YAICLI: Your AI assistant in command line.

YAICLI is a powerful yet lightweight command-line AI assistant that brings the capabilities of Large Language Models ( LLMs) like GPT-5 directly to your terminal. Interact with AI through multiple modes: have natural conversations, generate and execute shell commands, or get quick answers without leaving your workflow.

Supports both standard and deep reasoning models across all major LLM providers.

[!NOTE] YAICLI is actively developed. While core functionality is stable, some features may evolve in future releases.

We support MCP since v0.7.0!

We support Function Call since v0.5.0!

✨ Key Features

🔄 Multiple Interaction Modes

• 💬 Chat Mode: Engage in persistent conversations with full context tracking
• 🚀 Execute Mode: Generate and safely run OS-specific shell commands
• ⚡ Quick Query: Get instant answers without entering interactive mode

🧠 Smart Environment Awareness

• Auto-detection: Identifies your shell (bash/zsh/PowerShell/CMD) and OS
• Safe Command Execution: Verification before running any command
• Flexible Input: Pipe content directly (cat log.txt | ai "analyze this")

🖼️ Image Input (Vision)

• Local Images: Pass local image files with --image/-i (JPEG, PNG, GIF, WebP)
• URL Images: Pass image URLs directly to vision-capable models
• Multi-Image: Specify --image multiple times for comparison tasks
• 30+ Providers: Automatic format conversion for OpenAI, Anthropic, Gemini, Ollama families

🔌 Universal LLM Compatibility

• OpenAI-Compatible: Works with any OpenAI-compatible API endpoint
• Multi-Provider Support: Support multiple providers

💻 Enhanced Terminal Experience

• Real-time Streaming: See responses as they're generated with cursor animation
• Rich History Management: Manage histories with 500 entries by default
• Syntax Highlighting: Beautiful code formatting with customizable themes

🛠️ Developer-Friendly

• Layered Configuration: Environment variables > Config file > Sensible defaults
• Debugging Tools: Verbose mode with detailed API tracing

📚 Function Calling & MCP

• Function Calling: Enable function/MCP calling in API requests
• Function Output: Show the output of functions/MCP

Full document: https://belingud.github.io/yaicli/

📦 Installation

Prerequisites

• Python 3.10 or higher

Quick Install

# Using pip (recommended for most users)
pip install yaicli

# Using pipx (isolated environment)
pipx install yaicli

# Using uv (faster installation)
uv tool install yaicli

Yaicli has several optional dependencies group, you can copy below commands to install specific dependencies.

# install all denpendencies
pip install 'yaicli[all]'

# install with specific provider support
pip instsall 'yaicli[ollama,cohere,doubao,huggingface,gemini,mistral,anthropic]'

Install by uv.

# install all denpendencies
uv tool install 'yaicli[all]'

# install with specific provider support
uv tool instsall 'yaicli[ollama,cohere,doubao,huggingface,gemini,mistral,anthropic]'

Install from Source

git clone https://github.com/belingud/yaicli.git
cd yaicli
pip install .

Buildin Supported Providers

• AI21
• Anthropic/Claude
• Anthropic Bedrock
• Anthropic Vertex
• Cerebras
• Chatglm
• Chuts
• Cohere
• Cohere Badrock
• Cohere Sagemaker
• Deepseek
• Doubao
• Fireworks
• Gemini
• Groq
• Huggingface
• Longcat
• Longcat Anthropic Format
• Minimax
• Mistral
• ModelScope
• Ollama
• Openai
• Openai Azure
• Sambanova
• Siliconflow
• Spark
• Targon
• Together
• Vertex ai
• X AI
• Yi
• Unlimited OpenAI-compatible providers

⚙️ Configuration

YAICLI uses a simple configuration file to store your preferences and API keys.

