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Merge pull request #657 from Samuvigano/docs/update-claude-models
Docs/update claude models
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@@ -53,7 +53,7 @@ async for _ in agent.run("Take a screenshot, analyze the UI, and click on the mo
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pass
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```
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### GTA1 + Claude 3.5 Sonnet
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### GTA1 + Claude 4.5 Sonnet
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Combine state-of-the-art grounding with powerful reasoning:
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@@ -30,9 +30,9 @@ Access Anthropic's computer use models directly or through Azure AI Foundry usin
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#### Via Anthropic API
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```python
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model="anthropic/claude-3-7-sonnet-20250219"
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model="anthropic/claude-opus-4-20250514"
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model="anthropic/claude-sonnet-4-20250514"
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model="anthropic/claude-haiku-4-5-20251001" # Claude Haiku 4.5 (fastest, cost-effective)
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model="anthropic/claude-sonnet-4-5-20250929" # Claude Sonnet 4.5 (recommended)
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model="anthropic/claude-opus-4-5-20251101" # Claude Opus 4.5 (most advanced)
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```
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**Setup:** Set `ANTHROPIC_API_KEY` environment variable with your Anthropic API key.
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@@ -80,7 +80,7 @@ CUA_API_KEY=sk_cua-api01...
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CUA_CONTAINER_NAME=m-linux-...
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```
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Finally, setup your VM. Refer to the [quickstart guide](https://cua.ai/docs/get-started/quickstart) on how to setup the computer environment.
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Finally, setup your sandbox. Refer to the [quickstart guide](https://cua.ai/docs/get-started/quickstart) on how to setup the computer environment.
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</Step>
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<Step>
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@@ -475,6 +475,13 @@ Choose how you want to access vision-language models for your agent:
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- `cua/anthropic/claude-haiku-4.5` - Claude Haiku 4.5 (faster, cost-effective)
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- `cua/qwen/qwen3-vl-235b` - Qwen3 VL 235B (large-scale vision-language tasks)
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**Available composed models**
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- `huggingface-local/HelloKKMe/GTA1-7B+anthropic/claude-sonnet-4-5-20250929` - GTA1 grounding + Claude Sonnet 4.5 planning
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- `huggingface-local/HelloKKMe/GTA1-7B+openai/gpt-5` - GTA1 grounding + GPT-5 planning
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- `huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B+openai/gpt-4o` - UI-TARS grounding + GPT-4o planning
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- `moondream3+openai/gpt-4o` - Moondream3 grounding + GPT-4o planning
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**Benefits:**
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- Single API key for multiple providers
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- Cost tracking and optimization
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