Hacktoberfest 2026: los issues que los mantenedores marcaron para octubre, abiertos y aptos para principiantes. Explorar issues de Hacktoberfest

[Agent Engine][Adk] app_name mismatch between AdkApp._tmpl_attrs and Runner causes GCS artifact lookup failures in Agent Engine

Abierto
#6,521 0 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
55/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Tranquilo
Stack tecnológico
google-cloud, python
Área
ai, backend, cloud

Línea de trabajo

Comienza en vertexai.agent_engines.templates.adk e inspecciona AdkApp.set_up(); después compara su app_name de la plantilla con Runner._validate_runner_params y _convert_response_events. Reproduce la ruta de guardado/carga del artefacto utilizando el entorno de Agent Engine descrito y confirma que el nombre de la ADK App envuelta se usa de forma coherente sin depender de la GOOGLE_CLOUD_AGENT_ENGINE_ID numérica.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

api: vertex-ai
Environment details
  • OS type and version: Linux (Vertex AI Agent Engine environment)
  • Python version: Python 3.11+
  • google-cloud-aiplatform version: 1.143.0
Steps to reproduce
  1. Create an agent via Google ADK exposing tools that generate or return visual artifacts (images/videos) using tool_context.save_artifact().
  2. Instantiate and wrap the ADK agent into a Vertex AI SDK template using AdkApp (from vertexai.agent_engines.templates.adk).
  3. Deploy this agent to Agent Engine (Vertex AI platform container mapping to Gemini Enterprise).
  4. Trigger any tool that saved an artifact from the UI chat.
Root Cause Analysis

The issue occurs because the application name used by the container falls back onto the ID assigned by the Cloud platform if not explicitly provided, while the Runner defaults to the name defined in the ADK App instance.

In AdkApp.set_up(), the fallback logic is as follows:

# AdkApp.set_up() fallback logic
if not self._tmpl_attrs.get("app_name"):
    if "GOOGLE_CLOUD_AGENT_ENGINE_ID" in os.environ:
        self._tmpl_attrs["app_name"] = os.environ.get(
            "GOOGLE_CLOUD_AGENT_ENGINE_ID",
        )
    else:
        self._tmpl_attrs["app_name"] = _DEFAULT_APP_NAME

However, the Runner created later defaults to app.name (the static default "app" in ADK if not overridden):

# Runner._validate_runner_params defaults to app.name
app_name = app_name or app.name  # resolves to "app" instead of the ID

This creates a mismatch failure during session artifact reads in _convert_response_events.

Actual Behavior
  • Save Path evaluates using app.name (e.g., "app" or a custom name like "mova"):
    GCS_BUCKET/app/{user_id}/{session_id}/artifact.png

  • Load Path evaluates using AdkApp._tmpl_attrs["app_name"] (e.g., the numerical ID assigned by Google Cloud):
    GCS_BUCKET/8269664996770709504/{user_id}/{session_id}/artifact.png

Because strings like "app" and "8269664996770709504" on bucket paths do not map identically, files aren't found on state loads, and the Gemini Enterprise UI draws empty boxes or fails to render the media.

Moreover, if the user tries to use GOOGLE_CLOUD_AGENT_ENGINE_ID directly to solve the mismatch, the purely numerical ID causes Pydantic validation failures on boot because it is not a valid Python identifier (starts with a digit).

Expected Behavior

The AdkApp should ensure that the app_name in its template attributes matches the name of the ADK App being wrapped, or provide a clean way to synchronize them, rather than falling back to the numerical GOOGLE_CLOUD_AGENT_ENGINE_ID.

Workaround Applied

To fix this manually in user code, one can override _tmpl_attrs["app_name"] after calling super().set_up() in the custom AdkApp class:

class AgentEngineApp(AdkApp):

    def set_up(self) -> None:
        super().set_up()
        # Enforce that AdkApp uses the same name as the ADK App
        self._tmpl_attrs["app_name"] = adk_app.name
Lenguaje dominante
Python
Estrellas
907
Forks
467
Merge medio
1 d 8 h
PR fusionados (30 d)
40

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Más de googleapis/python-aiplatform

Todos los issues de googleapis/python-aiplatform

Issues similares

Más issues de Python

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.