fe7a5c481e
Working memory (Memory module's first real code): - MemoryEntry (schema "memory", vector(384), InitialMemory migration); TeamMemory implements the SharedKernel ITeamMemory seam (embed-and-store on write, cosine recall on read); GET /api/memory/search. HashingTextEmbedder promoted to SharedKernel (pure, deterministic; swapped for ONNX/BYOK embedders later behind ITextEmbedder). - Written on approval: Governance's approve stores an Approval/Correction entry per decision. - Read at assembly: the executor recalls the team's top-3 relevant entries; the prompt gains a "# Team memory" section (treated as data, not instructions). The single V1 event trigger: - IAgentDispatcher (SharedKernel) implemented by Assembler's AgentRunDispatcher (shared by the API and triggers). OrgBoard's QaHandoffTrigger: a task hitting done creates a QA task (provenance parent, assigned to the QA agent) and dispatches a run for the team's QA AI seat. Guardrails: Test/Review tasks never re-trigger (no self-cascade) and a task hands off at most once. Audited as handoff.triggered. Analytics — the V1 verdict view: - IBoardStats (SharedKernel) implemented by OrgBoard; GET /api/governance/analytics returns approval rate, avg edit distance, per-agent metrics + edit-distance trend, tasks done. - UI: /analytics — stat cards, per-agent table, recharts edit-distance trend per agent. Verified: build green; ArchitectureTests 8/8; IntegrationTests 42/42 incl. the M6 acceptance end to end — a dev marks a story done → Quill wakes via the handoff (QA task with provenance, assigned to the agent) → drafts a test plan that waits in review → approve records the second agent's edit distance → analytics show approval rate 100%, avg edit distance > 0, and trends for BOTH Aria and Quill; memory written on Aria's corrected approval is recalled into her next prompt; the guardrails hold. Client build green. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
13 lines
523 B
C#
13 lines
523 B
C#
namespace TeamUp.SharedKernel.Ai;
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/// <summary>
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/// Dispatches a task to an AI seat: records a queued AgentRun and enqueues the job for the worker.
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/// Implemented by the Assembler module; used by the web API and by board triggers (the PO→QA
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/// handoff) without referencing the Assembler's tables.
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/// </summary>
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public interface IAgentDispatcher
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{
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/// <summary>Returns the id of the queued run.</summary>
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Task<Guid> DispatchAsync(Guid seatId, Guid workItemId, CancellationToken cancellationToken = default);
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}
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