feat: connect protected OpenAI-compatible GPU provider

cmd/cognitive-worker/main.go

@@ -17,6 +17,7 @@ import (
 	"log"
 	"net/http"
 	"os"
+	"path/filepath"
 	"strings"
 	"time"
 )
@@ -92,14 +93,20 @@ func main() {
 		discoveries["lifeboat"] = lifeboat
 		builtinLocal = &lifeboat
 	}
-	gpuAdapter, err := models.NewOllamaAdapter(envOr("LOCAL_GPU_PROVIDER_URL", "http://192.168.220.91:11434"), nil)
-	if err != nil {
-		log.Fatal(err)
+	gpuURL, gpuKey, gpuConfigured, gpuErr := loadProtectedGPUConfiguration()
+	if gpuErr != nil {
+		log.Printf("optional GPU provider disabled: %v", gpuErr)
+	} else if gpuConfigured {
+		gpuAdapter, adapterErr := models.NewOpenAICompatibleLocalAdapterWithAPIKey(gpuURL, gpuKey, nil)
+		if adapterErr != nil {
+			log.Printf("optional GPU provider disabled: %v", adapterErr)
+		} else {
+			gpu := providerRegistration{ProviderInstanceID: "local-gpu-opportunistic", Kind: "openai-compatible-chat-v1", EndpointRef: "local-gpu-opportunistic-v1", CredentialRef: "credential://domovoy/gpu/provider-api-key/v1", AuthMode: capability.AuthKey, BillingMode: capability.BillingFree, DataPolicy: capability.DataPolicyExternalMessageOnly, Provider: gpuAdapter, Discovery: gpuAdapter}
+			providers[gpu.Kind] = append(providers[gpu.Kind], gpu)
+			discoveries["gpu"] = gpu
+			externalRecovery = append(externalRecovery, gpu)
+		}
 	}
-	gpu := providerRegistration{ProviderInstanceID: "local-gpu-opportunistic", Kind: "ollama-v1", EndpointRef: "local-gpu-opportunistic-v1", AuthMode: capability.AuthNone, BillingMode: capability.BillingFree, DataPolicy: capability.DataPolicyExternalMessageOnly, Provider: gpuAdapter, Discovery: gpuAdapter}
-	providers[gpu.Kind] = append(providers[gpu.Kind], gpu)
-	discoveries["gpu"] = gpu
-	externalRecovery = append(externalRecovery, gpu)
 	if openAIProvider != nil {
 		kind := capability.ProviderKind(envOr("OPENAI_PROVIDER_KIND", "openai-responses-v1"))
 		providers[kind] = append(providers[kind], providerRegistration{ProviderInstanceID: "openai-bootstrap", Kind: kind, EndpointRef: capability.EndpointBindingRef(envOr("OPENAI_ENDPOINT_REF", "openai-responses-default")), CredentialRef: capability.CredentialRef(envOr("OPENAI_CREDENTIAL_REF", "openai-advisory-v1")), AuthMode: capability.AuthKey, BillingMode: capability.BillingPerInput, DataPolicy: capability.DataPolicyExternalMessageOnly, Provider: openAIProvider})
@@ -111,7 +118,7 @@ func main() {
 	mediumReadinessClient := &http.Client{Timeout: 10 * time.Second}
 	lifeboatURL := strings.TrimSuffix(strings.TrimRight(envOr("LOCAL_LIFEBOAT_PROVIDER_URL", "http://cognitive-lifeboat:8086/v1"), "/"), "/v1") + "/health"
 	fleetClient := &http.Client{Timeout: 2 * time.Second}
-	preferredFleet := capability.FleetTier(envOr("COGNITIVE_PREFERRED_FLEET_TIER", string(capability.FleetTierHeavy)))
+	preferredFleet := capability.FleetTier(envOr("COGNITIVE_PREFERRED_FLEET_TIER", string(capability.FleetTierFast)))
 	cpuFleetHeaders := map[string]string{}
 	if cpuAPIKey != "" {
 		cpuFleetHeaders["Authorization"] = "Bearer " + cpuAPIKey
@@ -137,17 +144,24 @@ func main() {
 	if mediumURL != "" {
 		readinessProbes = append(readinessProbes, mediumHealthProbe)
 	}
-	readinessProbes = append(readinessProbes,
-		health.HTTPProbe(readinessClient, lifeboatURL),
-		health.OptionalHTTPProbe(readinessClient, strings.TrimRight(envOr("LOCAL_GPU_PROVIDER_URL", "http://192.168.220.91:11434"), "/")+"/api/tags"),
-	)
-	mux.Handle("/readyz", health.ReadinessHandler{Runtime: "cognitive-worker", Probes: readinessProbes})
-	mux.Handle("/v1/fleet/readiness", fleetReadinessHandler(fleetClient, preferredFleet, []fleetEndpoint{
+	readinessProbes = append(readinessProbes, health.HTTPProbe(readinessClient, lifeboatURL))
+	if gpuConfigured {
+		gpuHeaders := map[string]string{"Authorization": "Bearer " + gpuKey}
+		gpuProbe := health.OptionalHTTPProbeWithHeaders(readinessClient, strings.TrimRight(gpuURL, "/")+"/models", gpuHeaders)
+		gpuProbe.Timeout = 10 * time.Second
+		readinessProbes = append(readinessProbes, gpuProbe)
+	}
+
+	fleetEndpoints := []fleetEndpoint{
 		{ProviderID: "local-cpu-primary", ModelID: "local-cpu-model", Tier: capability.FleetTierFast, URL: cpuEndpoint, Headers: cpuFleetHeaders, Client: &http.Client{Timeout: 10 * time.Second}},
 		{ProviderID: "local-medium-primary", ModelID: "local-medium-model", Tier: capability.FleetTierMedium, URL: mediumEndpoint, Headers: mediumHeaders, Client: mediumReadinessClient},
-		{ProviderID: "local-gpu-opportunistic", ModelID: "gpu-opportunistic", Tier: capability.FleetTierHeavy, URL: strings.TrimRight(envOr("LOCAL_GPU_PROVIDER_URL", "http://192.168.220.91:11434"), "/") + "/api/tags"},
 		{ProviderID: "cognitive-lifeboat", ModelID: "qwen3-8b-lifeboat", Tier: capability.FleetTierLifeboat, URL: lifeboatURL},
-	}))
+	}
+	if gpuConfigured {
+		fleetEndpoints = append(fleetEndpoints, fleetEndpoint{ProviderID: "local-gpu-opportunistic", ModelID: "gpu-opportunistic", Tier: capability.FleetTierHeavy, URL: strings.TrimRight(gpuURL, "/") + "/models", Headers: map[string]string{"Authorization": "Bearer " + gpuKey}})
+	}
+	mux.Handle("/readyz", health.ReadinessHandler{Runtime: "cognitive-worker", Probes: readinessProbes})
+	mux.Handle("/v1/fleet/readiness", fleetReadinessHandler(fleetClient, preferredFleet, fleetEndpoints))
 	mux.HandleFunc("POST /v1/proposals/deterministic", deterministicProposal)
 	mux.HandleFunc("POST /v1/advisory-policy", gateway.policyHandler)
 	mux.HandleFunc("POST /v1/advisories", gateway.advisoryHandler)
@@ -244,6 +258,46 @@ func loadLocalCPUProviderAPIKey() (string, error) {
 	return loadProviderAPIKey("LOCAL_CPU_PROVIDER_API_KEY", "LOCAL_CPU_PROVIDER_API_KEY_FILE", "LOCAL_CPU_PROVIDER_CREDENTIAL_REF", "credential://domovoy/local-cpu/provider-api-key/v1")
 }
 
