openrouter-python-streaming

To stream LLM responses in Python using OpenRouter, this Skill implements async streaming via LiteLLM. It provides a unified API to access 400+ models and enables real-time chat experiences without manual polling.

You need an OpenRouter API key and the litellm Python package to set up async streaming. This Skill uses these dependencies to establish production-ready streaming workflows and access multi-provider models.

Yes, LiteLLM handles transient failures during LLM streaming through built-in retry logic and backoff. This Skill leverages these mechanisms to ensure robust streaming chat experiences when temporary network or API errors occur.

Yes, you can access multiple LLM providers through a single Python API using OpenRouter. This Skill supports multi-provider access to 400+ models via a unified API, allowing you to explore and integrate various models seamlessly.

The best way to build responsive AI assistants is by implementing async streaming with LiteLLM. This Skill provides production-ready usage patterns for real-time text generation, enabling immediate feedback and robust chat experiences.