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
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8,312
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Forks
423
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0/100
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Created
Oct 6, 2023
Project creation date
README Summary
<div align="center"> <a href="https://boundaryml.com?utm_source=github" target="_blank" rel="noopener noreferrer"> <picture> <source media="(prefers-color-scheme: dark)" srcset="fern/assets/baml-lamb-white.png"> <img src="fern/assets/baml-lamb-white.png" height="64" id="top"> </picture> </a>
Community Evaluation
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Cross-platform Code GenerationDSL (Domain-Specific Language) DesignError Handling and ResilienceError Handling for LLM ApplicationsError Handling in AI SystemsFunction CallingFunction Calling and Tool UseLanguage Model API IntegrationLarge Language Model IntegrationLLM Integration and OrchestrationLLM Output ValidationLLM Output Validation and ParsingLLM Testing and EvaluationMulti-language Code GenerationMulti-language Framework DesignMulti-language Runtime CompilationParser ImplementationPrompt EngineeringPrompt Engineering Best PracticesPrompt OptimizationSchema Definition and ValidationStructured GenerationStructured Output GenerationStructured Output ParsingTesting and Validation of LLM OutputsTesting Frameworks for AI SystemsType-Safe Language Model IntegrationType Safety in AIType System Design for AI Outputs
Tags
Cross-platform Code GenerationDSL (Domain-Specific Language) DesignError Handling and ResilienceError Handling for LLM ApplicationsError Handling in AI SystemsFunction CallingFunction Calling and Tool UseLanguage Model API IntegrationLarge Language Model IntegrationLLM Integration and OrchestrationLLM Output ValidationLLM Output Validation and ParsingLLM Testing and EvaluationMulti-language Code GenerationMulti-language Framework DesignMulti-language Runtime CompilationParser ImplementationPrompt EngineeringPrompt Engineering Best PracticesPrompt OptimizationSchema Definition and ValidationStructured GenerationStructured Output GenerationStructured Output ParsingTesting and Validation of LLM OutputsTesting Frameworks for AI SystemsType-Safe Language Model IntegrationType Safety in AIType System Design for AI OutputsAWS BedrockAnthropic / ClaudeAzure AIDeepSeekForkedGoogle AIGoogle CloudLLM ServingLarge Language ModelsOllamaOpenAIPythonReact / Next.jsReal-Time / StreamingRustTutorialTypeScriptvLLM
Taxonomy
AI Trends
category
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
tag
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 2 months ago
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Quality
beta- Quality
- high
- Maturity
- beta
Categories
Inference & ServingPrimaryDev Tools & AutomationCloud & PlatformsLearning ResourcesFoundation ModelsAI AgentsOther AI / ML
PM Skills
Cost & EfficiencyUser ExperienceScale & Reliability
Languages
Rust100.0%
Timeline
- Project created
- Oct 6, 2023
- Forked
- Mar 29, 2026
- Your last push
- 2 months ago
- Upstream last push
- 18 days ago
- Tracked since
- Mar 29, 2026
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