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Feat: add CometAPI to LLMFactory and update related mappings (#10119)

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### Related issues
#10078

### What problem does this PR solve?
Integrate CometAPI provider.

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
- [x] Documentation Update
This commit is contained in:
TensorNull
2025-09-18 09:51:29 +08:00
committed by GitHub
parent 80ede65bbe
commit f12b9fdcd4
9 changed files with 315 additions and 2 deletions
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269
conf/llm_factories.json
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@ -689,7 +689,7 @@
}, },
{ {
"llm_name": "glm-4", "llm_name": "glm-4",
"tags":"LLM,CHAT,128K", "tags": "LLM,CHAT,128K",
"max_tokens": 128000, "max_tokens": 128000,
"model_type": "chat", "model_type": "chat",
"is_tools": true "is_tools": true
@ -4541,6 +4541,273 @@
} }
] ]
}, },
{
"name": "CometAPI",
"logo": "",
"tags": "LLM,TEXT EMBEDDING,IMAGE2TEXT",
"status": "1",
"llm": [
{
"llm_name": "gpt-5-chat-latest",
"tags": "LLM,CHAT,400k",
"max_tokens": 400000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "chatgpt-4o-latest",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-5-mini",
"tags": "LLM,CHAT,400k",
"max_tokens": 400000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-5-nano",
"tags": "LLM,CHAT,400k",
"max_tokens": 400000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-5",
"tags": "LLM,CHAT,400k",
"max_tokens": 400000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-4.1-mini",
"tags": "LLM,CHAT,1M",
"max_tokens": 1047576,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-4.1-nano",
"tags": "LLM,CHAT,1M",
"max_tokens": 1047576,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-4.1",
"tags": "LLM,CHAT,1M",
"max_tokens": 1047576,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gpt-4o-mini",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "o4-mini-2025-04-16",
"tags": "LLM,CHAT,200k",
"max_tokens": 200000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "o3-pro-2025-06-10",
"tags": "LLM,CHAT,200k",
"max_tokens": 200000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "claude-opus-4-1-20250805",
"tags": "LLM,CHAT,200k,IMAGE2TEXT",
"max_tokens": 200000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "claude-opus-4-1-20250805-thinking",
"tags": "LLM,CHAT,200k,IMAGE2TEXT",
"max_tokens": 200000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "claude-sonnet-4-20250514",
"tags": "LLM,CHAT,200k,IMAGE2TEXT",
"max_tokens": 200000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "claude-sonnet-4-20250514-thinking",
"tags": "LLM,CHAT,200k,IMAGE2TEXT",
"max_tokens": 200000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "claude-3-7-sonnet-latest",
"tags": "LLM,CHAT,200k",
"max_tokens": 200000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "claude-3-5-haiku-latest",
"tags": "LLM,CHAT,200k",
"max_tokens": 200000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "gemini-2.5-pro",
"tags": "LLM,CHAT,1M,IMAGE2TEXT",
"max_tokens": 1000000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "gemini-2.5-flash",
"tags": "LLM,CHAT,1M,IMAGE2TEXT",
"max_tokens": 1000000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "gemini-2.5-flash-lite",
"tags": "LLM,CHAT,1M,IMAGE2TEXT",
"max_tokens": 1000000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "gemini-2.0-flash",
"tags": "LLM,CHAT,1M,IMAGE2TEXT",
"max_tokens": 1000000,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "grok-4-0709",
"tags": "LLM,CHAT,131k",
"max_tokens": 131072,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "grok-3",
"tags": "LLM,CHAT,131k",
"max_tokens": 131072,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "grok-3-mini",
"tags": "LLM,CHAT,131k",
"max_tokens": 131072,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "grok-2-image-1212",
"tags": "LLM,CHAT,32k,IMAGE2TEXT",
"max_tokens": 32768,
"model_type": "image2text",
"is_tools": true
},
{
"llm_name": "deepseek-v3.1",
"tags": "LLM,CHAT,64k",
"max_tokens": 64000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-v3",
"tags": "LLM,CHAT,64k",
"max_tokens": 64000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-r1-0528",
"tags": "LLM,CHAT,164k",
"max_tokens": 164000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-chat",
"tags": "LLM,CHAT,32k",
"max_tokens": 32000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "deepseek-reasoner",
"tags": "LLM,CHAT,64k",
"max_tokens": 64000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "qwen3-30b-a3b",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "qwen3-coder-plus-2025-07-22",
"tags": "LLM,CHAT,128k",
"max_tokens": 128000,
"model_type": "chat",
"is_tools": true
},
{
"llm_name": "text-embedding-ada-002",
"tags": "TEXT EMBEDDING,8K",
"max_tokens": 8191,
"model_type": "embedding",
"is_tools": false
},
{
"llm_name": "text-embedding-3-small",
"tags": "TEXT EMBEDDING,8K",
"max_tokens": 8191,
"model_type": "embedding",
"is_tools": false
},
{
"llm_name": "text-embedding-3-large",
"tags": "TEXT EMBEDDING,8K",
"max_tokens": 8191,
"model_type": "embedding",
"is_tools": false
},
{
"llm_name": "whisper-1",
"tags": "SPEECH2TEXT",
"max_tokens": 26214400,
"model_type": "speech2text",
"is_tools": false
},
{
"llm_name": "tts-1",
"tags": "TTS",
"max_tokens": 2048,
"model_type": "tts",
"is_tools": false
}
]
},
{ {
"name": "Meituan", "name": "Meituan",
"logo": "", "logo": "",

