> ## Documentation Index
> Fetch the complete documentation index at: https://www.truefoundry.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Configuring Parameters

> Fine-tune model behavior with OpenAI-compatible parameters like temperature, max tokens, and stop sequences.

The chat completions API supports all OpenAI compatible parameters to fine-tune model behavior and response characteristics.

## Basic Parameters

Here's how to use common parameters:

```python lines theme={"dark"}
from openai import OpenAI

client = OpenAI(
    api_key="your_truefoundry_api_key",
    base_url="{GATEWAY_BASE_URL}"
)

response = client.chat.completions.create(
    model="openai-main/gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello, how are you?"}],
    temperature=0.7,  # Controls randomness (0.0 to 1.0)
    max_tokens=100,   # Maximum number of tokens to generate
    top_p=0.9,        # Nucleus sampling parameter
    frequency_penalty=0.0,  # Reduces repetition
    presence_penalty=0.0,   # Encourages new topics
    stop=["\n", "Human:"]   # Stop sequences
)

print(response.choices[0].message.content)
```

You can pass any of the parameters supported by OpenAI's API. You can refer to the [OpenAI API Reference](https://platform.openai.com/docs/api-reference/chat/create) for more details.

<Note>
  Some models from different vendors (or maybe even same vendors) do not support all the parameters supported by OpenAI's API. For example, temperature is not supported by `o` series models like o3-mini.
</Note>