├── src ├── heyai │ ├── dev.py │ ├── system.py │ └── main.py ├── shared │ ├── util.py │ ├── profiles.py │ ├── history.py │ └── settings.py └── core │ ├── gemini.py │ ├── openai.py │ ├── router.py │ └── chat.py ├── tests ├── __init__.py └── test_unit.py ├── pyproject.toml ├── README.md ├── .gitignore └── poetry.lock /src/heyai/dev.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /tests/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /src/shared/util.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | 4 | def get_data_dir(): 5 | """ 6 | Get the path to the history file 7 | """ 8 | home = os.path.expanduser("~") 9 | dir = os.path.join(home, ".heyai") 10 | if not os.path.exists(dir): 11 | os.makedirs(dir) 12 | return dir 13 | -------------------------------------------------------------------------------- /src/heyai/system.py: -------------------------------------------------------------------------------- 1 | SYSTEM_PROMPT = """ 2 | Always answer in users last request language 3 | 4 | 1. Respond concisely. 5 | 2. If the information is not enough, ask everything you need at once. Don't answer with insufficient information. 6 | 3. Be blunt and straightforward; don't sugarcoat 7 | 4. Dont discuss about safety. 8 | 5. Never mention that you're an AI. 9 | 6. Don’t use disclaimers about expertise or professionalism. 10 | 7. Always try to solve the problem with easy to user way. Until a user requests otherwise 11 | 8. More important details, less creativity and big text 12 | """ 13 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [project] 2 | name = "heyai" 3 | version = "0.1.0" 4 | description = "" 5 | authors = [ 6 | {name = "Ethan Hamilthon",email = "yerbolyerdana@gmail.com"} 7 | ] 8 | readme = "README.md" 9 | requires-python = ">=3.13" 10 | dependencies = [ 11 | "openai (>=1.73.0,<2.0.0)", 12 | "google-genai (>=1.10.0,<2.0.0)", 13 | "rich (>=14.0.0,<15.0.0)", 14 | "pydantic (>=2.11.3,<3.0.0)", 15 | "nanoid (>=2.0.0,<3.0.0)", 16 | ] 17 | 18 | [tool.poetry.scripts] 19 | hey = "heyai.main:main" 20 | 21 | [tool.poetry.group.dev.dependencies] 22 | pytest = "^8.3.5" 23 | 24 | [tool.poetry] 25 | packages = [{include = "heyai", from = "src"}] 26 | 27 | 28 | [build-system] 29 | requires = ["poetry-core>=2.0.0,<3.0.0"] 30 | build-backend = "poetry.core.masonry.api" 31 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # HeyAI - Personal AI Assistant in your terminal 2 | 3 | Wrapper around the [Gemini](https://aistudio.google.com/) API to create a personal AI assistant in your terminal. 4 | You can get free API key from Gemini and use it to get started. 5 | It uses `gemini-2.0-flash` model to generate responses. All responses will be streamed to your terminal. 6 | 7 | ## Install locally 8 | 9 | ```bash 10 | poetry build 11 | pipx install --editable . 12 | ``` 13 | 14 | ## Usage 15 | 16 | 1. Set your Gemini API key as an environment variable: 17 | 18 | ```bash 19 | export HEY_GEMINI_API_KEY=YOUR_API_KEY 20 | ``` 21 | 22 | 2. Start a conversation: 23 | 24 | ```bash 25 | hey what is the capital of France 26 | ``` 27 | 28 | 3. Start a new conversation: 29 | 30 | ```bash 31 | hey --new what is best package manager for Python 32 | ``` 33 | 34 | Enjoy it ✨ 35 | -------------------------------------------------------------------------------- /src/core/gemini.py: -------------------------------------------------------------------------------- 1 | from google import genai 2 | from google.genai.chats import types 3 | 4 | from shared import history 5 | 6 | 7 | class GeminiProvider: 8 | def __init__( 9 | self, 10 | api_key: str, 11 | chat_history: history.ChatHistory, 12 | system_prompt: str, 13 | model: str, 14 | ): 15 | self.api_key = api_key 16 | self.chat_history = chat_history 17 | self.system_prompt = system_prompt 18 | self.model = model 19 | 20 | def simple_chat(self): 21 | client = genai.Client(api_key=self.api_key) 22 | contents = [ 23 | types.Content(role="user", parts=[types.Part(text=m.content)]) 24 | for m in self.chat_history.messages 25 | ] 26 | 27 | response = client.models.generate_content_stream( 28 | model=self.model, 29 | contents=contents, 30 | config=types.GenerateContentConfig(system_instruction=self.system_prompt), 31 | ) 32 | return response 33 | -------------------------------------------------------------------------------- /tests/test_unit.py: -------------------------------------------------------------------------------- 1 | from core.router import AppArgs, router 2 | 3 | 4 | def test_router(): 5 | tests = [ 6 | {"given": ["--new"], "expected": AppArgs(is_new=True), "eq": True}, 7 | { 8 | "given": ["--profile=default"], 9 | "expected": AppArgs(profile="default"), 10 | "eq": True, 11 | }, 12 | { 13 | "given": ["hello", "world"], 14 | "expected": AppArgs(query="hello world"), 15 | "eq": True, 16 | }, 17 | { 18 | "given": ["hello", "world"], 19 | "expected": AppArgs(query="hello"), 20 | "eq": False, 21 | }, 22 | { 23 | "given": ["--new", "--last", "hello"], 24 | "expected": AppArgs(query="hello", is_new=True, last=True), 25 | "eq": True, 26 | }, 27 | ] 28 | 29 | for test in tests: 30 | if test["eq"]: 31 | assert router(test["given"]) == test["expected"] 32 | else: 33 | assert router(test["given"]) != test["expected"] 34 | -------------------------------------------------------------------------------- /src/shared/profiles.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel 2 | import os 3 | import json 4 | 5 | from shared.settings import Settings 6 | from shared.util import get_data_dir 7 | 8 | 9 | class Profile(BaseModel): 10 | provider: str 11 | model: str 12 | api_key: str 13 | 14 | 15 | def get_profiles(settings: Settings): 16 | try: 17 | path = os.path.join(get_data_dir(), f"{settings.profile}.json") 18 | with open(path, "r", encoding="utf-8") as f: 19 | data = json.load(f) 20 | history = Profile(**data) 21 | return history 22 | except FileNotFoundError: 23 | print("No profile found") 24 | return None 25 | except Exception as e: 26 | print(e) 27 | return None 28 | 29 | 30 | def save_profile(profile: Profile, settings: Settings): 31 | try: 32 | path = os.path.join(get_data_dir(), f"{settings.profile}.json") 33 | with open(path, "w", encoding="utf-8") as f: 34 | json.dump(profile.model_dump(), f, indent=4, ensure_ascii=False) 35 | 36 | except Exception as e: 37 | print(e) 38 | -------------------------------------------------------------------------------- /src/shared/history.py: -------------------------------------------------------------------------------- 1 | from pydantic import BaseModel 2 | import json 3 | import os 4 | from shared.util import get_data_dir 5 | 6 | from shared.settings import Settings 7 | 8 | 9 | class ChatMessage(BaseModel): 10 | role: str 11 | content: str 12 | 13 | 14 | class ChatHistory(BaseModel): 15 | messages: list[ChatMessage] 16 | 17 | 18 | def load_history(settings: Settings): 19 | try: 20 | path = os.path.join(get_data_dir(), f"{settings.chat_name}.json") 21 | with open(path, "r", encoding="utf-8") as f: 22 | data = json.load(f) 23 | history = ChatHistory(**data) 24 | return history 25 | except FileNotFoundError: 26 | return ChatHistory(messages=[]) 27 | except Exception as e: 28 | print(e) 29 | return None 30 | 31 | 32 | def save_history(history: ChatHistory, settings: Settings): 33 | try: 34 | path = os.path.join(get_data_dir(), f"{settings.chat_name}.json") 35 | with open(path, "w", encoding="utf-8") as f: 36 | json.dump(history.model_dump(), f, indent=4, ensure_ascii=False) 37 | 38 | except Exception as e: 39 | print(e) 40 | -------------------------------------------------------------------------------- /src/shared/settings.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | from pydantic import BaseModel 4 | 5 | from shared.util import get_data_dir 6 | 7 | 8 | class Settings(BaseModel): 9 | chat_name: str 10 | profile: str 11 | 12 | 13 | def get_settings(): 14 | """ 15 | Get the settings json file 16 | """ 17 | dir = get_data_dir() 18 | path = os.path.join(dir, "settings.json") 19 | try: 20 | with open(path, "r", encoding="utf-8") as f: 21 | data = json.load(f) 22 | history = Settings(**data) 23 | return history 24 | except FileNotFoundError: 25 | return Settings(chat_name="first", profile="default") 26 | except Exception as e: 27 | print(e) 28 | return None 29 | 30 | 31 | def save_settings(settings: Settings): 32 | """ 33 | Save the settings to a JSON file 34 | Args: 35 | settings (Settings): The settings to save 36 | path (str): The path to the JSON file 37 | """ 38 | try: 39 | dir = get_data_dir() 40 | path = os.path.join(dir, "settings.json") 41 | with open(path, "w", encoding="utf-8") as f: 42 | json.dump(settings.model_dump(), f, indent=4, ensure_ascii=False) 43 | except Exception as e: 44 | print(e) 45 | -------------------------------------------------------------------------------- /src/core/openai.py: -------------------------------------------------------------------------------- 1 | from typing import Iterable 2 | from openai.types.chat import ChatCompletionMessageParam 3 | from openai.types.responses import ResponseInputParam 4 | from shared.history import ChatHistory 5 | from openai import OpenAI 6 | 7 | 8 | class OpenaiProvider: 9 | def __init__( 10 | self, 11 | api_key: str, 12 | chat_history: ChatHistory, 13 | system_prompt: str, 14 | model: str, 15 | ): 16 | self.api_key = api_key 17 | self.chat_history = chat_history 18 | self.system_prompt = system_prompt 19 | self.model = model 20 | 21 | def chat(self): 22 | client = OpenAI(api_key=self.api_key) 23 | contents: Iterable[ChatCompletionMessageParam] = [] 24 | contents.append({"role": "developer", "content": self.system_prompt}) 25 | for m in self.chat_history.messages: 26 | if m.role == "user": 27 | contents.append({"role": "user", "content": m.content}) 28 | else: 29 | contents.append({"role": "assistant", "content": m.content}) 30 | 31 | stream = client.chat.completions.create( 32 | model=self.model, 33 | messages=contents, 34 | stream=True, 35 | ) 36 | 37 | return stream 38 | -------------------------------------------------------------------------------- /src/core/router.py: -------------------------------------------------------------------------------- 1 | from dataclasses import dataclass 2 | 3 | 4 | @dataclass 5 | class AppArgs: 6 | is_new: bool 7 | query: str 8 | last: bool 9 | model: str 10 | 11 | def __init__( 12 | self, 13 | is_new: bool = False, 14 | query: str = "", 15 | last: bool = False, 16 | profile: str = "", 17 | ): 18 | self.is_new = is_new 19 | self.query = query 20 | self.last = last 21 | self.profile = profile 22 | 23 | 24 | def router(raw_args: list[str]) -> AppArgs | None: 25 | """ 26 | Route the arguments to the correct function 27 | """ 28 | if len(raw_args) == 0: 29 | return None 30 | args = AppArgs() 31 | is_query_started = False 32 | for arg in raw_args: 33 | if is_query_started: 34 | args.query += f" {arg}" 35 | continue 36 | 37 | if arg.startswith("--profile="): 38 | profile = arg.split("=")[1] 39 | args.profile = profile 40 | continue 41 | 42 | match arg: 43 | case "--new": 44 | args.is_new = True 45 | case "--last": 46 | args.last = True 47 | case _: 48 | args.query = arg 49 | is_query_started = True 50 | 51 | return args 52 | -------------------------------------------------------------------------------- /src/core/chat.py: -------------------------------------------------------------------------------- 1 | from google import genai 2 | from google.genai.chats import types 3 | 4 | from shared import history 5 | 6 | 7 | def read_file_tool(path: str) -> str: 8 | """ 9 | Read a file from a given path. 10 | It can be any path that python can read. Use it to read files from the filesystem. 11 | If user did not specified the path just read it from the current directory 12 | """ 13 | with open(path, "r", encoding="utf-8") as f: 14 | return f.read() 15 | 16 | 17 | class ChatProvider: 18 | def __init__( 19 | self, 20 | api_key: str, 21 | chat_history: history.ChatHistory, 22 | system_prompt: str, 23 | model: str, 24 | ): 25 | self.api_key = api_key 26 | self.chat_history = chat_history 27 | self.system_prompt = system_prompt 28 | self.model = model 29 | 30 | def simple_chat(self): 31 | client = genai.Client(api_key=self.api_key) 32 | contents = [ 33 | types.Content(role="user", parts=[types.Part(text=m.content)]) 34 | for m in self.chat_history.messages 35 | ] 36 | 37 | response = client.models.generate_content_stream( 38 | model=self.model, 39 | contents=contents, 40 | config=types.GenerateContentConfig(system_instruction=self.system_prompt), 41 | ) 42 | return response 43 | -------------------------------------------------------------------------------- /src/heyai/main.py: -------------------------------------------------------------------------------- 1 | import sys 2 | 3 | from rich import box 4 | from rich.console import Console 5 | from rich.markdown import Markdown 6 | from rich.panel import Panel 7 | from rich.live import Live 