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

Argument	Type	Required	Description
<namespace>	string	Yes	-
<key>	string	No	-

Options

Option	Type	Required	Default	Description
--document	string	Yes	-	document text to embed
--embeddings	string	Yes	-	pre-computed embeddings as JSON array
--metadata	string	Yes	-	metadata as JSON object
--file	string	Yes	-	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"
}

Field	Type	Description
success	boolean	Whether the operation succeeded
namespace	string	Namespace name
count	number	Number of vectors upserted
results	array	Upsert results with key-to-id mappings
durationMs	number	Operation duration in milliseconds