Route OpenAI-compatible chat completion requests across LLM providers with automatic failover.
npx skills add https://github.com/obulai/obul-apis --skill obul-llm
Please help me install this Agent Skill. Skill: obul-llm Source: https://github.com/obulai/obul-apis/tree/main/skills/obul-llm Command: npx skills add https://github.com/obulai/obul-apis --skill obul-llm
This Skill provides seamless access to various Large Language Models (LLMs) like GPT-4o and Claude through a single, unified API, abstracting away the complexities of provider selection, payment, and failover.
obul-llm, and Obul handles the rest, ensuring cost-effectiveness and reliability.Use the obul-llm skill to get a chat completion from GPT-4o with the message "Explain the Obul API gateway in one sentence."
High-intent search queries and answers about installing and using this skill.
To route LLM API requests to the cheapest provider, you can use an API gateway that evaluates real-time pricing and directs your OpenAI-compatible chat completion requests to the lowest cost option.
Automatic failover for LLM API requests works by detecting when a provider fails and seamlessly switching your chat completion request to another available provider to ensure reliability.
Yes, you can use OpenAI-compatible chat completion requests to interact with multiple LLMs like Claude and GPT-4o through a single unified API, abstracting away provider complexities.
Yes, you need to set an OBUL_API_KEY environment variable for authentication to access various LLM providers through the unified API gateway.
You can list available LLM categories and query their real-time pricing using the API gateway's discovery features, allowing you to find the most cost-effective models for your requests.
The best way to avoid managing multiple API keys for different LLM providers is to use a unified API gateway that handles provider selection, payment, and failover through a single key.
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