log errors openai
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+22
-8
@@ -299,8 +299,8 @@ class AQ_Gemini_acstep15:
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"custom_model": ("STRING", {"default": "", "multiline": False}),
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"prompt": ("STRING", {"default": "", "multiline": True}),
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"system_message": ("STRING", {"default": "You are a helpful assistant.", "multiline": True}),
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"temperature": ("FLOAT", {"default": 1, "min": 0.0, "max": 2.0, "step": 0.05}),
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"top_p": ("FLOAT", {"default": 0.95, "min": 0.0, "max": 1.0, "step": 0.01}),
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"temperature": ("FLOAT", {"default": 1, "min": -1.0, "max": 2.0, "step": 0.05}),
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"top_p": ("FLOAT", {"default": 0.95, "min": -1.0, "max": 1.0, "step": 0.01}),
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"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff, "control_after_generate": True}),
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},
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"optional": {
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@@ -318,6 +318,7 @@ class AQ_Gemini_acstep15:
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"COMBO",
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"COMBO",
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"COMBO",
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"STRING",
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)
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RETURN_NAMES = (
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"response_json",
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@@ -329,6 +330,7 @@ class AQ_Gemini_acstep15:
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"timesignature",
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"language",
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"keyscale",
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"instruction",
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)
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FUNCTION = "generate"
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CATEGORY = "Aquasite/LLM"
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@@ -589,8 +591,18 @@ class AQ_OpenAI_acstep15:
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CATEGORY = "Aquasite/LLM"
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def generate(self, openai_api_key, model, custom_model, prompt, system_message, temperature=0.8, top_p=0.95, seed=0, verbosity="medium", reasoning_effort="medium", image=None):
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instruction = (
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"AQ_OpenAI_acstep15 node:\n"
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"- Uses OpenAI Responses API with JSON schema output.\n"
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"- Provide prompt + optional image, returns fields suitable for TextEncodeAceStepAudio15.\n"
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"- If temperature or top_p is negative, that parameter is omitted from the request.\n"
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"- verbosity: none|low|medium|high (none omits).\n"
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"- reasoning_effort: none|minimal|low|medium|high (none omits).\n"
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"- response_json contains the raw JSON output (or error JSON).\n"
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"- tags/lyrics/bpm/duration/timesignature/language/keyscale are parsed from JSON."
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)
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if not openai_api_key:
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return ("", "", "", seed, 120, 120.0, "4", "en", "C major")
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return ("", "", "", seed, 120, 120.0, "4", "en", "C major", instruction)
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schema = {
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"type": "object",
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@@ -693,12 +705,14 @@ class AQ_OpenAI_acstep15:
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"schema": schema
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}
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},
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"temperature": temperature,
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"top_p": top_p,
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"tools": [],
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"store": False,
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"include": []
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}
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if temperature is not None and temperature >= 0:
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payload["temperature"] = temperature
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if top_p is not None and top_p >= 0:
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payload["top_p"] = top_p
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if verbosity != "none":
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payload["text"]["verbosity"] = verbosity
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if reasoning_effort != "none":
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@@ -723,7 +737,7 @@ class AQ_OpenAI_acstep15:
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"body": response.text
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}
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})
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return (error_json, "", "", seed, 120, 120.0, "4", "en", "C major")
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return (error_json, "", "", seed, 120, 120.0, "4", "en", "C major", instruction)
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response.raise_for_status()
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data = response.json()
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@@ -765,11 +779,11 @@ class AQ_OpenAI_acstep15:
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"language": language
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})
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return (response_json, tags, lyrics, seed_value, bpm, duration, timesignature, language, keyscale)
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return (response_json, tags, lyrics, seed_value, bpm, duration, timesignature, language, keyscale, instruction)
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except Exception as e:
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print(f"Error in OpenAI API: {str(e)}")
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error_json = json.dumps({"error": str(e)})
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return (error_json, "", "", seed, 120, 120.0, "4", "en", "C major")
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return (error_json, "", "", seed, 120, 120.0, "4", "en", "C major", instruction)
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def prepare_json(self, text):
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text = text.replace("```json", "").replace("```", "").strip()
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