+const (
+	gpuProviderURLFile = "/run/secrets/llm_gpu_gateway_url"
+	gpuProviderKeyFile = "/run/secrets/llm_gpu_gateway_api_key"
+)
+
+func loadProtectedGPUConfiguration() (string, string, bool, error) {
+	urlValue, err := readProtectedRuntimeValue(gpuProviderURLFile)
+	if errors.Is(err, os.ErrNotExist) {
+		return "", "", false, nil
+	}
+	if err != nil {
+		return "", "", false, err
+	}
+	key, err := readProtectedRuntimeValue(gpuProviderKeyFile)
+	if errors.Is(err, os.ErrNotExist) {
+		return "", "", false, fmt.Errorf("GPU provider key is not configured")
+	}
+	if err != nil {
+		return "", "", false, err
+	}
+	return urlValue, key, true, nil
+}
+
+func readProtectedRuntimeValue(path string) (string, error) {
+	const root = "/run/secrets"
+	clean := filepath.Clean(path)
+	if clean != root && !strings.HasPrefix(clean, root+string(os.PathSeparator)) {
+		return "", fmt.Errorf("protected runtime path outside secret root")
+	}
+	payload, err := os.ReadFile(clean)
+	if err != nil {
+		return "", err
+	}
+	value := strings.TrimSpace(string(payload))
+	if value == "" || strings.ContainsAny(value, "\r\n") {
+		return "", fmt.Errorf("protected runtime value is empty or multiline")
+	}
+	return value, nil
+}
+
 func deterministicAdvisory(w http.ResponseWriter, r *http.Request) {
 	request, ok := decodeAdvisoryRequest(w, r)
 	if !ok {

