chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,171 @@
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import { createLogger } from '@sim/logger'
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import { sleep } from '@sim/utils/helpers'
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import { DEFAULT_EXECUTION_TIMEOUT_MS } from '@/lib/core/execution-limits'
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import type { ExaResearchParams, ExaResearchResponse } from '@/tools/exa/types'
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import type { ToolConfig } from '@/tools/types'
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const logger = createLogger('ExaResearchTool')
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const POLL_INTERVAL_MS = 5000
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const MAX_POLL_TIME_MS = DEFAULT_EXECUTION_TIMEOUT_MS
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export const researchTool: ToolConfig<ExaResearchParams, ExaResearchResponse> = {
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id: 'exa_research',
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name: 'Exa Research',
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description:
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'Perform comprehensive research using AI to generate detailed reports with citations',
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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: 'Research query or topic',
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},
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model: {
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type: 'string',
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required: false,
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visibility: 'user-only',
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description: 'Research model: exa-research-fast, exa-research (default), or exa-research-pro',
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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: 'Exa AI API Key',
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},
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},
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request: {
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url: 'https://api.exa.ai/research/v1',
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method: 'POST',
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headers: (params) => ({
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'Content-Type': 'application/json',
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'x-api-key': params.apiKey,
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}),
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body: (params) => {
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const body: any = {
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instructions: params.query,
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}
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// Add model if specified, otherwise use default
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if (params.model) {
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body.model = params.model
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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: Response) => {
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const data = await response.json()
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return {
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success: true,
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output: {
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taskId: data.researchId,
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research: [],
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},
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}
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},
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postProcess: async (result, params) => {
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if (!result.success) {
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return result
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}
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const taskId = result.output.taskId
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logger.info(`Exa research task ${taskId} created, polling for completion...`)
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let elapsedTime = 0
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while (elapsedTime < MAX_POLL_TIME_MS) {
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try {
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const statusResponse = await fetch(`https://api.exa.ai/research/v1/${taskId}`, {
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method: 'GET',
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headers: {
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'x-api-key': params.apiKey,
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'Content-Type': 'application/json',
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},
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})
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if (!statusResponse.ok) {
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throw new Error(`Failed to get task status: ${statusResponse.statusText}`)
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}
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const taskData = await statusResponse.json()
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logger.info(`Exa research task ${taskId} status: ${taskData.status}`)
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if (taskData.status === 'completed') {
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// The completed response contains output.content (text) and output.parsed (structured data)
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const content =
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taskData.output?.content || taskData.output?.parsed || 'Research completed successfully'
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result.output = {
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research: [
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{
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title: 'Research Complete',
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url: '',
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summary: typeof content === 'string' ? content : JSON.stringify(content, null, 2),
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text: typeof content === 'string' ? content : JSON.stringify(content, null, 2),
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publishedDate: undefined,
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author: undefined,
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score: 1.0,
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},
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],
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}
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return result
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}
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if (taskData.status === 'failed' || taskData.status === 'canceled') {
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return {
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...result,
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success: false,
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error: `Research task ${taskData.status}: ${taskData.error || 'Unknown error'}`,
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}
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}
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await sleep(POLL_INTERVAL_MS)
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elapsedTime += POLL_INTERVAL_MS
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} catch (error: any) {
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logger.error('Error polling for research task status:', {
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message: error.message || 'Unknown error',
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taskId,
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})
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return {
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...result,
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success: false,
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error: `Error polling for research task status: ${error.message || 'Unknown error'}`,
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}
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}
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}
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logger.warn(
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`Research task ${taskId} did not complete within the maximum polling time (${MAX_POLL_TIME_MS / 1000}s)`
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)
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return {
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...result,
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success: false,
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error: `Research task did not complete within the maximum polling time (${MAX_POLL_TIME_MS / 1000}s)`,
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}
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},
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outputs: {
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research: {
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type: 'array',
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description: 'Comprehensive research findings with citations and summaries',
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items: {
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type: 'object',
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properties: {
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title: { type: 'string' },
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url: { type: 'string' },
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summary: { type: 'string' },
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text: { type: 'string' },
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publishedDate: { type: 'string' },
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author: { type: 'string' },
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score: { type: 'number' },
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},
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},
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},
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},
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}
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