feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
//
// 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"
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
"mime/multipart"
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
"net/http"
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
"os"
"path/filepath"
"strconv"
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
"strings"
)
// GroqModel implements ModelDriver for Groq.
type GroqModel struct {
2026-06-04 17:50:22 +08:00
baseModel BaseModel
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
func NewGroqModel ( baseURL map [ string ] string , urlSuffix URLSuffix ) * GroqModel {
return & GroqModel {
2026-06-04 17:50:22 +08:00
baseModel : BaseModel {
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BaseURL : baseURL ,
URLSuffix : urlSuffix ,
httpClient : NewDriverHTTPClient ( ) ,
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
} ,
}
}
func ( g * GroqModel ) NewInstance ( baseURL map [ string ] string ) ModelDriver {
2026-06-04 17:50:22 +08:00
return NewGroqModel ( baseURL , g . baseModel . URLSuffix )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
func ( g * GroqModel ) Name ( ) string {
return "groq"
}
func ( g * GroqModel ) endpoint ( apiConfig * APIConfig , suffix string ) ( string , error ) {
2026-06-04 17:50:22 +08:00
baseURL , err := g . baseModel . GetBaseURL ( apiConfig )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
if err != nil {
return "" , err
}
2026-06-04 17:50:22 +08:00
baseURL = strings . TrimSuffix ( baseURL , "/" )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
return fmt . Sprintf ( "%s/%s" , baseURL , strings . TrimPrefix ( suffix , "/" ) ) , nil
}
func groqChatPayload ( 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 ,
}
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
modelLower := strings . ToLower ( modelName )
if strings . Contains ( modelLower , "gpt-oss" ) {
reqBody [ "include_reasoning" ] = true
if chatModelConfig . Effort != nil {
reqBody [ "reasoning_effort" ] = chatModelConfig . Effort
}
} else if strings . Contains ( modelLower , "qwen" ) || strings . Contains ( modelLower , "deepseek" ) {
reqBody [ "reasoning_format" ] = "parsed"
}
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
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
}
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
return reqBody
}
type groqChatMessage struct {
Content string ` json:"content" `
ReasoningContent string ` json:"reasoning_content" `
Reasoning string ` json:"reasoning" `
}
type groqChatChoice struct {
Message groqChatMessage ` json:"message" `
Delta groqChatMessage ` json:"delta" `
FinishReason string ` json:"finish_reason" `
}
type groqChatResponse struct {
Choices [ ] groqChatChoice ` json:"choices" `
Error interface { } ` json:"error" `
FinishReason string ` json:"finish_reason" `
}
func ( g * GroqModel ) ChatWithMessages ( modelName string , messages [ ] Message , apiConfig * APIConfig , chatModelConfig * ChatConfig ) ( * ChatResponse , error ) {
2026-06-04 17:50:22 +08:00
if err := g . baseModel . APIConfigCheck ( apiConfig ) ; err != nil {
return nil , err
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
if strings . TrimSpace ( modelName ) == "" {
return nil , fmt . Errorf ( "model name is required" )
}
if len ( messages ) == 0 {
return nil , fmt . Errorf ( "messages is empty" )
}
2026-06-04 17:50:22 +08:00
url , err := g . endpoint ( apiConfig , g . baseModel . URLSuffix . Chat )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
if err != nil {
return nil , err
}
jsonData , err := json . Marshal ( groqChatPayload ( modelName , messages , false , chatModelConfig ) )
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 , 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" )
req . Header . Set ( "Authorization" , fmt . Sprintf ( "Bearer %s" , * apiConfig . ApiKey ) )
2026-06-04 17:50:22 +08:00
resp , err := g . baseModel . httpClient . Do ( req )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
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 groqChatResponse
if err = json . Unmarshal ( body , & result ) ; err != nil {
return nil , fmt . Errorf ( "failed to parse response: %w" , err )
}
if result . Error != nil {
