Release v0.3.1#667
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…orkers get_graph_store_info() reads get_resource_config() to build the readiness URI (added in #533), but the launched Vertex AI workers had no GIGL_RESOURCE_CONFIG_URI in their env, so they failed with "No resource config provided". Inject it via the compute pool's environment_variables, which launch_graph_store_job propagates to both compute and storage pools. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…test workers The test runner's resource config URI may be a local path that does not exist on the worker Docker image, so passing it directly to the workers via GIGL_RESOURCE_CONFIG_URI would not be readable. Instead, upload the in-memory resource config to the regional bucket (accessible to workers over GCS), pass that URI to the workers, and delete it in tearDown. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…w image names" This reverts commit e16e2ba.
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Release v0.3.1
This updates and releases GiGL version from
0.2.0to0.3.1.Info:
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Please create a new release from the tag.
This PR was automatically created by the Create Release workflow.