feat: add EmpirioLabs AI as a model provider (#21192)

conf/llm_factories.json

@@ -3508,6 +3508,14 @@
             "llm": [],
             "url": "https://api.opper.ai/v3/compat"
         },
+        {
+            "name": "EmpirioLabs AI",
+            "logo": "",
+            "tags": "LLM,TEXT EMBEDDING,TEXT RE-RANK,IMAGE2TEXT",
+            "status": "1",
+            "llm": [],
+            "url": "https://api.empiriolabs.ai/v1"
+        },
         {
             "name": "StepFun",
             "logo": "",

conf/model.md

@@ -179,6 +179,7 @@ The following providers are **aggregators** — they host models from multiple u
 | **CometAPI** | Multi-provider aggregator |
 | **DeepInfra** | Open-source model hosting |
 | **Demon Route** | OpenAI-compatible router |
+| **EmpirioLabs AI** | AI inference provider |
 | **FuturMix** | Multi-provider aggregator |
 | **GiteeAI** | Chinese aggregator |
 | **GreenPT** | GLM-based models |

conf/models/empiriolabs.json

@@ -0,0 +1,111 @@
+{
+  "name": "EmpirioLabs AI",
+  "url": {
+    "default": "https://api.empiriolabs.ai/v1"
+  },
+  "url_suffix": {
+    "chat": "chat/completions",
+    "models": "models",
+    "embedding": "embeddings",
+    "rerank": "reranks"
+  },
+  "class": "empiriolabs",
+  "models": [
+    {
+      "name": "qwen3-8-flash",
+      "context_length": 1000000,
+      "max_output": 131072,
+      "model_types": [
+        "chat",
+        "vision"
+      ],
+      "tools": {
+        "support": true
+      }
+    },
+    {
+      "name": "qwen3-7-max",
+      "context_length": 1000000,
+      "max_output": 65536,
+      "model_types": [
+        "chat"
+      ],
+      "tools": {
+        "support": true
+      }
+    },
+    {
+      "name": "deepseek-v4-pro",
+      "context_length": 1000000,
+      "max_output": 393216,
+      "model_types": [
+        "chat"
+      ],
+      "tools": {
+        "support": true
+      }
+    },
+    {
+      "name": "deepseek-v4-1-flash",
+      "context_length": 1000000,
+      "max_output": 393216,
+      "model_types": [
+        "chat",
+        "vision"
+      ],
+      "tools": {
+        "support": true
+      }
+    },
+    {
+      "name": "glm-5-3",
+      "context_length": 1000000,
+      "max_output": 131072,
+      "model_types": [
+        "chat"
+      ],
+      "tools": {
+        "support": true
+      }
+    },
+    {
+      "name": "kimi-k2-7-code",
+      "context_length": 256000,
+      "max_output": 131072,
+      "model_types": [
+        "chat",
+        "vision"
+      ],
+      "tools": {
+        "support": true
+      }
+    },
+    {
+      "name": "minimax-m3",
+      "context_length": 1000000,
+      "max_output": 524288,
+      "model_types": [
+        "chat",
+        "vision"
+      ],
+      "tools": {
+        "support": true
+      }
+    },
+    {
+      "name": "text-embedding-v4",
+      "max_tokens": 8192,
+      "model_types": [
+        "embedding"
+      ],
+      "max_batch_size": 10
+    },
+    {
+      "name": "qwen3-rerank",
+      "max_tokens": 4000,
+      "model_types": [
+        "rerank"
+      ]
+    }
+  ]
+}

