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Observable symptom: Behaviour drifts over long conversations. Bugs reproduce only intermittently. Suitable correction: Pydantic v2 state at every node boundary. Forbid extra attributes. State belongs in code.
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Hidden state in prompts is relevant instruction or context that affects an agent but is invisible or unverifiable to other participants.
The pattern is described as an anti-pattern in multi-agent system analysis. It occurs when context, constraints, or intermediate results persist implicitly in prompt chains instead of being modeled as inspectable data.
An agent acts on its visible prompt and possibly hidden context. Later agents may see an answer but not the assumptions, filters, or rules behind it. Decisions become hard to reproduce and failures hard to localize. Explicit state objects, provenance, and handoff boundaries restore traceability.
Relevant information affects behavior without appearing in the context visible to other agents.
Assumptions and intermediate results need an identifiable source and version.
Structured handoffs expose required context and responsibility.
The pattern matters for debugging, governance, and security in agentic workflows. Explicit state supports testing and audits and reduces misunderstandings between agents.
Where this building block is located in the topic model.
No structure path available.
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These sources establish the term and its professional meaning.
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The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.