feat: 模型视觉多模态支持

pkg/provider/modelmgr/apis/deepseekchatcmpl.py

@@ -3,7 +3,10 @@ from __future__ import annotations
 from ....core import app
 
 from . import chatcmpl
-from .. import api
+from .. import api, entities, errors
+from ....core import entities as core_entities, app
+from ... import entities as llm_entities
+from ...tools import entities as tools_entities
 
 
 @api.requester_class("deepseek-chat-completions")
@@ -12,4 +15,39 @@ class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
 
     def __init__(self, ap: app.Application):
         self.requester_cfg = ap.provider_cfg.data['requester']['deepseek-chat-completions']
-        self.ap = ap
+        self.ap = ap
+
+    async def _closure(
+        self,
+        req_messages: list[dict],
+        use_model: entities.LLMModelInfo,
+        use_funcs: list[tools_entities.LLMFunction] = None,
+    ) -> llm_entities.Message:
+        self.client.api_key = use_model.token_mgr.get_token()
+
+        args = self.requester_cfg['args'].copy()
+        args["model"] = use_model.name if use_model.model_name is None else use_model.model_name
+
+        if use_model.tool_call_supported:
+            tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
+
+            if tools:
+                args["tools"] = tools
+
+        # 设置此次请求中的messages
+        messages = req_messages
+
+        # deepseek 不支持多模态，把content都转换成纯文字
+        for m in messages:
+            if isinstance(m["content"], list):
+                m["content"] = " ".join([c["text"] for c in m["content"]])
+
+        args["messages"] = messages
+
+        # 发送请求
+        resp = await self._req(args)
+
+        # 处理请求结果
+        message = await self._make_msg(resp)
+
+        return message