internal/entity/models/empiriolabs.go

@@ -0,0 +1,42 @@
+//
+//  Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
+//
+//  Licensed under the Apache License, Version 2.0 (the "License");
+//  you may not use this file except in compliance with the License.
+//  You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+//  Unless required by applicable law or agreed to in writing, software
+//  distributed under the License is distributed on an "AS IS" BASIS,
+//  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//  See the License for the specific language governing permissions and
+//  limitations under the License.
+//
+
+package models
+
+// EmpirioLabsModel drives EmpirioLabs AI (https://api.empiriolabs.ai/v1),
+// whose chat, embedding, rerank and model-list endpoints follow the
+// OpenAI-compatible shapes, so the embedded OpenAIAPICompatibleModel covers
+// every call.
+type EmpirioLabsModel struct {
+	*OpenAIAPICompatibleModel
+}
+
+// NewEmpirioLabsModel creates an EmpirioLabs AI driver.
+func NewEmpirioLabsModel(baseURL map[string]string, urlSuffix URLSuffix) *EmpirioLabsModel {
+	return &EmpirioLabsModel{
+		OpenAIAPICompatibleModel: NewOpenAIAPICompatibleModel(baseURL, urlSuffix),
+	}
+}
+
+// Name returns the driver name.
+func (m *EmpirioLabsModel) Name() string {
+	return "empiriolabs"
+}
+
+// NewInstance returns a driver bound to the given base URL.
+func (m *EmpirioLabsModel) NewInstance(baseURL map[string]string) ModelDriver {
+	return NewEmpirioLabsModel(baseURL, m.baseModel.URLSuffix)
+}

