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AGENTIC HARNESS

The runtime layer that turns model capability into usable work.

The Agentic Harness is the substrate behind how work gets executed in SEQUESTO aOS. It governs tool use, function calling, memory, reasoning, observability, and runtime safety so each task is assembled around the user’s request instead of pushed through one static chain.

Diagram of the Agentic Harness as the runtime substrate turning LLMs into response-work agents, with tool use, multi-model routing, grounded reasoning, and observability
  • Barona
  • Efficy
  • ISS
  • Nextbike
  • oodrive
  • GK Software
  • Dalcour Maclaren
  • Peak3

If the model layer provides intelligence, the harness turns that intelligence into a controlled runtime. It is the layer beneath James, not James himself.

TOOLING

Tool use and function calling.

The harness gives agents the ability to do real work across documents, knowledge, and connected systems. Structured tools and typed function calls keep those actions controllable instead of turning them into brittle prompt choreography.

  • Agents can read, retrieve, format, and interact with systems through defined interfaces rather than improvised output.

  • Inputs and outputs stay structured, which makes downstream steps easier to chain and inspect.

  • The harness is what lets SEQUESTO act on documents instead of only writing about them.

SEQUESTO editor showing AI automated answers across DDQ rows and long-form RFP sections with inline source citations

STATE

Memory and reasoning.

Document-heavy work rarely happens in one step. The harness manages retained context, intermediate state, and reasoning flow so multi-step work stays coherent across extraction, drafting, review, and follow-up actions.

  • Earlier retrievals, decisions, and outputs can be carried into later steps when that helps the work stay grounded.

  • The runtime can move through a sequence of tasks without repeatedly starting from scratch.

  • This matters most when work spans documents, approvals, contributors, and time.

Diagram of the Agentic Harness tool layer showing typed function calls between agents and source systems

RUNTIME DESIGN

Runtime assembled per request.

A tender, a questionnaire, and a project review do not all need the same runtime path. The harness composes each run dynamically around the work at hand instead of forcing every task through the same fixed chain.

  • Different inputs, files, tools, and review needs can produce different runtime paths inside the same system.

  • Teams get flexibility without losing control over how the runtime behaves.

  • The runtime is created for the work the user is asking for, not for a one-size-fits-all automation flow.

Visualisation of multi-model routing, grounded reasoning, and persistent memory across multi-step agent execution

OBSERVABILITY

Observable, constrained, and distinct from Agent Force.

The clearest way to understand the difference is simple: the harness is the runtime, Agent Force is the specialist system that runs on top of it. Observability, tracing, and safety rails live here because this is the layer that governs how the work executes.

  • The harness decides how work can happen; James decides how specialist work should be coordinated.

  • Retrievals, tool calls, and runtime behaviour can all be inspected and evaluated.

  • Allowed behaviours and controlled boundaries are enforced in the substrate, not left to tone-of-voice prompting.

Observability dashboard showing harness-level traces, eval results, and safety rail enforcement across agent execution

See the runtime behind the workflow.

Walk through how the harness assembles work, coordinates tools, and keeps agentic execution controlled inside SEQUESTO aOS.