Embedders API
Embedders API documentation for JavaScript SDK
All URIs are relative to http://localhost:8080
| Method | HTTP request | Description |
|---|---|---|
| createEmbedder | POST /v1/embedders | Create a new embedder |
| deleteEmbedder | DELETE /v1/embedders/{id} | Delete an embedder |
| getEmbedder | GET /v1/embedders/{id} | Get an embedder by ID |
| listEmbedders | GET /v1/embedders | List embedders |
| updateEmbedder | PUT /v1/embedders/{id} | Update an embedder |
createEmbedder
EmbedderResponse createEmbedder(embedderCreationRequest)
Create a new embedder
Creates a new embedder configuration for vectorizing content. Embedders represent connections to different embedding API services (like OpenAI, vLLM, etc.) and include all the necessary configuration to use them with memory spaces. DUPLICATE DETECTION: Returns ALREADY_EXISTS if another embedder exists with identical {owner_id, provider_type, endpoint_url, api_path, model_identifier, credentials_fingerprint} after URL canonicalization. Uniqueness is enforced per-owner, allowing different users to have identical configurations. Credentials are hashed (SHA-256) for uniqueness while remaining encrypted. The api_path field defaults to '/embeddings' if omitted. Requires CREATE_EMBEDDER_OWN permission (or CREATE_EMBEDDER_ANY for admin users).
Example
import GoodMemClient from '@pairsystems/goodmem-client';
let apiInstance = new GoodMemClient.EmbeddersApi();
let embedderCreationRequest = {"displayName":"OpenAI Embedding Model","description":"OpenAI text embedding model with 1536 dimensions","providerType":"OPENAI","endpointUrl":"https://api.openai.com/v1","apiPath":"/embeddings","modelIdentifier":"text-embedding-3-small","dimensionality":"1536","distributionType":"DENSE","maxSequenceLength":"8192","supportedModalities":["TEXT"],"credentials":{"kind":"CREDENTIAL_KIND_API_KEY","apiKey":{"inlineSecret":"sk-your-api-key-here"}},"labels":{"environment":"production","team":"nlp"}}; // EmbedderCreationRequest | Embedder configuration details
apiInstance.createEmbedder(embedderCreationRequest).then((data) => {
console.log('API called successfully. Returned data: ' + data);
}, (error) => {
console.error(error);
});Parameters
| Name | Type | Description | Notes |
|---|---|---|---|
| embedderCreationRequest | EmbedderCreationRequest | Embedder configuration details |
Return type
Authorization
No authorization required
HTTP request headers
- Content-Type: application/json
- Accept: application/json
deleteEmbedder
deleteEmbedder(id)
Delete an embedder
Permanently deletes an embedder configuration. This operation cannot be undone and removes the embedder record and securely deletes stored credentials. IMPORTANT: This does NOT invalidate or delete embeddings previously created with this embedder - existing embeddings remain accessible. Requires DELETE_EMBEDDER_OWN permission for embedders you own (or DELETE_EMBEDDER_ANY for admin users).
Example
import GoodMemClient from '@pairsystems/goodmem-client';
let apiInstance = new GoodMemClient.EmbeddersApi();
let id = "550e8400-e29b-41d4-a716-446655440000"; // String | The unique identifier of the embedder to delete
apiInstance.deleteEmbedder(id).then(() => {
console.log('API called successfully.');
}, (error) => {
console.error(error);
});Parameters
| Name | Type | Description | Notes |
|---|---|---|---|
| id | String | The unique identifier of the embedder to delete |
Return type
null (empty response body)
Authorization
No authorization required
HTTP request headers
- Content-Type: Not defined
- Accept: Not defined
getEmbedder
EmbedderResponse getEmbedder(id)
Get an embedder by ID
Retrieves the details of a specific embedder configuration by its unique identifier. Requires READ_EMBEDDER_OWN permission for embedders you own (or READ_EMBEDDER_ANY for admin users to view any user's embedders). This is a read-only operation with no side effects.
