Create a Completion Application

from scale_gp import SGPClient
from scale_gp.lib.application_builder import ApplicationBuilder
from scale_gp.types.model_template_create_params import (
    VendorConfiguration,
    VendorConfigurationBundleConfig,
    VendorConfigurationEndpointConfig,
)

client = SGPClient(api_key=api_key)

bundle_config = VendorConfigurationBundleConfig(image="gemini-pro", registry="aws-registry", tag="latest")

endpoint_config = VendorConfigurationEndpointConfig(
    max_workers=3,
)

vendor_configuration = VendorConfiguration(
    bundle_config=bundle_config,
    endpoint_config=endpoint_config,
)

model_template = client.model_templates.create(
    account_id=account_id,
    endpoint_type="SYNC",
    model_type="COMPLETION",
    name="Gemini-Pro Template",
    vendor_configuration=vendor_configuration,
)

model_instance = client.models.create(
    account_id=account_id,
    model_type="COMPLETION",
    name="gemini-pro",
    model_vendor="GOOGLE",
    model_template_id=model_template.id,
)

model_deployment = client.models.deployments.create(
    model_instance_id=model_instance.id, name="Gemini-Pro Deployment", account_id=account_id
)

builder = ApplicationBuilder(client)
application_response = builder.create_completion_application(account_id=account_id, application_name=<UNIQUE_NAME>, completion_model_id=model_deployment.id)
print(application_response)
process_response = builder.process(query="what is the capital of Canada?")
print(process_response)

ApplicationTemplate(
    application_type='COMPLETION',
    variant_id='3c9a154f-9895-4944-8f4d-4372064d3519'
)

from scale_gp import SGPClient
from scale_gp.lib.application_builder import ApplicationBuilder
from scale_gp.types.model_template_create_params import (
    VendorConfiguration,
    VendorConfigurationBundleConfig,
    VendorConfigurationEndpointConfig,
)

client = SGPClient(api_key=api_key)

bundle_config = VendorConfigurationBundleConfig(image="gemini-pro", registry="aws-registry", tag="latest")

endpoint_config = VendorConfigurationEndpointConfig(
    max_workers=3,
)

vendor_configuration = VendorConfiguration(
    bundle_config=bundle_config,
    endpoint_config=endpoint_config,
)

model_template = client.model_templates.create(
    account_id=account_id,
    endpoint_type="SYNC",
    model_type="COMPLETION",
    name="Gemini-Pro Template",
    vendor_configuration=vendor_configuration,
)

model_instance = client.models.create(
    account_id=account_id,
    model_type="COMPLETION",
    name="gemini-pro",
    model_vendor="GOOGLE",
    model_template_id=model_template.id,
)

model_deployment = client.models.deployments.create(
    model_instance_id=model_instance.id, name="Gemini-Pro Deployment", account_id=account_id
)

builder = ApplicationBuilder(client)
application_response = builder.create_completion_application(account_id=account_id, application_name=<UNIQUE_NAME>, completion_model_id=model_deployment.id)
print(application_response)
process_response = builder.process(query="what is the capital of Canada?")
print(process_response)

ApplicationTemplate(
    application_type='COMPLETION',
    variant_id='3c9a154f-9895-4944-8f4d-4372064d3519'
)

1. Instantiate Client

2. Create model deployment

Follow the steps inside the recipe “Deploy and Execute a Model” to create a completion model deployment that we will use in our application

model_deployment = client.models.deployments.create(
    model_instance_id=model_instance.id, name="Gemini-Pro Deployment", account_id=account_id
)

3. Create completion application

We will now use our gemini-pro completion model to create a simple completion application with the ApplicationBuilder helper. Once the application variant is created, it can be used for evaluations, generating report cards, and other benchmarking tasks available in the SGP SDK. The application can also be processed with an input to return a completion result.


builder = ApplicationBuilder(client)
builder.create_completion_application(account_id=account_id, application_name="test-app-builder",completion_model_id=model_deployment.id)
builder.process(query="what is the capital of Canada?")

from scale_gp import SGPClient
from scale_gp.lib.application_builder import ApplicationBuilder
from scale_gp.types.model_template_create_params import (
    VendorConfiguration,
    VendorConfigurationBundleConfig,
    VendorConfigurationEndpointConfig,
)

client = SGPClient(api_key=api_key)

bundle_config = VendorConfigurationBundleConfig(image="gemini-pro", registry="aws-registry", tag="latest")

endpoint_config = VendorConfigurationEndpointConfig(
    max_workers=3,
)

vendor_configuration = VendorConfiguration(
    bundle_config=bundle_config,
    endpoint_config=endpoint_config,
)

model_template = client.model_templates.create(
    account_id=account_id,
    endpoint_type="SYNC",
    model_type="COMPLETION",
    name="Gemini-Pro Template",
    vendor_configuration=vendor_configuration,
)

model_instance = client.models.create(
    account_id=account_id,
    model_type="COMPLETION",
    name="gemini-pro",
    model_vendor="GOOGLE",
    model_template_id=model_template.id,
)

model_deployment = client.models.deployments.create(
    model_instance_id=model_instance.id, name="Gemini-Pro Deployment", account_id=account_id
)

builder = ApplicationBuilder(client)
application_response = builder.create_completion_application(account_id=account_id, application_name=<UNIQUE_NAME>, completion_model_id=model_deployment.id)
print(application_response)
process_response = builder.process(query="what is the capital of Canada?")
print(process_response)

ApplicationTemplate(
    application_type='COMPLETION',
    variant_id='3c9a154f-9895-4944-8f4d-4372064d3519'
)

Translation Evaluation Create a manual dataset

Recipes