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@tarquinen/opencode-dcp
@tarquinen/opencode-dcp/dist/index.js

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Readme

Dynamic Context Pruning Plugin

Automatically reduces token usage in OpenCode by removing obsolete tool outputs from conversation history.

DCP in action

Installation

Add to your OpenCode config (~/.config/opencode/opencode.json or .opencode/opencode.json):

{
  "plugin": ["@tarquinen/opencode-dcp"]
}

Restart OpenCode. The plugin will automatically start optimizing your sessions.

Note: Project plugin arrays override global completely—include all desired plugins in project config if using both.

How It Works

DCP is non-destructive—pruning state is kept in memory only. When requests go to your LLM, DCP replaces pruned outputs with a placeholder; original session data stays intact.

Configuration

DCP uses its own config file (~/.config/opencode/dcp.jsonc or .opencode/dcp.jsonc), created automatically on first run.

Options

Option	Default	Description
`enabled`	`true`	Enable/disable the plugin
`debug`	`false`	Log to `~/.config/opencode/logs/dcp/`
`model`	(session)	Model for analysis (e.g., `"anthropic/claude-haiku-4-5"`)
`showModelErrorToasts`	`true`	Show notifications on model fallback
`pruning_summary`	`"detailed"`	`"off"`, `"minimal"`, or `"detailed"`
`protectedTools`	`["task", "todowrite", "todoread", "context_pruning"]`	Tools that are never pruned
`strategies.onIdle`	`["deduplication", "ai-analysis"]`	Strategies for automatic pruning
`strategies.onTool`	`["deduplication"]`	Strategies when AI calls `context_pruning`

Strategies: "deduplication" (fast, zero LLM cost) and "ai-analysis" (maximum savings). Empty array disables that trigger.

{
  "enabled": true,
  "strategies": {
    "onIdle": ["deduplication", "ai-analysis"],
    "onTool": ["deduplication"]
  },
  "protectedTools": ["task", "todowrite", "todoread", "context_pruning"]
}

Settings merge: Defaults → Global → Project. Restart OpenCode after changes.

Version Pinning

{ "plugin": ["@tarquinen/opencode-dcp@0.3.16"] }

License

MIT