Example
import GoodMemClient from '@pairsystems/goodmem-client';
let apiInstance = new GoodMemClient.EmbeddersApi();
let id = "550e8400-e29b-41d4-a716-446655440000"; // String | The unique identifier of the embedder to retrieve
apiInstance.getEmbedder(id).then((data) => {
console.log('API called successfully. Returned data: ' + data);
}, (error) => {
console.error(error);
});Parameters
| Name | Type | Description | Notes |
|---|---|---|---|
| id | String | The unique identifier of the embedder to retrieve |
Return type
Authorization
No authorization required
HTTP request headers
- Content-Type: Not defined
- Accept: application/json
listEmbedders
ListEmbeddersResponse listEmbedders(opts)
List embedders
Retrieves a list of embedder configurations accessible to the caller, with optional filtering. PERMISSION-BASED FILTERING: With LIST_EMBEDDER_OWN permission, you can only see your own embedders (owner_id filter is ignored if set to another user). With LIST_EMBEDDER_ANY permission, you can see all embedders or filter by any owner_id. This is a read-only operation with no side effects.
Example
import GoodMemClient from '@pairsystems/goodmem-client';
let apiInstance = new GoodMemClient.EmbeddersApi();
let opts = {
'ownerId': "550e8400-e29b-41d4-a716-446655440000", // String | Filter embedders by owner ID. With LIST_EMBEDDER_ANY permission, omitting this shows all accessible embedders; providing it filters by that owner. With LIST_EMBEDDER_OWN permission, only your own embedders are shown regardless of this parameter.
'providerType': "OPENAI", // String | Filter embedders by provider type (e.g., OPENAI, OPENAI_COMPATIBLE, COHERE, etc.)
'label': "?label.environment=production&label.team=nlp" // String | Filter by label value. Multiple label filters can be specified (e.g., ?label.environment=production&label.team=nlp)
};
apiInstance.listEmbedders(opts).then((data) => {
console.log('API called successfully. Returned data: ' + data);
}, (error) => {
console.error(error);
});Parameters
| Name | Type | Description | Notes |
|---|---|---|---|
| ownerId | String | Filter embedders by owner ID. With LIST_EMBEDDER_ANY permission, omitting this shows all accessible embedders; providing it filters by that owner. With LIST_EMBEDDER_OWN permission, only your own embedders are shown regardless of this parameter. | [optional] |
| providerType | String | Filter embedders by provider type (e.g., OPENAI, OPENAI_COMPATIBLE, COHERE, etc.) | [optional] |
| label | String | Filter by label value. Multiple label filters can be specified (e.g., ?label.environment=production&label.team=nlp) | [optional] |
Return type
Authorization
No authorization required
HTTP request headers
- Content-Type: Not defined
- Accept: application/json
updateEmbedder
EmbedderResponse updateEmbedder(id, updateEmbedderRequest)
Update an embedder
Updates an existing embedder configuration including display information, endpoint configuration, model parameters, credentials, and labels. All fields are optional - only specified fields will be updated. IMPORTANT: provider_type is IMMUTABLE after creation and cannot be changed. CRITICAL: Returns FAILED_PRECONDITION if attempting to update core fields (dimensionality, distribution_type, model_identifier) while the embedder is actively referenced by spaces or ingestion jobs. Requires UPDATE_EMBEDDER_OWN permission for embedders you own (or UPDATE_EMBEDDER_ANY for admin users).
Example
import GoodMemClient from '@pairsystems/goodmem-client';
let apiInstance = new GoodMemClient.EmbeddersApi();
let id = "550e8400-e29b-41d4-a716-446655440000"; // String | The unique identifier of the embedder to update
let updateEmbedderRequest = {"displayName":"Updated Production Embedder","description":"Updated OpenAI embedding model with enhanced configuration for production use","endpointUrl":"https://api.openai.com/v1","apiPath":"/embeddings","modelIdentifier":"text-embedding-3-large","dimensionality":"3072","maxSequenceLength":"8192","supportedModalities":["TEXT"],"credentials":"{\\\"kind\\\":\\\"CREDENTIAL_KIND_API_KEY\\\",\\\"apiKey\\\":{\\\"inlineSecret\\\":\\\"sk-updated-api-key-here\\\"}}","version":"2.0.1","monitoringEndpoint":"https://monitoring.company.com/embedders/status","replaceLabels":{"environment":"production","team":"ml-platform","cost-center":"ai-infrastructure"}}; // UpdateEmbedderRequest | Embedder update details
apiInstance.updateEmbedder(id, updateEmbedderRequest).then((data) => {
console.log('API called successfully. Returned data: ' + data);
}, (error) => {
console.error(error);
});Parameters
| Name | Type | Description | Notes |
|---|---|---|---|
| id | String | The unique identifier of the embedder to update | |
| updateEmbedderRequest | UpdateEmbedderRequest | Embedder update details |
Return type
Authorization
No authorization required
HTTP request headers
- Content-Type: application/json
- Accept: application/json