Agentic AI Operations & Cost Pack
Analyse agent call metadata to identify latency, error and estimated-cost issues and assign operational responses.
Includes an independent local Git repository, Python offline analysis, PowerShell wrappers, editable JSON inputs, fictional example and expected results, six review domains with 24 evidence prompts, decision/risk/action templates, and incident-runbook resources, user-supplied token-rate cost estimates, missing-price alerts, nearest-rank call P95, error and budget checks. Python 3.10+ standard library required; optional PowerShell 7.2+.
Included three-hour MGCA assessment: 30 minutes preparation, 90-minute remote workshop and 60 minutes written findings. One defined agent initiative; up to 100 redacted metadata call records. Output: an operational evidence review, prioritised cost/reliability findings and a monitoring/runbook action plan. Request within 90 days through sales@mgca.co.uk with order reference; remote appointment by agreement. Further work is optional and separately scoped/priced.
Version 0.2.4 planning and analysis toolkit. Offline Python tests and fictional example verified. PowerShell runtime and real model/framework/cloud integrations remain unverified. Call-level metrics are not run-level SLOs. No live monitoring, automatic price feed or OpenTelemetry conformance is supplied. Local repository supplied; no hosted GitHub service or managed deployment.
One purchasing organisation internal use, including contractors working for it. No redistribution, resale, sublicensing or client-delivery use without separate agreement. Supplied-file defect support at sales@mgca.co.uk. No certification, guaranteed outcomes, response SLA or future-update entitlement. Statutory rights preserved. Created by MGCA Ltd.
