feat: add Runcrate as a model provider (#21446)

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Nirupam Bhowmick authored and GitHub committed 2026-10-26 12:12:33 +08:00
1 parent 54868552fc
commit 396525c7e0
9 files changed
+354

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+8
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@@ -3524,6 +3524,14 @@
"llm": [],
"url": "https://api.empiriolabs.ai/v1"
},
{
"name": "Runcrate",
"logo": "",
"tags": "LLM,TEXT EMBEDDING,IMAGE2TEXT",
"status": "1",
"llm": [],
"url": "https://api.runcrate.ai/v1"
},
{
"name": "StepFun",
"logo": "",
+1
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@@ -193,6 +193,7 @@ The following providers are **aggregators** — they host models from multiple u
| **PPIO** | Edge AI platform |
| **Qiniu** | Chinese cloud platform |
| **Replicate** | Open-source model hosting |
| **Runcrate** | GPU cloud with an OpenAI-compatible inference API for open models |
| **SiliconFlow** | Chinese aggregator |
| **TogetherAI** | Open-source model hosting |
| **TokenHub** | Multi-provider aggregator |
+114
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@@ -0,0 +1,114 @@
{
"name": "Runcrate",
"url": {
"default": "https://api.runcrate.ai/v1"
},
"url_suffix": {
"chat": "chat/completions",
"models": "models",
"embedding": "embeddings"
},
"class": "runcrate",
"models": [
{
"name": "deepseek-ai/DeepSeek-V4.1-Flash",
"context_length": 1048576,
"model_types": [
"chat",
"vision"
],
"tools": {
"support": true
}
},
{
"name": "deepseek-ai/DeepSeek-V4.1-Flash-1017",
"context_length": 1048576,
"model_types": [
"chat",
"vision"
],
"tools": {
"support": true
}
},
{
"name": "zai-org/GLM-5.3",
"context_length": 1048576,
"model_types": [
"chat"
],
"tools": {
"support": true
}
},
{
"name": "zai-org/GLM-5.3-Flash",
"context_length": 1048576,
"model_types": [
"chat",
"vision"
],
"tools": {
"support": true
}
},
{
"name": "Qwen/Qwen3.8-Flash",
"context_length": 1000000,
"model_types": [
"chat"
],
"tools": {
"support": true
}
},
{
"name": "openai/gpt-oss-120b",
"context_length": 131072,
"model_types": [
"chat"
],
"tools": {
"support": true
}
},
{
"name": "moonshotai/Kimi-K2.6",
"context_length": 262144,
"max_output": 16384,
"model_types": [
"chat",
"vision"
],
"tools": {
"support": true
}
},
{
"name": "Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo",
"context_length": 262144,
"max_output": 65536,
"model_types": [
"chat"
],
"tools": {
"support": true
}
},
{
"name": "Qwen/Qwen3-Embedding-8B",
"max_tokens": 32768,
"model_types": [
"embedding"
]
},
{
"name": "BAAI/bge-m3",
"max_tokens": 8192,
"model_types": [
"embedding"
]
}
]
}
+2
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@@ -199,6 +199,8 @@ func (f *ModelFactory) CreateModelDriver(providerName string, baseURL map[string
return NewOpperModel(baseURL, urlSuffix), nil
case "empiriolabs ai":
return NewEmpirioLabsModel(baseURL, urlSuffix), nil
case "runcrate":
return NewRuncrateModel(baseURL, urlSuffix), nil
case "new api":
return NewNewAPIModel(baseURL, urlSuffix), nil
default:
+42
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@@ -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
// RuncrateModel drives Runcrate (https://api.runcrate.ai/v1), a GPU cloud
// whose inference API serves open models through OpenAI-compatible chat,
// embedding and model-list endpoints, so the embedded
// OpenAIAPICompatibleModel covers every call.
type RuncrateModel struct {
*OpenAIAPICompatibleModel
}
// NewRuncrateModel creates a Runcrate driver.
func NewRuncrateModel(baseURL map[string]string, urlSuffix URLSuffix) *RuncrateModel {
return &RuncrateModel{
OpenAIAPICompatibleModel: NewOpenAIAPICompatibleModel(baseURL, urlSuffix),
}
}
// Name returns the driver name.
func (m *RuncrateModel) Name() string {
return "runcrate"
}
// NewInstance returns a driver bound to the given base URL.
func (m *RuncrateModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewRuncrateModel(baseURL, m.baseModel.URLSuffix)
}
+181
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@@ -0,0 +1,181 @@
//
// 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"
)
// newRuncrateForTest creates a RuncrateModel instance for testing.
func newRuncrateForTest(baseURL string) *RuncrateModel {
return NewRuncrateModel(
map[string]string{"default": baseURL},
URLSuffix{Chat: "chat/completions", Models: "models", Embedding: "embeddings"},
)
}
// TestRuncrateName tests the driver name.
func TestRuncrateName(t *testing.T) {
if got := newRuncrateForTest("http://unused").Name(); got != "runcrate" {
t.Errorf("Name()=%q", got)
}
}
// TestRuncrateFactory tests creating the driver from factory.
func TestRuncrateFactory(t *testing.T) {
driver, err := NewModelFactory().CreateModelDriver("runcrate", map[string]string{"default": "http://unused"}, URLSuffix{})
if err != nil {
t.Fatalf("CreateModelDriver: %v", err)
}
if _, ok := driver.(*RuncrateModel); !ok {
t.Fatalf("driver type=%T, want *RuncrateModel", driver)
}
if _, ok := driver.NewInstance(map[string]string{"default": "http://other"}).(*RuncrateModel); !ok {
t.Fatal("NewInstance did not return *RuncrateModel")
}
}
// The shipped config must resolve to the Runcrate driver. CreateModelDriver
// dispatches on strings.ToLower(name), so the "Runcrate" provider name has
// to match the "runcrate" case; anything else silently falls through to
// DummyModel.
func TestRuncrateProviderConfig(t *testing.T) {
dir, restore := setupProviderTestDir(t, "runcrate.json")
defer restore()
if err := InitProviderManager(dir); err != nil {
t.Fatalf("InitProviderManager: %v", err)
}
provider := GetProviderManager().FindProvider("Runcrate")
if provider == nil {
t.Fatal("Runcrate provider not found")
}
if _, ok := provider.ModelDriver.(*RuncrateModel); !ok {
t.Fatalf("ModelDriver=%T, want *models.RuncrateModel", provider.ModelDriver)
}
}
// TestRuncrateChatSendsAPIKey tests chat completion authentication and that
// the organization-prefixed model id reaches the API unchanged.
func TestRuncrateChatSendsAPIKey(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)
}
var body struct {
Model string `json:"model"`
}
if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
t.Errorf("decode request: %v", err)
}
if body.Model != "deepseek-ai/DeepSeek-V4.1-Flash" {
t.Errorf("model=%q", body.Model)
}
_ = json.NewEncoder(w).Encode(map[string]any{
"id": "chat-runcrate",
"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 := newRuncrateForTest(srv.URL).ChatWithMessages(
t.Context(),
"deepseek-ai/DeepSeek-V4.1-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)
}
// TestRuncrateEmbed tests embedding requests.
func TestRuncrateEmbed(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 := "Qwen/Qwen3-Embedding-8B"
embeddings, err := newRuncrateForTest(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)
}
}
// TestRuncrateListModelsAndCheckConnection tests model listing and connectivity check.
func TestRuncrateListModelsAndCheckConnection(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": "deepseek-ai/DeepSeek-V4.1-Flash"},
{"id": "Qwen/Qwen3-Embedding-8B"},
},
})
}))
defer srv.Close()
model := newRuncrateForTest(srv.URL)
list, err := model.ListModels(t.Context(), &APIConfig{ApiKey: &testAPIKey})
if err != nil {
t.Fatalf("ListModels: %v", err)
}
if joinModelNames(list, ",") != "deepseek-ai/DeepSeek-V4.1-Flash,Qwen/Qwen3-Embedding-8B" {
t.Errorf("models=%v", list)
}
if err := model.CheckConnection(t.Context(), &APIConfig{ApiKey: &testAPIKey}); err != nil {
t.Fatalf("CheckConnection: %v", err)
}
}
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@@ -0,0 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" width="48" height="48" viewBox="0 0 24 24"><rect x="1" y="1" width="22" height="22" rx="6" fill="#1A2B78"/><path d="M5.793 9.207A1 1 0 0 1 7.207 7.793L11.414 12 7.207 16.207A1 1 0 0 1 5.793 14.793L8.586 12ZM13 14.5h4.5a1 1 0 0 1 0 2H13a1 1 0 0 1 0-2Z" fill="#5F84FF"/></svg>

