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README.md

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@@ -162,8 +162,9 @@ python -m src.aggregators.aggregate_results --exp-name exp
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## Model and Tasks
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- **Model support**: MCPMark calls models via LiteLLM — see the LiteLLM docs: [`LiteLLM Doc`](https://docs.litellm.ai/docs/). For Claude extended thinking mode, we use Claude’s native API.
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- **Model support**: MCPMark calls models via LiteLLM — see the LiteLLM docs: [`LiteLLM Doc`](https://docs.litellm.ai/docs/). For Anthropic (Claude) extended thinking mode (enabled via `--reasoning-effort`), we use Anthropic’s native API (not LiteLLM).
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- See `docs/introduction.md` for details and configuration of supported models in MCPMark.
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- To add a new model or adjust defaults, edit `src/model_config.py`.
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- Task design principles in `docs/datasets/task.md`. Each task ships with an automated `verify.py` for objective, reproducible evaluation, see `docs/task.md` for details.
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