README.md

In llm.api: Minimal LLM Chat Interface

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 | | 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
• moonshot: Kimi K2 via Moonshot's OpenAI-compatible API
• ollama: Llama 3.2, Mistral, Gemma, Phi, Qwen (via server)

Usage

# Auto-detect provider from model
chat("Hello", model = "gpt-4o")
chat("Hello", model = "claude-3-5-sonnet-latest")
chat("Hello", model = "kimi-k2")

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

# Explicit Moonshot/Kimi provider
chat("Write a fast parser in R", provider = "moonshot", model = "kimi-k2")

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

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

Set MOONSHOT_API_KEY to use Moonshot/Kimi without overriding your OpenAI credentials.

Dependencies

Only curl and jsonlite. No tidyverse, no compiled code.

llm.api documentation built on April 16, 2026, 5:08 p.m.