Method: Anthropic::Resources::Beta::Messages#create

Defined in:
lib/anthropic/resources/beta/messages.rb

#create(max_tokens:, messages:, model:, cache_control: nil, container: nil, context_management: nil, inference_geo: nil, mcp_servers: nil, metadata: nil, output_config: nil, output_format: nil, service_tier: nil, speed: nil, stop_sequences: nil, system_: nil, temperature: nil, thinking: nil, tool_choice: nil, tools: nil, top_k: nil, top_p: nil, betas: nil, request_options: {}) ⇒ Anthropic::Models::Beta::BetaMessage

See #stream_raw for streaming counterpart.

Some parameter documentations has been truncated, see Models::Beta::MessageCreateParams for more details.

Send a structured list of input messages with text and/or image content, and the model will generate the next message in the conversation.

The Messages API can be used for either single queries or stateless multi-turn conversations.

Learn more about the Messages API in our user guide

Parameters:

Returns:

See Also:



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# File 'lib/anthropic/resources/beta/messages.rb', line 86

def create(params)
  parsed, options = Anthropic::Beta::MessageCreateParams.dump_request(params)
  if parsed[:stream]
    message = "Please use `#stream` for the streaming use case."
    raise ArgumentError.new(message)
  end

  warn_thinking_enabled(parsed)

  tools, models = Anthropic::Helpers::Messages.distill_input_schema_models!(
    parsed,
    strict: nil,
    is_beta: true
  )

  unwrap = ->(raw) { Anthropic::Helpers::Messages.parse_input_schemas!(raw, tools:, models:) }

  if options.empty? && @client.timeout == Anthropic::Client::DEFAULT_TIMEOUT_IN_SECONDS
    model = parsed[:model]&.to_sym
    max_tokens = parsed[:max_tokens].to_i
    timeout = @client.calculate_nonstreaming_timeout(
      max_tokens,
      Anthropic::Client::MODEL_NONSTREAMING_TOKENS[model]
    )
    options = {timeout: timeout}
  else
    options = {timeout: 600, **options}
  end

  header_params = {betas: "anthropic-beta"}
  @client.request(
    method: :post,
    path: "v1/messages?beta=true",
    headers: parsed.slice(*header_params.keys).transform_keys(header_params),
    body: parsed.except(*header_params.keys),
    model: Anthropic::Beta::BetaMessage,
    unwrap: unwrap,
    options: options
  )
end