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Bump google-cloud-aiplatform from 1.136.0 to 1.146.0 in /docker/google-vision-api#43732

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Bump google-cloud-aiplatform from 1.136.0 to 1.146.0 in /docker/google-vision-api#43732
dependabot[bot] wants to merge 1 commit intomasterfrom
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Bumps google-cloud-aiplatform from 1.136.0 to 1.146.0.

Release notes

Sourced from google-cloud-aiplatform's releases.

v1.146.0

1.146.0 (2026-04-07)

⚠ BREAKING CHANGES

  • to_bigframes has been removed from the datasets module and moved into the MultimodalDataset class. Instead of dataframe = client.datasets.to_bigframes(multimodal_dataset=multimodal_dataset), use dataframe = multimodal_dataset.to_bigframes() to create a BigFrame instance from a multimodal dataset.

Features

  • Add consolidation customization to Memory Bank (a8948c4)
  • Add support for custom result parsing in LLM-based evaluation metrics (3e0ddff)
  • GenAI Client(evals) - add core data models and code-gen mapping for auto-loss analysis (09794ba)
  • GenAI Client(evals): Apply default user persona 'Evaluator' in multi-turn agent scraping (7002dc5)
  • In run_query_job, rename gcs_bucket to gcs_uri and allow the case that user sets the filename for the output. (f302d1f)
  • Pass state from first bidi_stream_query request to async_create_session (37b5a0f)

Miscellaneous Chores

  • GenAI SDK client(multimodal) - Move to_bigframes method to MultimodalDataset class. (6874b8d)
  • Release 1.146.0 (aab457d)

v1.145.0

1.145.0 (2026-04-01)

Features

  • Add session_id to Create Session to allow custom session id (bea67c2)
  • Eval SDK: Migrate model call method by genai SDK usage (ff5e246)
  • Eval SDK: Migrate model call method by genai SDK usage in preview foler (ad36123)
  • Limit metric registry support to only custom code execution metric and llm based metric in SDK (c12aedc)

Bug Fixes

  • Increase default timeout to 600 seconds for ask_contexts and async_retrieve_contexts in VertexRagServiceClient. (3de2c1e)

v1.144.0

1.144.0 (2026-03-31)

⚠ BREAKING CHANGES

  • Breaking change in experimental methods: create_from_bigquery and update_multimodal_dataset no longer automatically prepend a missing bq:// prefix for BigQuery URIs. When using the new function MultimodalDataset.set_bigquery_uri the prefix will still be added if needed.

Features

  • Add metadata_filter usage to all retrieval and generator methods in rag_retrieval.py (841c597)

... (truncated)

Changelog

Sourced from google-cloud-aiplatform's changelog.

1.146.0 (2026-04-07)

⚠ BREAKING CHANGES

  • to_bigframes has been removed from the datasets module and moved into the MultimodalDataset class. Instead of dataframe = client.datasets.to_bigframes(multimodal_dataset=multimodal_dataset), use dataframe = multimodal_dataset.to_bigframes() to create a BigFrame instance from a multimodal dataset.

Features

  • Add consolidation customization to Memory Bank (a8948c4)
  • Add support for custom result parsing in LLM-based evaluation metrics (3e0ddff)
  • GenAI Client(evals) - add core data models and code-gen mapping for auto-loss analysis (09794ba)
  • GenAI Client(evals): Apply default user persona 'Evaluator' in multi-turn agent scraping (7002dc5)
  • In run_query_job, rename gcs_bucket to gcs_uri and allow the case that user sets the filename for the output. (f302d1f)
  • Pass state from first bidi_stream_query request to async_create_session (37b5a0f)

Miscellaneous Chores

  • GenAI SDK client(multimodal) - Move to_bigframes method to MultimodalDataset class. (6874b8d)
  • Release 1.146.0 (aab457d)

1.145.0 (2026-04-01)

