PySpur

Improve your agents 10x faster

Freemium

Description

PySpur is an open-source tool designed to help AI engineers significantly accelerate the development and improvement of AI agents. It addresses common challenges in AI development, such as the extensive time spent on prompt tweaking, the lack of visibility into workflow interactions leading to hidden failures, and the difficulties associated with terminal-based testing and manual JSON parsing. PySpur aims to streamline this entire process by providing a dedicated and efficient environment for agent development.

The platform offers a structured approach to agent creation, starting with defining test cases, then building agentic workflows using either Python code or an intuitive drag-and-drop interface. Subsequently, users can iterate by running tests to identify and fix failures quickly. Once agents are deemed reliable, they can be deployed to the cloud or on-premise. PySpur emphasizes ease of use with quick installation, straightforward custom tool integration, and simple agent sharing and version control through JSON export, ultimately allowing engineers to focus on innovation rather than repetitive tasks.

Key Features

Test Case Definition: Define specific test cases for the AI agent to execute and validate.
Agentic Workflow Building: Construct agent behaviors using Python code or a visual drag-and-drop UI.
Iterative Development Cycle: Rapidly run tests, identify failures, and apply fixes to improve agent performance.
Flexible Deployment Options: Deploy developed AI agents to cloud-based services or on-premise infrastructure.
Quick Installation: Set up PySpur within seconds using a simple pip install command.
Easy Custom Tool Integration: Add new functionalities and tools by creating a single Python file.
Shareable & Version-Controlled Agents: Export agents as JSON files for easy team collaboration and git-based version control.
Open-Source: Apache 2.0 licensed, allowing for community contributions and transparency.
SDKs for Integration (Coming Soon): Python and TypeScript SDKs will be available to integrate PySpur with existing codebases and tools.

Use Cases

Accelerating AI agent development cycles.
Improving the reliability and robustness of AI agents.
Streamlining the testing and debugging process for AI agents.
Building complex, multi-step AI agentic workflows.
Facilitating team collaboration on AI agent projects.

Frequently Asked Questions

Why should AI Engineers use PySpur?

PySpur is specifically built for AI Engineers, offering features like quick installation, easy custom tool integration, and simple agent sharing and version control. It aims to help improve agents significantly faster by streamlining the development process and addressing common pain points like prompt tweaking and workflow blindspots.

How is PySpur installed?

PySpur can be installed in seconds using pip with the command `pip install pyspur`. After installation, you can initialize a new project using `pyspur init my-project` and serve it, for example, with `pyspur serve --sqlite`.

Can I integrate my own custom tools with PySpur?

Yes, PySpur allows for easy addition of new tools. This is done by creating a single Python file that defines your custom tool's class, name, configuration model, and its execution logic.

How does PySpur support collaboration and version control for AI agents?

Every agent created in PySpur can be exported as a JSON file. These files can be easily shared with team members and committed to version control systems like Git, enabling effective collaboration and history tracking.

What is the licensing model for PySpur?

PySpur is an open-source project, licensed under the Apache 2.0 license. Its source code is available on GitHub.