Models API

All URIs are relative to http://localhost:1000

Method	HTTP request	Description
models_create_new_model	POST /models/create	/models/create [POST]
models_delete_specific_model	POST /models/{model}/delete	/models/{model}/delete [POST]
models_delete_specific_model_cache	POST /models/{model}/delete/cache	/models/{model}/delete/cache [POST]
models_snapshot	GET /models	/models [GET]
unload_models	POST /models/unload	/models/unload [POST]

models_create_new_model

Model models_create_new_model(seeded_model=seeded_model)

/models/create [POST]

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 pieces_os_client
from pieces_os_client.models.model import Model
from pieces_os_client.models.seeded_model import SeededModel
from pieces_os_client.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://localhost:1000
# See configuration.py for a list of all supported configuration parameters.
configuration = pieces_os_client.Configuration(
    host = "http://localhost:1000"
)


# Enter a context with an instance of the API client
with pieces_os_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = Models API(api_client)
    seeded_model = pieces_os_client.SeededModel() # SeededModel |  (optional)

    try:
        # /models/create [POST]
        api_response = api_instance.models_create_new_model(seeded_model=seeded_model)
        print("The response of ModelsApi->models_create_new_model:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling ModelsApi->models_create_new_model: %s\n" % e)

Parameters

Name	Type	Description	Notes
seeded_model	SeededModel		[optional]

Return type

Model

Authorization

No authorization required

HTTP request headers

• Content-Type: application/json
• Accept: application/json, text/plain

HTTP response details

Status code	Description	Response headers
200	OK	-
500	Internal Server Error	-

models_delete_specific_model

models_delete_specific_model(model)

/models/{model}/delete [POST]

Deletes a specific model. It is exclusively available for custom models with the 'custom: true' attribute.

Example

import pieces_os_client
from pieces_os_client.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://localhost:1000
# See configuration.py for a list of all supported configuration parameters.
configuration = pieces_os_client.Configuration(
    host = "http://localhost:1000"
)


# Enter a context with an instance of the API client
with pieces_os_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = Models API(api_client)
    model = 'model_example' # str | model id

    try:
        # /models/\{model\}/delete [POST]
        api_instance.models_delete_specific_model(model)
    except Exception as e:
        print("Exception when calling ModelsApi->models_delete_specific_model: %s\n" % e)

Parameters

Name	Type	Description	Notes
model	str	model id

Return type

void (empty response body)

Authorization

No authorization required

HTTP request headers

• Content-Type: Not defined
• Accept: text/plain

HTTP response details

Status code	Description	Response headers
204	No Content	-
500	Internal Server Error	-

models_delete_specific_model_cache

ModelDeleteCacheOutput models_delete_specific_model_cache(model, model_delete_cache_input=model_delete_cache_input)

/models/{model}/delete/cache [POST]

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 pieces_os_client
from pieces_os_client.models.model_delete_cache_input import ModelDeleteCacheInput
from pieces_os_client.models.model_delete_cache_output import ModelDeleteCacheOutput
from pieces_os_client.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://localhost:1000
# See configuration.py for a list of all supported configuration parameters.
configuration = pieces_os_client.Configuration(
    host = "http://localhost:1000"
)


# Enter a context with an instance of the API client
with pieces_os_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = Models API(api_client)
    model = 'model_example' # str | model id
    model_delete_cache_input = pieces_os_client.ModelDeleteCacheInput() # ModelDeleteCacheInput |  (optional)

    try:
        # /models/\{model\}/delete/cache [POST]
        api_response = api_instance.models_delete_specific_model_cache(model, model_delete_cache_input=model_delete_cache_input)
        print("The response of ModelsApi->models_delete_specific_model_cache:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling ModelsApi->models_delete_specific_model_cache: %s\n" % e)

Parameters

Name	Type	Description	Notes
model	str	model id
model_delete_cache_input	ModelDeleteCacheInput		[optional]

Return type

ModelDeleteCacheOutput

Authorization

No authorization required

HTTP request headers

• Content-Type: application/json
• Accept: application/json, text/plain

HTTP response details

Status code	Description	Response headers
200	OK	-
500	Internal Server Error	-

models_snapshot

Models models_snapshot()

/models [GET]

This will get a snapshot of all of your models.

Example

import pieces_os_client
from pieces_os_client.models.models import Models
from pieces_os_client.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://localhost:1000
# See configuration.py for a list of all supported configuration parameters.
configuration = pieces_os_client.Configuration(
    host = "http://localhost:1000"
)


# Enter a context with an instance of the API client
with pieces_os_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = Models API(api_client)

    try:
        # /models [GET]
        api_response = api_instance.models_snapshot()
        print("The response of ModelsApi->models_snapshot:\n")
        pprint(api_response)
    except Exception as e:
        print("Exception when calling ModelsApi->models_snapshot: %s\n" % e)

Parameters

This endpoint does not need any parameters.

Return type

Models

Authorization

No authorization required

HTTP request headers

• Content-Type: Not defined
• Accept: application/json, text/plain

HTTP response details

Status code	Description	Response headers
200	OK	-
500	Internal Server Error	-

unload_models

unload_models()

/models/unload [POST]

Unloads all available machine learning models that are unloadable.

Example

import pieces_os_client
from pieces_os_client.rest import ApiException
from pprint import pprint

# Defining the host is optional and defaults to http://localhost:1000
# See configuration.py for a list of all supported configuration parameters.
configuration = pieces_os_client.Configuration(
    host = "http://localhost:1000"
)


# Enter a context with an instance of the API client
with pieces_os_client.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = Models API(api_client)

    try:
        # /models/unload [POST]
        api_instance.unload_models()
    except Exception as e:
        print("Exception when calling ModelsApi->unload_models: %s\n" % e)

Parameters

This endpoint does not need any parameters.

Return type

void (empty response body)

Authorization

No authorization required

HTTP request headers

• Content-Type: Not defined
• Accept: text/plain

HTTP response details

Status code	Description	Response headers
204	No Content	-
500	Internal Server Error	-