Module: RubyLLM::Agents::Pricing::LLMPricingAdapter

Extended by:
LLMPricingAdapter
Included in:
LLMPricingAdapter
Defined in:
lib/ruby_llm/agents/pricing/llmpricing_adapter.rb

Overview

Normalizes LLM Pricing AI per-model data into the common pricing format.

This API returns **calculated costs** for a given token count, not raw rates. We query with 1M tokens to derive per-token rates.

Coverage: ~79 models across 4 providers (OpenAI, Anthropic, Groq, Mistral). Text LLM only — no transcription, TTS, image, or embedding.

Examples:

LLMPricingAdapter.find_model("gpt-4o")
# => { input_cost_per_token: 0.0000025, output_cost_per_token: 0.00001, source: :llmpricing }

Constant Summary collapse

PROVIDER_MAP = 
[
  [/^(gpt-|o1|o3|o4|whisper|dall-e|tts-|chatgpt)/, "OpenAI"],
  [/^claude/, "Anthropic"],
  [/^(mixtral|mistral|codestral|pixtral|ministral)/, "Mistral"],
  [/^(gemma|llama)/, "Groq"]
].freeze
QUERY_TOKENS = 
1_000_000

Instance Method Summary collapse

Instance Method Details

#find_model(model_id) ⇒ Hash?

Find and normalize pricing for a model

Parameters:

  • model_id (String) —

    The model identifier

Returns:

  • (Hash, nil) —

    Normalized pricing hash or nil



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# File 'lib/ruby_llm/agents/pricing/llmpricing_adapter.rb', line 34

def find_model(model_id)
  provider = resolve_provider(model_id)
  return nil unless provider

  raw = DataStore.llmpricing_data(provider, model_id, QUERY_TOKENS, QUERY_TOKENS)
  return nil unless raw.is_a?(Hash)
  return nil unless raw["input_cost"].is_a?(Numeric) && raw["input_cost"].positive?

  normalize(raw)
end