@genkit-ai/google-cloud/lib/telemetry/generate.mjs.map

Genkit AI framework plugin for Google Cloud Platform including Firestore trace/state store and deployment helpers for Cloud Functions for Firebase.

{"version":3,"sources":["../../src/telemetry/generate.ts"],"sourcesContent":["/**\n * Copyright 2024 Google LLC\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n *     http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\nimport { ValueType } from '@opentelemetry/api';\nimport type { ReadableSpan } from '@opentelemetry/sdk-trace-base';\nimport { createHash } from 'crypto';\nimport {\n  GENKIT_VERSION,\n  type GenerateRequestData,\n  type GenerateResponseData,\n  type GenerationUsage,\n  type MediaPart,\n  type Part,\n  type ToolRequestPart,\n  type ToolResponsePart,\n} from 'genkit';\nimport { logger } from 'genkit/logging';\nimport { toDisplayPath } from 'genkit/tracing';\nimport {\n  MetricCounter,\n  MetricHistogram,\n  internalMetricNamespaceWrap,\n  type Telemetry,\n} from '../metrics.js';\nimport {\n  createCommonLogAttributes,\n  extractErrorName,\n  extractOuterFeatureNameFromPath,\n  truncate,\n  truncatePath,\n} from '../utils.js';\n\ntype SharedDimensions = {\n  modelName?: string;\n  featureName?: string;\n  path?: string;\n  status?: string;\n  source?: string;\n  sourceVersion?: string;\n};\n\nclass GenerateTelemetry implements Telemetry {\n  /**\n   * Wraps the declared metrics in a Genkit-specific, internal namespace.\n   */\n  private _N = internalMetricNamespaceWrap.bind(null, 'ai');\n\n  private actionCounter = new MetricCounter(this._N('generate/requests'), {\n    description: 'Counts calls to genkit generate actions.',\n    valueType: ValueType.INT,\n  });\n\n  private latencies = new MetricHistogram(this._N('generate/latency'), {\n    description: 'Latencies when interacting with a Genkit model.',\n    valueType: ValueType.DOUBLE,\n    unit: 'ms',\n  });\n\n  private inputCharacters = new MetricCounter(\n    this._N('generate/input/characters'),\n    {\n      description: 'Counts input characters to any Genkit model.',\n      valueType: ValueType.INT,\n    }\n  );\n\n  private inputTokens = new MetricCounter(this._N('generate/input/tokens'), {\n    description: 'Counts input tokens to a Genkit model.',\n    valueType: ValueType.INT,\n  });\n\n  private inputImages = new MetricCounter(this._N('generate/input/images'), {\n    description: 'Counts input images to a Genkit model.',\n    valueType: ValueType.INT,\n  });\n\n  private outputCharacters = new MetricCounter(\n    this._N('generate/output/characters'),\n    {\n      description: 'Counts output characters from a Genkit model.',\n      valueType: ValueType.INT,\n    }\n  );\n\n  private outputTokens = new MetricCounter(this._N('generate/output/tokens'), {\n    description: 'Counts output tokens from a Genkit model.',\n    valueType: ValueType.INT,\n  });\n\n  private thinkingTokens = new MetricCounter(\n    this._N('generate/thinking/tokens'),\n    {\n      description: 'Counts thinking tokens from a Genkit model.',\n      valueType: ValueType.INT,\n    }\n  );\n\n  private outputImages = new MetricCounter(this._N('generate/output/images'), {\n    description: 'Count output images from a Genkit model.',\n    valueType: ValueType.INT,\n  });\n\n  tick(\n    span: ReadableSpan,\n    logInputAndOutput: boolean,\n    projectId?: string\n  ): void {\n    const attributes = span.attributes;\n    const modelName = truncate(attributes['genkit:name'] as string, 1024);\n    const path = (attributes['genkit:path'] as string) || '';\n    const input =\n      'genkit:input' in attributes\n        ? (JSON.parse(\n            attributes['genkit:input']! as string\n          ) as GenerateRequestData)\n        : undefined;\n    const output =\n      'genkit:output' in attributes\n        ? (JSON.parse(\n            attributes['genkit:output']! as string\n          ) as GenerateResponseData)\n        : undefined;\n\n    const errName = extractErrorName(span.events);\n    let featureName = truncate(\n      (attributes['genkit:metadata:flow:name'] ||\n        extractOuterFeatureNameFromPath(path)) as string\n    );\n    if (!featureName || featureName === '<unknown>') {\n      featureName = 'generate';\n    }\n\n    const sessionId = attributes['genkit:sessionId'] as string;\n    const threadName = attributes['genkit:threadName'] as string;\n\n    if (input) {\n      this.recordGenerateActionMetrics(modelName, featureName, path, {\n        response: output,\n        errName,\n      });\n      this.recordGenerateActionConfigLogs(\n        span,\n        modelName,\n        featureName,\n        path,\n        input,\n        projectId,\n        sessionId,\n        threadName\n      );\n\n      if (logInputAndOutput) {\n        this.recordGenerateActionInputLogs(\n          span,\n          modelName,\n          featureName,\n          path,\n          input,\n          projectId,\n          sessionId,\n          threadName\n        );\n      }\n    }\n\n    if (output && logInputAndOutput) {\n      this.recordGenerateActionOutputLogs(\n        span,\n        modelName,\n        featureName,\n        path,\n        output,\n        projectId,\n        sessionId,\n        threadName\n      );\n    }\n  }\n\n  private recordGenerateActionMetrics(\n    modelName: string,\n    featureName: string,\n    path: string,\n    opts: {\n      response?: GenerateResponseData;\n      errName?: string;\n    }\n  ) {\n    this.doRecordGenerateActionMetrics(modelName, opts.response?.usage || {}, {\n      featureName,\n      path,\n      latencyMs: opts.response?.latencyMs,\n      errName: opts.errName,\n      source: 'ts',\n      sourceVersion: GENKIT_VERSION,\n    });\n  }\n\n  private recordGenerateActionConfigLogs(\n    span: ReadableSpan,\n    model: string,\n    featureName: string,\n    qualifiedPath: string,\n    input: GenerateRequestData,\n    projectId?: string,\n    sessionId?: string,\n    threadName?: string\n  ) {\n    const path = truncatePath(toDisplayPath(qualifiedPath));\n    const sharedMetadata = {\n      ...createCommonLogAttributes(span, projectId),\n      model,\n      path,\n      qualifiedPath,\n      featureName,\n      sessionId,\n      threadName,\n    };\n    logger.logStructured(`Config[${path}, ${model}]`, {\n      ...sharedMetadata,\n      maxOutputTokens: input.config?.maxOutputTokens,\n      stopSequences: input.config?.stopSequences, // array\n      source: 'ts',\n      sourceVersion: GENKIT_VERSION,\n    });\n  }\n\n  private recordGenerateActionInputLogs(\n    span: ReadableSpan,\n    model: string,\n    featureName: string,\n    qualifiedPath: string,\n    input: GenerateRequestData,\n    projectId?: string,\n    sessionId?: string,\n    threadName?: string\n  ) {\n    const path = truncatePath(toDisplayPath(qualifiedPath));\n    const sharedMetadata = {\n      ...createCommonLogAttributes(span, projectId),\n      model,\n      path,\n      qualifiedPath,\n      featureName,\n      sessionId,\n      threadName,\n    };\n\n    const messages = input.messages.length;\n    input.messages.forEach((msg, msgIdx) => {\n      const parts = msg.content.length;\n      msg.content.forEach((part, partIdx) => {\n        const partCounts = this.toPartCounts(partIdx, parts, msgIdx, messages);\n        logger.logStructured(`Input[${path}, ${model}] ${partCounts}`, {\n          ...sharedMetadata,\n          content: this.toPartLogContent(part),\n          role: msg.role,\n          partIndex: partIdx,\n          totalParts: parts,\n          messageIndex: msgIdx,\n          totalMessages: messages,\n        });\n      });\n    });\n  }\n\n  private recordGenerateActionOutputLogs(\n    span: ReadableSpan,\n    model: string,\n    featureName: string,\n    qualifiedPath: string,\n    output: GenerateResponseData,\n    projectId?: string,\n    sessionId?: string,\n    threadName?: string\n  ) {\n    const path = truncatePath(toDisplayPath(qualifiedPath));\n    const sharedMetadata = {\n      ...createCommonLogAttributes(span, projectId),\n      model,\n      path,\n      qualifiedPath,\n      featureName,\n      sessionId,\n      threadName,\n    };\n    const message = output.message || output.candidates?.