Unify five OpenAI-compatible LLM APIs under a single interface.
npx skills add https://github.com/EndUser123/cc-marketplace --skill ai-apiv2
Please help me install this Agent Skill. Skill: ai-apiv2 Source: https://github.com/EndUser123/cc-marketplace/tree/main/plugins/cc-skills-ai-api/skills/ai-apiv2 Command: npx skills add https://github.com/EndUser123/cc-marketplace --skill ai-apiv2
Unified access for five OpenAI-compatible LLM providers under a single interface, simplifying integration and fallback logic.
Provide API keys for all five providers, initialize the OpenAI SDK with the provider-specific base_url, and POST to /v1/chat/completions while handling streaming responses.
High-intent search queries and answers about installing and using this skill.
To unify multiple OpenAI-compatible LLM APIs, this interface connects Chutes, OpenRouter, NVIDIA NIM, Gemini, and z.ai using provider-specific base URLs and the OpenAI SDK. You provide API keys via environment variables and route requests to the desired provider.
Yes, you can implement provider fallbacks for LLM streaming chat. By configuring model-fallback sequences across the five providers, the system maintains resilience against provider outages while handling streaming responses via the OpenAI SDK.
Multi-provider LLM access supports code review workflows by routing review requests through a unified OpenAI-compatible API. You can select specific providers or use fallback sequences to ensure continuous code analysis during outages.
Yes, you need separate API keys for each LLM provider. The interface uses environment-variable configuration to manage credentials for Chutes, OpenRouter, NVIDIA NIM, Gemini, and z.ai, ensuring secure access to all five providers.
The best way to optimize LLM costs is through provider selection and model-fallback sequences. This unified interface allows you to route requests to specific providers like Chutes or OpenRouter based on cost, switching automatically if a provider fails.
Yes, the unified LLM API works with the standard OpenAI SDK. You initialize the SDK with provider-specific base URLs and POST to the /v1/chat/completions endpoint, handling streaming responses exactly as you would with native OpenAI.
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