dynamiq

Dynamiq is an orchestration framework for agentic AI and LLM applications

Welcome to Dynamiq! 🤖

Dynamiq is your all-in-one Gen AI framework, designed to streamline the development of AI-powered applications. Dynamiq specializes in orchestrating retrieval-augmented generation (RAG) and large language model (LLM) agents.

Getting Started

Ready to dive in? Here's how you can get started with Dynamiq:

Installation

First, let's get Dynamiq installed. You'll need Python, so make sure that's set up on your machine. Then run:

pip install dynamiq

Or build the Python package from the source code:

git clone https://github.com/dynamiq-ai/dynamiq.git
cd dynamiq
uv sync

Documentation

For more examples and detailed guides, please refer to our documentation.

Examples

Simple LLM Flow

Here's a simple example to get you started with Dynamiq:

from dynamiq.nodes.llms.openai import OpenAI
from dynamiq.connections import OpenAI as OpenAIConnection
from dynamiq.prompts import Prompt, Message

# Define the prompt template for translation
prompt_template = """
Translate the following text into English: {{ text }}
"""

# Create a Prompt object with the defined template
prompt = Prompt(messages=[Message(content=prompt_template, role="user")])

# Setup your LLM (Large Language Model) Node
llm = OpenAI(
    id="openai",  # Unique identifier for the node
    connection=OpenAIConnection(api_key="OPENAI_API_KEY"),  # Connection using API key
    model="gpt-4o",  # Model to be used
    temperature=0.3,  # Sampling temperature for the model
    max_tokens=1000,  # Maximum number of tokens in the output
    prompt=prompt  # Prompt to be used for the model
)

# Run the LLM node with the input data
result = llm.run(
    input_data={
        "text": "Hola Mundo!"  # Text to be translated
    }
)

# Print the result of the translation
print(result.output)

Simple ReAct Agent with asynchronous execution

An agent that has the access to E2B Code Interpreter and is capable of solving complex coding tasks.

from dynamiq.nodes.llms.openai import OpenAI
from dynamiq.connections import OpenAI as OpenAIConnection, E2B as E2BConnection
from dynamiq.nodes.agents import Agent
from dynamiq.nodes.tools.e2b_sandbox import E2BInterpreterTool

# Initialize the E2B tool
e2b_tool = E2BInterpreterTool(
    connection=E2BConnection(api_key="E2B_API_KEY")
)

# Setup your LLM
llm = OpenAI(
    id="openai",
    connection=OpenAIConnection(api_key="OPENAI_API_KEY"),
    model="gpt-4o",
    temperature=0.3,
    max_tokens=1000,
)

# Create the agent
agent = Agent(
    name="react-agent",
    llm=llm, # Language model instance
    tools=[e2b_tool],  # List of tools that the agent can use
    role="Senior Data Scientist",  # Role of the agent
    max_loops=10