​
Proxy Integration

1

Create an account + Generate an API Key

Log into helicone or create an account. Once you have an account, you can generate an API key.

2

Set HELICONE_API_KEY as an environment variable

HELICONE_API_KEY=<your API key>
3

Run the Bedrock command with the Helicone Proxy

import boto3
import json
import os
client = boto3.client("bedrock-runtime", region_name="ap-south-1",
                      endpoint_url="https://bedrock.helicone.ai/v1/ap-south-1")
model_id = "meta.llama3-8b-instruct-v1:0"

event_system = client.meta.events


def process_custom_arguments(params, context, **kwargs):
    if (custom_headers := params.pop("custom_headers", None)):
        context["custom_headers"] = custom_headers


def add_custom_header_before_call(model, params, request_signer, **kwargs):
    params['headers']['Helicone-Auth'] = f'Bearer {os.getenv("HELICONE_API_KEY")}'
    params['headers']['aws-access-key'] = '<AWS ACCESS KEY>'
    params['headers']['aws-secret-key'] = '<AWS SECRET KEY>'
    # optionally, you can pass the aws-session-token instead of access and secret key if you are using temporary credentials
    params['headers']['aws-session-token'] = '<AWS SESSION TOKEN>'
    if (custom_headers := params.pop("custom_headers", None)):
        params['headers'].update(custom_headers)
    headers = params['headers']
    print(f'param headers: {headers}')


event_system.register("before-parameter-build.bedrock-runtime.InvokeModel",
                      process_custom_arguments)
event_system.register('before-call.bedrock-runtime.InvokeModel',
                      add_custom_header_before_call)


body = {
    "prompt": "Hello, world!",
    "max_gen_len": 512,
    "temperature": 0.5,
    "top_p": 0.9
}

response = client.invoke_model(
    body=json.dumps(body),
    modelId=model_id,
    accept="application/json",
    contentType="application/json",
)
model_response = json.loads(response["body"].read())
print(model_response)

​
Async Integration

1

Create an account + Generate an API Key

Log into Helicone or create an account. Once you have an account, you can generate an API key.

2

Set API keys as environment variables

export HELICONE_API_KEY=<your Helicone API key>
export AWS_ACCESS_KEY_ID=<your AWS access key ID>
export AWS_SECRET_ACCESS_KEY=<your AWS secret access key>
export AWS_REGION=<your AWS region>
3

Install necessary packages

Ensure you have the necessary packages installed in your JavaScript project:

pip install helicone-async boto3
4

Import required modules and initialize Helicone Logger

from helicone_async import HeliconeAsyncLogger
import boto3
import json
import os

logger = HeliconeAsyncLogger(api_key=os.getenv("HELICONE_API_KEY"))
logger.init()
5

Configure AWS Bedrock client

client = boto3.client("bedrock-runtime", region_name=os.getenv("AWS_REGION"))
6

Send the request and handle the response


response = client.invoke_model(
    body=json.dumps(body),
    modelId=model_id,
    accept="application/json",
    contentType="application/json",
)
model_response = json.loads(response["body"].read())
print(model_response)

This integration allows you to use AWS Bedrock with Helicone’s async logging. The Helicone logger will automatically capture traces of your AWS Bedrock API calls, providing you with valuable insights and analytics through the Helicone dashboard.

For more information on using async logging, visit the Async Logging documentation.

​
Proxy Integration

1

Create an account + Generate an API Key

Log into helicone or create an account. Once you have an account, you can generate an API key.

2

Set HELICONE_API_KEY as an environment variable

HELICONE_API_KEY=<your API key>
3

Run the Bedrock command with the Helicone Proxy

import boto3
import json
import os
client = boto3.client("bedrock-runtime", region_name="ap-south-1",
                      endpoint_url="https://bedrock.helicone.ai/v1/ap-south-1")
model_id = "meta.llama3-8b-instruct-v1:0"

event_system = client.meta.events


def process_custom_arguments(params, context, **kwargs):
    if (custom_headers := params.pop("custom_headers", None)):
        context["custom_headers"] = custom_headers


def add_custom_header_before_call(model, params, request_signer, **kwargs):
    params['headers']['Helicone-Auth'] = f'Bearer {os.getenv("HELICONE_API_KEY")}'
    params['headers']['aws-access-key'] = '<AWS ACCESS KEY>'
    params['headers']['aws-secret-key'] = '<AWS SECRET KEY>'
    # optionally, you can pass the aws-session-token instead of access and secret key if you are using temporary credentials
    params['headers']['aws-session-token'] = '<AWS SESSION TOKEN>'
    if (custom_headers := params.pop("custom_headers", None)):
        params['headers'].update(custom_headers)
    headers = params['headers']
    print(f'param headers: {headers}')


event_system.register("before-parameter-build.bedrock-runtime.InvokeModel",
                      process_custom_arguments)
event_system.register('before-call.bedrock-runtime.InvokeModel',
                      add_custom_header_before_call)


body = {
    "prompt": "Hello, world!",
    "max_gen_len": 512,
    "temperature": 0.5,
    "top_p": 0.9
}

response = client.invoke_model(
    body=json.dumps(body),
    modelId=model_id,
    accept="application/json",
    contentType="application/json",
)
model_response = json.loads(response["body"].read())
print(model_response)

​
Async Integration

1

Create an account + Generate an API Key

Log into Helicone or create an account. Once you have an account, you can generate an API key.

2

Set API keys as environment variables

export HELICONE_API_KEY=<your Helicone API key>
export AWS_ACCESS_KEY_ID=<your AWS access key ID>
export AWS_SECRET_ACCESS_KEY=<your AWS secret access key>
export AWS_REGION=<your AWS region>
3

Install necessary packages

Ensure you have the necessary packages installed in your JavaScript project:

pip install helicone-async boto3
4

Import required modules and initialize Helicone Logger

from helicone_async import HeliconeAsyncLogger
import boto3
import json
import os

logger = HeliconeAsyncLogger(api_key=os.getenv("HELICONE_API_KEY"))
logger.init()
5

Configure AWS Bedrock client

client = boto3.client("bedrock-runtime", region_name=os.getenv("AWS_REGION"))
6

Send the request and handle the response


response = client.invoke_model(
    body=json.dumps(body),
    modelId=model_id,
    accept="application/json",
    contentType="application/json",
)
model_response = json.loads(response["body"].read())
print(model_response)

This integration allows you to use AWS Bedrock with Helicone’s async logging. The Helicone logger will automatically capture traces of your AWS Bedrock API calls, providing you with valuable insights and analytics through the Helicone dashboard.

For more information on using async logging, visit the Async Logging documentation.