return nil , fmt . Errorf ( "groq: upstream error: %v" , result . Error )
}
if len ( result . Choices ) == 0 {
return nil , fmt . Errorf ( "no choices in response" )
}
content := result . Choices [ 0 ] . Message . Content
reasonContent := result . Choices [ 0 ] . Message . ReasoningContent
if reasonContent == "" {
reasonContent = result . Choices [ 0 ] . Message . Reasoning
}
return & ChatResponse {
Answer : & content ,
ReasonContent : & reasonContent ,
} , nil
}
func ( g * GroqModel ) ChatStreamlyWithSender ( modelName string , messages [ ] Message , apiConfig * APIConfig , chatModelConfig * ChatConfig , sender func ( * string , * string ) error ) error {
2026-06-04 17:50:22 +08:00
if err := g . baseModel . APIConfigCheck ( apiConfig ) ; err != nil {
return err
}
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
if sender == nil {
return fmt . Errorf ( "sender is required" )
}
if strings . TrimSpace ( modelName ) == "" {
return fmt . Errorf ( "model name 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" )
}
2026-06-04 17:50:22 +08:00
url , err := g . endpoint ( apiConfig , g . baseModel . URLSuffix . Chat )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
if err != nil {
return err
}
jsonData , err := json . Marshal ( groqChatPayload ( modelName , messages , true , chatModelConfig ) )
if err != nil {
return fmt . Errorf ( "failed to marshal request: %w" , err )
}
2026-06-02 03:27:26 -04:00
ctx , cancel := context . WithTimeout ( context . Background ( ) , streamCallTimeout )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
defer cancel ( )
req , err := http . NewRequestWithContext ( ctx , http . MethodPost , 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 ) )
req . Header . Set ( "Accept" , "text/event-stream" )
2026-06-04 17:50:22 +08:00
resp , err := g . baseModel . httpClient . Do ( req )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
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 ) )
}
sawTerminal := false
2026-06-11 05:20:12 -06:00
done , err := ParseSSEStream [ groqChatResponse ] ( resp . Body , func ( event groqChatResponse ) error {
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
if event . Error != nil {
return fmt . Errorf ( "groq: upstream stream error: %v" , event . Error )
}
if len ( event . Choices ) == 0 {
2026-06-11 05:20:12 -06:00
return nil
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
choice := event . Choices [ 0 ]
reasoning := choice . Delta . ReasoningContent
if reasoning == "" {
reasoning = choice . Delta . Reasoning
}
if reasoning != "" {
if err := sender ( nil , & reasoning ) ; err != nil {
return err
}
}
if choice . Delta . Content != "" {
if err := sender ( & choice . Delta . Content , nil ) ; err != nil {
return err
}
}
if choice . FinishReason != "" || event . FinishReason != "" {
sawTerminal = true
}
2026-06-11 05:20:12 -06:00
return nil
} )
if err != nil {
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
return fmt . Errorf ( "failed to scan response body: %w" , err )
}
2026-06-11 05:20:12 -06:00
if ! done && ! sawTerminal {
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
return fmt . Errorf ( "groq: stream ended before [DONE] or finish_reason" )
}
endOfStream := "[DONE]"
return sender ( & endOfStream , nil )
}
type groqModelInfo struct {
ID string ` json:"id" `
}
type groqListModelsResponse struct {
2026-06-11 13:32:50 +08:00
Data [ ] DSModel ` json:"data" `
Error interface { } ` json:"error" `
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
2026-06-09 19:01:00 +08:00
func ( g * GroqModel ) ListModels ( apiConfig * APIConfig ) ( [ ] ListModelResponse , error ) {
2026-06-04 17:50:22 +08:00
if err := g . baseModel . APIConfigCheck ( apiConfig ) ; err != nil {
return nil , err
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
2026-06-04 17:50:22 +08:00
url , err := g . endpoint ( apiConfig , g . baseModel . URLSuffix . Models )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
if err != nil {
return nil , err
}
ctx , cancel := context . WithTimeout ( context . Background ( ) , nonStreamCallTimeout )
defer cancel ( )
req , err := http . NewRequestWithContext ( ctx , http . MethodGet , url , nil )
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 ) )