First-time Setup

1. Run ai once to generate the default configuration file
2. Edit ~/.config/yaicli/config.ini to add your API key
3. Customize other settings as needed

Configuration File Structure

The default configuration file is located at ~/.config/yaicli/config.ini. You can use ai --template to see default

Configuration Options Reference

Option	Description	Default	Env Variable
PROVIDER	LLM provider (openai, claude, cohere, etc.)	openai	YAI_PROVIDER
BASE_URL	API endpoint URL	-	YAI_BASE_URL
API_KEY	Your API key	-	YAI_API_KEY
MODEL	LLM model to use	gpt-5.2	YAI_MODEL
DEFAULT_ROLE	Default role	DEFAULT	YAI_DEFAULT_ROLE
SHELL_NAME	Shell type	auto	YAI_SHELL_NAME
OS_NAME	Operating system	auto	YAI_OS_NAME
STREAM	Enable streaming	true	YAI_STREAM
TIMEOUT	API timeout (seconds)	60	YAI_TIMEOUT
EXTRA_HEADERS	Extra headers	-	YAI_EXTRA_HEADERS
EXTRA_BODY	Extra body	-	YAI_EXTRA_BODY
REASONING_EFFORT	Reasoning effort	-	YAI_REASONING_EFFORT
INTERACTIVE_ROUND	Interactive mode rounds	25	YAI_INTERACTIVE_ROUND
CODE_THEME	Syntax highlighting theme	monokai	YAI_CODE_THEME
TEMPERATURE	Response randomness	0.7	YAI_TEMPERATURE
FREQUENCY_PENALTY	Repeat pubnish	0.0	YAI_FREQUENCY_PENALTY
TOP_P	Top-p sampling	1.0	YAI_TOP_P
MAX_TOKENS	Max response tokens	1024	YAI_MAX_TOKENS
MAX_HISTORY	Max history entries	500	YAI_MAX_HISTORY
AUTO_SUGGEST	Enable history suggestions	true	YAI_AUTO_SUGGEST
SHOW_REASONING	Enable reasoning display	true	YAI_SHOW_REASONING
JUSTIFY	Text alignment	default	YAI_JUSTIFY
CHAT_HISTORY_DIR	Chat history directory	<tempdir>/yaicli/chats	YAI_CHAT_HISTORY_DIR
MAX_SAVED_CHATS	Max saved chats	20	YAI_MAX_SAVED_CHATS
ROLE_MODIFY_WARNING	Warn user when modifying role	true	YAI_ROLE_MODIFY_WARNING
ENABLE_FUNCTIONS	Enable function calling	true	YAI_ENABLE_FUNCTIONS
SHOW_FUNCTION_OUTPUT	Show function output when calling function	true	YAI_SHOW_FUNCTION_OUTPUT
ENABLE_MCP	Enable MCP tools	false	YAI_ENABLE_MCP
SHOW_MCP_OUTPUT	Show MCP output when calling mcp	true	YAI_SHOW_MCP_OUTPUT
MAX_TOOL_CALL_DEPTH	Max tool calls in one request	8	YAI_MAX_TOOL_CALL_DEPTH

LLM Provider Configuration

YAICLI works with major LLM providers. The default configuration is set up for OpenAI, but you can easily switch to other providers.

Note: blank BASE_URL (or no BASE_URL) means use provider default url.

Pre-configured Provider Settings

Provider	BASE_URL
OpenAI (default)	https://api.openai.com/v1
Claude (native API)	https://api.anthropic.com/v1
Claude (OpenAI-compatible)	https://api.anthropic.com/v1/openai
Cohere	https://api.cohere.com
Gemini	https://generativelanguage.googleapis.com/v1beta/openai

Note: Many providers offer OpenAI-compatible endpoints that work with the default settings.

• Google Gemini: https://ai.google.dev/gemini-api/docs/openai
• Claude: https://docs.anthropic.com/en/api/openai-sdk

If you not sure about base_url or just use the default provider base_url, just leave it blank or delete BASE_URL.

