Handle system backups and restore data from backup files while managing a SQLite database. The skill also covers data export, import, and incremental snapshots, which capture changes since an earlier saved state.
Trigger system backups, restore from backup files, and manage the SQLite database lifecycle. Supports export, import, and incremental snapshot strategies.
Review the instructions the agent will receive before you install.
Trigger system backups, restore from backup files, and manage the SQLite database lifecycle. Supports export, import, and incremental snapshot strategies.
All requests require a valid Bearer token or session cookie. Obtain a token via POST /api/auth/login or configure REQUIRE_API_KEY=false for local development.
GET system › env › repair
curl http://localhost:20128/api/system/env/repair \
-H "Authorization: Bearer $OMNIROUTE_TOKEN"
POST system › env › repair
curl -X POST http://localhost:20128/api/system/env/repair \
-H "Authorization: Bearer $OMNIROUTE_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'
GET system › version
Running version, latest published version, auto-update status and npm release channel. releaseChannel and channels are additive (rail 3.8.54); channel keeps meaning the deployment mode used by the dashboard updater.
curl http://localhost:20128/api/system/version \
-H "Authorization: Bearer $OMNIROUTE_TOKEN"
POST system › version
curl -X POST http://localhost:20128/api/system/version \
-H "Authorization: Bearer $OMNIROUTE_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'
See the full OpenAPI specification at GET /api/openapi/spec or docs/openapi.yaml for detailed request/response schemas.
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Use the command line to send tasks to OmniRoute's A2A server, which supports communication between agents. Inspect execution history and logs, monitor or cancel tasks, and interactively test the JSON-RPC 2.0 communication protocol.
Back up and restore OmniRoute data from the command line. Manage incremental snapshots, scheduled backups, encryption, and cloud synchronization, with options to compare differences and preview data transfers or imports before applying them.
Submit groups of AI requests as batch jobs with the OmniRoute command line. Manage input files, monitor or cancel jobs, save results and errors, and incorporate batch processing into automated build and deployment workflows.
Send prompts to LLMs from a terminal, display answers as they arrive, or hold an ongoing conversation. Use files or standard input for prompts, choose models, and set system instructions through OmniRoute.
Configure prompt compression, which shortens text sent to AI models, through the OmniRoute command line. Adjust RTK filters, Caveman rules, and combined compression modes, then preview the results using real prompts.
Manage OmniRoute context settings from the command line, including token budgets and RTK filters for processing context. Switch saved server connections, import or export configurations, and inspect or expire conversation sessions.