{"version":3,"file":"index.cjs","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\n posthogPrivacyMode?: boolean\n posthogGroups?: Record\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 => {\n if (!params) {\n return {}\n }\n const modelParams: Record = {}\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 => {\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\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\n\n // --- Overload #2: Streaming\n public create(\n body: ChatCompletionCreateParamsStreaming & MonitoringParams,\n options?: RequestOptions\n ): APIPromise>\n\n // --- Overload #3: Generic base\n public create(\n body: ChatCompletionCreateParamsBase & MonitoringParams,\n options?: RequestOptions\n ): APIPromise>\n\n // --- Implementation Signature\n public create(\n body: ChatCompletionCreateParamsBase & MonitoringParams,\n options?: RequestOptions\n ): APIPromise> {\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>\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\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\n\n // --- Overload #2: Streaming\n public create(\n body: ResponsesCreateParamsStreaming & MonitoringParams,\n options?: RequestOptions\n ): APIPromise>\n\n // --- Overload #3: Generic base\n public create(\n body: ResponsesCreateParamsBase & MonitoringParams,\n options?: RequestOptions\n ): APIPromise>\n\n // --- Implementation Signature\n public create(\n body: ResponsesCreateParamsBase & MonitoringParams,\n options?: RequestOptions\n ): APIPromise> {\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>\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\n\n return wrappedPromise\n }\n }\n\n public parse(\n body: Params & MonitoringParams,\n options?: RequestOptions\n ): APIPromise> {\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>\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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