Release v2.1.5

Release Date: 2026-03-25

Changes since v2.1.4

• chore: release v2.1.5 [skip ci] (5f02701)
• chore: update FUNDING.yml with GitHub Sponsors + Buy Me a Coffee (d6f4423)

Release v2.1.4

Release Date: 2026-03-25

Changes since v2.1.3

• chore: release v2.1.4 [skip ci] (26376f4)
• chore: add GitHub Sponsors funding button (cdef547)

Release v2.1.3

Release Date: 2026-02-20

Changes since v2.1.2

• chore: release v2.1.3 [skip ci] (04932e1)
• fix(docs): update stale env var and script refs in standards doc (#68) (a6b10b7)

Release v2.1.2

Release Date: 2026-02-20

Changes since v2.1.1

• chore: release v2.1.2 [skip ci] (12d6011)
• fix(config): align AGENT_ENGINE env var convention to ID pattern (#67) (e1b3efe)

Release v2.1.1

Release Date: 2026-02-20

Changes since v2.1.0

• chore: release v2.1.1 [skip ci] (f3745d9)
• fix: address PR #65 review feedback (#66) (66ed03d)

Release v2.1.0

Release Date: 2026-02-19

Changes since v2.0.0

• chore: release v2.1.0 [skip ci] (4f4667c)
• chore: audit scripts, archive dead code, fix release.yml, update CLAUDE.md (3d1bf78)
• fix(ci): resolve pre-existing lint and test failures (#64) (f37aff5)
• fix(ci): resolve empty PROJECT_ID in inline deploy workflow (fbcfe06)
• feat: testing harness, CI gates, and stub providers (#62) (894cf48)
• merge: resolve doc conflicts with main (accept main's versions) (2ba11ed)
• fix(tests): address minor review feedback from CodeRabbit and Gemini (4915ef4)
• fix(tests): deepcopy stub responses, move TESTING.md to 000-docs (R6) (81b722c)
• fix(ci): make pip-audit blocking, mark bandit non-blocking for pre-existing findings (8caa2a0)
• fix(ci): switch to ruff, fix coverage module, add pip-audit (0806842)
• feat(tests): add A2AResult factory and new conftest fixtures (f9b459d)
• feat(tests): add stub providers for LLM, Agent Engine, and HTTP replay (5857968)
• fix: close 4 risk tier enforcement gaps in policy gates and dispatcher (#61) (9d72047)
• docs(000-docs): add language identifier to fenced code block (4de2953)
• docs(000-docs): fix canonical document count (28 → 29), add missing inventory doc (68a87bc)
• docs(000-docs): fix remaining 6767 references flagged by CodeRabbit (78c4838)
• docs(000-docs): fix repetitive document headers and stale catalog refs (414dfa2)
• docs(changelog): add unreleased section for recent changes (4cc3e71)
• docs(claude): update all 6767 references to 000-* prefix (doc-filing v4.3) (5fcbdb2)
• docs(readme): fix identity crisis, update to doc-filing v4.3 references (e9a7076)
• docs(000-docs): migrate 28 canonical files from 6767-* to 000-* prefix (doc-filing v4.3) (1dac271)
• docs(claude): fix incorrect make targets, add test infra and service layout (f0ab79d)
• docs(claude): improve CLAUDE.md with better test commands and agent creation guide (0071bb0)
• test(iam): add comprehensive test coverage for all IAM specialists (#58) (4bf296b)
• test(iam): add comprehensive test coverage for all IAM specialists (e192a70)
• feat: agent callback updates and mission spec skill_id support (#57) (93c45de)
• Merge pull request #56 from intent-solutions-io/fix/readme-alignment (02bbbfc)
• docs(readme): align with v2.0.0 changes and fix issues (ee76087)
• Merge pull request #55 from intent-solutions-io/feature/enable-mcp-deployment (0d00f68)
• test: fix test warnings and failures (83d6e6b)
• feat(infra): add MCP server config to staging/prod tfvars (7993ac4)
• fix(tests): cleanup broken tests and fix skill ID field (#54) (4078b8f)
• feat(a2a): implement Phase H+ async A2A dispatch (#53) (e982160)
• feat: Phase H - Universal Autonomous AI Crew (#52) (56ba6a3)
• docs(readme): update for v2.0.0 Vision Alignment GA (7e87208)
• bd sync: 2026-01-03 01:25:49 (5c30c59)

Vision Alignment GA - General-Purpose Enterprise Orchestrator

Major release transforming Bob's Brain from ADK-focused devops assistant into a general-purpose enterprise orchestration system.

Highlights

• Canonical Agent IDs with backwards-compatible aliases
• Enterprise Controls (R0-R4 risk tiers, policy gates, evidence bundles)
• Mission Spec v1 (declarative workflow-as-code)
• 103 new unit tests (303 total)

New Capabilities

Agent Identity System (Phase D)

• Canonical kebab-case IDs: bob, iam-orchestrator, iam-compliance, etc.
• Alias support for legacy underscore IDs
• Deprecation warnings for migration path

Enterprise Controls (Phase E)

• Risk Tiers R0-R4: From read-only (R0) to financial operations (R4)
• Policy Gates: Default-deny for high-risk operations
• Tool Allowlists: Per-mandate tool restrictions
• Evidence Bundles: Complete audit trails with hashing

Mission Spec v1 (Phase F)

• Declarative YAML workflow definitions
• Deterministic compilation (same input → same output)
• CLI: validate, compile, dry-run, run
• Loop constructs with gates

New Documentation

• 252-DR-STND-agent-identity-standard.md
• 253-DR-STND-mandates-budgets-approvals.md
• 254-DR-STND-policy-gates-risk-tiers.md
• 255-DR-STND-evidence-bundles-and-audit-export.md
• 257-DR-STND-mission-spec-v1.md
• 260-AA-REPT-vision-alignment-ga-aar.md

Breaking Changes

None. Full backwards compatibility via alias system.

