chore: import upstream snapshot with attribution
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This commit is contained in:
wehub-resource-sync
2026-07-13 13:20:55 +08:00
commit d25d482dc2
13754 changed files with 4996608 additions and 0 deletions
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import type { QdrantFetchParams, QdrantResponse } from '@/tools/qdrant/types'
import { POINT_OUTPUT_PROPERTIES, QDRANT_RESPONSE_OUTPUT_PROPERTIES } from '@/tools/qdrant/types'
import type { ToolConfig } from '@/tools/types'
export const fetchPointsTool: ToolConfig<QdrantFetchParams, QdrantResponse> = {
id: 'qdrant_fetch_points',
name: 'Qdrant Fetch Points',
description: 'Fetch points by ID from a Qdrant collection',
version: '1.0',
params: {
url: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Qdrant instance URL (e.g., https://your-cluster.qdrant.io)',
},
apiKey: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'Qdrant API key for authentication',
},
collection: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'Collection name to fetch from (e.g., "my_collection")',
},
ids: {
type: 'array',
required: true,
visibility: 'user-or-llm',
description: 'Array of point IDs to fetch (e.g., ["id1", "id2"] or [1, 2])',
},
fetch_return_data: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'Data to return from fetch',
},
with_payload: {
type: 'boolean',
required: false,
visibility: 'user-only',
description: 'Include payload in response',
},
with_vector: {
type: 'boolean',
required: false,
visibility: 'user-only',
description: 'Include vector in response',
},
},
request: {
method: 'POST',
url: (params) => `${params.url.replace(/\/$/, '')}/collections/${params.collection}/points`,
headers: (params) => ({
'Content-Type': 'application/json',
...(params.apiKey ? { 'api-key': params.apiKey } : {}),
}),
body: (params) => {
// Calculate with_payload and with_vector from fetch_return_data if provided
let withPayload = params.with_payload ?? false
let withVector = params.with_vector ?? false
if (params.fetch_return_data) {
switch (params.fetch_return_data) {
case 'payload_only':
withPayload = true
withVector = false
break
case 'vector_only':
withPayload = false
withVector = true
break
case 'both':
withPayload = true
withVector = true
break
case 'none':
withPayload = false
withVector = false
break
}
}
return {
ids: params.ids,
with_payload: withPayload,
with_vector: withVector,
}
},
},
transformResponse: async (response) => {
const data = await response.json()
return {
success: true,
output: {
data: data.result,
status: data.status,
},
}
},
outputs: {
data: {
type: 'array',
description: 'Fetched points with ID, payload, and optional vector data',
items: {
type: 'object',
properties: POINT_OUTPUT_PROPERTIES,
},
},
status: QDRANT_RESPONSE_OUTPUT_PROPERTIES.status,
},
}
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import { fetchPointsTool } from '@/tools/qdrant/fetch_points'
import { searchVectorTool } from '@/tools/qdrant/search_vector'
import { upsertPointsTool } from '@/tools/qdrant/upsert_points'
export const qdrantUpsertTool = upsertPointsTool
export const qdrantSearchTool = searchVectorTool
export const qdrantFetchTool = fetchPointsTool
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import type { QdrantResponse, QdrantSearchParams } from '@/tools/qdrant/types'
import {
QDRANT_RESPONSE_OUTPUT_PROPERTIES,
SCORED_POINT_OUTPUT_PROPERTIES,
} from '@/tools/qdrant/types'
import type { ToolConfig } from '@/tools/types'
export const searchVectorTool: ToolConfig<QdrantSearchParams, QdrantResponse> = {
id: 'qdrant_search_vector',
name: 'Qdrant Search Vector',
description: 'Search for similar vectors in a Qdrant collection',
version: '1.0',
params: {
url: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Qdrant instance URL (e.g., https://your-cluster.qdrant.io)',
},
apiKey: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'Qdrant API key for authentication',
},
