Support images, plugins, search Q&A
Browse files
main.py
CHANGED
|
@@ -51,12 +51,34 @@ def load_config():
|
|
| 51 |
config = load_config()
|
| 52 |
# print(config)
|
| 53 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 54 |
class ContentItem(BaseModel):
|
| 55 |
type: str
|
| 56 |
-
text: str
|
|
|
|
| 57 |
|
| 58 |
class Message(BaseModel):
|
| 59 |
role: str
|
|
|
|
| 60 |
content: Union[str, List[ContentItem]]
|
| 61 |
|
| 62 |
class RequestModel(BaseModel):
|
|
@@ -66,10 +88,20 @@ class RequestModel(BaseModel):
|
|
| 66 |
top_logprobs: Optional[int] = None
|
| 67 |
stream: Optional[bool] = None
|
| 68 |
include_usage: Optional[bool] = None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 69 |
|
| 70 |
async def fetch_response_stream(client, url, headers, payload):
|
| 71 |
async with client.stream('POST', url, headers=headers, json=payload) as response:
|
| 72 |
async for chunk in response.aiter_bytes():
|
|
|
|
| 73 |
yield chunk
|
| 74 |
|
| 75 |
async def fetch_response(client, url, headers, payload):
|
|
@@ -88,37 +120,36 @@ async def process_request(request: RequestModel, provider: Dict):
|
|
| 88 |
messages = []
|
| 89 |
for msg in request.messages:
|
| 90 |
if isinstance(msg.content, list):
|
| 91 |
-
content =
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 92 |
else:
|
| 93 |
content = msg.content
|
| 94 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
|
| 96 |
payload = {
|
| 97 |
"model": request.model,
|
| 98 |
"messages": messages
|
| 99 |
}
|
| 100 |
|
| 101 |
-
|
| 102 |
-
|
| 103 |
-
|
| 104 |
-
payload["stream"] = request.stream
|
| 105 |
-
if request.include_usage is not None:
|
| 106 |
-
payload["include_usage"] = request.include_usage
|
| 107 |
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
payload["top_logprobs"] = request.top_logprobs
|
| 115 |
-
|
| 116 |
-
# request_info = {
|
| 117 |
-
# "url": url,
|
| 118 |
-
# "headers": headers,
|
| 119 |
-
# "payload": payload
|
| 120 |
-
# }
|
| 121 |
-
# print(f"Request details: {json.dumps(request_info, indent=2, ensure_ascii=False)}")
|
| 122 |
if request.stream:
|
| 123 |
return StreamingResponse(fetch_response_stream(app.state.client, url, headers, payload), media_type="text/event-stream")
|
| 124 |
else:
|
|
@@ -134,7 +165,7 @@ class ModelRequestHandler:
|
|
| 134 |
async def request_model(self, request: RequestModel, token: str):
|
| 135 |
model_name = request.model
|
| 136 |
matching_providers = self.get_matching_providers(model_name)
|
| 137 |
-
print("matching_providers", json.dumps(matching_providers, indent=2, ensure_ascii=False))
|
| 138 |
|
| 139 |
if not matching_providers:
|
| 140 |
raise HTTPException(status_code=404, detail="No matching model found")
|
|
|
|
| 51 |
config = load_config()
|
| 52 |
# print(config)
|
| 53 |
|
| 54 |
+
# 定义 Function 参数模型
|
| 55 |
+
class FunctionParameter(BaseModel):
|
| 56 |
+
type: str
|
| 57 |
+
properties: Dict[str, Dict[str, str]]
|
| 58 |
+
required: List[str]
|
| 59 |
+
|
| 60 |
+
# 定义 Function 模型
|
| 61 |
+
class Function(BaseModel):
|
| 62 |
+
name: str
|
| 63 |
+
description: str
|
| 64 |
+
parameters: FunctionParameter
|
| 65 |
+
|
| 66 |
+
# 定义 Tool 模型
|
| 67 |
+
class Tool(BaseModel):
|
| 68 |
+
type: str
|
| 69 |
