feat(gateway): add Seedream 5.0 Pro

This commit is contained in:
2026-07-13 12:53:48 +08:00
parent 03abc0eab7
commit 9c300de72c
8 changed files with 460 additions and 5 deletions
+114
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@@ -4,6 +4,7 @@ import (
"context"
"encoding/base64"
"encoding/json"
"fmt"
"net/http"
"net/http/httptest"
"strings"
@@ -1673,6 +1674,119 @@ func TestVolcesClientImageEditPreservesExplicitSequentialDisabledAndClampsMaxIma
}
}
func TestVolcesClientSeedreamProGenerationUsesRealModelAndSingleOutput(t *testing.T) {
var captured map[string]any
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if err := json.NewDecoder(r.Body).Decode(&captured); err != nil {
t.Fatalf("decode request: %v", err)
}
_ = json.NewEncoder(w).Encode(map[string]any{
"id": "img-seedream-pro",
"data": []any{map[string]any{"url": "https://example.com/out.png"}},
})
}))
defer server.Close()
_, err := (VolcesClient{HTTPClient: server.Client()}).Run(context.Background(), Request{
Kind: "images.generations",
ModelType: "image_generate",
Model: "Seedream-5.0-Pro",
Body: map[string]any{
"model": "Seedream-5.0-Pro",
"prompt": "draw a mountain",
"resolution": "2K",
"n": 4,
"sequential_image_generation": "auto",
"sequential_image_generation_options": map[string]any{"max_images": 4},
},
Candidate: store.RuntimeModelCandidate{
BaseURL: server.URL,
ModelName: "Seedream-5.0-Pro",
ModelAlias: "Seedream-5.0-Pro",
ProviderModelName: "doubao-seedream-5-0-pro-260628",
Credentials: map[string]any{"apiKey": "volces-key"},
Capabilities: map[string]any{
"image_generate": map[string]any{
"output_multiple_images": false,
"output_max_images_count": 1,
},
},
},
})
if err != nil {
t.Fatalf("run Seedream Pro generation: %v", err)
}
if captured["model"] != "doubao-seedream-5-0-pro-260628" || captured["size"] != "2K" {
t.Fatalf("Seedream Pro should use the real model and resolution size, got %+v", captured)
}
if captured["n"] != float64(1) {
t.Fatalf("Seedream Pro should force single-image output, got %+v", captured)
}
if _, ok := captured["sequential_image_generation"]; ok {
t.Fatalf("Seedream Pro request must not include sequential image generation, got %+v", captured)
}
if _, ok := captured["sequential_image_generation_options"]; ok {
t.Fatalf("Seedream Pro request must not include sequential image options, got %+v", captured)
}
}
func TestVolcesClientSeedreamProEditForwardsTenReferencesAndCustomSize(t *testing.T) {
var captured map[string]any
server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
if err := json.NewDecoder(r.Body).Decode(&captured); err != nil {
t.Fatalf("decode request: %v", err)
}
_ = json.NewEncoder(w).Encode(map[string]any{
"id": "img-seedream-pro-edit",
"data": []any{map[string]any{"url": "https://example.com/out.png"}},
})
}))
defer server.Close()
images := make([]any, 10)
for index := range images {
images[index] = fmt.Sprintf("https://example.com/reference-%d.png", index+1)
}
_, err := (VolcesClient{HTTPClient: server.Client()}).Run(context.Background(), Request{
Kind: "images.edits",
ModelType: "image_edit",
Model: "Seedream-5.0-Pro",
Body: map[string]any{
"model": "Seedream-5.0-Pro",
"prompt": "combine the references",
"image": images,
"width": 1600,
"height": 900,
},
Candidate: store.RuntimeModelCandidate{
BaseURL: server.URL,
ModelName: "Seedream-5.0-Pro",
ModelAlias: "Seedream-5.0-Pro",
ProviderModelName: "doubao-seedream-5-0-pro-260628",
Credentials: map[string]any{"apiKey": "volces-key"},
Capabilities: map[string]any{
"image_edit": map[string]any{
"input_multiple_images": true,
"input_max_images_count": 10,
"output_multiple_images": false,
"output_max_images_count": 1,
"input_max_file_size_bytes": 30 * 1024 * 1024,
},
},
},
})
