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AI Orchestration

Truthlocks AI Orchestration enables you to define, execute, and monitor multi-agent workflows with built-in cost attribution, safety guardrails, and complete audit trails.

Overview

All orchestration and workflow endpoints have an interactive API playground. Open any endpoint in the Orchestrations & Workflows API reference and click Send to try it against the Sandbox.

Quick start

Execute an orchestration

Response:

Check Orchestration Status

LLM Inference Logging

Track every LLM call made during orchestration:

Workflows

For recurring orchestration patterns, define reusable workflows:

Create a Workflow

Execute a Workflow

Guardrails

Guardrail Check

Cost Attribution

All costs are attributed at multiple levels:
  • Per-step: Each step tracks its own token usage and cost
  • Per-agent: Aggregate cost across all steps an agent participated in
  • Per-orchestration: Total cost for the entire workflow execution
  • Per-tenant: Monthly rollup for billing purposes
Cost data feeds into the billing system and is visible in the console dashboard.

Billing & Quotas

Next steps

Machine identity

Full MAIP protocol overview and quick start.

Trust scores

Continuous behavioral trust evaluation for agents.

Event streaming

Generate receipts for messages flowing through Kafka, EventBridge, Kinesis, NATS, and Redis Streams.

AI model connectors

Automatic receipts for LangChain, LlamaIndex, CrewAI, and other AI framework calls.