* Bump provider version
* Fix inventories
* Ignore certificates in inventories
* Add header to cloud run recipe
* Optimize file copy for example-based tests
* Remove local references
* Refactor skill turn harness, fix session serialization, and resolve E2E test failures
* Ignore symlinks during workspace copying and enforce sandbox boundaries in playbooks
* Refactor interaction loop to use clean async generator-based Event flow
* Introduce dedicated async generator test and improve autonomous tester instructions
* Enforce strict sandbox awareness and Step 8 policy import gates
* Track and display conversation context size next to turn headers
* Streamline token usage display to only appear in turn step headers
* Refactor token usage tracking to show actual active context size
* Implement progress tracking block and human recovery in test harness
* docs: document and categorize repository skills and tools
* docs: add maintenance instructions for updating FACTORIES.md tables
* docs: add missing data-catalog-policy-tag factory in FACTORIES.md
* docs: add missing networking stage sub-factories in FACTORIES.md
* docs: add systematic commands for discovering module/stage factories in FACTORIES.md
* docs: add missing vpcs factories in 0-org-setup and 2-project-factory stages
* initial version of a FAST pre-install skill
* first round of testing
* Update fast-0-org-setup-prereqs skill with improved UX and local path handling
- Add explicit lockout warning and stop condition if the user is not a member of the provided Admin Principal group.
- Streamline bootstrap project selection to only prompt for an override if the active gcloud project is rejected.
- Restrict dataset discovery strictly to the `fast/stages/0-org-setup/datasets/` directory.
- Improve location handling by referencing `defaults.schema.json` for Standard GCP and auto-configuring fixed regions for GCD.
- Add comprehensive `local_path` management: prompt for customization, create directories, move `defaults.yaml` to the local data folder, and symlink `0-org-setup.auto.tfvars` back to the stage directory.
* add testing scenarios, implement initial changes for scenario 2
* move skills
* move to a skills/fast subfolder
* Refactor fast-0-org-setup prereqs skill
* Add skill-turn-harness utility tool
* Use relative markdown links for skill references
* Use descriptive titles for markdown links in skill references
* Add descriptions to each phase in the prerequisites workflow map
* Use backslash for markdown line breaks in skill map
* Update README security warning to mention default .gitignore
* shebang
* Update fast prereqs skill rules to force sequential question flow and refine harness tool with proper ctrl+c handling and slugified log paths
* Move playbook-gcp-dev.yaml to fast/prerequisites/gcp-dev.yaml and update fast prerequisites
* docs(skill-turn-harness): detail autonomous pond testing approach
* docs(skill-turn-harness): add final_state_checks to pond architecture and update toc
* Refine fast prereqs SKILL and gcp-dev playbook to strictly align with one-question-at-a-time rule
* feat(skill-turn-harness): update playbook schema for autonomous persona mode
* feat(skill-turn-harness): implement autonomous persona testing mode and fallback logic
* docs(skill-turn-harness): document the three modes of testing and update ToC
* implement timeout, schema validation, configurable cli
* chore: remove accidentally committed log files
* chore: ignore logs directory
* feat(skill-harness): implement tool execution interception, configurable workspace, and modularized validation
* feat(skill-harness): add model configuration and update README
* fix(skill-harness): automatically inject -y flag to gemini commands
* docs(skill-harness): add TODO.md with analysis for skill environment dependencies
* feat(skill-harness): add working_dir support and clean up fixtures
- Implement working_dir in harness to run tests in specific directories.
- Rename test fixtures and playbooks to be more descriptive.
- Add E2E test for working_dir.
- Apply code quality improvements to harness.py (imports, linting).
- Update README with working directory considerations and usage notes.
- Update phase3-bootstrap-and-iam.md skill doc to add execution rule against creating temp scripts.
* fix: capture customer_id and respect relative paths
* Implement isolated temp workspace sandboxing with symlinks in test harness
* Configure GCD manual autonomous playbook and align Phase 3/4 steps order
* Fix linting and schema tests failures
- Add missing license headers to tools/skill-turn-harness files.
- Fix trailing spaces and newlines in playbooks.
- Ignore tools directory in schema tests workflow.
TAG=agy
CONV=1bb75453-c3e2-448b-bae9-8e332a068012
* Fix Python formatting with yapf
TAG=agy
CONV=1bb75453-c3e2-448b-bae9-8e332a068012
* Refactor skill-turn-harness to use Antigravity SDK
- Migrated harness from gemini-cli subprocesses to Antigravity SDK.
- Implemented real-time step streaming and console logging.
- Added color-coded terminal output (dark gray headers, blue inputs, pink outputs).
- Collapsed excessive newlines in streamed thoughts.
- Excluded harness codebase from workspace copy to prevent agent cheating.
- Enabled skills folder copy to resolve agent lookup loops.
- Added key validation and CLI --debug flag.
* Fix autonomous turn layout: print Turn ID before execution
- Moved the [Autonomous Turn X] header print to before running the agent turn.
- This groups the real-time thinking and tool calls under the correct Turn ID block, instead of displaying them before the label.
