16 Commits

Author SHA1 Message Date
JPette1783
daa3811165 feat(models): add shared HTTP client, SSE parser, and stub helpers for Go model drivers (#15821)
### What problem does this PR solve?

The Go model-driver layer () has ~38,700 lines across 109 files. Roughly
74% of that is boilerplate duplicated into every driver: identical HTTP
client setup, the same 65-line SSE scanner loop, and 10-11 one-line "not
supported" stub methods per driver. Any fix must be manually propagated
to every file. Closes #15820.

This PR establishes the three shared utility files that form the
foundation for incremental driver migration:

---

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring

---------

Co-authored-by: Haruko386 <tryeverypossible@163.com>
2026-06-11 19:20:12 +08:00
Haruko386
84edf539e7 Go: Refactor list-models func (#15900)
### What problem does this PR solve?

As title
Issue: #15853 

### Type of change

- [x] Refactoring
2026-06-11 13:32:50 +08:00
Jin Hai
719ce15c95 Go CLI: update list supported models (#15845)
### What problem does this PR solve?

Now list supported models will show more info.

```
RAGFlow(api/default)> list supported models from 'gitee' 'test';
+-----------+------------+-------------+----------------------------------------------------------+---------------------------------------------+
| dimension | max_tokens | model_types | name                                                     | thinking                                    |
+-----------+------------+-------------+----------------------------------------------------------+---------------------------------------------+
|           |            |             | Wan2.7                                                   |                                             |
|           |            |             | HappyHorse-1.0                                           |                                             |
|           |            |             | Qwen3.6-27B@Qwen                                         |                                             |
|           |            |             | Qwen3.6-35B-A3B@Qwen                                     |                                             |
|           | 1048576    | [chat]      | DeepSeek-V4-Flash@deepseek-ai                            | map[clear_thinking:true default_value:true] |
|           | 1048576    | [chat]      | DeepSeek-V4-Pro@deepseek-ai                              | map[clear_thinking:true default_value:true] |
+-----------+------------+-------------+----------------------------------------------------------+---------------------------------------------+
```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-06-09 19:01:00 +08:00
Haruko386
baeb0c0431 Refactor[Go Model Provider]: refactor baseURL and modelConfig (#15627)
### What problem does this PR solve?

As Title

### Type of change

- [x] Refactoring
2026-06-04 17:50:22 +08:00
Jin Hai
d736f358ba Go: refactor model provider (#15568)
### What problem does this PR solve?

1. Add license announcement
2. Add sanity check on API config
3. Add base class: BaseModel
4. Add GetBaseURL

### Type of change

- [x] Refactoring

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-06-03 16:33:58 +08:00
Jin Hai
dbebc66ba8 Go: refactor provider code (#15564)
Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-06-03 14:09:07 +08:00
Dexterity
2819d0ea24 fix(go-models): use per call context timeouts so long streaming responses are not truncated (#15380)
### What problem does this PR solve?

Closes #15379 

Around 29 Go model providers in `internal/entity/models/` share an
`http.Client` configured with `Timeout: 120 * time.Second`, and reuse
that same client for `ChatStreamlyWithSender`. Go's
`http.Client.Timeout` is a hard ceiling on the whole request that also
covers reading the response body, so it behaves as a wall clock on
streaming. Any streamed chat response that lasts longer than 120 seconds
gets cut off in the middle with a timeout error. Long generations,
reasoning model outputs, and slow or overloaded upstreams are the common
victims.

The providers that already behave correctly (`groq`, `mistral`,
`voyage`, `anthropic`) set no client `Timeout` and instead wrap each
request in a `context.WithTimeout`. This change converges the affected
providers onto that same pattern.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

Co-authored-by: Jin Hai <haijin.chn@gmail.com>
2026-06-02 15:27:26 +08:00
Dexterity
04aa8d04e8 fix(go-models): raise SSE scanner buffer so large stream chunks are not dropped (#15382)
### Summary

Closes #15381 

Every provider in `internal/entity/models/` reads its streaming response
with `bufio.NewScanner(resp.Body)` and iterates over `scanner.Scan()`.
The default `bufio.Scanner` maximum token size is 64KB, so when an
upstream sends a single SSE `data:` line larger than 64KB (long content
deltas, large tool or function call argument blobs, bundled
`reasoning_content`, or providers that emit a whole message in one
event) `scanner.Scan()` returns `false` and `scanner.Err()` returns
`bufio.ErrTooLong`. Streaming chat then ends with an error partway
through the response.

This change adds `scanner.Buffer(make([]byte, 64*1024), 1024*1024)`
immediately after every SSE scanner that was still bare, raising the cap
to 1MB. 1MB is the value already used for streaming chat in `openai.go`,
`modelscope.go`, `groq.go`, `mistral.go`, `xai.go` and the other already
patched providers (the 8MB cap in the repo is reserved for TTS and
embedding paths), so this simply converges the remaining providers onto
the established pattern. Nothing else changes: line parsing, `data:`
prefix handling, `[DONE]` detection, JSON unmarshalling, error handling,
and the existing `scanner.Err()` checks all stay the same.

Providers covered (23 scanners across 22 files): 302ai, aliyun,
baichuan, baidu, cohere, deepinfra, deepseek, gitee, huggingface,
lmstudio, minimax (the chat scanner, whose TTS scanner was already
bumped), moonshot, nvidia, ollama, openrouter, orcarouter, paddleocr,
siliconflow, tokenhub, vllm, volcengine, xunfei, zhipu-ai. `jiekouai.go`
is excluded because it is covered by the in flight #15337.

