---
title: "Solve Context Window Limits With Context Packing"
url: https://daily.dev/posts/solve-context-window-limits-with-context-packing-h1cdvighe
source_url: https://www.docker.com/blog/context-packing-context-window/
type: article
source: "Docker"
published: 2026-02-13T13:59:54.361Z
updated: 2026-02-13T14:00:17.633Z
tags: ["ai", "nodejs", "llm", "docker", "docker-compose"]
reading_time: 9
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
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# Solve Context Window Limits With Context Packing

**[Docker](https://daily.dev/sources/docker)** · 9 min read · 1 upvotes · 0 comments

## Summary

Context packing solves LLM context window limits by using a secondary model to summarize conversation history when token counts approach the limit. The technique replaces lengthy message histories with compressed summaries, achieving up to 96% token reduction while preserving essential information. Implementation involves configuring Docker Model Runner with multiple models, setting token thresholds, and automatically triggering summarization when limits are reached. This approach enables longer conversations with small local models without performance degradation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.docker.com/blog/context-packing-context-window/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#nodejs](https://daily.dev/tags/nodejs), [#llm](https://daily.dev/tags/llm), [#docker](https://daily.dev/tags/docker), [#docker-compose](https://daily.dev/tags/docker-compose)

[View this post on daily.dev](https://daily.dev/posts/solve-context-window-limits-with-context-packing-h1cdvighe)