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Trying to optimize

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AllfatherHatt 2025-02-21 02:44:57 +01:00
parent 79d0d92a29
commit a2aab13fb8
1 changed files with 7 additions and 9 deletions
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16
reginaldCog/reginald.py
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@ -14,7 +14,7 @@ class ReginaldCog(commands.Cog):
self.bot = bot
self.config = Config.get_conf(self, identifier=71717171171717)
self.memory_locks = {} # ✅ Prevents race conditions per channel
self.short_term_memory_limit = 100 # Default value, can be changed dynamically
self.short_term_memory_limit = 30 # Default value, can be changed dynamically
# ✅ Properly Registered Configuration Keys
default_global = {"openai_model": "gpt-4o-mini"}
@ -140,17 +140,15 @@ class ReginaldCog(commands.Cog):
async def summarize_memory(self, ctx, messages):
"""✅ Generates a summary of past conversations for mid-term storage."""
summary_prompt = (
"Summarize the following conversation with a focus on efficiency and clarity. "
"Compress information intelligently—prioritize key details, decisions, unique insights, and user contributions. "
"Maintain resolution: avoid excessive generalization. "
"Structure the summary into distinct topics with clear subpoints. "
"Ensure that individual opinions, disagreements, and conclusions are retained. "
"If multiple topics exist, separate them clearly rather than blending them into one. "
"Omit filler words, excessive pleasantries, and redundant phrases. "
"Ensure the summary is direct, well-structured, and information-dense."
"Condense the following conversation into an efficient, structured summary that maximizes information density while minimizing token usage. "
"Focus on key insights, decisions, disputes, and facts, ensuring clarity and conciseness without excessive detail. "
"Categorize information into: (1) Agreed Conclusions, (2) Disputed Points, (3) Notable User Contributions, and (4) Miscellaneous Context. "
"Avoid unnecessary flavor text but ensure all critical meaning and context are retained. Summarize each topic distinctly, avoiding generalization. "
"Prioritize compression while keeping essential nuances intact."
)
summary_text = "\n".join(f"{msg['user']}: {msg['content']}" for msg in messages)
try: