Boundary Blog
Learn about the latest updates to Boundary's toolkit
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Structured outputs with Gemini 2.0
How to do tool-calling or function-calling with Gemini 2.0
Aaron VillalpandoRead more
Structured outputs with o3-mini
How to do tool-calling or function-calling with o3-mini
Vaibhav GuptaRead more
BAML Launch Week Day 5
Roadmap to BAML 1.0
Vaibhav GuptaRead more
BAML Launch Week Day 4
Semantic Streaming
Greg HaleRead more
BAML Launch Week Day 3
Type System
Antonio SarosiRead more
BAML Launch Week Day 2
BAML Chat
Sam LijinRead more
BAML Launch Week Day 1
VS Code LLM Playground 2.0
Aaron VillalpandoRead more
AI Agents Need a New Syntax
A proposal for a new way to build AI applications and agents
Vaibhav GuptaRead more
BAML Launch Week Announcement
Join us on January 27-31
Vaibhav GuptaRead more
Structured outputs with Deepseek R1
How to do tool-calling or function-calling with Deepseek R1
Vaibhav GuptaRead more
Structured outputs with Open AI O1
How to use Open AI O1 to do function calling or tool calls
Vaibhav GuptaRead more
Cursor support for BAML
BAML is now supported in Cursor
Sam LijinRead more
A new trick for generating code in JSON
BAML now supports parsing triple-backtick code blocks in LLM outputs
Sam LijinRead more
Announcing LLM Eval Support for Python, Ruby, Typescript, Go, and more.
Use BAML to evaluate your LLM applications regardless of the language you use to call them
Greg HaleRead more
Generating Structured Output from a Dynamic JSON schema
Modify LLM response models at runtime.
Aaron VillalpandoRead more
Every Way To Get Structured Output From LLMs
A survey of every framework for extracting structured output from LLMs, and how they compare.
Sam LijinRead more
Semantic Streaming vs Token-based Streaming
A new technique for streaming structured output from LLMs
Aaron VillalpandoRead more
Bringing Structured Outputs and Schema-Aligned Parsing to Golang, Java, PHP, Ruby, Rust, and More
BAML now integrates with OpenAPI, allowing you to call BAML functions from any language.
Sam LijinRead more
Structured Output with Ollama
Getting structured output out of Ollama, using novel parsing techniques.
Sam LijinRead more
Beating OpenAI's structured outputs on cost, accuracy and speed — An interactive deep-dive
We leveraged a novel technique, schema-aligned parsing, to achieve SOTA on BFCL with every LLM.
Vaibhav GuptaRead more
Prompting vs JSON Mode vs Function Calling vs Constrained Generation vs SAP
A technical explanation of every way to extract structed data from an LLM
Vaibhav GuptaRead more
Transparency as a Tenet
Exposing the inner workings of BAML
Anish PalakurthiRead more
Building a New Programming Language in 2024, pt. 1
An overview of the work that goes into building a new programming language.
Sam LijinRead more
Use Audio with your LLMs!
Capturing Non-Text Information and Richer Context with LLMs
Anish PalakurthiRead more
Announcing Gemini Support!
Applying structure to Gemini output with BAML
Anish PalakurthiRead more
Building RAG in Ruby, using BAML, with streaming!
How to do RAG with Ruby streaming AI APIs
Sam LijinRead more
Build RAG with citations in NextJS (with streaming!)
How to do RAG with NextJS streaming AI APIs
Aaron VillalpandoRead more
Your prompts are using 4x more tokens than you need
A deep-dive into how to use type-definitions instead of json schemas in prompt engineering to improve accuracy and reduce costs
Aaron VillalpandoRead more
Announcing BAML - The typesafe interface to LLMs, with built-in testing, guardrails and observability
BAML is a lightweight programming language to help perform structured prompting in a typesafe way.
Vaibhav GuptaRead more