Files
sim/tools/pinecone/fetch.ts
2025-02-18 11:30:30 -08:00

75 lines
2.0 KiB
TypeScript

import { ToolConfig } from '../types'
import { PineconeFetchParams, PineconeResponse, PineconeVector } from './types'
export const fetchTool: ToolConfig<PineconeFetchParams, PineconeResponse> = {
id: 'pinecone_fetch',
name: 'Pinecone Fetch',
description: 'Fetch vectors by ID from a Pinecone index',
version: '1.0',
params: {
apiKey: {
type: 'string',
required: true,
requiredForToolCall: true,
description: 'Pinecone API key',
},
indexHost: {
type: 'string',
required: true,
requiredForToolCall: true,
description: 'Full Pinecone index host URL',
},
ids: {
type: 'array',
required: true,
requiredForToolCall: true,
description: 'Array of vector IDs to fetch',
},
namespace: { type: 'string', required: false, description: 'Namespace to fetch vectors from' },
},
request: {
method: 'GET',
url: (params) => {
const baseUrl = `${params.indexHost}/vectors/fetch`
const queryParams = new URLSearchParams()
queryParams.append('ids', params.ids.join(','))
if (params.namespace) {
queryParams.append('namespace', params.namespace)
}
return `${baseUrl}?${queryParams.toString()}`
},
headers: (params) => ({
'Api-Key': params.apiKey,
'Content-Type': 'application/json',
}),
},
transformResponse: async (response) => {
const data = await response.json()
const vectors = data.vectors as Record<string, PineconeVector>
return {
success: true,
output: {
matches: Object.entries(vectors).map(([id, vector]) => ({
id,
values: vector.values,
metadata: vector.metadata,
score: 1.0, // Fetch returns exact matches
})),
data: Object.values(vectors).map((vector) => ({
values: vector.values,
vector_type: 'dense' as const,
})),
usage: {
total_tokens: data.usage?.readUnits || 0,
},
},
}
},
transformError: (error) => `Pinecone fetch failed: ${error.message}`,
}