If a workflow cannot handle network timeouts, schema shifts, or human approval gates, it has no business running in production.
Every step in a workflow is serialized into PostgreSQL checkpoint tables before execution. If an external system or worker crashes mid-process, the pipeline picks up seamlessly from the exact checkpoint without re-running completed steps.
We never trust raw model outputs. Every generated completion is bounded by strict Pydantic schemas, type checking, and regex constraints. Invalid data triggers automatic micro-repair passes.
Non-deterministic reasoning loops are bounded by recursion depth limits. When an agent fails to achieve state progress after N steps, control is safely transferred to deterministic rule engines.
Network partitions and HTTP 429 rate throttles are inevitable. Our integrations implement atomic queues with randomized backoff delays to prevent cascade failures.
High-value, high-risk operational steps (such as financial transactions or critical ERP mutations) include configurable human verification gates directly in the state graph.
Every token spent, prompt constructed, and microsecond elapsed is recorded via OpenTelemetry and LangSmith tracing for total auditability and debugging clarity.