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