Class: SolidLoop::Dialects::OpenAi
- Inherits:
-
Object
- Object
- SolidLoop::Dialects::OpenAi
- Defined in:
- app/services/solid_loop/dialects/open_ai.rb
Instance Method Summary collapse
- #apply_reasoning_strategies!(messages, strategies) ⇒ Object
- #auth_headers(api_token) ⇒ Object
- #completion_url(base_url) ⇒ Object
- #extract_message_data(data) ⇒ Object
- #normalize_response(data, fallback_text: "", fallback_messages_text: "") ⇒ Object
Instance Method Details
#apply_reasoning_strategies!(messages, strategies) ⇒ Object
14 15 16 17 18 19 20 21 22 23 |
# File 'app/services/solid_loop/dialects/open_ai.rb', line 14 def apply_reasoning_strategies!(, strategies) return unless .is_a?(Array) # OpenAI filter: remove Gemini-specific strategies, allow XML and string fields filtered = strategies.reject { |s| s == :gemini_signed } .each do |msg| SolidLoop::Dialects::ReasoningPacker.pack(msg, filtered) end end |
#auth_headers(api_token) ⇒ Object
10 11 12 |
# File 'app/services/solid_loop/dialects/open_ai.rb', line 10 def auth_headers(api_token) api_token.present? ? { "Authorization" => "Bearer #{api_token}" } : {} end |
#completion_url(base_url) ⇒ Object
6 7 8 |
# File 'app/services/solid_loop/dialects/open_ai.rb', line 6 def completion_url(base_url) base_url.to_s.gsub(/\/+$/, "") + "/v1/chat/completions" end |
#extract_message_data(data) ⇒ Object
25 26 27 28 29 30 31 32 |
# File 'app/services/solid_loop/dialects/open_ai.rb', line 25 def (data) choice = data.dig("choices", 0, "message") || data.dig("choices", 0, "delta") || {} { content: choice["content"], reasoning: choice["reasoning_content"] || choice["reasoning"] || choice["thought"], tool_calls: choice["tool_calls"] || [] } end |
#normalize_response(data, fallback_text: "", fallback_messages_text: "") ⇒ Object
34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
# File 'app/services/solid_loop/dialects/open_ai.rb', line 34 def normalize_response(data, fallback_text: "", fallback_messages_text: "") choice = data.dig("choices", 0, "message") || data.dig("choices", 0, "delta") || {} usage_data = if data["usage"].is_a?(Hash) && data["usage"]["total_tokens"].to_i > 0 SolidLoop::LlmUsageParser::Openai.call(data["usage"]) elsif data["timings"].is_a?(Hash) SolidLoop::LlmUsageParser::Llama.call(data["timings"]) else SolidLoop::LlmUsageParser.estimate(fallback_text, ) end reasoning_field = if choice["reasoning_content"] then "reasoning_content" elsif choice["reasoning"] then "reasoning" elsif choice["thought"] then "thought" end { content: choice["content"], reasoning: choice[reasoning_field], tool_calls: choice["tool_calls"] || [], usage: usage_data, metadata: { "reasoning_field" => reasoning_field, "model" => data["model"].presence }.compact } end |