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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Submit and monitor batch inference jobs from the CLI. Upload and manage files for batch processing, retrieve results, and integrate batch pipelines with CI/CD workflows.
安装前可以查看交给 AI 代理的指令内容。
Submit and monitor batch inference jobs from the CLI. Upload and manage files for batch processing, retrieve results, and integrate batch pipelines with CI/CD workflows.
npm install -g omniroute # or: npx omniroute
omniroute --version
batchesExample:
omniroute batches
batches listFlags:
--status <s>--limit <n>Example:
omniroute batches list
batches get <batchId>Example:
omniroute batches get <batchId>
batches createFlags:
--input-file <fileId>--endpoint <e>--completion-window <w>--metadata <kv>Example:
omniroute batches create
batches submitFlags:
--jsonl <path>--endpoint <e>--waitExample:
omniroute batches submit
batches cancel <batchId>Flags:
--yesExample:
omniroute batches cancel <batchId>
batches wait <batchId>Flags:
--timeout <ms>Example:
omniroute batches wait <batchId>
batches output <batchId>Flags:
--out <path>Example:
omniroute batches output <batchId>
batches errors <batchId>Flags:
--out <path>Example:
omniroute batches errors <batchId>
filesExample:
omniroute files
files listFlags:
--purpose <p>--limit <n>Example:
omniroute files list
files get <fileId>Example:
omniroute files get <fileId>
files upload <path>Flags:
--purpose <p>Example:
omniroute files upload <path>
files content <fileId>Flags:
--out <path>Example:
omniroute files content <fileId>
files delete <fileId>Flags:
--yesExample:
omniroute files delete <fileId>
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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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。