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@tangle-network/sdk-telemetry

v0.1.21

Published

Usage tracking, credit management, execution-trace collection, and telemetry export for the Agent Dev Container SDK.

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Links

Git

Maintainers

drewstonedrewstone

Keywords

Readme

@tangle-network/sdk-telemetry

Usage tracking, credit management, execution-trace collection, and telemetry export for the Agent Dev Container SDK.

LLM call capture

Capture LLM calls (model, tokens, latency, prompt/completion) with OpenLLMetry, which auto-instruments the raw OpenAI/Anthropic SDKs plus 10+ frameworks and emits standard OpenTelemetry gen_ai.* spans.

  1. Instrument your app with OpenLLMetry (traceloop-sdk for Python, @traceloop/node-server-sdk for Node).
  2. Point its OTLP exporter at our trace ingest: POST /v1/otlp/v1/traces (the intelligence OTLP/HTTP-JSON adapter).

Our ingest reads the standard gen_ai.* attribute keys directly off the span attribute bag — model from gen_ai.request.model, tokens from gen_ai.usage.prompt_tokens / gen_ai.usage.completion_tokens (and the input_tokens / output_tokens spellings). The reader candidate arrays live in packages/sdk-core/src/telemetry/genai-attributes.ts; the ingest reader is parseGenAiAttribution (products/intelligence/api/src/lib/trace-attribution.ts). No bespoke provider wrapper is required.