mirror of
https://github.com/arc53/DocsGPT.git
synced 2025-11-29 08:33:20 +00:00
132 lines
4.7 KiB
Python
132 lines
4.7 KiB
Python
import json
|
|
import sys
|
|
|
|
from application.core.settings import settings
|
|
from application.llm.base import BaseLLM
|
|
|
|
|
|
class DocsGPTAPILLM(BaseLLM):
|
|
|
|
def __init__(self, api_key=None, user_api_key=None, *args, **kwargs):
|
|
from openai import OpenAI
|
|
|
|
super().__init__(*args, **kwargs)
|
|
self.client = OpenAI(api_key="sk-docsgpt-public", base_url="https://oai.arc53.com")
|
|
self.user_api_key = user_api_key
|
|
self.api_key = api_key
|
|
|
|
def _clean_messages_openai(self, messages):
|
|
cleaned_messages = []
|
|
for message in messages:
|
|
role = message.get("role")
|
|
content = message.get("content")
|
|
|
|
if role == "model":
|
|
role = "assistant"
|
|
|
|
if role and content is not None:
|
|
if isinstance(content, str):
|
|
cleaned_messages.append({"role": role, "content": content})
|
|
elif isinstance(content, list):
|
|
for item in content:
|
|
if "text" in item:
|
|
cleaned_messages.append(
|
|
{"role": role, "content": item["text"]}
|
|
)
|
|
elif "function_call" in item:
|
|
tool_call = {
|
|
"id": item["function_call"]["call_id"],
|
|
"type": "function",
|
|
"function": {
|
|
"name": item["function_call"]["name"],
|
|
"arguments": json.dumps(
|
|
item["function_call"]["args"]
|
|
),
|
|
},
|
|
}
|
|
cleaned_messages.append(
|
|
{
|
|
"role": "assistant",
|
|
"content": None,
|
|
"tool_calls": [tool_call],
|
|
}
|
|
)
|
|
elif "function_response" in item:
|
|
cleaned_messages.append(
|
|
{
|
|
"role": "tool",
|
|
"tool_call_id": item["function_response"][
|
|
"call_id"
|
|
],
|
|
"content": json.dumps(
|
|
item["function_response"]["response"]["result"]
|
|
),
|
|
}
|
|
)
|
|
else:
|
|
raise ValueError(
|
|
f"Unexpected content dictionary format: {item}"
|
|
)
|
|
else:
|
|
raise ValueError(f"Unexpected content type: {type(content)}")
|
|
|
|
return cleaned_messages
|
|
|
|
def _raw_gen(
|
|
self,
|
|
baseself,
|
|
model,
|
|
messages,
|
|
stream=False,
|
|
tools=None,
|
|
engine=settings.AZURE_DEPLOYMENT_NAME,
|
|
**kwargs,
|
|
):
|
|
messages = self._clean_messages_openai(messages)
|
|
if tools:
|
|
response = self.client.chat.completions.create(
|
|
model="docsgpt",
|
|
messages=messages,
|
|
stream=stream,
|
|
tools=tools,
|
|
**kwargs,
|
|
)
|
|
return response.choices[0]
|
|
else:
|
|
response = self.client.chat.completions.create(
|
|
model="docsgpt", messages=messages, stream=stream, **kwargs
|
|
)
|
|
return response.choices[0].message.content
|
|
|
|
def _raw_gen_stream(
|
|
self,
|
|
baseself,
|
|
model,
|
|
messages,
|
|
stream=True,
|
|
tools=None,
|
|
engine=settings.AZURE_DEPLOYMENT_NAME,
|
|
**kwargs,
|
|
):
|
|
messages = self._clean_messages_openai(messages)
|
|
if tools:
|
|
response = self.client.chat.completions.create(
|
|
model="docsgpt",
|
|
messages=messages,
|
|
stream=stream,
|
|
tools=tools,
|
|
**kwargs,
|
|
)
|
|
else:
|
|
response = self.client.chat.completions.create(
|
|
model="docsgpt", messages=messages, stream=stream, **kwargs
|
|
)
|
|
|
|
for line in response:
|
|
if len(line.choices) > 0 and line.choices[0].delta.content is not None and len(line.choices[0].delta.content) > 0:
|
|
yield line.choices[0].delta.content
|
|
elif len(line.choices) > 0:
|
|
yield line.choices[0]
|
|
|
|
def _supports_tools(self):
|
|
return True |