FEATURE: Gemini Tokenizer (#1088)

app/models/embedding_definition.rb

@@ -20,7 +20,7 @@ class EmbeddingDefinition < ActiveRecord::Base
         DiscourseAi::Tokenizer::AllMpnetBaseV2Tokenizer,
         DiscourseAi::Tokenizer::BgeLargeEnTokenizer,
         DiscourseAi::Tokenizer::BgeM3Tokenizer,
-        DiscourseAi::Tokenizer::OpenAiTokenizer,
+        DiscourseAi::Tokenizer::GeminiTokenizer,
         DiscourseAi::Tokenizer::MultilingualE5LargeTokenizer,
         DiscourseAi::Tokenizer::OpenAiTokenizer,
       ].map(&:name)
@@ -61,7 +61,7 @@ class EmbeddingDefinition < ActiveRecord::Base
               pg_function: "<=>",
               url:
                 "https://generativelanguage.googleapis.com/v1beta/models/embedding-001:embedContent",
-              tokenizer_class: "DiscourseAi::Tokenizer::OpenAiTokenizer",
+              tokenizer_class: "DiscourseAi::Tokenizer::GeminiTokenizer",
               provider: GOOGLE,
             },
             {

lib/completions/llm.rb

@@ -56,7 +56,7 @@ module DiscourseAi
                       display_name: "Gemini 1.5 Flash",
                     },
                   ],
-                  tokenizer: DiscourseAi::Tokenizer::OpenAiTokenizer,
+                  tokenizer: DiscourseAi::Tokenizer::GeminiTokenizer,
                   provider: "google",
                 },
                 {

lib/tokenizer/basic_tokenizer.rb

@@ -7,6 +7,7 @@ module DiscourseAi
         def available_llm_tokenizers
           [
             DiscourseAi::Tokenizer::AnthropicTokenizer,
+            DiscourseAi::Tokenizer::GeminiTokenizer,
             DiscourseAi::Tokenizer::Llama3Tokenizer,
             DiscourseAi::Tokenizer::MixtralTokenizer,
             DiscourseAi::Tokenizer::OpenAiTokenizer,

lib/tokenizer/gemini_tokenizer.rb

@@ -0,0 +1,11 @@
+# frozen_string_literal: true
+
+module DiscourseAi
+  module Tokenizer
+    class GeminiTokenizer < BasicTokenizer
+      def self.tokenizer
+        @@tokenizer ||= Tokenizers.from_file("./plugins/discourse-ai/tokenizers/gemma2.json")
+      end
+    end
+  end
+end

spec/shared/tokenizer_spec.rb

@@ -228,3 +228,32 @@ describe DiscourseAi::Tokenizer::Llama3Tokenizer do
     end
   end
 end
+
+describe DiscourseAi::Tokenizer::GeminiTokenizer do
+  describe "#size" do
+    describe "returns a token count" do
+      it "for a sentence with punctuation and capitalization and numbers" do
+        expect(described_class.size("Hello, World! 123")).to eq(9)
+      end
+    end
+  end
+
+  describe "#truncate" do
+    it "truncates a sentence" do
+      sentence = "foo bar baz qux quux corge grault garply waldo fred plugh xyzzy thud"
+      expect(described_class.truncate(sentence, 3)).to eq("foo bar")
+    end
+
+    it "truncates a sentence successfully at a multibyte unicode character" do
+      sentence = "foo bar 👨🏿‍👩🏿‍👧🏿‍👧🏿 baz qux quux corge grault garply waldo fred plugh xyzzy thud"
+      expect(described_class.truncate(sentence, 8)).to eq("foo bar 👨🏿‍👩")
+    end
+
+    it "truncates unicode characters properly when they use more than one token per char" do
+      sentence = "我喜欢吃比萨"
+      original_size = described_class.size(sentence)
+      expect(described_class.size(described_class.truncate(sentence, original_size - 2))).to be <
+        original_size
+    end
+  end
+end

tokenizers/README.md

@@ -33,3 +33,7 @@ Licensed under MIT License
 ## Meta-Llama-3-70B-Instruct
 
 Licensed under META LLAMA 3 COMMUNITY LICENSE
+
+## Gemma 2
+
+Licensed under the [Gemma Terms of Use](https://ai.google.dev/gemma/terms)