Documentation Index
Fetch the complete documentation index at: https://docs.hipocap.com/llms.txt
Use this file to discover all available pages before exploring further.
Overview
Laminar automatically instruments the official Anthropic package with a single line of code, allowing you to trace and monitor all your Anthropic API calls without modifying your existing code. This provides complete visibility into your AI application’s performance, costs, and behavior.
Getting Started
1. Install Laminar and Anthropic
npm install @lmnr-ai/lmnr @anthropic-ai/sdk
2. Set up your environment variables
Store your API keys in a .env file:# .env file
LMNR_PROJECT_API_KEY=your-laminar-project-api-key
ANTHROPIC_API_KEY=your-anthropic-api-key
If you are using Anthropic with Next.js, please follow the Next.js integration guide for best practices and setup instructions. 3. Initialize Laminar
Just add a single line at the start of your application or file to instrument Anthropic with Laminar.import { Laminar } from '@lmnr-ai/lmnr';
import Anthropic from '@anthropic-ai/sdk';
import 'dotenv/config'; // Load environment variables
// This single line instruments all Anthropic API calls
Laminar.initialize({
instrumentModules: { anthropic: Anthropic }
});
// Initialize Anthropic client as usual
const anthropic = new Anthropic();
It is important to pass Anthropic to instrumentModules as a named export.
4. Use Anthropic as usual
// Make API calls to Anthropic as you normally would
const response = await anthropic.messages.create({
model: "claude-3-7-sonnet",
max_tokens: 1024,
messages: [
{ role: "user", content: "Hello, how are you?" }
],
});
console.log(response.content);
1. Install Laminar and Anthropic
pip install 'lmnr[all]' anthropic python-dotenv
2. Set up your environment variables
Store your API keys in a .env file:# .env file
LMNR_PROJECT_API_KEY=your-laminar-project-api-key
ANTHROPIC_API_KEY=your-anthropic-api-key
3. Initialize Laminar
Just add a single line at the start of your application or file to instrument Anthropic with Laminar.from lmnr import Laminar
from anthropic import Anthropic
import os
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
# This single line instruments all Anthropic API calls
Laminar.initialize()
# Initialize Anthropic client as usual
client = Anthropic()
4. Use Anthropic as usual
# Make API calls to Anthropic as you normally would
response = client.messages.create(
model="claude-3-7-sonnet",
max_tokens=1024,
messages=[
{"role": "user", "content": "Hello, how are you?"}
]
)
print(response.content)
Monitoring Your Anthropic Usage
After instrumenting your Anthropic calls with Laminar, you’ll be able to:
- View detailed traces of each Anthropic API call, including request and response
- Track token usage and cost across different models
- Monitor latency and performance metrics
- Open LLM span in Playground for prompt engineering
- Debug issues with failed API calls or unexpected model outputs
Visit your Laminar dashboard to view your Anthropic traces and analytics.
Advanced Features
- Enrich traces with sessions, user IDs, metadata, and tags via the SDK reference.
- Wrap custom functions with
observe to capture business logic alongside model calls (see the SDK reference).
