adk_dart 2026.10.7

Core Dart port of Agent Development Kit (ADK) runtime primitives.

2026.10.7

• Upstream adk-python v2.11.0+ & Cross-SDK Parity:
  • BaseAgent & InvocationContext Callback List Normalization & Resumability:
    • Added canonicalBeforeAgentCallbacks / canonicalAfterAgentCallbacks list normalization in BaseAgent to support single callbacks or lists seamlessly.
    • Enabled BaseAgent.runAsync and runLive to skip directly to sub-agents when resuming an already-populated agentStates invocation without re-firing beforeAgentCallback.
    • Reset child agent state cleanly upon completion (resetSubAgentStates) so LoopAgent and iterative workflows re-enter sub-agents fresh on subsequent iterations.
  • RemoteA2aAgent & AgentTransfer Description Resolution:
    • Exposed resolvedDescription on RemoteA2aAgent and updated buildTransferTargetInfo (transfer_to_agent) to prefer resolved A2A agent card descriptions when building transfer target instructions.
  • Compaction & Context Management (EventsCompactionConfig):
    • Added pre-LLM sliding-window compaction (runCompactionForSlidingWindow with skipTokenCompaction) and exposed appName / userId on BaseEventsSummarizer.maybeSummarizeEvents.
    • Removed deprecated EventCompactor aliases and added LlmRequest.totalTokenCount().
  • Skills & Artifact Tooling (SkillToolset, LoadArtifactsTool, GcpSkillRegistry):
    • Added saveOutputArtifacts option to SkillToolset (RunSkillScriptTool) to automatically persist files generated in ADK_OUTPUT_DIR to ArtifactService.
    • Added binary-safe Part.asSafePartForLlm() placeholder formatting ([Binary artifact: ...]) across LoadArtifactsTool and injectSessionState.
    • Hardened injectSessionState regex (_validIdentifierPattern) so shell variables like ${VAR} are ignored rather than treated as session state templates.
    • Added SkillSource, parseSkillPath, and path-prefix routing (local: vs gcp:) in GcpSkillRegistry.
    • Added customMetadata persistence and preservation across InMemoryArtifactService.
  • Tooling & Security (BashToolPolicy, McpTool, RestApiTool, PlanReActPlanner):
    • Hardened BashToolPolicy.validateCommand with shell-tokenized command boundary matching (_commandMatchesPrefix) to prevent prefix-Confusion bypasses (e.g., git statusx vs git status), and updated ExecuteBashTool description to emit <none> when no prefixes are allowed.
    • Updated McpTool structured output handling to wrap non-Map JSON values ({"result": parsed}) and fall back to raw content blocks on invalid JSON.
    • Fixed RestApiTool.fromParsedOperation to respect explicit shouldParseResult flags and preserve raw HTTP response strings when parsing is disabled.
    • Updated PlanReActPlanner to preserve thought parts on the final model response so thoughtSignature metadata survives multi-turn history.
  • Evaluation Framework (HallucinationsV1Evaluator, PerTurnUserSimulatorQualityV1):
    • Added InvocationEvent.groundingMetadata and getGroundingMetadataAsJsonStr to include search grounding chunks in HallucinationsV1Evaluator prompts, added Label.partiallyValid (partially_valid: 0.5), and disabled automatic function calling on judge requests via buildJudgeRequestConfig.
    • Refined PerTurnUserSimulatorQualityV1 stop-signal detection to match stopSignal on whole words / non-letter boundaries rather than arbitrary substrings.
• ADK Web UI & Built-in Agent Builder Assistant:
  • Updated packages/adk/lib/src/cli/browser/ with the latest adk-web production bundle (main-FSTPJ7PI.js).
  • Synced packages/adk/lib/src/cli/built_in_agents/ with the latest upstream adk_agent_builder_assistant, adding utils/_adk_symbols.py symbol lookup and removing deprecated sub-agent stubs.
• Examples & Quality Assurance:
  • Added examples/19_skills_and_output_artifacts showcasing local skill discovery (examples/skills), SkillToolset(saveOutputArtifacts: true), and safe binary artifact instruction injection.
  • Updated examples (04, 11, 12, 13, 15, 17, packages/adk/example) with Dart 3.10 dot-shorthand syntax and v2.11.0+ feature demonstrations.
  • Added test/upstream_v2_11_0_parity_test.dart (19 new parity tests; 1,493 passing tests in adk_dart and 159 in packages/adk) with 0 analyzer issues.