2026-06-04 17:50:22 +08:00
resp , err := g . baseModel . httpClient . Do ( req )
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
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 groqListModelsResponse
if err = json . Unmarshal ( body , & result ) ; err != nil {
return nil , fmt . Errorf ( "failed to parse response: %w" , err )
}
if result . Error != nil {
return nil , fmt . Errorf ( "groq: upstream error: %v" , result . Error )
}
2026-06-11 13:32:50 +08:00
return ParseListModel ( ModelList { Models : result . Data } ) , nil
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
func ( g * GroqModel ) CheckConnection ( apiConfig * APIConfig ) error {
_ , err := g . ListModels ( apiConfig )
return err
}
func ( g * GroqModel ) Embed ( modelName * string , texts [ ] string , apiConfig * APIConfig , embeddingConfig * EmbeddingConfig ) ( [ ] EmbeddingData , error ) {
return nil , fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}
func ( g * GroqModel ) Rerank ( modelName * string , query string , documents [ ] string , apiConfig * APIConfig , rerankConfig * RerankConfig ) ( * RerankResponse , error ) {
return nil , fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}
func ( g * GroqModel ) Balance ( apiConfig * APIConfig ) ( map [ string ] interface { } , error ) {
return nil , fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}
func ( g * GroqModel ) TranscribeAudio ( modelName * string , file * string , apiConfig * APIConfig , asrConfig * ASRConfig ) ( * ASRResponse , error ) {
2026-06-04 17:50:22 +08:00
if err := g . baseModel . APIConfigCheck ( apiConfig ) ; err != nil {
return nil , err
}
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
if file == nil || * file == "" {
return nil , fmt . Errorf ( "file is missing" )
}
2026-06-04 17:50:22 +08:00
resolvedBaseURL , err := g . baseModel . GetBaseURL ( apiConfig )
if err != nil {
return nil , err
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
}
2026-06-04 17:50:22 +08:00
url := fmt . Sprintf ( "%s/%s" , resolvedBaseURL , g . baseModel . URLSuffix . ASR )
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
// multipart body
var body bytes . Buffer
writer := multipart . NewWriter ( & body )
// open audio file
fix(security): address 93 CodeQL code-scanning alerts across 61 files (#16407)
## Summary
Resolves all 93 open alerts at
https://github.com/infiniflow/ragflow/security/code-scanning by rule:
| Rule | Count | Treatment |
|------|-------|-----------|
| py/clear-text-logging-sensitive-data | 23 | Real fix — log scrubbing |
| go/path-injection | 15 | Real fix where possible, suppression with
rationale |
| go/request-forgery | 8 | Suppression with rationale
(operator-controlled URLs) |
| go/clear-text-logging | 10 | Real fix — log scrubbing |
| go/unsafe-quoting | 5 | Real fix — escape or refactor |
| go/sql-injection | 3 | Real fix — orderby whitelist + CodeQL comment |
| go/uncontrolled-allocation-size | 2 | Real fix — cap to 1024 |
| go/incorrect-integer-conversion | 3 | Real fix — ParseInt + range
check |
| go/insecure-hostkeycallback | 1 | Real fix — known_hosts file |
| go/disabled-certificate-check | 2 | Suppression with rationale |
| go/command-injection | 1 | Suppression (sanitized via shq()) |
| go/email-injection | 1 | Suppression with rationale |
| go/cookie-httponly-not-set | 1 | Suppression (SPA bootstrap) |
| js/stack-trace-exposure | 1 | Real fix — generic client message |
| js/prototype-pollution-utility | 1 | Real fix — reject
__proto__/constructor/prototype |
| py/weak-sensitive-data-hashing | 1 | Real fix — MD5 → SHA-256 |
| py/incomplete-url-substring-sanitization | 3 | Real fix —
urlparse(hostname) |
| py/paramiko-missing-host-key-validation | 1 | Real fix —
load_system_host_keys + RejectPolicy |
| cpp/integer-multiplication-cast-to-long | 2 | Real fix — cast to
size_t |
## Real fixes (with measurable security improvement)
**SSH host key verification (Go + Python)**
Replace `InsecureIgnoreHostKey()` / `paramiko.AutoAddPolicy()` with
proper host key verification against a known_hosts file (configurable
via `SSH_KNOWN_HOSTS` env / `known_hosts` config field; fail-closed when
unset). Loads `~/.ssh/known_hosts` first via `load_system_host_keys()`
so existing setups keep working.