+
function: Function
|
| 70 |
+
|
| 71 |
+
class ImageUrl(BaseModel):
|
| 72 |
+
url: str
|
| 73 |
+
|
| 74 |
class ContentItem(BaseModel):
|
| 75 |
type: str
|
| 76 |
+
text: Optional[str] = None
|
| 77 |
+
image_url: Optional[ImageUrl] = None
|
| 78 |
|
| 79 |
class Message(BaseModel):
|
| 80 |
role: str
|
| 81 |
+
name: Optional[str] = None
|
| 82 |
content: Union[str, List[ContentItem]]
|
| 83 |
|
| 84 |
class RequestModel(BaseModel):
|
|
|
|
| 88 |
top_logprobs: Optional[int] = None
|
| 89 |
stream: Optional[bool] = None
|
| 90 |
include_usage: Optional[bool] = None
|
| 91 |
+
temperature: Optional[float] = 0.5
|
| 92 |
+
top_p: Optional[float] = 1.0
|
| 93 |
+
max_tokens: Optional[int] = None
|
| 94 |
+
presence_penalty: Optional[float] = 0.0
|
| 95 |
+
frequency_penalty: Optional[float] = 0.0
|
| 96 |
+
n: Optional[int] = 1
|
| 97 |
+
user: Optional[str] = None
|
| 98 |
+
tool_choice: Optional[str] = None
|
| 99 |
+
tools: Optional[List[Tool]] = None
|
| 100 |
|
| 101 |
async def fetch_response_stream(client, url, headers, payload):
|
| 102 |
async with client.stream('POST', url, headers=headers, json=payload) as response:
|
| 103 |
async for chunk in response.aiter_bytes():
|
| 104 |
+
print(chunk.decode('utf-8'))
|
| 105 |
yield chunk
|
| 106 |
|
| 107 |
async def fetch_response(client, url, headers, payload):
|
|
|
|
| 120 |
messages = []
|
| 121 |
for msg in request.messages:
|
| 122 |
if isinstance(msg.content, list):
|
| 123 |
+
content = []
|
| 124 |
+
for item in msg.content:
|
| 125 |
+
if item.type == "text":
|
| 126 |
+
content.append({"type": "text", "text": item.text})
|
| 127 |
+
elif item.type == "image_url":
|
| 128 |
+
content.append({"type": "image_url", "image_url": item.image_url.dict()})
|
| 129 |
else:
|
| 130 |
content = msg.content
|
| 131 |
+
name = msg.name
|
| 132 |
+
if name:
|
| 133 |
+
messages.append({"role": msg.role, "name": name, "content": content})
|
| 134 |
+
else:
|
| 135 |
+
messages.append({"role": msg.role, "content": content})
|
| 136 |
+
|
| 137 |
|
| 138 |
payload = {
|
| 139 |
"model": request.model,
|
| 140 |
"messages": messages
|
| 141 |
}
|
| 142 |
|
| 143 |
+
for field, value in request.dict(exclude_unset=True).items():
|
| 144 |
+
if field not in ['model', 'messages'] and value is not None:
|
| 145 |
+
payload[field] = value
|
|
|
|
|
|
|
|
|
|
| 146 |
|
| 147 |
+
request_info = {
|
| 148 |
+
"url": url,
|
| 149 |
+
"headers": headers,
|
| 150 |
+
"payload": payload
|
| 151 |
+
}
|
| 152 |
+
print(f"Request details: {json.dumps(request_info, indent=2, ensure_ascii=False)}")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 153 |
if request.stream:
|
| 154 |
return StreamingResponse(fetch_response_stream(app.state.client, url, headers, payload), media_type="text/event-stream")
|
| 155 |
else:
|
|
|
|
| 165 |
async def request_model(self, request: RequestModel, token: str):
|
| 166 |
model_name = request.model
|
| 167 |
matching_providers = self.get_matching_providers(model_name)
|
| 168 |
+
# print("matching_providers", json.dumps(matching_providers, indent=2, ensure_ascii=False))
|
| 169 |
|
| 170 |
if not matching_providers:
|
| 171 |
raise HTTPException(status_code=404, detail="No matching model found")
|