2026.9.11

• Upstream adk-python v2.9.0 Feature Parity:
  • LlmAgent & BaseNode / BaseAgent Tool Interop:
    • Automatically adapts BaseNode instances passed in LlmAgent(tools: ...) or tool_union into NodeTool(node: t, description: t.description).
    • Explicitly rejects BaseAgent instances passed into tools with ArgumentError, guiding users to invoke agents as sub-agents.
    • Preserved list object identity when no tools need adaptation to avoid shallow copy discrepancies during clone operations.
  • Workflow & NodeTool Unwrapping & State Propagation:
    • buildNode in workflow.dart unwraps NodeTool directly to its underlying nodeLike.node (BaseNode), preventing nested wrapper overhead.
    • ToolNode.run falls back to invocationContext.session.state for missing required parameters declared in tool schema.
    • ToolNode.run persists and merges toolContext.actions.stateDelta directly into session.state.
  • LoadArtifactsTool Scope Guard & Resolution:
    • Guarded artifact loading against untrusted model requests for out-of-scope files by cross-checking against session-listed artifact names.
    • Added user namespace auto-resolution (resolving user:filename when requested as filename, and vice-versa) while preserving requested labels in model prompt feedback.
    • Discards malformed or non-list artifact_names tool parameters gracefully.
  • Runner State Delta on Resume without New Message:
    • Supported applying stateDelta when resuming an invocation by invocationId with newMessage: null, recording an actions-only event in session event history.
  • Workflow Failure Rehydration on Resume:
    • Rehydrates failed nodes without output as NodeStatus.failed with stale outputs removed, correctly scheduling them for retry on invocation resume.
    • A succeeded retry cleanly clears prior node errors and marks the status as NodeStatus.completed.
  • Streaming Control Flag Inheritance in Model Callbacks:
    • Added _inheritUnsetStreamingFields in BaseLlmFlow so afterModelCallback replacements inherit partial and turnComplete flags when omitted.
  • Agent Transfer Authorization Guard:
    • Restricted transfer_to_agent execution to declared transfer targets, preventing unauthorized agent escalation and giving explicit error messages when transferring to disallowed parent or peer agents.
  • Prune Orphaned Function Calls on Interrupted Turns:
    • Implemented _dropOrphanedFunctionCalls in contents.dart to prune unanswered tool calls when a turn is interrupted by a user message, while properly preserving long-running tool IDs (longRunningToolIds).
• Quality Assurance:
  • Added dedicated comprehensive parity test suite test/upstream_v2_9_parity_test.dart (12 test cases).
  • 100% test pass rate across entire test suite (1,474 passing tests).
  • 0 analyzer warnings / 0 analyzer errors.

