Incremental JSON parser for streaming LLM tool calls in Ruby

Overview

Incremental JSON parser for streaming LLM tool calls in Ruby is a specialized library designed to safely consume partial, streaming responses from large language models and turn them into valid Ruby data structures in real time. Instead of waiting for the full JSON payload to arrive, it incrementally parses the character stream, reconstructing tool call arguments and function payloads as soon as they become syntactically complete. This makes it ideal for integrating with providers like OpenAI, Anthropic, or any SSE / chunked HTTP API that returns JSON tool calls over time. The parser focuses on correctness, resilience to incomplete data, and simple integration with existing Ruby code. It helps you avoid brittle string concatenation, ad‑hoc buffering, and fragile regular expressions by providing a dedicated, streaming-safe JSON parsing layer. Developers can subscribe to events or callbacks when objects or arrays are fully parsed, allowing them to trigger downstream business logic, UI updates, or database operations immediately. Built for production teams that care about observability and robustness, it offers clear error handling when malformed or truncated JSON appears in the stream, and makes it easy to log or recover gracefully. Whether you are building chat agents, background workers, or real-time dashboards, this incremental JSON parser gives Ruby developers a reliable foundation for modern, streaming AI applications.