DMleadgen
46d973904b
Next.js website for Rocky Mountain Vending company featuring: - Product catalog with Stripe integration - Service areas and parts pages - Admin dashboard with Clerk authentication - SEO optimized pages with JSON-LD structured data Co-authored-by: Cursor <cursoragent@cursor.com>
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{"version":3,"file":"vercel-ai.js","sources":["../../../src/utils/vercel-ai.ts"],"sourcesContent":["import type { Client } from '../client';\nimport { SEMANTIC_ATTRIBUTE_SENTRY_OP, SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN } from '../semanticAttributes';\nimport type { Event } from '../types-hoist/event';\nimport type { Span, SpanAttributes, SpanAttributeValue, SpanJSON, SpanOrigin } from '../types-hoist/span';\nimport { spanToJSON } from './spanUtils';\nimport type { ProviderMetadata } from './vercel-ai-attributes';\nimport {\n AI_MODEL_ID_ATTRIBUTE,\n AI_MODEL_PROVIDER_ATTRIBUTE,\n AI_PROMPT_ATTRIBUTE,\n AI_PROMPT_MESSAGES_ATTRIBUTE,\n AI_PROMPT_TOOLS_ATTRIBUTE,\n AI_RESPONSE_OBJECT_ATTRIBUTE,\n AI_RESPONSE_PROVIDER_METADATA_ATTRIBUTE,\n AI_RESPONSE_TEXT_ATTRIBUTE,\n AI_RESPONSE_TOOL_CALLS_ATTRIBUTE,\n AI_TELEMETRY_FUNCTION_ID_ATTRIBUTE,\n AI_TOOL_CALL_ARGS_ATTRIBUTE,\n AI_TOOL_CALL_ID_ATTRIBUTE,\n AI_TOOL_CALL_NAME_ATTRIBUTE,\n AI_TOOL_CALL_RESULT_ATTRIBUTE,\n AI_USAGE_COMPLETION_TOKENS_ATTRIBUTE,\n AI_USAGE_PROMPT_TOKENS_ATTRIBUTE,\n GEN_AI_RESPONSE_MODEL_ATTRIBUTE,\n GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE,\n GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE,\n} from './vercel-ai-attributes';\n\nfunction addOriginToSpan(span: Span, origin: SpanOrigin): void {\n span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN, origin);\n}\n\n/**\n * Post-process spans emitted by the Vercel AI SDK.\n * This is supposed to be used in `client.on('spanStart', ...)\n */\nfunction onVercelAiSpanStart(span: Span): void {\n const { data: attributes, description: name } = spanToJSON(span);\n\n if (!name) {\n return;\n }\n\n // Tool call spans\n // https://ai-sdk.dev/docs/ai-sdk-core/telemetry#tool-call-spans\n if (attributes[AI_TOOL_CALL_NAME_ATTRIBUTE] && attributes[AI_TOOL_CALL_ID_ATTRIBUTE] && name === 'ai.toolCall') {\n processToolCallSpan(span, attributes);\n return;\n }\n\n // The AI and Provider must be defined for generate, stream, and embed spans.\n // The id of the model\n const aiModelId = attributes[AI_MODEL_ID_ATTRIBUTE];\n // the provider of the model\n const aiModelProvider = attributes[AI_MODEL_PROVIDER_ATTRIBUTE];\n if (typeof aiModelId !== 'string' || typeof aiModelProvider !== 'string' || !aiModelId || !aiModelProvider) {\n return;\n }\n\n processGenerateSpan(span, name, attributes);\n}\n\nfunction vercelAiEventProcessor(event: Event): Event {\n if (event.type === 'transaction' && event.spans) {\n for (const span of event.spans) {\n // this mutates spans in-place\n processEndedVercelAiSpan(span);\n }\n }\n return event;\n}\n/**\n * Post-process spans emitted by the Vercel AI SDK.\n */\nfunction processEndedVercelAiSpan(span: SpanJSON): void {\n const { data: attributes, origin } = span;\n\n if (origin !== 'auto.vercelai.otel') {\n return;\n }\n\n renameAttributeKey(attributes, AI_USAGE_COMPLETION_TOKENS_ATTRIBUTE, GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE);\n renameAttributeKey(attributes, AI_USAGE_PROMPT_TOKENS_ATTRIBUTE, GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE);\n\n if (\n typeof attributes[GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE] === 'number' &&\n typeof attributes[GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE] === 'number'\n ) {\n attributes['gen_ai.usage.total_tokens'] =\n attributes[GEN_AI_USAGE_OUTPUT_TOKENS_ATTRIBUTE] + attributes[GEN_AI_USAGE_INPUT_TOKENS_ATTRIBUTE];\n }\n\n // Rename AI SDK attributes to standardized gen_ai attributes\n renameAttributeKey(attributes, AI_PROMPT_MESSAGES_ATTRIBUTE, 'gen_ai.request.messages');\n renameAttributeKey(attributes, AI_RESPONSE_TEXT_ATTRIBUTE, 'gen_ai.response.text');\n renameAttributeKey(attributes, AI_RESPONSE_TOOL_CALLS_ATTRIBUTE, 'gen_ai.response.tool_calls');\n renameAttributeKey(attributes, AI_RESPONSE_OBJECT_ATTRIBUTE, 'gen_ai.response.object');\n renameAttributeKey(attributes, AI_PROMPT_TOOLS_ATTRIBUTE, 'gen_ai.request.available_tools');\n\n renameAttributeKey(attributes, AI_TOOL_CALL_ARGS_ATTRIBUTE, 'gen_ai.tool.input');\n renameAttributeKey(attributes, AI_TOOL_CALL_RESULT_ATTRIBUTE, 'gen_ai.tool.output');\n\n addProviderMetadataToAttributes(attributes);\n\n // Change attributes namespaced with `ai.X` to `vercel.ai.X`\n for (const key of Object.keys(attributes)) {\n if (key.startsWith('ai.')) {\n renameAttributeKey(attributes, key, `vercel.