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ragflow/internal/entity/models/stepfun.go

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Go: implement provider: StepFun (#14815) ### What problem does this PR solve? Add a Go driver for StepFun (阶跃星辰), one of the unchecked providers on the umbrella tracking issue #14736. Until this PR, a tenant who configured `stepfun` as a model provider in the Go layer fell through to the default branch of `internal/entity/models/factory.go` and got the dummy driver. Chat, list models, and check connection all returned `"not implemented"` instead of reaching the StepFun API. The Python side has had StepFun registered in `rag/llm/__init__.py` as a `SupportedLiteLLMProvider` with base URL `https://api.stepfun.com/v1`, plus `StepFunCV` for vision and `StepFunSeq2txt` for ASR, but no Go path. StepFun's chat API is OpenAI-compatible, so the implementation pattern is the same as the merged Moonshot driver (#14433) and OpenAI driver (#14605). ### What this PR includes - New file `internal/entity/models/stepfun.go` with a `StepFunModel` that implements the `ModelDriver` interface. - `factory.go`: route the `"stepfun"` provider name to `NewStepFunModel`. - New `conf/models/stepfun.json` with the public StepFun chat models (step-2-16k, step-1 family in 8k/32k/128k/256k context lengths, step-1-flash, and the step-1v / step-1o vision models) and `url_suffix` entries for `chat` and `models`. ### How the driver works - StepFun exposes the OpenAI-compatible API at `https://api.stepfun.com/v1`. - `ChatWithMessages` and `ChatStreamlyWithSender` post to `/chat/completions` in the same shape as the merged moonshot, openrouter, and openai drivers. - `ListModels` and `CheckConnection` call `/models` to list available ids and confirm the API key works. - `Embed` is left as `"not implemented"`. StepFun has not advertised a public embeddings endpoint in the API reference linked from the umbrella issue (`https://platform.stepfun.com/docs/en/api-reference/chat/chat-completion-create` is the chat endpoint), so any real implementation belongs in a separate follow-up only after the endpoint is verified. - `Rerank` and `Balance` return `"no such method"` because StepFun does not expose either. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### How was this tested? - `go build ./internal/entity/models/...` returns exit 0 with no errors on go 1.25 (the `go.mod` minimum). - Method set of `StepFunModel` matches the `ModelDriver` interface: `NewInstance`, `Name`, `ChatWithMessages`, `ChatStreamlyWithSender`, `Embed`, `Rerank`, `ListModels`, `Balance`, `CheckConnection`. - Pattern parity with the merged moonshot (#14433), openai (#14605), openrouter (#14652), and xai (#14550) drivers. Closes #14814 Tracking: #14736
2026-05-11 19:49:35 -10:00
//
// 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 (
"bufio"
"bytes"
"context"
Go: implement TTS, ASR for Siliconflow and TTs for StepFun (#14944) ### What problem does this PR solve? This PRimplement TTS, ASR for Siliconflow and TTs for StepFun **The following functionalities are now supported:** **SiliConFlow:** - [x] Text To Speech - [x] Audio To Text - [x] Stream Audio To Text **StrepFun:** - [x] Audio To Text - [x] Stream Audio To Text **Verified examples from the CLI:** ```plaintext # SiliconFlow RAGFlow(user)> tts with 'FunAudioLLM/CosyVoice2-0.5B@test@Siliconflow' text 'hello? show yourself' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}' SUCCESS RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> stream asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality)
2026-05-15 14:03:33 +08:00
"encoding/base64"
