---
license: apache-2.0
---
# Troviku-1.1

**OpenTrouter/Troviku-1.1** is the inaugural model in the Troviku series, a family of large language models specifically engineered for advanced code generation, analysis, and software development tasks.

## Model Overview

Troviku-1.1 represents a significant advancement in AI-assisted programming, offering state-of-the-art performance across multiple programming languages and software engineering paradigms. The model has been trained on a diverse corpus of high-quality code repositories, technical documentation, and algorithmic implementations.

### Key Capabilities

- **Multi-language Proficiency**: Expert-level understanding of Python, JavaScript, TypeScript, Java, C++, Rust, Go, and 20+ additional programming languages
- **Algorithm Design**: Advanced problem-solving for data structures, algorithms, and computational optimization
- **Code Review**: Intelligent analysis of code quality, security vulnerabilities, and performance bottlenecks
- **Documentation Generation**: Automatic creation of comprehensive technical documentation and API references
- **Debugging Assistance**: Sophisticated error detection and resolution strategies
- **Architectural Planning**: System design and software architecture recommendations

## Technical Specifications

| Attribute | Value |
|-----------|-------|
| Model Type | Autoregressive Transformer |
| Parameters | Optimized for coding tasks |
| Context Window | 8,192 tokens |
| Training Data Cutoff | January 2025 |
| License | See LICENSE file |

## Performance Benchmarks

Troviku-1.1 achieves competitive results on standard coding benchmarks:

- **HumanEval**: High pass rate on function synthesis tasks
- **MBPP**: Strong performance on basic Python programming problems
- **CodeContests**: Effective competitive programming solutions
- **DS-1000**: Robust data science code generation

## Quick Start

### Installation

```bash
pip install troviku-client
```

### Basic Usage

```python
from troviku import TrovikuClient

client = TrovikuClient(api_key="your_api_key")

response = client.generate(
    prompt="Create a binary search tree implementation with insert and search methods",
    language="python",
    max_tokens=1024
)

print(response.code)
```

### API Integration

```python
import requests

url = "https://api.opentrouter.ai/v1/chat/completions"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
}

payload = {
    "model": "OpenTrouter/Troviku-1.1",
    "messages": [
        {"role": "user", "content": "Write a function to calculate Fibonacci numbers"}
    ],
    "temperature": 0.7
}

response = requests.post(url, json=payload, headers=headers)
print(response.json())
```

## Use Cases

### Software Development
- Rapid prototyping and boilerplate generation
- Test case creation and validation
- Code refactoring and optimization

### Education
- Programming concept explanation
- Code example generation
- Interactive learning assistance

### DevOps
- Script automation
- Configuration file generation
- Infrastructure as Code (IaC) development

### Research
- Algorithm implementation
- Computational experiment design
- Data processing pipeline creation

## Model Limitations

While Troviku-1.1 excels at coding tasks, users should be aware of the following limitations:

- Code generation should always be reviewed by experienced developers
- Complex system-level designs may require human architectural oversight
- Security-critical code must undergo thorough security audits
- Generated code may not always follow organization-specific style guides
- Performance optimization may require domain expertise

## Responsible Use

Users of Troviku-1.1 should:

- Validate all generated code before production deployment
- Ensure compliance with relevant software licenses
- Apply appropriate security testing to generated code
- Use the model as an assistive tool rather than a replacement for developer judgment

## Citation

If you use Troviku-1.1 in your research or projects, please cite:

```bibtex
@misc{troviku2025,
  title={Troviku-1.1: A Specialized Code Generation Model},
  author={OpenTrouter Team},
  year={2025},
  publisher={OpenTrouter},
  howpublished={\url{https://github.com/OpenTrouter/Troviku-1.1}}
}
```

## Support and Community

- **Documentation**: [https://docs.opentrouter.ai/troviku](https://docs.opentrouter.ai/troviku)
- **Issues**: [GitHub Issues](https://github.com/OpenTrouter/Troviku-1.1/issues)
- **Discord**: [OpenTrouter Community](https://discord.gg/opentrouter)
- **Email**: support@opentrouter.ai

## Version History

### v1.1 (Current)
- Initial release of the Troviku series
- Support for 25+ programming languages
- Optimized inference performance
- Enhanced code quality and safety

## License

This model is released under the OpenTrouter Model License. See the LICENSE file for details.

## Acknowledgments

The Troviku team acknowledges the contributions of the open-source community and the developers whose code repositories helped train this model within acceptable licensing frameworks.