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telemetry - Functional Specification

Version: v1.2.3 | Status: Active | Last Updated: March 2026

Purpose

The telemetry module provides a unified observability framework based on the OpenTelemetry standard. It allows the system to record, correlate, and analyze the performance and behavior of distributed workflows.

Design Principles

Compatibility

  • Adheres to OpenTelemetry (OTLP) specifications.
  • Supports standard span attributes (HTTP status, error codes, component names).

Distributed Traceability

  • Enables propagation of trace context across process and network boundaries.
  • Supports parent-child span nesting for recursive workflows (e.g., agent task decomposition).

Metrics and Observability

  • Supports recording and aggregating performance metrics (Counters, Gauges, Histograms).
  • Provides a centralized dashboard for real-time system visibility.

Functional Requirements

Span Management

  • Creation and termination of spans with millisecond precision.
  • Attachment of semantic attributes and events to spans.
  • Automatic span status propagation (OK, ERROR, UNSET).

Context Propagation

  • Support for W3C Trace Parent headers.
  • Thread-safe and async-aware local context management.

Data Export

  • OTLP/HTTP and OTLP/gRPC support (where dependencies allow).
  • Buffering and batching of span data for high-throughput scenarios.

Metrics (Consolidated)

  • Support for standard metric instruments: Counter, UpDownCounter, Gauge, Histogram.
  • Time-series aggregation and periodic export.
  • Dimensionality support through metric attributes.

Dashboard (Consolidated)

  • Real-time visualization of traces and metrics.
  • Sub-second updates for critical system health indicators.
  • Correlated view of logs, traces, and metrics.

Interface Contracts

TraceContext

  • start_span(name: str, parent: Optional[Span]) -> Span
  • traced(name: str, attributes: dict): Decorator interface.
  • link_span(span: Span, target: Span): Context linking.
  • get_current_span() -> Optional[Span]

Metrics

  • create_counter(name: str) -> Counter
  • create_gauge(name: str) -> Gauge
  • create_histogram(name: str) -> Histogram
  • record_metric(name: str, value: float, attributes: dict)

Dashboard

  • start_dashboard_server(port: int)
  • register_view(metric_name: str, chart_type: str)
  • update_display()

Quality Standards

  • Comprehensive unit tests for context propagation.
  • Benchmarking of span start/end overhead.
  • ≥80% test coverage.

Navigation

API Usage

import codomyrmex.telemetry