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 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. Choose a Tool: Available tools include:

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

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

aichat --role %functions% what is the weather in Paris?
aichat --agent todo list all my todos

Writing Your Own Tools

Building tools for our platform is remarkably straightforward. You can leverage your existing programming knowledge, as tools are essentially just functions written in your preferred language.

LLM Functions automatically generates the JSON declarations for the tools based on comments. Refer to ./tools/demo_tool.{sh,js,py} for examples of how to use comments for autogeneration of declarations.

Bash