BaseLedger Engine is built with Scala 3, Pekko, and PostgreSQL to manage usage and budget limits for autonomous LLM agents and concurrent API calls, addressing financial risk from race conditions and network retries during payment processing.
The system uses three core mechanics: the Reservation Pattern (locks funds before an LLM call and deducts only on success), the Idempotency Shield (tags every command to ignore network retries and prevent duplicate charges), and the Dead-Man's Switch (automatically expires and refunds reservations if an AI job crashes or hangs).
Open-source deployment requires Docker or Podman for quick start, or JDK 17+, PostgreSQL, and Flyway CLI for local development. A managed Serverless Cloud tier powered by DynamoDB and an Enterprise license powered by ScyllaDB supporting 10,000+ TPS and 99.999% SLA are also available.
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