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darkhunt-telemetry-python
darkhunt-telemetry-python contient 2 skills collectées depuis darkhunt-security, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use this skill when integrating `darkhunt-telemetry` (the Darkhunt trace-hub PYTHON SDK at /Users/sergey/proj/darkhunt/darkhunt-telemetry-python) into a Python service. Covers: install (published on PyPI), singleton client setup, trace + generation + span emission via the `with`-based active-context helpers, backdated `start_time`, graceful shutdown, routing-field discipline (tenant_id / workspace_id / application_id), creating an OBSERVABILITY application via the Darkhunt MCP, in-cluster vs public ingest, the masking layer, and — the big part — multi-agent topology + agent handoffs across every Python transport (an in-process contextvars carrier, orchestrator-passed traces, a LangGraph state field, the HTTP `traceparent` header, a queue metadata field, and Temporal Headers via `HandoffInterceptor` + `child_args`). Auto-invoke when the user asks to add LLM tracing/observability to a Python app, send spans to trace-hub, wire `DarkhuntTelemetry` / `client.trace()` / `trace.generation()`, or build a multi-agent
Use this skill when integrating `darkhunt-telemetry` (the Darkhunt trace-hub PYTHON SDK, published on PyPI) into a Python service. Covers: install (published on PyPI), singleton client setup, trace + generation + span emission via the `with`-based active-context helpers, backdated `start_time`, graceful shutdown, routing-field discipline (tenant_id / workspace_id / application_id), creating an OBSERVABILITY application via the Darkhunt MCP, in-cluster vs public ingest, the masking layer, and — the big part — multi-agent topology + agent handoffs across every Python transport (an in-process contextvars carrier, orchestrator-passed traces, a LangGraph state field, the HTTP `traceparent` header, a queue metadata field, and Temporal Headers via `HandoffInterceptor` + `child_args`). Auto-invoke when the user asks to add LLM tracing/observability to a Python app, send spans to trace-hub, wire `DarkhuntTelemetry` / `client.trace()` / `trace.generation()`, or build a multi-agent Python system where agents hand off to