2026.9.7

• Model Fallbacks & Resilience:
  • Added FallbackModel (lib/src/models/fallback_model.dart): transparently retries requests across fallback models upon transient failures, rate limits, or service unavailability.
  • Added Anthropic Claude modelVersion metadata support in AnthropicLlm.
• Workflow & Graph Orchestration:
  • Supported direct transition from START node to JoinNode in Workflow Graph builder.
  • Enhanced graph cycle detection and topological ordering for complex multi-agent DAGs.
• Interactions API & Streaming Parity:
  • Added indexed delta tracking in InteractionsLlmRequestProcessor to ensure reliable streaming chunk sequencing and index mapping during multi-part streaming responses.
• Tooling & MCP Enhancements:
  • Added skipSummarization support on McpTool and A2aClient terminal nodes, bypassing redundant LLM summarization passes after deterministic tool executions.
  • Unified SkillToolset tool filtering logic (toolFilter) for consistent function exposure across skill namespaces.
  • Resolved unawaited_return_in_try_block lint warnings across sandbox code executors (AgentEngineSandboxCodeExecutor, ContainerCodeExecutor, GkeCodeExecutor), GcpSkillRegistry, McpTool, and Tracing to prevent early resource cleanup race conditions.
• Agent Evaluation (Eval) Framework:
  • Implemented not_evaluated metric reporting in EvalSetResultsManager and evaluation rubrics.
• ADK Web UI & Developer Experience:
  • Rebuilt and synced adk-web Angular bundle into packages/adk/lib/src/cli/browser/, featuring multimodal Live video response streaming, improved execution trace inspector, and updated session timelines.
• Dependencies & Engine Stability:
  • Upgraded dependencies: archive: ^4.2.0, sqlite3: ^3.5.2, yaml: ^3.1.4, test: ^1.32.0, analyzer: ^14.3.0.
  • Maintained 100% test pass rate (1,462 tests) and clean static analysis.

2026.8.17+3

• Updated default model baseline across LlmAgent to gemini-3.7-flash.
• Exported LiteLlm in adk_core.dart for Web-safe local LLM (Ollama / LM Studio) integration without dart:io dependencies.

2026.8.17+2

• Updated all README installation and dependency configuration sections across all ecosystem packages to 2026.8.17+2.

2026.8.17+1

• Full Decoupling & Migration of packages/adk CLI Toolchain:
  • Physically migrated all CLI submodules (lib/src/cli/, lib/src/dev/, lib/src/cli/browser/, Angular Web UI static bundle) and 19 CLI/Dev test suites into packages/adk.
  • Fully purged all CLI/Dev/WebServer code and executables from adk_dart, establishing adk_dart as a 100% pure Core SDK library package.
  • Configured packages/adk as a standalone binary package publishable to pub.dev with direct dependency declarations.
• 100% CLI Parity with adk-python:
  • Created official parity matrix documentation in docs/architecture/cli_parity_matrix.md.
  • Implemented adk telemetry (enable, disable, status) subcommands for telemetry preference management.
  • Implemented adk test [folder] for executing agent test suites.
  • Added Dart-ecosystem diagnostic command adk doctor / adk diag displaying system, SDK, architecture, and path diagnostics.
• Examples Modernization & gemini-3.7-flash Upgrade:
  • Upgraded all 18 examples in adk_dart/examples and CLI starter templates to use gemini-3.7-flash by default.
  • Applied Dart 3.8+ dot-shorthands (.userText(...), .modelText(...), .user, .text(...)) across all example entrypoints.
• Quality Assurance:
  • 100% test pass rate across all workspace packages: 1,369 tests in adk_dart, 159 tests in packages/adk, 11 tests in flutter_adk, 12 tests in adk_mcp, 5 tests in adk_litertlm (1,556 tests total).
  • 0 analyzer warnings / errors across packages/adk, packages/flutter_adk, packages/adk_mcp, packages/adk_litertlm, and examples.

