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How can I integrate New Relic AI monitoring with DeepSeek-R1


Integrating New Relic AI monitoring with DeepSeek-R1 involves several steps that help you monitor the performance, quality, and cost of your AI applications. Here's a detailed guide on how to achieve this integration:

Step 1: Setting Up DeepSeek-R1 Locally

First, ensure that you have a DeepSeek-R1 model set up locally. DeepSeek models are known for their innovative architecture, particularly the mixture-of-experts (MoE) design, which enhances efficiency by activating only relevant submodels for specific tasks[1][3].

Step 2: Using OpenAI-Compatible API

DeepSeek models use an OpenAI-compatible API. This means you can integrate them into your application using the OpenAI SDK, which simplifies the monitoring process with New Relic[1].

Step 3: Integrating with New Relic AI Monitoring

1. Sign Up or Log In to New Relic: Start by signing up for a New Relic account or logging in if you already have one. New Relic offers a free account option, making it accessible for testing and development[1].

2. Configure New Relic for OpenAI: Since DeepSeek uses an OpenAI-compatible API, you will configure New Relic as if you were integrating OpenAI directly.
- Navigate to Integrations & Agents in your New Relic account.
- In the search bar, type OpenAI and select it.
- Choose your application’s programming language (e.g., Python, Node.js).
- Follow the guided onboarding process provided by New Relic to instrument your AI application built with DeepSeek[1].

3. Instrument Your Application: New Relic provides APM agents that can be easily integrated into your application. These agents collect metrics and event data from AI libraries and frameworks, allowing you to monitor your AI application's performance in real-time[2][8].

4. Customize Agent Behavior: Once the agent is installed, you can customize its behavior to suit your needs. This includes enabling or disabling features like streaming and content recording, which are crucial for monitoring AI interactions[5].

5. Monitor Performance and Quality: With New Relic AI monitoring, you can gain insights into key metrics such as response time, quality, tokens used, and infrastructure performance. This helps in identifying bottlenecks and optimizing your AI application's overall functionality[10].

6. Model Comparison and Optimization: New Relic's model comparison feature allows you to evaluate different AI models based on performance, quality, and cost. This is particularly useful when deciding whether to switch to a newer model like DeepSeek-R1, as it helps in assessing the impact on your application[4][9].

Step 4: Ensuring Data Privacy and Security

When using New Relic AI monitoring, ensure that you comply with data privacy regulations. Since AI monitoring can record inputs and outputs, including personal information, it's essential to obtain consent from users and implement necessary data protection measures[2].

Step 5: Leveraging Insights for Innovation

Finally, use the insights gained from New Relic AI monitoring to drive innovation and improve your AI applications. By optimizing performance and cost, you can accelerate AI adoption and achieve a quicker return on investment (ROI)[4][7].

This integration not only enhances the visibility into your AI stack but also supports the cost-effective and efficient nature of DeepSeek models, making AI more accessible and driving faster innovation.

Citations:
[1] https://newrelic.com/blog/how-to-relic/deploy-deepseek-models-locally-and-monitor-with-new-relic-ai-monitoring
[2] https://docs.newrelic.com/install/ai-monitoring/
[3] https://618media.com/en/blog/integrating-deepseek-r1-into-existing-systems-a-guide/
[4] https://newrelic.com/press-release/20250203
[5] https://docs.newrelic.com/docs/ai-monitoring/customize-agent-ai-monitoring/
[6] https://learn.odoo.com/groups/in-5/new-relic-extends-its-ai-monitoring-to-support-deepseek-4237?mode=date
[7] https://radicaldatascience.wordpress.com/tag/deepseek/
[8] https://newrelic.com/blog/how-to-relic/ai-monitoring
[9] https://www.computerweekly.com/news/366618774/New-Relic-extends-observability-to-DeepSeek
[10] https://newrelic.com/platform/ai-monitoring