A table driven regression test (`sse_scanner_buffer_test.go`) streams a
single 128KB `data:` content delta followed by `data: [DONE]` through an
`httptest` server and asserts that `ChatStreamlyWithSender` delivers the
full content with no error across a representative subset of providers.
Without the buffer fix the test fails with `bufio.Scanner: token too
long`.

This PR also removes three duplicate declarations of the package level
`roundTripperFunc` test helper that several recently merged provider PRs
each added independently, which had left the `internal/entity/models`
test package unable to compile. The helper now lives in a single place
and is shared.

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2026-05-29 19:34:00 +08:00
Haruko386
bf41d35729 Go: implement PaddleOCR provider and implement ASR for CoHere (#14954)
### What problem does this PR solve?

This PR implement implement OCR for Baidu and Mistral, implement
PaddleOCR provider and implement ASR for CoHere

**Verified examples from the CLI:**

```
RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text                                                                                                                                                                                                                                                             |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+


RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text                                                                                                                                                                                                                                                             |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

# PaddleOCR
RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text                                                                                                                                                                                                                                                             |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Bingxin Ke

Nando Metzger

Photogra

Anton Obukhov

Rodrigo Caye Daudt

netry and Remote Sensing,

Shengyu Huang

Konrad Schindler

ETH Zürich





<div style="text-align: c...  |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

# Cohere

RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}'
+-----------------------------------------------------------------------------------------------------------------------+
| text                                                                                                                  |
+-----------------------------------------------------------------------------------------------------------------------+
|  The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. |
+-----------------------------------------------------------------------------------------------------------------------+
```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
2026-05-15 18:41:43 +08:00
Jin Hai
3a5df08c76 Go: add file parse command (#14892)
### What problem does this PR solve?

```
RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png'
+----------------------------------------------------------+
| text                                                     |
+----------------------------------------------------------+
| 生活不是等待风暴过去,而是学会在雨中翩翩起舞。
——佚名                                                       |
+----------------------------------------------------------+

RAGFlow(user)> list 'test@gitee' tasks;
+---------+----------------------------------+
| status  | task_id                          |
+---------+----------------------------------+
| success | C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5 |
+---------+----------------------------------+
RAGFlow(user)> show 'test@gitee' task 'C3FX4MQNKY5MGC6ZFMIXIAMJKHCEBQB5';
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+
| content                                                                                                                                                                                                                                                          | index |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+
| # PDF 1: Purpose of RAGFlow  

RAGFlow is an open source Retrieval-Augmented Generation (RAG) engine designed to turn raw documents into reliable context for large language models.Its purpose is to make it practical to build an Al assistant that can ans... | 1     |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+-------+

```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-15 12:29:52 +08:00
Jin Hai
b18640d228 Go: fix OCR command (#14891)
### What problem does this PR solve?

RAGFlow(user)> ocr with 'hunyuanocr@test@gitee' file './picture.png'
+----------------------------------------------------------+
| text                                                     |
+----------------------------------------------------------+
| 生活不是等待风暴过去,而是学会在雨中翩翩起舞。

——佚名                                                       |
+----------------------------------------------------------+

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-13 17:29:53 +08:00
Jin Hai
d08bf02d9b Go: add ASR, TTS, OCR command (#14836)
### What problem does this PR solve?

```
RAGFlow(user)> asr with 'glm-asr-2512@test@zhipu-ai' audio './speech.wav';
CLI error: zhipu, no such method
RAGFlow(user)> stream asr with 'glm-asr-2512@test@zhipu-ai' audio './speech.wav';
CLI error: zhipu, no such method

RAGFlow(user)> tts with 'glm-tts@test@zhipu-ai' text 'how are you';
CLI error: zhipu, no such method

RAGFlow(user)> stream tts with 'glm-tts@test@zhipu-ai' text 'how are you';
CLI error: zhipu, no such method

RAGFlow(user)> ocr with 'glm-ocr@test@zhipu-ai' file './test.log';
CLI error: zhipu, no such method
```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-12 17:17:44 +08:00
Haruko386
128a64eae5 Refactor(Go): remove hardcode in huggingface provider (#14822)
### What problem does this PR solve?

remove hardcode in `huggingface` provider

### Type of change

- [x] Refactoring
2026-05-12 11:35:26 +08:00
Jin Hai
c55e23e7e2 Go: refactor embedding interface (#14757)
### What problem does this PR solve?

Provide embedding index according to the input text

### Type of change

- [x] Refactoring

---------

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-11 14:45:30 +08:00
Jin Hai
17d71e5d79 Go CLI: embed and rerank (#14735)
### What problem does this PR solve?

```
RAGFlow(user)> embed text 'what is rag' 'who are you' with 'embedding-3@test@zhipu-ai' dimension 16;
+-----------+-------+
| dimension | index |
+-----------+-------+
| 16        | 0     |
| 16        | 1     |
+-----------+-------+

RAGFlow(user)> rerank query 'what is rag' document 'rag is retrieval augment generation' 'rag need llm' 'famous rag project includes ragflow' with 'rerank@test@zhipu-ai' top 2;
+-------+-----------------+
| index | relevance_score |
+-------+-----------------+
| 0     | 1               |
| 2     | 0.99999976      |
+-------+-----------------+
```

### Type of change

- [x] New Feature (non-breaking change which adds functionality)

Signed-off-by: Jin Hai <haijin.chn@gmail.com>
2026-05-09 17:41:54 +08:00
Haruko386
ee0de58204 Go: implement provider: HuggingFace (#14722)
### What problem does this PR solve?

Implement `HuggingFace` provider

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2026-05-09 13:36:03 +08:00