collection: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'Collection name to search (e.g., "my_collection")',
},
vector: {
type: 'array',
required: true,
visibility: 'user-or-llm',
description: 'Query vector for similarity search (e.g., [0.1, 0.2, 0.3, ...])',
},
limit: {
type: 'number',
required: false,
visibility: 'user-or-llm',
description: 'Maximum number of results to return (e.g., 10)',
},
filter: {
type: 'object',
required: false,
visibility: 'user-or-llm',
description:
'Qdrant filter object (e.g., {"must": [{"key": "field", "match": {"value": "val"}}]})',
},
search_return_data: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'Data to return from search',
},
with_payload: {
type: 'boolean',
required: false,
visibility: 'user-only',
description: 'Include payload in response',
},
with_vector: {
type: 'boolean',
required: false,
visibility: 'user-only',
description: 'Include vector in response',
},
},
request: {
method: 'POST',
url: (params) =>
`${params.url.replace(/\/$/, '')}/collections/${encodeURIComponent(params.collection)}/points/query`,
headers: (params) => ({
'Content-Type': 'application/json',
...(params.apiKey ? { 'api-key': params.apiKey } : {}),
}),
body: (params) => {
// Calculate with_payload and with_vector from search_return_data if provided
let withPayload = params.with_payload ?? false
let withVector = params.with_vector ?? false
if (params.search_return_data) {
switch (params.search_return_data) {
case 'payload_only':
withPayload = true
withVector = false
break
case 'vector_only':
withPayload = false
withVector = true
break
case 'both':
withPayload = true
withVector = true
break
case 'none':
withPayload = false
withVector = false
break
}
}
return {
query: params.vector,
limit: params.limit ? Number(params.limit) : 10,
filter: params.filter,
with_payload: withPayload,
with_vector: withVector,
}
},
},
transformResponse: async (response) => {
const data = await response.json()
return {
success: true,
output: {
data: data.result,
status: data.status,
},
}
},
outputs: {
data: {
type: 'array',
description: 'Vector search results with ID, score, payload, and optional vector data',
items: {
type: 'object',
properties: SCORED_POINT_OUTPUT_PROPERTIES,
},
},
status: QDRANT_RESPONSE_OUTPUT_PROPERTIES.status,
},
}
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import type { OutputProperty, ToolResponse } from '@/tools/types'
/**
* Shared output property definitions for Qdrant API responses.
* Based on official Qdrant REST API documentation.
* @see https://api.qdrant.tech/
*/
/**
* Output definition for point objects returned by fetch/get operations
*/
export const POINT_OUTPUT_PROPERTIES = {
id: { type: 'string', description: 'Point ID (integer or UUID string)' },
payload: { type: 'json', description: 'Point payload data (key-value pairs)', optional: true },
vector: {
type: 'json',
description: 'Point vector(s) - single array or named vectors object',
optional: true,
},
shard_key: { type: 'string', description: 'Shard key for routing', optional: true },
order_value: {
type: 'number',
description: 'Order value for sorting',
optional: true,
},
} as const satisfies Record<string, OutputProperty>
/**
* Complete point object output definition
*/
export const POINT_OUTPUT: OutputProperty = {
type: 'object',
description: 'Point object with ID, payload, and optional vector',
properties: POINT_OUTPUT_PROPERTIES,
}
/**
* Output definition for scored point objects returned by search/query operations
*/
export const SCORED_POINT_OUTPUT_PROPERTIES = {
id: { type: 'string', description: 'Point ID (integer or UUID string)' },
version: { type: 'number', description: 'Point version number' },
score: { type: 'number', description: 'Similarity score' },
payload: { type: 'json', description: 'Point payload data (key-value pairs)', optional: true },
vector: {
type: 'json',
description: 'Point vector(s) - single array or named vectors object',
optional: true,
},
