AWS SageMaker

from portkey_ai import Portkey

# 1. Install: pip install portkey-ai
# 2. Add @sagemaker provider in Model Catalog
# 3. Use it:

portkey = Portkey(
    api_key="PORTKEY_API_KEY",
    provider="@sagemaker"
)

response = portkey.post(
    url="endpoints/{endpoint_name}/invocations",
    # You can pass any key value pair required by the model
    # (apart from `url`), they are passed to the Sagemaker endpoint
    inputs="my_custom_value",
    my_custom_key="my_custom_value"
)

print(response)

import Portkey from 'portkey-ai'

// 1. Install: npm install portkey-ai
// 2. Add @sagemaker provider in Model Catalog
// 3. Use it:

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",
    provider: "@sagemaker"
})

const response = await portkey.post({
    url: "endpoints/{endpoint_name}/invocations",
    // You can pass any key value pair required by the model
    // (apart from `url`), they are passed to the Sagemaker endpoint
    inputs: "my_custom_value",
    my_custom_key: "my_custom_value"
})

console.log(response)

# 1. Add @sagemaker provider in Model Catalog
# 2. Use it:

curl https://api.portkey.ai/v1/endpoints/{endpoint_name}/invocations \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -d '{
    "inputs": "my_custom_value",
    "my_custom_key": "my_custom_value"
  }'

from portkey_ai import Portkey

portkey = Portkey(
    api_key="PORTKEY_API_KEY",
    provider="@sagemaker",
    aws_region="us-east-1",
    aws_access_key_id="AWS_ACCESS_KEY_ID",
    aws_secret_access_key="AWS_SECRET_ACCESS_KEY",
    sagemaker_inference_component="SAGEMAKER_INFERENCE_COMPONENT"
)

response = portkey.post(
    url="endpoints/{endpoint_name}/invocations",
    # You can pass any key value pair required by the model
    # (apart from `url`), they are passed to the Sagemaker endpoint
    inputs="my_custom_value",
    my_custom_key="my_custom_value"
)

print(response)

import Portkey from 'portkey-ai'

const portkey = new Portkey({
    apiKey: "PORTKEY_API_KEY",
    provider: "@sagemaker",
    awsAccessKeyId: "AWS_ACCESS_KEY_ID",
    awsSecretAccessKey: "AWS_SECRET_ACCESS_KEY",
    awsRegion: "us-east-1",
    sagemakerInferenceComponent: "SAGEMAKER_INFERENCE_COMPONENT"
})

const response = await portkey.post({
    url: "endpoints/{endpoint_name}/invocations",
    // You can pass any key value pair required by the model
    // (apart from `url`), they are passed to the Sagemaker endpoint
    inputs: "my_custom_value",
    my_custom_key: "my_custom_value"
})

console.log(response)

curl https://api.portkey.ai/v1/endpoints/{endpoint_name}/invocations \
  -H "Content-Type: application/json" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H "x-portkey-provider: @sagemaker" \
  -H "x-portkey-aws-access-key-id: $AWS_ACCESS_KEY_ID" \
  -H "x-portkey-aws-secret-access-key: $AWS_SECRET_ACCESS_KEY" \
  -H "x-portkey-aws-region: $AWS_REGION" \
  -H "x-portkey-amzn-sagemaker-inference-component: $SAGEMAKER_INFERENCE_COMPONENT" \
  -d '{
    "inputs": "my_custom_value",
    "my_custom_key": "my_custom_value"
  }'