Go: implement provider: StepFun (#14815) ### What problem does this PR solve? Add a Go driver for StepFun (阶跃星辰), one of the unchecked providers on the umbrella tracking issue #14736. Until this PR, a tenant who configured `stepfun` as a model provider in the Go layer fell through to the default branch of `internal/entity/models/factory.go` and got the dummy driver. Chat, list models, and check connection all returned `"not implemented"` instead of reaching the StepFun API. The Python side has had StepFun registered in `rag/llm/__init__.py` as a `SupportedLiteLLMProvider` with base URL `https://api.stepfun.com/v1`, plus `StepFunCV` for vision and `StepFunSeq2txt` for ASR, but no Go path. StepFun's chat API is OpenAI-compatible, so the implementation pattern is the same as the merged Moonshot driver (#14433) and OpenAI driver (#14605). ### What this PR includes - New file `internal/entity/models/stepfun.go` with a `StepFunModel` that implements the `ModelDriver` interface. - `factory.go`: route the `"stepfun"` provider name to `NewStepFunModel`. - New `conf/models/stepfun.json` with the public StepFun chat models (step-2-16k, step-1 family in 8k/32k/128k/256k context lengths, step-1-flash, and the step-1v / step-1o vision models) and `url_suffix` entries for `chat` and `models`. ### How the driver works - StepFun exposes the OpenAI-compatible API at `https://api.stepfun.com/v1`. - `ChatWithMessages` and `ChatStreamlyWithSender` post to `/chat/completions` in the same shape as the merged moonshot, openrouter, and openai drivers. - `ListModels` and `CheckConnection` call `/models` to list available ids and confirm the API key works. - `Embed` is left as `"not implemented"`. StepFun has not advertised a public embeddings endpoint in the API reference linked from the umbrella issue (`https://platform.stepfun.com/docs/en/api-reference/chat/chat-completion-create` is the chat endpoint), so any real implementation belongs in a separate follow-up only after the endpoint is verified. - `Rerank` and `Balance` return `"no such method"` because StepFun does not expose either. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### How was this tested? - `go build ./internal/entity/models/...` returns exit 0 with no errors on go 1.25 (the `go.mod` minimum). - Method set of `StepFunModel` matches the `ModelDriver` interface: `NewInstance`, `Name`, `ChatWithMessages`, `ChatStreamlyWithSender`, `Embed`, `Rerank`, `ListModels`, `Balance`, `CheckConnection`. - Pattern parity with the merged moonshot (#14433), openai (#14605), openrouter (#14652), and xai (#14550) drivers. Closes #14814 Tracking: #14736
2026-05-11 19:49:35 -10:00
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"time"
)
// StepFunModel implements ModelDriver for StepFun (阶跃星辰).
//
// StepFun exposes an OpenAI-compatible REST API at https://api.stepfun.com/v1
// (chat completions at /chat/completions, list models at /models). The wire
// shape matches OpenAI closely enough that the chat path here is a direct
// port of the OpenAI driver.
type StepFunModel struct {
BaseURL map[string]string
URLSuffix URLSuffix
httpClient *http.Client
}
// NewStepFunModel creates a new StepFun model instance.
//
// We clone http.DefaultTransport so we keep Go's defaults for
// ProxyFromEnvironment, DialContext (with KeepAlive), HTTP/2,
// TLSHandshakeTimeout, and ExpectContinueTimeout, and only override
// the connection-pool fields we care about.
//
// The Client itself has no Timeout. http.Client.Timeout would also
// cap the time spent reading the response body, which would cut off
// long-lived SSE streams in ChatStreamlyWithSender. Non-streaming
// callers wrap each request with context.WithTimeout instead.
