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Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
//
// 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 (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"sync"
"time"
)
// modelscopeStreamIdleTimeout bounds how long a stream can go without
var modelscopeStreamIdleTimeout = 60 * time.Second
// ModelScopeModel implements ModelDriver for ModelScope chat models.
type ModelScopeModel struct {
baseModel BaseModel
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
}
type modelscopeChatChoice struct {
Message struct {
Content string `json:"content"`
ReasoningContent string `json:"reasoning_content"`
Reasoning string `json:"reasoning"`
Thinking string `json:"thinking"`
} `json:"message"`
}
type modelscopeChatResponse struct {
Choices []modelscopeChatChoice `json:"choices"`
}
type modelscopeModelListResponse struct {
Data []DSModel `json:"data"`
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
}
// NewModelScopeModel creates a new ModelScope model instance.
func NewModelScopeModel(baseURL map[string]string, urlSuffix URLSuffix) *ModelScopeModel {
return &ModelScopeModel{
baseModel: BaseModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
AllowEmptyAPIKey: true,
httpClient: NewDriverHTTPClient(),
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
},
}
}
func (m *ModelScopeModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewModelScopeModel(baseURL, m.baseModel.URLSuffix)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
}
func (m *ModelScopeModel) Name() string {
return "modelscope"
}
func normalizeModelScopeBaseURL(base string) string {
trimmed := strings.TrimRight(strings.TrimSpace(base), "/")
if trimmed == "" {
return trimmed
}
if strings.HasSuffix(trimmed, "/v1") {
return strings.TrimSuffix(trimmed, "/v1")
}
return trimmed
}
func modelscopeReasoningFromStrings(reasoningContent string, reasoning string, thinking string) string {
switch {
case reasoningContent != "":
return reasoningContent
case reasoning != "":
return reasoning
case thinking != "":
return thinking
default:
return ""
}
}
func modelscopeReasoningFromMap(value map[string]interface{}) string {
for _, field := range []string{"reasoning_content", "reasoning", "thinking"} {
if text, ok := value[field].(string); ok && text != "" {
return text
}
}
return ""
}
func buildModelScopeChatBody(modelName string, messages []Message, stream bool, chatModelConfig *ChatConfig) map[string]interface{} {
apiMessages := make([]map[string]interface{}, len(messages))
for i, msg := range messages {
apiMessages[i] = map[string]interface{}{
"role": msg.Role,
"content": msg.Content,
}
}
reqBody := map[string]interface{}{
"model": modelName,
"messages": apiMessages,
"stream": stream,
}
if chatModelConfig != nil {
if chatModelConfig.MaxTokens != nil {
reqBody["max_tokens"] = *chatModelConfig.MaxTokens
}
if chatModelConfig.Temperature != nil {
reqBody["temperature"] = *chatModelConfig.Temperature
}
if chatModelConfig.TopP != nil {
reqBody["top_p"] = *chatModelConfig.TopP
}
if chatModelConfig.Stop != nil {
reqBody["stop"] = *chatModelConfig.Stop
}
}
return reqBody
}
// ChatWithMessages sends multiple messages with roles and returns the response.
func (m *ModelScopeModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
if err := m.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if len(messages) == 0 {
return nil, fmt.Errorf("messages is empty")
}
baseURL, err := m.baseModel.GetBaseURL(apiConfig)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if err != nil {
return nil, err
}
baseURL = normalizeModelScopeBaseURL(baseURL)
url := fmt.Sprintf("%s/%s", baseURL, m.baseModel.URLSuffix.Chat)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
reqBody := buildModelScopeChatBody(modelName, messages, false, chatModelConfig)
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
defer cancel()
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
if auth := BearerAuth(apiConfig); auth != "" {
req.Header.Set("Authorization", auth)
}
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
resp, err := m.baseModel.httpClient.Do(req)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
}
var result modelscopeChatResponse
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
if len(result.Choices) == 0 {
return nil, fmt.Errorf("no choices in response")
}
content := result.Choices[0].Message.Content
reasonContent := modelscopeReasoningFromStrings(
result.Choices[0].Message.ReasoningContent,
result.Choices[0].Message.Reasoning,
result.Choices[0].Message.Thinking,
)
return &ChatResponse{
Answer: &content,
ReasonContent: &reasonContent,
}, nil
}
// ChatStreamlyWithSender sends messages and streams response via sender.
