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161 lines
4.5 KiB
TypeScript
161 lines
4.5 KiB
TypeScript
import type { ParallelExtractParams } from '@/tools/parallel/types'
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import type { ToolConfig, ToolResponse } from '@/tools/types'
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export const extractTool: ToolConfig<ParallelExtractParams, ToolResponse> = {
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id: 'parallel_extract',
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name: 'Parallel AI Extract',
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description:
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'Extract targeted information from specific URLs using Parallel AI. Processes provided URLs to pull relevant content based on your objective.',
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version: '1.0.0',
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hosting: {
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envKeyPrefix: 'PARALLEL_API_KEY',
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apiKeyParam: 'apiKey',
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byokProviderId: 'parallel_ai',
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pricing: {
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type: 'custom',
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getCost: (_params, output) => {
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if (!Array.isArray(output.results)) {
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throw new Error('Parallel extract response missing results array')
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}
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// Parallel Extract: $1 per 1,000 URLs = $0.001 per URL
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// https://docs.parallel.ai/resources/pricing
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const urlCount = output.results.length
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const cost = urlCount * 0.001
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return { cost, metadata: { urlCount } }
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},
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},
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rateLimit: {
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mode: 'per_request',
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requestsPerMinute: 30,
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},
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},
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params: {
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urls: {
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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: 'Comma-separated list of URLs to extract information from',
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},
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objective: {
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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: 'What information to extract from the provided URLs',
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},
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excerpts: {
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type: 'boolean',
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required: false,
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visibility: 'user-or-llm',
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description: 'Include relevant excerpts from the content (default: true)',
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},
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full_content: {
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type: 'boolean',
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required: false,
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visibility: 'user-or-llm',
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description: 'Include full page content as markdown (default: false)',
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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: 'Parallel AI API Key',
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},
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},
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request: {
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url: 'https://api.parallel.ai/v1beta/extract',
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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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'parallel-beta': 'search-extract-2025-10-10',
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}),
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body: (params) => {
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const urlArray = params.urls
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.split(',')
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.map((url) => url.trim())
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.filter((url) => url.length > 0)
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const body: Record<string, unknown> = {
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urls: urlArray,
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}
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if (params.objective) body.objective = params.objective
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if (params.excerpts !== undefined) body.excerpts = params.excerpts
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if (params.full_content !== undefined) body.full_content = params.full_content
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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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if (!response.ok) {
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const errorText = await response.text()
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throw new Error(`Parallel AI extract failed: ${response.status} - ${errorText}`)
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}
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const data = await response.json()
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if (!data.results) {
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return {
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success: false,
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error: 'No results returned from extraction',
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output: {
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results: [],
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extract_id: data.extract_id ?? null,
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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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extract_id: data.extract_id ?? null,
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results: data.results.map((result: Record<string, unknown>) => ({
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url: result.url ?? null,
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title: result.title ?? null,
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publish_date: result.publish_date ?? null,
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excerpts: result.excerpts ?? [],
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full_content: result.full_content ?? null,
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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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extract_id: {
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type: 'string',
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description: 'Unique identifier for this extraction request',
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},
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results: {
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type: 'array',
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description: 'Extracted information from the provided URLs',
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items: {
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type: 'object',
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properties: {
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url: { type: 'string', description: 'The source URL' },
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title: { type: 'string', description: 'The title of the page', optional: true },
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publish_date: {
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type: 'string',
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description: 'Publication date (YYYY-MM-DD)',
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optional: true,
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},
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excerpts: {
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type: 'array',
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description: 'Relevant text excerpts in markdown',
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items: { type: 'string' },
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optional: true,
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},
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full_content: {
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type: 'string',
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description: 'Full page content as markdown',
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optional: true,
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},
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},
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},
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},
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},
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}
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