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

145 lines
4.5 KiB
TypeScript

import type { KnowledgeListChunksResponse } from '@/tools/knowledge/types'
import type { ToolConfig } from '@/tools/types'
export const knowledgeListChunksTool: ToolConfig<any, KnowledgeListChunksResponse> = {
id: 'knowledge_list_chunks',
name: 'Knowledge List Chunks',
description:
'List chunks for a document in a knowledge base with optional filtering and pagination',
version: '1.0.0',
params: {
knowledgeBaseId: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'ID of the knowledge base',
},
documentId: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'ID of the document to list chunks from',
},
search: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Search query to filter chunks by content',
},
enabled: {
type: 'string',
required: false,
visibility: 'user-or-llm',
description: 'Filter by enabled status: "true", "false", or "all" (default: "all")',
},
limit: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Maximum number of chunks to return (1-100, default: 50)',
},
offset: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Number of chunks to skip for pagination (default: 0)',
},
},
request: {
url: (params) => {
const queryParams = new URLSearchParams()
if (params.search) queryParams.set('search', params.search)
if (params.enabled) queryParams.set('enabled', params.enabled)
if (params.limit)
queryParams.set('limit', String(Math.max(1, Math.min(100, Number(params.limit)))))
if (params.offset != null) queryParams.set('offset', String(params.offset))
const qs = queryParams.toString()
return `/api/knowledge/${params.knowledgeBaseId}/documents/${params.documentId}/chunks${qs ? `?${qs}` : ''}`
},
method: 'GET',
headers: () => ({
'Content-Type': 'application/json',
}),
},
transformResponse: async (response, params): Promise<KnowledgeListChunksResponse> => {
const result = await response.json()
const chunks = result.data || []
const pagination = result.pagination || {}
return {
success: true,
output: {
knowledgeBaseId: params?.knowledgeBaseId ?? '',
documentId: params?.documentId ?? '',
chunks: chunks.map(
(chunk: {
id: string
chunkIndex: number
content: string
contentLength: number
tokenCount: number
enabled: boolean
createdAt: string
updatedAt: string
}) => ({
id: chunk.id,
chunkIndex: chunk.chunkIndex ?? 0,
content: chunk.content,
contentLength: chunk.contentLength ?? 0,
tokenCount: chunk.tokenCount ?? 0,
enabled: chunk.enabled ?? true,
createdAt: chunk.createdAt ?? null,
updatedAt: chunk.updatedAt ?? null,
})
),
totalChunks: pagination.total ?? chunks.length,
limit: pagination.limit ?? 50,
offset: pagination.offset ?? 0,
},
}
},
outputs: {
knowledgeBaseId: {
type: 'string',
description: 'ID of the knowledge base',
},
documentId: {
type: 'string',
description: 'ID of the document',
},
chunks: {
type: 'array',
description: 'Array of chunks in the document',
items: {
type: 'object',
properties: {
id: { type: 'string', description: 'Chunk ID' },
chunkIndex: { type: 'number', description: 'Index of the chunk within the document' },
content: { type: 'string', description: 'Chunk text content' },
contentLength: { type: 'number', description: 'Content length in characters' },
tokenCount: { type: 'number', description: 'Token count for the chunk' },
enabled: { type: 'boolean', description: 'Whether the chunk is enabled' },
createdAt: { type: 'string', description: 'Creation timestamp' },
updatedAt: { type: 'string', description: 'Last update timestamp' },
},
},
},
totalChunks: {
type: 'number',
description: 'Total number of chunks matching the filter',
},
limit: {
type: 'number',
description: 'Page size used',
},
offset: {
type: 'number',
description: 'Offset used for pagination',
},
},
}