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1d786fbaaf
* FEATURE: Set endpoint credentials directly from LlmModel. Drop Llama2Tokenizer since we no longer use it. * Allow http for custom LLMs --------- Co-authored-by: Rafael Silva <xfalcox@gmail.com>
39 lines
1.0 KiB
Ruby
39 lines
1.0 KiB
Ruby
# frozen_string_literal: true
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class TestDialect < DiscourseAi::Completions::Dialects::Dialect
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attr_accessor :max_prompt_tokens
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def trim(messages)
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trim_messages(messages)
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end
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def tokenizer
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Class.new do
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def self.size(str)
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str.length
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end
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end
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end
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end
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RSpec.describe DiscourseAi::Completions::Dialects::Dialect do
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describe "#trim_messages" do
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it "should trim tool messages if tool_calls are trimmed" do
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prompt = DiscourseAi::Completions::Prompt.new("12345")
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prompt.push(type: :user, content: "12345")
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prompt.push(type: :tool_call, content: "12345", id: 1)
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prompt.push(type: :tool, content: "12345", id: 1)
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prompt.push(type: :user, content: "12345")
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dialect = TestDialect.new(prompt, "test")
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dialect.max_prompt_tokens = 15 # fits the user messages and the tool_call message
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trimmed = dialect.trim(prompt.messages)
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expect(trimmed).to eq(
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[{ type: :system, content: "12345" }, { type: :user, content: "12345" }],
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)
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end
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end
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end
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