ref(core): Use stringify helper for AI span attribute serialization

Replace the manual `typeof x === 'string' ? x : JSON.stringify(x)` pattern with
the `stringify` helper from `@sentry/core` across the AI integrations. The
helper wraps `JSON.stringify` in a try/catch, so non-serializable values (circular
references, `BigInt`) fall back to `'[unserializable]'` instead of throwing and
dropping the span attributes.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Author: nicohrubec

packages/core/src/tracing/google-genai/index.ts

@@ -149,7 +149,7 @@ export function addPrivateRequestAttributes(
   if (operationName === 'embeddings') {
     const contents = params.contents;
     if (contents != null) {
-      span.setAttribute(GEN_AI_EMBEDDINGS_INPUT, typeof contents === 'string' ? contents : JSON.stringify(contents));
+      span.setAttribute(GEN_AI_EMBEDDINGS_INPUT, stringify(contents, String));
     }
     return;
   }

packages/core/src/tracing/langchain/embeddings.ts

@@ -14,6 +14,7 @@ import {
   GEN_AI_REQUEST_ENCODING_FORMAT_ATTRIBUTE,
 } from '../ai/gen-ai-attributes';
 import { resolveAIRecordingOptions } from '../ai/utils';
+import { stringify } from '../../utils/string';
 import { LANGCHAIN_ORIGIN } from './constants';
 import type { LangChainOptions } from './types';
 
@@ -73,7 +74,7 @@ export function _INTERNAL_getLangChainEmbeddingsSpanOptions(
   const modelName = attributes[GEN_AI_REQUEST_MODEL] || 'unknown';
 
   if (recordInputs && input != null) {
-    attributes[GEN_AI_EMBEDDINGS_INPUT] = typeof input === 'string' ? input : JSON.stringify(input);
+    attributes[GEN_AI_EMBEDDINGS_INPUT] = stringify(input, String);
   }
 
   return {

packages/core/src/tracing/langchain/index.ts

@@ -4,6 +4,7 @@ import { SEMANTIC_ATTRIBUTE_SENTRY_OP, SEMANTIC_ATTRIBUTE_SENTRY_ORIGIN } from '
 import { SPAN_STATUS_ERROR } from '../../tracing';
 import { startSpanManual } from '../../tracing/trace';
 import type { Span, SpanAttributeValue } from '../../types/span';
+import { stringify } from '../../utils/string';
 import {
   GEN_AI_OPERATION_NAME,
   GEN_AI_REQUEST_MODEL,
@@ -327,7 +328,7 @@ export function createLangChainCallbackHandler(options: LangChainOptions = {}):
           const content =
             outputObj && typeof outputObj === 'object' && 'content' in outputObj ? outputObj.content : output;
           span.setAttributes({
-            [GEN_AI_TOOL_CALL_RESULT]: typeof content === 'string' ? content : JSON.stringify(content),
+            [GEN_AI_TOOL_CALL_RESULT]: stringify(content, String),
           });
         }
         exitSpan(runId);

packages/core/src/tracing/openai/index.ts

@@ -105,8 +105,7 @@ export function addRequestAttributes(
       return;
     }
 
-    // Store strings as-is, arrays/objects as JSON
-    span.setAttribute(GEN_AI_EMBEDDINGS_INPUT, typeof input === 'string' ? input : JSON.stringify(input));
+    span.setAttribute(GEN_AI_EMBEDDINGS_INPUT, stringify(input, String));
     return;
   }
 

packages/core/src/tracing/workers-ai/utils.ts

@@ -107,7 +107,7 @@ export function addRequestAttributes(
       return;
     }
 
-    span.setAttribute(GEN_AI_EMBEDDINGS_INPUT, typeof text === 'string' ? text : JSON.stringify(text));
+    span.setAttribute(GEN_AI_EMBEDDINGS_INPUT, stringify(text, String));
     return;
   }
 
@@ -168,7 +168,7 @@ export function setOutputMessagesAttribute(
         type: 'tool_call',
         id: call.id,
         name,
-        arguments: typeof args === 'string' ? args : JSON.stringify(args ?? {}),
+        arguments: stringify(args ?? {}, String),
       });
     }
   }