diff --git a/docs/content/docs/agent-sdk/integrations/meta.json b/docs/content/docs/agent-sdk/integrations/meta.json
index 7b7ebb812..f8ad4991f 100644
--- a/docs/content/docs/agent-sdk/integrations/meta.json
+++ b/docs/content/docs/agent-sdk/integrations/meta.json
@@ -1,4 +1,7 @@
 {
   "title": "Integrations",
-  "pages": ["hud"]
-}
+  "pages": [
+    "hud",
+    "observability"
+  ]
+}
\ No newline at end of file
diff --git a/docs/content/docs/agent-sdk/integrations/observability.mdx b/docs/content/docs/agent-sdk/integrations/observability.mdx
new file mode 100644
index 000000000..3b1a316ef
--- /dev/null
+++ b/docs/content/docs/agent-sdk/integrations/observability.mdx
@@ -0,0 +1,62 @@
+---
+title: Observability
+description: Trace CUA execution steps and sessions
+---
+
+## Observability
+
+CUA has a native integration with [Laminar](https://laminar.sh/) – open-source platform for tracing, evals, and labeling of autonomous AI agents. Read more about Laminar in the [Laminar docs](https://docs.lmnr.ai/).
+
+## Setup
+
+Register on [Laminar Cloud](https://laminar.sh/) or spin up a [local instance](https://github.com/lmnr-ai/lmnr) and get the key from your project settings. Set the `LMNR_PROJECT_API_KEY` environment variable to your key.
+
+```bash
+pip install lmnr[all]
+export LMNR_PROJECT_API_KEY=your-key
+```
+
+## Usage
+
+Then, initialize Laminar at the entry point of your application, register Laminar LiteLLM callback, and all steps of CUA will be automatically traced.
+
+```python
+import os
+
+import litellm
+
+from agent import ComputerAgent
+from computer import Computer
+from lmnr import Laminar, LaminarLiteLLMCallback # [!code highlight]
+
+Laminar.initialize() # [!code highlight]
+litellm.callbacks.append(LaminarLiteLLMCallback()) # [!code highlight]
+
+computer = Computer(
+    os_type="linux",
+    provider_type="cloud",
+    name=os.getenv("CUA_CONTAINER_NAME"),
+    api_key=os.getenv("CUA_API_KEY"),
+)
+
+agent = ComputerAgent(
+    model="openai/computer-use-preview",
+    tools=[computer],
+)
+
+async def main():
+    async for step in agent.run("Create a new file called 'test.txt' in the current directory"):
+        print(step["output"])
+
+if __name__ == "__main__":
+    asyncio.run(main())
+```
+
+## Viewing traces
+
+You can view traces in the Laminar UI by going to the traces tab in your project. When you select a trace,
+you will see all the agent execution steps, including computer actions, LLM calls, and screenshots.
+
+For each step, you will see the LLM call, the computer action. The computer actions are highlighted in the timeline in yellow.
+
+<img src="/docs/img/laminar_trace_example.png" alt="Example trace in Laminar showing the litellm.response span and its output." width="800px" />
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diff --git a/docs/content/docs/meta.json b/docs/content/docs/meta.json
index c3517f0aa..af9123e73 100644
--- a/docs/content/docs/meta.json
+++ b/docs/content/docs/meta.json
@@ -16,4 +16,4 @@
     "---[CodeXml]API Reference---",
     "...libraries"
   ]
-}
+}
\ No newline at end of file
diff --git a/docs/public/img/laminar_trace_example.png b/docs/public/img/laminar_trace_example.png
new file mode 100644
index 000000000..75c3139d7
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