78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
import os
|
|
import io
|
|
import base64
|
|
import torch
|
|
import numpy as np
|
|
from PIL import Image
|
|
from openai import OpenAI
|
|
|
|
class OpenAILLMNode:
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"prompt": ("STRING", {"multiline": True, "default": ""}),
|
|
"model": (["gpt-5.4", "gpt-5.4-pro", "gpt-4.1", "gpt-4.1-mini", "gpt-5", "gpt-5.2", "gpt-5-mini", "gpt-5-nano", "gpt-5.2-pro", "o1", "o3-mini"],),
|
|
"temperature": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.01}),
|
|
"reasoning_effort": (["low", "medium", "high"],),
|
|
"api_key": ("STRING", {"multiline": False, "default": "", "tooltip": "Directly put OpenAI API key or .env variable name (OPENAI_API_KEY)"}),
|
|
"max_output_tokens": ("INT", {"default": 16384, "min": 1, "max": 32768, "step": 1})
|
|
},
|
|
"optional": {
|
|
"system_instruction": ("STRING", {"multiline": True, "default": ""}),
|
|
"image": ("IMAGE",),
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("STRING",)
|
|
RETURN_NAMES = ("response",)
|
|
FUNCTION = "generate"
|
|
CATEGORY = "text/generation"
|
|
|
|
def generate(self, prompt, model, temperature, reasoning_effort, api_key, max_output_tokens,
|
|
system_instruction="", image=None):
|
|
|
|
if not prompt.strip():
|
|
raise ValueError("Prompt cannot be empty.")
|
|
|
|
key = os.environ.get(api_key.strip(), api_key.strip()) or os.environ.get("OPENAI_API_KEY")
|
|
if not key:
|
|
raise ValueError("No API key provided.")
|
|
|
|
client = OpenAI(api_key=key)
|
|
|
|
if image is not None:
|
|
content = [{"type": "input_text", "text": prompt}]
|
|
for i in range(image.shape[0]):
|
|
arr = (image[i].cpu().numpy() * 255).astype(np.uint8)
|
|
buf = io.BytesIO()
|
|
Image.fromarray(arr).save(buf, format="PNG")
|
|
b64 = base64.b64encode(buf.getvalue()).decode("utf-8")
|
|
content.append({"type": "input_image", "image_url": f"data:image/png;base64,{b64}"})
|
|
input_content = [{"role": "user", "content": content}]
|
|
else:
|
|
input_content = prompt
|
|
|
|
request_params = {
|
|
"model": model,
|
|
"input": input_content,
|
|
"temperature": temperature,
|
|
"max_output_tokens": max_output_tokens
|
|
}
|
|
|
|
if not model.startswith("gpt-4"):
|
|
request_params["reasoning"] = {"effort": reasoning_effort}
|
|
else:
|
|
print(f"Skipping reasoning parameter for {model} (not supported)")
|
|
|
|
if system_instruction.strip():
|
|
request_params["instructions"] = system_instruction
|
|
|
|
response = client.responses.create(**request_params)
|
|
|
|
return (response.output_text,)
|
|
|
|
|
|
NODE_CLASS_MAPPINGS = {"OpenAILLMNode": OpenAILLMNode}
|
|
NODE_DISPLAY_NAME_MAPPINGS = {"OpenAILLMNode": "OpenAI LLM"} |