FailproofAI
OrganizationObservability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.
Categories
Indexed Skills (3)
mintlify
Build and maintain documentation sites with Mintlify. Use when creating docs pages, configuring navigation, adding components, or setting up API references.
fp-cloud-cli
The way to answer "how are my production AI agents doing?" and to run the team's agent-observability deployment — reach for it even on casual phrasing that names no tool. Trigger when the user wants to: • inspect agent telemetry — did agents error/fail/go flaky; sessions, events, latency, token usage, slowest models; eval/quality scores and whether quality dropped; • operate the deployment — ack/assign/resolve/mute/dismiss issues (alerts, reports, and audit findings) with notes; run and triage audits; see who has access and change roles (e.g. read-only); create or scope API keys (e.g. a push-only CI key); change settings; run saved or ad-hoc ClickHouse queries. Served by the `fp` CLI against FailproofAI Cloud. NOT for writing or designing an evaluator service / scoring logic (that's `agenteye-evaluator`), adding SDK/instrumentation to your app (that's `failproofai-sdk`, imported as `failproofai_sdk`), debugging the collector/daemon, or unrelated dev work (why a build/CI run failed, rotating non-FailproofAI Cl
failproofai-sdk
The way to make an AI agent report what it did to Failproof AI — planning what to record, writing the instrumentation, and proving the events land. Reach for it on vague phrasing too: "add observability to my agent", "why isn't my agent showing up?" Trigger when the user wants to: • plan an integration — which points in their agent loop to record, and what the platform must see before sessions, errors, and evals work at all; • write or fix instrumentation — add the `failproofai_sdk` Python SDK to an agent codebase, thread session/agent identity through it, emit tool, model, hook, or human events; • verify it — confirm events are being written, or debug an integration that looks correct and produces nothing. Served by the `failproofai_sdk` Python SDK, inside the user's own agent. NOT for reading telemetry that already landed or operating a deployment (that's `fp-cloud-cli`), or building the evaluator service that scores runs (that's `agenteye-evaluator`).
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