@posthog/ai/lib/openai/index.mjs.map

PostHog Node.js AI integrations

{"version":3,"file":"index.mjs","sources":["../../src/utils.ts","../../src/openai/index.ts"],"sourcesContent":["import { PostHog } from 'posthog-node'\nimport { Buffer } from 'buffer'\nimport OpenAIOrignal from 'openai'\nimport AnthropicOriginal from '@anthropic-ai/sdk'\n\ntype ChatCompletionCreateParamsBase = OpenAIOrignal.Chat.Completions.ChatCompletionCreateParams\ntype MessageCreateParams = AnthropicOriginal.Messages.MessageCreateParams\ntype ResponseCreateParams = OpenAIOrignal.Responses.ResponseCreateParams\n\n// limit large outputs by truncating to 200kb (approx 200k bytes)\nexport const MAX_OUTPUT_SIZE = 200000\nconst STRING_FORMAT = 'utf8'\n\nexport interface MonitoringParams {\n  posthogDistinctId?: string\n  posthogTraceId?: string\n  posthogProperties?: Record<string, any>\n  posthogPrivacyMode?: boolean\n  posthogGroups?: Record<string, any>\n  posthogModelOverride?: string\n  posthogProviderOverride?: string\n  posthogCostOverride?: CostOverride\n  posthogCaptureImmediate?: boolean\n}\n\nexport interface CostOverride {\n  inputCost: number\n  outputCost: number\n}\n\nexport const getModelParams = (\n  params: ((ChatCompletionCreateParamsBase | MessageCreateParams | ResponseCreateParams) & MonitoringParams) | null\n): Record<string, any> => {\n  if (!params) {\n    return {}\n  }\n  const modelParams: Record<string, any> = {}\n  const paramKeys = [\n    'temperature',\n    'max_tokens',\n    'max_completion_tokens',\n    'top_p',\n    'frequency_penalty',\n    'presence_penalty',\n    'n',\n    'stop',\n    'stream',\n    'streaming',\n  ] as const\n\n  for (const key of paramKeys) {\n    if (key in params && (params as any)[key] !== undefined) {\n      modelParams[key] = (params as any)[key]\n    }\n  }\n  return modelParams\n}\n\n/**\n * Helper to format responses (non-streaming) for consumption, mirroring Python's openai vs. anthropic approach.\n */\nexport const formatResponse = (response: any, provider: string): Array<{ role: string; content: string }> => {\n  if (!response) {\n    return []\n  }\n  if (provider === 'anthropic') {\n    return formatResponseAnthropic(response)\n  } else if (provider === 'openai') {\n    return formatResponseOpenAI(response)\n  } else if (provider === 'gemini') {\n    return formatResponseGemini(response)\n  }\n  return []\n}\n\nexport const formatResponseAnthropic = (response: any): Array<{ role: string; content: string }> => {\n  // Example approach if \"response.content\" holds array of text segments, etc.\n  const output: Array<{ role: string; content: string }> = []\n  for (const choice of response.content ?? []) {\n    if (choice?.text) {\n      output.push({\n        role: 'assistant',\n        content: choice.text,\n      })\n    }\n  }\n  return output\n}\n\nexport const formatResponseOpenAI = (response: any): Array<{ role: string; content: string }> => {\n  const output: Array<{ role: string; content: string }> = []\n  for (const choice of response.choices ?? []) {\n    if (choice.message?.content) {\n      output.push({\n        role: choice.message.role,\n        content: choice.message.content,\n      })\n    }\n  }\n  return output\n}\n\nexport const formatResponseGemini = (response: any): Array<{ role: string; content: string }> => {\n  const output: Array<{ role: string; content: string }> = []\n\n  if (response.text) {\n    output.push({\n      role: 'assistant',\n      content: response.text,\n    })\n    return output\n  }\n\n  if (response.candidates && Array.isArray(response.candidates)) {\n    for (const candidate of response.candidates) {\n      if (candidate.content && candidate.content.parts) {\n        const text = candidate.content.parts\n          .filter((part: any) => part.text)\n          .map((part: any) => part.text)\n          .join('')\n        if (text) {\n          output.push({\n            role: 'assistant',\n            content: text,\n          })\n        }\n      }\n    }\n  }\n\n  return output\n}\n\nexport const mergeSystemPrompt = (params: MessageCreateParams & MonitoringParams, provider: string): any => {\n  if (provider == 'anthropic') {\n    const messages = params.messages || []\n    if (!