[core]
PROVIDER=cohere
BASE_URL=
API_KEY=xxx
MODEL=command-r-plus

Openai

Yaicli use openai as provider as default provider, gpt-5.2 as default model, you can add your api key to use as it is.

PROVIDER=openai
BASE_URL=
API_KEY=
MODEL=gpt-5.2

Extra params:

# REASONING_EFFORT: [high, midium, low]
REASONING_EFFORT=

See official for more details: https://platform.openai.com/docs/guides/reasoning?api-mode=chat

Openai Azure

PROVIDER=openai-azure
BASE_URL=
API_KEY=
MODEL=gpt-5.2

Support config keys:

AZURE_AD_TOKEN=
AZURE_ENDPOINT=
AZURE_DEPLOYMENT=
API_VERSION=

Support environment variables:

AZURE_OPENAI_API_KEY=
AZURE_OPENAI_AD_TOKEN=
AZURE_OPENAI_ENDPOINT=

If API_KEY not set in config, will look for AZURE_OPENAI_API_KEY environment variable.

If AZURE_AD_TOKEN not set in config, will look for AZURE_OPENAI_AD_TOKEN environment variable.

If BASE_URL and AZURE_ENDPOINT not set in config, will look for AZURE_OPENAI_ENDPOINT environment variable.

Anghropic/Claude

PROVIDER=anthropic
API_KEY=
MODEL=claude-sonnet-4-20250514

If you want to access Anthropic bedrock, you need to set AWS_SECRET_ACCESS_KEY, AWS_ACCESS_KEY_ID, AWS_SESSION_TOKEN and AWS_REGION in config or environment variables.

PROVIDER=anthropic-bedrock
AWS_SECRET_ACCESS_KEY=
AWS_ACCESS_KEY_ID=
AWS_SESSION_TOKEN=
AWS_REGION=
MODEL=anthropic.claude-opus-4-20250514-v1:0

Support ANTHROPIC_BEDROCK_BASE_URL env or BASE_URL in config file, with same effect.

Also support Anthropic vertex with key PROJECT_ID and CLOUD_ML_REGION in config or environment variables.

PROVIDER=anthropic-vertex
PROJECT_ID=
CLOUD_ML_REGION=

You can set anthropic base url by ANTHROPIC_VERTEX_BASE_URL env, or set BASE_URL in config file, same effect.

Deepseek

PROVIDER=deepseek
API_KEY=
MODEL=deepseek-chat

OpenRouter

PROVIDER=openrouter
API_KEY=
MODEL=deepseek/deepseek-chat-v3-0324

Mistral

PROVIDER=mistral
API_KEY=
MODEL=codestral-latest

Gemini

Basic config:

PROVIDER=gemini
API_KEY=
MODEL=gemini-2.5-flash

Extra params:

TOP_K=
PRESENCE_PENALTY=
FREQUENCY_PENALTY=
SEED=
THINKING_BUDGET=
API_VERSION=
BASE_URL=

Vertex AI

PROVIDER=vertexai
MODEL=gemini-2.5-flash
PROJECT=
LOCATION=

Huggingface

Default HF_PROVIDER is auto.

HF_PROVIDER=auto
PROVIDER=huggingface
API_KEY=
MODEL=deepseek-ai/DeepSeek-R1-0528

See official docs for HF_PROVIDER: https://huggingface.co/docs/inference-providers/index

Groq

PROVIDER=groq
API_KEY=
MODEL=llama-3.3-70b-versatile

LongCat

PROVIDER=longcat
API_KEY=
MODEL=LongCat-Flash-Chat
BASE_URL=https://api.longcat.chat/openai

XAI

PROVIDER=xai
API_KEY=
MODEL=grok-3

Minimax

PROVIDER=minimax
API_KEY=
MODEL=MiniMax-M2.1

Extra params:

# Enable/disable interleaved thinking (default: true)
MINIMAX_REASONING_SPLIT=true

MiniMax-M2.1 supports Interleaved Thinking - the model can reason before each tool use. When enabled, reasoning content is preserved in conversation history and displayed alongside responses.

