Call hosted LLMs from OpenAI, Anthropic, and Google via Lightning AI.
npx skills add https://github.com/Lightning-AI/skills --skill lightning-llm-gateway
Please help me install this Agent Skill. Skill: lightning-llm-gateway Source: https://github.com/Lightning-AI/skills/tree/main/lightning-llm-gateway Command: npx skills add https://github.com/Lightning-AI/skills --skill lightning-llm-gateway
This skill solves the fragmentation of using multiple LLM providers by providing a single, unified interface for inference, billing, and model management through the Lightning AI platform.
Use the lightning-llm-gateway skill to chat with openai/gpt-4o using the teamspace my-org/my-teamspace.
High-intent search queries and answers about installing and using this skill.
You can call OpenAI, Anthropic, Google, and open-weights models through a unified interface using the lightning-llm-gateway. It provides one consistent SDK for inference, handling multi-turn conversations and streaming responses across various providers.
You can compare inference costs and context limits for models like GPT-4o and Claude 3.5 Sonnet using the gateway. It retrieves real-time pricing, context limits, and model metadata so you can optimize inference costs on the same prompt.
Yes, you need the lightning-sdk Python package and valid teamspace authentication to manage LLM inference. These prerequisites allow the gateway to execute inference requests and track usage costs through the Lightning AI platform.
The best way to handle multi-turn conversations and streaming responses across hosted LLMs is using a unified API gateway. It manages server-side conversation persistence and streams responses consistently across providers like OpenAI, Anthropic, and Google.
Yes, the gateway supports server-side conversation persistence for AI agents. It handles multi-turn chat sessions and streaming responses, allowing you to maintain conversation context seamlessly across different LLM providers.
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