func (m *ModelScopeModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, sender func(*string, *string) error) error {
if err := m.baseModel.APIConfigCheck(apiConfig); err != nil {
return err
}
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if sender == nil {
return fmt.Errorf("sender is required")
}
if len(messages) == 0 {
return fmt.Errorf("messages is empty")
}
if chatModelConfig != nil && chatModelConfig.Stream != nil && !*chatModelConfig.Stream {
return fmt.Errorf("stream must be true in ChatStreamlyWithSender")
}
baseURL, err := m.baseModel.GetBaseURL(apiConfig)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if err != nil {
return err
}
baseURL = normalizeModelScopeBaseURL(baseURL)
url := fmt.Sprintf("%s/%s", baseURL, m.baseModel.URLSuffix.Chat)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
reqBody := buildModelScopeChatBody(modelName, messages, true, chatModelConfig)
jsonData, err := json.Marshal(reqBody)
if err != nil {
return fmt.Errorf("failed to marshal request: %w", err)
}
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
if auth := BearerAuth(apiConfig); auth != "" {
req.Header.Set("Authorization", auth)
}
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
resp, err := m.baseModel.httpClient.Do(req)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if err != nil {
return fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
}
lastActive := time.Now()
var lastActiveMu sync.Mutex
done := make(chan struct{})
defer close(done)
go func() {
ticker := time.NewTicker(modelscopeStreamIdleTimeout / 4)
defer ticker.Stop()
for {
select {
case <-done:
return
case now := <-ticker.C:
lastActiveMu.Lock()
idle := now.Sub(lastActive)
lastActiveMu.Unlock()
if idle >= modelscopeStreamIdleTimeout {
cancel()
return
}
}
}
}()
sawTerminal := false
streamDone, err := ParseSSEStream[map[string]interface{}](resp.Body, func(event map[string]interface{}) error {
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
lastActiveMu.Lock()
lastActive = time.Now()
lastActiveMu.Unlock()
choices, ok := event["choices"].([]interface{})
if !ok || len(choices) == 0 {
return nil
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
}
firstChoice, ok := choices[0].(map[string]interface{})
if !ok {
return nil
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
}
if delta, ok := firstChoice["delta"].(map[string]interface{}); ok {
if reasoning := modelscopeReasoningFromMap(delta); reasoning != "" {
if err := sender(nil, &reasoning); err != nil {
return err
}
}
if content, ok := delta["content"].(string); ok && content != "" {
if err := sender(&content, nil); err != nil {
return err
}
}
}
if finishReason, ok := firstChoice["finish_reason"].(string); ok && finishReason != "" {
sawTerminal = true
}
return nil
})
if err != nil {
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if ctx.Err() != nil {
return fmt.Errorf("modelscope: stream idle for more than %s, aborted", modelscopeStreamIdleTimeout)
}
return fmt.Errorf("failed to scan response body: %w", err)
}
if !streamDone && !sawTerminal {
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
return fmt.Errorf("modelscope: stream ended before [DONE] or finish_reason")
}
endOfStream := "[DONE]"
return sender(&endOfStream, nil)
}
func (m *ModelScopeModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, asrConfig *TTSConfig) (*TTSResponse, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}
// ListModels returns the model IDs exposed by ModelScope's OpenAI-compatible
// /v1/models endpoint.
func (m *ModelScopeModel) ListModels(apiConfig *APIConfig) ([]ListModelResponse, error) {
if err := m.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
baseURL, err := m.baseModel.GetBaseURL(apiConfig)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if err != nil {
return nil, err
}
baseURL = normalizeModelScopeBaseURL(baseURL)
url := fmt.Sprintf("%s/%s", baseURL, m.baseModel.URLSuffix.Models)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
defer cancel()
req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
if auth := BearerAuth(apiConfig); auth != "" {
req.Header.Set("Authorization", auth)
}
resp, err := m.baseModel.httpClient.Do(req)
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
}
var result modelscopeModelListResponse
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
return ParseListModel(ModelList{Models: result.Data}), nil
Go: implement provider: ModelScope (#15041) Closes #15040. ModelScope was listed unchecked in the Go-rewrite tracker #14736 and already had an llm_factories.json entry (tags: LLM) but no Go driver, so the new Go API server could not route ModelScope instances. The Python side has supported it through the OpenAI-compatible base at rag/llm/chat_model.py:618 (ModelScopeChat), which requires a user-supplied base URL and appends /v1. This adds: - internal/entity/models/modelscope.go: self-hosted OpenAI-compatible driver with chat (sync + SSE stream with idle-timeout cancellation), list_models, and check_connection. Auth header is optional, matching the xinference pattern, so deployments without auth and auth-enabled deployments both work. Base URL is normalized so users can configure either the root endpoint or the /v1 endpoint. - internal/entity/models/modelscope_test.go: 12 tests covering name, URL normalization, factory routing, chat happy path / auth header / reasoning_content extraction, stream happy path / stream=false rejection / idle cancellation, list_models + check_connection, missing-base-URL clear error, and the no-such-method sentinels. - conf/models/modelscope.json: shipped config (class: "local", url_suffix v1/chat/completions and v1/models). - internal/entity/models/factory.go: case "modelscope" → ModelScopeModel. - internal/service/llm.go: ModelScope added to the selfDeployed map alongside Ollama, Xinference, LocalAI, LM-Studio, GPUStack — the Python side requires user-supplied URL with no default, so the Go side classifies it the same way. Follow-on issues will add Embed and Rerank, in line with how Novita, NVIDIA, TogetherAI, and other providers landed method-by-method. --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-26 19:18:46 +09:00
}
func (m *ModelScopeModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) CheckConnection(apiConfig *APIConfig) error {
_, err := m.ListModels(apiConfig)
return err
}
func (m *ModelScopeModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}
func (m *ModelScopeModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", m.Name())
}