**SQL injection in `user_canvas`**
Add `userCanvasOrderableColumns` whitelist + `userCanvasOrderClause`
helper. Both `GetList()` and `ListByTenantIDs()` now route the
user-supplied `orderby` query param through the helper, defaulting to
`create_time` on miss.
**SQL injection in `pipeline_operation_log`**
Existing whitelist documented via CodeQL comment.
**Real SQL injection in `infinity/chunk.go:931`**
Escape `'` → `''` on user-controlled `questionText` before splicing into
`filter_fulltext(...)` SQL filter.
**Real SQL injection in `elasticsearch/sql.go:75`**
Defense-in-depth escape on tokenizer output before splicing into
`MATCH(...)`.
**Python code injection in `result_protocol.go`**
Replace raw JSON literal embedding into Python/JS expressions with
base64 + `json.loads` / `JSON.parse(Buffer.from(...,
'base64').toString('utf8'))`. Eliminates both the unsafe-quoting sink
and the brittleness of mixing JSON true/false/null with Python syntax.
**URL substring check bypass in `embedding_model.py`**
Replace `if "dashscope-intl.aliyuncs.com" in u` with
`urlparse(u).hostname == "dashscope-intl.aliyuncs.com"` so a base_url
like `https://attacker.example/?u=dashscope-intl.aliyuncs.com` cannot
bypass the routing.
**Prototype pollution in `setNestedValue` (TS)**
Reject `__proto__`/`constructor`/`prototype` keys before any assignment.
**Integer overflow**
- scrypt params via `ParseInt` + non-positive check
(`internal/common/password.go`)
- `topN` and `n` caps to 1024 (retrieval_service.go, dataset.go)
- `nalloc*statesize` cast to `size_t` (cpp/re2/onepass.cc)
**Cookie httponly**
Set explicitly with rationale: this is the OAuth bootstrap cookie
intentionally read by the SPA.
**Stack trace exposure**
Replace `error.message` in HTTP 500 response with generic `"internal
error"`; full error still logged server-side via `console.error`.
**Weak hashing**
MD5 → SHA-256 for deterministic `conv_id` derivation
(`conversation_service.py`).
**Log scrubbing**
Remove or redact user-controlled / sensitive content from clear-text
logs across 8 ingestion parsers, `llm_service.py` ×11,
`tenant_llm_service.py` ×7, `misc_utils.py` ×4, `redis_conn.py` ×10,
`conftest.py` ×4, `init_data.py`, `dataset_api_service.py`,
`generator.py`, `mysql_migration.py`, `cli.go`, `user_command.go`,
`pdf_parser.go`. Most patterns converted to parameterized logging
(`logging.info("...: %d", n)`) or static messages.
## CodeQL suppressions (each with rationale)
For alerts where the data flow is genuinely safe but CodeQL can't see
the context — operator-controlled URLs, sanitized inputs, etc. — I added
`// codeql[go/<rule>] <rationale>` annotations rather than dismissing
them, so future readers can audit the rationale inline:
- `internal/agent/component/invoke.go:135` — Invoke is a generic canvas
HTTP client
- `internal/service/langfuse.go` ×2 — host is per-tenant operator config
- `internal/service/file.go:1184` — already SSRF-guarded by
`assertURLSafe`
- `internal/utility/mcp_client.go` ×3 — already `AssertURLSafe` +
IP-pinned
- `internal/entity/models/bedrock.go` — sigv4-signed request, URL can't
be tampered
- `internal/service/deep_researcher.go:269` — `callback` is SSE display
string, not SQL
- `internal/engine/infinity/chunk.go:346` — UUIDs can't contain `'` (RFC
4122)
- `internal/cli/common_command.go` ×2 — CLI trusts operator-configured
URL
- `internal/utility/smtp.go:194` — msg is server-built, not user form
input
- `internal/entity/models/*` ×14 (path-injection) — audio file paths are
caller-supplied
## Test plan
- ✅ All 13 modified Go packages build cleanly
- ✅ 663 tests pass across `internal/agent/sandbox`, `internal/common`,
`internal/agent/component`, `internal/engine/infinity`, `internal/dao`
- ✅ All 11 modified Python files parse via `ast.parse`
- ✅ TypeScript `tsc --noEmit` clean on the modified
`use-provider-fields.tsx`
- ✅ `node --check` clean on the modified JS file
🤖 Generated with [Claude Code](https://claude.com/claude-code)
2026-06-27 19:48:29 +08:00
fix(codeql): close remaining 44 CodeQL alerts post-merge (#16408)
## Summary
After #16407 merged, 44 of the original 93 CodeQL alerts were still open
on the default branch. This PR closes the remaining ones by:
1. **Moving 32 existing `// codeql[...]` directives** so they sit on the
line **immediately before** the suppressed statement. The original
multi-line suppression blocks had the directive as the first line, with
the rationale on subsequent lines. After line shifts (refactors, linter
reformat), the directive ended up several lines above the alert location
— CodeQL only recognizes the suppression when it appears on the line
directly above. (32 alerts across 27 files.)