func NewStepFunModel(baseURL map[string]string, urlSuffix URLSuffix) *StepFunModel {
transport := http.DefaultTransport.(*http.Transport).Clone()
transport.MaxIdleConns = 100
transport.MaxIdleConnsPerHost = 10
transport.IdleConnTimeout = 90 * time.Second
transport.DisableCompression = false
transport.ResponseHeaderTimeout = 60 * time.Second
return &StepFunModel{
BaseURL: baseURL,
URLSuffix: urlSuffix,
httpClient: &http.Client{
Transport: transport,
},
}
}
Go: implement TTS, ASR for Siliconflow and TTs for StepFun (#14944) ### What problem does this PR solve? This PRimplement TTS, ASR for Siliconflow and TTs for StepFun **The following functionalities are now supported:** **SiliConFlow:** - [x] Text To Speech - [x] Audio To Text - [x] Stream Audio To Text **StrepFun:** - [x] Audio To Text - [x] Stream Audio To Text **Verified examples from the CLI:** ```plaintext # SiliconFlow RAGFlow(user)> tts with 'FunAudioLLM/CosyVoice2-0.5B@test@Siliconflow' text 'hello? show yourself' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}' SUCCESS RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> stream asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality)
2026-05-15 14:03:33 +08:00
/*
RAGFlow(user)> tts with 'fnlp/MOSS-TTSD-v0.5@test@siliconflow' text 'He who desires but acts not, breeds pestilence.' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}'
SUCCESS
RAGFlow(user)> stream tts with 'fnlp/MOSS-TTSD-v0.5@test@siliconflow' text 'He who desires but acts not, breeds pestilence.' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:claire"}'
SUCCESS
*/
Go: implement provider: StepFun (#14815) ### What problem does this PR solve? Add a Go driver for StepFun (阶跃星辰), one of the unchecked providers on the umbrella tracking issue #14736. Until this PR, a tenant who configured `stepfun` as a model provider in the Go layer fell through to the default branch of `internal/entity/models/factory.go` and got the dummy driver. Chat, list models, and check connection all returned `"not implemented"` instead of reaching the StepFun API. The Python side has had StepFun registered in `rag/llm/__init__.py` as a `SupportedLiteLLMProvider` with base URL `https://api.stepfun.com/v1`, plus `StepFunCV` for vision and `StepFunSeq2txt` for ASR, but no Go path. StepFun's chat API is OpenAI-compatible, so the implementation pattern is the same as the merged Moonshot driver (#14433) and OpenAI driver (#14605). ### What this PR includes - New file `internal/entity/models/stepfun.go` with a `StepFunModel` that implements the `ModelDriver` interface. - `factory.go`: route the `"stepfun"` provider name to `NewStepFunModel`. - New `conf/models/stepfun.json` with the public StepFun chat models (step-2-16k, step-1 family in 8k/32k/128k/256k context lengths, step-1-flash, and the step-1v / step-1o vision models) and `url_suffix` entries for `chat` and `models`. ### How the driver works - StepFun exposes the OpenAI-compatible API at `https://api.stepfun.com/v1`. - `ChatWithMessages` and `ChatStreamlyWithSender` post to `/chat/completions` in the same shape as the merged moonshot, openrouter, and openai drivers. - `ListModels` and `CheckConnection` call `/models` to list available ids and confirm the API key works. - `Embed` is left as `"not implemented"`. StepFun has not advertised a public embeddings endpoint in the API reference linked from the umbrella issue (`https://platform.stepfun.com/docs/en/api-reference/chat/chat-completion-create` is the chat endpoint), so any real implementation belongs in a separate follow-up only after the endpoint is verified. - `Rerank` and `Balance` return `"no such method"` because StepFun does not expose either. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### How was this tested? - `go build ./internal/entity/models/...` returns exit 0 with no errors on go 1.25 (the `go.mod` minimum). - Method set of `StepFunModel` matches the `ModelDriver` interface: `NewInstance`, `Name`, `ChatWithMessages`, `ChatStreamlyWithSender`, `Embed`, `Rerank`, `ListModels`, `Balance`, `CheckConnection`. - Pattern parity with the merged moonshot (#14433), openai (#14605), openrouter (#14652), and xai (#14550) drivers. Closes #14814 Tracking: #14736
2026-05-11 19:49:35 -10:00
func (s *StepFunModel) NewInstance(baseURL map[string]string) ModelDriver {
return NewStepFunModel(baseURL, s.URLSuffix)
}
func (s *StepFunModel) Name() string {
return "stepfun"
}
// baseURLForRegion returns the base URL for the given region, or an
// error if no entry exists. This makes a misconfigured region fail
// fast with a clear message, instead of silently producing a relative
// URL that the HTTP transport then rejects.
func (s *StepFunModel) baseURLForRegion(region string) (string, error) {
base, ok := s.BaseURL[region]
if !ok || base == "" {
return "", fmt.Errorf("stepfun: no base URL configured for region %q", region)
}
return base, nil
}
// ChatWithMessages sends multiple messages with roles and returns the response.
func (s *StepFunModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
return nil, fmt.Errorf("api key is required")
}
if len(messages) == 0 {
return nil, fmt.Errorf("messages is empty")
}
region := "default"
if apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
baseURL, err := s.baseURLForRegion(region)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", baseURL, s.URLSuffix.Chat)
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": false,
}
// Note: do NOT propagate chatModelConfig.Stream into the request body
// here. ChatWithMessages parses a single JSON response, so stream must
// always be off for this code path.
