Files
sim/tools/pinecone/searchText.ts

64 lines
1.9 KiB
TypeScript

import { ToolConfig } from '../types'
import { PineconeResponse, PineconeSearchTextParams } from './types'
export const searchTextTool: ToolConfig<PineconeSearchTextParams, PineconeResponse> = {
id: 'pinecone_search_text',
name: 'Pinecone Search Text',
description: 'Search for similar text in a Pinecone index',
version: '1.0',
params: {
apiKey: { type: 'string', required: true, description: 'Pinecone API key' },
environment: { type: 'string', required: true, description: 'Pinecone environment' },
indexName: { type: 'string', required: true, description: 'Name of the Pinecone index' },
namespace: { type: 'string', required: false, description: 'Namespace to search in' },
query: {
type: 'object',
required: true,
description: 'Query parameters including text input and top_k',
},
fields: {
type: 'array',
required: false,
description: 'Fields to return in the search results',
},
rerank: {
type: 'object',
required: false,
description: 'Parameters for reranking the initial search results',
},
},
request: {
method: 'POST',
url: (params) =>
`https://${params.indexName}-${params.environment}.svc.${params.environment}.pinecone.io/records/namespaces/${params.namespace || ''}/search`,
headers: (params) => ({
'Api-Key': params.apiKey,
'Content-Type': 'application/json',
}),
body: (params) => ({
query: params.query,
fields: params.fields,
rerank: params.rerank,
}),
},
transformResponse: async (response) => {
const data = await response.json()
return {
success: true,
output: {
matches: data.matches.map((match: any) => ({
id: match.id,
score: match.score,
metadata: match.metadata,
values: match.values,
})),
},
}
},
transformError: (error) => `Pinecone text search failed: ${error.message}`,
}