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.
Configure and test prompt compression from the CLI. Manage RTK filters, Caveman rules, stacked compression modes, and preview compression output with real prompts.
Review the instructions the agent will receive before you install.
Configure and test prompt compression from the CLI. Manage RTK filters, Caveman rules, stacked compression modes, and preview compression output with real prompts.
npm install -g omniroute # or: npx omniroute
omniroute --version
compressionExample:
omniroute compression
compression statusExample:
omniroute compression status
compression configureFlags:
--engine <e>--caveman-aggressiveness <n>--rtk-budget <n>--language-pack <p>Example:
omniroute compression configure
compression engineExample:
omniroute compression engine
compression set <name>Example:
omniroute compression set <name>
compression getExample:
omniroute compression get
compression combosExample:
omniroute compression combos
compression listExample:
omniroute compression list
compression statsFlags:
--period <p>Example:
omniroute compression stats
compression rulesExample:
omniroute compression rules
compression listExample:
omniroute compression list
compression addFlags:
--pattern <p>--action <a>--replacement <r>Example:
omniroute compression add
compression remove <id>Flags:
--yesExample:
omniroute compression remove <id>
compression language-packsExample:
omniroute compression language-packs
compression previewFlags:
--file <path>Example:
omniroute compression preview
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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.
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.
Inspect AI costs, token usage—the units used to measure model input and output—and call logs from the OmniRoute command line. Filter records, review spending by connection, and export usage reports for further review.