136 lines
3.8 KiB
Ruby
136 lines
3.8 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Completions
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module Endpoints
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class Anthropic < Base
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def self.can_contact?(model_provider)
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model_provider == "anthropic"
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end
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def normalize_model_params(model_params)
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# max_tokens, temperature, stop_sequences are already supported
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model_params
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end
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def default_options(dialect)
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mapped_model =
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case llm_model.name
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when "claude-2"
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"claude-2.1"
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when "claude-instant-1"
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"claude-instant-1.2"
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when "claude-3-haiku"
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"claude-3-haiku-20240307"
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when "claude-3-sonnet"
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"claude-3-sonnet-20240229"
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when "claude-3-opus"
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"claude-3-opus-20240229"
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when "claude-3-5-sonnet"
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"claude-3-5-sonnet-latest"
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else
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llm_model.name
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end
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# Note: Anthropic requires this param
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max_tokens = 4096
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max_tokens = 8192 if mapped_model.match?(/3.5/)
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options = { model: mapped_model, max_tokens: max_tokens }
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options[:stop_sequences] = ["</function_calls>"] if !dialect.native_tool_support? &&
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dialect.prompt.has_tools?
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options
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end
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def provider_id
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AiApiAuditLog::Provider::Anthropic
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end
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private
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def xml_tags_to_strip(dialect)
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if dialect.prompt.has_tools?
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%w[thinking search_quality_reflection search_quality_score]
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else
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[]
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end
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end
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# this is an approximation, we will update it later if request goes through
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def prompt_size(prompt)
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tokenizer.size(prompt.system_prompt.to_s + " " + prompt.messages.to_s)
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end
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def model_uri
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URI(llm_model.url)
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end
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def xml_tools_enabled?
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!@native_tool_support
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end
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def prepare_payload(prompt, model_params, dialect)
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@native_tool_support = dialect.native_tool_support?
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payload = default_options(dialect).merge(model_params).merge(messages: prompt.messages)
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payload[:system] = prompt.system_prompt if prompt.system_prompt.present?
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payload[:stream] = true if @streaming_mode
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if prompt.has_tools?
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payload[:tools] = prompt.tools
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if dialect.tool_choice.present?
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payload[:tool_choice] = { type: "tool", name: dialect.tool_choice }
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end
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end
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payload
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end
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def prepare_request(payload)
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headers = {
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"anthropic-version" => "2023-06-01",
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"x-api-key" => llm_model.api_key,
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"content-type" => "application/json",
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}
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Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
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end
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def decode_chunk(partial_data)
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@decoder ||= JsonStreamDecoder.new
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(@decoder << partial_data)
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.map { |parsed_json| processor.process_streamed_message(parsed_json) }
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.compact
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end
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def decode(response_data)
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processor.process_message(response_data)
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end
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def processor
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@processor ||=
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DiscourseAi::Completions::AnthropicMessageProcessor.new(
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streaming_mode: @streaming_mode,
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partial_tool_calls: partial_tool_calls,
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)
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end
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def has_tool?(_response_data)
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processor.tool_calls.present?
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end
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def tool_calls
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processor.to_tool_calls
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end
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def final_log_update(log)
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log.request_tokens = processor.input_tokens if processor.input_tokens
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log.response_tokens = processor.output_tokens if processor.output_tokens
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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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