[Question]: Automated Context Summarization for Token Limit Management About: #5845
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MJUrian-Learner
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Can anyone clarify this for me? |
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What is your question?
Does LibreChat support automated context summarization (e.g., recursively condensing prior interactions) when token limits are exceeded, or does it rely solely on truncating older messages? Does it recursively summarize messages that will not fit?
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Example Scenario:
A user starts a conversation about Python programming (e.g., 20 messages).
After reaching the token limit (e.g., GPT-4’s 128k window), LibreChat truncates or summarizes the oldest messages (Messages 1–10).
The AI loses critical context (e.g., the original goal of "building a Python tutorial"), leading to incoherent replies.
Technical Context:
AI models like GPT-4 have fixed token limits, and truncation is the default workaround.
Recursive summarization could reduce costs (e.g., re-sending 16k tokens vs. a 500-token summary).
Use Cases:
Long technical discussions (e.g., debugging, tutorials).
Roleplay/storytelling where retaining narrative context is critical.
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