GcsArtifactService - store artifacts into GCS

[dem0n4e]

Hello, I'm using ADK 1.5. I'm running "adk web" from google shell and with web preview on port 8000 I'm able to talk with the agent. I've tried example with idea store in artefacts and read them from artifacts. I want to implement/test store artifacts on GCS, i follow the documentation:

`try:
gcs_service_py = GcsArtifactService(bucket_name=gcs_bucket_name_py)
print(f"Python GcsArtifactService initialized for bucket: {gcs_bucket_name_py}")
except Exception as e:
logging.error(f"Error initializing Python GcsArtifactService: {str(e)}")
print(f"Error initializing Python GcsArtifactService: {e}")

Then pass it to runner:
runner = Runner( agent=root_agent, app_name="artifact_app", session_service=in_memory_service_py, artifact_service=gcs_service_py )

My env has access to bucket - able to upload file with gcloud command. So, its not about access. When I run the agent, i've received notification that the "GcsArtifactService initialized for bucket: ....", but i'm not able to see any stored file into the GCS.
Here is the tool about save of idea into file:

async def save_idea( text: str, file_name: str, tool_context: ToolContext ) -> dict: try: artifact = Part( inline_data=Blob( mime_type="text/plain", data=text.encode('utf-8') ) ) version = await tool_context.save_artifact( filename=file_name, artifact=artifact ) return { "status": "success", "message": f"Idea saved to GCS as version {version}" } except Exception as e: error_message = f"Error saving artifact '{file_name}': {e}" print(f"[Tool: save_text_to_artifact] {error_message}") return {"status": "error", "message": error_message}

This tool save idea in file with name given by the user. I'm able to see the stored artifact in adk web -> Artifacts but they are not into GCS

Any ideas? What i miss ?
Appreciate any advices and clues

[chanchalchitwan]

@dem0n4e can you first try with image or pdf file, see if that is working for you?
artifact service uri should be defined as per below.
artifact_service_uri="gs://{bucket_name}"