discourse-ai/lib/completions/json_stream_decoder.rb
Sam e817b7dc11
FEATURE: improve tool support (#904)
This re-implements tool support in DiscourseAi::Completions::Llm #generate

Previously tool support was always returned via XML and it would be the responsibility of the caller to parse XML

New implementation has the endpoints return ToolCall objects.

Additionally this simplifies the Llm endpoint interface and gives it more clarity. Llms must implement

decode, decode_chunk (for streaming)

It is the implementers responsibility to figure out how to decode chunks, base no longer implements. To make this easy we ship a flexible json decoder which is easy to wire up.

Also (new)

    Better debugging for PMs, we now have a next / previous button to see all the Llm messages associated with a PM
    Token accounting is fixed for vllm (we were not correctly counting tokens)
2024-11-12 08:14:30 +11:00

49 lines
1.1 KiB
Ruby

# frozen_string_literal: true
module DiscourseAi
module Completions
# will work for anthropic and open ai compatible
class JsonStreamDecoder
attr_reader :buffer
LINE_REGEX = /data: ({.*})\s*$/
def initialize(symbolize_keys: true, line_regex: LINE_REGEX)
@symbolize_keys = symbolize_keys
@buffer = +""
@line_regex = line_regex
end
def <<(raw)
@buffer << raw.to_s
rval = []
split = @buffer.scan(/.*\n?/)
split.pop if split.last.blank?
@buffer = +(split.pop.to_s)
split.each do |line|
matches = line.match(@line_regex)
next if !matches
rval << JSON.parse(matches[1], symbolize_names: @symbolize_keys)
end
if @buffer.present?
matches = @buffer.match(@line_regex)
if matches
begin
rval << JSON.parse(matches[1], symbolize_names: @symbolize_keys)
@buffer = +""
rescue JSON::ParserError
# maybe it is a partial line
end
end
end
rval
end
end
end
end