Автосжатие не помогает с контекстом, что делать? #openclaw #ai #агенты

The video discusses context optimization challenges in AI agents, revealing that dialogue compression alone is insufficient. The main context burden typically comes from sources other than conversation history. The content emphasizes that developers often focus on optimizing the wrong components when trying to reduce context usage.

Key Points

• •Auto-compression of dialogue alone does not effectively solve context window problems
• •The primary context load often originates from sources other than conversation history
• •Developers frequently optimize dialogue when the real bottleneck lies elsewhere
• •Context optimization requires identifying the actual sources of context consumption
• •A holistic approach to context management is needed beyond simple compression techniques
• •Understanding where context is actually being used is critical for effective optimization

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