Models API
All URIs are relative to http://localhost:1000
Method | HTTP request | Description |
---|---|---|
modelsCreateNewModel | POST /models/create | /models/create [POST] |
modelsDeleteSpecificModel | POST /models/{model}/delete | /models/{model}/delete [POST] |
modelsDeleteSpecificModelCache | POST /models/{model}/delete/cache | /models/{model}/delete/cache [POST] |
modelsSnapshot | GET /models | /models [GET] |
unloadModels | POST /models/unload | /models/unload [POST] |
modelsCreateNewModel
Model modelsCreateNewModel()
Creates a machine learning model. By default, all models created through this endpoint will have the 'custom' attribute set to true. Additionally, the endpoint ensures that no duplicate models exist before creating a new one.
Example
import * as Pieces from '@pieces.app/pieces-os-client'
const configuration = Pieces.Configuration()
const apiInstance = new Pieces.ModelsApi(configuration)
const body: Pieces.ModelsCreateNewModelRequest = {
// SeededModel | (optional)
seededModel: ,
};
apiInstance.modelsCreateNewModel(body).then((data: Model) => {
console.log('API called successfully. Returned data: ' + data)
}).catch((error: unknown) => console.error(error))
Parameters
Name | Type | Description | Notes |
---|---|---|---|
seededModel | SeededModel |
Return type
HTTP request headers
- Content-Type: application/json
- Accept: application/json
HTTP response details
Status code | Description | Response headers |
---|---|---|
200 | OK | - |
500 | Internal Server Error | - |
modelsDeleteSpecificModel
modelsDeleteSpecificModel()
Deletes a specific model. It is exclusively available for custom models with the 'custom: true' attribute.
Example
import * as Pieces from '@pieces.app/pieces-os-client'
const configuration = Pieces.Configuration()
const apiInstance = new Pieces.ModelsApi(configuration)
const body: Pieces.ModelsDeleteSpecificModelRequest = {
// string | model id
model: model_example,
};
apiInstance.modelsDeleteSpecificModel(body).then((data: void (empty response body)) => {
console.log('API called successfully. Returned data: ' + data)
}).catch((error: unknown) => console.error(error))
Parameters
Name | Type | Description | Notes |
---|---|---|---|
model | [string] | model id | defaults to undefined |
Return type
void (empty response body)
HTTP request headers
- Content-Type: Not defined
- Accept: application/json
HTTP response details
Status code | Description | Response headers |
---|---|---|
204 | No Content | - |
500 | Internal Server Error | - |
modelsDeleteSpecificModelCache
ModelDeleteCacheOutput modelsDeleteSpecificModelCache()
Deletes the data associated with a specific model, such as assets or libraries downloaded specifically for this model. Note: This functionality is currently only available for LLM models.
Example
import * as Pieces from '@pieces.app/pieces-os-client'
const configuration = Pieces.Configuration()
const apiInstance = new Pieces.ModelsApi(configuration)
const body: Pieces.ModelsDeleteSpecificModelCacheRequest = {
// string | model id
model: model_example,
// ModelDeleteCacheInput (optional)
modelDeleteCacheInput: ,
};
apiInstance.modelsDeleteSpecificModelCache(body).then((data: ModelDeleteCacheOutput) => {
console.log('API called successfully. Returned data: ' + data)
}).catch((error: unknown) => console.error(error))
Parameters
Name | Type | Description | Notes |
---|---|---|---|
modelDeleteCacheInput | ModelDeleteCacheInput | ||
model | [string] | model id | defaults to undefined |
Return type
HTTP request headers
- Content-Type: application/json
- Accept: application/json
HTTP response details
Status code | Description | Response headers |
---|---|---|
200 | OK | - |
500 | Internal Server Error | - |
modelsSnapshot
Models modelsSnapshot()
This will get a snapshot of all of your models.
Example
import * as Pieces from '@pieces.app/pieces-os-client'
const configuration = Pieces.Configuration()
const apiInstance = new Pieces.ModelsApi(configuration)
apiInstance.modelsSnapshot().then((data: Models) => {
console.log('API called successfully. Returned data: ' + data)
}).catch((error: unknown) => console.error(error))
Parameters
This endpoint does not need any parameters.
Return type
HTTP request headers
- Content-Type: Not defined
- Accept: application/json
HTTP response details
Status code | Description | Response headers |
---|---|---|
200 | OK | - |
500 | Internal Server Error | - |
unloadModels
unloadModels()
Unloads all available machine learning models that are unloadable.
Example
import * as Pieces from '@pieces.app/pieces-os-client'
const configuration = Pieces.Configuration()
const apiInstance = new Pieces.ModelsApi(configuration)
apiInstance.unloadModels().then((data: void (empty response body)) => {
console.log('API called successfully. Returned data: ' + data)
}).catch((error: unknown) => console.error(error))
Parameters
This endpoint does not need any parameters.
Return type
void (empty response body)
HTTP request headers
- Content-Type: Not defined
- Accept: application/json
HTTP response details
Status code | Description | Response headers |
---|---|---|
204 | No Content | - |
500 | Internal Server Error | - |