DeepSeek

​

Introduction

Langtrace provides native support for DeepSeek’s family of models. When using DeepSeek models, Langtrace automatically captures essential metrics including:

• Token usage
• Cost
• Latency
• Model hyperparameters

​

Prerequisites

Before integrating DeepSeek with Langtrace, ensure you have:

• A Langtrace account with an API key
• DeepSeek API credentials
• Python environment (3.6 or later)

​

Installation

1. Install the Langtrace Python SDK:

pip install -U langtrace-python-sdk

2. Set up your environment variables:

export LANGTRACE_API_KEY=YOUR_LANGTRACE_API_KEY

​

Integration

Initialize Langtrace before importing any LLM modules:

​

Viewing Traces

After integration, you can view your DeepSeek model traces in the Langtrace dashboard. The traces will include:

• Request/response payloads
• Token usage metrics
• Cost information
• Latency measurements
• Model configuration details

​

Additional Resources

• Langtrace Documentation
• DeepSeek API Documentation