> For the complete documentation index, see [llms.txt](https://docs.anyassistant.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.anyassistant.ai/anyassistant-builder/nodes/model/openai-text.md).

# OpenAI Text

## Inputs

#### API Key

The OpenAI Api key. Please visit your [API Keys](https://platform.openai.com/account/api-keys) page to retrieve the API key.

#### Model Name

The name of the model.

#### Temperature

What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

#### Top P

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top\_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.

#### Presence Penalty

A number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

[See more information about frequency and presence penalties.](https://platform.openai.com/docs/api-reference/parameter-details)

#### Frequency Penalty

A number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood of repeating the same line verbatim.

[See more information about frequency and presence penalties.](https://platform.openai.com/docs/api-reference/parameter-details)

#### Max Tokens

The maximum number of [tokens](https://platform.openai.com/tokenizer) to generate in the chat completion.

The model's context length limits the total length of input tokens and generated tokens.

#### Stop Words

Up to 4 sequences of comma-separated text where the API will stop generating further tokens.

## Outputs

#### Language Model

An instance of the Open AI Text Completion model with the specified parameters.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.anyassistant.ai/anyassistant-builder/nodes/model/openai-text.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.