# LLM observability

> LLM observability - Enable LLMOps or Observability in your existing Generative AI Solutions without
> refactoring code.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:09.583687+00:00` (UTC).

## Primary page

- [LLM observability](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-eval-metrics/observability.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [Model evaluation and metrics](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-eval-metrics/index.html): Linked from this page.

## Documentation content

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/main/generative_ai/external_monitoring/README.md)

This accelerator shows how you can quickly and seamlessly enable LLMOps or [Observability](https://www.datarobot.com/platform/generative-ai/) in your existing Generative AI Solutions without refactoring code. This accelerator includes examples of the industry leading LLMs to show how easy it is to start monitoring an LLM and the solution built on top of it with all the hallmark features available in DataRobot's MLOps platform.

The following LLMs are showcased in the accelerator:

- PaLM 2 by Google
- GPT4 by OpenAI
- Titan by AWS Bedrock
- Claude by Anthropic