Anthropic

Using Langtrace to monitor your Claude backed LLM apps is quick and easy. Follow these steps:

Setup

Install Langtrace’s SDK and initialize the SDK in your code.

Note: You’ll need API keys from Langtrace and Anthropic. Sign up for Langtrace and/or Anthropic if you haven’t done so already.

Python

# Install the SDK
pip install -U langtrace-python-sdk anthropic

Setup environment variables:

Shell

export LANGTRACE_API_KEY=YOUR_LANGTRACE_API_KEY
export ANTHROPIC_API_KEY=YOUR_ANTHROPIC_API_KEY

Usage

Generate a simple output with your deployment’s model:

# Imports import os
import os
from langtrace_python_sdk import langtrace # Must precede any llm module imports
langtrace.init(api_key = os.environ['LANGTRACE_API_KEY'])
from anthropic import Anthropic
client = Anthropic(
# This is the default and can be omitted
api_key=os.environ.get("ANTHROPIC_API_KEY"),
)

# Query Anthropic's claude-3-opus MODEL:
message = client.messages.create(
max_tokens=1024,
messages=[
    {
        "role": "user",
        "content": "Hello, Claude",
    }
],
model="claude-3-opus-20240229",
)
print(message)

You can now view your traces on the Langtrace dashboard

Want to see more supported methods? Checkout the sample code in the Langtrace Anthropic Python Example repository.

Getting Started

Tracing

Prompting

Evaluations & Testing

Supported Integrations

API Reference

Hosting

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Setup

Usage

​Setup

​Usage

Setup

Usage