VertexAI stop serializing unset fields into event

instrumentation-genai/opentelemetry-instrumentation-vertexai/CHANGELOG.md

@@ -17,3 +17,5 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   ([#3203](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3203))
 - Add Vertex gen AI response span attributes
   ([#3227](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3227))
+- VertexAI stop serializing unset fields into event
+  ([#3236](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/3236))

instrumentation-genai/opentelemetry-instrumentation-vertexai/src/opentelemetry/instrumentation/vertexai/utils.py

@@ -257,7 +257,10 @@ def _parts_to_any_value(
         return None
 
     return [
-        cast("dict[str, AnyValue]", type(part).to_dict(part))  # type: ignore[reportUnknownMemberType]
+        cast(
+            "dict[str, AnyValue]",
+            type(part).to_dict(part, including_default_value_fields=False),  # type: ignore[reportUnknownMemberType]
+        )
         for part in parts
     ]
 

instrumentation-genai/opentelemetry-instrumentation-vertexai/test-requirements-0.txt

@@ -7,7 +7,7 @@ docstring_parser==0.16
 exceptiongroup==1.2.2
 google-api-core==2.23.0
 google-auth==2.36.0
-google-cloud-aiplatform==1.74.0
+google-cloud-aiplatform==1.79.0
 google-cloud-bigquery==3.27.0
 google-cloud-core==2.4.1
 google-cloud-resource-manager==1.13.1

instrumentation-genai/opentelemetry-instrumentation-vertexai/test-requirements-1.txt

@@ -8,7 +8,7 @@ docstring_parser==0.16
 exceptiongroup==1.2.2
 google-api-core==2.23.0
 google-auth==2.36.0
-google-cloud-aiplatform==1.74.0
+google-cloud-aiplatform==1.79.0
 google-cloud-bigquery==3.27.0
 google-cloud-core==2.4.1
 google-cloud-resource-manager==1.13.1

instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/cassettes/test_preview_generate_content_all_input_events.yaml

@@ -0,0 +1,108 @@
+interactions:
+- request:
+    body: |-
+      {
+        "contents": [
+          {
+            "role": "user",
+            "parts": [
+              {
+                "text": "My name is OpenTelemetry"
+              }
+            ]
+          },
+          {
+            "role": "model",
+            "parts": [
+              {
+                "text": "Hello OpenTelemetry!"
+              }
+            ]
+          },
+          {
+            "role": "user",
+            "parts": [
+              {
+                "text": "Address me by name and say this is a test"
+              }
+            ]
+          }
+        ],
+        "systemInstruction": {
+          "role": "user",
+          "parts": [
+            {
+              "text": "You are a clever language model"
+            }
+          ]
+        }
+      }
+    headers:
+      Accept:
+      - '*/*'
+      Accept-Encoding:
+      - gzip, deflate
+      Connection:
+      - keep-alive
+      Content-Length:
+      - '548'
+      Content-Type:
+      - application/json
+      User-Agent:
+      - python-requests/2.32.3
+    method: POST
+    uri: https://us-central1-aiplatform.googleapis.com/v1beta1/projects/fake-project/locations/us-central1/publishers/google/models/gemini-1.5-flash-002:generateContent?%24alt=json%3Benum-encoding%3Dint
+  response:
+    body:
+      string: |-
+        {
+          "candidates": [
+            {
+              "content": {
+                "role": "model",
+                "parts": [
+                  {
+                    "text": "OpenTelemetry, this is a test.\n"
+                  }
+                ]
+              },
+              "finishReason": 1,
+              "avgLogprobs": -1.1655389850299496e-06
+            }
+          ],
+          "usageMetadata": {
+            "promptTokenCount": 25,
+            "candidatesTokenCount": 9,
+            "totalTokenCount": 34,
+            "promptTokensDetails": [
+              {
+                "modality": 1,
+                "tokenCount": 25
+              }
+            ],
+            "candidatesTokensDetails": [
+              {
+                "modality": 1,
+                "tokenCount": 9
+              }
+            ]
+          },
+          "modelVersion": "gemini-1.5-flash-002",
+          "createTime": "2025-02-03T22:15:35.089616Z",
+          "responseId": "B0ChZ5C8BbXInvgP19PTyA4"
+        }
+    headers:
+      Content-Type:
+      - application/json; charset=UTF-8
+      Transfer-Encoding:
+      - chunked
+      Vary:
+      - Origin
+      - X-Origin
+      - Referer
+      content-length:
+      - '715'
+    status:
+      code: 200
+      message: OK
+version: 1

instrumentation-genai/opentelemetry-instrumentation-vertexai/tests/test_chat_completions.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import pytest
 from google.api_core.exceptions import BadRequest, NotFound
 from vertexai.generative_models import (
@@ -6,6 +8,9 @@
     GenerativeModel,
     Part,
 )
+from vertexai.preview.generative_models import (
+    GenerativeModel as PreviewGenerativeModel,
+)
 
 from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor
 from opentelemetry.sdk._logs._internal.export.in_memory_log_exporter import (
@@ -321,10 +326,37 @@ def test_generate_content_all_events(
     log_exporter: InMemoryLogExporter,
     instrument_with_content: VertexAIInstrumentor,
 ):
-    model = GenerativeModel(
-        "gemini-1.5-flash-002",
-        system_instruction=Part.from_text("You are a clever language model"),
+    generate_content_all_input_events(
+        GenerativeModel(
+            "gemini-1.5-flash-002",
+            system_instruction=Part.from_text(
+                "You are a clever language model"
+            ),
+        ),
+        log_exporter,
     )
+
+
+@pytest.mark.vcr
+def test_preview_generate_content_all_input_events(
+    log_exporter: InMemoryLogExporter,
+    instrument_with_content: VertexAIInstrumentor,
+):
+    generate_content_all_input_events(
+        PreviewGenerativeModel(
+            "gemini-1.5-flash-002",
+            system_instruction=Part.from_text(
+                "You are a clever language model"
+            ),
+        ),
+        log_exporter,
+    )
+
+
+def generate_content_all_input_events(
+    model: GenerativeModel | PreviewGenerativeModel,
+    log_exporter: InMemoryLogExporter,
+):
     model.generate_content(
         [
             Content(