2026.8.17

• Synced latest core features & bug fixes from adk-python v2.7.0, adk-js v1.6.0, adk-go v2.2.0, and adk-kotlin v0.7.0:
  • Added LlmCapabilities (lib/src/models/capabilities.dart) model feature capability reporting system and updated BaseLlm.capabilities & Gemini.capabilities.
  • Added GetUserChoiceTool (lib/src/tools/get_user_choice_tool.dart) with getUserChoice callable helper for user choice prompts.
  • Enhanced FunctionTool with self-correction feedback returned to the model when mandatory required parameters are missing.
  • Added 20MB file size guard (maxArtifactSizeBytes = 20 * 1024 * 1024) to SaveFilesAsArtifactsPlugin to protect against oversized artifact payloads.
  • Supported multimodal media extraction (FunctionResponse.parts) from tool execution results in functions.dart.
  • Added automatic orphaned function_response pruning (_dropOrphanedFunctionResponses) in ContentsLlmRequestProcessor (contents.dart).
  • Improved InMemoryMemoryService with tuple record keys ((appName, userId)) to prevent delimiter collisions when identifiers contain slashes.
  • Enhanced StreamingResponseAggregator to preserve thoughtSignature across streamed text chunk runs without premature buffer flushing.
  • Aligned Gemini EAP model detection regex in model_name_utils.dart (r'^gemini-(?:[a-z0-9_]+(?:-[a-z0-9_]+)*-)?early-exp\d*$').
  • Added StaleSessionError (lib/src/errors/stale_session_error.dart) for optimistic concurrency write conflicts in database and SQLite session services.
  • Implemented Live API Voice Activity Detection (VAD) with VoiceActivity, VoiceActivityType, and explicitVadSignal in RunConfig and LiveConnectConfig.
  • Added FunctionResponseScheduling (whenIdle, silent, interrupt) and non-blocking background tool execution dispatching (activeNonBlockingToolTasks) in Live mode.
  • Implemented Workflow as Tool (WorkflowTool and Workflow.asTool()) allowing workflows to be invoked directly via function calling.
  • Added EventarcToolset and publishEventarcMessage for publishing structured CloudEvents 1.0 to Google Cloud Eventarc Advanced message buses.
  • Added DaytonaEnvironment execution environment for remote isolated cloud workspace sandboxes.
  • Implemented LlmAudioUserSimulator for multimodal speech/TTS conversation simulation and evaluation.
  • Added DatabaseSessionService.prepareTables() and BaseSessionService.prepareTables() for proactive table creation and migration.
  • Added create_data_agent tool in DataAgentToolset.
  • Added memory_id and allowed_topics support in VertexAiMemoryBankService.
  • Added Gemma 4 regex pattern matching (gemma-(3|4).*) in GemmaLlm.supportedModels().
  • Added comprehensive parity unit test suite in test/recent_upstream_parity_features_test.dart (1,517 total tests passing).

2026.7.30

• Bumped package release versions to 2026.7.30 for adk_dart, adk, adk_mcp, flutter_adk, and adk_litertlm.
• Added ReflectAndRetryModelPlugin (lib/src/plugins/reflect_retry_model_plugin.dart) for framework-level LLM error recovery, self-healing reflection tool calls (adkHandleModelError), and retry tracking.
• Added FunctionTool declaration caching (_cachedDeclaration) to eliminate redundant parameter schema rebuilds during agent turns.
• Standardized SessionNotFoundError handling across session services, agent runners, and dev web server.
• Updated MCP protocol support to official specification version 2026-07-28 (mcpLatestProtocolVersion = '2026-07-28').
• Added elicitationCallback support (elicitation/create and notifications/elicitation/complete) to McpToolset and McpSessionManager for client-side user input & OAuth challenge handling.
• Added AdkAgentMcpServer (lib/src/tools/mcp_tool/agent_to_mcp.dart) to expose any ADK BaseAgent as a compliant MCP server over tool interfaces.
• Implemented LoadWebPageTool and EnterpriseWebSearchTool (ported from adk-js) for web scraping with SSRF prevention and Vertex AI search grounding.

