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Installation

Install the Netra SDK along with the AWS SDK for Bedrock: 
pip install netra-sdk boto3

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Usage

Netra SDK automatically instruments AWS Bedrock calls when you enable the botocore instrumentation. This captures traces for all Bedrock API calls including model invocations, streaming responses, and embeddings.

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Basic Setup

Initialize Netra with Bedrock instrumentation enabled: 
from netra import Netra
import boto3
import os

# Initialize Netra SDK
Netra.init(
    headers=f"x-api-key={os.environ.get('NETRA_API_KEY')}",
    app_name="bedrock-app"
)

# Create Bedrock client - automatically instrumented
bedrock = boto3.client(
    service_name='bedrock-runtime',
    region_name='us-east-1'
)

# Make Bedrock calls - automatically traced
response = bedrock.invoke_model(
    modelId='anthropic.claude-v2',
    body='{"prompt": "Hello, world!"}'
)

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Model Invocation

The SDK automatically captures model invocations with full request and response details: 
from netra import Netra
import boto3
import json
import os

Netra.init(headers=f"x-api-key={os.environ.get('NETRA_API_KEY')}")

bedrock = boto3.client('bedrock-runtime', region_name='us-east-1')

# Text generation
response = bedrock.invoke_model(
    modelId='anthropic.claude-v2',
    body=json.dumps({
        "prompt": "Explain AI observability",
        "max_tokens_to_sample": 300
    })
)

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Streaming Responses

Bedrock streaming responses are automatically traced with full visibility: 
from netra import Netra
import boto3
import json
import os

Netra.init(headers=f"x-api-key={os.environ.get('NETRA_API_KEY')}")

bedrock = boto3.client('bedrock-runtime', region_name='us-east-1')

response = bedrock.invoke_model_with_response_stream(
    modelId='anthropic.claude-v2',
    body=json.dumps({
        "prompt": "Write a story",
        "max_tokens_to_sample": 500
    })
)

# Stream automatically traced
for event in response['body']:
    chunk = json.loads(event['chunk']['bytes'])
    print(chunk.get('completion', ''))

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Session Tracking

Track user sessions and conversations with Bedrock models: 
from netra import Netra
import boto3
import json

Netra.init(api_key="your-api-key")
Netra.set_session_id("session-123")
Netra.set_user_id("user-456")

bedrock = boto3.client('bedrock-runtime', region_name='us-east-1')

# All calls automatically tagged with session context
response = bedrock.invoke_model(
    modelId='anthropic.claude-v2',
    body=json.dumps({"prompt": "Hello"})
)

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Next Steps

Last modified on January 30, 2026