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
}
}
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")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := s.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 map[string]interface{}
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
choices, ok := result["choices"].([]interface{})
if !ok || len(choices) == 0 {
return nil, fmt.Errorf("no choices in response")
}
firstChoice, ok := choices[0].(map[string]interface{})
if !ok {
return nil, fmt.Errorf("invalid choice format")
}
messageMap, ok := firstChoice["message"].(map[string]interface{})
if !ok {
return nil, fmt.Errorf("invalid message format")
}
content, ok := messageMap["content"].(string)
if !ok {
return nil, fmt.Errorf("invalid content format")
}
emptyReason := ""
return &ChatResponse{
Answer: &content,
ReasonContent: &emptyReason,
}, nil
}
// ChatStreamlyWithSender sends messages and streams the response via the
// sender function. The StepFun SSE stream uses the same shape as OpenAI:
// "data:" lines carrying JSON events, with a final "[DONE]" line.
func (s *StepFunModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, sender func(*string, *string) error) error {
if sender == nil {
return fmt.Errorf("sender is required")
}
if len(messages) == 0 {
return fmt.Errorf("messages is empty")
}
if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
return fmt.Errorf("api key is required")
}
var region = "default"
if apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
baseURL, err := s.baseURLForRegion(region)
if err != nil {
return err
}
url := fmt.Sprintf("%s/%s", baseURL, s.URLSuffix.Chat)
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": true,
}
if chatModelConfig != nil {
// Refuse to run if the caller explicitly asked for stream=false.
// The body of this method only knows how to read SSE, so a
// non-SSE JSON response would be parsed as if it were a stream
// and produce no chunks. Better to fail clearly.
if chatModelConfig.Stream != nil && !*chatModelConfig.Stream {
return fmt.Errorf("stream must be true in ChatStreamlyWithSender")
}
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
}
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return fmt.Errorf("failed to marshal request: %w", err)
}
// SSE streams are long-lived. We rely on the transport's
// ResponseHeaderTimeout to cap the connection-establishment phase
// instead of attaching a hard deadline here.
req, err := http.NewRequestWithContext(context.Background(), "POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := s.httpClient.Do(req)
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))
}
// SSE parsing: bump the scanner buffer from the 64KB default to 1MB
// so we never silently truncate a long data: line.
scanner := bufio.NewScanner(resp.Body)
scanner.Buffer(make([]byte, 64*1024), 1024*1024)
sawTerminal := false
for scanner.Scan() {
line := scanner.Text()
if !strings.HasPrefix(line, "data:") {
continue
}
data := strings.TrimSpace(line[5:])
if data == "[DONE]" {
sawTerminal = true
break
}
var event map[string]interface{}
if err = json.Unmarshal([]byte(data), &event); err != nil {
continue
}
choices, ok := event["choices"].([]interface{})
if !ok || len(choices) == 0 {
continue
}
firstChoice, ok := choices[0].(map[string]interface{})
if !ok {
continue
}
delta, ok := firstChoice["delta"].(map[string]interface{})
if !ok {
continue
}
content, ok := delta["content"].(string)
if ok && content != "" {
if err := sender(&content, nil); err != nil {
return err
}
}
finishReason, ok := firstChoice["finish_reason"].(string)
if ok && finishReason != "" {
sawTerminal = true
break
}
}
if err := scanner.Err(); err != nil {
return fmt.Errorf("failed to scan response body: %w", err)
}
if !sawTerminal {
return fmt.Errorf("stepfun: stream ended before [DONE] or finish_reason")
}
endOfStream := "[DONE]"
if err := sender(&endOfStream, nil); err != nil {
return err
}
return nil
}
// Embed is left as a stub. StepFun has not advertised a public embeddings
// endpoint in the API reference linked from the umbrella issue, so any real
// implementation belongs in a follow-up only after the endpoint is verified.
func (s *StepFunModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
return nil, fmt.Errorf("not implemented")
}
// ListModels returns the list of model ids visible to the API key.
