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docs: fix typo
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README.md

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@@ -38,8 +38,8 @@ MutaHunter leverages LLM models to inject context-aware faults into your codebas
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- **Change-Based:** Runs mutation tests on modified files and lines based on the latest commit or pull request changes.
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- **Multi-Language Support:** Compatible with languages that provide coverage reports in Cobertura XML, Jacoco XML, and lcov formats.
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- **Extensible:** Extensible to additional languages and testing frameworks.
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- **Context-Aware:** Uses a map of your entire git repository to generate contextually relevant mutants.
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- **LLM Support:** Supports self-hosted, Anthropic, OpenAI, and any LLM models using LiteLLM.
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- **Context-Aware:** Uses a map of your entire git repository to generate contextually relevant mutants using [aider](https://aider.chat/docs/repomap.html).
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- **LLM Support:** Supports self-hosted, Anthropic, OpenAI, and any LLM models using [LiteLLM](https://github.com/BerriAI/litellm).
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- **Mutant Report** Provides detailed reports on mutation coverage, killed mutants, and survived mutants.
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## Getting Started
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# Or, work with Anthropic's models
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$ export ANTHROPIC_API_KEY=your-key-goes-here
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# Run Mutahunter on a specific file. **Note:** Make sure coverage report is generated and correspons to the test command.
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# Run Mutahunter on a specific file.
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# Coverage report should correspond to the test command.
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$ mutahunter run --test-command "pytest tests/unit" --code-coverage-report-path "coverage.xml" --only-mutate-file-paths "app_1.py" "app_2.py"
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# Run mutation testing on modified files based on the latest commit

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