Sandbox & Playground
Explore Regolo AI models interactively without writing code.
Regolo Playground
The Regolo Playground is an interactive web interface where you can:
- Test different models - Compare responses across model families
- Experiment with parameters - Adjust temperature, max tokens, and more
- Save conversations - Keep track of your experiments
- Export code - Generate code snippets in your preferred language
Available Models
In the playground, you can test all available models:
| Model Family | Example Models | Best For |
|---|---|---|
| Llama | Llama-3.3-70B-Instruct | General chat, reasoning |
| Vision | Llama-3.2-11B-Vision-Instruct | Image understanding |
| Embedding | multilingual-e5-large-instruct | Text embeddings |
| Rerank | bge-reranker-v2-m3 | Search result reranking |
See the full model catalog for all available models.
Playground Features
System Prompts
Set custom system prompts to control the assistant's behavior:
You are a helpful coding assistant specialized in Python.
Provide concise answers with code examples when relevant.
Parameter Tuning
| Parameter | Range | Description |
|---|---|---|
temperature |
0.0 - 2.0 | Controls randomness (lower = more focused) |
max_tokens |
1 - 4096+ | Maximum response length |
top_p |
0.0 - 1.0 | Nucleus sampling threshold |
frequency_penalty |
-2.0 - 2.0 | Reduces repetition |
Conversation History
The playground maintains conversation context, allowing you to:
- Build multi-turn conversations
- Test follow-up questions
- Simulate real-world chat scenarios
API Testing
For direct API testing, check out the interactive API documentation:
The Swagger UI allows you to:
- Browse all available endpoints
- Make authenticated requests
- View request/response schemas
- Download OpenAPI specification
Tips for Experimentation
- Start simple - Begin with basic prompts before adding complexity
- Compare models - Same prompt, different models, different results
- Iterate on prompts - Small changes can significantly improve outputs
- Save successful prompts - Export configurations for production use
- Monitor tokens - Watch token usage to optimize costs