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.
Interact with the OmniRoute A2A server from the CLI. Send tasks, inspect skill execution history, and test the JSON-RPC 2.0 agent-to-agent protocol interactively.
Review the instructions the agent will receive before you install.
Interact with the OmniRoute A2A server from the CLI. Send tasks, inspect skill execution history, and test the JSON-RPC 2.0 agent-to-agent protocol interactively.
npm install -g omniroute # or: npx omniroute
omniroute --version
a2aAgent-to-Agent (A2A) server
Example:
omniroute a2a
a2a statusShow A2A server status
Flags:
--jsonExample:
omniroute a2a status
a2a cardPrint the Agent Card JSON
Example:
omniroute a2a card
a2a skillsExample:
omniroute a2a skills
a2a invoke <skill>Flags:
--input <json>--input-file <path>--wait--timeout <ms>Example:
omniroute a2a invoke <skill>
a2a tasksExample:
omniroute a2a tasks
a2a listFlags:
--status <s>--skill <s>--limit <n>--since <ts>Example:
omniroute a2a list
a2a get <id>Example:
omniroute a2a get <id>
a2a cancel <id>Flags:
--yesExample:
omniroute a2a cancel <id>
a2a watch <id>Example:
omniroute a2a watch <id>
a2a stream <id>Example:
omniroute a2a stream <id>
a2a logs <id>Example:
omniroute a2a logs <id>
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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.
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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.
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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.