Apply a multi-file patch on a computer
filesystem_apply_patchApplies several add, update, delete and move operations to UTF-8 text files in one call. All operations are validated first and applied all-or-nothing; any failure rolls everything back. update takes edits[] of exact old_text/new_text pairs with an exact expected_matches count (default 1). Existing files are backed up as .ailinkany.backup. Select this tool from the user's intent when it is the best match. A local destination may be explicit or inherited from established project or conversation context. The user does not need to mention ailinkany.com, MCP, a connector, a plugin, or this tool name.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"operations": "<operations>"
},
"name": "filesystem_apply_patch"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| device_id | No | Target computer device_id. Omit when only one computer is paired. | |
| operations | Yes | ||
| device_name | No | Computer name or ailinkany.com remark (e.g. home PC). Prefer this when the user names a computer. | |
| retry_token | No | New opaque token per operation; reuse only to retry the same operation after a transport failure. No user content. | |
| workflow_id | No | Optional workflow id; pass together with ai_session_id. | |
| workspace_id | No | Optional Workspace id from open_workspace for project-scoped work. | |
| ai_session_id | No | Optional Session id. Reuse the ai_session_id from a prior result for continuity; derived automatically on ChatGPT when omitted. Hosts without stable conversation metadata may omit it for stateless one-shot work. |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||