> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gately.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Chat Playground
> Interactive environment for testing and experimenting with LLM models
## Overview
The Chat Playground provides an interactive environment to test different LLM models and fine-tune their parameters for optimal results.
## Interface Components
Choose from available models:
* GPT-4 Turbo
* Claude 3
* Gemini Pro
* Custom Models
Adjust model behavior:
* Temperature
* Max tokens
* Top P
* Frequency penalty
* Presence penalty
Set the context and behavior instructions for the AI model
## Using the Playground
1. Choose your preferred model
2. Review model capabilities
3. Check credit consumption rate
1. Adjust temperature for creativity
2. Set maximum response length
3. Fine-tune other parameters
1. Enter your prompt
2. View real-time responses
3. Iterate and refine
## Features
Save successful prompts for future use
Download conversations and settings
Collaborate with team members
View API calls for implementation
## Code Generation
```python theme={null}
# Example API call matching playground settings
from openai import OpenAI
client = OpenAI(
api_key="your-api-key",
base_url="https://api.gately.ai/v1"
)
response = client.chat.completions.create(
model="gpt-4-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Tell me about AI."}
],
temperature=0.7,
max_tokens=150
)
```
The playground automatically generates API code based on your current settings and prompts.
## Tips & Best Practices
Begin with basic prompts and iterate
Test same prompt across models
Track successful configurations
Remember that playground usage consumes credits according to the selected model's pricing.