# Datadog (LLM Obs)
> Datadog LLM Observability is a specialized monitoring and diagnostic suite designed specifically for generative AI and Large Language Model applications. It allows developers and operations teams to trace nested LLM calls, monitor token consumption, evaluate model performance, and ensure prompt security within a unified observability platform.
- URL: https://optimly.ai/brand/datadog-llm-obs
- Slug: datadog-llm-obs
- BAI Score: 68/100
- Archetype: Challenger
- Category: Software & Technology
- Last Analyzed: April 10, 2026
## Buyer Intent Signals
Problems: Manual Logging & Spreadsheets: Developers manually logging LLM inputs, outputs, and token counts to internal databases or spreadsheets. | Internal Tooling: Building an internal custom dashboard using Python/Streamlit to visualize OpenAI API usage.
Solutions: best enterprise llm observability tools | how to monitor openai token usage at scale | how to debug langchain chains in real time | full stack observability for generative ai apps | free llm prompt tracing tools for developers | Generic Logging Tools: Using a generic logging tool like ELK Stack or basic CloudWatch logs that aren't optimized for LLM metrics.