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沃林数智

SOLUTION-DETAIL / LOCALIZED DECISION BRIEF

A2A Agent engineering & governance

Give Agents a production contract for routing, execution, verification and safe learning.

REFERENCE_ARCHITECTURE · REFERENCE_SUPPORT

Discuss this solutionTruth & evidence
Reference interface set for enterprise-system events, collaboration requests and digital-role orchestration
solution.agent-engineering · EVIDENCE COMMAND CANVASSTAR v4.2
S.05 / Current capability

A2A Agent engineering & governance

Make Agent execution durable, bounded and auditable

MAIN ROUTE ↘
REFERENCE BRANCH · between scenario recognition and pilot direction
Input
Durable task and toolsIdentity, task state, tool contract and context
Boundary
Bounded permissionHuman gate, idempotency and recovery path
Output
Auditable artifactResult plus tool trace and verification evidence
An implementation loop where business signals pass through AI comparison, human approval, controlled execution and system readback
S.05 / CAPABILITY INSIDE THE LOOPThe capability is one layer inside the governed loop—not the product by itself.BUSINESS SIGNAL → CAPABILITY → HUMAN GATE → READBACK · REFERENCE ARCHITECTURE · CAPABILITY REFERENCE · NO PRODUCTION CONNECTION

Return this capability to scenario validation.

Name one real trigger and compare it on the same fields before preparing a pilot brief.

Validate through scenariosCompare operating loops

PAGE ROUTE / solution.agent-engineering

What this route helps you decide

Design multi-Agent systems with durable tasks, bounded permissions, human approval and auditable artifacts.

01

Problems this solution addresses

Design multi-Agent systems with durable tasks, bounded permissions, human approval and auditable artifacts.

02

What enters the implementation

Design multi-Agent systems with durable tasks, bounded permissions, human approval and auditable artifacts.

03

Related Scenario Library

Design multi-Agent systems with durable tasks, bounded permissions, human approval and auditable artifacts.

04

Turn this capability into your operating path

Design multi-Agent systems with durable tasks, bounded permissions, human approval and auditable artifacts.

05

Return capability descriptions to scenario validation

Design multi-Agent systems with durable tasks, bounded permissions, human approval and auditable artifacts.

KNOWLEDGE → COMPARISON → DIRECTION → OPTIMIZATION

Evidence stays attached to the decision.

The full-detail canonical evidence record remains available in Chinese. IDs, Truth classes, boundaries, and source references stay unchanged across languages.

01

Knowledge

Source-traceable reference

02

Comparison

Compare the same operating fields before choosing a direction.

03

Direction

Confirm the owner, authority, human gate, and readback rule.

04

Optimization

Define a baseline, target, owner, and observation window before claiming impact.