aigoofusion 0.1.4

`AIGooFusion` is a framework for developing applications by large language models (LLMs)

AIGooFusion

AIGooFusion is a framework for developing applications by large language models (LLMs). AIGooFusion has AIGooChat and AIGooFlow.

• AIGooChat is llm abstraction to use various llm on one module.
• AIGooFlow is llm apps workflow.

How to install

Using pip

pip install aigoofusion

using requirements.txt

• Add into requirements.txt

aigoofusion

• Then install

pip install -r requirements.txt

Example

AIGooChat Example

info="""
Irufano adalah seorang software engineer.
Dia berasal dari Indonesia.
Kamu bisa mengunjungi websitenya di https:://irufano.github.io
""" 

def test_chat():
    # Configuration
    config = OpenAIConfig(
        temperature=0.7
    )

    # Initialize llm
    llm = OpenAIModel(model="gpt-4o-mini", config=config)
    
    SYSTEM_PROMPT = """Answer any user questions based solely on the data below:
    <data>
    {info}
    </data>
    
    DO NOT response outside context."""

    # Initialize framework
    framework = AIGooChat(llm, system_message=SYSTEM_PROMPT, input_variables=["info"])
    
    try:
        # Example conversation with tool use
        messages = [
            Message(role=Role.USER, content="apa ibukota indonesia?")
        ]
        with openai_usage_tracker() as usage:
            response = framework.generate(messages, info=info)
            print(f"\n>> {response.result.content}\n")
            print(f"\nUsage:\n{usage}\n")
        
    except AIGooException as e:
        print(f"{e}")

test_chat()

AIGooFlow Example

async def test_flow():
    # Configuration
    config = OpenAIConfig(
        temperature=0.7
    )

    llm = OpenAIModel("gpt-4o-mini", config)

    # Define a sample tool
    @Tool()
    def get_current_weather(location: str, unit: str = "celsius") -> str:
        return f"The weather in {location} is 22 degrees {unit}"

    @Tool()
    def get_current_time(location: str) -> str:
        # Initialize framework
        aig = AIGooChat(llm, system_message="You are a helpful assistant.")

        # Example conversation with tool use
        time = f"The time in {location} is 09:00 AM"
        msgs = [
            Message(role=Role.USER, content=time),
        ]
        res = aig.generate(msgs)
        return res.result.content or "No data"

    tool_list = [get_current_weather, get_current_time]

    # Initialize framework
    fmk = AIGooChat(llm, system_message="You are a helpful assistant.")

    # Register tool
    fmk.register_tool(tool_list)

    # Register to ToolRegistry
    tl_registry = ToolRegistry(tool_list)

    # Workflow
    workflow = AIGooFlow({
        "messages": [],
    })

    # Define Node functions
    async def main_agent(state: WorkflowState) -> dict:
        messages = state.get("messages", [])
        response = fmk.generate(messages)
        messages.append(response.process[-1])
        return {"messages": messages}

    async def tools(state: WorkflowState) -> dict:
        messages = tools_node(messages=state.get("messages", []), registry=tl_registry)
        return {"messages": messages}

    def should_continue(state: WorkflowState) -> str:
        messages = state.get("messages", [])
        last_message = messages[-1]
        if last_message.tool_calls:
            return "tools"
        return END


    # Add nodes
    workflow.add_node("main_agent", main_agent)
    workflow.add_node("tools", tools)

    # Add edges structure
    workflow.add_edge(START, "main_agent")
    workflow.add_conditional_edge("main_agent", ["tools", END], should_continue)
    workflow.add_edge("tools", "main_agent")

    async def call_sql_agent(question: str):
        try:
            with openai_usage_tracker() as usage:
                res = await workflow.execute({
                    "messages": [
                        Message(role=Role.USER, content=question)
                    ]
                })

            return res, usage
        except Exception as e:
            raise e


    quest="What's the weather like in London and what time is it?"
    res, usage = await call_sql_agent(quest)
    print(f"---\nResponse content:\n")
    print(res['messages'][-1].content)
    print(f"---\nRaw usages:")
    for usg in usage.raw_usages:
        print(f"{usg}")
    print(f"---\nCallback:\n {usage}")

async def run():
	# await test_workflow()
	await test_flow()

asyncio.run(run())

Sample In-memory messages

chat_memory = ChatMemory()

# Workflow
workflow = AIGooFlow({
	"messages": [] ,
})

async def main(state: WorkflowState) -> dict:
	messages = state.get("messages", [])
	responses = ["Hello", "Wowww", "Amazing", "Gokil", "Good game well played", "Selamat pagi", "Maaf aku tidak tahu"]
	random_answer = random.choice(responses)
	ai_message = Message(role=Role.ASSISTANT, content=random_answer)
	messages.append(ai_message)
	return {"messages": messages}


# Add nodes
workflow.add_node("main", main)
workflow.add_edge(START, "main")
workflow.add_edge("main", END)

async def call_workflow(question: str, thread_id: str):
	try:
		message = Message(role=Role.USER, content=question)

		async with chat_memory.intercept(thread_id=thread_id, message=message) as (messages, result_call):
			res = await workflow.execute({
				"messages": messages
			})
			# must call this back 
			result_call['messages'] = res['messages']

		history = chat_memory.get_thread_history(thread_id=thread_id, max_length=None)
		return res, history
	except Exception as e:
		raise e


async def chat_terminal():
	print("Welcome to the Chat Terminal! Type 'exit' to quit.")
	print("Use one digit number on thread id for simplicity testing, i.e: thread_id: 1")

	while True:
		thread_id = input("thread_id: ")
		user_input = input("You: ")

		if user_input.lower() == 'exit':
			print("Chatbot: Goodbye!")
			break

		response, history = await call_workflow(user_input.lower(), thread_id)
		time.sleep(0.5) # Simulate a small delay for realism
		print(f"\nChatbot: {response['messages'][-1].content}\n")
		print(f"History: ")
		for msg in history:
			print(f"\t{msg}")

if __name__ == "__main__":
	asyncio.run(chat_terminal())

Develop as Contributor

Build the container

docker-compose build

Run the container

docker-compose up -d aigoo-fusion

Stop the container

docker-compose stop aigoo-fusion

Access the container shell

docker exec -it aigoo_fusion bash

Run test

python aigoo_fusion/test/test_chat.py 
python aigoo_fusion/test/test_flow.py 

or

python aigoo_fusion.test.test_chat.py 
python aigoo_fusion.test.test_flow.py 

Build package

python setup.py sdist bdist_wheel

Upload package

twine upload dist/*