feat: connect protected OpenAI-compatible GPU provider #156

Merged
m merged 1 commits from codex/gpu-openai-provider into main 2026-08-22 21:27:58 +00:00
5 changed files with 100 additions and 18 deletions
+69 -15
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@@ -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})
@@ -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 {
+6
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@@ -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")
}
}
-1
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@@ -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]
+2 -2
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@@ -1,5 +1,5 @@
{
"task_file": "dev/tasks/DEV-000182-model-rating-and-adaptive-routing.json",
"task_id": "DEV-000182",
"task_file": "dev/tasks/DEV-000184-gpu-openai-protected-provider.json",
"task_id": "DEV-000184",
"task_revision": 1
}
@@ -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"]
}