Chatglm

PROVIDER=chatglm
API_KEY=
MODEL=glm-4-plus

Extra params:

Check offcial docs: https://bigmodel.cn/dev/api/normal-model/glm-4

# true or false
DO_SAMPLE=

Chutes

PROVIDER=chutes
API_KEY=
MODEL=deepseek-ai/DeepSeek-V3-0324

Cerebras

PROVIDER=cerebras
API_KEY=
MODEL=llama3.3-70b

AI21

PROVIDER=ai21
API_KEY=
MODEL=jamba-large-1.6

Sambanova

PROVIDER=sambanova
API_KEY=
MODEL=DeepSeek-V3-0324

Only a few models support tool call as below:

• Meta-Llama-3.1-8B-Instruct
• Meta-Llama-3.1-405B-Instruct
• Meta-Llama-3.3-70B-Instruct
• Llama-4-Scout-17B-16E-Instruct
• DeepSeek-V3-0324

See official docs for more detail: https://docs.sambanova.ai/cloud/docs/capabilities/function-calling

ModelScope

PROVIDER=modelscope
API_KEY=
MODEL=deepseek-ai/DeepSeek-V3-0324

Inifiniai

PROVIDER=infiniai
; BASE_URL=https://cloud.infini-ai.com/maas/v1
API_KEY=
MODEL=deepseek-v3

Siliconflow

PROVIDER=siliconflow
API_KEY=
MODEL=Qwen/Qwen3-32B

Yi

PROVIDER=yi
API_KEY=
MODEL=yi-lightning

Cohere

You have to install cohere dependencies, pip install 'yaicli[cohere]'

PROVIDER=cohere
API_KEY=
MODEL=command-a-03-2025

Check official docs: https://docs.cohere.com/docs/text-gen-quickstart

Support keys:

ENVIRONMENT=

For private deploy and Azure api, you need to set BASE_URL.

PROVIDER=cohere
API_KEY=
MODEL=command-a-03-2025
BASE_URL=<YOUR_ENDPOINT>

For Bedrock and Sagemaker cohere api, you have to set below keys:

See https://docs.cohere.com/docs/text-gen-quickstart.

PROVIDER=cohere-bedrock
; PROVIDER=cohere-sagemaker
API_KEY=
MODEL=command-a-03-2025

AWS_REGION=xx
AWS_ACCESS_KEY_ID=xx
AWS_SECRET_ACCESS_KEY=xx
AWS_SESSION_TOKEN=xx

Note MODEL for Sagemaker should be endpoint name

MODEL=<YOUR_ENDPOINT_NAME>

Doubao

You have to install doubao dependencies, pip install 'yaicli[doubao]'

Use doubao OpenAI compatible api, you can just set API_KEY.

PROVIDER=doubao
API_KEY=
MODEL=doubao-1-5-lite-32k-250115

If you are using access key, you have to set AK and SK.

PROVIDER=doubao
MODEL=doubao-1-5-lite-32k-250115
AK=XXX
SK=XXX

Ollama

You have to install ollama dependencies, pip install 'yaicli[ollama]'

PROVIDER=ollama
; BASE_URL=http://localhost:11434
MODEL=qwen3:32b

Support options:

TEMPERATURE=
TOP_P=
SEED=
NUM_PREDICT=
NUM_CTX=
NUM_BATCH=
NUM_GPU=
MAIN_GPU=
LOW_VRAM=
F16_KV=
LOGITS_ALL=
VOCAB_ONLY=
USE_MMAP=
USE_MLOCK=
NUM_THREAD=

NOTE: Ollama provider not support extra body

Bailian

Only support model API call, not support application API call.

PROVIDER=bailian
API_KEY=
MODEL=qwen-plus

Bailian Intl

Bailian international platform.

