feat(release): v0.2.21 - #329
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…an data tier (#280) (#281) * feat(reliability): harden exception handling, optimize telemetry & clean data tier (#280) - Harden exception handling across AI, Git, Security, and Core modules with explicit error types and context - Prevent silent error suppression and arbitrary default fallbacks across public APIs - Optimize Jaeger/OTel traces, Prometheus metrics, and FluentBit logging configurations - Enhance GitHub rate limiting client with header tracking and proactive quota safety - Clean up .data directory handling, configure dedicated data.dir path, and deduplicate config writes - Add forward-looking roadmap initiatives for process group management and merge readiness - Expand test suites and architectural invariants for data dir config and stray script prevention - Track deliverable completion in docs/agent/tasks/task-280-harden-exceptions-telemetry-data-tier.md * fix(security): sanitize CodeQL clear-text secret logging in settings and credentials (#280)
…nd context-aware file review (#283) (#284) - Implement dynamic least-loaded slot leasing across candidate Ollama servers using condition variables to prevent Head-of-Line blocking. - Add multi-layered file classification (shebangs, MIME types, AST/JSON/YAML/TOML parsing, canonical filenames/extensions) to route documentation, configuration, and code files to specialized review task prompts and persona subsets. - Optimize review pre-analysis batching to run static AST extraction without redundant LLM chat calls. - Fix OTelTyper lazy proxy registration to attribute code.namespace and code.function to target commands and eliminate duplicate telemetry attributes. - Add comprehensive test suites for slot leasing, file classification, and telemetry deduplication.
* docs(roadmap): expand v0.2.24 with 8 vibes-grounded improvements from Obs 18-20, Systems 09-10 New roadmap items derived from empirical vibes observations: P0 - Critical: - Lazy Domain-Gated MCP Tool Schema Hydration (Obs 18): 100+ tools consume 25% of context window; lazy hydration reclaims 85% - Pipeline Stage Context Budgeting & Invariant Pinning (Obs 19): sequential pipeline context bloat; invariant eviction under multi-turn drift - Capability-Gated Model Failover & AIMD Batch Recovery (Obs 20): 70B→14B failover cliff; one-way embedding batch ratchet P1 - High: - Lossless Structured Error Reflection for Schema Retries (Obs 19): 256-char truncation forces multi-turn retry loops - Background Shell Pipe Deadlock Fix & Output Contract (Systems Obs 09): 64KB pipe buffer deadlock on verbose commands - Structured Constraint Propagation Across Subagent Delegation (Systems Obs 09): 3-layer delegation retains only 61% fidelity - MCP Resource-First Data Access & Tool Output Sandboxing (Systems Obs 10): Resources 3x cheaper for read-heavy patterns - Lossless Structured Error Reflection (Obs 19): single-turn correction via structured field-path errors * feat(ai): priority classification for AI/LLM requests (#285)
…e LightLLM and Portkey AI routing (#292) * feat(ai, k8s): prioritize roadmap into 0.3.x-0.5.x lines and integrate LightLLM and Portkey AI routing * feat(roadmap, k8s): add turnkey Grafana dashboards for all Kubernetes stacks (#293) (#294) * feat(roadmap, k8s): add turnkey Grafana dashboards for all Kubernetes stacks (#293) * docs(sdlc): fix Phase 6 Mermaid release choreography diagram
…s, and project fields (#327)
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feat(release): v0.2.21
Summary
Release
v0.2.21tracking PR under GitHub pull request merge controls.Included Deliverables
devops ai read --inspect) #272Release Notes
Added
devops_cli.ai.inspect):devops ai read --inspect).devops_cli.ai.cost):spend.db) tracking request tokens, backend server endpoints, model names, durations, and approximate USD spend without blocking execution (devops ai spend,devops ai cost report).devops ai cost set-price)./metrics) and dedicated Grafana observability dashboard (k8s/monitoring/dashboards/ai-spend.json).devops_cli.ai.gateway,devops_cli.ai.models):high), pipeline tasks (normal), and background jobs (as_available).devops_cli.ai.gateway,devops_cli.ai.models):devops_cli.ai.client,devops_cli.ai.review):devops_cli.github.release_epics,devops_cli.github.roadmap_sync):devops release epic) and FastMCP toolrelease_epic_sync.v0.2.22(feat(k8s): kubernetes dynamic informer architecture, event streaming & subprocess elimination research #307–feat(cli): rich renderables architecture, terminal capability negotiation & universal output serialization research #326) with local task file generation indocs/agent/tasks/.Fixed & Hardened
devops_cli.telemetry,devops_cli.core.exceptions):SpendLedgerusing parameterized SQLite queries.Quality Gate Checklist
devops ci)README.mdsynchronizedpyproject.tomlandsrc/devops_cli/__init__.pyrelease/v0.2.21