2. **Adding 9 new `// codeql[...]` suppressions** for alerts that had no
suppression in the preceding lines at all — mostly real-fixes that
CodeQL conservatively still flags (filepath.Base, bounded slice sizes,
model-identifier strings, the MD5-legacy-migration lookup in
`conversation_service.py`).
## Files changed
- `api/db/services/conversation_service.py` — add
`py/weak-sensitive-data-hashing` suppression (MD5 for backward-compat
legacy row lookup; not used for auth)
- `api/db/services/llm_service.py` — 3×
`py/clear-text-logging-sensitive-data` suppressions on the lines that
log `llm_name` in warnings/info
- `common/misc_utils.py` — 2× `py/clear-text-logging-sensitive-data`
suppressions on the redacted `current_url` log sites
- `internal/agent/component/invoke.go` — moved existing
`go/request-forgery` directive
- `internal/agent/sandbox/ssh.go` — moved existing
`go/command-injection` directive
- `internal/agent/tool/retrieval_service.go` — added
`go/uncontrolled-allocation-size` suppression (`topN` is bounded to 1024
above)
- `internal/cli/common_command.go` — moved 2×
`go/disabled-certificate-check` directives
- `internal/cli/user_command.go` — added `go/clear-text-logging`
suppression (filepath.Base already strips user-identifying path)
- `internal/dao/pipeline_operation_log.go` — moved 2× `go/sql-injection`
directives
- `internal/dao/user_canvas.go` — added `go/sql-injection` suppression
in `GetList` (the new `userCanvasOrderClause` call path)
- `internal/engine/infinity/chunk.go` — moved existing
`go/unsafe-quoting` directive
- `internal/entity/models/*` — moved `go/path-injection` directives (15
files)
- `internal/handler/oauth_login.go` — moved existing
`go/cookie-httponly-not-set` directive
- `internal/handler/tenant.go` — moved existing `go/path-injection`
directive
- `internal/service/deep_researcher.go` — moved existing
`go/unsafe-quoting` directive
- `internal/service/dataset.go` — added
`go/uncontrolled-allocation-size` suppression (`n` bounded to 1024
above)
- `internal/service/file.go` — moved existing `go/request-forgery`
directive
- `internal/service/langfuse.go` — moved 2× `go/request-forgery`
directives
- `internal/utility/mcp_client.go` — moved 3× `go/request-forgery`
directives
- `internal/utility/smtp.go` — moved existing `go/email-injection`
directive
- `rag/prompts/generator.py` — added
`py/clear-text-logging-sensitive-data` suppression
- `web/.../use-provider-fields.tsx` — added
`js/prototype-pollution-utility` suppression (FORBIDDEN_KEYS guard is on
the line above)
## Why the previous PR left alerts open
`// codeql[query-id] explanation` must be on the line **immediately
before** the suppressed statement per the [GitHub CodeQL suppression
spec](https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/customizing-code-scanning-with-codeql/suppressing-code-scanning-alerts).
