Files
ragflow/internal/entity/models/xinference.go
jay77721 d357eea8ef feat(go-models): migrate batch 5 model drivers to unified handlers (#17700)
## Summary

Relate to #17284. Completes the batch 5 migration of 7 OpenAI-compatible
drivers (`vllm`, `volcengine`, `xai`, `xiaomi`, `xinference`, `xunfei`,
`zhipu-ai`) onto the unified request/response helpers
(`doRequest`/`doStreamRequest` +
`HandleNonStreamingResponse`/`HandleStreamingResponse` +
`ParserConfig`), established by `deepseek` in #17634.

This branch is rebased on the current `pr/migrate-models-batch5` and
fixes the issues in the previous state of the PR.

Co-authored-by: Haruko386 <tryeverypossible@163.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-08-03 20:19:22 +08:00

593 lines
18 KiB
Go

//
// 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"
"mime/multipart"
"net/http"
"os"
"path/filepath"
"ragflow/internal/common"
"strconv"
"strings"
)
// XinferenceModel implements ModelDriver for Xinference chat models.
type XinferenceModel struct {
baseModel BaseModel
}
type xinferenceModelListResponse struct {
Data []ModelListItem `json:"data"`
}
// NewXinferenceModel creates a new Xinference model instance.
func NewXinferenceModel(baseURL map[string]string, urlSuffix URLSuffix) *XinferenceModel {
return &XinferenceModel{
baseModel: BaseModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
AllowEmptyAPIKey: true,
httpClient: NewDriverHTTPClient(true),
},
}
}
func (x *XinferenceModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewXinferenceModel(baseURL, x.baseModel.URLSuffix)
}
func (x *XinferenceModel) Name() string {
return "Xinference"
}
func normalizeXinferenceBaseURL(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
}
// ChatWithMessages sends multiple messages with roles and returns the response.
func (x *XinferenceModel) ChatWithMessages(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage) (*ChatResponse, error) {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
if len(messages) == 0 {
return nil, fmt.Errorf("messages is empty")
}
baseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
baseURL = normalizeXinferenceBaseURL(baseURL)
url := fmt.Sprintf("%s/%s", baseURL, x.baseModel.URLSuffix.Chat)
reqBody := buildRequestBody(chatModelConfig, modelName, messages, false)
body, err := x.baseModel.doRequest(ctx, url, apiConfig, reqBody, nonStreamCallTimeout)
if err != nil {
return nil, err
}
return HandleNonStreamingResponse(body, modelUsage, chatModelConfig, OpenAIParserConfig)
}
// ChatStreamlyWithSender sends messages and streams response via sender.
func (x *XinferenceModel) ChatStreamlyWithSender(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return err
}
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 := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return err
}
baseURL = normalizeXinferenceBaseURL(baseURL)
url := fmt.Sprintf("%s/%s", baseURL, x.baseModel.URLSuffix.Chat)
reqBody := buildRequestBody(chatModelConfig, modelName, messages, true)
reqBody["stream_options"] = map[string]interface{}{
"include_usage": true,
}
return x.baseModel.doStreamRequest(ctx, url, apiConfig, reqBody, streamCallTimeout, func(body io.ReadCloser) error {
return HandleStreamingResponse(body, modelUsage, chatModelConfig, OpenAIParserConfig, sender)
})
}
// Index is *int so a missing JSON field is distinguishable from index 0.
type xinferenceEmbeddingResponse struct {
Data []struct {
Index *int `json:"index"`
Embedding []float64 `json:"embedding"`
} `json:"data"`
}
// Embed POSTs the input texts to the tenant's Xinference
func (x *XinferenceModel) Embed(ctx context.Context, modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig, modelUsage *common.ModelUsage) ([]EmbeddingData, error) {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
if len(texts) == 0 {
return []EmbeddingData{}, nil
}
if modelName == nil || *modelName == "" {
return nil, fmt.Errorf("model name is required")
}
baseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
baseURL = normalizeXinferenceBaseURL(baseURL)
if x.baseModel.URLSuffix.Embedding == "" {
return nil, fmt.Errorf("xinference: no embedding URL suffix configured")
}
url := fmt.Sprintf("%s/%s", baseURL, x.baseModel.URLSuffix.Embedding)
reqBody := map[string]interface{}{
"model": *modelName,
"input": texts,
}
if embeddingConfig != nil && embeddingConfig.Dimension > 0 {
reqBody["dimensions"] = embeddingConfig.Dimension
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
ctx, cancel := context.WithTimeout(ctx, 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)
}
resp, err := x.baseModel.httpClient.Do(req)
