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agentuity-cli-cloud-vector-upsert

Add or update vectors in the vector storage. Requires authentication. Use for Agentuity cloud platform operations

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SKILL.md (original)

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Cloud Vector Upsert

Add or update vectors in the vector storage

Prerequisites

  • Authenticated with agentuity auth login
  • Project context required (run from project directory or use --project-id)

Usage

agentuity cloud vector upsert <namespace> [key] [options]

Arguments

ArgumentTypeRequiredDescription
<namespace>stringYes-
<key>stringNo-

Options

OptionTypeRequiredDefaultDescription
--documentstringYes-document text to embed
--embeddingsstringYes-pre-computed embeddings as JSON array
--metadatastringYes-metadata as JSON object
--filestringYes-path to JSON file containing vectors, or "-" for stdin

Examples

Upsert a single vector with document text:

bunx @agentuity/cli vector upsert products doc1 --document "Comfortable office chair"

Upsert with metadata:

bunx @agentuity/cli vector upsert products doc1 --document "Chair" --metadata '{"category":"furniture"}'

Upsert with pre-computed embeddings:

bunx @agentuity/cli vector upsert embeddings vec1 --embeddings "[0.1, 0.2, 0.3]"

Bulk upsert from JSON file:

bunx @agentuity/cli vector upsert products --file vectors.json

Bulk upsert from stdin:

cat vectors.json | bunx @agentuity/cli vector upsert products -

Output

Returns JSON object:

{
  "success": "boolean",
  "namespace": "string",
  "count": "number",
  "results": "array",
  "durationMs": "number"
}
FieldTypeDescription
successbooleanWhether the operation succeeded
namespacestringNamespace name
countnumberNumber of vectors upserted
resultsarrayUpsert results with key-to-id mappings
durationMsnumberOperation duration in milliseconds

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