chore: import upstream snapshot with attribution
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@@ -0,0 +1,111 @@
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import type { QueryTimeseriesParams, QueryTimeseriesResponse } from '@/tools/datadog/types'
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import type { ToolConfig } from '@/tools/types'
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export const queryTimeseriesTool: ToolConfig<QueryTimeseriesParams, QueryTimeseriesResponse> = {
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id: 'datadog_query_timeseries',
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name: 'Datadog Query Timeseries',
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description:
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'Query metric timeseries data from Datadog. Use for analyzing trends, creating reports, or retrieving metric values.',
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version: '1.0.0',
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params: {
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query: {
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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:
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'Datadog metrics query (e.g., "avg:system.cpu.user{*}", "sum:nginx.requests{env:prod}.as_count()")',
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},
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from: {
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type: 'number',
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required: true,
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visibility: 'user-or-llm',
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description: 'Start time as Unix timestamp in seconds (e.g., 1705320000)',
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},
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to: {
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type: 'number',
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required: true,
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visibility: 'user-or-llm',
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description: 'End time as Unix timestamp in seconds (e.g., 1705323600)',
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},
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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: 'Datadog API key',
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},
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applicationKey: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'Datadog Application key',
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},
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site: {
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type: 'string',
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required: false,
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visibility: 'user-only',
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description: 'Datadog site/region (default: datadoghq.com)',
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},
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},
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request: {
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url: (params) => {
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const site = params.site || 'datadoghq.com'
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const queryParams = new URLSearchParams({
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query: params.query,
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from: String(params.from),
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to: String(params.to),
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})
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return `https://api.${site}/api/v1/query?${queryParams.toString()}`
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},
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method: 'GET',
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headers: (params) => ({
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'Content-Type': 'application/json',
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'DD-API-KEY': params.apiKey,
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'DD-APPLICATION-KEY': params.applicationKey,
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}),
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},
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transformResponse: async (response: Response) => {
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if (!response.ok) {
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const errorData = await response.json().catch(() => ({}))
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return {
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success: false,
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output: {
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series: [],
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status: 'error',
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},
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error: errorData.errors?.[0] || `HTTP ${response.status}: ${response.statusText}`,
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}
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}
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const data = await response.json()
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const series = (data.series || []).map((s: any) => ({
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metric: s.metric || s.expression,
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tags: s.tag_set || [],
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points: (s.pointlist || []).map((p: [number, number]) => ({
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timestamp: p[0] / 1000, // Convert from milliseconds to seconds
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value: p[1],
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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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series,
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status: data.status || 'ok',
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},
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}
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},
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outputs: {
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series: {
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type: 'array',
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description: 'Array of timeseries data with metric name, tags, and data points',
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},
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status: {
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type: 'string',
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description: 'Query status',
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},
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},
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}
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