Algis DumbrisandClaude Opus 4.6
8df22457ab
Trust scores: per (agent, action_type) pair, stored in agent_trust
table. Auto-adjusts when human reacts to AI agent messages (approve
+0.05, reject -0.1). Scores clamped [0.0, 1.0]. MCP get_trust action
+ REST API /api/trust/{agent}. Web UI shows trust progress bars on
agent detail pages.
Claim semantics: only one in_progress reaction per message enforced.
First agent to claim wins, duplicates rejected with clear error.
State-change webhooks: StateChangeNotifier interface fires
workflow.state_changed events through existing webhook infrastructure
when reactions change a message's derived workflow state.
Channel thresholds: publish_threshold and approve_threshold fields
on channels for configuring autonomy gates.
Migration 014_trust_claims.sql. 17 new test cases across trust
model + store.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
33 lines
700 B
Go
33 lines
700 B
Go
package trust
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import "testing"
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func TestClampScore(t *testing.T) {
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tests := []struct {
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name string
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input float64
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want float64
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}{
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{"zero", 0.0, 0.0},
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{"one", 1.0, 1.0},
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{"mid", 0.5, 0.5},
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{"below zero", -0.1, MinScore},
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{"far below zero", -10.0, MinScore},
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{"above one", 1.1, MaxScore},
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{"far above one", 100.0, MaxScore},
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{"small positive", 0.001, 0.001},
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{"near max", 0.999, 0.999},
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{"exactly min", MinScore, MinScore},
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{"exactly max", MaxScore, MaxScore},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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got := ClampScore(tt.input)
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if got != tt.want {
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t.Errorf("ClampScore(%f) = %f, want %f", tt.input, got, tt.want)
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}
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})
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}
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}
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