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Execute, monitor, and govern multi-agent AI workflows with full cost tracking, safety guardrails, and receipt-backed accountability.
DAG-based workflow definitions with step dependencies, conditional branching, and version control.
Log every model call with token counts, latency, cost, and input/output hashes.
Per-agent, per-model cost rollups across orchestration executions for accurate billing.
DAG-based workflow definitions with step dependencies, conditional branching, and version control.
Log every model call with token counts, latency, cost, and input/output hashes.
Per-agent, per-model cost rollups across orchestration executions for accurate billing.
Content validation, action allowlists, circuit breakers, and automatic rollback on violations.
Register, discover, and invoke external tools with schema validation and access control.
Attest training data, model weights, and transformation lineage for regulatory compliance.
Full lifecycle governance for every AI workflow in your infrastructure.