1
docs/references/supported_models.mdx
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@ -65,6 +65,7 @@ A complete list of models supported by RAGFlow, which will continue to expand.
| 01.AI | :heavy_check_mark: | | | | | | | 01.AI | :heavy_check_mark: | | | | | |
| DeepInfra | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: | | DeepInfra | :heavy_check_mark: | :heavy_check_mark: | | | :heavy_check_mark: | :heavy_check_mark: |
| 302.AI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | | | 302.AI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
| CometAPI | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | | |
```mdx-code-block ```mdx-code-block
</APITable> </APITable>

9
rag/llm/chat_model.py
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@ -1356,6 +1356,15 @@ class Ai302Chat(Base):
super().__init__(key, model_name, base_url, **kwargs) super().__init__(key, model_name, base_url, **kwargs)
class CometChat(Base):
_FACTORY_NAME = "CometAPI"
def __init__(self, key, model_name, base_url="https://api.cometapi.com/v1", **kwargs):
if not base_url:
base_url = "https://api.cometapi.com/v1"
super().__init__(key, model_name, base_url, **kwargs)
class TokenPonyChat(Base): class TokenPonyChat(Base):
_FACTORY_NAME = "TokenPony" _FACTORY_NAME = "TokenPony"

9
rag/llm/embedding_model.py
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@ -958,3 +958,12 @@ class Ai302Embed(Base):
if not base_url: if not base_url:
base_url = "https://api.302.ai/v1/embeddings" base_url = "https://api.302.ai/v1/embeddings"
super().__init__(key, model_name, base_url) super().__init__(key, model_name, base_url)
class CometEmbed(Base):
_FACTORY_NAME = "CometAPI"
def __init__(self, key, model_name, base_url="https://api.cometapi.com/v1/embeddings"):
if not base_url:
base_url = "https://api.cometapi.com/v1/embeddings"
super().__init__(key, model_name, base_url)

10
rag/llm/sequence2txt_model.py
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@ -234,3 +234,13 @@ class DeepInfraSeq2txt(Base):
self.client = OpenAI(api_key=key, base_url=base_url) self.client = OpenAI(api_key=key, base_url=base_url)
self.model_name = model_name self.model_name = model_name
class CometSeq2txt(Base):
_FACTORY_NAME = "CometAPI"
def __init__(self, key, model_name="whisper-1", base_url="https://api.cometapi.com/v1", **kwargs):
if not base_url:
base_url = "https://api.cometapi.com/v1"
self.client = OpenAI(api_key=key, base_url=base_url)
self.model_name = model_name

8
rag/llm/tts_model.py
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@ -394,3 +394,11 @@ class DeepInfraTTS(OpenAITTS):
if not base_url: if not base_url:
base_url = "https://api.deepinfra.com/v1/openai" base_url = "https://api.deepinfra.com/v1/openai"
super().__init__(key, model_name, base_url, **kwargs) super().__init__(key, model_name, base_url, **kwargs)
class CometAPITTS(OpenAITTS):
_FACTORY_NAME = "CometAPI"
def __init__(self, key, model_name, base_url="https://api.cometapi.com/v1", **kwargs):
if not base_url:
base_url = "https://api.cometapi.com/v1"
super().__init__(key, model_name, base_url, **kwargs)

6
web/src/assets/svg/llm/cometapi.svg Normal file
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2
web/src/constants/llm.ts
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@ -56,6 +56,7 @@ export enum LLMFactory {
XAI = 'xAI', XAI = 'xAI',
TokenPony = 'TokenPony', TokenPony = 'TokenPony',
Meituan = 'Meituan', Meituan = 'Meituan',
CometAPI = 'CometAPI',
} }
// Please lowercase the file name // Please lowercase the file name
@ -117,4 +118,5 @@ export const IconMap = {
[LLMFactory.XAI]: 'xai', [LLMFactory.XAI]: 'xai',
[LLMFactory.TokenPony]: 'token-pony', [LLMFactory.TokenPony]: 'token-pony',
[LLMFactory.Meituan]: 'longcat', [LLMFactory.Meituan]: 'longcat',
[LLMFactory.CometAPI]: 'cometapi',
}; };

1
web/src/utils/common-util.ts
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@ -44,6 +44,7 @@ const orderFactoryList = [
LLMFactory.Ollama, LLMFactory.Ollama,
LLMFactory.Xinference, LLMFactory.Xinference,
LLMFactory.Ai302, LLMFactory.Ai302,
LLMFactory.CometAPI,
]; ];
export const sortLLmFactoryListBySpecifiedOrder = (list: IFactory[]) => { export const sortLLmFactoryListBySpecifiedOrder = (list: IFactory[]) => {