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
Quick start
Execute an orchestration
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 | Description |
|---|---|
max_cost_usd | Hard cost ceiling — orchestration halts if exceeded |
max_duration_seconds | Maximum wall-clock time |
max_tokens | Total token budget across all LLM calls |
require_trust_score_above | Minimum agent trust score to participate |
require_human_approval | Steps that need human sign-off before proceeding |
allowed_models | Whitelist of permitted LLM models |
blocked_actions | Actions that are explicitly forbidden |
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
Billing & Quotas
| Metric | Developer | Business | Enterprise |
|---|---|---|---|
| Orchestrations/mo | 10 | 1,000 | Unlimited |
| Workflow definitions | 2 | 50 | Unlimited |
| LLM inference logs/mo | 100 | 10,000 | Unlimited |
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.

