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Motivation

When dealing with large volumes of message information, we need a way to condense conversations while preserving their meaning. Using LLMs for summarization allows us to maintain a structured format that keeps key information intact, following the schema outlined in issue #591.

Solution
Create a MessageSummarizer utility that:

Takes CAMEL messages as input
Produces structured summaries that preserve essential information
Maintains compatibility with existing ChatAgent and Message implementations
The summarizer will work similarly to how ChatAgent handles messages, but with a focus on condensing content while retaining critical context and labels.

Solution

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Alternatives

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Additional context

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