(params as any).system) {\n      return messages\n    }\n    const systemMessage = (params as any).system\n    return [{ role: 'system', content: systemMessage }, ...messages]\n  }\n  return params.messages\n}\n\nexport const withPrivacyMode = (client: PostHog, privacyMode: boolean, input: any): any => {\n  return (client as any).privacy_mode || privacyMode ? null : input\n}\n\nexport const truncate = (str: string): string => {\n  try {\n    const buffer = Buffer.from(str, STRING_FORMAT)\n    if (buffer.length <= MAX_OUTPUT_SIZE) {\n      return str\n    }\n    const truncatedBuffer = buffer.slice(0, MAX_OUTPUT_SIZE)\n    return `${truncatedBuffer.toString(STRING_FORMAT)}... [truncated]`\n  } catch (error) {\n    console.error('Error truncating, likely not a string')\n    return str\n  }\n}\n\nexport type SendEventToPosthogParams = {\n  client: PostHog\n  distinctId?: string\n  traceId: string\n  model: string\n  provider: string\n  input: any\n  output: any\n  latency: number\n  baseURL: string\n  httpStatus: number\n  usage?: {\n    inputTokens?: number\n    outputTokens?: number\n    reasoningTokens?: any\n    cacheReadInputTokens?: any\n    cacheCreationInputTokens?: any\n  }\n  params: (ChatCompletionCreateParamsBase | MessageCreateParams | ResponseCreateParams) & MonitoringParams\n  isError?: boolean\n  error?: string\n  tools?: any\n  captureImmediate?: boolean\n}\n\nfunction sanitizeValues(obj: any): any {\n  if (obj === undefined || obj === null) {\n    return obj\n  }\n  const jsonSafe = JSON.parse(JSON.stringify(obj))\n  if (typeof jsonSafe === 'string') {\n    return Buffer.from(jsonSafe, STRING_FORMAT).toString(STRING_FORMAT)\n  } else if (Array.isArray(jsonSafe)) {\n    return jsonSafe.map(sanitizeValues)\n  } else if (jsonSafe && typeof jsonSafe === 'object') {\n    return Object.fromEntries(Object.entries(jsonSafe).map(([k, v]) => [k, sanitizeValues(v)]))\n  }\n  return jsonSafe\n}\n\nexport const sendEventToPosthog = async ({\n  client,\n  distinctId,\n  traceId,\n  model,\n  provider,\n  input,\n  output,\n  latency,\n  baseURL,\n  params,\n  httpStatus = 200,\n  usage = {},\n  isError = false,\n  error,\n  tools,\n  captureImmediate = false,\n}: SendEventToPosthogParams): Promise<void> => {\n  if (!client.capture) {\n    return Promise.resolve()\n  }\n  // sanitize input and output for UTF-8 validity\n  const safeInput = sanitizeValues(input)\n  const safeOutput = sanitizeValues(output)\n  const safeError = sanitizeValues(error)\n\n  let errorData = {}\n  if (isError) {\n    errorData = {\n      $ai_is_error: true,\n      $ai_error: safeError,\n    }\n  }\n  let costOverrideData = {}\n  if (params.posthogCostOverride) {\n    const inputCostUSD = (params.posthogCostOverride.inputCost ?? 0) * (usage.inputTokens ?? 0)\n    const outputCostUSD = (params.posthogCostOverride.outputCost ?? 0) * (usage.outputTokens ?? 0)\n    costOverrideData = {\n      $ai_input_cost_usd: inputCostUSD,\n      $ai_output_cost_usd: outputCostUSD,\n      $ai_total_cost_usd: inputCostUSD + outputCostUSD,\n    }\n  }\n\n  const additionalTokenValues = {\n    ...(usage.reasoningTokens ? { $ai_reasoning_tokens: usage.reasoningTokens } : {}),\n    ...(usage.cacheReadInputTokens ? { $ai_cache_read_input_tokens: usage.cacheReadInputTokens } : {}),\n    ...(usage.cacheCreationInputTokens ? { $ai_cache_creation_input_tokens: usage.cacheCreationInputTokens } : {}),\n  }\n\n  const properties = {\n    $ai_provider: params.posthogProviderOverride ?? provider,\n    $ai_model: params.posthogModelOverride ?? model,\n    $ai_model_parameters: getModelParams(params),\n    $ai_input: withPrivacyMode(client, params.posthogPrivacyMode ?? false, safeInput),\n    $ai_output_choices: withPrivacyMode(client, params.posthogPrivacyMode ?? false, safeOutput),\n    $ai_http_status: httpStatus,\n    $ai_input_tokens: usage.inputTokens ?? 0,\n    $ai_output_tokens: usage.outputTokens ?? 0,\n    ...additionalTokenValues,\n    $ai_latency: latency,\n    $ai_trace_id: traceId,\n    $ai_base_url: baseURL,\n    ...params.posthogProperties,\n    ...(distinctId ? {} : { $process_person_profile: false }),\n    ...