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https://github.com/princeton-nlp/tree-of-thought-llm
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Merge pull request #70 from ltn18/gpt4o
[feature] Tree-of-Thought with GPT-4o
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commit
8050e67d0e
2
run.py
2
run.py
@ -42,7 +42,7 @@ def run(args):
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def parse_args():
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args = argparse.ArgumentParser()
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args.add_argument('--backend', type=str, choices=['gpt-4', 'gpt-3.5-turbo'], default='gpt-4')
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args.add_argument('--backend', type=str, choices=['gpt-4', 'gpt-3.5-turbo', 'gpt-4o'], default='gpt-4')
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args.add_argument('--temperature', type=float, default=0.7)
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args.add_argument('--task', type=str, required=True, choices=['game24', 'text', 'crosswords'])
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@ -30,10 +30,10 @@ def chatgpt(messages, model="gpt-4", temperature=0.7, max_tokens=1000, n=1, stop
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cnt = min(n, 20)
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n -= cnt
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res = completions_with_backoff(model=model, messages=messages, temperature=temperature, max_tokens=max_tokens, n=cnt, stop=stop)
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outputs.extend([choice["message"]["content"] for choice in res["choices"]])
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outputs.extend([choice.message.content for choice in res.choices])
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# log completion tokens
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completion_tokens += res["usage"]["completion_tokens"]
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prompt_tokens += res["usage"]["prompt_tokens"]
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completion_tokens += res.usage.completion_tokens
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prompt_tokens += res.usage.prompt_tokens
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return outputs
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def gpt_usage(backend="gpt-4"):
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@ -42,4 +42,6 @@ def gpt_usage(backend="gpt-4"):
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cost = completion_tokens / 1000 * 0.06 + prompt_tokens / 1000 * 0.03
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elif backend == "gpt-3.5-turbo":
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cost = completion_tokens / 1000 * 0.002 + prompt_tokens / 1000 * 0.0015
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elif backend == "gpt-4o":
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cost = completion_tokens / 1000 * 0.00250 + prompt_tokens / 1000 * 0.01
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return {"completion_tokens": completion_tokens, "prompt_tokens": prompt_tokens, "cost": cost}
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