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Fix/langfuse trace usage cost #5628

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e594a53
fix(analytics/langfuse): include tokens and model in generation paylo…
vellanki-santhosh Jan 11, 2026
b8ee512
Fix: Include usage metadata in langfuse trace on LLM error
vellanki-santhosh Jan 11, 2026
7d9a0e0
Merge branch 'main' into fix/langfuse-trace-usage-cost
vellanki-santhosh Jan 12, 2026
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19 changes: 17 additions & 2 deletions packages/components/nodes/agentflow/Agent/Agent.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -1378,9 +1378,24 @@ class Agent_Agentflow implements INode {
isStructuredOutput
)

// End analytics tracking
// End analytics tracking (send full output for usage/cost)
if (analyticHandlers && llmIds) {
await analyticHandlers.onLLMEnd(llmIds, finalResponse)
const outputObj = this.prepareOutputObject(
response,
availableTools,
finalResponse,
startTime,
endTime,
timeDelta,
usedTools,
sourceDocuments,
artifacts,
additionalTokens,
isWaitingForHumanInput ?? false,
fileAnnotations,
isStructuredOutput
)
await analyticHandlers.onLLMEnd(llmIds, outputObj)
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}

// Send additional streaming events if needed
Expand Down
12 changes: 7 additions & 5 deletions packages/components/nodes/agentflow/ConditionAgent/ConditionAgent.ts
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Expand Up @@ -376,12 +376,14 @@ class ConditionAgent_Agentflow implements INode {
const endTime = Date.now()
const timeDelta = endTime - startTime

// End analytics tracking
// End analytics tracking (pass usage metadata if present)
if (analyticHandlers && llmIds) {
await analyticHandlers.onLLMEnd(
llmIds,
typeof response.content === 'string' ? response.content : JSON.stringify(response.content)
)
const outputObj: any = {
content: typeof response.content === 'string' ? response.content : JSON.stringify(response.content)
}
if (response.usage_metadata) outputObj.usageMetadata = response.usage_metadata
if (response.response_metadata) outputObj.responseMetadata = response.response_metadata
await analyticHandlers.onLLMEnd(llmIds, outputObj)
}

let calledOutputName: string
Expand Down
4 changes: 2 additions & 2 deletions packages/components/nodes/agentflow/LLM/LLM.ts
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Expand Up @@ -574,9 +574,9 @@ class LLM_Agentflow implements INode {
fileAnnotations
)

// End analytics tracking
// End analytics tracking (send full output for usage/cost)
if (analyticHandlers && llmIds) {
await analyticHandlers.onLLMEnd(llmIds, finalResponse)
await analyticHandlers.onLLMEnd(llmIds, output)
}

// Send additional streaming events if needed
Expand Down
62 changes: 55 additions & 7 deletions packages/components/src/handler.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -1400,7 +1400,7 @@ export class AnalyticHandler {
return returnIds
}

async onLLMEnd(returnIds: ICommonObject, output: string) {
async onLLMEnd(returnIds: ICommonObject, output: any) {
if (Object.prototype.hasOwnProperty.call(this.handlers, 'langSmith')) {
const llmRun: RunTree | undefined = this.handlers['langSmith'].llmRun[returnIds['langSmith'].llmRun]
if (llmRun) {
Expand All @@ -1416,9 +1416,33 @@ export class AnalyticHandler {
if (Object.prototype.hasOwnProperty.call(this.handlers, 'langFuse')) {
const generation: LangfuseGenerationClient | undefined = this.handlers['langFuse'].generation[returnIds['langFuse'].generation]
if (generation) {
generation.end({
output: output
})
let outputText: string = ''
let usage: { promptTokens?: number; completionTokens?: number; totalTokens?: number } | undefined
let model: string | undefined

if (typeof output === 'string') {
outputText = output
} else if (output && typeof output === 'object') {
outputText = typeof output.content === 'string' ? output.content : tryJsonStringify(output, '[output]')
const usageMetadata = output.usageMetadata || output.usage_metadata
if (usageMetadata) {
usage = {
promptTokens: usageMetadata.input_tokens ?? usageMetadata.prompt_tokens ?? undefined,
completionTokens: usageMetadata.output_tokens ?? usageMetadata.completion_tokens ?? undefined,
totalTokens: usageMetadata.total_tokens ?? undefined
}
}
const responseMetadata = output.responseMetadata || output.response_metadata
if (responseMetadata) {
model = responseMetadata.model || responseMetadata.model_name || responseMetadata.modelId || undefined
}
}

const payload: any = { output: outputText }
if (usage && (usage.promptTokens || usage.completionTokens || usage.totalTokens)) payload.usage = usage
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if (model) payload.model = model

generation.end(payload)
}
}

Expand Down Expand Up @@ -1490,9 +1514,33 @@ export class AnalyticHandler {
if (Object.prototype.hasOwnProperty.call(this.handlers, 'langFuse')) {
const generation: LangfuseGenerationClient | undefined = this.handlers['langFuse'].generation[returnIds['langFuse'].generation]
if (generation) {
generation.end({
output: error
})
let errorText: string = ''
let usage: { promptTokens?: number; completionTokens?: number; totalTokens?: number } | undefined
let model: string | undefined

if (typeof error === 'string') {
errorText = error
} else if (error && typeof error === 'object') {
errorText = typeof error.message === 'string' ? error.message : tryJsonStringify(error, '[error]')
const usageMetadata = (error as any).usageMetadata || (error as any).usage_metadata
if (usageMetadata) {
usage = {
promptTokens: usageMetadata.input_tokens ?? usageMetadata.prompt_tokens ?? undefined,
completionTokens: usageMetadata.output_tokens ?? usageMetadata.completion_tokens ?? undefined,
totalTokens: usageMetadata.total_tokens ?? undefined
}
}
const responseMetadata = (error as any).responseMetadata || (error as any).response_metadata
if (responseMetadata) {
model = responseMetadata.model || responseMetadata.model_name || responseMetadata.modelId || undefined
}
}

const payload: any = { output: errorText, level: 'ERROR' }
if (usage && (usage.promptTokens || usage.completionTokens || usage.totalTokens)) payload.usage = usage
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if (model) payload.model = model

generation.end(payload)
}
}

Expand Down