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95 lines
3.0 KiB
TypeScript
95 lines
3.0 KiB
TypeScript
import { ToolConfig } from '../types'
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import { PineconeResponse, PineconeSearchHit, PineconeSearchTextParams } from './types'
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export const searchTextTool: ToolConfig<PineconeSearchTextParams, PineconeResponse> = {
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id: 'pinecone_search_text',
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name: 'Pinecone Search Text',
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description: 'Search for similar text in a Pinecone index',
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version: '1.0',
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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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requiredForToolCall: true,
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description: 'Pinecone API key',
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},
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indexHost: {
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type: 'string',
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required: true,
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requiredForToolCall: true,
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description: 'Full Pinecone index host URL',
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},
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namespace: { type: 'string', required: false, description: 'Namespace to search in' },
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searchQuery: { type: 'string', required: true, description: 'Text to search for' },
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topK: { type: 'string', required: false, description: 'Number of results to return' },
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fields: { type: 'array', required: false, description: 'Fields to return in the results' },
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filter: { type: 'object', required: false, description: 'Filter to apply to the search' },
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rerank: { type: 'object', required: false, description: 'Reranking parameters' },
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},
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request: {
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method: 'POST',
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url: (params) => `${params.indexHost}/records/namespaces/${params.namespace}/search`,
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headers: (params) => ({
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'Api-Key': params.apiKey,
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'Content-Type': 'application/json',
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Accept: 'application/json',
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'X-Pinecone-API-Version': '2025-01',
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}),
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body: (params) => {
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// Format the query object
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const query = {
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inputs: { text: params.searchQuery },
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top_k: parseInt(params.topK || '10'),
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}
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// Build the request body
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const body: any = {
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query,
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}
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// Add optional parameters if provided
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if (params.fields) {
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body.fields = typeof params.fields === 'string' ? JSON.parse(params.fields) : params.fields
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}
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if (params.filter) {
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body.query.filter =
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typeof params.filter === 'string' ? JSON.parse(params.filter) : params.filter
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}
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if (params.rerank) {
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body.rerank = typeof params.rerank === 'string' ? JSON.parse(params.rerank) : params.rerank
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// If rerank query is not specified, use the search query
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if (!body.rerank.query) {
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body.rerank.query = { text: params.searchQuery }
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}
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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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return {
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success: true,
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output: {
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matches: data.result.hits.map((hit: PineconeSearchHit) => ({
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id: hit._id,
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score: hit._score,
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metadata: hit.fields,
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})),
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usage: {
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total_tokens: data.usage.embed_total_tokens || 0,
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read_units: data.usage.read_units,
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rerank_units: data.usage.rerank_units,
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},
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},
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}
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},
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transformError: (error) => `Pinecone text search failed: ${error.message}`,
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}
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