2026.7.24

• Bumped package release versions to 2026.7.24 for adk_dart, adk, adk_mcp, flutter_adk, and adk_litertlm.
• Synced latest core features & bug fixes from adk-python (be5828f3..07455ee6):
  • Added user labels (labels) support in RunConfig and automatic merging in BasicLlmRequestProcessor to propagate Vertex AI billing/attribution labels.
  • Guarded resumable invocation replay in BaseLlmFlow against partial streaming function-call SSE events to prevent replay loops.
  • Expanded AnthropicLlm finishReason mapping to support pause_turn (STOP) and refusal (SAFETY).
  • Fixed VertexAiSessionService.getSession to apply afterTimestamp server-side filtering alongside numRecentEvents.
  • Added opt-in finalResponseToolNames to BigQueryAgentAnalyticsPlugin to log final answer tool call payloads as AGENT_RESPONSE events.
• Added comprehensive unit test suite in test/python_upstream_updates_test.dart (1,105 total unit tests passing).
• Fixed nested workflow resume by yielding resolved outputs of resumed request-input nodes on resume instead of skipping them.
• Fixed AgentNode.run event loop to not misclassify endOfAgent and agentState checkpoint events as finalEvent.
• Enhanced LoadArtifactsTool with Gemini unsupported inline MIME type blocklist (SVG/XML image variants) to deliver them as text.
• Rebuilt and updated the bundled Web UI assets (adk-web) to the latest version to support nested navigation breadcrumbs, bidi streaming restarts, and usage token counts.
• Renamed the example folder to examples and reorganized all code examples into self-contained, user-friendly Dart project templates with individual README.md and dependency setup files in 4 languages (KO, EN, JA, ZH).
• Implemented a default HTTP completions invoker inside LiteLlm supporting streaming (SSE) and non-streaming requests to connect out-of-the-box with Ollama and LiteLLM servers.
• Added new local model examples: 08_local_llm_ollama_litellm (Ollama/LiteLLM integration via LiteLlm client) and 09_local_llm_litert (on-device Gemma inference via adk_litertlm sub-package).

2026.7.11

• Bumped package release versions to 2026.7.11 for adk_dart, adk, adk_mcp, flutter_adk, and adk_litertlm.
• Added ADK 2.0 Managed Agent support: ManagedAgent and RemoteMcpServer for server-side tool execution via the GCP Interactions API.
• Added environmentId propagation across LlmResponse, Event, session persistence, and telemetry tracing.
• Added isManagedAgent toggle to LlmRequest for grounding tool check bypass in managed workflows.
• Updated InteractionsProcessor.findPreviousInteractionState to return both previousInteractionId and environmentId for turn-to-turn chaining.
• Added isEnterpriseModeEnabled helper in env_utils.dart.
• Added ADK 2.0 Workflow & Managed Agent documentation to README (EN/KO).
• All 1,365 tests passing.

2026.6.6

• Bumped package release versions to 2026.6.6 for adk_dart, adk, adk_mcp, and flutter_adk.
• Updated the exported ADK runtime baseline version to 2.2.0 to match the current local adk-python reference baseline.
• Added broad workflow parity coverage, including workflow nodes, routed edges, dynamic run IDs, request-input helpers, retry/cancellation/concurrency handling, terminal-output ownership, replay/resume/rehydration, nested workflow events, graph serialization, and status-aware graph DOT output.
• Expanded runtime event and conversion parity with structured events, node path building, A2A part metadata preservation, Event convenience routing, and output-key callback visibility coverage.
• Added and exposed newer integration/tool surfaces, including GCP Skill Registry, BigQuery integration exports, environment tools, public skill tools, URL/load-web-page handling, Vertex RAG retrieval updates, and OpenAI labs adapter support.
• Hardened model, streaming, and tool-call behavior across Gemini schemas, Anthropic/LiteLLM/Apigee paths, REST streaming function continuations, streaming tool-call preservation, and cooperative abort handling.
• Added telemetry/plugin parity updates, including metrics instrumentation, auto tracing plugin support, BigQuery analytics hardening, and save-files-as-artifacts behavior updates.
• Refreshed flutter_adk example and documentation surface and consolidated repository documentation under docs/knowledge and docs/worklog.

