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opik-langchain

v1.10.13

Published

Opik TypeScript and JavaScript SDK integration with LangChain

Readme

Opik LangChain Integration

npm version License

Seamlessly integrate Opik observability with your LangChain applications to trace, monitor, and debug your LLM chains, agents, and tools.

Features

  • 🔍 Comprehensive Tracing: Automatically trace LLM calls, chains, tools, retrievers, and agents
  • 📊 Hierarchical Visualization: View your LangChain execution as a structured trace with parent-child relationships
  • 📝 Detailed Metadata Capture: Record model names, prompts, completions, usage statistics, and custom metadata
  • 🚨 Error Handling: Capture and visualize errors at every step of your LangChain execution
  • 🏷️ Custom Tagging: Add custom tags to organize and filter your traces

Installation

# npm
npm install opik-langchain

# yarn
yarn add opik-langchain

# pnpm
pnpm add opik-langchain

Requirements

  • Node.js ≥ 18
  • LangChain (@langchain/core ≥ 0.3.42)
  • Opik SDK (automatically installed as a dependency)

Quick Start

import { OpikCallbackHandler } from "opik-langchain";
import { ChatOpenAI } from "@langchain/openai";

// Create the Opik callback handler
const opikHandler = new OpikCallbackHandler();

// Create your LangChain components with the handler
const llm = new ChatOpenAI({
  callbacks: [opikHandler],
});

// Run LLM
const response = await llm.invoke("Hello, how can you help me today?", {
  callbacks: [opikHandler],
});

// Optionally, ensure all traces are sent before your app terminates
await opikHandler.flushAsync();

Advanced Configuration

The OpikCallbackHandler constructor accepts the following options:

interface OpikCallbackHandlerOptions {
  // Optional array of tags to apply to all traces
  tags?: string[];

  // Optional metadata to include with all traces
  metadata?: Record<string, unknown>;

  // Optional project name for Opik
  projectName?: string;

  // Optional pre-configured Opik client
  client?: Opik;
}

Capturing Custom Metadata

You can pass custom metadata when invoking your chains:

const response = await chain.invoke(
  { input: "Tell me about AI" },
  {
    callbacks: [opikHandler],
    metadata: {
      userId: "user-123",
      sessionId: "session-456",
      requestId: "req-789",
    },
  }
);

Viewing Traces

To view your traces:

  1. Sign in to your Comet account
  2. Navigate to the Opik section
  3. Select your project to view all traces
  4. Click on a specific trace to see the detailed execution flow

Learn More

License

Apache 2.0