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vLLM accepts "user" as a parameter but depends on templates to actually present to LLM. Out of the box both Qwen and DeepSeek throw this info away. Username is important for Discourse discussions, so we now embed username vs supply to the API
96 lines
2.3 KiB
Ruby
Vendored
96 lines
2.3 KiB
Ruby
Vendored
# frozen_string_literal: true
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module DiscourseAi
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module Completions
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module Dialects
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class Ollama < Dialect
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class << self
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def can_translate?(llm_model)
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llm_model.provider == "ollama"
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end
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end
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def native_tool_support?
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enable_native_tool?
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end
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def max_prompt_tokens
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llm_model.max_prompt_tokens
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end
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private
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def tools_dialect
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if enable_native_tool?
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@tools_dialect ||= DiscourseAi::Completions::Dialects::OllamaTools.new(prompt.tools)
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else
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super
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end
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end
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def tokenizer
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llm_model.tokenizer_class
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end
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def model_msg(msg)
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{ role: "assistant", content: msg[:content] }
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end
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def tool_call_msg(msg)
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if enable_native_tool?
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tools_dialect.from_raw_tool_call(msg)
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else
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super
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end
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end
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def tool_msg(msg)
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if enable_native_tool?
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tools_dialect.from_raw_tool(msg)
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else
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super
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end
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end
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def system_msg(msg)
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msg = { role: "system", content: msg[:content] }
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if tools_dialect.instructions.present?
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msg[:content] = msg[:content].dup << "\n\n#{tools_dialect.instructions}"
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end
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msg
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end
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def enable_native_tool?
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return @enable_native_tool if defined?(@enable_native_tool)
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@enable_native_tool = llm_model.lookup_custom_param("enable_native_tool")
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end
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def user_msg(msg)
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content = prepend_user_id(DiscourseAi::Completions::Prompt.text_only(msg), msg)
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user_message = { role: "user", content: content }
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encoded_uploads = prompt.encoded_uploads(msg)
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if encoded_uploads.present?
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images =
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encoded_uploads
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.map do |upload|
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if upload[:mime_type].start_with?("image/")
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upload[:base64]
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else
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nil
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end
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end
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.compact
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user_message[:images] = images if images.present?
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end
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user_message
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end
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end
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end
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end
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end
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