RE-GAINS & EnCHANT: Intelligent Tool Manipulation Systems For Enhanced Query Responses

Despite the remarkable success of LLMs, they still suffer from tool invocation and tool chaining due to inadequate input queries and/or tool argument descriptions. We propose two novel frameworks, RE-GAINS and EnCHANT, enabling LLMs to tackle tool manipulation for solving complex user queries by making API calls. EnCHANT is an open-source solution that makes use of an LLM format enforcer, an LLM(OpenChat 3.5) and a retriever(ToolBench's API Retriever). RE-GAINS is based on OpenAI models and embeddings using a special prompt based on the RAP paper. Both solutions cost less than $0.01 per query with minimal latency, therefore showcasing the usefulness of the frameworks.