if err != nil {
t.Fatalf("run Seedream Pro edit: %v", err)
}
gotImages, _ := captured["image"].([]any)
if captured["model"] != "doubao-seedream-5-0-pro-260628" || captured["size"] != "1600x900" || len(gotImages) != 10 {
t.Fatalf("Seedream Pro edit should preserve ten references and custom size, got %+v", captured)
}
if _, ok := captured["sequential_image_generation"]; ok {
t.Fatalf("Seedream Pro edit must not include sequential image generation, got %+v", captured)
}
}
func TestVolcesClientVideoSubmitsAndPollsTask(t *testing.T) {
var submitPath string
var pollPath string
+11 -3
View File
@@ -781,14 +781,22 @@ func supportsMultipleOutputs(request Request, capabilityName string) bool {
}
func normalizeVolcesSequentialImageGeneration(body map[string]any, request Request) {
if !supportsMultipleOutputs(request, request.ModelType) {
delete(body, "sequential_image_generation")
delete(body, "sequential_image_generation_options")
if numericValue(body["n"], 1) > 1 {
body["n"] = 1
}
if numericValue(body["batch_size"], 1) > 1 {
body["batch_size"] = 1
}
return
}
options, hasOptions := volcesSequentialImageGenerationOptions(body)
normalizeVolcesSequentialMaxImages(options, request)
if _, explicit := body["sequential_image_generation"]; explicit {
return
}
if !supportsMultipleOutputs(request, request.ModelType) {
return
}
count := requestedVolcesSequentialImageCount(body, options)
if count <= 1 {
return
@@ -125,6 +125,7 @@ func TestCoreLocalFlow(t *testing.T) {
t.Fatalf("connect test pool: %v", err)
}
defer testPool.Close()
assertSeedreamProCatalogMigration(t, ctx, testPool)
if _, err := testPool.Exec(ctx, `UPDATE gateway_users SET roles = '["admin"]'::jsonb WHERE username = $1`, username); err != nil {
t.Fatalf("promote smoke user: %v", err)
}
@@ -1794,6 +1795,42 @@ CREATE TABLE IF NOT EXISTS schema_migrations (
}
}
func assertSeedreamProCatalogMigration(t *testing.T, ctx context.Context, pool *pgxpool.Pool) {
t.Helper()
var valid bool
if err := pool.QueryRow(ctx, `
SELECT EXISTS (
SELECT 1
FROM base_model_catalog model
WHERE model.provider_key = 'volces'
AND model.canonical_model_key = 'volces:doubao-seedream-5-0-pro-260628'
AND model.provider_model_name = 'doubao-seedream-5-0-pro-260628'
AND model.display_name = 'Seedream-5.0-Pro'
AND model.display_name !~ '[[:space:]]'
AND model.model_type = '["image_edit","image_generate"]'::jsonb
AND model.capabilities->'image_edit'->>'input_multiple_images' = 'true'
AND model.capabilities->'image_edit'->>'input_max_images_count' = '10'
AND model.capabilities->'image_edit'->>'input_max_file_size_bytes' = '31457280'
AND model.capabilities->'image_edit'->'output_resolutions' = '["1K","2K"]'::jsonb
AND model.capabilities->'image_edit'->'output_size_range' = '[921600,4624220]'::jsonb
AND model.capabilities->'image_edit'->'aspect_ratio_range' = '[0.0625,16]'::jsonb
AND model.capabilities->'image_edit'->>'output_multiple_images' = 'false'
AND model.capabilities->'image_edit'->>'output_max_images_count' = '1'
AND model.capabilities->'image_generate'->>'allow_custom_width_height_size' = 'true'
AND model.capabilities->'image_generate'->>'output_multiple_images' = 'false'
AND model.capabilities->>'stream' = 'false'
AND model.capabilities->>'supportWebSearch' = 'false'
AND model.default_rate_limit_policy->'rules'->0->>'limit' = '500'
AND model.default_snapshot->>'modelAlias' = 'Seedream-5.0-Pro'
AND model.default_snapshot->>'displayName' = 'Seedream 5.0 Pro'
)`).Scan(&valid); err != nil {
t.Fatalf("query Seedream 5.0 Pro catalog migration: %v", err)
}
if !valid {
t.Fatal("Seedream 5.0 Pro catalog migration does not match the expected alias, upstream model, capabilities, or rate limit")
}
}
