Every model on Runcrate has an interactive playground in the dashboard. Test models, experiment with parameters, and get auto-generated code — without writing any code yourself.Documentation Index
Fetch the complete documentation index at: https://runcrate.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
Accessing the Playground
- Go to Dashboard → Models
- Click on any model
- The playground opens with the model ready to use
Playground Types
The playground adapts to the model’s category:Chat Playground
For Chat, Code, Reasoning, and Vision models.- Real-time streaming — Responses appear token-by-token
- System prompt — Set the model’s behavior
- Multi-turn conversation — Full conversation history
- Temperature and max tokens — Adjustable via settings panel
- Image uploads — For vision-capable models, attach images to your messages
- Reasoning blocks — For reasoning models, thinking steps are shown in collapsible blocks
Image Playground
For image generation models.- Prompt input — Describe the image you want
- Parameter controls — Aspect ratio, steps, guidance, seed, and model-specific settings
- Live preview — Generated images display inline
- Reference images — Upload images for img2img, editing, and Kontext models
Video Playground
For video generation models.- Prompt input — Describe the video
- Duration selector — Choose from available durations (buttons or slider depending on model)
- Async status — Shows job status (queued → processing → completed)
- Video player — Watch the result directly in the browser
- Download — Save the MP4
TTS Playground
For text-to-speech models.- Text input — Enter the text to speak
- Voice selector — Choose from available voice presets
- Audio player — Listen to the result with streaming playback
ASR Playground
For speech-to-text models.- File upload — Upload an audio file (MP3, WAV, etc.)
- Transcription output — View the transcribed text
- Duration and language — Shows detected language and audio duration
Auto-Generated Code
Every playground shows a code panel with working examples in three languages:- curl — Direct HTTP request
- Python — Using the OpenAI SDK
- JavaScript — Using the OpenAI SDK