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## Description This PR adds support for [lm-format-enforcer](https://github.com/noamgat/lm-format-enforcer) to LangChain.  The library is similar to jsonformer / RELLM which are supported in Langchain, but has several advantages such as - Batching and Beam search support - More complete JSON Schema support - LLM has control over whitespace, improving quality - Better runtime performance due to only calling the LLM's generate() function once per generate() call. The integration is loosely based on the jsonformer integration in terms of project structure. ## Dependencies No compile-time dependency was added, but if `lm-format-enforcer` is not installed, a runtime error will occur if it is trying to be used. ## Tests Due to the integration modifying the internal parameters of the underlying huggingface transformer LLM, it is not possible to test without building a real LM, which requires internet access. So, similar to the jsonformer and RELLM integrations, the testing is via the notebook. ## Twitter Handle [@noamgat](https://twitter.com/noamgat) Looking forward to hearing feedback! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
9 lines
379 B
Python
9 lines
379 B
Python
"""Experimental LLM wrappers."""
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from langchain_experimental.llms.jsonformer_decoder import JsonFormer
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from langchain_experimental.llms.llamaapi import ChatLlamaAPI
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from langchain_experimental.llms.lmformatenforcer_decoder import LMFormatEnforcer
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from langchain_experimental.llms.rellm_decoder import RELLM
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__all__ = ["RELLM", "JsonFormer", "ChatLlamaAPI", "LMFormatEnforcer"]
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