Agent Observability Contract Designer
Design a vendor-neutral telemetry contract for one AI agent workflow: traces, events, metrics, evaluations, redaction, dashboards, and alert hypotheses.
$19.99
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You say
Design an observability contract for a customer support agent that uses a RAG system and can escalate to a human. Focus on cost tracking and PII redaction.
Your agent does
### Telemetry Contract Table | Category | Required Fields | |---|---| | Run ID | `trace_id`, `run_id`, `tenant_hsh` | | Retrieval | `doc_ids`, `retrieval_latency`, `freshness_sig` | | Privacy | `pii_redaction_flag`, `policy_decision` | ### Redaction Matrix * **Prompts:** `redact` (PII) * **Tool Args:** `hash_or_tokenize`
What you get
About this skill
What it does
Turn a sanitized agent workflow into a vendor-neutral observability contract. Produce a root run model, execution graph, trace and event map, minimum field schema, data-minimization matrix, operational views, alert hypotheses, evaluation linkage plan, and a staged implementation backlog.
Best for
AI platform engineers, LLM operations teams, product owners, and technical founders who need to make an agent workflow explainable before choosing an observability vendor or writing instrumentation.
What makes it different
This is not an observability SDK, dashboard template, or log parser. It designs the evidence contract first: what operators need to see, what must be correlated, what should never be captured by default, and how quality, cost, latency, and policy outcomes remain distinguishable.
Known limitations
It does not instrument code, connect a telemetry backend, inspect live traces, process private prompts or customer content, prove coverage, or guarantee privacy, reliability, compliance, or detection.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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