(tools ? { $ai_tools: tools } : {}),\n    ...errorData,\n    ...costOverrideData,\n  }\n\n  const event = {\n    distinctId: distinctId ?? traceId,\n    event: '$ai_generation',\n    properties,\n    groups: params.posthogGroups,\n  }\n\n  if (captureImmediate) {\n    // await capture promise to send single event in serverless environments\n    await client.captureImmediate(event)\n  } else {\n    client.capture(event)\n  }\n}\n","import OpenAIOrignal, { ClientOptions } from 'openai'\nimport { PostHog } from 'posthog-node'\nimport { v4 as uuidv4 } from 'uuid'\nimport { formatResponseOpenAI, MonitoringParams, sendEventToPosthog } from '../utils'\nimport type { APIPromise } from 'openai'\nimport type { Stream } from 'openai/streaming'\nimport type { ParsedResponse } from 'openai/resources/responses/responses'\n\ntype ChatCompletion = OpenAIOrignal.ChatCompletion\ntype ChatCompletionChunk = OpenAIOrignal.ChatCompletionChunk\ntype ChatCompletionCreateParamsBase = OpenAIOrignal.Chat.Completions.ChatCompletionCreateParams\ntype ChatCompletionCreateParamsNonStreaming = OpenAIOrignal.Chat.Completions.ChatCompletionCreateParamsNonStreaming\ntype ChatCompletionCreateParamsStreaming = OpenAIOrignal.Chat.Completions.ChatCompletionCreateParamsStreaming\ntype ResponsesCreateParamsBase = OpenAIOrignal.Responses.ResponseCreateParams\ntype ResponsesCreateParamsNonStreaming = OpenAIOrignal.Responses.ResponseCreateParamsNonStreaming\ntype ResponsesCreateParamsStreaming = OpenAIOrignal.Responses.ResponseCreateParamsStreaming\n\ninterface MonitoringOpenAIConfig extends ClientOptions {\n  apiKey: string\n  posthog: PostHog\n  baseURL?: string\n}\n\ntype RequestOptions = Record<string, any>\n\nexport class PostHogOpenAI extends OpenAIOrignal {\n  private readonly phClient: PostHog\n  public chat: WrappedChat\n  public responses: WrappedResponses\n\n  constructor(config: MonitoringOpenAIConfig) {\n    const { posthog, ...openAIConfig } = config\n    super(openAIConfig)\n    this.phClient = posthog\n    this.chat = new WrappedChat(this, this.phClient)\n    this.responses = new WrappedResponses(this, this.phClient)\n  }\n}\n\nexport class WrappedChat extends OpenAIOrignal.Chat {\n  constructor(parentClient: PostHogOpenAI, phClient: PostHog) {\n    super(parentClient)\n    this.completions = new WrappedCompletions(parentClient, phClient)\n  }\n\n  public completions: WrappedCompletions\n}\n\nexport class WrappedCompletions extends OpenAIOrignal.Chat.Completions {\n  private readonly phClient: PostHog\n\n  constructor(client: OpenAIOrignal, phClient: PostHog) {\n    super(client)\n    this.phClient = phClient\n  }\n\n  // --- Overload #1: Non-streaming\n  public create(\n    body: ChatCompletionCreateParamsNonStreaming & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<ChatCompletion>\n\n  // --- Overload #2: Streaming\n  public create(\n    body: ChatCompletionCreateParamsStreaming & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<Stream<ChatCompletionChunk>>\n\n  // --- Overload #3: Generic base\n  public create(\n    body: ChatCompletionCreateParamsBase & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<ChatCompletion | Stream<ChatCompletionChunk>>\n\n  // --- Implementation Signature\n  public create(\n    body: ChatCompletionCreateParamsBase & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<ChatCompletion | Stream<ChatCompletionChunk>> {\n    const {\n      posthogDistinctId,\n      posthogTraceId,\n      posthogProperties,\n      // eslint-disable-next-line @typescript-eslint/no-unused-vars\n      posthogPrivacyMode = false,\n      posthogGroups,\n      posthogCaptureImmediate,\n      ...openAIParams\n    } = body\n\n    const traceId = posthogTraceId ?? uuidv4()\n    const startTime = Date.now()\n\n    const parentPromise = super.create(openAIParams, options)\n\n    if (openAIParams.stream) {\n      return parentPromise.then((value) => {\n        if ('tee' in value) {\n          const [stream1, stream2] = value.tee()\n          ;(async () => {\n            try {\n              let accumulatedContent = ''\n              let usage: {\n                inputTokens?: number\n                outputTokens?: number\n                reasoningTokens?: number\n                cacheReadInputTokens?: number\n              } = {\n                inputTokens: 0,\n                outputTokens: 0,\n              }\n\n              for await (const chunk of stream1) {\n                const delta = chunk?.choices?.[0]?.delta?.content ?? ''\n                accumulatedContent += delta\n                if (chunk.usage) {\n                  usage = {\n                    inputTokens: chunk.usage.prompt_tokens ?? 0,\n                    outputTokens: chunk.usage.completion_tokens ?? 0,\n                    reasoningTokens: chunk.usage.completion_tokens_details?.reasoning_tokens ?? 0,\n                    cacheReadInputTokens: chunk.usage.prompt_tokens_details?.cached_tokens ?? 