cmd/cognitive-worker/main_test.go

@@ -68,3 +68,9 @@ func TestLoadProviderAPIKeyRejectsMediumDirectEnvironmentSecret(t *testing.T) {
 		t.Fatal("expected direct medium environment secret to be rejected")
 	}
 }
+
+func TestReadProtectedRuntimeValueRejectsPathOutsideSecretRoot(t *testing.T) {
+	if _, err := readProtectedRuntimeValue("/tmp/not-a-domovoy-secret"); err == nil {
+		t.Fatal("expected protected path rejection")
+	}
+}

contracts/capability/cognitive_registry.go

@@ -26,6 +26,7 @@ type PerformanceEvidenceID ids.ID
 type BillingMode string
 type AuthMode string
 type SelectionObjective string
+type ModelRatingCategory string
 
 const (
 	QualificationDiscovered QualificationState = "DISCOVERED"
@@ -73,6 +74,11 @@ const (
 	SelectionQuality  SelectionObjective = "QUALITY"
 	SelectionSpeed    SelectionObjective = "SPEED"
 	SelectionEconomy  SelectionObjective = "ECONOMY"
+
+	ModelRatingUnrated  ModelRatingCategory = "UNRATED"
+	ModelRatingFast     ModelRatingCategory = "FAST"
+	ModelRatingBalanced ModelRatingCategory = "BALANCED"
+	ModelRatingQuality  ModelRatingCategory = "QUALITY"
 )
 
 // ProviderInstance contains only opaque references to endpoint and credentials.
@@ -164,6 +170,18 @@ type ResolvedCognitiveBinding struct {
 	Model       ModelDescriptor
 	Evaluation  *EvaluatedCapability
 	Performance *PerformanceEvidence
+	Rating      *ModelRating
+}
+
+// ModelRating is a derived, provider-neutral explanation of why an eligible
+// model is routed. It never grants qualification or activation authority.
+type ModelRating struct {
+	Category               ModelRatingCategory `json:"category"`
+	OverallScoreMillis     int64               `json:"overall_score_millis"`
+	QualityScoreMillis     int64               `json:"quality_score_millis"`
+	ReliabilityScoreMillis int64               `json:"reliability_score_millis"`
+	LatencyScoreMillis     int64               `json:"latency_score_millis"`
+	EvidenceScoreMillis    int64               `json:"evidence_score_millis"`
 }
 
 type CognitiveResultClass string

deploy/docker-compose.prod.yml

@@ -218,7 +218,6 @@ services:
       LOCAL_MEDIUM_PROVIDER_API_KEY_FILE: ${LOCAL_MEDIUM_PROVIDER_API_KEY_FILE:-}
       LOCAL_MEDIUM_PROVIDER_CREDENTIAL_REF: ${LOCAL_MEDIUM_PROVIDER_CREDENTIAL_REF:-credential://domovoy/local-medium/provider-api-key/v1}
       LOCAL_LIFEBOAT_PROVIDER_URL: http://cognitive-lifeboat:8086/v1
-      LOCAL_GPU_PROVIDER_URL: http://192.168.220.91:11434
       COGNITIVE_OWNER_PRINCIPAL_ID: domovoy-creator-principal
       COGNITIVE_ALLOW_CANARY: "true"
     depends_on: [core-runtime, cognitive-lifeboat]