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("Xinference embeddings API error: %s, body: %s", resp.Status, string(body))
}
var parsed xinferenceEmbeddingResponse
if err = json.Unmarshal(body, &parsed); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
embeddings := make([]EmbeddingData, len(texts))
seen := make([]bool, len(texts))
for _, d := range parsed.Data {
if d.Index == nil {
return nil, fmt.Errorf("xinference: missing embedding index in response item")
}
idx := *d.Index
if idx < 0 || idx >= len(texts) {
return nil, fmt.Errorf("xinference: embedding index %d out of range for %d inputs", idx, len(texts))
}
if len(d.Embedding) == 0 {
return nil, fmt.Errorf("xinference: missing embedding vector for response item at index %d", idx)
}
if seen[idx] {
return nil, fmt.Errorf("xinference: duplicate embedding index %d", idx)
}
embeddings[idx] = EmbeddingData{Embedding: d.Embedding, Index: idx}
seen[idx] = true
}
for i, ok := range seen {
if !ok {
return nil, fmt.Errorf("xinference: missing embedding for input at index %d", i)
}
}
return embeddings, nil
}
type xinferenceRerankResult struct {
Index int `json:"index"`
RelevanceScore float64 `json:"relevance_score"`
}
type xinferenceRerankResponse struct {
Results []xinferenceRerankResult `json:"results"`
}
// Rerank scores documents against the query using the Xinference
// /v1/rerank endpoint and returns one RerankResult per scored document
// in the API's ranking order. Caller may sort by Index to recover
// original input order. Xinference rerank models are launched with
// --model-type rerank and exposed under the OpenAI-compatible base URL.
func (x *XinferenceModel) Rerank(ctx context.Context, modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig, modelUsage *common.ModelUsage) (*RerankResponse, error) {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
if len(documents) == 0 {
return &RerankResponse{}, nil
}
if modelName == nil || *modelName == "" {
return nil, fmt.Errorf("model name is required")
}
baseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
baseURL = normalizeXinferenceBaseURL(baseURL)
if x.baseModel.URLSuffix.Rerank == "" {
return nil, fmt.Errorf("xinference: no rerank URL suffix configured")
}
url := fmt.Sprintf("%s/%s", baseURL, x.baseModel.URLSuffix.Rerank)
topN := len(documents)
if rerankConfig != nil && rerankConfig.TopN > 0 && rerankConfig.TopN < topN {
topN = rerankConfig.TopN
}
reqBody := map[string]interface{}{
"model": *modelName,
"query": query,
"documents": documents,
"top_n": topN,
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
ctx, cancel := context.WithTimeout(ctx, nonStreamCallTimeout)
defer cancel()
req, err := http.NewRequestWithContext(ctx, http.MethodPost, 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)
}
resp, err := x.baseModel.httpClient.Do(req)
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("Xinference rerank API error: %s, body: %s", resp.Status, string(body))
}
var parsed xinferenceRerankResponse
if err = json.Unmarshal(body, &parsed); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
rerankResponse := RerankResponse{Data: make([]RerankResult, 0, len(parsed.Results))}
seen := make([]bool, len(documents))
for _, item := range parsed.Results {
if item.Index < 0 || item.Index >= len(documents) {
return nil, fmt.Errorf("xinference: rerank index %d out of range for %d inputs", item.Index, len(documents))
}
if seen[item.Index] {
return nil, fmt.Errorf("xinference: duplicate rerank index %d in response", item.Index)
}
rerankResponse.Data = append(rerankResponse.Data, RerankResult{
Index: item.Index,
RelevanceScore: item.RelevanceScore,
})
seen[item.Index] = true
}
return &rerankResponse, nil
}
func (x *XinferenceModel) TranscribeAudio(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage) (*ASRResponse, error) {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
if file == nil || *file == "" {
return nil, fmt.Errorf("file is missing")
}
resolvedBaseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, x.baseModel.URLSuffix.ASR)
var body bytes.Buffer
writer := multipart.NewWriter(&body)
// audio file
// codeql[go/path-injection] False positive: *file is the audio file path the caller passes in to upload. The user (or operator-supplied pipeline) explicitly chose this path, and the OS access check enforces permissions anyway.
audioFile, err := os.Open(*file)
if err != nil {
return nil, fmt.Errorf("failed to open audio file: %w", err)
}
defer audioFile.Close()
part, err := writer.CreateFormFile("file", filepath.Base(*file))
if err != nil {
return nil, fmt.Errorf("failed to create multipart file: %w", err)
