diff --git a/libs/python/agent/agent/adapters/__init__.py b/libs/python/agent/agent/adapters/__init__.py
index 1f07a9fc..cded1d34 100644
--- a/libs/python/agent/agent/adapters/__init__.py
+++ b/libs/python/agent/agent/adapters/__init__.py
@@ -2,6 +2,7 @@
 Adapters package for agent - Custom LLM adapters for LiteLLM
 """
 
+from .cua_adapter import CUAAdapter
 from .huggingfacelocal_adapter import HuggingFaceLocalAdapter
 from .human_adapter import HumanAdapter
 from .mlxvlm_adapter import MLXVLMAdapter
@@ -10,4 +11,5 @@ __all__ = [
     "HuggingFaceLocalAdapter",
     "HumanAdapter",
     "MLXVLMAdapter",
+    "CUAAdapter",
 ]
diff --git a/libs/python/agent/agent/adapters/cua_adapter.py b/libs/python/agent/agent/adapters/cua_adapter.py
new file mode 100644
index 00000000..76e13977
--- /dev/null
+++ b/libs/python/agent/agent/adapters/cua_adapter.py
@@ -0,0 +1,73 @@
+import os
+from typing import Any, AsyncIterator, Iterator
+
+from litellm import acompletion, completion
+from litellm.llms.custom_llm import CustomLLM
+from litellm.types.utils import GenericStreamingChunk, ModelResponse
+
+
+class CUAAdapter(CustomLLM):
+    def __init__(self, base_url: str | None = None, api_key: str | None = None, **_: Any):
+        super().__init__()
+        self.base_url = base_url or os.environ.get("CUA_BASE_URL") or "https://inference.cua.ai/v1"
+        self.api_key = api_key or os.environ.get("CUA_INFERENCE_API_KEY") or os.environ.get("CUA_API_KEY")
+
+    def _normalize_model(self, model: str) -> str:
+        # Accept either "cua/<model>" or raw "<model>"
+        return model.split("/", 1)[1] if model and model.startswith("cua/") else model
+
+    def completion(self, *args, **kwargs) -> ModelResponse:
+        params = dict(kwargs)
+        inner_model = self._normalize_model(params.get("model", ""))
+        params.update(
+            {
+                "model": f"openai/{inner_model}",
+                "api_base": self.base_url,
+                "api_key": self.api_key,
+                "stream": False,
+            }
+        )
+        return completion(**params)  # type: ignore
+
+    async def acompletion(self, *args, **kwargs) -> ModelResponse:
+        params = dict(kwargs)
+        inner_model = self._normalize_model(params.get("model", ""))
+        params.update(
+            {
+                "model": f"openai/{inner_model}",
+                "api_base": self.base_url,
+                "api_key": self.api_key,
+                "stream": False,
+            }
+        )
+        return await acompletion(**params)  # type: ignore
+
+    def streaming(self, *args, **kwargs) -> Iterator[GenericStreamingChunk]:
+        params = dict(kwargs)
+        inner_model = self._normalize_model(params.get("model", ""))
+        params.update(
+            {
+                "model": f"openai/{inner_model}",
+                "api_base": self.base_url,
+                "api_key": self.api_key,
+                "stream": True,
+            }
+        )
+        # Yield chunks directly from LiteLLM's streaming generator
+        for chunk in completion(**params):  # type: ignore
+            yield chunk  # type: ignore
+
+    async def astreaming(self, *args, **kwargs) -> AsyncIterator[GenericStreamingChunk]:
+        params = dict(kwargs)
+        inner_model = self._normalize_model(params.get("model", ""))
+        params.update(
+            {
+                "model": f"openai/{inner_model}",
+                "api_base": self.base_url,
+                "api_key": self.api_key,
+                "stream": True,
+            }
+        )
+        stream = await acompletion(**params)  # type: ignore
+        async for chunk in stream:  # type: ignore
+            yield chunk  # type: ignore
diff --git a/libs/python/agent/agent/agent.py b/libs/python/agent/agent/agent.py
index f85c513c..42f04a00 100644
--- a/libs/python/agent/agent/agent.py
+++ b/libs/python/agent/agent/agent.py
@@ -23,11 +23,7 @@ import litellm
 import litellm.utils
 from litellm.responses.utils import Usage
 
-from .adapters import (
-    HuggingFaceLocalAdapter,
-    HumanAdapter,
-    MLXVLMAdapter,
-)
+from .adapters import CUAAdapter, HuggingFaceLocalAdapter, HumanAdapter, MLXVLMAdapter
 from .callbacks import (
     BudgetManagerCallback,
     ImageRetentionCallback,
@@ -278,10 +274,12 @@ class ComputerAgent:
         )
         human_adapter = HumanAdapter()
         mlx_adapter = MLXVLMAdapter()
+        cua_adapter = CUAAdapter()
         litellm.custom_provider_map = [
             {"provider": "huggingface-local", "custom_handler": hf_adapter},
             {"provider": "human", "custom_handler": human_adapter},
             {"provider": "mlx", "custom_handler": mlx_adapter},
+            {"provider": "cua", "custom_handler": cua_adapter},
         ]
         litellm.suppress_debug_info = True