2026.4.17

• Bumped package release versions to 2026.4.17 for adk_dart, adk, adk_mcp, and flutter_adk.
• Updated the exported ADK runtime baseline version to 1.31.0 to match the current adk-python main baseline.
• Rolled the release forward with the latest live runtime parity fixes, including reconnect control-flow hardening, goAway surfacing, and remaining session/runtime parity closures.

2026.3.21

• Bumped package release versions to 2026.3.21 for adk_dart, adk, adk_mcp, and flutter_adk.
• Added latest parity coverage for session persistence and storage safety, including stricter stale-session detection, Vertex AI session metadata round-tripping, LiteLLM Anthropic thinking-block support, and Spanner database_role propagation.
• Added March 18-19 parity coverage for the experimental SpannerAdminToolset, including admin client/runtime factories, bootstrap wiring, and regression tests.
• Added environment_simulation rename-compatible exports and factory aliases on top of the existing agent simulator runtime.
• Hardened Anthropic tool-result serialization so arbitrary map/list payloads are emitted as JSON instead of lossy stringified Dart map text.
• Closed the latest four-day parity tail by adding MCP sampling callback/capability wiring across adk_mcp, McpSessionManager, and McpToolset, with HTTP integration coverage.
• Added multi-turn evaluation metric support for task success, trajectory quality, and tool-use quality, including registry/metric-info wiring and regression tests.
• Added Slack runner, Agent Registry integration, and GCP IAM connector compatibility surfaces to close remaining 3/19 runtime gaps.
• Added latest ref parity updates for A2A action-metadata round-tripping, toA2a(..., lifespan: ...), compaction safety around pending function calls, structured Discovery Engine datastore fallback, and feature-gated snake_case skill names.
• Added import-path compatibility exports for CrewAI and LangChain integrations under src/integrations/....

2026.3.13

• Bumped package release versions to 2026.3.13 for adk_dart, adk, adk_mcp, and flutter_adk.
• Expanded the post-2026.3.6 Python parity rollout across skills runtime/GCS loading, API Registry discovery, A2A resume and long-running execution, Anthropic runtime transport/streaming, GEPA root-agent optimization, and BigQuery analytics view automation.
• Added March 10-12 parity updates covering auth provider registry resolution, MCP UI widget actions, optimize CLI/local eval sampling, OpenAPI/artifact ordering fixes, Gemini live grounding metadata, LiteLLM thought signatures, and conformance SSE record/test flows.
• Aligned tail parity for agent version propagation and telemetry, context UI widget handling, Apigee reasoning token usage parsing, LiteLLM output schema with tools, positional adk conformance record <path> [none|sse] parsing, and MCP schema-aware function declarations.

2026.3.6

• Bumped package release versions to 2026.3.6 for adk_dart, adk, adk_mcp, and flutter_adk.
• Fixed nested .adk/session.db path creation when app directory mappings resolve to absolute agent paths.
• Applied the March Python parity batch covering temp-scoped session state visibility, listAgents() agent filtering, gen_ai.agent.version telemetry, LiteLLM reasoning parsing, and Bigtable cluster metadata tools.

2026.3.2+4

• Added Python-style positional deploy target support: adk deploy cloud_run|agent_engine|gke in addition to --target.
• Added deploy CLI regression coverage for positional target parsing and execution.

2026.3.2+3

• Implemented adk conformance test --mode live execution path so discovered conformance specs are run against the target ADK server instead of returning a placeholder failure.
• Added live-mode CLI regression coverage with an in-process ADK web server and a real spec.yaml case.

2026.3.2+2

• Fixed adk web/adk api_server project loading to use the same agent-root resolution path as adk run, preventing unintended fallback to demo-time responses.
• Added /run request support for per-request auto_create_session/autoCreateSession overrides and automatic missing-session creation when enabled.
• Added regression coverage for /run auto-session creation and verified search-grounding tool wrapping parity (VertexAiSearchTool -> DiscoveryEngineSearchTool) in multi-tool bypass mode.
• Completed Effective Dart API doc-comment coverage for public declarations across adk_dart, adk, adk_mcp, and flutter_adk (lib surfaces).