dev/ACTIVE_TASK.json

@@ -1,5 +1,5 @@
 {
-  "task_file": "dev/tasks/DEV-000181-medium-bounded-retest-evidence.json",
-  "task_id": "DEV-000181",
+  "task_file": "dev/tasks/DEV-000184-gpu-openai-protected-provider.json",
+  "task_id": "DEV-000184",
   "task_revision": 1
 }

dev/tasks/DEV-000182-model-rating-and-adaptive-routing.json

@@ -0,0 +1,23 @@
+{
+  "task_id": "DEV-000182",
+  "task_revision": 1,
+  "architecture_revision": "ADR-0018",
+  "base_repo_revision": "4709ef46076cf5c22522bbfea785fdb3c6220c14",
+  "risk_tier": "E",
+  "intent": "Expose an evidence-based model rating and adaptive routing policy so model category follows qualification and observed performance rather than provider or hardware names.",
+  "requirement_ids": ["WP-200", "WP-601", "adaptive model routing", "CPU-first current operation"],
+  "allowed_change_scope": {"modules": ["capability", "cognitive-worker"], "paths": ["contracts/capability/cognitive_registry.go", "modules/capability/domain/cognitive_registry.go", "modules/capability/domain/fleet.go", "modules/capability/domain/fleet_test.go", "cmd/cognitive-worker/main.go", "cmd/cognitive-worker/fleet_status_test.go", "modules/capability/domain/model_rating_test.go", "docs/MODEL_FLEET_POLICY.md", "dev/ACTIVE_TASK.json", "dev/tasks/DEV-000182-model-rating-and-adaptive-routing.json"]},
+  "forbidden_change_scope": {"paths": ["architecture/**", "security/**", "database/**", "deploy/**", ".gitea/**"]},
+  "allowed_architecture_delta": {"new_cross_module_dependencies": 0, "new_canonical_owners": 0, "new_privileges": 0, "new_third_party_dependencies": 0, "new_database_owner_roles": 0},
+  "contracts": {"consume": ["EvaluatedCapability", "PerformanceEvidence", "CognitiveRequirement"], "may_change": ["provider-neutral model rating projection"]},
+  "semantic_owner": "capability",
+  "canonical_state": ["existing owner-local qualification and performance evidence; rating is a derived projection"],
+  "state_transitions": ["unrated -> rated only after supported qualification evidence; category is recomputed from current evidence; routing chooses an eligible rated candidate and falls back on invocation failure"],
+  "side_effects_and_privileges": ["none; no provider invocation or external mutation"],
+  "persistence_and_migrations": ["no migration; rating is derived and serializable"],
+  "failure_retry_restart": ["missing or stale evidence yields UNRATED and cannot silently claim quality; existing gateway fallback remains authoritative"],
+  "assumptions": ["CPU is the current operational choice, but routing remains provider- and hardware-neutral", "discovery never activates a binding"],
+  "acceptance_scenarios": ["supported evidence produces a visible rating and category", "missing evidence remains UNRATED", "quality objective prefers higher evidence rating", "speed objective prefers lower observed latency", "provider identity alone cannot raise a rating", "CPU is preferred now but all ready capability classes remain valid failover candidates"],
+  "required_tests": ["go test ./...", "go vet ./...", "preflight", "check-diff", "check-architecture", "independent", "git diff --check", "CI"],
+  "terminal_gap_states": ["BLOCKED_BY_SPEC_GAP", "BLOCKED_BY_CONFLICT"]
+}

