ADD 增加llm节点

__init__.py

@@ -1,3 +1,4 @@
+from .nodes.llm_api import LLMChat
 from .nodes.compute_video_point import VideoStartPointDurationCompute
 from .nodes.cos import COSUpload, COSDownload
 from .nodes.face_detect import FaceDetect
@@ -63,7 +64,8 @@ NODE_CLASS_MAPPINGS = {
     "TaskIdGenerate": TaskIdGenerate,
     "RandomLineSelector": RandomLineSelector,
     "PlugAndPlayWebhook": PlugAndPlayWebhook,
-    "SaveImageWithOutput": SaveImageWithOutput
+    "SaveImageWithOutput": SaveImageWithOutput,
+    "LLMChat": LLMChat
 }
 
 # A dictionary that contains the friendly/humanly readable titles for the nodes
@@ -101,6 +103,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "TaskIdGenerate": "TaskID生成器",
     "RandomLineSelector": "随机选择一行内容",
     "PlugAndPlayWebhook": "Webhook转发器",
-    "SaveImageWithOutput": "保存图片(带输出)"
-
+    "SaveImageWithOutput": "保存图片(带输出)",
+    "LLMChat": "LLM调用"
 }

nodes/llm_api.py

@@ -0,0 +1,81 @@
+# LLM API 通过cloudflare gateway调用llm
+import re
+from typing import Any, Union
+
+import httpx
+from retry import retry
+
+
+def find_value_recursive(key:str, data:Union[dict, list]) -> str | None | Any:
+    if isinstance(data, dict):
+        if key in data:
+            return data[key]
+        # 递归检查所有其他键的值
+        for value in data.values():
+            result = find_value_recursive(key, value)
+            if result is not None:
+                return result
+    elif isinstance(data, list):
+        for item in data:
+            result = find_value_recursive(key, item)
+            if result is not None:
+                return result
+
+class LLMChat:
+    """AWS S3下载"""
+
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "llm_provider": (["claude-3-5-sonnet-20241022-v2",
+                                  "claude-3-5-sonnet-20241022-v3",
+                                  "claude-3-7-sonnet-20250219-v1",
+                                  "claude-4-sonnet-20250514-v1",
+                                  "gpt-4o-1120",
+                                  "gpt-4.1",
+                                  "deepseek-v3",
+                                  "deepseek-r1"],),
+                "prompt": ("STRING", {"multiline": True}),
+                "temperature": ("FLOAT",{"default": 0.7, "min": 0.0, "max": 1.0}),
+                "max_tokens": ("INT",{"default": 4096, "min":1, "max":65535}),
+                "timeout": ("INT", {"default": 120, "min": 30, "max": 900}),
+            }
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("llm输出",)
+    FUNCTION = "chat"
+    CATEGORY = "不忘科技-自定义节点🚩/llm"
+
+    def chat(self, llm_provider:str, prompt:str, temperature:float, max_tokens:int, timeout:int):
+        @retry(Exception, tries=3, delay=1)
+        def _chat():
+            try:
+                with httpx.Client(timeout=httpx.Timeout(timeout, connect=15)) as session:
+                    resp = session.post("https://gateway.bowong.cc/chat/completions",
+                                 headers={
+                                     "Content-Type": "application/json",
+                                      "Accept": "application/json",
+                                      "Authorization": "Bearer auth-bowong7777"
+                                 },
+                                 json={
+                                     "model": llm_provider,
+                                     "messages": [
+                                         {
+                                             "role": "user",
+                                             "content": prompt
+                                         }
+                                     ],
+                                     "temperature": temperature,
+                                     "max_tokens": max_tokens
+                                 })
+                    resp.raise_for_status()
+                    resp = resp.json()
+                    content = find_value_recursive("content", resp)
+                    content = re.sub(r'\n{2,}', '\n', content)
+            except Exception as e:
+                # logger.exception("llm调用失败 {}".format(e))
+                raise Exception("llm调用失败 {}".format(e))
+            return (content,)
+        return _chat()

requirements.txt

@@ -9,4 +9,5 @@ sqlalchemy
 tencentcloud-sdk-python
 boto3
 loguru
-pyYAML
+pyYAML
+retry