2026.3.2+1

• Bumped package release versions using build metadata (2026.3.2+1) for adk_dart, adk, adk_mcp, and flutter_adk.
• Improved adk CLI parity for run/web/conformance flows to better match adk-python behavior.
• Fixed adk run . project path resolution when running from the agent directory.
• Updated conformance client/server wiring (/apps/.../sessions, /run_sse) and replay validation/report handling, including non-zero exit on test failures.
• Hardened local .adk path handling and project directory validation, with expanded CLI/web regression tests.

2026.3.2

• Bumped package release versions to 2026.3.2.
• Updated cross-package dependency alignment (adk_dart / adk / adk_mcp / flutter_adk) for the new release.

2026.3.1

• Hardened A2A push callback delivery with a persistent SQLite queue, retry/backoff policy handling, startup/background drain, and dead-letter capture.
• Added A2A delivery reliability coverage in test/dev_web_server_test.dart, including persisted queue replay after restart.
• Added live network backend integration tests for PostgreSQL/MySQL session services (env-gated via ADK_TEST_POSTGRES_URL / ADK_TEST_MYSQL_URL).
• Added unified runtime adapter bootstrap APIs: configureToolRuntimeBootstrap(...) and resetToolRuntimeBootstrap(...).
• Added global default audio recognizer registration support via AudioTranscriber.registerDefaultRecognizer(...).
• Added bundled default runtime clients for BigQuery, Bigtable (admin/data), and Spanner (REST-based), removing mandatory client-factory injection for core paths.
• Added token resolution fallbacks for default cloud clients (explicit oauth token, environment variables, gcloud ADC, metadata server).
• Added built-in default Spanner embedder runtime via Vertex AI predict API (with env/full-model resource fallback handling and explicit fallback guidance).
• Added built-in default Toolbox HTTP delegate (/api/toolset/*, /api/tool/*/invoke) so ToolboxToolset can run without pre-registered delegate wiring.
• Added built-in live HTTP/auth providers in GcsArtifactService, removing mandatory provider injection for direct service usage.
• Ported telemetry parity for inference span/experimental semconv paths and added regression coverage.
• Added telemetry parity worklog and aligned package release versions to 2026.3.1.
• Updated parity tests to validate concrete default Bigtable/Spanner client availability.
• Refreshed runtime checklist and README feature matrix to reflect current implemented behavior.

2026.2.28

• Switched package versioning scheme to date-based YYYY.M.D.
• Expanded adk web / adk api_server parity surface with bundled /dev-ui serving and broader API route compatibility.
• Hardened MCP transport/session behavior through adk_mcp integration updates and related tests.
• Replaced deprecated mysql1 runtime dependency with mysql_client_plus in network session backend wiring.
• Added MySQL secure-fallback connect behavior for auth plugins that require TLS (for example caching_sha2_password).
• Added MySQL TLS hardening options (ssl_ca_file, ssl_cert_file/ssl_key_file, ssl_verify) with fail-fast validation for invalid TLS file configuration.
• Added runtime gap audit document for remaining non-functional/default-unwired features.

0.1.2

• Added package topics metadata on pub.dev to improve discoverability.

0.1.1

• Expanded Python parity coverage across evaluator workflows and remote code executor paths.
• Added parity ports for model contracts and toolset stacks, including Google API, Pub/Sub, and OpenAPI integrations.
• Added Spanner, Bigtable, and BigQuery client/toolset parity layers with vector store and metadata/query support.
• Added session schema/migration utilities and missing shared utility modules.

0.1.0

• Bootstrap adk_dart package as an ADK core runtime port (based on ref/adk-python).
• Added core agent/session/event/tool/model abstractions and execution flow.
• Added Runner / InMemoryRunner with async invocation path.
• Added function-call orchestration in LLM flow.
• Added baseline tests for event behavior, session service, and runner flow.