Baml

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BAML is an AI framework that brings engineering principles to prompt engineering, enabling the creation of reliable AI workflows and agents. It simplifies prompt engineering by focusing on schema engineering, leading to more reliable outputs.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is baml?

BAML is an open-source AI framework designed to add engineering rigor to prompt engineering, transforming it into schema engineering. This approach allows developers to build reliable AI workflows and agents by focusing on the structured models of their prompts, leading to more consistent and predictable outputs. BAML supports multiple languages including Python, TypeScript, Ruby, and Go, and is compatible with various LLM providers like OpenAI, Anthropic, Gemini, and more. It offers features like full type-safety, streaming, retries, and wide model support, even for models without native tool-calling APIs, through its SAP (schema-aligned parsing) algorithm. The framework includes native tooling for VS Code and JetBrains IDEs, providing visual prompt testing and parallel execution for faster iteration. BAML is 100% open-source and private, ensuring no data is used for training or stored beyond explicit model calls.

Best used for

Ideal for developers who need to build reliable AI workflows, create type-safe streaming UIs, and rapidly iterate on prompt designs. Especially valuable for those requiring structured outputs from LLMs across various models and programming languages, ensuring maintainable and testable AI applications.

Common actions

engineer prompts

build AI workflows

manage LLM functions

test prompts

integrate LLMs

automated workflowdeepfakelow-code/no-codecollaborationworkflowsopen-sourceface swapping"AI Agents"github copilot

Capabilities

Key features

Schema-aligned parsing
Type-safe streaming
Multi-language support
IDE tooling
Model rotation
Retry policies

Target Audience

developer

Integrations

openaianthropicgoogle-geminiazure-openai

Pricing & Plans

Open Source

Free

FAQs

What programming languages does BAML support?

BAML supports a wide range of programming languages, including Python, TypeScript, Ruby, and Go. Its Rust compiler generates a "baml_client" to access and call LLM functions from your chosen language, making it highly versatile for different development environments.

How does BAML ensure reliable structured outputs from LLMs?

BAML uses its proprietary SAP (schema-aligned parsing) algorithm to ensure reliable structured outputs, even with models that don't natively support tool-calling APIs. This allows for flexible output parsing, handling markdown within JSON or chain-of-thought prior to answering, ensuring consistency across models.

Does BAML offer tooling for faster prompt iteration?

Yes, BAML provides native tooling for VS Code and JetBrains IDEs, allowing developers to visualize prompts, API requests, and run tests in parallel. This significantly speeds up the iteration process, enabling quicker testing and refinement of AI pipelines and prompt designs.

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Subcategories trending in Coding & Development

Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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