tokencast
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- AlicenseNot gradedqualityDmaintenanceEstimates, compares, and controls LLM API costs before agents spend tokens, with tools for cost estimation, model comparison, and budget checking.9 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to track LLM costs, enforce budgets, compare models, and estimate expenses through simple tool calls.-
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- AlicenseAqualityAmaintenanceEnables agents and developers to estimate, budget, and compare LLM spend per task before and during a run, including ranking models by expected cost per successful task and tracking spend in a local JSON ledger.5Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to pre-flight estimate query costs, enforce hard budgets, reconcile actual billed spend, and suggest cheaper rewrites across BigQuery, Snowflake, and Databricks.MIT
- AlicenseAqualityCmaintenanceClassifies AI agent turns by complexity and recommends the cheapest model that can handle them, reducing costs in multi-step workflows.29 npmMIT
TDQS
Scored across 6 tools
Each tool targets a distinct concern: telemetry opt-out, cost estimation, calibration metrics, historical queries, and cost reporting at different granularities. No two tools overlap in purpose or action.
All tool names follow a consistent verb_noun pattern in lowercase snake_case (disable_telemetry, estimate_cost, get_calibration_status, get_cost_history, report_session, report_step_cost). The naming style is uniform and predictable.
Six tools is well-scoped for a cost estimation and calibration server. Each tool contributes a necessary function without redundant or bloated additions.
The toolset covers the essential workflow: estimate costs, report actuals, inspect calibration, and query history. Minor gaps exist (e.g., no way to enable telemetry after disabling, no per-estimate detail retrieval), but they do not break the core usage flow.