Boundary AI

Boundary AI is a comprehensive toolkit designed primarily for AI engineers. The toolkit facilitates various tasks such as building, testing, observing, and improving AI applications. It includes a unique config language called BAML, which is used to enhance the performance of Large Language Models (LLMs). It also provides immediate testing of new prompts in various Integrated Development Environments (IDEs). Another essential feature of Boundary AI is Boundary Studio that enables monitoring and

BAML, standing for 'Basically, A Made-up Language', is a unique config language that is part of the Boundary AI toolkit. BAML works by transforming complex prompt templates into typed functions. By eliminating parsing boilerplate and type errors, BAML makes these functions easier to execute and test. Essentially, using an LLM with BAML feels like invoking a normal function. BAML is primarily coded in Rust and supports a broad range of models.

BAML enhances the performance of Large Language Models (LLMs) by converting complex prompt templates into typed functions. These typed functions, free from parsing boilerplate and type errors, are easier to execute and test. This not only facilitates faster LLM outputs but also boosts their accuracy and reliability.

BAML simplifies complex programming tasks with its ability to convert messy and complicated prompt templates into on-point, typed functions. By eradicating parsing boilerplate and type errors, it makes typed functions easier to run and test. This transformation enhances code readability, makes debugging easier, and significantly reduces the room for error.

Boundary AI supports several Integrated Development Environments (IDEs). This feature allows for instantaneous testing of new prompts. Although there isn't specific information about all the IDEs it supports, one of the explicitly mentioned one is the BAML's VSCode Playground UI, giving it efficient testing capabilities.

The BAML's VSCode Playground UI is designed to offer real-time testing of new prompts directly within the IDE, enabling rapid and efficient development cycles. It simplifies the testing process by facilitating direct and immediate adjustments to the LLM functions.

Boundary Studio, an integral part of the Boundary AI toolkit, provides essential features for monitoring and tracking the performance of each LLM function over time. Though the specific attributes aren't explicitly mentioned, its primary function appears to centre around consistently maintaining the efficiency of the LLM functions performance.

BAML is primarily coded in Rust, a high-performance programming language. Using Rust signifies a keen focus on performance, memory safety, and parallelism. It does not, however, mention any secondary languages that might be used in BAML.

BAML supports a wide variety of models. Specific models mentioned include Openai, Anthropic, Gemini, Mistral, plus the option to use your own models. It's also worth noting that there are plans to include non-generative models in the future.

In the deployment process, BAML aids in generating Python or Typescript code from BAML files. These files do not need to be installed on the actual production servers. The user can commit the generated code as they would any other Python or Typescript code, offering a smooth and efficient deployment process.