# 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.


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# Agent Instructions: 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://kidjig.gitbook.io/kidjig-docs/api-provider/text-models-llm.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.