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Average Ratings 0 Ratings

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ease
features
design
support

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Description

DeepSeek Harness is a versatile open-source framework crafted to ensure that AI agents can effectively operate in dynamic real-world situations by enhancing their understanding of context, tool utilization, and the ability to manage intricate tasks. Utilizing the Cordis plugin architecture, it allows for the selection, modification, and reconfiguration of various capabilities without necessitating any alterations to the underlying source code. Each plugin contributes essential features, such as models, tools, skills, and session management, while Cordis oversees the integration of plugins, along with their dependencies, services, and event handling. A comprehensive session log, which is append-only, captures each run's details, documenting system prompts, reasoning processes, tool interactions, results, scheduling of subagents, and context adjustments. Developers can analyze these logs through the Trajectory view, which organizes records by their source, and they have the ability to utilize functions like resume, fork, search, and replay that interact seamlessly with the same event stream. This structured approach not only aids in troubleshooting but also enhances the overall efficiency of AI development and deployment.

Description

This plugin generates detailed coverage reports that offer more functionality compared to merely using coverage run. It includes support for subprocess execution, allowing you to fork or run tasks in a subprocess while still obtaining coverage seamlessly. Additionally, it integrates with xdist, enabling the use of all pytest-xdist features without sacrificing coverage reporting. The plugin maintains consistent behavior with pytest, ensuring that all functionalities provided by the coverage package are accessible either via pytest-cov's command line options or through coverage's configuration file. In rare cases, a stray .pth file might remain in the site packages after execution. To guarantee that each test run starts with clean data, the data file is cleared at the start of testing. If you wish to merge coverage results from multiple test runs, you can utilize the --cov-append option to add this data to that of previous runs. Furthermore, the data file is retained at the conclusion of testing, allowing users to leverage standard coverage tools for further analysis of the results. This additional functionality enhances the overall user experience by providing better management of coverage data throughout the testing process.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Codecov
Coverage.py
DeepSeek
DeepSeek-V4-Flash
DeepSeek-V4-Pro
HTML
Python
XML
pytest

Integrations

Codecov
Coverage.py
DeepSeek
DeepSeek-V4-Flash
DeepSeek-V4-Pro
HTML
Python
XML
pytest

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DeepSeek

Founded

2023

Country

China

Website

deepseek.com/harness/en/

Vendor Details

Company Name

Python

Country

United States

Website

pypi.org/project/pytest-cov/

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Product Features

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