ai.plith/plith
AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.
Before executing any LLM task, check if an identical or semantically similar task has already been completed. Returns cached result on hit, saving one LLM call.
After executing a task, store the result so future identical or similar tasks return a cache hit.
Before executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions.
After an LLM call, record actual token usage. Cost computed server-side. Free — no credits charged.
Get a cheaper equivalent plan via model substitution. Optionally check if it fits a target budget.
Get today's tracked LLM spend, per-model breakdown, projection, and budget alerts. Free — no credits charged.
Validate agent output against your rules. Deterministic checks (regex, JSON schema, syntax) plus optional LLM-powered tone and factual analysis.
Get daily pass/warn/fail counts and insights for validation history. Free — no credits charged.
Evaluate a proposed agent action against governance policies. Returns allow or deny. Deterministic rule evaluation — no LLM.
Create a governance policy. Names must be unique per org. Free — no credits charged.
List active governance policies, ordered by priority. Free — no credits charged.
Check for known failure patterns before executing a task type. Returns pitfalls with severity, fix suggestions, and confidence scores.
Report an agent failure. PII-scrubbed before storage. Linked to existing pitfalls if similar. Free — no credits charged.
Get aggregate statistics: total pitfalls, total reports, top task types, recent activity. Free — no credits charged.
| Timestamp | Status | Latency | Conformance |
|---|---|---|---|
| Apr 15, 2026 | success | 527.8ms | Pass |
| Apr 15, 2026 | success | 180.8ms | Pass |