Features

  • Add session_id to Create Session to allow custom session id (bea67c2)
  • Eval SDK: Migrate model call method by genai SDK usage (ff5e246)
  • Eval SDK: Migrate model call method by genai SDK usage in preview foler (ad36123)
  • Limit metric registry support to only custom code execution metric and llm based metric in SDK (c12aedc)

Bug Fixes

  • Increase default timeout to 600 seconds for ask_contexts and async_retrieve_contexts in VertexRagServiceClient. (3de2c1e)

1.144.0 (2026-03-31)

⚠ BREAKING CHANGES

  • create_from_bigquery and update_multimodal_dataset no longer automatically prepend a missing bq:// prefix for BigQuery URIs. When using the new function MultimodalDataset.set_bigquery_uri the prefix will still be added if needed.

Features

  • Add metadata_filter usage to all retrieval and generator methods in rag_retrieval.py (841c597)
  • Add container_spec to Reasoning Engine public protos (9a0eefb)
  • Add container_spec to Reasoning Engine public protos (9a0eefb)
  • Add support for container_spec in AgentEngines (da663c0)

... (truncated)

Commits
  • 9569fe4 chore(main): release 1.146.0 (#6530)
  • aab457d chore: release 1.146.0
  • 7002dc5 feat: GenAI Client(evals): Apply default user persona 'Evaluator' in multi-t...
  • 6874b8d chore: GenAI SDK client(multimodal) - Move to_bigframes method to `Multimod...
  • 5414089 chore: Update model name in pointwise metric example
  • 37b5a0f feat: Pass state from first bidi_stream_query request to async_create_session
  • 09794ba feat: GenAI Client(evals) - add core data models and code-gen mapping for aut...
  • 8710b02 chore: Bump google-genai min version to 1.66.0 (#6536)
  • 3e0ddff feat: Add support for custom result parsing in LLM-based evaluation metrics
  • a8948c4 feat: Add consolidation customization to Memory Bank
  • Additional commits viewable in compare view

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Bumps [google-cloud-aiplatform](https://github.com/googleapis/python-aiplatform) from 1.136.0 to 1.146.0.
- [Release notes](https://github.com/googleapis/python-aiplatform/releases)
- [Changelog](https://github.com/googleapis/python-aiplatform/blob/main/CHANGELOG.md)
- [Commits](googleapis/python-aiplatform@v1.136.0...v1.146.0)

---
updated-dependencies:
- dependency-name: google-cloud-aiplatform
  dependency-version: 1.146.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

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@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Apr 8, 2026
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Docker Image Ready - Dev

Docker automatic build has deployed your docker image: devdemisto/google-vision-api:1.0.0.8138305
It is available now on docker hub at: https://hub.docker.com/r/devdemisto/google-vision-api/tags
Get started by pulling the image:

docker pull devdemisto/google-vision-api:1.0.0.8138305

Docker Metadata

  • Image Size: 116.00 MB
  • Image ID: sha256:53a51a980cf6b6bad7b9dba8030f63fe80f075a556a424a0338c3458dd6b4007
  • Created: 2026-04-08T14:25:02.02228248Z
  • Arch: linux/amd64
  • Command: ["python3"]
  • Environment:
    • PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
    • LANG=C.UTF-8
    • GPG_KEY=7169605F62C751356D054A26A821E680E5FA6305
    • PYTHON_VERSION=3.12.12
    • PYTHON_SHA256=fb85a13414b028c49ba18bbd523c2d055a30b56b18b92ce454ea2c51edc656c4
    • DOCKER_IMAGE=devdemisto/google-vision-api:1.0.0.8138305
  • Labels:
    • org.opencontainers.image.authors:Demisto <containers@demisto.com>
    • org.opencontainers.image.revision:f9f726540bfb4c0b2fd7fe06ffdcceab33e5f2f9
    • org.opencontainers.image.version:1.0.0.8138305

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