dev/tasks/DEV-000184-gpu-openai-protected-provider.json

@@ -0,0 +1,23 @@
+{
+  "task_id": "DEV-000184",
+  "task_revision": 1,
+  "architecture_revision": "ADR-0018",
+  "base_repo_revision": "16a0e8c4924a2e644294e12f048e747c00f940b9",
+  "risk_tier": "E",
+  "intent": "Connect an optional OpenAI-compatible GPU provider through protected Domovoy storage without literal provider credentials or hardwired environment configuration, while preserving CPU/Lifeboat degraded operation.",
+  "requirement_ids": ["GPU provider endpoint is authenticated through protected storage", "GPU absence or invalid configuration does not stop cognitive-worker", "fleet readiness and discovery use OpenAI-compatible /v1/models", "CPU and Lifeboat remain available fallback paths"],
+  "allowed_change_scope": {"modules": ["cognitive-worker", "deployment"], "paths": ["cmd/cognitive-worker/**", "deploy/docker-compose.prod.yml", "dev/ACTIVE_TASK.json", "dev/tasks/DEV-000184-gpu-openai-protected-provider.json"]},
+  "forbidden_change_scope": {"paths": ["architecture/**", "database/**", "contracts/**", "modules/**", "security/**", ".gitea/**"]},
+  "allowed_architecture_delta": {"new_cross_module_dependencies": 0, "new_canonical_owners": 0, "new_privileges": 1, "new_third_party_dependencies": 0, "new_database_owner_roles": 0},
+  "contracts": {"consume": ["protected Domovoy secret files", "OpenAI-compatible /v1/models and /v1/chat/completions", "existing cognitive gateway and fleet readiness contracts"], "may_change": []},
+  "semantic_owner": "capability provider adapter projection",
+  "canonical_state": [],
+  "state_transitions": ["missing/invalid protected GPU config -> provider omitted and degraded readiness", "valid config -> authenticated discovery/readiness and optional heavy-tier candidate"],
+  "side_effects_and_privileges": ["outbound authenticated requests to the explicitly configured GPU endpoint; no credentials forwarded to Core or user responses"],
+  "persistence_and_migrations": ["no schema changes; protected file storage only"],
+  "failure_retry_restart": ["GPU timeout/unavailability falls back through existing router to CPU/Lifeboat", "restart reloads protected files", "invalid config disables only optional GPU provider"],
+  "assumptions": ["the supplied endpoint implements OpenAI-compatible /v1/models and /v1/chat/completions", "the protected secret volume is mounted read-only into cognitive-worker", "docker-test remains prohibited"],
+  "acceptance_scenarios": ["GPU /v1/models succeeds with protected key", "GPU key never appears in env/logs/responses", "GPU discovery creates provider-neutral records", "fleet readiness reports GPU heavy tier only when configured", "stopping GPU leaves CPU/Lifeboat ready", "chat remains available without GPU files"],
+  "required_tests": ["go test ./cmd/cognitive-worker ./adapters/models", "go vet ./...", "go run ./cmd/devctl preflight -task dev/tasks/DEV-000184-gpu-openai-protected-provider.json", "go run ./cmd/devctl check-diff -task dev/tasks/DEV-000184-gpu-openai-protected-provider.json", "go run ./cmd/devctl check-architecture", "go run ./cmd/devctl/independent", "git diff --check", "CI", "production protected-key models/readiness/live fallback checks"],
+  "terminal_gap_states": ["BLOCKED_BY_MISSING_CAPABILITY", "BLOCKED_BY_SPEC_GAP", "BLOCKED_BY_CONFLICT"]
+}

docs/MODEL_FLEET_POLICY.md

@@ -0,0 +1,24 @@
+# Model fleet policy
+
+Domovoy does not equate intelligence with GPU, model name, or provider kind.
+Hardware and endpoint identity are operational observations only. A model is
+eligible for routing only after the existing qualification and activation
+gates pass.
+
+`FAST`, `MEDIUM`, and `HEAVY` are capability service classes, not hardware
+claims. A CPU model may be the best available quality model, and a GPU model
+may be unavailable, degraded, or unrated.
+
+The Capability owner derives a provider-neutral `ModelRating` from evidence:
+
+- `QUALITY`: high measured quality and zero critical failures;
+- `BALANCED`: supported model with usable quality/reliability evidence;
+- `FAST`: supported model whose observed latency is strong enough for quick work;
+- `UNRATED`: discovery or incomplete evidence; it cannot be promoted by name.
+
+The score combines quality, reliability, latency and evidence coverage. Missing
+measurements remain explicit. A model can change category after a new immutable
+qualification/performance revision. The current CPU route is an operational
+choice, not a permanent hardware assumption. CPU is preferred in the current
+deployment; if it is unavailable, the policy tries another ready class before
+using the Lifeboat recovery path.