func doJSON(t *testing.T, baseURL string, method string, path string, token string, payload any, expectedStatus int, out any) {
t.Helper()
doJSONWithHeaders(t, baseURL, method, path, token, payload, nil, expectedStatus, out)
+1 -1
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@@ -238,7 +238,7 @@ func buildModelCatalog(
current = &catalogGroup{
key: key,
alias: firstNonEmpty(model.ModelAlias, model.DisplayName, model.ModelName),
displayName: firstNonEmpty(model.ModelAlias, model.DisplayName, model.ModelName),
displayName: firstNonEmpty(model.DisplayName, model.ModelAlias, model.ModelName),
modelName: model.ModelName,
modelType: cloneStringSlice(model.ModelType),
capabilities: cloneObject(model.Capabilities),
@@ -1,6 +1,7 @@
package httpapi
import (
"strings"
"testing"
"github.com/easyai/easyai-ai-gateway/apps/api/internal/store"
@@ -114,6 +115,36 @@ func TestBuildModelCatalogAggregatesSources(t *testing.T) {
}
}
func TestBuildModelCatalogKeepsDisplayNameSeparateFromCallAlias(t *testing.T) {
models := []store.PlatformModel{
{
ID: "seedream-pro",
PlatformID: "platform-volces",
ModelName: "Seedream-5.0-Pro",
ProviderModelName: "doubao-seedream-5-0-pro-260628",
ModelAlias: "Seedream-5.0-Pro",
ModelType: store.StringList{"image_edit", "image_generate"},
DisplayName: "Seedream 5.0 Pro",
Enabled: true,
},
}
platforms := []store.Platform{
{ID: "platform-volces", Provider: "volces", Name: "火山引擎", Status: "enabled"},
}
response := buildModelCatalog(models, platforms, nil, nil, nil, nil, nil)
if len(response.Items) != 1 {
t.Fatalf("expected one Seedream Pro catalog item, got %+v", response.Items)
}
item := response.Items[0]
if item.Alias != "Seedream-5.0-Pro" || item.DisplayName != "Seedream 5.0 Pro" || item.ModelName != "Seedream-5.0-Pro" {
t.Fatalf("catalog should separate the call alias from the display name, got %+v", item)
}
if strings.Contains(item.Alias, " ") {
t.Fatalf("Seedream Pro call alias must not contain spaces, got %q", item.Alias)
}
}
func TestBuildModelCatalogUsesBaseModelProviderForProviderFilters(t *testing.T) {
models := []store.PlatformModel{
{
@@ -722,10 +722,13 @@ func (imageCountProcessor) ShouldProcess(params map[string]any, modelType string
func (imageCountProcessor) Process(params map[string]any, modelType string, context *paramProcessContext) bool {
capability := capabilityForType(context.modelCapability, modelType)
if capability == nil || !boolFromAny(capability["output_multiple_images"]) {
if capability == nil {
return true
}
maxCount := int(math.Round(floatFromAny(capability["output_max_images_count"])))
if !boolFromAny(capability["output_multiple_images"]) {
maxCount = 1
}
if maxCount <= 0 {
return true
}
@@ -662,6 +662,31 @@ func TestParamProcessorImageResolutionAndOutputCount(t *testing.T) {
}
}
func TestParamProcessorForcesSingleImageWhenMultipleOutputsAreDisabled(t *testing.T) {
body := map[string]any{
"model": "Seedream-5.0-Pro",
"prompt": "draw",
"n": 4,
}
candidate := store.RuntimeModelCandidate{
ModelType: "image_generate",
Capabilities: map[string]any{
"image_generate": map[string]any{
"output_multiple_images": false,
"output_max_images_count": 1,
},
},
}
result := preprocessRequestWithLog("images.generations", body, candidate)
if result.Body["n"] != 1 {
t.Fatalf("single-output image model should force n=1, got %+v", result.Body)
}
if len(result.Log.Changes) == 0 || result.Log.Changes[len(result.Log.Changes)-1].CapabilityPath != "capabilities.image_generate.output_max_images_count" {
t.Fatalf("single-output adjustment should be logged against output_max_images_count, got %+v", result.Log.Changes)
}
}
func TestParamProcessorImageSizeConstraintsNormalizeExplicitDimensions(t *testing.T) {
body := map[string]any{
"model": "doubao-5.0图像编辑",