Switch between LLM providers and access raw SDKs via get_provider().
npx skills add https://github.com/juanre/llmring --skill providers
Please help me install this Agent Skill. Skill: providers Source: https://github.com/juanre/llmring/tree/main/skills/providers Command: npx skills add https://github.com/juanre/llmring --skill providers
Managing multiple LLM providers (OpenAI, Anthropic, Google, Ollama) often means dealing with different APIs and SDKs, hindering flexibility and access to unique features. This Skill unifies access and enables provider-specific optimizations, saving you integration effort.
openai.AsyncOpenAI) for advanced, provider-specific features like OpenAI's logprobs or Anthropic's prompt caching.Use the providers skill to get the raw OpenAI client and make a chat completion request to 'gpt-4o' with 'logprobs' enabled.
High-intent search queries and answers about installing and using this skill.
Switching between LLM providers uses a unified interface that abstracts provider differences. This Skill provides get_provider() to return a consistent wrapper around each provider, letting you swap providers with minimal code changes while maintaining the same core API across OpenAI, Anthropic, Google Gemini, and Ollama.
Yes, raw SDK access is available through the .client property on each provider wrapper. You can directly use OpenAI's AsyncOpenAI or Anthropic's SDK to unlock provider-specific features including logprobs, prompt caching, and custom parameters without losing the multi-provider abstraction layer.
Configure multi-provider fallbacks by defining backup providers that activate on outages or rate limits. The Skill supports chaining providers so requests automatically retry with an alternative if the primary fails, ensuring resilience across OpenAI, Anthropic, Google, and Ollama without manual intervention.
No, providers auto-initialize from environment variables. The Skill reads standard provider credentials and API keys automatically, eliminating manual setup for OpenAI, Anthropic, Google Gemini, and Ollama—you only configure env vars once.
Use provider switching to route requests to cheaper models first, then fall back to premium providers if needed. Anthropic's prompt caching saves up to 90% on token costs for repeated long system prompts, combining cost optimization with failover protection in multi-provider setups.
ajshedivyConfigure language model providers for Agno agents via model strings and environment variables.
ovachieverConstrain LLM outputs to valid JSON, XML, and code using regex and grammar constraints.
AgLyx3Design prompt patterns and evaluation frameworks for LLM-driven workflows.
NovaAI-innovationInteract with OpenAI, Anthropic, Google, and Ollama LLM providers.