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What is LangSmith?
In software development, unforeseen results frequently arise, and having complete visibility into the entire call sequence allows developers to accurately identify the sources of errors and anomalies in real-time. By leveraging unit testing, software engineering plays a crucial role in delivering efficient solutions that are ready for production. Tailored specifically for large language model (LLM) applications, LangSmith provides similar functionalities, allowing users to swiftly create test datasets, run their applications, and assess the outcomes without leaving the platform. This tool is designed to deliver vital observability for critical applications with minimal coding requirements. LangSmith aims to empower developers by simplifying the complexities associated with LLMs, and our mission extends beyond merely providing tools; we strive to foster dependable best practices for developers. As you build and deploy LLM applications, you can rely on comprehensive usage statistics that encompass feedback collection, trace filtering, performance measurement, dataset curation, chain efficiency comparisons, AI-assisted evaluations, and adherence to industry-leading practices, all aimed at refining your development workflow. This all-encompassing strategy ensures that developers are fully prepared to tackle the challenges presented by LLM integrations while continuously improving their processes. With LangSmith, you can enhance your development experience and achieve greater success in your projects.
What is Immunity Debugger?
Immunity Debugger offers an intuitive graphical user interface (GUI) complemented by a command line positioned conveniently at the bottom of the display. This command line allows users to enter shortcuts akin to those in traditional text-based debuggers like WinDBG or GDB. To ease the transition for those accustomed to WinDBG, Immunity has implemented aliases, minimizing the need for extensive retraining and allowing users to quickly restore their productivity with a robust debugger interface. Furthermore, users can run Python commands directly within the command bar, significantly broadening the tool’s capabilities. They are also able to revisit previously typed commands or access a list of recent commands through a dropdown menu, which streamlines the debugging process and enhances user experience. Additionally, the availability of shortcuts and aliases makes it easier for developers to adapt, ensuring they can focus on their tasks rather than relearning the system. In summary, the integration of these features firmly establishes Immunity Debugger as an invaluable resource for software developers.
Integrations Supported
AgentForge
Azure Marketplace
LangChain
LangGraph
ZenML
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
LangChain
Company Location
United States
Company Website
www.langchain.com/langsmith
Company Facts
Organization Name
Immunity Debugger
Date Founded
2002
Company Location
United States
Company Website
www.immunityinc.com/products/debugger/
Categories and Features
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing