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llm.api

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_openai_codex(prompt)`	OpenAI Codex via ChatGPT subscription auth
`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
openai_codex: Codex Responses via ChatGPT subscription OAuth
ollama: Llama 3.2, Mistral, Gemma, Phi, Qwen (via server)

Usage

# Auto-detect provider from model
chat("Hello", model = "gpt-5.4-mini")
chat("Hello", model = "claude-3-5-sonnet-latest")
chat("Hello", model = "kimi-k2.5")

# 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-k2.5")

# ChatGPT subscription-backed Codex provider (log in once; see below)
chat_openai_codex("Write a small R function")
chat("Refactor this loop", provider = "openai_codex", model = "gpt-5.5")

# 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.

OpenAI Codex (ChatGPT subscription)

The openai_codex provider talks to Codex using your ChatGPT subscription instead of an API key. Authentication is a one-time device login; the token is cached and refreshed by tinyoauth, so you log in once and it persists across R sessions.

# One-time: device-code login. Prints a URL + code to authorize in a
# browser. The token is cached under tools::R_user_dir("tinyoauth").
openai_codex_login()

# Thereafter, just use the provider; credentials come from the cache
# and refresh automatically.
chat_openai_codex("Write a small R function")
chat("Refactor this", provider = "openai_codex", model = "gpt-5.5")

Models: gpt-5.5 (default), gpt-5.4, gpt-5.4-mini, gpt-5.3-codex-spark.

To use an externally-obtained token instead of logging in, set OPENAI_CODEX_ACCESS_TOKEN (and optionally OPENAI_CODEX_ACCOUNT_ID); these override the cache.

Dependencies

curl, jsonlite, and tinyoauth (for Codex device login and token caching). No tidyverse, no compiled code.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.