PROVIDER=bailian-intl
API_KEY=
MODEL=qwen-plus

Nvida nim

PROVIDER=nvida
API_KEY=
MODEL=qwen/qwen3-235b-a22b
EXTRA_BODY={"chat_template_kwargs": {"thinking": false}}

chat_template_kwargs is for Qwen3 and ibm/granite models, you disable thinking as above config.

Together

Using together openai-compatible capabilities

PROVIDER=together
API_KEY=
MODEL=Qwen/Qwen3-235B-A22B-fp8-tput

Spark

PROVIDER=spark
API_KEY=
MODEL=4.0Ultra

Or you can use your APP_ID and API_SECRET.

PROVIDER=spark
APP_ID=
APP_SECRET=
MODEL=4.0Ultra

🚀 Usage

Quick Start

# Get a quick answer
ai "What is the capital of France?"

# Start an interactive chat session
ai --chat

# Generate and execute shell commands
ai --shell "Create a backup of my Documents folder"

# Generate code snippets, default in Python
ai --code "Write a Python function to sort a list"

# Analyze code from a file
cat app.py | ai "Explain what this code does"
# or use @
ai '@Justfile What does this file do'

# Send an image to a vision model
ai --image photo.jpg "What is in this image?"

# Send multiple images
ai -i img1.png -i img2.png "Compare these two screenshots"

# Send an image URL
ai --image https://example.com/photo.jpg "Describe this"

# Debug with verbose mode
ai --verbose "Explain quantum computing"

Interactive Mode Features

Commands /help|? - Show help message /clear - Clear conversation history /his - Show command history /list - List saved chats /save <title> - Save current chat with title /load <index> - Load a saved chat /del <index> - Delete a saved chat /exit - Exit the application /mode chat|exec - Switch modes /add <path> - Add file/dir to context /context|/ctx - Manage context (list, add, remove, clear) Keyboard Shortcuts Shift+Tab - Toggle between Chat/Execute modes Ctrl+C or Ctrl+D - Exit Ctrl+R - Search history ↑/↓ - Navigate through history

Chat Mode (💬) Natural conversations with context Markdown and code formatting Reasoning display for complex queries Execute Mode (🚀) Generate shell commands from descriptions Review commands before execution Edit commands before running Safe execution with confirmation

Chat Persistent

The <PROMPT> parameter in the chat mode will be used as a title to persist the chat content to the file system, with the save directory being a temporary directory, which may vary between machines, and it is determined on the first run.

If the <PROMPT> parameter is not specified when entering chat mode, the session will be treated as a temporary session and will not be persisted. Of course, you can also manually call the /save <title> command to save during the chat. When you run the same chat command again, the previous session will be automatically loaded.

$ ai --chat "meaning of life"

!NOTE: Chat mode is not supported when you redirect input to ai command.

$ cat error.log | ai --chat "Explain this error"

The above command will be parsed as ai "cat error.log | ai "Explain this error".

Start a temporary chat session

$ ai --chat

Start a persistent chat session

$ ai --chat "check disk usage"

Load a saved chat session

$ ai --chat hello
Chat title: hello

 ██    ██  █████  ██  ██████ ██      ██
  ██  ██  ██   ██ ██ ██      ██      ██
   ████   ███████ ██ ██      ██      ██
    ██    ██   ██ ██ ██      ██      ██
    ██    ██   ██ ██  ██████ ███████ ██

Welcome to YAICLI!
Current: Persistent Session: hello
Press Shift+Tab to switch mode
/clear             : Clear chat history
/his               : Show chat history
/list              : List saved chats
/save <title>      : Save current chat
/load <index>      : Load a saved chat
/del <index>       : Delete a saved chat
/exit|Ctrl+D|Ctrl+C: Exit
/mode chat|exec    : Switch mode (Case insensitive)
───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 💬 > /his
Chat History:
1 User: hi
    Assistant:
    Hello! How can I assist you today?
───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 💬 >

Image Input

Send images to vision-capable models (GPT-5.2, Claude 4.5, Gemini, Llama 4 Vision, etc.) directly from the CLI.