0,\n                  }\n                }\n              }\n\n              const latency = (Date.now() - startTime) / 1000\n              await sendEventToPosthog({\n                client: this.phClient,\n                distinctId: posthogDistinctId ?? traceId,\n                traceId,\n                model: openAIParams.model,\n                provider: 'openai',\n                input: openAIParams.messages,\n                output: [{ content: accumulatedContent, role: 'assistant' }],\n                latency,\n                baseURL: (this as any).baseURL ?? '',\n                params: body,\n                httpStatus: 200,\n                usage,\n                captureImmediate: posthogCaptureImmediate,\n              })\n            } catch (error: any) {\n              await sendEventToPosthog({\n                client: this.phClient,\n                distinctId: posthogDistinctId ?? traceId,\n                traceId,\n                model: openAIParams.model,\n                provider: 'openai',\n                input: openAIParams.messages,\n                output: [],\n                latency: 0,\n                baseURL: (this as any).baseURL ?? '',\n                params: body,\n                httpStatus: error?.status ? error.status : 500,\n                usage: { inputTokens: 0, outputTokens: 0 },\n                isError: true,\n                error: JSON.stringify(error),\n                captureImmediate: posthogCaptureImmediate,\n              })\n            }\n          })()\n\n          // Return the other stream to the user\n          return stream2\n        }\n        return value\n      }) as APIPromise<Stream<ChatCompletionChunk>>\n    } else {\n      const wrappedPromise = parentPromise.then(\n        async (result) => {\n          if ('choices' in result) {\n            const latency = (Date.now() - startTime) / 1000\n            await sendEventToPosthog({\n              client: this.phClient,\n              distinctId: posthogDistinctId ?? traceId,\n              traceId,\n              model: openAIParams.model,\n              provider: 'openai',\n              input: openAIParams.messages,\n              output: formatResponseOpenAI(result),\n              latency,\n              baseURL: (this as any).baseURL ?? '',\n              params: body,\n              httpStatus: 200,\n              usage: {\n                inputTokens: result.usage?.prompt_tokens ?? 0,\n                outputTokens: result.usage?.completion_tokens ?? 0,\n                reasoningTokens: result.usage?.completion_tokens_details?.reasoning_tokens ?? 0,\n                cacheReadInputTokens: result.usage?.prompt_tokens_details?.cached_tokens ?? 0,\n              },\n              captureImmediate: posthogCaptureImmediate,\n            })\n          }\n          return result\n        },\n        async (error: any) => {\n          await sendEventToPosthog({\n            client: this.phClient,\n            distinctId: posthogDistinctId ?? traceId,\n            traceId,\n            model: openAIParams.model,\n            provider: 'openai',\n            input: openAIParams.messages,\n            output: [],\n            latency: 0,\n            baseURL: (this as any).baseURL ?? '',\n            params: body,\n            httpStatus: error?.status ? error.status : 500,\n            usage: {\n              inputTokens: 0,\n              outputTokens: 0,\n            },\n            isError: true,\n            error: JSON.stringify(error),\n            captureImmediate: posthogCaptureImmediate,\n          })\n          throw error\n        }\n      ) as APIPromise<ChatCompletion>\n\n      return wrappedPromise\n    }\n  }\n}\n\nexport class WrappedResponses extends OpenAIOrignal.Responses {\n  private readonly phClient: PostHog\n\n  constructor(client: OpenAIOrignal, phClient: PostHog) {\n    super(client)\n    this.phClient = phClient\n  }\n\n  // --- Overload #1: Non-streaming\n  public create(\n    body: ResponsesCreateParamsNonStreaming & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<OpenAIOrignal.Responses.Response>\n\n  // --- Overload #2: Streaming\n  public create(\n    body: ResponsesCreateParamsStreaming & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<Stream<OpenAIOrignal.Responses.ResponseStreamEvent>>\n\n  // --- Overload #3: Generic base\n  public create(\n    body: ResponsesCreateParamsBase & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<OpenAIOrignal.Responses.Response | Stream<OpenAIOrignal.Responses.ResponseStreamEvent>>\n\n  // --- Implementation Signature\n  public create(\n    body: ResponsesCreateParamsBase & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<OpenAIOrignal.Responses.Response | Stream<OpenAIOrignal.Responses.ResponseStreamEvent>> {\n    const {\n      posthogDistinctId,\n      posthogTraceId,\n      posthogProperties,\n      // eslint-disable-next-line @typescript-eslint/no-unused-vars\n      posthogPrivacyMode = false,\n      posthogGroups,\n      posthogCaptureImmediate,\n      ...openAIParams\n    } = body\n\n    const traceId = posthogTraceId ?? uuidv4()\n    const startTime = Date.now()\n\n    const parentPromise = super.create(openAIParams, options)\n\n    if (openAIParams.stream) {\n      return parentPromise.then((value) => {\n        if ('tee' in value && typeof (value as any).tee === 'function') {\n          const [stream1, stream2] = (value as any).tee()\n          ;(async () => {\n            try {\n              let finalContent: any[] = []\n              let usage: {\n                inputTokens?: number\n                outputTokens?: number\n                reasoningTokens?: number\n                cacheReadInputTokens?: number\n              } = {\n                inputTokens: 0,\n                outputTokens: 0,\n              }\n\n              for await (const chunk of stream1) {\n                if (\n                  chunk.type === 'response.completed' &&\n                  'response' in chunk &&\n                  chunk.response?.output &&\n                  chunk.response.output.length > 0\n                ) {\n                  finalContent = chunk.response.output\n                }\n                if ('response' in chunk && chunk.response?.usage) {\n                  usage = {\n                    inputTokens: chunk.response.usage.input_tokens ?? 0,\n                    outputTokens: chunk.response.usage.output_tokens ?? 0,\n                    reasoningTokens: chunk.response.usage.output_tokens_details?.reasoning_tokens ?? 0,\n                    cacheReadInputTokens: chunk.response.usage.input_tokens_details?.cached_tokens ?? 0,\n                  }\n                }\n              }\n\n              const latency = (Date.now() - startTime) / 1000\n              await sendEventToPosthog({\n                client: this.phClient,\n                distinctId: posthogDistinctId ?? traceId,\n                traceId,\n                model: openAIParams.model,\n                provider: 'openai',\n                input: openAIParams.input,\n                output: finalContent,\n                latency,\n                baseURL: (this as any).baseURL ?? '',\n                params: body,\n                httpStatus: 200,\n                usage,\n                captureImmediate: posthogCaptureImmediate,\n              })\n            } catch (error: any) {\n              await sendEventToPosthog({\n                client: this.phClient,\n                distinctId: posthogDistinctId ?? traceId,\n                traceId,\n                model: openAIParams.model,\n                provider: 'openai',\n                input: openAIParams.input,\n                output: [],\n                latency: 0,\n                baseURL: (this as any).baseURL ?? '',\n                params: body,\n                httpStatus: error?.status ? error.status : 500,\n                usage: { inputTokens: 0, outputTokens: 0 },\n                isError: true,\n                error: JSON.stringify(error),\n                captureImmediate: posthogCaptureImmediate,\n              })\n            }\n          })()\n\n          return stream2\n        }\n        return value\n      }) as APIPromise<Stream<OpenAIOrignal.Responses.ResponseStreamEvent>>\n    } else {\n      const wrappedPromise = parentPromise.then(\n        async (result) => {\n          if ('output' in result) {\n            const latency = (Date.now() - startTime) / 1000\n            await sendEventToPosthog({\n              client: this.phClient,\n              distinctId: posthogDistinctId ?? traceId,\n              traceId,\n              model: openAIParams.model,\n              provider: 'openai',\n              input: openAIParams.input,\n              output: result.output,\n              latency,\n              baseURL: (this as any).baseURL ?? '',\n              params: body,\n              httpStatus: 200,\n              usage: {\n                inputTokens: result.usage?.input_tokens ?? 