Find Claude Code sessions tracked by the Agent Monitor by project (cwd), model, status, or date, then rank the matches by cost or recency. Pulls the session list and the distinct cwd / facet values so filters use real values rather than guesses. Use when locating a session — "find my EstateWise sessions", "which Opus runs errored this week", "most expensive sessions in /repo".
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Locate Claude Code sessions in the Agent Monitor by project, model, status, or date.
The user provides: $ARGUMENTS
A free-form query naming any combination of:
EstateWise, /Users/.../repo)opus, sonnet, haiku, or a full model id substringactive, working, completed, errortoday, this week, or an ISO date / range matched against started_atby cost (default when cost is mentioned) or recent (default otherwise)If the query is empty, return the most recent sessions ranked by recency.
| Endpoint | Returns |
|---|---|
GET /api/sessions?limit=N | session list: id, status, model, cwd, started_at, ended_at, cost, metadata (thinking_blocks, turn_count, total_turn_duration_ms, usage_extras) |
GET /api/run/cwds | the distinct working directories that have sessions — use to resolve a fuzzy project name to exact cwd values |
GET /api/events/facets | distinct facet values (event types, tool names, models, statuses) for validating filters |
Fetch /api/run/cwds and /api/events/facets to map the user's loose terms to
real values: pick the cwd(s) whose path contains the project term, confirm the
model substring exists, and validate the status against known statuses. State
which concrete filters you settled on.
GET /api/sessions?limit=200 (raise the limit if the date window is wide). Filter
in-memory by cwd, model (substring, case-insensitive), status, and started_at
date window.
Sort by cost descending when the user asked "by cost"; otherwise by started_at
descending (most recent first). Keep the top 20 unless the user asked for more.
One row per session.
Count of matches, summed cost across matches, and the model / status distribution.
Markdown table: # | id (short) | status | model | cwd (basename) | started_at | cost.
Currency as USD to 4 decimal places; token / count fields with thousands separators.
If a filter resolved to zero rows, say so and show the closest available values
(e.g. the cwds that do exist) rather than fabricating results. If the dashboard
is unreachable, tell the user to start it with npm start from the repo root.
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Inspect fired CCAM alerts and manage alert rules for token thresholds, event patterns, inactivity, and status duration. Use when acknowledging alerts, creating or editing a rule, checking cooldowns, or connecting alert rules to webhook targets.
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Identify anomalous sessions using Agent Monitor data — cost outliers from the pricing engine, token anomalies (cache miss spikes, compaction baseline surges), unusual event type ratios (PreToolUse/PostToolUse gaps, APIError clusters), behavioral deviations from workflow intelligence (complexity score outliers, error propagation anomalies), and sessions with abnormal metadata (extreme turn_count, high thinking_blocks, zero turn_duration).
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Produce a detailed report on APIError events from Agent Monitor data — counts over time, which sessions and models are affected, and the likely root cause (rate limits, overload/529, or context-window pressure) inferred from each event's summary and data payload. Use when API errors spike or when you need to explain why requests are failing.
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Benchmark one session (or a small recent set) against the rolling average using Agent Monitor data — cost, total tokens, tool count, and workflow complexity score — and report where each metric lands as a percentile of the population. Tells you whether a session was normal, cheap, or an outlier. Use when judging whether a session was typical or out of band.
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Define a spend budget for Claude Code and, optionally, create a cost alert rule that fires when usage crosses the limit, via POST /api/alerts/rules on the Agent Monitor dashboard. Reads current spend from /api/pricing/cost to size the budget sensibly and explains every rule field before writing. Use when setting a spend limit or wiring up a budget guardrail.
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Analyze prompt-cache effectiveness for Claude Code usage from the Agent Monitor dashboard — cache hit rate (total_cache_read / (total_cache_read + total_input)), cache_write vs cache_read reuse, cache-read vs cache-write spend, and the sessions with the poorest reuse. Pulls token totals from /api/analytics, per-session detail from /api/sessions, and dollar splits from /api/pricing/cost. Use when diagnosing cache spend or deciding whether prompt caching is paying off.
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