Awesome GitHub RepositoriesAsynchronous Batch Processing

Moshi is a real-time voice foundation model and speech-to-speech framework designed for bidirectional, low-latency conversations. It functions as a full-duplex voice interface that processes audio and text concurrently in a single stream, enabling natural human-machine dialogue without sequential processing delays. The system utilizes a neural audio codec to compress high-fidelity audio into low-bitrate tokens for efficient transmission. To manage complex responses and reasoning, it employs internal monologue modeling, which generates a hidden stream of thought tokens alongside audible speech

p-queue es una cola de promesas de JavaScript y un programador de tareas concurrentes diseñado para limitar el número de operaciones asíncronas activas. Sirve como un limitador de tasa asíncrono y gestor del ciclo de vida de promesas para prevenir el agotamiento de recursos. El proyecto se distingue por la programación de tareas basada en prioridades y la limitación de tasa de cubo de tokens (token-bucket) para controlar la frecuencia de ejecución. Se integra con señales de aborto para la cancelación de tareas y proporciona mecanismos para pausar, reanudar y borrar operaciones pendientes. La herramienta cubre capacidades más amplias de gestión de tráfico, incluyendo tiempos de espera de operaciones y limitación de concurrencia. También incluye primitivas de monitoreo para rastrear el estado de la cola y el conteo de tareas pendientes, así como sincronización para el estado de inactividad de la cola.

openai-go is an LLM SDK for Go and a client for interacting with OpenAI services. It provides type-safe bindings to generate text, images, and audio via REST endpoints, enabling the integration of large language models and AI assistant orchestration into Go applications. The library serves as an agent orchestration tool for managing stateful conversation threads and autonomous agents with integrated tool calling and file search. It also functions as an asynchronous batch processing client for monitoring large-scale request groups and fine-tuning jobs, alongside a management SDK for controllin

This is a Python SDK for interacting with large language models via API. It serves as a client library to generate text, process messages, and manage conversational states, while providing a specialized interface for connecting to models hosted across different cloud infrastructure providers. The SDK includes a tool-calling framework that maps Python functions to JSON schemas, allowing models to execute external tools. It also features a built-in token counting utility to estimate input size before transmission and a server-sent events client for receiving model tokens in real time. The libr