EXTENDED_ECOSYSTEM_MAPPING: AGENT FRAMEWORK / ORCHESTRATION SDK

Semantic Kernel

A source-qualified lifecycle governance mapping for Semantic Kernel agent and orchestration patterns, included because official Microsoft sources support the ecosystem context.
BACK_TO: EXTENDED ECOSYSTEMLENS: AGENTIC LIFECYCLE GOVERNANCEMETHOD: HARNESS ENGINEERING
MAPPING_PROPOSITION

When plugins, functions, and agents are composed in one process, which execution boundary keeps authority and acceptance attached to the work?

A process coordinates model calls, plugins, filters, and human input. The orchestration graph is useful only when each consequential function call can be traced to approved scope and a final acceptance decision.

Decision artifactProcess execution record: orchestration graph, plugin and function calls, filter or human checkpoints, evidence, and closure decision.
INPUTS
  • Process and agent role definition
  • Plugin and function authority scope
  • Filter, observability, and human-review conditions
OUTPUTS
  • Function-level execution lineage
  • Checkpoint and evidence record
  • Accepted outcome or remediation closure
BOUNDARY_NOTE

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

Semantic Kernel is treated here as an agent and orchestration SDK context. The lifecycle governance question is how plugins, agent interactions, process orchestration, tool calls, filters, observability, human input, and accepted outcome remain tied to responsibility records.

R3F uses Microsoft Learn and Microsoft GitHub sources to establish Semantic Kernel as an AI agent and orchestration SDK context. The page does not compare Semantic Kernel against Microsoft Agent Framework, AutoGen, or other frameworks.

MAPPING_FOCUS

What this mapping follows.

An orchestration SDK can make a process legible without making it accountable. This mapping therefore follows the function and plugin calls that can change the work, then checks where filters, human input, and observability sit in relation to authority. The process record should explain not only that a step ran, but why it was allowed and how its result entered the accepted outcome. That gives enterprise reviewers a bounded execution view without claiming a framework certification.

Lifecycle governance questions

  1. What authority boundary governs consequential work?
  2. What evidence chain survives tool, model, agent, or runtime action?
  3. What accepted outcome state is defined, and who may accept it?
  4. How are rollback, remediation, dispute, and substitution handled?
  5. Which human or organizational role owns lifecycle responsibility?
  6. Which plugin or function calls are allowed under the approved work scope?
  7. What filter, observability, or review evidence is sufficient for acceptance and remediation?

Failure modes to test

  • A plugin call is hidden inside an otherwise successful process
  • Observability records execution without proving authority
  • Human input is collected but not connected to acceptance or closure

Evidence to retain

  • Process and role graph
  • Plugin and function invocation trace
  • Filter or human checkpoint evidence
  • Acceptance and remediation closure

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.

Authority BoundaryEvidence ChainAccepted OutcomeLifecycle Responsibility ObjectsSubstitution recordDispute objectRemediation closure

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 SDK-level orchestration needs surrounding policy, context boundaries, tool-call authority, evidence capture, 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_TRACEADJACENT

White paper source trace

Semantic Kernel is treated as an adjacent framework/orchestration SDK mapping, not a GAIC-scored system or Microsoft documentation.

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.

MRO-15: Substitution conformanceVendor, model, or runtime substitution as a lifecycle responsibility object.Chapter 6: Missing Regulatory ObjectsThe MRO object layer for authority, evidence, acceptance, substitution, and closure.ALCSLifecycle conformance lens across intent, authority, evidence, acceptance, and closure.Publication boundaryNon-legal, non-certification, non-ranking, and non-procurement boundary.
GAIC white paper hubGAIC-cited systemsMissing Regulatory ObjectsRCCS-MALCS

Sources and authority