structured_outputs
Table of Contents
Structured Outputs
LangChain
- Website: https://www.langchain.com/
- Features:
- Offers `.with_structured_output()` method
- PydanticOutputParser
- StructuredOutputParser
Instructor
- Features:
- Built on Pydantic
- Facilitates generating structured output from LLMs
Marvin
- Website: https://www.askmarvin.ai/
- Features:
- Tool for building reliable natural language interfaces
- Supports structured output capabilities
BAML
- Website: https://www.baml.dev/
- Features:
- Domain-specific language for writing and testing LLM functions
Pydantic
- Website: https://docs.pydantic.dev/
- Features:
- Often used with other libraries to define and validate structured output schemas
Magentic
- Features:
- Works with Pydantic to generate complex structured outputs from LLMs
llm-structured-output
- Features:
- Constrains LLM generation to structured output
- Includes function calling and JSON schema enforcement
LlamaIndex
- Website: https://www.llamaindex.ai/
- Features:
- Supports both prompting and function calling for structured output
spacy-llm
- Features:
- Uses prompting for generating structured output
Outlines
- Features:
- Employs constrained token sampling for structured output generation
Guidance
- Features:
- Uses constrained token sampling for structured outputs
structured_outputs.txt · Last modified: 2024/12/08 00:14 by brad
