Files
ragflow/internal/entity/models/vllm.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

468 lines
15 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"
"net/http"
"ragflow/internal/common"
"strings"
)
// VllmModel implements ModelDriver for Vllm AI
type VllmModel struct {
baseModel BaseModel
}
// NewVllmModel creates a new Vllm AI model instance
func NewVllmModel(baseURL map[string]string, urlSuffix URLSuffix) *VllmModel {
return &VllmModel{
baseModel: BaseModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
AllowEmptyAPIKey: true,
httpClient: NewDriverHTTPClient(true),
},
}
}
func (v *VllmModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewVllmModel(baseURL, v.baseModel.URLSuffix)
}
func (v *VllmModel) Name() string {
return "VLLM"
}
// ChatWithMessages sends multiple messages with roles and returns response
func (v *VllmModel) ChatWithMessages(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, modelUsage *common.ModelUsage) (*ChatResponse, error) {
if err := v.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
if len(messages) == 0 {
return nil, fmt.Errorf("messages is empty")
}
resolvedBaseURL, err := v.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, v.baseModel.URLSuffix.Chat)
// For qwen/glm models, use async chat endpoint
modelType := strings.Split(modelName, "-")[0]
if modelType == "qwen" || modelType == "glm" {
url = fmt.Sprintf("%s/%s", resolvedBaseURL, v.baseModel.URLSuffix.AsyncChat)
}
// Build request body
reqBody := buildRequestBody(chatModelConfig, modelName, messages, false)
if chatModelConfig != nil {
if chatModelConfig.Thinking != nil {
if *chatModelConfig.Thinking {
reqBody["thinking"] = map[string]interface{}{
"type": "enabled",
}
} else {
reqBody["thinking"] = map[string]interface{}{
"type": "disabled",
}
}
}
}
body, err := v.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 function (best performance, no channel)
func (v *VllmModel) ChatStreamlyWithSender(ctx context.Context, modelName string, messages []Message, apiConfig *APIConfig, modelConfig *ChatConfig, modelUsage *common.ModelUsage, sender func(*string, *string) error) error {
if err := v.baseModel.APIConfigCheck(apiConfig); err != nil {
return err
}
if len(messages) == 0 {
return fmt.Errorf("messages is empty")
}
resolvedBaseURL, err := v.baseModel.GetBaseURL(apiConfig)
if err != nil {
return err
}
url := fmt.Sprintf("%s/%s", resolvedBaseURL, v.baseModel.URLSuffix.Chat)
modelType := strings.Split(modelName, "-")[0]
if modelType == "qwen" || modelType == "glm" {
url = fmt.Sprintf("%s/%s", resolvedBaseURL, v.baseModel.URLSuffix.AsyncChat)
}
// Build request body with streaming enabled
reqBody := buildRequestBody(modelConfig, modelName, messages, true)
if modelConfig.Thinking != nil {
if *modelConfig.Thinking {
reqBody["thinking"] = map[string]interface{}{
"type": "enabled",
}
} else {
reqBody["thinking"] = map[string]interface{}{
"type": "disabled",
}
}
}
reqBody["stream_options"] = map[string]interface{}{"include_usage": true}
return v.baseModel.doStreamRequest(ctx, url, apiConfig, reqBody, streamCallTimeout, func(body io.ReadCloser) error {
return HandleStreamingResponse(body, modelUsage, modelConfig, OpenAIParserConfig, sender)
})
}
// Encode encodes a list of texts into embeddings
type vllmEmbeddingResponse struct {
Data []struct {
Index int `json:"index"`
Embedding []float64 `json:"embedding"`
} `json:"data"`
}
// Embed embeds a list of texts into embeddings
func (v *VllmModel) Embed(ctx context.Context, modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig, modelUsage *common.ModelUsage) ([]EmbeddingData, error) {
if err := v.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")
}
resolvedBaseURL, err := v.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
baseURL := resolvedBaseURL
if baseURL == "" {
baseURL = resolvedBaseURL
}
if baseURL == "" {
return nil, fmt.Errorf("missing base URL: please configure the local access address for vLLM (e.g., http://127.0.0.1:8000/v1)")
}
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), v.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 := v.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("vLLM embeddings API error: %s, body: %s", resp.Status, string(body))
}
var parsed vllmEmbeddingResponse
if err = json.Unmarshal(body, &parsed); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
var embeddings []EmbeddingData
for _, dataElem := range parsed.Data {
var embeddingData EmbeddingData
embeddingData.Embedding = dataElem.Embedding
embeddingData.Index = dataElem.Index
embeddings = append(embeddings, embeddingData)
}
return embeddings, nil
}
func (v *VllmModel) ListModels(ctx context.Context, apiConfig *APIConfig) ([]ListModelResponse, error) {
if err := v.baseModel.APIConfigCheck(apiConfig); err != nil {
return nil, err
}
resolvedBaseURL, err := v.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
baseURL := resolvedBaseURL
if baseURL == "" {
baseURL = resolvedBaseURL
}
if baseURL == "" {
return nil, fmt.Errorf("missing base URL: please configure the local access address for vLLM (e.g., http://127.0.0.1:8000/v1)")
}
url := fmt.Sprintf("%s/%s", baseURL, v.baseModel.URLSuffix.Models)
reqBody := map[string]interface{}{}
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, "GET", 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 := v.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))
}
// Parse response
// Parse response
var modelList ModelList
if err = json.Unmarshal(body, &modelList); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
if modelList.Models == nil {
return nil, fmt.Errorf("invalid models list format")
}
return ParseListModel(modelList), nil
}
func (v *VllmModel) Balance(ctx context.Context, apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("no such method")
}
// CheckConnection verifies that the configured vLLM base URL is reachable
func (v *VllmModel) CheckConnection(ctx context.Context, apiConfig *APIConfig) error {
_, err := v.ListModels(ctx, apiConfig)
return err
}
// vllmRerankRequest mirrors vLLM's Jina/Cohere-compatible /v1/rerank
// payload. Unlike NVIDIA NIM (which wraps each passage as {text: "..."}),
// vLLM accepts documents as a flat []string.
