> For the complete documentation index, see [llms.txt](https://kidjig.gitbook.io/kidjig-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://kidjig.gitbook.io/kidjig-docs/api-provider/text-models-llm.md).

# Text Models (LLM)

Overview

The KidJig API provides access to text-based models, specifically Large Language Models (LLMs). These powerful models enable you to interact with AI through natural language, facilitating a range of applications. These models can be applied to various tasks, enabling the creation of diverse applications using our API.

Key Features

* **Natural Language Processing**: Our models excel in understanding and generating human-like text, making interactions seamless and intuitive
* **Versatile Applications**: From customer support to coding assistance, the API can be integrated into various workflows to enhance productivity.
* **Real-time Responses**: Experience quick and accurate responses to your queries, ensuring a smooth user experience.
* **Coding Assistance**: Get help with coding tasks and debugging.
* Perform a security assessment (pentest) on servers for vulnerabilities.
* **Documentation Writing**: Generate documentation for your services effortlessly.
* And much more.

**Use Cases**

With our API, you can leverage LLMs for various tasks, including

* **Chat Interactions**: Engage in natural language conversations for customer support, information retrieval, or casual dialogue.
* **Coding Assistance**: Get help with coding tasks, debugging, and code generation.

**Supported Models**

We currently support the following models:

* **Chat Model**: Designed for conversational interactions, ideal for customer support and engagement.
* **Code Model**: Tailored for coding tasks, providing assistance with code generation and debugging.

#### Explore More

Dive into the specific sections of our documentation to learn more about each model's capabilities, request and response formats, and best practices for integration.