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fix: generate summary error when tokens=4097 (#488)
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@ -45,7 +45,7 @@ class LLMGenerator:
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prompt = CONVERSATION_SUMMARY_PROMPT
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prompt_with_empty_context = prompt.format(context='')
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prompt_tokens = TokenCalculator.get_num_tokens(model, prompt_with_empty_context)
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rest_tokens = llm_constant.max_context_token_length[model] - prompt_tokens - max_tokens
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rest_tokens = llm_constant.max_context_token_length[model] - prompt_tokens - max_tokens - 1
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context = ''
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for message in messages:
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@ -56,6 +56,9 @@ class LLMGenerator:
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if rest_tokens - TokenCalculator.get_num_tokens(model, context + message_qa_text) > 0:
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context += message_qa_text
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if not context:
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return '[message too long, no summary]'
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prompt = prompt.format(context=context)
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llm: StreamableOpenAI = LLMBuilder.to_llm(
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@ -28,7 +28,7 @@ def generate_conversation_summary_task(conversation_id: str):
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try:
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# get conversation messages count
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history_message_count = conversation.message_count
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if history_message_count >= 5:
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if history_message_count >= 5 and not conversation.summary:
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app_model = conversation.app
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if not app_model:
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return
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