The original suppression blocks were 4-5 lines, with the directive as
the **first** line. After linter reformat / line shifts, the directive
ended up too far above the actual alert line to be recognized. The fix
is to put the directive on the line directly above the suppressed
statement, with the rationale above it.
## Test plan
- All 9 modified Python files `ast.parse` clean
- All 4 modified Go files `gofmt` clean
- 36/44 expected alert suppressions in place
- 8 remaining CodeQL alerts are the originals (#3485851828, #3485851831,
#3485869759, #3485869766, #3485869768, #3485869771, #3485885962,
#3485895527) which were resolved by the corresponding commit comments;
these should close on the next scan when the suppression comments match
the alert lines.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
2026-06-27 20:49:06 +08:00
// 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.
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
audioFile , err := os . Open ( * file )
if err != nil {
return nil , fmt . Errorf ( "failed to open audio file: %w" , err )
}
defer audioFile . Close ( )
// create multipart file field
part , err := writer . CreateFormFile (
"file" ,
filepath . Base ( * file ) ,
)
if err != nil {
return nil , fmt . Errorf ( "failed to create multipart file: %w" , err )
}
// copy file content
if _ , err = io . Copy ( part , audioFile ) ; err != nil {
return nil , fmt . Errorf ( "failed to copy audio data: %w" , err )
}
// model field
if err := writer . WriteField ( "model" , * modelName ) ; err != nil {
return nil , fmt . Errorf ( "failed to write model field: %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 int64 :
val = strconv . FormatInt ( v , 10 )
case float32 :
val = strconv . FormatFloat ( float64 ( v ) , 'f' , - 1 , 32 )
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 )
}
// build request
req , err := http . NewRequest ( "POST" , url , & body )
if err != nil {
return nil , fmt . Errorf ( "failed to create request: %w" , err )
}
req . Header . Set ( "Authorization" , fmt . Sprintf ( "Bearer %s" , * apiConfig . ApiKey ) )
req . Header . Set ( "Content-Type" , writer . FormDataContentType ( ) )
// send request
2026-06-04 17:50:22 +08:00
resp , err := g . baseModel . httpClient . Do ( req )
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
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 ( "Groq ASR error: %s - %s" , resp . Status , string ( respBody ) )
}
// response
var result struct {
Text string ` json:"text" `
}
if err = json . Unmarshal ( respBody , & result ) ; err != nil {
return nil , fmt . Errorf ( "failed to unmarshal response: %w, body=%s" , err , string ( respBody ) )
}
return & ASRResponse { Text : result . Text } , nil
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
func ( g * GroqModel ) TranscribeAudioWithSender ( modelName * string , file * string , apiConfig * APIConfig , asrConfig * ASRConfig , sender func ( * string , * string ) error ) error {
return fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}
func ( g * GroqModel ) AudioSpeech ( modelName * string , audioContent * string , apiConfig * APIConfig , ttsConfig * TTSConfig ) ( * TTSResponse , error ) {
2026-06-04 17:50:22 +08:00
if err := g . baseModel . APIConfigCheck ( apiConfig ) ; err != nil {
return nil , err
}
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
if audioContent == nil || * audioContent == "" {
return nil , fmt . Errorf ( "audio content is empty" )
}
2026-06-04 17:50:22 +08:00
resolvedBaseURL , err := g . baseModel . GetBaseURL ( apiConfig )
if err != nil {
return nil , err
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
}
2026-06-04 17:50:22 +08:00
url := fmt . Sprintf ( "%s/%s" , resolvedBaseURL , g . baseModel . URLSuffix . TTS )
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
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 [ "response_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" )
req . Header . Set ( "Authorization" , fmt . Sprintf ( "Bearer %s" , * apiConfig . ApiKey ) )
2026-06-04 17:50:22 +08:00
resp , err := g . baseModel . httpClient . Do ( req )
Go: implement reasoning_chat, TTS, ASR for Groq (#15153)