Local image file

ai --image photo.jpg "What is in this image?"

Multiple images

ai -i screenshot1.png -i screenshot2.png "Compare these two UIs"

Image URL

ai --image https://example.com/diagram.png "Explain this architecture diagram"

Image without text prompt

ai --image photo.jpg

Supported formats: JPEG (.jpg, .jpeg), PNG (.png), GIF (.gif), WebP (.webp).

Note: Image input is currently supported in single-shot mode only, not in interactive --chat mode. Providers without vision support (Cohere, HuggingFace, ChatGLM, ModelScope) will receive a warning and the images will be stripped.

Input Methods

Direct Input

ai "What is the capital of France?"

Piped Input

echo "What is the capital of France?" | ai

File Analysis

cat demo.py | ai "Explain this code"

Combined Input

cat error.log | ai "Why am I getting these errors in my Python app?"

File Context

YAICLI supports adding files and directories to the conversation context for better understanding of your codebase.

Temporary @ References

Use @ to reference files in your query:

# Reference a single file
ai '@README.md What is this project about?'

# Reference multiple files
ai '@src/main.py @config.yaml Explain the architecture'

# Use quotes for paths with spaces
ai @"my document.txt" Summarize this

Persistent Context

Add files/directories to context for the entire session:

ai --chat
💬 > /add src/
💬 > /context list
# Shows all files in context

💬 > Explain the codebase structure
# AI can now see all files in src/

💬 > /context remove src/
💬 > /context clear
# Remove or clear context

Features

• Auto-completion: Type @ and press Tab to browse files
• Smart ignores: Automatically skips .git, node_modules, __pycache__, etc.
• Directory support: Add entire directories (2-level depth by default)
• Path flexibility: Use relative or absolute paths

📱 Examples

Quick Answer Mode

$ ai "What is the capital of France?"
Assistant:
The capital of France is Paris.

Command Generation & Execution

$ ai -s 'Check the current directory size'
Assistant:
du -sh .
╭─ Command ─╮
│ du -sh .  │
╰───────────╯
Execute command? [e]dit, [y]es, [n]o (n): e
Edit command, press enter to execute:
du -sh ./
Output:
109M    ./

Code Generation

In code mode, select the language for code generation. If none is specified, Python is the default.

The --code mode outputs plain text, making it easy to copy, paste, or redirect to a file, especially when using the standard model.

When using a deep reasoning model, the thinking content is displayed with syntax highlighting. To disable this, use the --no-show-reasoning option or set SHOW_REASONING to false in the configuration.

$ ai --code 'Write a fib generator'
def fib_generator():
    a, b = 0, 1
    while True:
        yield a
        a, b = b, a + b

Chat Mode Example

$ ai --chat
Starting a temporary chat session (will not be saved automatically)

 ██    ██  █████  ██  ██████ ██      ██
  ██  ██  ██   ██ ██ ██      ██      ██
   ████   ███████ ██ ██      ██      ██
    ██    ██   ██ ██ ██      ██      ██
    ██    ██   ██ ██  ██████ ███████ ██

Welcome to YAICLI!
Current: Temporary Session (use /save to make persistent)
Press Shift+Tab to switch mode
/clear             : Clear chat history
/his               : Show chat history
/list              : List saved chats
/save <title>      : Save current chat
/load <index>      : Load a saved chat
/del <index>       : Delete a saved chat
!<command>         : Execute shell command directly (e.g., !ls -al)
/exit|Ctrl+D|Ctrl+C: Exit
/mode chat|exec    : Switch mode (Case insensitive)
───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
 💬 > Tell me about the solar system

