Plith Operations

The base layer for AI agents.

От сообществаРаботаетБез входаГлобальныйБесплатноТолько чтение

Что умеет

  • Dedupq Check: 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. On a miss, execute your t
  • Dedupq Complete: After executing a task, store the result so future identical or similar tasks return a cache hit via dedupq_check. Costs 2 credits.
  • Burnrate Estimate: Before executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions. If the estimate exceeds your budget, pipe the same pl

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

The base layer for AI agents. Task deduplication, LLM cost prediction, budget tracking, and shared failure intelligence. 5,000 free credits after verification.

Список инструментов сервера (8)

Технические названия из tools/list. Нужны только разработчикам.

dedupq_checkBefore 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. On a miss, execute your task and call dedupq_complete to cache the result for future hits. Costs 1 credit.
dedupq_completeAfter executing a task, store the result so future identical or similar tasks return a cache hit via dedupq_check. Costs 2 credits.
burnrate_estimateBefore executing a multi-step agent plan, estimate the total LLM cost. Returns per-step breakdown and optimization suggestions. If the estimate exceeds your budget, pipe the same plan into burnrate_optimize. Costs 1 credit.
burnrate_trackLog the actual cost of an LLM call after execution. Call this after every LLM request to build calibration data that improves burnrate_estimate accuracy over time. Free — no credits charged. Returns the recorded cost entry with computed margin versus the prior estimate when one exists for this model and token range.
burnrate_optimizeGet a cheaper equivalent plan by substituting models with lower-cost alternatives. Call after burnrate_estimate if the estimated cost exceeds your budget. Returns the optimized plan with substituted models, new per-step costs, total savings, and whether the target_budget is met. Optionally set target_budget to constrain the optimization. Costs 1 credit.
burnrate_budgetGet today's tracked LLM spend, per-model breakdown, projection, and budget alerts. Free — no credits charged.
pitfalldb_queryCheck for known failure patterns before executing a task type. Returns pitfalls with severity, fix suggestions, and confidence scores. After your agent runs, submit failures via pitfalldb_report so others benefit. Costs 2 credits.
pitfalldb_reportReport an agent failure. PII-scrubbed before storage. Linked to existing pitfalls if similar. Free — no credits charged.