%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Openlit
Overview :
OpenLIT is an open-source AI engineering platform focused on the observability of generative AI and large language model (LLM) applications. It assists developers in streamlining the AI development process and improving application performance through features such as code transparency, privacy protection, and performance visualization. Being an open-source project, users can freely access the code or self-host it, ensuring data security and privacy. Key advantages include easy integration, support for native OpenTelemetry integration, and detailed usage insights. OpenLIT is targeted at AI developers, data scientists, and enterprises, aiming to help them better build, optimize, and manage their AI applications. While specific pricing is not explicitly stated, the open-source nature suggests that basic functionalities may be available for free.
Target Users :
The primary audience includes AI developers, data scientists, and enterprises. For AI developers, OpenLIT offers tools that streamline the development process and optimize performance. For data scientists, it aids in better understanding and analyzing the behaviors of AI models. For enterprises, OpenLIT enhances the observability and management efficiency of AI applications, ensuring data security and privacy.
Use Cases
An AI development team efficiently manages and version controls a large number of AI prompts using OpenLIT's prompt management feature, enhancing development efficiency.
A data scientist uses the Openground testing feature to compare the performance of different LLMs on specific tasks, providing data support for model selection.
Enterprises utilize OpenLIT's secure key management feature to ensure the safe storage and use of sensitive information such as API keys, protecting their data assets.
Features
Privacy-first: Code transparency, self-hosting support that simplifies the AI development process, especially for generative AI and LLMs.
Visual tracking: Provides application and request tracing, supports OpenTelemetry, automatically tracks AI applications, and monitors response times and costs.
Exception monitoring: Automatically monitors exceptions through Python and TypeScript SDK, providing detailed stack trace information integrated with tracing data.
Openground testing: Tests and compares different LLM performance, costs, and other key metrics, supporting side-by-side comparisons, cost analysis, and comprehensive reports.
Prompt management: Offers a centralized repository for prompts, supporting prompt creation, editing, version control, and variable replacement.
Secure key management: Provides a secure way to store and manage keys, supporting key creation, editing, monitoring, and environmental integration.
How to Use
1. Visit the OpenLIT official website to learn about the product features and documentation.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
2. Clone the OpenLIT project from GitHub, or use the command `docker-compose up -d` to start the container.
3. Add the `openlit.init()` code in your AI application to start collecting data.
4. Use the SDKs provided by OpenLIT, such as the Python or TypeScript SDK, for exception monitoring and key management.
5. Utilize the Openground testing feature to compare the performance and costs of different LLMs.
6. Manage prompts through the prompt management feature to create, edit, and control versions of AI prompts.
7. View the visual tracking data to analyze application performance and behaviors to optimize your AI application.
Featured AI Tools
Pseudoeditor
PseudoEditor is a free online pseudocode editor. It features syntax highlighting and auto-completion, making it easier for you to write pseudocode. You can also use our pseudocode compiler feature to test your code. No download is required, start using it immediately.
Development & Tools
3.8M
Coze
Coze is a next-generation AI chatbot building platform that enables the rapid creation, debugging, and optimization of AI chatbot applications. Users can quickly build bots without writing code and deploy them across multiple platforms. Coze also offers a rich set of plugins that can extend the capabilities of bots, allowing them to interact with data, turn ideas into bot skills, equip bots with long-term memory, and enable bots to initiate conversations.
Development & Tools
3.8M