Create Source

Create a new data source.

This endpoint expects an object.

namestringRequired

The name of the source.

embeddingstringOptional

The hande for the embedding config used by the source.

embedding_chunk_sizeintegerOptional

The chunk size of the embedding.

embedding_configobjectOptional

(Legacy) The embedding configuration used by the source.

descriptionstringOptional

The description of the source.

instructionsstringOptional

Instructions for how to use the source.

metadataobjectOptional

Metadata associated with the source.

Successful Response

namestring

The name of the source.

embedding_configobject

The embedding configuration used by the source.

idstring or nullformat: "^source-[a-fA-F0-9]{8}"

The human-friendly ID of the Source

descriptionstring or null

The description of the source.

instructionsstring or null

Instructions for how to use the source.

metadataobject or null

Metadata associated with the source.

created_by_idstring or null

The id of the user that made this Tool.

last_updated_by_idstring or null

The id of the user that made this Tool.

created_atstring or nullformat: "date-time"

The timestamp when the source was created.

updated_atstring or nullformat: "date-time"

The timestamp when the source was last updated.

1	from letta_client import Letta
2
3	client = Letta(
4	token="YOUR_TOKEN",
5	)
6	client.sources.create(
7	name="name",
8	)

1	{
2	"name": "foo",
3	"embedding_config": {
4	"embedding_endpoint_type": "openai",
5	"embedding_model": "foo",
6	"embedding_dim": 42,
7	"embedding_endpoint": "foo",
8	"embedding_chunk_size": 42,
9	"handle": "foo",
10	"azure_endpoint": "foo",
11	"azure_version": "foo",
12	"azure_deployment": "foo"
13	},
14	"id": "source-123e4567-e89b-12d3-a456-426614174000",
15	"description": "foo",
16	"instructions": "foo",
17	"metadata": {},
18	"created_by_id": "foo",
19	"last_updated_by_id": "foo",
20	"created_at": "foo",
21	"updated_at": "foo"
22	}