modules/capability/domain/cognitive_registry.go

@@ -148,6 +148,8 @@ func SelectCognitiveBinding(requirement capability.CognitiveRequirement, candida
 		if candidate.Evaluation != nil && candidate.Evaluation.Result == capability.EvaluationUnsupported {
 			continue
 		}
+		rating := RateCognitiveBinding(candidate)
+		candidate.Rating = &rating
 		if requirement.MaxCostMicros != nil {
 			cost, known := estimatedCost(candidate.Provider, requirement.InputBytes, requirement.MaxOutputBytes)
 			if known && cost > *requirement.MaxCostMicros {
@@ -165,6 +167,56 @@ func SelectCognitiveBinding(requirement capability.CognitiveRequirement, candida
 	return capability.ResolvedCognitiveBinding{}, ErrNoInvocableCognitiveBinding
 }
 
+// RateCognitiveBinding derives a transparent routing category from measured
+// evidence. Provider kind, endpoint name and hardware are intentionally not
+// inputs to the score.
+func RateCognitiveBinding(candidate capability.ResolvedCognitiveBinding) capability.ModelRating {
+	if candidate.Evaluation == nil || candidate.Evaluation.Result != capability.EvaluationSupported || candidate.Evaluation.QualityScoreMillis == nil || candidate.Evaluation.CriticalFailureMillis == nil {
+		return capability.ModelRating{Category: capability.ModelRatingUnrated}
+	}
+	quality := clampMillis(*candidate.Evaluation.QualityScoreMillis)
+	reliability := 1000 - clampMillis(*candidate.Evaluation.CriticalFailureMillis)
+	latency := int64(500)
+	if candidate.Performance != nil && candidate.Performance.LatencyMicros != nil {
+		latency = latencyScore(*candidate.Performance.LatencyMicros)
+	}
+	evidence := int64(700)
+	if candidate.Performance != nil {
+		evidence = 1000
+	}
+	overall := (quality*55 + reliability*25 + latency*15 + evidence*5) / 100
+	category := capability.ModelRatingBalanced
+	if overall >= 850 && quality >= 800 {
+		category = capability.ModelRatingQuality
+	} else if latency >= 800 && overall >= 700 {
+		category = capability.ModelRatingFast
+	}
+	return capability.ModelRating{Category: category, OverallScoreMillis: overall, QualityScoreMillis: quality, ReliabilityScoreMillis: reliability, LatencyScoreMillis: latency, EvidenceScoreMillis: evidence}
+}
+
+func clampMillis(value int64) int64 {
+	if value < 0 {
+		return 0
+	}
+	if value > 1000 {
+		return 1000
+	}
+	return value
+}
+
+func latencyScore(latencyMicros int64) int64 {
+	if latencyMicros <= 500_000 {
+		return 1000
+	}
+	if latencyMicros <= 2_000_000 {
+		return 800
+	}
+	if latencyMicros <= 10_000_000 {
+		return 500
+	}
+	return 200
+}
+
 func dataPolicySatisfies(actual, allowed capability.DataPolicy) bool {
 	return actual == capability.DataPolicyLocalOnly || actual == allowed
 }
@@ -198,6 +250,9 @@ func betterCandidate(left, right capability.ResolvedCognitiveBinding, objective
 		}
 	}
 	if objective == capability.SelectionQuality || objective == capability.SelectionBalanced || objective == "" {
+		if left.Rating != nil && right.Rating != nil && left.Rating.OverallScoreMillis != right.Rating.OverallScoreMillis {
+			return left.Rating.OverallScoreMillis > right.Rating.OverallScoreMillis
+		}
 		li, ri := left.Model.IntelligenceScoreMillis, right.Model.IntelligenceScoreMillis
 		if li != nil && ri != nil && *li != *ri {
 			return *li > *ri