Assistant:
Solar System Overview

 • Central Star: The Sun (99% of system mass, nuclear fusion).
 • Planets: 8 total.
    • Terrestrial (rocky): Mercury, Venus, Earth, Mars.
    • Gas Giants: Jupiter, Saturn.
    • Ice Giants: Uranus, Neptune.
 • Moons: Over 200 (e.g., Earth: 1, Jupiter: 95).
 • Smaller Bodies:
    • Asteroids (between Mars/Venus), comets ( icy, distant), * dwarf planets* (Pluto, Ceres).
 • Oort Cloud: spherical shell of icy objects ~1–100,000天文單位 (AU) from Sun).
 • Heliosphere: Solar wind boundary protecting Earth from cosmic radiation.

Key Fact: Earth is the only confirmed habitable planet.

🚀 > Check the current directory size
Assistant:
du -sh .
╭─ Suggest Command ─╮
│ du -sh .          │
╰───────────────────╯
Execute command? [e]dit, [y]es, [n]o (n): e
Edit command: du -sh ./
--- Executing ---
 55M    ./
--- Finished ---
🚀 >

Execute Mode Example

$ ai --shell "Find all PDF files in my Downloads folder"
Assistant:
find ~/Downloads -type f -name "*.pdf"
╭─ Suggest Command ───────────────────────╮
│ find ~/Downloads -type f -iname "*.pdf" │
╰─────────────────────────────────────────╯
Execute command? [e]dit, [y]es, [n]o (n): y
Output:

/Users/username/Downloads/document1.pdf
/Users/username/Downloads/report.pdf
...

Code Mode Example

$ ai --code "write a fib generator" --model deepseek-r1

Function Call

To use function call, you need to install default functions by ai --install-functions. After that, you can check the functions by ai --list-functions. You can also define your own functions by adding them to the config folder in ~/.config/yaicli/functions/ (C:\Users\<user>\.config\yaicli\functions on Windows).

❯ ai --list-functions
/Users/xxx/.config/yaicli/functions/fs_file_operations.py
/Users/xxx/.config/yaicli/functions/fs_list_directory.py
/Users/xxx/.config/yaicli/functions/fs_read_file.py
/Users/xxx/.config/yaicli/functions/fs_write_file.py
/Users/xxx/.config/yaicli/functions/fs_search_files.py
/Users/xxx/.config/yaicli/functions/fetch_webpage.py
/Users/xxx/.config/yaicli/functions/get_weather.py
/Users/xxx/.config/yaicli/functions/fs_edit_file.py
/Users/xxx/.config/yaicli/functions/fs_get_filesystem_info.py
/Users/xxx/.config/yaicli/functions/web_search.py
/Users/xxx/.config/yaicli/functions/fs_read_image.py
/Users/xxx/.config/yaicli/functions/execute_shell_command.py

--enable-functions option is corresponds to the configuration key ENABLE_FUNCTIONS.

ai 'check the current dir total size' --enable-functions
Assistant:
Thinking:

▌ Okay, the user wants to check the current directory's total size. Hmm, how do I do that in macOS with zsh?
▌ I remember that the command to get disk usage is usually 'du'. But wait, the default 'du' might not give the total size of the
▌ current directory directly. Let me think. Oh right, if I use 'du -sh' with the current directory, that should give the total size
▌ in human-readable format.
▌ Wait, but sometimes the -s option summarizes the directory. So 'du -sh .' would calculate the total size of the current directory
▌ and its subdirectories. That should work. Let me confirm the syntax. Yeah, 'du -sh .' is the right command here.
▌ The user is using zsh, but the 'du' command is standard, so it should be available. I need to execute this shell command. The
▌ function provided is execute_shell_command, so I'll call that with the shell command 'du -sh .' as the argument.
▌ I should make sure the parameters are correctly formatted. The function requires a shell_command string. Alright, that's all.
▌ Let's generate the tool call.

