discourse-ai/lib/completions/endpoints/cohere.rb

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# frozen_string_literal: true
module DiscourseAi
module Completions
module Endpoints
class Cohere < Base
def self.can_contact?(model_provider)
model_provider == "cohere"
end
def normalize_model_params(model_params)
model_params = model_params.dup
model_params[:p] = model_params.delete(:top_p) if model_params[:top_p]
model_params
end
def default_options(dialect)
{ model: "command-r-plus" }
end
def provider_id
AiApiAuditLog::Provider::Cohere
end
private
def model_uri
URI(llm_model.url)
end
def prepare_payload(prompt, model_params, dialect)
payload = default_options(dialect).merge(model_params).merge(prompt)
if prompt[:tools].present?
payload[:tools] = prompt[:tools]
payload[:force_single_step] = false
end
payload[:tool_results] = prompt[:tool_results] if prompt[:tool_results].present?
payload[:stream] = true if @streaming_mode
payload
end
def prepare_request(payload)
headers = {
"Content-Type" => "application/json",
"Authorization" => "Bearer #{llm_model.api_key}",
}
Net::HTTP::Post.new(model_uri, headers).tap { |r| r.body = payload }
end
def extract_completion_from(response_raw)
parsed = JSON.parse(response_raw, symbolize_names: true)
if @streaming_mode
if parsed[:event_type] == "text-generation"
parsed[:text]
elsif parsed[:event_type] == "tool-calls-generation"
# could just be random thinking...
if parsed.dig(:tool_calls).present?
@has_tool = true
parsed.dig(:tool_calls).to_json
else
""
end
else
if parsed[:event_type] == "stream-end"
@input_tokens = parsed.dig(:response, :meta, :billed_units, :input_tokens)
@output_tokens = parsed.dig(:response, :meta, :billed_units, :output_tokens)
end
nil
end
else
@input_tokens = parsed.dig(:meta, :billed_units, :input_tokens)
@output_tokens = parsed.dig(:meta, :billed_units, :output_tokens)
parsed[:text].to_s
end
end
def has_tool?(_ignored)
@has_tool
end
def native_tool_support?
true
end
def add_to_function_buffer(function_buffer, partial: nil, payload: nil)
if partial
tools = JSON.parse(partial)
tools.each do |tool|
name = tool["name"]
parameters = tool["parameters"]
xml_params = parameters.map { |k, v| "<#{k}>#{v}</#{k}>\n" }.join
current_function = function_buffer.at("invoke")
if current_function.nil? || current_function.at("tool_name").content.present?
current_function =
function_buffer.at("function_calls").add_child(
Nokogiri::HTML5::DocumentFragment.parse(noop_function_call_text + "\n"),
)
end
current_function.at("tool_name").content = name == "search_local" ? "search" : name
current_function.at("parameters").children =
Nokogiri::HTML5::DocumentFragment.parse(xml_params)
end
end
function_buffer
end
def final_log_update(log)
log.request_tokens = @input_tokens if @input_tokens
log.response_tokens = @output_tokens if @output_tokens
end
def partials_from(decoded_chunk)
decoded_chunk.split("\n").compact
end
def extract_prompt_for_tokenizer(prompt)
text = +""
if prompt[:chat_history]
text << prompt[:chat_history]
.map { |message| message[:content] || message["content"] || "" }
.join("\n")
end
text << prompt[:message] if prompt[:message]
text << prompt[:preamble] if prompt[:preamble]
text
end
end
end
end
end