Cross-Provider Harness Adaptation
Cross-provider harness adaptation is the process of adjusting concrete execution practices in an agent runbook when transferring an execution harness across different model providers while maintaining the generic runtime, runbook structure, and development principles intact.
Because autonomous agents built on models from different providers retain significant behavioral autonomy and exhibit distinct residual failure distributions, directly applying a frozen control profile engineered for one provider can fail to improve or slightly regress performance. Rather than engineering a harness from scratch, cross-provider adaptation reuses:
- The underlying state runtime and transition enforcement semantics;
- The high-level runbook graph and phase-level boundaries;
- Domain-independent golden rules (such as preferring minimal reusable control and semantic routing over task-identity overfitting);
- The failure-driven postmortem optimization loop.
Adaptation is strictly confined to analyzing residual failure traces on the target model to update provider-specific practices, state-local prompts, and targeted verification checks, enabling lower-cost models to achieve frontier performance with minimal API adaptation expenditure.
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Prep Sessions
Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor
Ch.2 Provider Transfer and Model Hierarchies - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor
Model-Distance Hierarchy and Cross-Provider Transfer - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor
Related
Model-Distance Transfer Hierarchy in Agent Harnesses
Cross-Provider Harness Adaptation
Harness Scaling
Three Empirical Tests of Harness Scaling
According to the model-distance transfer hierarchy, which specific components comprise an exact, frozen control profile that can transfer without target-model modifications between closely related model generations?
Why are closely related model generations within the same family capable of successfully executing a frozen transfer without target-model modifications?
Analyze what occurs when execution controls are transferred across different model provider boundaries. In your response, explain why direct frozen transfer fails and identify the architectural and methodological assets that remain reusable.
Match each tier of the model-distance transfer hierarchy to its representative scope of application.
When adapting execution controls across model providers, concrete practices must undergo lightweight tuning to match the target model's residual ___ distribution.
Order the tiers of the model-distance transfer hierarchy by increasing architectural and task distance, placing the tier with the most concrete transferable artifact first and the most abstract last.
Explain why copying concrete control profiles fails across heterogeneous task distributions, and explain the level of transfer and specific methodology the team should apply instead.
Cross-Provider Harness Adaptation
Learn After
Why can directly applying a frozen control profile engineered for one provider fail to improve or slightly regress performance on a different provider's model?
Cross-provider harness adaptation requires re-engineering the runbook graph and phase-level boundaries from scratch for each new model provider.
Explain how cross-provider harness adaptation separates invariant architectural components from provider-specific modifications, and describe the ultimate cost and performance objective of this process.
Match each harness adaptation concept to its corresponding description.
During harness transfer, developers preserve domain-independent golden rules that favor minimal reusable control and semantic routing over task-identity ___.
Order the stages of the cross-provider harness adaptation process from baseline reuse to targeted refinement.