[KongchangAI]
Conceptmeta-harness / 元编排层

Meta-Framework

An AI engineering architecture concept referring to an orchestration layer situated above specific model SDKs. It coordinates the invocation sequence, resource allocation, and result aggregation of multiple underlying models or tools, rather than executing inference directly.

Timeline (last 90 days)

Oct 1

Unlike SDKs that directly wrap a single model's API, a meta-harness does not care which specific model executes a task; instead, it is responsible for task lifecycle management, model scheduling strategy, and agent collaboration protocols.

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All Facts (1)

Unverified

Unlike SDKs that directly wrap a single model's API, a meta-harness does not care which specific model executes a task; instead, it is responsible for task lifecycle management, model scheduling strategy, and agent collaboration protocols.

50%