Plith Operations

Name: Plith Operations
Author: plith

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

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接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://operations--plith.run.tools

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{
  "mcpServers": {
    "Plith Operations": {
      "url": "https://operations--plith.run.tools"
    }
  }
}

能力清单

工具	说明
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 task and call dedupq_complete to cache the result for future hits. Costs 1 credit.
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 plan into burnrate_optimize. Costs 1 credit.
burnrate_track	Log 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_optimize	Get 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_budget	Get today's tracked LLM spend, per-model breakdown, projection, and budget alerts. Free — no credits charged.
pitfalldb_query	Check 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_report	Report an agent failure. PII-scrubbed before storage. Linked to existing pitfalls if similar. Free — no credits charged.

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