func (s *StepFunModel) ListModels(apiConfig *APIConfig) ([]string, error) {
if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
return nil, fmt.Errorf("api key is required")
}
region := "default"
if apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
baseURL, err := s.baseURLForRegion(region)
if err != nil {
return nil, err
}
url := fmt.Sprintf("%s/%s", baseURL, s.URLSuffix.Models)
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("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := s.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 map[string]interface{}
if err = json.Unmarshal(body, &result); err != nil {
return nil, fmt.Errorf("failed to parse response: %w", err)
}
data, ok := result["data"].([]interface{})
if !ok {
return nil, fmt.Errorf("invalid models list format")
}
models := make([]string, 0)
for _, model := range data {
modelMap, ok := model.(map[string]interface{})
if !ok {
continue
}
modelName, ok := modelMap["id"].(string)
if !ok {
continue
}
models = append(models, modelName)
}
return models, nil
}
// Balance is not exposed by the StepFun API, so this returns "no such method".
func (s *StepFunModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
return nil, fmt.Errorf("no such method")
}
// CheckConnection runs a lightweight ListModels call to verify the API key.
func (s *StepFunModel) CheckConnection(apiConfig *APIConfig) error {
_, err := s.ListModels(apiConfig)
if err != nil {
return err
}
return nil
}
// Rerank calculates similarity scores between query and documents. StepFun
// does not expose a public rerank API, so this returns "no such method".
func (s *StepFunModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
return nil, fmt.Errorf("no such method")
}
// TranscribeAudio transcribe audio
Go: implement TTS, ASR for Siliconflow and TTs for StepFun (#14944) ### What problem does this PR solve? This PRimplement TTS, ASR for Siliconflow and TTs for StepFun **The following functionalities are now supported:** **SiliConFlow:** - [x] Text To Speech - [x] Audio To Text - [x] Stream Audio To Text **StrepFun:** - [x] Audio To Text - [x] Stream Audio To Text **Verified examples from the CLI:** ```plaintext # SiliconFlow RAGFlow(user)> tts with 'FunAudioLLM/CosyVoice2-0.5B@test@Siliconflow' text 'hello? show yourself' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}' SUCCESS RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> stream asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality)
2026-05-15 14:03:33 +08:00
func (s *StepFunModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
return nil, fmt.Errorf("%s, no such method", s.Name())
}
Go: implement TTS, ASR for Siliconflow and TTs for StepFun (#14944) ### What problem does this PR solve? This PRimplement TTS, ASR for Siliconflow and TTs for StepFun **The following functionalities are now supported:** **SiliConFlow:** - [x] Text To Speech - [x] Audio To Text - [x] Stream Audio To Text **StrepFun:** - [x] Audio To Text - [x] Stream Audio To Text **Verified examples from the CLI:** ```plaintext # SiliconFlow RAGFlow(user)> tts with 'FunAudioLLM/CosyVoice2-0.5B@test@Siliconflow' text 'hello? show yourself' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}' SUCCESS RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> stream asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality)
2026-05-15 14:03:33 +08:00
func (s *StepFunModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
return fmt.Errorf("%s, no such method", s.Name())
}
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### What problem does this PR solve? This PR implement implement OCR for Baidu and Mistral, implement PaddleOCR provider and implement ASR for CoHere **Verified examples from the CLI:** ``` RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ # PaddleOCR RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation Bingxin Ke Nando Metzger Photogra Anton Obukhov Rodrigo Caye Daudt netry and Remote Sensing, Shengyu Huang Konrad Schindler ETH Zürich <div style="text-align: c... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ # Cohere RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}' +-----------------------------------------------------------------------------------------------------------------------+ | text | +-----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. | +-----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-15 18:41:43 +08:00
// AudioSpeech convert text to audio
func (s *StepFunModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
Go: implement TTS, ASR for Siliconflow and TTs for StepFun (#14944) ### What problem does this PR solve? This PRimplement TTS, ASR for Siliconflow and TTs for StepFun **The following functionalities are now supported:** **SiliConFlow:** - [x] Text To Speech - [x] Audio To Text - [x] Stream Audio To Text **StrepFun:** - [x] Audio To Text - [x] Stream Audio To Text **Verified examples from the CLI:** ```plaintext # SiliconFlow RAGFlow(user)> tts with 'FunAudioLLM/CosyVoice2-0.5B@test@Siliconflow' text 'hello? show yourself' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}' SUCCESS RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> stream asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality)