modules/capability/domain/fleet.go

@@ -58,7 +58,7 @@ func fleetFailoverOrder(preferred capability.FleetTier) []capability.FleetTier {
 	case capability.FleetTierMedium:
 		return []capability.FleetTier{capability.FleetTierMedium, capability.FleetTierFast}
 	case capability.FleetTierFast:
-		return []capability.FleetTier{capability.FleetTierFast}
+		return []capability.FleetTier{capability.FleetTierFast, capability.FleetTierMedium, capability.FleetTierHeavy}
 	case capability.FleetTierLifeboat:
 		return []capability.FleetTier{capability.FleetTierLifeboat}
 	default:

modules/capability/domain/fleet_test.go

@@ -46,3 +46,17 @@ func TestFleetReadinessFallsBackFromHeavyToFastBeforeLifeboat(t *testing.T) {
 		t.Fatalf("selected=%q err=%v", selected, err)
 	}
 }
+
+func TestFleetReadinessCpuPreferenceCanUseOtherReadyClass(t *testing.T) {
+	readiness, err := BuildFleetReadiness(100, []capability.FleetMember{
+		{ProviderInstanceID: "medium", ModelDescriptorID: "medium-model", Tier: capability.FleetTierMedium, Ready: true, Reason: "available"},
+		{ProviderInstanceID: "lifeboat", ModelDescriptorID: "lifeboat-model", Tier: capability.FleetTierLifeboat, Ready: true, Reason: "available"},
+	})
+	if err != nil {
+		t.Fatal(err)
+	}
+	selected, err := SelectFleetTier(readiness, capability.FleetTierFast)
+	if err != nil || selected != capability.FleetTierMedium {
+		t.Fatalf("selected=%q err=%v", selected, err)
+	}
+}

modules/capability/domain/model_rating_test.go

@@ -0,0 +1,40 @@
+package domain
+
+import (
+	"testing"
+
+	"git.cin.su/m/Assistant/contracts/capability"
+)
+
+func TestRateCognitiveBindingRequiresSupportedEvidence(t *testing.T) {
+	rating := RateCognitiveBinding(capability.ResolvedCognitiveBinding{})
+	if rating.Category != capability.ModelRatingUnrated || rating.OverallScoreMillis != 0 {
+		t.Fatalf("rating=%+v", rating)
+	}
+}
+
+func TestRateCognitiveBindingUsesEvidenceNotProviderName(t *testing.T) {
+	quality, critical, latency := int64(900), int64(0), int64(400_000)
+	base := capability.ResolvedCognitiveBinding{
+		Provider:    capability.ProviderInstance{Kind: "openai-compatible-chat-v1"},
+		Evaluation:  &capability.EvaluatedCapability{Result: capability.EvaluationSupported, QualityScoreMillis: &quality, CriticalFailureMillis: &critical},
+		Performance: &capability.PerformanceEvidence{LatencyMicros: &latency},
+	}
+	other := base
+	other.Provider.Kind = "ollama-v1"
+	left, right := RateCognitiveBinding(base), RateCognitiveBinding(other)
+	if left != right || left.Category != capability.ModelRatingQuality {
+		t.Fatalf("provider changed rating: left=%+v right=%+v", left, right)
+	}
+}
+
+func TestRateCognitiveBindingClassifiesSlowEvidenceAsBalanced(t *testing.T) {
+	quality, critical, latency := int64(800), int64(0), int64(20_000_000)
+	rating := RateCognitiveBinding(capability.ResolvedCognitiveBinding{
+		Evaluation:  &capability.EvaluatedCapability{Result: capability.EvaluationSupported, QualityScoreMillis: &quality, CriticalFailureMillis: &critical},
+		Performance: &capability.PerformanceEvidence{LatencyMicros: &latency},
+	})
+	if rating.Category != capability.ModelRatingBalanced || rating.LatencyScoreMillis != 200 {
+		t.Fatalf("rating=%+v", rating)
+	}
+}