shard_key: { type: 'string', description: 'Shard key for routing', optional: true },
order_value: {
type: 'number',
description: 'Order value for sorting',
optional: true,
},
} as const satisfies Record<string, OutputProperty>
/**
* Complete scored point object output definition
*/
export const SCORED_POINT_OUTPUT: OutputProperty = {
type: 'object',
description: 'Scored point with ID, version, score, payload, and optional vector',
properties: SCORED_POINT_OUTPUT_PROPERTIES,
}
/**
* Output definition for upsert operation result
*/
export const UPSERT_RESULT_OUTPUT_PROPERTIES = {
operation_id: { type: 'number', description: 'Operation ID for async tracking', optional: true },
status: {
type: 'string',
description: 'Operation status (acknowledged, completed)',
optional: true,
},
} as const satisfies Record<string, OutputProperty>
/**
* Complete upsert result output definition
*/
export const UPSERT_RESULT_OUTPUT: OutputProperty = {
type: 'object',
description: 'Upsert operation result with operation ID and status',
properties: UPSERT_RESULT_OUTPUT_PROPERTIES,
}
/**
* Common response properties for all Qdrant operations
*/
export const QDRANT_RESPONSE_OUTPUT_PROPERTIES = {
status: { type: 'string', description: 'Operation status (ok, error)' },
time: { type: 'number', description: 'Time spent processing request in seconds', optional: true },
} as const satisfies Record<string, OutputProperty>
interface QdrantBaseParams {
url: string
apiKey?: string
collection: string
}
interface QdrantVector {
id: string
vector: number[]
payload?: Record<string, any>
}
export interface QdrantUpsertParams extends QdrantBaseParams {
points: QdrantVector[]
}
export interface QdrantSearchParams extends QdrantBaseParams {
vector: number[]
limit?: number
filter?: Record<string, any>
search_return_data?: string
with_payload?: boolean
with_vector?: boolean
}
export interface QdrantFetchParams extends QdrantBaseParams {
ids: string[]
fetch_return_data?: string
with_payload?: boolean
with_vector?: boolean
}
export interface QdrantResponse extends ToolResponse {
output: {
result?: any
status?: string
matches?: Array<{
id: string
score: number
payload?: Record<string, any>
vector?: number[]
}>
upsertedCount?: number
data?: any
}
}
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import type { QdrantResponse, QdrantUpsertParams } from '@/tools/qdrant/types'
import {
QDRANT_RESPONSE_OUTPUT_PROPERTIES,
UPSERT_RESULT_OUTPUT_PROPERTIES,
} from '@/tools/qdrant/types'
import type { ToolConfig } from '@/tools/types'
export const upsertPointsTool: ToolConfig<QdrantUpsertParams, QdrantResponse> = {
id: 'qdrant_upsert_points',
name: 'Qdrant Upsert Points',
description: 'Insert or update points in a Qdrant collection',
version: '1.0',
params: {
url: {
type: 'string',
required: true,
visibility: 'user-only',
description: 'Qdrant instance URL (e.g., https://your-cluster.qdrant.io)',
},
apiKey: {
type: 'string',
required: false,
visibility: 'user-only',
description: 'Qdrant API key for authentication',
},
collection: {
type: 'string',
required: true,
visibility: 'user-or-llm',
description: 'Collection name for upsert (e.g., "my_collection")',
},
points: {
type: 'array',
required: true,
visibility: 'user-only',
description: 'Array of points to upsert',
},
},
request: {
method: 'PUT',
url: (params) => `${params.url.replace(/\/$/, '')}/collections/${params.collection}/points`,
headers: (params) => ({
'Content-Type': 'application/json',
...(params.apiKey ? { 'api-key': params.apiKey } : {}),
}),
body: (params) => ({ points: params.points }),
},
transformResponse: async (response) => {
const data = await response.json()
return {
success: response.ok && data.status === 'ok',
output: {
status: data.status,
data: data.result,
},
}
},
outputs: {
status: QDRANT_RESPONSE_OUTPUT_PROPERTIES.status,
data: {
type: 'object',
description: 'Result data from the upsert operation',
properties: UPSERT_RESULT_OUTPUT_PROPERTIES,
},
},
}