Plith Operations
The base layer for AI agents.
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What it can do
- 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
What data it sees
Do you need an account
No: the server works without sign-in
The base layer for AI agents. Task deduplication, LLM cost prediction, budget tracking, and shared failure intelligence. 5,000 free credits after verification.
Server tool list (8)
Raw names from tools/list. Only developers need these.
| 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. |