internal/entity/models/empiriolabs_test.go

@@ -0,0 +1,228 @@
+//
+//  Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
+//
+//  Licensed under the Apache License, Version 2.0 (the "License");
+//  you may not use this file except in compliance with the License.
+//  You may obtain a copy of the License at
+//
+//      http://www.apache.org/licenses/LICENSE-2.0
+//
+//  Unless required by applicable law or agreed to in writing, software
+//  distributed under the License is distributed on an "AS IS" BASIS,
+//  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+//  See the License for the specific language governing permissions and
+//  limitations under the License.
+//
+
+package models
+
+import (
+	"encoding/json"
+	"net/http"
+	"net/http/httptest"
+	"ragflow/internal/common"
+	"testing"
+)
+
+// newEmpirioLabsForTest creates an EmpirioLabsModel instance for testing.
+func newEmpirioLabsForTest(baseURL string) *EmpirioLabsModel {
+	return NewEmpirioLabsModel(
+		map[string]string{"default": baseURL},
+		URLSuffix{Chat: "chat/completions", Models: "models", Embedding: "embeddings", Rerank: "reranks"},
+	)
+}
+
+// TestEmpirioLabsName tests the driver name.
+func TestEmpirioLabsName(t *testing.T) {
+	if got := newEmpirioLabsForTest("http://unused").Name(); got != "empiriolabs" {
+		t.Errorf("Name()=%q", got)
+	}
+}
+
+// TestEmpirioLabsFactory tests creating the driver from factory.
+func TestEmpirioLabsFactory(t *testing.T) {
+	driver, err := NewModelFactory().CreateModelDriver("EmpirioLabs AI", map[string]string{"default": "http://unused"}, URLSuffix{})
+	if err != nil {
+		t.Fatalf("CreateModelDriver: %v", err)
+	}
+	if _, ok := driver.(*EmpirioLabsModel); !ok {
+		t.Fatalf("driver type=%T, want *EmpirioLabsModel", driver)
+	}
+	if _, ok := driver.NewInstance(map[string]string{"default": "http://other"}).(*EmpirioLabsModel); !ok {
+		t.Fatal("NewInstance did not return *EmpirioLabsModel")
+	}
+}
+
+// The shipped config must resolve to the EmpirioLabs AI driver. CreateModelDriver
+// dispatches on strings.ToLower(name), so the "EmpirioLabs AI" provider name has
+// to match the "empiriolabs ai" case; anything else silently falls through to
+// DummyModel. The rerank endpoint is "reranks" (plural) and the embeddings
+// endpoint takes at most 10 inputs per request, so both are pinned here.
+func TestEmpirioLabsProviderConfig(t *testing.T) {
+	dir, restore := setupProviderTestDir(t, "empiriolabs.json")
+	defer restore()
+
+	if err := InitProviderManager(dir); err != nil {
+		t.Fatalf("InitProviderManager: %v", err)
+	}
+
+	provider := GetProviderManager().FindProvider("EmpirioLabs AI")
+	if provider == nil {
+		t.Fatal("EmpirioLabs AI provider not found")
+	}
+	if _, ok := provider.ModelDriver.(*EmpirioLabsModel); !ok {
+		t.Fatalf("ModelDriver=%T, want *models.EmpirioLabsModel", provider.ModelDriver)
+	}
+	if provider.URLSuffix.Rerank != "reranks" {
+		t.Errorf("rerank url_suffix=%q, want reranks", provider.URLSuffix.Rerank)
+	}
+	for _, model := range provider.Models {
+		if model.ModelTypeMap["embedding"] && (model.MaxBatchSize == nil || *model.MaxBatchSize > 10) {
+			t.Errorf("embedding model %s must declare max_batch_size <= 10", model.Name)
+		}
+	}
+}
+
+// TestEmpirioLabsChatSendsAPIKey tests chat completion authentication.
+func TestEmpirioLabsChatSendsAPIKey(t *testing.T) {
+	withSSRFBypass(t)
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if r.URL.Path != "/chat/completions" {
+			t.Errorf("path=%s", r.URL.Path)
+		}
+		if got := r.Header.Get("Authorization"); got != "Bearer sk-gw-test" {
+			t.Errorf("Authorization=%q", got)
+		}
+		_ = json.NewEncoder(w).Encode(map[string]any{
+			"id":      "chat-empiriolabs",
+			"choices": []map[string]any{{"message": map[string]any{"content": "pong"}}},
+			"usage":   map[string]any{"prompt_tokens": 3, "completion_tokens": 5, "total_tokens": 8},
+		})
+	}))
+	defer srv.Close()
+
+	usage := &common.ModelUsage{}
+	resp, err := newEmpirioLabsForTest(srv.URL).ChatWithMessages(
+		t.Context(),
+		"qwen3-8-flash",
+		[]Message{{Role: "user", Content: "ping"}},
+		&APIConfig{ApiKey: &testAPIKey},
+		nil,
+		usage,
+	)
+	if err != nil {
+		t.Fatalf("ChatWithMessages: %v", err)
+	}
+	if *resp.Answer != "pong" {
+		t.Errorf("Answer=%q", *resp.Answer)
+	}
+	assertModelUsage(t, usage, 3, 5, 8)
+}
+
+// TestEmpirioLabsEmbed tests embedding requests.
+func TestEmpirioLabsEmbed(t *testing.T) {
+	withSSRFBypass(t)
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if r.URL.Path != "/embeddings" {
+			t.Errorf("path=%s", r.URL.Path)
+		}
+		_ = json.NewEncoder(w).Encode(map[string]any{
+			"data":  []map[string]any{{"embedding": []float64{0.1, 0.2}, "index": 0}},
+			"usage": map[string]any{"prompt_tokens": 7, "total_tokens": 7},
+		})
+	}))
+	defer srv.Close()
+
+	modelName := "text-embedding-v4"
+	embeddings, err := newEmpirioLabsForTest(srv.URL).Embed(
+		t.Context(),
+		&modelName,
+		EmbedRequest{Texts: []string{"document"}},
+		&APIConfig{ApiKey: &testAPIKey},
+		nil,
+		&common.ModelUsage{},
+	)
+	if err != nil {
+		t.Fatalf("Embed: %v", err)
+	}
+	if len(embeddings) != 1 || len(embeddings[0].Embedding) != 2 {
+		t.Fatalf("embeddings=%#v", embeddings)
+	}
+}
+
+// TestEmpirioLabsRerank tests rerank requests against the plural reranks endpoint.
+func TestEmpirioLabsRerank(t *testing.T) {
+	withSSRFBypass(t)
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if r.Method != http.MethodPost || r.URL.Path != "/reranks" {
+			t.Errorf("%s %s", r.Method, r.URL.Path)
+		}
+		if got := r.Header.Get("Authorization"); got != "Bearer sk-gw-test" {
+			t.Errorf("Authorization=%q", got)
+		}
+		var body struct {
+			Model     string   `json:"model"`
+			Query     string   `json:"query"`
+			Documents []string `json:"documents"`
+			TopN      int      `json:"top_n"`
+		}
+		if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
+			t.Errorf("decode request: %v", err)
+		}
+		if body.Model != "qwen3-rerank" || body.Query != "query" || len(body.Documents) != 2 || body.TopN != 2 {
+			t.Errorf("body=%+v", body)
+		}
+		_ = json.NewEncoder(w).Encode(map[string]any{
+			"results": []map[string]any{
+				{"index": 1, "relevance_score": 0.9},
+				{"index": 0, "relevance_score": 0.2},
+			},
+		})
+	}))
+	defer srv.Close()
+
+	modelName := "qwen3-rerank"
+	resp, err := newEmpirioLabsForTest(srv.URL).Rerank(
+		t.Context(),
+		&modelName,
+		RerankRequest{Query: "query", Documents: []string{"first", "second"}},
+		&APIConfig{ApiKey: &testAPIKey},
+		&RerankConfig{},
+		&common.ModelUsage{},
+	)
+	if err != nil {
+		t.Fatalf("Rerank: %v", err)
+	}
+	if len(resp.Data) != 2 || resp.Data[0].Index != 1 || resp.Data[0].RelevanceScore != 0.9 {
+		t.Fatalf("results=%#v", resp.Data)
+	}
+}
+
+// TestEmpirioLabsListModelsAndCheckConnection tests model listing and connectivity check.
+func TestEmpirioLabsListModelsAndCheckConnection(t *testing.T) {
+	withSSRFBypass(t)
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if r.Method != http.MethodGet || r.URL.Path != "/models" {
+			t.Errorf("%s %s", r.Method, r.URL.Path)
+		}
+		_ = json.NewEncoder(w).Encode(map[string]any{
+			"data": []map[string]any{
+				{"id": "qwen3-8-flash"},
+				{"id": "text-embedding-v4"},
+			},
+		})
+	}))
+	defer srv.Close()
+
+	model := newEmpirioLabsForTest(srv.URL)
+	list, err := model.ListModels(t.Context(), &APIConfig{ApiKey: &testAPIKey})
+	if err != nil {
+		t.Fatalf("ListModels: %v", err)
+	}
+	if joinModelNames(list, ",") != "qwen3-8-flash,text-embedding-v4" {
+		t.Errorf("models=%v", list)
+	}
+	if err := model.CheckConnection(t.Context(), &APIConfig{ApiKey: &testAPIKey}); err != nil {
+		t.Fatalf("CheckConnection: %v", err)
+	}
+}