2026-05-15 14:03:33 +08:00
// TODO Test it
if audioContent == nil || *audioContent == "" {
return nil, fmt.Errorf("audio content is empty")
}
var region = "default"
if apiConfig != nil && apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
url := fmt.Sprintf("%s/%s", s.BaseURL[region], s.URLSuffix.TTS)
reqBody := map[string]interface{}{
"model": *modelName,
"input": *audioContent,
}
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### What problem does this PR solve? This PR implement implement OCR for Baidu and Mistral, implement PaddleOCR provider and implement ASR for CoHere **Verified examples from the CLI:** ``` RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ # PaddleOCR RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation Bingxin Ke Nando Metzger Photogra Anton Obukhov Rodrigo Caye Daudt netry and Remote Sensing, Shengyu Huang Konrad Schindler ETH Zürich <div style="text-align: c... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ # Cohere RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}' +-----------------------------------------------------------------------------------------------------------------------+ | text | +-----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. | +-----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-15 18:41:43 +08:00
if ttsConfig != nil && ttsConfig.Params != nil {
for key, value := range ttsConfig.Params {
Go: implement TTS, ASR for Siliconflow and TTs for StepFun (#14944) ### What problem does this PR solve? This PRimplement TTS, ASR for Siliconflow and TTs for StepFun **The following functionalities are now supported:** **SiliConFlow:** - [x] Text To Speech - [x] Audio To Text - [x] Stream Audio To Text **StrepFun:** - [x] Audio To Text - [x] Stream Audio To Text **Verified examples from the CLI:** ```plaintext # SiliconFlow RAGFlow(user)> tts with 'FunAudioLLM/CosyVoice2-0.5B@test@Siliconflow' text 'hello? show yourself' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}' SUCCESS RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> stream asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality)
2026-05-15 14:03:33 +08:00
reqBody[key] = value
}
}
Go: implement PaddleOCR provider and implement ASR for CoHere (#14954) ### What problem does this PR solve? This PR implement implement OCR for Baidu and Mistral, implement PaddleOCR provider and implement ASR for CoHere **Verified examples from the CLI:** ``` RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ # PaddleOCR RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf' +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | text | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ | # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation Bingxin Ke Nando Metzger Photogra Anton Obukhov Rodrigo Caye Daudt netry and Remote Sensing, Shengyu Huang Konrad Schindler ETH Zürich <div style="text-align: c... | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+ # Cohere RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}' +-----------------------------------------------------------------------------------------------------------------------+ | text | +-----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. | +-----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) - [x] Refactoring
2026-05-15 18:41:43 +08:00
if ttsConfig != nil && ttsConfig.Format != "" {
reqBody["response_format"] = ttsConfig.Format
Go: implement TTS, ASR for Siliconflow and TTs for StepFun (#14944) ### What problem does this PR solve? This PRimplement TTS, ASR for Siliconflow and TTs for StepFun **The following functionalities are now supported:** **SiliConFlow:** - [x] Text To Speech - [x] Audio To Text - [x] Stream Audio To Text **StrepFun:** - [x] Audio To Text - [x] Stream Audio To Text **Verified examples from the CLI:** ```plaintext # SiliconFlow RAGFlow(user)> tts with 'FunAudioLLM/CosyVoice2-0.5B@test@Siliconflow' text 'hello? show yourself' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}' SUCCESS RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> stream asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality)
2026-05-15 14:03:33 +08:00
}
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")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := s.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
}
