Call LLM API (Unified Wrapper)

Unified wrapper for calling different LLM providers (OpenAI, Gemini, Ollama). Automatically routes to the appropriate provider-specific function.

Usage

call_llm_api(
  provider = c("openai", "gemini", "ollama"),
  system_prompt,
  user_prompt,
  model = NULL,
  temperature = 0,
  max_tokens = 150,
  api_key = NULL
)

Arguments

provider

Character string: "openai", "gemini", or "ollama"

system_prompt

Character string with system instructions

user_prompt

Character string with user message

model

Character string specifying the model (provider-specific defaults apply)

temperature

Numeric temperature for response randomness (default: 0)

max_tokens

Maximum number of tokens to generate (default: 150)

api_key

Character string with API key (required for openai/gemini)

Value

Character string with the model's response

See also

Other ai: call_gemini_chat(), call_ollama(), call_openai_chat(), check_ollama(), generate_topic_content(), get_api_embeddings(), get_best_embeddings(), get_content_type_prompt(), get_content_type_user_template(), get_recommended_ollama_model(), list_ollama_models(), run_rag_search()

Examples

if (FALSE) { # \dontrun{
# Using OpenAI
response <- call_llm_api(
  provider = "openai",
  system_prompt = "You are a helpful assistant.",
  user_prompt = "Generate a topic label",
  api_key = Sys.getenv("OPENAI_API_KEY")
)

# Using Gemini
response <- call_llm_api(
  provider = "gemini",
  system_prompt = "You are a helpful assistant.",
  user_prompt = "Generate a topic label",
  api_key = Sys.getenv("GEMINI_API_KEY")
)
} # }