Files
leadchat/lib/integrations/llm_instrumentation.rb
Aakash Bakhle aa7e3c2d38 feat: langfuse logging improvements (#13534)
Langfuse logging improvements

## Description

Please include a summary of the change and issue(s) fixed. Also, mention
relevant motivation, context, and any dependencies that this change
requires.
Fixes # (issue)
For reply suggestion: the errors are being stored inside output field,
but observations should be marked as errors.
For assistant: add credit_used metadata to filter handoffs from
ai-replies
For langfuse tool call: add `observation_type=tool`

## Type of change

- [x] Bug fix (non-breaking change which fixes an issue)
## How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide
instructions so we can reproduce. Please also list any relevant details
for your test configuration.

before:
<img width="1028" height="57" alt="image"
src="https://github.com/user-attachments/assets/70f6a36e-6c33-444c-a083-723c7c9e823a"
/>

after:
<img width="872" height="69" alt="image"
src="https://github.com/user-attachments/assets/1b6b6f5f-5384-4e9c-92ba-f56748fec6dd"
/>

`credit_used` to filter handoffs from AI replies that cause credit usage
<img width="1082" height="672" alt="image"
src="https://github.com/user-attachments/assets/90914227-553a-4c03-bc43-56b2018ac7c1"
/>


set `observation_type` to `tool`
<img width="726" height="1452" alt="image"
src="https://github.com/user-attachments/assets/e639cc9b-1c6c-4427-887e-23e5523bf64f"
/>


## Checklist:

- [x] My code follows the style guidelines of this project
- [x] I have performed a self-review of my code
- [x] I have commented on my code, particularly in hard-to-understand
areas
- [ ] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] Any dependent changes have been merged and published in downstream
modules
2026-02-17 13:30:04 +05:30

125 lines
3.8 KiB
Ruby

# frozen_string_literal: true
require 'opentelemetry_config'
module Integrations::LlmInstrumentation
include Integrations::LlmInstrumentationConstants
include Integrations::LlmInstrumentationHelpers
include Integrations::LlmInstrumentationSpans
def instrument_llm_call(params)
return yield unless ChatwootApp.otel_enabled?
result = nil
executed = false
tracer.in_span(params[:span_name]) do |span|
setup_span_attributes(span, params)
result = yield
executed = true
record_completion(span, result)
result
end
rescue StandardError => e
ChatwootExceptionTracker.new(e, account: resolve_account(params)).capture_exception
executed ? result : yield
end
def instrument_agent_session(params)
return yield unless ChatwootApp.otel_enabled?
result = nil
executed = false
tracer.in_span(params[:span_name]) do |span|
set_metadata_attributes(span, params)
# By default, the input and output of a trace are set from the root observation
span.set_attribute(ATTR_LANGFUSE_OBSERVATION_INPUT, params[:messages].to_json)
result = yield
executed = true
span.set_attribute(ATTR_LANGFUSE_OBSERVATION_OUTPUT, result.to_json)
set_error_attributes(span, result) if result.is_a?(Hash)
result
end
rescue StandardError => e
ChatwootExceptionTracker.new(e, account: resolve_account(params)).capture_exception
executed ? result : yield
end
def instrument_tool_call(tool_name, arguments)
# There is no error handling because tools can fail and LLMs should be
# aware of those failures and factor them into their response.
return yield unless ChatwootApp.otel_enabled?
tracer.in_span(format(TOOL_SPAN_NAME, tool_name)) do |span|
span.set_attribute(ATTR_LANGFUSE_OBSERVATION_TYPE, 'tool')
span.set_attribute(ATTR_LANGFUSE_OBSERVATION_INPUT, arguments.to_json)
result = yield
span.set_attribute(ATTR_LANGFUSE_OBSERVATION_OUTPUT, result.to_json)
set_error_attributes(span, result) if result.is_a?(Hash)
result
end
end
def instrument_embedding_call(params)
return yield unless ChatwootApp.otel_enabled?
instrument_with_span(params[:span_name] || 'llm.embedding', params) do |span, track_result|
set_embedding_span_attributes(span, params)
result = yield
track_result.call(result)
set_embedding_result_attributes(span, result)
result
end
end
def instrument_audio_transcription(params)
return yield unless ChatwootApp.otel_enabled?
instrument_with_span(params[:span_name] || 'llm.audio.transcription', params) do |span, track_result|
set_audio_transcription_span_attributes(span, params)
result = yield
track_result.call(result)
set_transcription_result_attributes(span, result)
result
end
end
def instrument_moderation_call(params)
return yield unless ChatwootApp.otel_enabled?
instrument_with_span(params[:span_name] || 'llm.moderation', params) do |span, track_result|
set_moderation_span_attributes(span, params)
result = yield
track_result.call(result)
set_moderation_result_attributes(span, result)
result
end
end
def instrument_with_span(span_name, params, &)
result = nil
executed = false
tracer.in_span(span_name) do |span|
track_result = lambda do |r|
executed = true
result = r
end
yield(span, track_result)
end
rescue StandardError => e
ChatwootExceptionTracker.new(e, account: resolve_account(params)).capture_exception
raise unless executed
result
end
private
def resolve_account(params)
return params[:account] if params[:account].is_a?(Account)
return Account.find_by(id: params[:account_id]) if params[:account_id].present?
nil
end
end