Langtrace integrates directly with Langchain, offering detailed, real-time insights into performance metrics such as cost, token usage, accuracy, and latency.

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Setup

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

Note: You’ll need API key from Langtrace. Sign up for Langtrace if you haven’t done so already.

Python
# Install the SDK
pip install -U langtrace-python-sdk langchain langchain-chroma langchainhub
Typescript
npm install @pinecone-database/pinecone-client
  1. Setup environment variables:
Shell
export LANGTRACE_API_KEY=YOUR_LANGTRACE_API_KEY
export OPENAI_API_KEY=YOUR_OPENAI_API_KEY

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Usage

Generate a simple output with your deployment’s model:

Create a vector store index and query it

Retrieve and generate using the relevant snippets of the document.

Format our document ,setup a rag chain and query

You can now view your traces on the Langtrace dashboard

Want to see more supported methods? Checkout the sample code in the Langtrace Langchain Python Example

LlamaIndexCrewAI