internal/entity/models/factory.go

@@ -188,6 +188,8 @@ func (f *ModelFactory) CreateModelDriver(providerName string, baseURL map[string
 		return NewApiRouteModel(baseURL, urlSuffix), nil
 	case "opper":
 		return NewOpperModel(baseURL, urlSuffix), nil
+	case "empiriolabs ai":
+		return NewEmpirioLabsModel(baseURL, urlSuffix), nil
 	default:
 		return NewDummyModel(baseURL, urlSuffix), nil
 	}

web/src/assets/svg/llm/empiriolabs.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="48" height="48" viewBox="0 0 96 96">
+  <image 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truncated
+</svg>

web/src/components/svg-icon.tsx

@@ -119,6 +119,7 @@ const svgIcons = [
   LLMFactory.CheaperInference,
   LLMFactory.Opper,
   LLMFactory.TrustedRouter,
+  LLMFactory.EmpirioLabs,
 ];
 
 export const LlmIcon = ({

web/src/constants/llm.ts

@@ -113,6 +113,7 @@ export enum LLMFactory {
   Opper = 'Opper',
   DemonRoute = 'Demon Route',
   TrustedRouter = 'TrustedRouter',
+  EmpirioLabs = 'EmpirioLabs AI',
 }
 
 // Please lowercase the file name
@@ -208,6 +209,7 @@ export const IconMap = {
   [LLMFactory.CheaperInference]: 'cheaperinference',
   [LLMFactory.Opper]: 'opper',
   [LLMFactory.TrustedRouter]: 'trustedrouter',
+  [LLMFactory.EmpirioLabs]: 'empiriolabs',
 };
 
 export const ModelTypeToField: Record<string, string> = {
@@ -238,6 +240,8 @@ export const APIMapUrl = {
   [LLMFactory.CheaperInference]: 'https://cheaperinference.com',
   [LLMFactory.Opper]: 'https://platform.opper.ai',
   [LLMFactory.TrustedRouter]: 'https://trustedrouter.com/keys',
+  [LLMFactory.EmpirioLabs]:
+    'https://platform.empiriolabs.ai/dashboard/api-keys',
   [LLMFactory.MWS]:
     'https://mws.ru/docs/cloud-platform/gpt/general/inference-text.html',
   [LLMFactory.Anthropic]: 'https://console.anthropic.com/settings/keys',