Class: Ask::Providers::Google

Inherits:
Ask::Provider
  • Object
show all
Includes:
LLM::ProviderConfig, LLM::SSEBuffer
Defined in:
lib/ask/provider/google.rb

Overview

Google Gemini API provider. Also supports Vertex AI via GCP service account auth.

Class Method Summary collapse

Instance Method Summary collapse

Methods included from LLM::SSEBuffer

#each_sse_event, #init_sse_buffer

Constructor Details

#initialize(config = {}) ⇒ Google

Returns a new instance of Google.



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# File 'lib/ask/provider/google.rb', line 10

def initialize(config = {})
  config = normalize_config(config)
  super(config)
  @http = build_http
  @project_id = config.project_id
end

Class Method Details

.capabilities ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 72

def capabilities
  {
    chat: true, streaming: true, tool_calls: true, vision: true,
    structured_output: true, embed: true, file_upload: true
  }
end

.configuration_options ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 79

def configuration_options; %i[api_key access_token vertex_token project_id api_base]; end

.configuration_requirements ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 80

def configuration_requirements; %i[api_key]; end

.slug ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 70

def slug; "gemini"; end

Instance Method Details

#api_base ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 17

def api_base
  @config.api_base || "https://generativelanguage.googleapis.com/v1beta"
end

#build_request(messages, model:, tools: nil, temperature: nil, stream: nil, schema: nil, **params) ⇒ Object

--- Config transformation contract ---



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# File 'lib/ask/provider/google.rb', line 85

def build_request(messages, model:, tools: nil, temperature: nil, stream: nil, schema: nil, **params)
  payload = { contents: format_contents(messages), systemInstruction: format_system(messages) }

  if tools&.any?
    payload[:tools] = [{ functionDeclarations: tools.map { |t| format_tool(t) } }]
  end
  if schema
    payload[:generationConfig] ||= {}
    payload[:generationConfig][:response_mime_type] = "application/json"
    payload[:generationConfig][:response_schema] = schema
  end
  payload[:generationConfig] ||= {}
  payload[:generationConfig][:temperature] = temperature if temperature
  payload.merge(params)
end

#chat(messages, model:, tools: nil, temperature: nil, stream: nil, schema: nil, **params, &block) ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 33

def chat(messages, model:, tools: nil, temperature: nil, stream: nil, schema: nil, **params, &block)
  msgs = messages.is_a?(Ask::Conversation) ? messages.to_a : messages
  payload = build_request(msgs, model:, tools:, temperature:, stream:, schema:, **params)
  path = chat_path(model)
  if stream
    chat_stream(path, payload, model, &block)
  else
    chat_nonstream(path, payload, model)
  end
end

#embed(texts, model:) ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 44

def embed(texts, model:)
  texts = Array(texts)
  response = @http.post("models/#{model}:batchEmbedContents") { |r|
    r.body = { requests: texts.map { |t| { model: "models/#{model}", content: { parts: [{ text: t }] } } } }
  }
  raise LLM::HTTP.map_error(response.status, response.body, provider: "Google") unless response.success?

  embeddings = response.body.dig("embeddings") || []
  Ask::Result.success(embeddings.map { |e| e["values"] })
end

#format_message(msg) ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 140

def format_message(msg)
  role = (msg[:role] || msg["role"]).to_s
  content = msg[:content] || msg["content"]
  google_role = role == "assistant" ? "model" : role

  parts = []
  parts << { text: content } if content

  if msg[:tool_calls] || msg["tool_calls"]
    (msg[:tool_calls] || msg["tool_calls"]).each do |tc|
      parts << {
        functionCall: {
          name: tc.dig(:function, :name) || tc.dig("function", "name") || tc[:name],
          args: parse_json(tc.dig(:function, :arguments) || tc.dig("function", "arguments") || tc[:arguments] || "{}")
        }
      }
    end
  end

  if msg[:tool_call_id] || msg["tool_call_id"]
    parts << {
      functionResponse: {
        name: msg[:name] || msg["name"] || "function",
        response: { content: content || "" }
      }
    }
  end

  { role: google_role, parts: }
end

#format_tools(tools) ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 171

def format_tools(tools)
  tools.map { |t|
    {
      name: t.respond_to?(:name) ? t.name : t[:name],
      description: t.respond_to?(:description) ? t.description : t[:description],
      parameters: t.respond_to?(:parameters) ? t.parameters : (t[:parameters] || {})
    }
  }
end

#headers ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 21

def headers
  h = { "Content-Type" => "application/json" }
  if @config.api_key
    # Gemini uses query param auth by default
  elsif @config.access_token
    h["Authorization"] = "Bearer #{@config.access_token}"
  elsif @config.vertex_token
    h["Authorization"] = "Bearer #{@config.vertex_token}"
  end
  h
end

#list_models ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 55

def list_models
  response = @http.get("models") { |r| r.params["key"] = @config.api_key if @config.api_key }
  return [] unless response.success?

  (response.body["models"] || []).map { |m|
    Ask::ModelInfo.new(id: m["name"].sub("models/", ""), provider: slug)
  }
end

#parse_error(response) ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 64

def parse_error(response)
  body = response.body rescue nil
  body&.dig("error", "message")
end

#parse_response(body, model) ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 101

def parse_response(body, model)
  candidate = body.dig("candidates", 0)
  return Ask::Message.new(role: :assistant, content: nil) unless candidate

  content = candidate.dig("content", "parts")&.map { |p| p["text"] }&.compact&.join
  fc = candidate.dig("content", "parts")&.select { |p| p["functionCall"] } || []
  tool_calls = fc.map do |p|
    f = p["functionCall"]
    { id: SecureRandom.hex(8), type: "function", name: f["name"], arguments: JSON.generate(f["args"] || {}) }
  end

  usage = body["usageMetadata"] || {}
  Ask::Message.new(
    role: :assistant,
    content:,
    tool_calls: tool_calls.empty? ? nil : tool_calls,
    metadata: {
      model:,
      finish_reason: candidate["finishReason"],
      input_tokens: usage["promptTokenCount"],
      output_tokens: usage["candidatesTokenCount"],
      raw: body
    }
  )
end

#parse_stream(raw, stream, model, &block) ⇒ Object 



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# File 'lib/ask/provider/google.rb', line 127

def parse_stream(raw, stream, model, &block)
  each_sse_event(raw) do |data|
    parsed = JSON.parse(data) rescue next
    candidate = parsed.dig("candidates", 0) or next
    part = candidate.dig("content", "parts", 0)
    next unless part

    chunk = Ask::Chunk.new(content: part["text"])
    stream.add(chunk)
    yield chunk if block_given?
  end
end