[0]?.message!;\n\n    if (message?.content) {\n      const parts = message.content.length;\n      message.content.forEach((part, partIdx) => {\n        const partCounts = this.toPartCounts(partIdx, parts, 0, 1);\n        const initial = output.finishMessage\n          ? { finishMessage: truncate(output.finishMessage) }\n          : {};\n        logger.logStructured(`Output[${path}, ${model}] ${partCounts}`, {\n          ...initial,\n          ...sharedMetadata,\n          content: this.toPartLogContent(part),\n          role: message.role,\n          partIndex: partIdx,\n          totalParts: parts,\n          candidateIndex: 0,\n          totalCandidates: 1,\n          messageIndex: 0,\n          finishReason: output.finishReason,\n        });\n      });\n    }\n  }\n\n  private toPartCounts(\n    partOrdinal: number,\n    parts: number,\n    msgOrdinal: number,\n    messages: number\n  ): string {\n    if (parts > 1 && messages > 1) {\n      return `(part ${this.xOfY(partOrdinal, parts)} in message ${this.xOfY(\n        msgOrdinal,\n        messages\n      )})`;\n    }\n    if (parts > 1) {\n      return `(part ${this.xOfY(partOrdinal, parts)})`;\n    }\n    if (messages > 1) {\n      return `(message ${this.xOfY(msgOrdinal, messages)})`;\n    }\n    return '';\n  }\n\n  private xOfY(x: number, y: number): string {\n    return `${x + 1} of ${y}`;\n  }\n\n  private toPartLogContent(part: Part): string {\n    if (part.text) {\n      return truncate(part.text);\n    }\n    if (part.data) {\n      return truncate(JSON.stringify(part.data));\n    }\n    if (part.media) {\n      return this.toPartLogMedia(part);\n    }\n    if (part.toolRequest) {\n      return this.toPartLogToolRequest(part);\n    }\n    if (part.toolResponse) {\n      return this.toPartLogToolResponse(part);\n    }\n    if (part.custom) {\n      return truncate(JSON.stringify(part.custom));\n    }\n    return '<unknown format>';\n  }\n\n  private toPartLogMedia(part: MediaPart): string {\n    if (part.media.url.startsWith('data:')) {\n      const splitIdx = part.media.url.indexOf('base64,');\n      if (splitIdx < 0) {\n        return '<unknown media format>';\n      }\n      const prefix = part.media.url.substring(0, splitIdx + 7);\n      const hashedContent = createHash('sha256')\n        .update(part.media.url.substring(splitIdx + 7))\n        .digest('hex');\n      return `${prefix}<sha256(${hashedContent})>`;\n    }\n    return truncate(part.media.url);\n  }\n\n  private toPartLogToolRequest(part: ToolRequestPart): string {\n    const inputText =\n      typeof part.toolRequest.input === 'string'\n        ? part.toolRequest.input\n        : JSON.stringify(part.toolRequest.input);\n    return truncate(\n      `Tool request: ${part.toolRequest.name}, ref: ${part.toolRequest.ref}, input: ${inputText}`\n    );\n  }\n\n  private toPartLogToolResponse(part: ToolResponsePart): string {\n    const outputText =\n      typeof part.toolResponse.output === 'string'\n        ? part.toolResponse.output\n        : JSON.stringify(part.toolResponse.output);\n    return truncate(\n      `Tool response: ${part.toolResponse.name}, ref: ${part.toolResponse.ref}, output: ${outputText}`\n    );\n  }\n\n  /**\n   * Records all metrics associated with performing a GenerateAction.\n   */\n  private doRecordGenerateActionMetrics(\n    modelName: string,\n    usage: GenerationUsage,\n    dimensions: {\n      featureName?: string;\n      path?: string;\n      latencyMs?: number;\n      errName?: string;\n      source?: string;\n      sourceVersion: string;\n    }\n  ) {\n    const shared: SharedDimensions = {\n      modelName: modelName,\n      featureName: dimensions.featureName,\n      path: dimensions.path,\n      source: dimensions.source,\n      sourceVersion: dimensions.sourceVersion,\n      status: dimensions.errName ? 'failure' : 'success',\n    };\n\n    this.actionCounter.add(1, {\n      error: dimensions.errName,\n      ...shared,\n    });\n\n    this.latencies.record(dimensions.latencyMs, shared);\n\n    // inputs\n    this.inputTokens.add(usage.inputTokens, shared);\n    this.inputCharacters.add(usage.inputCharacters, shared);\n    this.inputImages.add(usage.inputImages, shared);\n\n    // outputs\n    this.outputTokens.add(usage.outputTokens, shared);\n    this.outputCharacters.add(usage.outputCharacters, shared);\n    this.outputImages.add(usage.outputImages, shared);\n\n    // thoughts\n    this.thinkingTokens.add(usage.thoughtsTokens, shared);\n  }\n}\n\nconst generateTelemetry = new GenerateTelemetry();\nexport { generateTelemetry 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