feat(node): Switch to new semantic conventions for Vercel AI (#16476)

resolves #16453

In getsentry/sentry-conventions#57 we deprecated
some of the `ai.X` attributes in favour of OTEL's `gen_ai.X` attributes.
This updates the Vercel AI integration to address these deprecations.

These changes are based on
https://ai-sdk.dev/docs/ai-sdk-core/telemetry#collected-data, and we
created `attributes.ts` to track these as constants.

See the relay change here to switch to new attributes for measuring
token usage: getsentry/relay#4768

Author: AbhiPrasad

dev-packages/node-integration-tests/suites/tracing/ai/test.ts

@@ -12,20 +12,18 @@ describe('ai', () => {
     spans: expect.arrayContaining([
       expect.objectContaining({
         data: expect.objectContaining({
-          'ai.completion_tokens.used': 20,
           'ai.model.id': 'mock-model-id',
           'ai.model.provider': 'mock-provider',
-          'ai.model_id': 'mock-model-id',
           'ai.operationId': 'ai.generateText',
           'ai.pipeline.name': 'generateText',
-          'ai.prompt_tokens.used': 10,
           'ai.response.finishReason': 'stop',
           'ai.settings.maxRetries': 2,
           'ai.settings.maxSteps': 1,
           'ai.streaming': false,
-          'ai.total_tokens.used': 30,
-          'ai.usage.completionTokens': 20,
-          'ai.usage.promptTokens': 10,
+          'gen_ai.response.model': 'mock-model-id',
+          'gen_ai.usage.input_tokens': 10,
+          'gen_ai.usage.output_tokens': 20,
+          'gen_ai.usage.total_tokens': 30,
           'operation.name': 'ai.generateText',
           'sentry.op': 'ai.pipeline.generateText',
           'sentry.origin': 'auto.vercelai.otel',
@@ -47,18 +45,17 @@ describe('ai', () => {
           'gen_ai.system': 'mock-provider',
           'gen_ai.request.model': 'mock-model-id',
           'ai.pipeline.name': 'generateText.doGenerate',
-          'ai.model_id': 'mock-model-id',
           'ai.streaming': false,
           'ai.response.finishReason': 'stop',
           'ai.response.model': 'mock-model-id',
-          'ai.usage.promptTokens': 10,
-          'ai.usage.completionTokens': 20,
+          'ai.response.id': expect.any(String),
+          'ai.response.timestamp': expect.any(String),
           'gen_ai.response.finish_reasons': ['stop'],
           'gen_ai.usage.input_tokens': 10,
           'gen_ai.usage.output_tokens': 20,
-          'ai.completion_tokens.used': 20,
-          'ai.prompt_tokens.used': 10,
-          'ai.total_tokens.used': 30,
+          'gen_ai.response.id': expect.any(String),
+          'gen_ai.response.model': 'mock-model-id',
+          'gen_ai.usage.total_tokens': 30,
         }),
         description: 'generateText.doGenerate',
         op: 'ai.run.doGenerate',
@@ -67,22 +64,21 @@ describe('ai', () => {
       }),
       expect.objectContaining({
         data: expect.objectContaining({
-          'ai.completion_tokens.used': 20,
           'ai.model.id': 'mock-model-id',
           'ai.model.provider': 'mock-provider',
-          'ai.model_id': 'mock-model-id',
-          'ai.prompt': '{"prompt":"Where is the second span?"}',
           'ai.operationId': 'ai.generateText',
           'ai.pipeline.name': 'generateText',
-          'ai.prompt_tokens.used': 10,
+          'ai.prompt': '{"prompt":"Where is the second span?"}',
           'ai.response.finishReason': 'stop',
-          'ai.input_messages': '{"prompt":"Where is the second span?"}',
+          'ai.response.text': expect.any(String),
           'ai.settings.maxRetries': 2,
           'ai.settings.maxSteps': 1,
           'ai.streaming': false,
-          'ai.total_tokens.used': 30,
-          'ai.usage.completionTokens': 20,
-          'ai.usage.promptTokens': 10,
+          'gen_ai.prompt': '{"prompt":"Where is the second span?"}',
+          'gen_ai.response.model': 'mock-model-id',
+          'gen_ai.usage.input_tokens': 10,
+          'gen_ai.usage.output_tokens': 20,
+          'gen_ai.usage.total_tokens': 30,
           'operation.name': 'ai.generateText',
           'sentry.op': 'ai.pipeline.generateText',
           'sentry.origin': 'auto.vercelai.otel',
@@ -104,18 +100,20 @@ describe('ai', () => {
           'gen_ai.system': 'mock-provider',
           'gen_ai.request.model': 'mock-model-id',
           'ai.pipeline.name': 'generateText.doGenerate',
-          'ai.model_id': 'mock-model-id',
           'ai.streaming': false,
           'ai.response.finishReason': 'stop',
           'ai.response.model': 'mock-model-id',
-          'ai.usage.promptTokens': 10,
-          'ai.usage.completionTokens': 20,
+          'ai.response.id': expect.any(String),
+          'ai.response.text': expect.any(String),
+          'ai.response.timestamp': expect.any(String),
+          'ai.prompt.format': expect.any(String),
+          'ai.prompt.messages': expect.any(String),
           'gen_ai.response.finish_reasons': ['stop'],
           'gen_ai.usage.input_tokens': 10,
           'gen_ai.usage.output_tokens': 20,
-          'ai.completion_tokens.used': 20,
-          'ai.prompt_tokens.used': 10,
-          'ai.total_tokens.used': 30,
+          'gen_ai.response.id': expect.any(String),
+          'gen_ai.response.model': 'mock-model-id',
+          'gen_ai.usage.total_tokens': 30,
         }),
         description: 'generateText.doGenerate',
         op: 'ai.run.doGenerate',