Full Changelog: See CHANGELOG.md

🤖 Generated with Claude Code

🎉 v1.1.0 - Google Multi-Agent Patterns Rollout

This release implements all 5 phases of the Google Multi-Agent Patterns rollout, bringing Bob's Brain from 3/8 to 7/8 implemented patterns (87.5%) from Google's Developer Blog guide.

✨ Features

Phase P1: Sequential Workflow Pattern

• ADK Primitive: SequentialAgent
• State passing via output_key and {key} reference syntax
• create_sequential_pipeline() factory function

Phase P2: Parallel Fan-Out Pattern

• ADK Primitive: ParallelAgent
• Unique output_key per agent to prevent collisions
• create_parallel_analyzer() factory function

Phase P3: Quality Gates Pattern

• ADK Primitive: LoopAgent
• Generator-Critic iteration with ctx.actions.escalate = True
• Configurable max_iterations
• create_quality_loop() factory function

Phase P4: Human-in-the-Loop Pattern

• ADK Primitive: Callbacks + before_agent_callback
• RiskLevel enum (LOW, MEDIUM, HIGH, CRITICAL)
• Approval request/response contracts
• Risk classification engine

Phase P5: Agent Starter Pack Templates

• 5 reusable pattern templates in templates/ directory
• Decision tree guide (PATTERNS.md)
• Contribution guidelines (CONTRIBUTING.md)

📝 Other Changes

• License: Changed from MIT to Elastic License 2.0 (ELv2)
• CI/CD: Fixed workflow references and ARV import checks

📊 Pattern Implementation Status

📚 Documentation

• Added 6767-DR-STND-human-approval-pattern.md
• Added release report 236-AA-REPT-bobs-brain-release-v1-1-0.md
• Updated README badges (version + license)

Full Changelog: v1.0.0...v1.1.0

🎯 Linux Foundation AI Card PR Preparation

This release prepares Bob's Brain as a reference implementation for the Linux Foundation AI Card standard. All critical issues identified in the pre-PR audit have been resolved.

🚀 Highlights

• AI Card Reference Examples - 4 comprehensive files showing AI Card v1.0 adoption
• OSS Standard Files - CONTRIBUTING, CODE_OF_CONDUCT, SECURITY (25.4 KB total)
• Repository Quality - 85/100 → 95/100 (10-point improvement)
• R6 Compliance - Single docs folder achieved
• Documentation - All duplicates resolved, all links fixed

📦 What's New

AI Card Examples Directory

• ai-card-examples/bobs-brain/ with complete reference implementation
• Universal AI Card format (v1.0) with SPIFFE identity
• Original A2A AgentCard (v0.3.0) for comparison
• Comprehensive conversion guide
• Production patterns demonstrated (Hard Mode, Inline Deployment, Dual Memory)

OSS Standards

• CONTRIBUTING.md - Complete development guide (556 lines)
• CODE_OF_CONDUCT.md - Contributor Covenant v2.0
• SECURITY.md - Vulnerability reporting and security practices

Documentation Improvements

• Fixed 8 duplicate document numbers (history preserved)
• Updated 6767 master index with all 28 canonical standards
• Resolved all broken links
• Achieved R6 compliance (docs/ → github-pages/)

📊 Metrics

• Documentation: 145 files (141 → 145)
• Quality Score: 95/100 (85 → 95)
• Test Coverage: 65%+
• Hard Mode Compliance: 100%
• Broken Links: 0 (6 → 0)
• R6 Violations: 0 (1 → 0)

🔗 Key Documentation

• Linux Foundation PR Preparation AAR
• Repository Quality Audit
• 6767 Master Index
• AI Card Examples README

✅ Next Steps

• Submit PR to Linux Foundation AI Card repository
• Community review and feedback
• Potential adoption as canonical reference implementation

Full Changelog: v0.12.0...v0.13.0

🚀 Release v0.11.0

Milestone: Agent Engine Deployment Readiness

This release represents full production readiness for Vertex AI Agent Engine deployment with comprehensive A2A protocol support and built-in monitoring strategy.

✨ Highlights

• Full A2A Protocol Implementation - Foreman AgentCard created with complete agent-to-agent discovery
• Built-in Monitoring Discovery - Vertex AI Agent Engine provides automatic metrics (no custom infrastructure needed!)
• Production CI/CD Pipeline - ARV gates, smoke tests, and deployment automation ready
• 171 Tests Passing - Comprehensive test coverage with AgentCard validation

📊 Key Metrics

• 59 commits since v0.10.0
• 2 major phases completed (21 & 22)
• 4 comprehensive AARs documenting all work
• 0 custom monitoring infrastructure needed (using built-in)

🔄 Changes

See CHANGELOG.md for detailed changes.

📦 What's Included

• Foreman agent ready for deployment
• Complete operator runbooks
• Monitoring strategy documentation
• Production-grade CI/CD workflows

🚀 Next Steps

1. Deploy agents to Vertex AI Agent Engine
2. Create monitoring dashboards using built-in metrics
3. Begin worker agent implementation

This is a canonical ADK reference implementation.