137 lines
3.8 KiB
Ruby
137 lines
3.8 KiB
Ruby
# frozen_string_literal: true
|
|
|
|
module DiscourseAi
|
|
module Completions
|
|
module Endpoints
|
|
class Anthropic < Base
|
|
class << self
|
|
def can_contact?(endpoint_name)
|
|
endpoint_name == "anthropic"
|
|
end
|
|
|
|
def dependant_setting_names
|
|
%w[ai_anthropic_api_key]
|
|
end
|
|
|
|
def correctly_configured?(_model_name)
|
|
SiteSetting.ai_anthropic_api_key.present?
|
|
end
|
|
|
|
def endpoint_name(model_name)
|
|
"Anthropic - #{model_name}"
|
|
end
|
|
end
|
|
|
|
def normalize_model_params(model_params)
|
|
# max_tokens, temperature, stop_sequences are already supported
|
|
model_params
|
|
end
|
|
|
|
def default_options(dialect)
|
|
mapped_model =
|
|
case model
|
|
when "claude-2"
|
|
"claude-2.1"
|
|
when "claude-instant-1"
|
|
"claude-instant-1.2"
|
|
when "claude-3-haiku"
|
|
"claude-3-haiku-20240307"
|
|
when "claude-3-sonnet"
|
|
"claude-3-sonnet-20240229"
|
|
when "claude-3-opus"
|
|
"claude-3-opus-20240229"
|
|
when "claude-3-5-sonnet"
|
|
"claude-3-5-sonnet-20240620"
|
|
else
|
|
model
|
|
end
|
|
|
|
options = { model: mapped_model, max_tokens: 3_000 }
|
|
|
|
options[:stop_sequences] = ["</function_calls>"] if !dialect.native_tool_support? &&
|
|
dialect.prompt.has_tools?
|
|
|
|
options
|
|
end
|
|
|
|
def provider_id
|
|
AiApiAuditLog::Provider::Anthropic
|
|
end
|
|
|
|
private
|
|
|
|
def xml_tags_to_strip(dialect)
|
|
if dialect.prompt.has_tools?
|
|
%w[thinking search_quality_reflection search_quality_score]
|
|
else
|
|
[]
|
|
end
|
|
end
|
|
|
|
# this is an approximation, we will update it later if request goes through
|
|
def prompt_size(prompt)
|
|
tokenizer.size(prompt.system_prompt.to_s + " " + prompt.messages.to_s)
|
|
end
|
|
|
|
def model_uri
|
|
url = llm_model&.url || "https://api.anthropic.com/v1/messages"
|
|
|
|
URI(url)
|
|
end
|
|
|
|
def prepare_payload(prompt, model_params, dialect)
|
|
@native_tool_support = dialect.native_tool_support?
|
|
|
|
payload = default_options(dialect).merge(model_params).merge(messages: prompt.messages)
|
|
|
|
payload[:system] = prompt.system_prompt if prompt.system_prompt.present?
|
|
payload[:stream] = true if @streaming_mode
|
|
payload[:tools] = prompt.tools if prompt.has_tools?
|
|
|
|
payload
|
|
end
|
|
|
|
def prepare_request(payload)
|
|
headers = {
|
|
"anthropic-version" => "2023-06-01",
|
|
"x-api-key" => llm_model&.api_key || SiteSetting.ai_anthropic_api_key,
|
|
"content-type" => "application/json",
|
|
}
|
|
|
|
Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
|
|
end
|
|
|
|
def processor
|
|
@processor ||=
|
|
DiscourseAi::Completions::AnthropicMessageProcessor.new(streaming_mode: @streaming_mode)
|
|
end
|
|
|
|
def add_to_function_buffer(function_buffer, partial: nil, payload: nil)
|
|
processor.to_xml_tool_calls(function_buffer) if !partial
|
|
end
|
|
|
|
def extract_completion_from(response_raw)
|
|
processor.process_message(response_raw)
|
|
end
|
|
|
|
def has_tool?(_response_data)
|
|
processor.tool_calls.present?
|
|
end
|
|
|
|
def final_log_update(log)
|
|
log.request_tokens = processor.input_tokens if processor.input_tokens
|
|
log.response_tokens = processor.output_tokens if processor.output_tokens
|
|
end
|
|
|
|
def native_tool_support?
|
|
@native_tool_support
|
|
end
|
|
|
|
def partials_from(decoded_chunk)
|
|
decoded_chunk.split("\n").map { |line| line.split("data: ", 2)[1] }.compact
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|