Automatically reduces token usage in OpenCode by removing obsolete tool outputs from conversation history.
Add to your OpenCode config:
Using @latest ensures you always get the newest version automatically when OpenCode starts.
Restart OpenCode. The plugin will automatically start optimizing your sessions.
DCP uses multiple strategies to reduce context size:
Deduplication — Identifies repeated tool calls (e.g., reading the same file multiple times) and keeps only the most recent output. Runs automatically on every request with zero LLM cost.
Supersede Writes — Prunes write tool inputs for files that have subsequently been read. When a file is written and later read, the original write content becomes redundant since the current file state is captured in the read result. Runs automatically on every request with zero LLM cost.
Prune Tool — Exposes a prune tool that the AI can call to manually trigger pruning when it determines context cleanup is needed.
On Idle Analysis — Uses a language model to semantically analyze conversation context during idle periods and identify tool outputs that are no longer relevant.
Your session history is never modified. DCP replaces pruned outputs with a placeholder before sending requests to your LLM.
LLM providers like Anthropic and OpenAI cache prompts based on exact prefix matching. When DCP prunes a tool output, it changes the message content, which invalidates cached prefixes from that point forward.
Trade-off: You lose some cache read benefits but gain larger token savings from reduced context size. In most cases, the token savings outweigh the cache miss cost—especially in long sessions where context bloat becomes significant.
DCP uses its own config file:
- Global:
~/.config/opencode/dcp.jsonc(ordcp.json), created automatically on first run - Custom config directory:
$OPENCODE_CONFIG_DIR/dcp.jsonc(ordcp.json), ifOPENCODE_CONFIG_DIRis set - Project:
.opencode/dcp.jsonc(ordcp.json) in your project’s.opencodedirectory
Default Configuration (click to expand)
{
// Enable or disable the plugin
"enabled": true,
// Enable debug logging to ~/.config/opencode/logs/dcp/
"debug": false,
// Summary display: "off", "minimal", or "detailed"
"pruningSummary": "detailed",
// Strategies for pruning tokens from chat history
"strategies": {
// Remove duplicate tool calls (same tool with same arguments)
"deduplication": {
"enabled": true,
// Additional tools to protect from pruning
"protectedTools": []
},
// Prune write tool inputs when the file has been subsequently read
"supersedeWrites": {
"enabled": true
},
// Exposes a prune tool to your LLM to call when it determines pruning is necessary
"pruneTool": {
"enabled": true,
// Additional tools to protect from pruning
"protectedTools": [],
// Nudge the LLM to use the prune tool (every <frequency> tool results)
"nudge": {
"enabled": true,
"frequency": 10
}
},
// (Legacy) Run an LLM to analyze what tool calls are no longer relevant on idle
"onIdle": {
"enabled": false,
// Additional tools to protect from pruning
"protectedTools": [],
// Override model for analysis (format: "provider/model")
// "model": "anthropic/claude-haiku-4-5",
// Show toast notifications when model selection fails
"showModelErrorToasts": true,
// When true, fallback models are not permitted
"strictModelSelection": false
}
}
}By default, these tools are always protected from pruning across all strategies:
task, todowrite, todoread, prune, batch
The protectedTools arrays in each strategy add to this default list.
Settings are merged in order:
Defaults → Global (~/.config/opencode/dcp.jsonc) → Config Dir ($OPENCODE_CONFIG_DIR/dcp.jsonc) → Project (.opencode/dcp.jsonc).
Each level overrides the previous, so project settings take priority over config-dir and global, which take priority over defaults.
Restart OpenCode after making config changes.
MIT