${key}`);\n }\n }\n}\n\n/**\n * Renames an attribute key in the provided attributes object if the old key exists.\n * This function safely handles null and undefined values.\n */\nfunction renameAttributeKey(attributes: Record<string, unknown>, oldKey: string, newKey: string): void {\n if (attributes[oldKey] != null) {\n attributes[newKey] = attributes[oldKey];\n // eslint-disable-next-line @typescript-eslint/no-dynamic-delete\n delete attributes[oldKey];\n }\n}\n\nfunction processToolCallSpan(span: Span, attributes: SpanAttributes): void {\n addOriginToSpan(span, 'auto.vercelai.otel');\n span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'gen_ai.execute_tool');\n renameAttributeKey(attributes, AI_TOOL_CALL_NAME_ATTRIBUTE, 'gen_ai.tool.name');\n renameAttributeKey(attributes, AI_TOOL_CALL_ID_ATTRIBUTE, 'gen_ai.tool.call.id');\n // https://opentelemetry.io/docs/specs/semconv/registry/attributes/gen-ai/#gen-ai-tool-type\n if (!attributes['gen_ai.tool.type']) {\n span.setAttribute('gen_ai.tool.type', 'function');\n }\n const toolName = attributes['gen_ai.tool.name'];\n if (toolName) {\n span.updateName(`execute_tool ${toolName}`);\n }\n}\n\nfunction processGenerateSpan(span: Span, name: string, attributes: SpanAttributes): void {\n addOriginToSpan(span, 'auto.vercelai.otel');\n\n const nameWthoutAi = name.replace('ai.', '');\n span.setAttribute('ai.pipeline.name', nameWthoutAi);\n span.updateName(nameWthoutAi);\n\n // If a Telemetry name is set and it is a pipeline span, use that as the operation name\n const functionId = attributes[AI_TELEMETRY_FUNCTION_ID_ATTRIBUTE];\n if (functionId && typeof functionId === 'string' && name.split('.').length - 1 === 1) {\n span.updateName(`${nameWthoutAi} ${functionId}`);\n span.setAttribute('gen_ai.function_id', functionId);\n }\n\n if (attributes[AI_PROMPT_ATTRIBUTE]) {\n span.setAttribute('gen_ai.prompt', attributes[AI_PROMPT_ATTRIBUTE]);\n }\n if (attributes[AI_MODEL_ID_ATTRIBUTE] && !attributes[GEN_AI_RESPONSE_MODEL_ATTRIBUTE]) {\n span.setAttribute(GEN_AI_RESPONSE_MODEL_ATTRIBUTE, attributes[AI_MODEL_ID_ATTRIBUTE]);\n }\n span.setAttribute('ai.streaming', name.includes('stream'));\n\n // Generate Spans\n if (name === 'ai.generateText') {\n span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'gen_ai.invoke_agent');\n return;\n }\n\n if (name === 'ai.generateText.doGenerate') {\n span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'gen_ai.generate_text');\n span.updateName(`generate_text ${attributes[AI_MODEL_ID_ATTRIBUTE]}`);\n return;\n }\n\n if (name === 'ai.streamText') {\n span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'gen_ai.invoke_agent');\n return;\n }\n\n if (name === 'ai.streamText.doStream') {\n 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span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'gen_ai.embed');\n span.updateName(`embed ${attributes[AI_MODEL_ID_ATTRIBUTE]}`);\n return;\n }\n\n if (name === 'ai.embedMany') {\n span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'gen_ai.invoke_agent');\n return;\n }\n\n if (name === 'ai.embedMany.doEmbed') {\n span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'gen_ai.embed_many');\n span.updateName(`embed_many ${attributes[AI_MODEL_ID_ATTRIBUTE]}`);\n return;\n }\n\n if (name.startsWith('ai.stream')) {\n span.setAttribute(SEMANTIC_ATTRIBUTE_SENTRY_OP, 'ai.run');\n return;\n }\n}\n\n/**\n * Add event processors to the given client to process Vercel AI spans.\n */\nexport function addVercelAiProcessors(client: Client): void {\n client.on('spanStart', onVercelAiSpanStart);\n // Note: We cannot do this on `spanEnd`, because the span cannot be mutated anymore at this point\n client.addEventProcessor(Object.assign(vercelAiEventProcessor, { id: 'VercelAiEventProcessor' }));\n}\n\nfunction addProviderMetadataToAttributes(attributes: SpanAttributes): void {\n const providerMetadata = attributes[AI_RESPONSE_PROVIDER_METADATA_ATTRIBUTE] as string | undefined;\n if (providerMetadata) {\n try {\n const providerMetadataObject = JSON.parse(providerMetadata) as ProviderMetadata;\n if (providerMetadataObject.openai) {\n setAttributeIfDefined(\n attributes,\n 'gen_ai.usage.input_tokens.cached',\n providerMetadataObject.openai.cachedPromptTokens,\n );\n setAttributeIfDefined(\n attributes,\n 'gen_ai.usage.output_tokens.reasoning',\n providerMetadataObject.openai.reasoningTokens,\n );\n setAttributeIfDefined(\n attributes,\n 'gen_ai.usage.output_tokens.prediction_accepted',\n providerMetadataObject.openai.acceptedPredictionTokens,\n );\n setAttributeIfDefined(\n attributes,\n 'gen_ai.usage.output_tokens.prediction_rejected',\n providerMetadataObject.openai.rejectedPredictionTokens,\n );\n setAttributeIfDefined(attributes, 'gen_ai.conversation.id', 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