Shadcn AI Agent Blocks for Run Monitoring, Approvals, and Evals
Agent products fail in operations, not in the model. Somebody has to see which runs are stuck, approve the dangerous action before it fires, read the trace when a run dies at step seven, and notice that last night's eval dropped four points. This category is the set of surfaces for that job.
It starts with the ops dashboard: KPI cards, a throughput chart, an incident Timeline, and a filterable run queue with row actions. From there you drop into a triage table with collapsible Running, Waiting, Failed, and Completed groups, then into one run's step trace with per-step tool calls, latency, and a row-editable settings panel.
The governance side is the part most teams have to invent from scratch. A per-agent tool access matrix sets each tool's mode, rate limit, and approver, a playbook wizard defines trigger, conditions, tool allowlist, and approval gate before publishing, and a run-configuration form pins reasoning model, concurrency, validated timeout, autonomy, sandbox, and retry policy.
All Agents Blocks
Open any block on its own page for a live preview, the components it is built from, and the install command.
- Solution Agents 1 AI Agent Operations Dashboard with Run Queue, Throughput Chart and Incident Timeline
- Solution Agents 2 Agent Run Queue with Collapsible Status Groups and Attention Filters
- Solution Agents 3 Agent Run Detail with Inline Step Trace and Editable Settings Panel
- Solution Agents 4 Agent Tool Access Matrix with Approval Routing and Run Policies
- Solution Agents 5 Agent Action Approval Inbox with Risk-Tiered Queue and Bulk Approve or Reject
- Solution Agents 6 Agent Playbook Builder Wizard with Live Summary Card and Tool Allowlist
- Solution Agents 7 Failed Agent Run Triage Board with Detail Sheet and Retry Ladder
- Solution Agents 8 Agent Evaluation Report with Pass Rate Trend and Release Markers
- Solution Agents 9 Agent memory manager with scope rail and confidence-scored entries grid
- Solution Agents 10 Agent run-configuration settings form with picker, validated timeout, and locked policy row
Human in the Loop, as an Actual Inbox
Approval flows get designed as a modal, then collapse the first week an agent produces forty pending actions.
The approval inbox is built as a queue instead: filter by risk tier and status, bulk approve or reject, and open a detail Sheet to inspect the payload before deciding. It uses ReUI DataGrid, Badge, and Timeline with shadcn Sheet, Select, and Checkbox.
The tool access matrix is the policy behind that inbox. Every tool gets an access mode of Auto Run, Approval, or Blocked, a rate limit, and a named approver, alongside run-policy Switch rows and an explicit save or discard. What reaches a human becomes a configuration you can review, not a rule buried in orchestration code.
Debugging and Evaluating Runs
When a run fails, the triage board puts metric cards over a failure grid, then opens a detail sheet tabbed into error, retry attempts, and payload. The single-run detail page goes further with a step trace showing each tool call and its latency, plus a row-editable settings panel so you can change the configuration that caused the failure without leaving the page.
Regression tracking gets its own report. The nightly eval block charts pass rate over time with release markers on the trend, shows per-suite Progress, and lists regressions in a table comparing two releases, with a period selector, a regressions-only toggle, and export.
The memory manager covers the newest problem, which is what an agent is allowed to remember. A scope rail with per-scope counts sits beside a confidence-scored grid of retained facts, each one pinnable, forgettable, and filterable.
Built for a Category That Did Not Exist Two Years Ago
- Run states as first-class UI Running, Waiting, Failed, and Completed are collapsible groups with an attention filter and a density toggle, not four badge colors on one flat table.
- Risk tiers on the queue Pending actions rank by risk, so a destructive tool call does not sit behind forty harmless ones waiting for someone to scroll.
- Traces without a vendor lock Step-by-step tool calls and latency render from typed local data, so the same page can front LangSmith, Langfuse, OpenTelemetry spans, or your own runs table.
- Policy before autonomy Tool allowlists, approval gates, sandbox and retry switches, validated timeouts, and a locked PII row the form will not let you toggle off.
Related Shadcn Solutions Block Categories
- AI Ops Blocks (9 blocks) The layer under the agents: model providers, prompt versions, token cost, routing, and quotas.
- Analytics Blocks (9 blocks) Funnel, cohort, and experiment reporting for measuring whether the agent feature actually got adopted.
- Users Blocks (7 blocks) RBAC matrices and audit logs for the humans who approve agent actions and answer for them later.
- Billing Blocks (9 blocks) Metered usage ledgers and plan catalogs for products that charge per run, per task, or per token.
- Inventory Blocks (11 blocks) Stock, reorder, and movement screens, a good reference for dense operational grids outside AI.
- CRM Blocks (6 blocks) Pipeline and contact screens if your agents are acting on sales records rather than infrastructure.
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