llm.api

"Llamar" is Spanish for "to call"

Minimal-dependency LLM chat interface. Part of cornyverse.

Exports

Function	Purpose
chat(prompt, model)	Chat with any LLM
chat_openai(prompt)	OpenAI GPT models
chat_claude(prompt)	Anthropic Claude models
chat_ollama(prompt)	Local Ollama server
chat_local(prompt, model)	Direct llama.cpp via localLLM
list_local_models()	Find GGUF files
list_ollama_models()	List Ollama models
llm_base(url)	Set API endpoint
llm_key(key)	Set API key

Providers

• openai: GPT-4o, GPT-4o-mini, o1, o3
• anthropic: Claude 3.5 Sonnet, Claude 3.5 Haiku
• ollama: Llama 3.2, Mistral, Gemma, Phi, Qwen (via server)
• local: Any GGUF model via llama.cpp (no server needed)

Usage

# Auto-detect provider from model
chat("Hello", model = "gpt-4o")
chat("Hello", model = "claude-3-5-sonnet-latest")

# Use convenience wrappers
chat_ollama("What is R?")
chat_claude("Explain machine learning")

# Direct local inference (no server)
chat_local("Explain R", model = "~/models/llama-3.2-1b.gguf")
chat("Hello", model = "model.gguf")  # Auto-detects local

# Conversation history
result <- chat("Hi, I'm Troy")
chat("What's my name?", history = result$history)

# Streaming
chat("Write a story", stream = TRUE)

Dependencies

• Required: curl, jsonlite
• Optional: localLLM (for direct llama.cpp inference)