* Remove obsolete .log.md from prerequisites skill directory
* dp rewrite stage 0, projects
* remove plan files
* generalize handling of basepath for projects in project-factory module
* central-0 ---> core-0
* add schemas, validate YAMLs, tags
* aspect types
* data catalog policy tag factory
* add support for data catalog taxonomy to project factory
* complete retrofit of old stage configuration, except networking
* shared vpc networking
* networking
* data platform as pf dataset
* docs
* test
* remove legacy dp stage, fix tests and links
* boilerplate
* tfdoc
* fix unrelated tfdoc
* schemas
* fix errors
* schema
* duplicate schemas
* yamllint
* Fix module naming convention for aspect-types
* Fix factories_config in vpcs.tf for net-vpc-factory compatibility
* Update schema documentation based on schema changes
* Fix false rename conflict in .config.yaml files
* Sync schemas and update documentation
* Fix path expansion for aspect-types and revert projects_input to master
* Restore path expansion for org_policies in projects-iam call
* Fix trailing newlines in schema duplicates to satisfy duplicate-diff
* Fix path expansion for data_catalog_taxonomy in taxonomies.tf
* Update inventory for data-platform test and clean up debug prints
* Add full values to data-platform inventory
* Align Stage 2 VPC Factory integration with Stage 0 and fix tests
TAG=agy
* Fix project factory context resolution and data platform datasets
- Update tag context keys in project factory to use file key without 'projects/' prefix.
- Fix tag reference in product-0.yaml.
- Fix shared_vpc_service_config in shared-0.yaml by moving service account to network_users.
- Set parent for domain-0 folder to data-platform.
- Mock net-dev-0 project ID in tests.
- Update inventories.
TAG=agy
CONV=4b37fa5b-bf59-4604-9e8f-b55353d967a0
* Fix project-level tag keys context resolution in project factory
* Fix commented out tag reference in domain-0 .config.yaml
* Fix merge() calls with empty arguments in project-factory and data-catalog-policy-tag
* Update Data Platform dataset README with prerequisites and customization guide
* Add Table of Contents to Data Platform dataset README
* docs: update Data Platform README with project templates tip
* Document data platform output files and linking sequence in README
* Update data platform README with VPC-SC and delegated IAM details
* Refactor data platform dataset and align stage defaults
* Update test inventory and variables for data platform with new prefix
* Fix categorization of PR #3949 in CHANGELOG.md
* Enhance changelog.py to error on uncategorized PRs
* Update skill to propose breaking changes to user
* feat(agent-engine): add support for container and custom image specs
- Add container_config to deployment_files.
- Add image_spec with build_args to source_config.
- Make agent_framework optional and document supported values.
- Implement dynamic specs for container and source deployments.
- Add examples and automated tests for new deployment types.
* chore: update Google provider version to 7.28.0 across modules
Mechanical update of versions.tf and versions.tofu files using tools/versions.py.
* feat(agent-engine): refactor for container deployments and API alignment
- Group deployment settings under 'deployment_config' (renamed from 'deployment_files').
- Support container-based deployments via 'container_config' and 'image_spec'.
- Refactor 'source_files_config' (renamed from 'source_config') to include mutually exclusive 'python_spec' and 'image_spec'.
- Support 'developer_connect_config' as a source code type.
- Group engine settings (framework, env, secrets) under 'agent_engine_config'.
- Add support for 'memory_bank_config' persistent memory.
- Overhaul reasoning engine resources with dynamic blocks to match provider schema.
- Update all documentation examples, add TOC, and refresh test inventories.
* Update dynamic python_spec block and related example yamls
* Ignore changes setting for developer_connect_source under lifecycle management
* fixing review comments for `try` and default path for `source_path`
---------
Co-authored-by: Hemanand <hemr@google.com>
Co-authored-by: Julio Castillo <jccb@google.com>
* feat: add automated PR review workflow via Vertex AI Gemini
* fix: use workflow name instead of job_workflow_ref for WIF mapping
* fix: read review output from file to avoid JS syntax errors in github-script
* chore: remove redundant GITHUB_OUTPUT logic in PR review workflow
* chore: move configuration identifiers to GitHub Variables
* chore: upgrade model to 3.1-pro-preview and sanitize comment title
* fix: use full model path in vertex ai SDK for preview models
* fix: revert to gemini-2.5-pro due to Vertex API model resolution errors
* feat(agent-engine): add support for memory bank configuration
* refactor(agent-engine): remove source_path_override and revert to standard source_path
* provider version upgrade from 7.17 to 7.27
* docs(agent-engine): fix README validation and update tables
---------
Co-authored-by: Hemanand <hemr@google.com>
* Migrate organization policy tests to standard tftest.yaml.
Remove python-hcl2 dependency and the custom python test file.
Consolidate the boolean, list, and custom constraint tests into a single `org_policies` test with a factory equivalent.
Restructure factory files into a unified `factory/` directory.
* Migrate project and folder org policy tests to standard tftest.yaml.
Replicate the organization module changes for project and folder modules:
- Remove python-hcl2 dependency usages and conftest.py.
- Remove custom python test files for org policies.
- Consolidate org policy tests into a single `org_policies` test with a factory equivalent.
- Unify factory files into a `factory/` directory.
- Remove redundant common.tfvars in folder module.
* Add factory policies directory to duplicate-diff checks.
Ensure the YAML factory files for org policies remain perfectly identical across the organization, folder, and project modules.
* Remove unused deepdiff dependency from requirements and pre-commit config.
* Add boilerplate
* fix broken link
* add ad for compute-vm refactor
* Exclue nic_type from validated fields, add split of main.tf and template.tf
* boot disk
* fix examples and fixtures
* attached disks
* fix further examples and module-level tests
* remove extra file
* fix mig examples
* finish refactoring variables
* align fast and other modules
* refactor(compute-vm): align examples and ADR with the newly implemented interface
This commit addresses the remaining references of the `instance_type` and `confidential_compute` parameters in the testing environment and updates the ADR.
* feat(compute-vm): add network_performance_config to instance and templates
This change implements the usage of the `network_performance_tier` variable we added earlier into the actual Terraform resources.
---------
Co-authored-by: Wiktor Niesiobędzki <wiktorn@google.com>
