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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.

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