2 Commits

Author	SHA1	Message	Date
freemo	c65e8a5285	feat(resource): add cloud infrastructure resources ... Implement cloud resource types (aws, gcp, azure) with credential fields, region/tenant metadata, and stubbed sandbox strategies. Credential resolution uses environment variables and profile names with no secrets logged. Key changes: - Add CloudResourceHandler with aws/gcp/azure type definitions - Add credential resolution from env vars and profile names - Add stubbed sandbox strategies (validate config, raise NotImplementedError) - Register cloud types in bootstrap_builtin_types - Credential masking via existing redaction patterns - Add Behave BDD tests, Robot integration tests, ASV benchmarks ISSUES CLOSED: #343	2026-03-17 13:14:37 -04:00
freemo	958eb0c060	feat(observability): implement Metrics Collection Framework (14 metric types with Histogram/Counter/Gauge) ... Implement the structured metrics collection framework covering 14 operational metric types with proper Histogram, Counter, and Gauge semantics per the spec (Architecture > Observability > Metrics Collection, lines ~43805-43825). Domain layer: - Add MetricType enum (HISTOGRAM, COUNTER, GAUGE) to metrics.py - Add MetricDefinition model and METRIC_DEFINITIONS registry mapping all 14 OperationalMetricKey values to their metric types - Extend MetricCollector with typed factory methods (histogram, counter, gauge) and 14 convenience methods (plan_duration, plan_cost, plan_decision_count, subplan_count, actor_invocation_count, actor_latency, tool_invocation_count, tool_error_rate, context_build_time, context_token_count, llm_call_count, llm_total_tokens, llm_total_cost, llm_avg_latency) - Extend MetricEntry with optional metric_type field that auto-resolves from METRIC_DEFINITIONS via MetricCollector.record() Infrastructure layer: - Add MetricsEmitter (infrastructure/observability/metrics_emitter.py) with emit(), emit_batch(), from_settings(), and enabled/disabled support for structured log emission in local mode - Add metrics_log_processor (config/metrics_processor.py) for structlog integration Configuration: - Add metrics_enabled and metrics_export_prometheus settings - Register MetricsEmitter as DI Singleton in application container Instrumentation: - Add best-effort metric emission in PlanExecutor for plan_duration (both runtime and stub execute paths) and plan_decision_count (strategize path) via _try_emit_metric helper that tolerates invalid plan IDs in test fixtures Testing: - 34 Behave BDD scenarios (features/observability/metrics_collection.feature) - 8 Robot Framework integration tests (robot/metrics_collection.robot) - ASV benchmark suite (benchmarks/bench_metrics_collection.py) Closes #579	2026-03-10 17:23:05 +00:00