type vllmRerankRequest struct {
Model string `json:"model"`
Query string `json:"query"`
Documents []string `json:"documents"`
TopN int `json:"top_n"`
}
// vllmRerankResponse maps the Jina-style results array. The `document`
// field is intentionally ignored — callers reconstruct text from the
// original input via Index.
type vllmRerankResponse struct {
Results []struct {
Index int `json:"index"`
RelevanceScore float64 `json:"relevance_score"`
} `json:"results"`
}
// Rerank scores documents against the query using a vLLM rerank model
// served at /v1/rerank (stable since vLLM v0.7). Mirrors the contract
// of NvidiaModel.Rerank: defaults top_n to len(documents) so callers
// get a score per input, shrinks to RerankConfig.TopN only when set
// and smaller. Returned RerankResult entries are in the API's ranking
// order; callers that need original-input order sort by Index. The
// Authorization header is sent only when APIConfig.ApiKey is non-empty,
// matching the existing Embed/ListModels behaviour for this local
// driver.
func (v *VllmModel) Rerank(ctx context.Context, modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig, modelUsage *common.ModelUsage) (*RerankResponse, error) {
if err := v.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")
}
resolvedBaseURL, err := v.baseModel.GetBaseURL(apiConfig)
if err != nil {
return nil, err
}
baseURL := resolvedBaseURL
if baseURL == "" {
baseURL = resolvedBaseURL
}
if baseURL == "" {
return nil, fmt.Errorf("missing base URL: please configure the local access address for vLLM (e.g., http://127.0.0.1:8000/v1)")
}
url := fmt.Sprintf("%s/%s", strings.TrimSuffix(baseURL, "/"), v.baseModel.URLSuffix.Rerank)
topN := len(documents)
if rerankConfig != nil && rerankConfig.TopN > 0 && rerankConfig.TopN < topN {
topN = rerankConfig.TopN
}
reqBody := vllmRerankRequest{
Model: *modelName,
Query: query,
Documents: documents,
TopN: 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, "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 := v.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("vLLM rerank API error: %s, body: %s", resp.Status, string(body))
}
var parsed vllmRerankResponse
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))}
for _, r := range parsed.Results {
if r.Index < 0 || r.Index >= len(documents) {
return nil, fmt.Errorf("unexpected rerank index %d for %d inputs", r.Index, len(documents))
}
rerankResponse.Data = append(rerankResponse.Data, RerankResult{
Index: r.Index,
RelevanceScore: r.RelevanceScore,
})
}
return &rerankResponse, nil
}
// TranscribeAudio transcribe audio
func (v *VllmModel) TranscribeAudio(ctx context.Context, modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, modelUsage *common.ModelUsage) (*ASRResponse, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
func (v *VllmModel) 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", v.Name())
}
// AudioSpeech convert text to audio
func (v *VllmModel) AudioSpeech(ctx context.Context, modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, modelUsage *common.ModelUsage) (*TTSResponse, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
func (v *VllmModel) 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", v.Name())
}
// OCRFile OCR file
func (v *VllmModel) 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", v.Name())
}
// ParseFile parse file
func (v *VllmModel) 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", v.Name())
}
func (v *VllmModel) ListTasks(ctx context.Context, apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}
func (v *VllmModel) ShowTask(ctx context.Context, taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", v.Name())
}