0,\n                outputTokens: result.usage?.output_tokens ?? 0,\n                reasoningTokens: result.usage?.output_tokens_details?.reasoning_tokens ?? 0,\n                cacheReadInputTokens: result.usage?.input_tokens_details?.cached_tokens ?? 0,\n              },\n              captureImmediate: posthogCaptureImmediate,\n            })\n          }\n          return result\n        },\n        async (error: any) => {\n          await sendEventToPosthog({\n            client: this.phClient,\n            distinctId: posthogDistinctId ?? traceId,\n            traceId,\n            model: openAIParams.model,\n            provider: 'openai',\n            input: openAIParams.input,\n            output: [],\n            latency: 0,\n            baseURL: (this as any).baseURL ?? '',\n            params: body,\n            httpStatus: error?.status ? error.status : 500,\n            usage: {\n              inputTokens: 0,\n              outputTokens: 0,\n            },\n            isError: true,\n            error: JSON.stringify(error),\n            captureImmediate: posthogCaptureImmediate,\n          })\n          throw error\n        }\n      ) as APIPromise<OpenAIOrignal.Responses.Response>\n\n      return wrappedPromise\n    }\n  }\n\n  public parse<Params extends ResponsesCreateParamsBase, ParsedT = any>(\n    body: Params & MonitoringParams,\n    options?: RequestOptions\n  ): APIPromise<ParsedResponse<ParsedT>> {\n    const {\n      posthogDistinctId,\n      posthogTraceId,\n      posthogProperties,\n      // eslint-disable-next-line @typescript-eslint/no-unused-vars\n      posthogPrivacyMode = false,\n      posthogGroups,\n      posthogCaptureImmediate,\n      ...openAIParams\n    } = body\n\n    const traceId = posthogTraceId ?? uuidv4()\n    const startTime = Date.now()\n\n    // Create a temporary instance that bypasses our wrapped create method\n    const originalCreate = super.create.bind(this)\n    const originalSelf = this as any\n    const tempCreate = originalSelf.create\n    originalSelf.create = originalCreate\n\n    try {\n      const parentPromise = super.parse(openAIParams, options)\n\n      const wrappedPromise = parentPromise.then(\n        async (result) => {\n          const latency = (Date.now() - startTime) / 1000\n          await sendEventToPosthog({\n            client: this.phClient,\n            distinctId: posthogDistinctId ?? traceId,\n            traceId,\n            model: openAIParams.model,\n            provider: 'openai',\n            input: openAIParams.input,\n            output: result.output,\n            latency,\n            baseURL: (this as any).baseURL ?? '',\n            params: body,\n            httpStatus: 200,\n            usage: {\n              inputTokens: result.usage?.input_tokens ?? 0,\n              outputTokens: result.usage?.output_tokens ?? 0,\n              reasoningTokens: result.usage?.output_tokens_details?.reasoning_tokens ?? 0,\n              cacheReadInputTokens: result.usage?.input_tokens_details?.cached_tokens ?? 0,\n            },\n            captureImmediate: posthogCaptureImmediate,\n          })\n          return result\n        },\n        async (error: any) => {\n          await sendEventToPosthog({\n            client: this.phClient,\n            distinctId: posthogDistinctId ?? traceId,\n            traceId,\n            model: openAIParams.model,\n            provider: 'openai',\n            input: openAIParams.input,\n            output: [],\n            latency: 0,\n            baseURL: (this as any).baseURL ?? '',\n            params: body,\n            httpStatus: error?.status ? error.status : 500,\n            usage: {\n              inputTokens: 0,\n              outputTokens: 0,\n            },\n            isError: true,\n            error: JSON.stringify(error),\n            captureImmediate: posthogCaptureImmediate,\n          })\n          throw error\n        }\n      )\n\n      return wrappedPromise as APIPromise<ParsedResponse<ParsedT>>\n    } finally {\n      // Restore our wrapped create method\n      originalSelf.create = tempCreate\n    }\n  }\n}\n\nexport default PostHogOpenAI\n\nexport { PostHogOpenAI as OpenAI 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