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1. Configure Sagemaker Endpoint

Configure your Sagemaker endpoint in the Freeplay app and set your prompt to use it https://docs.freeplay.ai/model-management

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2. Configure your Freeplay Client

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3. Configure your Sagemaker Client

Configure your Sagemaker client using your AWS access keys

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4. Fetch and Format your Prompt

Fetch your prompt from Freeplay, formatting it with your input variables

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5. Call your Sagemaker Endpoint

Call your sagemaker endpoint directly using the formatted prompt object to key off needed parameters

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6. Record to Freeplay

Record the interaction back to freeplay!

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Examples

from freeplay import Freeplay, RecordPayload, TestRunInfo, CallInfo, ResponseInfo
import boto3
import os
from dotenv import load_dotenv
import time
import json

load_dotenv("../.env")
project_id = os.getenv("FREEPLAY_PROJECT_ID")
freeplay_key = os.getenv("FREEPLAY_KEY")
freeplay_url = os.getenv("FREEPLAY_URL")
aws_access_key_id = os.getenv("AWS_ACCESS_KEY_ID")
aws_secret_key = os.getenv("AWS_SECRET_KEY")

fpClient = Freeplay(
    api_base=freeplay_url,
    freeplay_api_key=freeplay_key
)

sagemakerClient = boto3.client(
    'sagemaker-runtime',
    region_name='us-east-1',
    aws_access_key_id=aws_access_key_id,
    aws_secret_access_key=aws_secret_key
)

# fetch the prompt
prompt_vars = {
    "pop_star": "Taylor Swift",
}
formatted_prompt = fpClient.prompts.get_formatted(
    project_id=project_id,
    template_name="album_bot",
    environment="latest",
    variables=prompt_vars
)

endpoint_name = formatted_prompt.prompt_info.provider_info['endpoint_name']
inference_component_name = formatted_prompt.prompt_info.provider_info['inference_component_name']

payload_body = {
    "inputs": formatted_prompt.llm_prompt_text,
    "parameters": formatted_prompt.prompt_info.model_parameters
}

# make the llm call
start = time.time()
response = sagemakerClient.invoke_endpoint(
    EndpointName=endpoint_name,
    InferenceComponentName=inference_component_name,
    ContentType='application/json',
    Accept='application/json',
    Body=json.dumps(payload_body)
)
end = time.time()

response_content = json.loads(response['Body'].read().decode('utf-8'))['generated_text']
print("response_content: ", response_content)

all_messages = formatted_prompt.all_messages(
    {"role": "assistant",
    "content": response_content}
)

session = fpClient.sessions.create()

fpClient.recordings.create(
  RecordPayload(
				project_id=project_id,
        all_messages=all_messages,
        inputs=prompt_vars,
        session_info=session,
        prompt_version_info=formatted_prompt.prompt_info,
        call_info=CallInfo.from_prompt_info(formatted_prompt.prompt_info, start_time=start, end_time=end),
        response_info=ResponseInfo(is_complete=True)
    )
)