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@@ -74,7 +74,7 @@ The `cua-agent` package provides three agent loops variations, based on differen
|:-----------|:-----------------|:------------|:-------------|
| `AgentLoop.OPENAI` | • `computer_use_preview` | Use OpenAI Operator CUA model | Not Required |
| `AgentLoop.ANTHROPIC` | • `claude-3-5-sonnet-20240620`<br>• `claude-3-7-sonnet-20250219` | Use Anthropic Computer-Use | Not Required |
| `AgentLoop.OMNI` <br>(preview) | • `claude-3-5-sonnet-20240620`<br>• `claude-3-7-sonnet-20250219`<br>• `gpt-4.5-preview`<br>• `gpt-4o`<br>• `gpt-4`<br>• `gpt-3.5-turbo` | Use OmniParser for element pixel-detection (SoM) and any VLMs | OmniParser |
| `AgentLoop.OMNI` <br>(experimental) | • `claude-3-5-sonnet-20240620`<br>• `claude-3-7-sonnet-20250219`<br>• `gpt-4.5-preview`<br>• `gpt-4o`<br>• `gpt-4` | Use OmniParser for element pixel-detection (SoM) and any VLMs for UI Grounding and Reasoning | OmniParser |
## AgentResponse
The `AgentResponse` class represents the structured output returned after each agent turn. It contains the agent's response, reasoning, tool usage, and other metadata. The response format aligns with the new [OpenAI Agent SDK specification](https://platform.openai.com/docs/api-reference/responses) for better consistency across different agent loops.