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How to Reduce Token Usage in OpenCode with Dynamic Context Pruning (DCP)

DEV Community·piratesshield·6 months ago
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#ai#llm#productivity#opencode#context
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If you’ve been using OpenCode for AI-assisted development, you’ve probably noticed one thing:

👉 Token usage can get out of hand—fast.

Between full file context, chat history, and agent loops, even simple tasks can burn thousands of tokens.

The good news? There’s a practical way to fix this:

Dynamic Context Pruning (DCP)

🧠 What is Dynamic Context Pruning?

Dynamic Context Pruning (DCP) is a strategy (usually implemented as a plugin or middleware) that:

Removes irrelevant context before sending it to the LLM

Keeps only what’s necessary (active code, recent errors, decisions)

Enforces token limits automatically

Think of it as a smart filter for your prompts .

⚠️ Important: It’s NOT enabled by default

Here’s where many developers get confused:

👉 OpenCode does not ship with DCP turned on out of the box.

You need to:

Install a plugin (or equivalent)

Register it

Configure it properly

⚙️ Step-by-step: Enable DCP in OpenCode

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