Create Index
$ llamacloud-prod beta:indexes create
POST/api/v1/indexes
Create Index
llamacloud-prod beta:indexes create \
--api-key 'My API Key' \
--source-directory-id dir-abc123{
"id": "id",
"export_config_id": "export_config_id",
"name": "name",
"output_directory_id": "output_directory_id",
"project_id": "project_id",
"source_directory_id": "source_directory_id",
"sync_config_id": "sync_config_id",
"created_at": "2019-12-27T18:11:19.117Z",
"description": "description",
"last_exported_at": "2019-12-27T18:11:19.117Z",
"last_synced_at": "2019-12-27T18:11:19.117Z",
"metadata": {
"foo": "bar"
},
"updated_at": "2019-12-27T18:11:19.117Z"
}Returns Examples
{
"id": "id",
"export_config_id": "export_config_id",
"name": "name",
"output_directory_id": "output_directory_id",
"project_id": "project_id",
"source_directory_id": "source_directory_id",
"sync_config_id": "sync_config_id",
"created_at": "2019-12-27T18:11:19.117Z",
"description": "description",
"last_exported_at": "2019-12-27T18:11:19.117Z",
"last_synced_at": "2019-12-27T18:11:19.117Z",
"metadata": {
"foo": "bar"
},
"updated_at": "2019-12-27T18:11:19.117Z"
}Note for AI agents: this documentation is built for programmatic access.
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- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/python/shared/mcp/