LLM Functions

This project empowers you to effortlessly build powerful LLM tools and agents using familiar languages like Bash, JavaScript, and Python.

Forget complex integrations, harness the power of [function calling](https://platform.openai.com/docs/guides/function-calling) to connect your LLMs directly to custom code and unlock a world of possibilities. Execute system commands, process data, interact with APIs – the only limit is your imagination.

Tools Showcase

Agents showcase

Prerequisites

Make sure you have the following tools installed:

• argc: A bash command-line framework and command runner
• jq: A JSON processor

Getting Started with AIChat

Currently, AIChat is the only CLI tool that supports `llm-functions`. We look forward to more tools supporting `llm-functions`.

1. Clone the repository

git clone https://github.com/sigoden/llm-functions
cd llm-functions

2. Build tools and agents

#### I. Create a ./tools.txt file with each tool filename on a new line.

get_current_weather.sh
execute_command.sh
#execute_py_code.py

Where is the web_search tool?

The web_search tool itself doesn't exist directly, Instead, you can choose from a variety of web search tools.

To use one as the web_search tool, follow these steps:

1. 1.Choose a Tool: Available tools include:

• web_search_cohere.sh
• web_search_perplexity.sh
• web_search_tavily.sh
• web_search_vertexai.sh

1. 1.Link Your Choice: Use the argc command to link your chosen tool as web_search. For example, to use web_search_perplexity.sh:

```sh

$ argc link-web-search web_search_perplexity.sh

```

This command creates a symbolic link, making web_search.sh point to your selected web_search_perplexity.sh tool.

Now there is a web_search.sh ready to be added to your ./tools.txt.

#### II. Create a ./agents.txt file with each agent name on a new line.

coder
todo

#### III. Build bin and functions.json

argc build

#### IV. Ensure that everything is ready (environment variables, Node/Python dependencies, mcp-bridge server)

argc check

3. Link LLM-functions and AIChat

AIChat expects LLM-functions to be placed in AIChat's functions_dir so that AIChat can use the tools and agents that LLM-functions provides.

You can symlink this repository directory to AIChat's functions_dir with:

ln -s "$(pwd)" "$(aichat --info | sed -n 's/^functions_dir\s\+//p')"
# OR
argc link-to-aichat

Alternatively, you can tell AIChat where the LLM-functions directory is by using an environment variable:

export AICHAT_FUNCTIONS_DIR="$(pwd)"

4. Start using the functions

Done! Now you can use the tools and agents with AIChat.