Skip to main content

OpenTelemetry instrumentation for Bedrock

Project description

Bedrock OpenTelemetry Integration

Overview

This integration provides support for using OpenTelemetry with the Bedrock framework. It enables tracing and monitoring of applications built with Bedrock.

Installation

  1. Install traceAI Bedrock
pip install traceAI-bedrock
  1. Install boto3
pip install boto3

Set Environment Variables

Set up your environment variables to authenticate with FutureAGI.

import os

os.environ["AWS_ACCESS_KEY_ID"] = AWS_ACCESS_KEY_ID
os.environ["AWS_SECRET_ACCESS_KEY"] = AWS_SECRET_ACCESS_KEY
os.environ["FI_API_KEY"] = FI_API_KEY
os.environ["FI_SECRET_KEY"] = FI_SECRET_KEY

Quickstart

Register Tracer Provider

Set up the trace provider to establish the observability pipeline. The trace provider:

from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType

trace_provider = register(
    project_type=ProjectType.OBSERVE,
    project_name="bedrock_app"
)

Configure Bedrock Instrumentation

Instrument the Bedrock client to enable telemetry collection. This step ensures that all interactions with the Bedrock SDK are tracked and monitored.

from traceai_bedrock import BedrockInstrumentor

BedrockInstrumentor().instrument(tracer_provider=trace_provider)

Create Bedrock Components

Set up your Bedrock client with built-in observability.

def converse_with_claude():
    system_prompt = [{"text": "You are an expert at creating music playlists"}]
    messages = [
        {
            "role": "user",
            "content": [{"text": "Hello, how are you?"}, {"text": "What's your name?"}],
        }
    ]
    inference_config = {"maxTokens": 1024, "temperature": 0.0}

    try:
        response = client.converse(
            modelId="model_id",
            system=system_prompt,
            messages=messages,
            inferenceConfig=inference_config,
        )
        out = response["output"]["message"]
        messages.append(out)
        print(out)
    except Exception as e:
        print(f"Error: {str(e)}")

if __name__ == "__main__":
    converse_with_claude()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

traceai_bedrock-0.1.4.tar.gz (13.0 kB view details)

Uploaded Source

Built Distribution

traceai_bedrock-0.1.4-py3-none-any.whl (17.2 kB view details)

Uploaded Python 3

File details

Details for the file traceai_bedrock-0.1.4.tar.gz.

File metadata

  • Download URL: traceai_bedrock-0.1.4.tar.gz
  • Upload date:
  • Size: 13.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.0 CPython/3.13.0 Darwin/24.1.0

File hashes

Hashes for traceai_bedrock-0.1.4.tar.gz
Algorithm Hash digest
SHA256 e49b7a68f3f14d60c22bf3d5fbe1614081f3f9694b21f06ae144d48c270be8d1
MD5 ddca0d069a167af3e3bf9af7ce317420
BLAKE2b-256 86cdb9805c1ae54c90d5bc41fa813167181e3de85392958c4e57ae17216f495a

See more details on using hashes here.

File details

Details for the file traceai_bedrock-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: traceai_bedrock-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 17.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.0 CPython/3.13.0 Darwin/24.1.0

File hashes

Hashes for traceai_bedrock-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 af073864ec7945bd87c955ce9dfa0a497e297377ed3a950366ff013a726f745b
MD5 a8ecb18a4b3e3478c3aca234247a8819
BLAKE2b-256 50869ec43188e33d45f6921c4d10b12060075aa729507c750108bc858f49555d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page