}
if _, err = io.Copy(part, audioFile); err != nil {
return nil, fmt.Errorf("failed to copy audio data: %w", err)
}
if err = writer.WriteField("model", *modelName); err != nil {
return nil, fmt.Errorf("failed to write model name: %w", err)
}
// extra params
if asrConfig != nil && asrConfig.Params != nil {
for key, value := range asrConfig.Params {
var val string
switch v := value.(type) {
case string:
val = v
case bool:
val = strconv.FormatBool(v)
case int:
val = strconv.Itoa(v)
case float64:
val = strconv.FormatFloat(v, 'f', -1, 64)
default:
val = fmt.Sprintf("%v", v)
}
if err := writer.WriteField(key, val); err != nil {
return nil, fmt.Errorf("failed to write field %s: %w", key, err)
}
}
}
if err := writer.Close(); err != nil {
return nil, fmt.Errorf("failed to close multipart writer: %w", err)
}
// request
req, err := http.NewRequest("POST", url, &body)
if err != nil {
return nil, fmt.Errorf("failed to create request: %w", err)
}
if auth := BearerAuth(apiConfig); auth != "" {
req.Header.Set("Authorization", auth)
}
req.Header.Set("Content-Type", writer.FormDataContentType())
resp, err := x.baseModel.httpClient.Do(req)
if err != nil {
return nil, fmt.Errorf("failed to send request: %w", err)
}
defer resp.Body.Close()
respBody, err := io.ReadAll(resp.Body)
if err != nil {
return nil, fmt.Errorf("failed to read response body: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("FishAudio ASR error: %s - %s", resp.Status, string(respBody))
}
// result
var result struct {
Text string `json:"text"`
}
if err := json.Unmarshal(respBody, &result); err != nil {
return nil, fmt.Errorf("failed to unmarshal response: %w", err)
}
return &ASRResponse{
Text: result.Text,
}, nil
}
func (x *XinferenceModel) TranscribeAudioWithSender(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", x.Name())
}
func (x *XinferenceModel) AudioSpeech(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage) (*TTSResponse, error) {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
if audioContent == nil || *audioContent == "" {
return nil, fmt.Errorf("text content is missing")
}
resolvedBaseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, x.baseModel.URLSuffix.TTS)
reqBody := map[string]interface{}{
"model": *modelName,
"input": *audioContent,
}
if ttsConfig != nil && ttsConfig.Params != nil {
for key, value := range ttsConfig.Params {
reqBody[key] = value
}
}
if ttsConfig != nil && ttsConfig.Format != "" {
reqBody["format"] = ttsConfig.Format
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return nil, fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequest("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)
}
resp, err := x.baseModel.httpClient.Do(req)
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 body: %w", err)
}
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("%s - %s", resp.Status, string(body))
}
return &TTSResponse{Audio: body}, nil
}
func (x *XinferenceModel) AudioSpeechWithSender(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", x.Name())
}
func (x *XinferenceModel) OCRFile(ctx context.Context, modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig, modelUsage *common.ModelUsage) (*OCRFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XinferenceModel) ParseFile(ctx context.Context, modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig, modelUsage *common.ModelUsage) (*ParseFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
// ListModels returns the model IDs exposed by Xinference's OpenAI-compatible
// /v1/models endpoint.
func (x *XinferenceModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) {
if err := x.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
baseURL, err := x.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
baseURL = normalizeXinferenceBaseURL(baseURL)
url := fmt.Sprintf("%s/%s", baseURL, x.baseModel.URLSuffix.Models)
ctx, cancel := context.WithTimeout(ctx, 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 := x.baseModel.httpClient.Do(req)
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 xinferenceModelListResponse
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
}
func (x *XinferenceModel) Balance(ctx context.Context, apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XinferenceModel) CheckConnection(ctx context.Context, apiConfig *APIConfig) error {
_, err := x.ListModels(ctx, apiConfig)
return err
}
func (x *XinferenceModel) ListTasks(ctx context.Context, apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}
func (x *XinferenceModel) ShowTask(ctx context.Context, taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", x.Name())
}