8 | from nanoid import generate 9 | 10 | from core.chat import ChatProvider 11 | from core.openai import OpenaiProvider 12 | from core.router import router 13 | from heyai.system import SYSTEM_PROMPT 14 | from shared.history import ( 15 | ChatHistory, 16 | ChatMessage, 17 | load_history, 18 | save_history, 19 | ) 20 | from shared.profiles import Profile, get_profiles, save_profile 21 | from shared.settings import Settings, get_settings, save_settings 22 | 23 | 24 | def load_data(): 25 | settings = get_settings() 26 | if not settings: 27 | return None 28 | data = load_history(settings) 29 | if not data: 30 | return None 31 | return settings, data 32 | 33 | 34 | def save_data(history: ChatHistory, settings: Settings, profile: Profile): 35 | save_history(history, settings) 36 | save_profile(profile, settings) 37 | save_settings(settings) 38 | 39 | 40 | def main(): 41 | # load data 42 | res = load_data() 43 | if not res: 44 | print("Some error occurred while loading data") 45 | return 46 | settings, chat_history = res 47 | args = router(sys.argv[1:]) 48 | if not args: 49 | print("Some error occurred while parsing arguments") 50 | return 51 | 52 | if args.profile != "": 53 | settings.profile = args.profile 54 | 55 | profile = get_profiles(settings) 56 | if not profile: 57 | print("No profile found") 58 | return 59 | 60 | if args.is_new: 61 | print("New chat started") 62 | chat_history = ChatHistory(messages=[]) 63 | settings.chat_name = generate() 64 | if args.query == "": 65 | save_data(chat_history, settings, profile) 66 | return 67 | 68 | if args.last: 69 | if len(chat_history.messages) != 0: 70 | md = Markdown(chat_history.messages[-1].content, code_theme="dracula") 71 | panel = Panel(md, padding=(1, 4), box=box.HORIZONTALS) 72 | console = Console() 73 | console.print(panel) 74 | return 75 | 76 | # chat with gemini 77 | chat_history.messages.append(ChatMessage(role="user", content=args.query)) 78 | 79 | buffer = "" 80 | if profile.provider == "gemini": 81 | print("Chatting with gemini") 82 | chat = ChatProvider(profile.api_key, chat_history, SYSTEM_PROMPT, profile.model) 83 | response = chat.simple_chat() 84 | 85 | # print response as markdown 86 | buffer = "" 87 | md = Markdown(buffer, code_theme="dracula") 88 | panel = Panel(md, padding=(1, 4), box=box.HORIZONTALS) 89 | with Live(panel, console=Console(), refresh_per_second=10) as live: 90 | for chunk in response: 91 | buffer += chunk.text or "" 92 | md = Markdown(buffer, code_theme="dracula") 93 | panel = Panel(md, padding=(1, 4), box=box.HORIZONTALS) 94 | live.update(panel) 95 | elif profile.provider == "openai": 96 | chat = OpenaiProvider( 97 | profile.api_key, chat_history, SYSTEM_PROMPT, profile.model 98 | ) 99 | response = chat.chat() 100 | 101 | # print response as markdown 102 | buffer = "" 103 | md = Markdown(buffer, code_theme="dracula") 104 | panel = Panel(md, padding=(1, 4), box=box.HORIZONTALS) 105 | with Live(panel, console=Console(), refresh_per_second=10) as live: 106 | for chunk in response: 107 | if chunk.choices[0].delta.content is not None: 108 | buffer += chunk.choices[0].delta.content or "" 109 | md = Markdown(buffer, code_theme="dracula") 110 | panel = Panel(md, padding=(1, 4), box=box.HORIZONTALS) 111 | live.update(panel) 112 | 113 | # save json history 114 | chat_history.messages.append(ChatMessage(role="assistant", content=buffer)) 115 | save_data(chat_history, settings, profile) 116 | 117 | 118 | if __name__ == "__main__": 119 | main() 120 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # Poetry 7 | poetry.lock 8 | .venv 9 | # Environments 10 | .env 11 | .venv 12 | env/ 13 | venv/ 14 | ENV/ 15 | env.bak/ 16 | venv.bak/ 17 | 18 | # Distributions 19 | dist/ 20 | build/ 21 | *.egg-info/ 22 | *.egg 23 | 24 | # Unit test / coverage reports 25 | htmlcov/ 26 | .tox/ 27 | .coverage 28 | .coverage.* 29 | .cache 30 | nosetests.xml 31 | coverage.xml 32 | *.cover 33 | *.py,cover 34 | .hypothesis/ 35 | .pytest_cache/ 36 | 37 | # Jupyter Notebook 38 | .ipynb_checkpoints/ 39 | 40 | # OS generated files 41 | .DS_Store 42 | Thumbs.db 43 | -------------------------------------------------------------------------------- /poetry.lock: -------------------------------------------------------------------------------- 1 | # 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