Show HN: Erlangchain – A tiny Erlang client for LLMs (github.com)

Erlangchain, a newly launched minimal client for interacting with large language models (LLMs), has been introduced, enabling developers to communicate with APIs from OpenAI and Anthropic using Erlang. This client is significant for the AI/ML community as it allows Erlang users to leverage sophisticated AI capabilities without relying on third-party dependencies, improving accessibility to advanced tools and enhancing interoperability within Erlang-based applications. Key technical features include support for dynamic messaging using a simple chat interface, tool utilization capabilities, and a dependency-free JSON encoder/decoder. Users can easily configure their API keys and execute LLM calls with minimal setup, such as defining parameters for message roles and content types. The straightforward construction of messages and responses streamlines the integration process, marking a vital step forward in making machine learning functionalities more broadly available to developers working in the Erlang environment. This contribution could encourage the growth of AI applications within Erlang-based systems, fostering innovation in the field.