{"index":0,"finish_reason":"tool_calls","delta":{"role":"assistant","content":null,"audio":null,"tool_calls":[{"id":"call_202505141526
36cc3f776ae8f14b56_0","index":0,"type":"function","function":{"name":"execute_shell_command","arguments":"{"shell_command": "du -sh
."}","outputs":null},"code_interpreter":null,"retrieval":null,"drawing_tool":null,"web_browser":null,"search_intent":null,"search_resu
lt":null}],"tool_call_id":null,"attachments":null,"metadata":null}}
@Function call: execute_shell_command({"shell_command": "du -sh ."})
╭─ Function output ─────╮
│ Exit code: 0, Output: │
│ 156M    .             │
│                       │
╰───────────────────────╯
Thinking:

▌ Okay, the user asked to check the current directory's total size. I used the 'du -sh .' command, which stands for disk usage,
▌ summarize, and current directory. The output was "156M". So I need to present this in a concise way.
▌ First, confirm the command was executed. Then, report the result clearly. Since the user didn't ask for extra details, keep it
▌ simple. Just state the total size as 156MB. Maybe mention the command used for transparency. Alright, that should cover it without
▌ overcomplicating.

Current directory size: 156M (using du -sh .).

MCP

Add your MCP config in ~/.config/yaicli/mcp.json (C:\Users\<user>\.config\yaicli\mcp.json on Windows.).

--enable-mcp option is corresponds to the configuration key ENABLE_MCP.

Example:

ai 'What is the latest exchange rate between the BTC and the US dollar?' --enable-mcp --show-mcp-output

Assistant:

@Mcp call: bing_search({"query": "latest exchange rate between BTC and US dollar"})
╭─ Mcp output ──────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ [                                                                                                                         │
│   {                                                                                                                       │
│     "id": "result_1751024997243_0",                                                                                       │
│     "title": "BTC to USD - Bitcoin to US Dollar Conversion - Exchange Rates",                                             │
│     "link": "https://www.exchange-rates.org/converter/btc-usd",                                                           │
│     "snippet": "11 小时之前 · 1 Bitcoin = 107,304 US Dollars as of June 27, 2025 03:00 AM UTC. You can get live exchange  │
│ rates between Bitcoin and US Dollars using exchange-rates.org, which aggregates …"                                        │
│   },                                                                                                                      │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
Here are some current exchange rates for Bitcoin (BTC) to US Dollar (USD):

 1 Exchange-Rates.org:
   ₿1 Bitcoin = 💵107,304 US Dollars (as of June 27, 2025, 03:00 AM UTC).
   Link
 2 BTC.CurrencyRate.Today:
   Live Bitcoin to US Dollars exchange rate.
   Link
 3 Xe.com:
   Latest conversion rate and information about Bitcoin to US Dollars.
   Link
 4 BestExchangeRates.com:
   Current BTC to USD market data, including charts and historic rates.
   Link
 5 Investing.com:
   Bitcoin price analysis and live BTC to USD updates.
   Link

For the most accurate and up-to-date rate, I recommend checking one of these sources directly.

💻 Technical Details

Architecture

YAICLI is designed with a modular architecture that separates concerns and makes the codebase maintainable:

• CLI Module: Handles user interaction and command parsing
• API Client: Manages communication with LLM providers
• Config Manager: Handles layered configuration
• History Manager: Maintains conversation history with LRU functionality
• Printer: Formats and displays responses with rich formatting

Dependencies

Library	Purpose
Typer	Command-line interface with type hints
Rich	Terminal formatting and beautiful display
prompt_toolkit	Interactive input with history and auto-completion
json-repair	Repair llm function call arguments

👨‍💻 Contributing

Contributions are welcome! Here's how you can help:

• Bug Reports: Open an issue describing the bug and how to reproduce it
• Feature Requests: Suggest new features or improvements
• Code Contributions: Submit a PR with your changes
• Documentation: Help improve or translate the documentation

📃 License

Apache License 2.0

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YAICLI - Your AI Command Line Interface