Create a Anthropic LLM Object

Usage

create_Anthropic(
  model_name,
  system_prompt = SYSTEM_PROMPT_DEFAULT,
  temperature = TEMPERATURE_DEFAULT,
  output_schema = NULL,
  name = NULL,
  base_url = ANTHROPIC_URL_DEFAULT,
  api_key = NULL,
  api_key_env = ANTHROPIC_API_KEY_ENV_DEFAULT,
  keychain_service = NULL,
  anthropic_version = ANTHROPIC_API_VERSION_DEFAULT,
  anthropic_beta = NULL,
  max_tokens = ANTHROPIC_MAX_TOKENS_DEFAULT,
  timeout = ANTHROPIC_TIMEOUT_DEFAULT,
  extra_headers = NULL,
  extra_body = NULL,
  thinking_budget_tokens = NULL,
  validate_model = FALSE
)

Arguments

model_name: Character: The name of the Anthropic model to use.
system_prompt: Character: The system prompt to use.
temperature: Numeric [0, 2]: The temperature for the model.
output_schema: Optional Schema: Output schema created using schema. Structured output is implemented by forcing a single synthetic tool call whose input_schema is this schema.
name: Optional character: Name for the LLM object.
base_url: Character: Base URL of the Anthropic API.
api_key: Optional character: API key.
api_key_env: Character: Environment variable containing the API key.
keychain_service: Optional character: macOS Keychain service containing the API key.
anthropic_version: Character: Value of the required anthropic-version header.
anthropic_beta: Optional character: Value(s) for the anthropic-beta header.
max_tokens: Integer [1, Inf): Maximum number of tokens the model may generate.
timeout: Numeric (0, Inf): Request timeout in seconds.
extra_headers: Optional list: Additional HTTP headers.
extra_body: Optional list: Additional request body fields.
thinking_budget_tokens: Optional integer [1024, Inf): Extended-thinking budget.
validate_model: Logical: Whether to validate model availability using /models.

Value

Anthropic LLM object

Author

EDG

Examples

llm <- create_Anthropic(
   model_name = "claude-sonnet-4-6",
   system_prompt = "You are a meticulous research assistant.",
   api_key = "test-key",
   validate_model = FALSE
)