Go: implement TTS, ASR for Siliconflow and TTs for StepFun (#14944) ### What problem does this PR solve? This PRimplement TTS, ASR for Siliconflow and TTs for StepFun **The following functionalities are now supported:** **SiliConFlow:** - [x] Text To Speech - [x] Audio To Text - [x] Stream Audio To Text **StrepFun:** - [x] Audio To Text - [x] Stream Audio To Text **Verified examples from the CLI:** ```plaintext # SiliconFlow RAGFlow(user)> tts with 'FunAudioLLM/CosyVoice2-0.5B@test@Siliconflow' text 'hello? show yourself' play format 'wav' param '{"voice": "fnlp/MOSS-TTSD-v0.5:alex"}' SUCCESS RAGFlow(user)> asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ RAGFlow(user)> stream asr with 'FunAudioLLM/SenseVoiceSmall@test@siliconflow' audio './internal/test.wav' param '' +----------------------------------------------------------------------------------------------------------------------+ | text | +----------------------------------------------------------------------------------------------------------------------+ | The examination and testimony of the experts enabled the commission to conclude that five shots may have been fired. | +----------------------------------------------------------------------------------------------------------------------+ ``` ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality)
2026-05-15 14:03:33 +08:00
// AudioSpeechWithSender for Streaming TTS
func (s *StepFunModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
// TODO Test it
if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
return fmt.Errorf("StepFun API key is missing")
}
if audioContent == nil || *audioContent == "" {
return fmt.Errorf("audio content is empty")
}
var region = "default"
if apiConfig.Region != nil && *apiConfig.Region != "" {
region = *apiConfig.Region
}
url := fmt.Sprintf("%s/%s", s.BaseURL[region], s.URLSuffix.TTS)
reqBody := map[string]interface{}{
"model": *modelName,
"input": *audioContent,
"stream_format": "sse",
}
if ttsConfig != nil && ttsConfig.Params != nil {
for key, value := range ttsConfig.Params {
reqBody[key] = value
}
}
if ttsConfig != nil && ttsConfig.Format != "" {
reqBody["response_format"] = ttsConfig.Format
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
return fmt.Errorf("failed to marshal request: %w", err)
}
req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
if err != nil {
return fmt.Errorf("failed to create request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
resp, err := s.httpClient.Do(req)
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("StepFun stream TTS API error: %d - %s", resp.StatusCode, string(body))
}
scanner := bufio.NewScanner(resp.Body)
scanner.Buffer(make([]byte, 64*1024), 8*1024*1024)
for scanner.Scan() {
line := scanner.Text()
if !strings.HasPrefix(line, "data: ") {
continue
}
dataStr := strings.TrimSpace(line[6:])
// [DONE]
if dataStr == "" || dataStr == "[DONE]" {
continue
}
// Parse
var event struct {
Type string `json:"type"`
Audio string `json:"audio"`
}
if err := json.Unmarshal([]byte(dataStr), &event); err != nil {
continue
}
if event.Type == "speech.audio.error" {
return fmt.Errorf("StepFun stream encountered an error during generation")
}
// Extract the Base64 string containing the audio and decode it
if event.Type == "speech.audio.delta" && event.Audio != "" {
audioBytes, err := base64.StdEncoding.DecodeString(event.Audio)
if err == nil && len(audioBytes) > 0 {
chunk := string(audioBytes)
if errSend := sender(&chunk, nil); errSend != nil {
return errSend
}
}
}
}
if err := scanner.Err(); err != nil {
return fmt.Errorf("error reading StepFun stream: %w", err)
}
return nil
}
// OCRFile OCR file
Go: add file parse command (#14892) ### What problem does this PR solve? ``` RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png' +----------------------------------------------------------+ | text | +----------------------------------------------------------+ | 生活不是等待风暴过去,而是学会在雨中翩翩起舞。 ——佚名 | +----------------------------------------------------------+ RAGFlow(user)> list 'test@gitee' tasks; +---------+----------------------------------+ | status | task_id | +---------+----------------------------------+ | success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 | +---------+----------------------------------+ RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5'; +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | content | index | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ | # PDF 1: Purpose of RAGFlow RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1 | +------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+ ``` ### Type of change - [x] New Feature (non-breaking change which adds functionality) --------- Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-15 12:29:52 +08:00
func (z *StepFunModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}
// ParseFile parse file
func (z *StepFunModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}
func (z *StepFunModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}
func (z *StepFunModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
return nil, fmt.Errorf("%s, no such method", z.Name())
}