
llama_deploy
Deploy your agentic worfklows to production
Stars: 1974

llama_deploy is an async-first framework for deploying, scaling, and productionizing agentic multi-service systems based on workflows from llama_index. It allows building workflows in llama_index and deploying them seamlessly with minimal changes to code. The system includes services endlessly processing tasks, a control plane managing state and services, an orchestrator deciding task handling, and fault tolerance mechanisms. It is designed for high-concurrency scenarios, enabling real-time and high-throughput applications.
README:
LlamaDeploy (formerly llama-agents
) is an async-first framework for deploying, scaling, and productionizing agentic
multi-service systems based on workflows from llama_index
.
With LlamaDeploy, you can build any number of workflows in llama_index
and then run them as services, accessible
through a HTTP API by a user interface or other services part of your system.
The goal of LlamaDeploy is to easily transition something that you built in a notebook to something running on the cloud with the minimum amount of changes to the original code, possibly zero. In order to make this transition a pleasant one, you can interact with LlamaDeploy in two ways:
- Using the
llamactl
CLI from a shell. - Through the LlamaDeploy SDK from a Python application or script.
Both the SDK and the CLI are part of the LlamaDeploy Python package. To install, just run:
pip install llama_deploy
[!TIP] For a comprehensive guide to LlamaDeploy's architecture and detailed descriptions of its components, visit our official documentation.
-
Seamless Deployment: It bridges the gap between development and production, allowing you to deploy
llama_index
workflows with minimal changes to your code. - Scalability: The microservices architecture enables easy scaling of individual components as your system grows.
- Flexibility: By using a hub-and-spoke architecture, you can easily swap out components (like message queues) or add new services without disrupting the entire system.
- Fault Tolerance: With built-in retry mechanisms and failure handling, LlamaDeploy adds robustness in production environments.
- State Management: The control plane manages state across services, simplifying complex multi-step processes.
- Async-First: Designed for high-concurrency scenarios, making it suitable for real-time and high-throughput applications.
[!NOTE] This project was initially released under the name
llama-agents
, but the introduction of Workflows inllama_index
turned out to be the most intuitive way for our users to develop agentic applications. We then decided to add new agentic features inllama_index
directly, and focus LlamaDeploy on closing the gap between local development and remote execution of agents as services.
The fastest way to start using LlamaDeploy is playing with a practical example. This repository contains a few applications you can use as a reference:
We recommend to start from the Quick start example and move to Use a deployment from a web-based user interface immediately after. Each folder contains a README file that will guide you through the process.
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