When agents delegate and terminate work, which role owns the handoff, the evidence, and the accepted outcome?
Several agents exchange messages and tools calls before one agent reports completion. The workflow needs a responsibility record that outlives the conversation and identifies who may accept or reopen the result.
- Agent roles and delegation authority
- Task and termination conditions
- Inter-agent messages, artifacts, and tool evidence
- Role-linked delegation trail
- Termination classification
- Accepted outcome or escalation record
Independent lifecycle governance lens.
This page is independent lifecycle governance analysis. It is not Microsoft documentation, Microsoft affiliation, framework scoring, legal advice, certification, legal compliance proof, or procurement guidance.
These pages apply GAIC lifecycle governance concepts to extended ecosystems. They are not GAIC scored assessments, vendor rankings, procurement recommendations, certifications, legal compliance proof, official vendor documentation, or vendor affiliations.
Ecosystem context
AutoGen is treated here as a multi-agent application framework context. The lifecycle governance question is how agent roles, message passing, human collaboration, tool action, evidence, termination, and acceptance remain accountable across a multi-agent workflow.
R3F uses Microsoft AutoGen official documentation and repository language to establish the multi-agent framework context. Current source status is recorded without treating it as a defect claim.
What this mapping follows.
The key boundary in a multi-agent application is delegation, not message volume. A conversation may show what agents said, yet still leave unclear who had authority to assign the work, who could terminate it, and which role could accept the artifact. This mapping follows the role graph and the termination reason through closure. It treats the final response as a handoff signal that requires an acceptance record, rather than as proof that responsibility has ended. The review should distinguish a planner assigning work, a worker invoking a tool, a critic returning a correction, and an orchestrator deciding that the run is finished. Those transitions are different evidence events even when they share one transcript. A useful closure record names the delegated scope, records whether termination was normal or exceptional, and preserves the route for a human owner to reopen the result. Reviewers can then compare planned delegation with actual message topology, identify an agent that acted outside its role, and decide whether an apparently complete conversation needs escalation. This is the specific gap the mapping addresses in framework-level multi-agent conversations: orchestration can coordinate a task, but it cannot silently become the accepting authority.
Lifecycle governance questions
- What authority boundary governs consequential work?
- What evidence chain survives tool, model, agent, or runtime action?
- What accepted outcome state is defined, and who may accept it?
- How are rollback, remediation, dispute, and substitution handled?
- Which human or organizational role owns lifecycle responsibility?
- Which agent role is allowed to delegate, terminate, or escalate work?
- What record links inter-agent messages to human responsibility and accepted outcome?
Failure modes to test
- The last speaking agent is assumed to own the result
- Message history cannot distinguish delegation from authorization
- Termination is recorded without an acceptance or remediation owner
Evidence to retain
- Role and delegation scope
- Message and artifact lineage
- Termination or escalation reason
- Human or organizational acceptance record
Related Missing Regulatory Objects
These concepts are governance lenses for the mapping. This page does not claim the ecosystem has or lacks a feature unless the statement is supported by an official source.
RCCS-M / ALCS relevance
RCCS-M is relevant as a governance-coverage lens for lifecycle responsibility objects. ALCS is relevant as a lifecycle-coherence lens across intent, authority, evidence, acceptance, dispute, remediation, and closure. This R3F mapping is author-analytical and source-qualified, not a GAIC-scored assessment.
Harness Engineering relevance
Harness Engineering is relevant because multi-agent frameworks need surrounding role boundaries, routing constraints, message evidence, termination conditions, review gates, and closure records.
Protocol path
MPLP is one protocol path for expressing lifecycle responsibility semantics around agentic work. It is not required, exclusive, certified, regulator-approved, vendor-affiliated, or already an industry standard.
White paper source trace
AutoGen is treated as an adjacent ecosystem mapping for multi-agent framework governance, not a GAIC-scored system.
This page is adjacent to GAIC, not a GAIC-scored assessment. It uses MRO, RCCS-M, and ALCS as lifecycle governance lenses for an ecosystem context established by official sources.
Use the trace to ask how tool access, agent delegation, model/runtime substitution, evidence, accepted outcome, rollback, and remediation would survive across the workflow.
This mapping is source-qualified and non-GAIC-scored. It is not vendor documentation, vendor affiliation, product scoring, legal advice, certification, legal compliance proof, procurement guidance, or a claim that MPLP is required.
Sources and authority
- Global AI Compliance White Paper 2026Author research source for the lifecycle responsibility vocabulary used by this mapping. It is a public research edition, not a standard or certification.
- AutoGen documentationOfficial AutoGen documentation reviewed.
- AutoGen GitHub repositoryOfficial repository reviewed for current project boundary.