BoundaryML/baml
baml
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
Builder
BoundaryML
BoundaryML • individual
Stars
7,893
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Forks
404
Using upstream fork count
Open Issues
0
Activity Score
0/100
45 commits in 30d
Created
Oct 6, 2023
Project creation date
README Summary
BAML is an AI framework designed to add engineering discipline to prompt engineering by providing structured tooling and multi-language support. It enables developers to build reliable AI applications with proper engineering practices across Python, TypeScript, Ruby, Java, C#, Rust, and Go. The framework focuses on making prompt engineering more systematic and maintainable for production use.
AI Dev Skills
Unmapped
Prompt EngineeringLLM Output ValidationType-Safe Language Model IntegrationMulti-language Code GenerationStructured Output ParsingError Handling for LLM ApplicationsLLM Integration and OrchestrationPrompt Engineering Best PracticesType System Design for AI OutputsMulti-language Runtime CompilationLLM Output Validation and ParsingFunction Calling and Tool UseError Handling in AI SystemsCross-platform Code GenerationStructured GenerationPrompt OptimizationLLM Testing and EvaluationLarge Language Model IntegrationStructured Output GenerationType Safety in AIMulti-language Framework DesignParser ImplementationDSL (Domain-Specific Language) DesignTesting and Validation of LLM OutputsError Handling and ResilienceFunction CallingTesting Frameworks for AI SystemsLanguage Model API IntegrationSchema Definition and Validation
Tags
Prompt EngineeringLLM Output ValidationType-Safe Language Model IntegrationMulti-language Code GenerationStructured Output ParsingError Handling for LLM ApplicationsLLM Integration and OrchestrationPrompt Engineering Best PracticesType System Design for AI OutputsMulti-language Runtime CompilationLLM Output Validation and ParsingFunction Calling and Tool UseError Handling in AI SystemsCross-platform Code GenerationStructured GenerationPrompt OptimizationLLM Testing and EvaluationLarge Language Model IntegrationStructured Output GenerationType Safety in AIMulti-language Framework DesignParser ImplementationDSL (Domain-Specific Language) DesignTesting and Validation of LLM OutputsError Handling and ResilienceFunction CallingTesting Frameworks for AI SystemsLanguage Model API IntegrationSchema Definition and Validation
Taxonomy
AI Trends
Deployment Context
Skill Areas
Prompt EngineeringLLM Output ValidationType-Safe Language Model IntegrationMulti-language Code GenerationStructured Output ParsingError Handling for LLM ApplicationsLLM Integration and OrchestrationPrompt Engineering Best PracticesType System Design for AI OutputsMulti-language Runtime CompilationLLM Output Validation and ParsingFunction Calling and Tool UseError Handling in AI SystemsCross-platform Code GenerationStructured GenerationPrompt OptimizationLLM Testing and EvaluationLarge Language Model IntegrationStructured Output GenerationType Safety in AIMulti-language Framework DesignParser ImplementationDSL (Domain-Specific Language) DesignTesting and Validation of LLM OutputsError Handling and ResilienceFunction CallingTesting Frameworks for AI SystemsLanguage Model API IntegrationSchema Definition and Validation
Use Cases
Structured LLM Output ExtractionType-safe AI API DevelopmentMulti-language LLM Application DevelopmentPrompt Management and VersioningLLM Function Calling WorkflowsAI-powered Data ExtractionReducing LLM Output Parsing ErrorsBuilding type-safe LLM applicationsValidating and testing prompt outputsCross-language LLM integrationStructured data extraction from LLM responsesProduction LLM application developmentPrompt testing and debuggingStructured LLM output generationType-safe prompt compositionCross-language AI application developmentLLM function calling with validationPrompt versioning and testingMulti-provider LLM integration
Recent Activity
Updated 15 days ago
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Quality
beta- Quality
- high
- Maturity
- beta
Categories
Dev Tools & AutomationPrimaryRoboticsCoding & Dev ToolsOther AI / MLFoundation ModelsAI AgentsEvals & BenchmarkingNLP & TextML Platform & InfrastructureSafety & Alignment
PM Skills
Developer Platform
Languages
Rust100.0%
Timeline
- Project created
- Oct 6, 2023
- Forked
- Mar 29, 2026
- Your last push
- 15 days ago
- Upstream last push
- 6 days ago
- Tracked since
- Mar 29, 2026
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