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
- Install traceAI Bedrock
pip install traceAI-bedrock
- 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()
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