After

Width:  |  Height:  |  Size: 315 B

+1
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@@ -121,6 +121,7 @@ const svgIcons = [
LLMFactory.TrustedRouter,
LLMFactory.EmpirioLabs,
LLMFactory.AIStupidLevel,
LLMFactory.Runcrate,
];
export const LlmIcon = ({
+4
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@@ -116,6 +116,7 @@ export enum LLMFactory {
TrustedRouter = 'TrustedRouter',
EmpirioLabs = 'EmpirioLabs AI',
AIStupidLevel = 'AI Stupid Level',
Runcrate = 'Runcrate',
}
// Please lowercase the file name
@@ -214,6 +215,7 @@ export const IconMap = {
[LLMFactory.TrustedRouter]: 'trustedrouter',
[LLMFactory.EmpirioLabs]: 'empiriolabs',
[LLMFactory.AIStupidLevel]: 'aistupidlevel',
[LLMFactory.Runcrate]: 'runcrate',
};
/**
@@ -264,6 +266,8 @@ export const APIMapUrl = {
[LLMFactory.EmpirioLabs]:
'https://platform.empiriolabs.ai/dashboard/api-keys',
[LLMFactory.AIStupidLevel]: 'https://aistupidlevel.info/router/keys',
[LLMFactory.Runcrate]:
'https://www.runcrate.ai/dashboard/api-keys?utm_source=ragflow&utm_medium=directory&utm_campaign=gpu_pricing',
[LLMFactory.MWS]:
'https://mws.ru/docs/cloud-platform/gpt/general/inference-text.html',
[LLMFactory.Anthropic]: 'https://console.anthropic.com/settings/keys',