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simstudioai--sim/apps/sim/tools/parallel/extract.ts
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chore: import upstream snapshot with attribution
2026-07-13 13:20:55 +08:00

161 lines
4.5 KiB
TypeScript

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