> = {
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domain: params.domain,
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start_date: params.startDate,
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metrics: ['count'],
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}
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if (params.endDate) {
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body.end_date = params.endDate
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}
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if (params.dimensions) {
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body.dimensions = params.dimensions.split(',').map((d) => d.trim())
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}
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if (params.filters) {
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try {
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body.filters = JSON.parse(params.filters)
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} catch {
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throw new Error('Invalid JSON in filters parameter')
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}
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}
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if (params.limit != null) {
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body.pagination = { limit: params.limit }
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}
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return body
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},
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},
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transformResponse: async (response) => {
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const data = await response.json()
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if (!response.ok) {
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throw new Error(data.detail?.[0]?.msg || 'Failed to get raw logs')
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}
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if (Array.isArray(data)) {
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return {
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success: true,
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output: {
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totalRows: data.length,
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data: data.map((row: { metrics: number[]; dimensions: string[] }) => ({
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metrics: row.metrics ?? [],
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dimensions: row.dimensions ?? [],
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})),
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},
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}
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}
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return {
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success: true,
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output: {
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totalRows: data.info?.total_rows ?? 0,
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data: (data.data ?? []).map((row: { metrics: number[]; dimensions: string[] }) => ({
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metrics: row.metrics ?? [],
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dimensions: row.dimensions ?? [],
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})),
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},
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}
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},
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outputs: {
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totalRows: {
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type: 'number',
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description: 'Total number of log entries',
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},
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data: {
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type: 'json',
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description: 'Log data rows with metrics and dimension values',
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properties: {
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metrics: { type: 'json', description: 'Array of metric values (count)' },
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dimensions: {
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type: 'json',
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description: 'Array of dimension values matching requested dimensions order',
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},
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},
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},
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},
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}
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