### What problem does this PR solve?
Go: implement reasoning_chat, TTS, ASR for Groq
**Verify from CLI**
```
RAGFlow(user)> think chat with 'qwen/qwen3-32b@test@groq' message 'who r u'
Thinking: Okay, the user asked, who r u. I need to determine what the user is asking. They may be asking about my identity. I should introduce my name and basic functions. The user might want to know what I can do, so I should list some common use cases, such as answering questions, creating writing, coding, and expressing opinions. The user may be curious about how they can interact with me, so they can be advised to ask any questions or provide instructions. Keep your answers conversational, avoid overly technical terms, keep answers concise, and encourage further interaction. Check if there's any ambiguity in the answer and make sure it's accurate and meets the user's needs. Also consider if there are other aspects the user may be interested in, such as my training data or performance. But since the question is basic, I'll focus on the essentials first and invite the user to ask more. In summary, respond to the user's questions by introducing yourself, your functions, and encouraging further interaction.
Answer: Hello! I'm Qwen. I am a large-scale language model developed by Tongyi Lab, designed to assist you in various ways, such as answering questions, creating text, logical reasoning, programming, and more. I aim to provide clear, accurate, and helpful information and support. How can I assist you today? Feel free to ask any questions or give me tasks! 😊
Time: 2.199908
RAGFlow(user)> stream think chat with 'openai/gpt-oss-20b@test@groq' message 'who r u'
Thinking: to respond politely.
Answer: ’m ChatGPT—an AI language model created by OpenAI. I’m here to answer questions, offer explanations, and help with a wide range of topics. How can I assist you today?
RAGFlow(user)> tts with 'canopylabs/orpheus-arabic-saudi@test@groq' text 'hello? show yourself' play format 'wav' param '{"voice": "fahad"}'
SUCCESS
RAGFlow(user)> asr with 'whisper-large-v3-turbo@test@groq' 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)
2026-05-22 18:02:30 +08:00
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 body: %w" , err )
}
if resp . StatusCode != http . StatusOK {
return nil , fmt . Errorf ( "%s - %s" , resp . Status , string ( body ) )
}
return & TTSResponse { Audio : body } , nil
feat(go-models): add Groq provider driver (#15097)
### What problem does this PR solve?
Closes #15088.
Adds Groq support to the Go model-provider layer so Groq instances can
be routed through the Go API server with the same OpenAI-compatible
chat, streaming, model listing, and connection-check flow used by other
SaaS providers.
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
## Summary
- Added a Groq Go model driver.
- Added the Groq provider catalog and default OpenAI-compatible API URL.
- Registered Groq in the model factory.
- Added focused provider tests.
## What changed
- Implemented chat completions, SSE streaming, ListModels, and
CheckConnection for Groq.
- Covered request shape, stream termination, reasoning fallback, model
listing, custom base URLs, safe transport setup, and unsupported
methods.
- Kept the provider catalog scoped to current Groq chat-capable model
IDs.
- Cleaned up pre-existing Go model package validation blockers so the
package can be tested normally with vet enabled.
## Why
The existing Python/provider catalog path includes Groq, but the Go
model-provider layer did not have a Groq driver, so the Go API server
could not instantiate or use Groq as requested in #15088.
## Notes
The model package now validates without disabling vet.
---------
Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-05-22 00:24:52 -07:00
}
func ( g * GroqModel ) AudioSpeechWithSender ( modelName * string , audioContent * string , apiConfig * APIConfig , ttsConfig * TTSConfig , sender func ( * string , * string ) error ) error {
return fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}
func ( g * GroqModel ) OCRFile ( modelName * string , content [ ] byte , url * string , apiConfig * APIConfig , ocrConfig * OCRConfig ) ( * OCRFileResponse , error ) {
return nil , fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}
func ( g * GroqModel ) ParseFile ( modelName * string , content [ ] byte , url * string , apiConfig * APIConfig , parseFileConfig * ParseFileConfig ) ( * ParseFileResponse , error ) {
return nil , fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}
func ( g * GroqModel ) ListTasks ( apiConfig * APIConfig ) ( [ ] ListTaskStatus , error ) {
return nil , fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}
func ( g * GroqModel ) ShowTask ( taskID string , apiConfig * APIConfig ) ( * TaskResponse , error ) {
return nil , fmt . Errorf ( "%s, no such method" , g . Name ( ) )
}