通过命令行向OmniRoute的A2A服务器发送任务，查看执行历史和日志，监控或取消任务，并交互测试智能体之间的通信。
- 检查服务器状态和可用技能
- 使用JSON输入调用技能
- 查看任务执行历史和日志
cheaper-inference/OmniRoute7.9万2026年10月22日 更新
免费在 GitHub 公开
cli-chat
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。
原文查看原文说明
Send chat completions, stream responses, and start an interactive REPL session from the CLI. Supports all OmniRoute providers, combo routing, and system prompt configuration.
适用场景
- Sending a prompt from a terminal
- Using file contents as a prompt
- Displaying and saving streaming responses
- Resuming an interactive conversation
包含的文件（1）
- SKILL.md1.3 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
<!-- generated by src/lib/agentSkills/generator.ts; manual edits will be overwritten -->
Overview
Send chat completions, stream responses, and start an interactive REPL session from the CLI. Supports all OmniRoute providers, combo routing, and system prompt configuration.
Quick install
npm install -g omniroute # or: npx omniroute
omniroute --version
Subcommands
chat [prompt]
Flags:
--file <path>--stdin-s, --system <prompt>-m, --model <id>--max-tokens <n>--temperature <t>--top-p <p>--reasoning-effort <level>--thinking-budget <tokens>--combo <name>--responses-api--stream--no-history
Example:
omniroute chat [prompt]
repl
Flags:
-m, --model <id>--combo <name>-s, --system <prompt>--resume <session>
Example:
omniroute repl
stream [prompt]
Flags:
--file <path>--stdin-m, --model <id>-s, --system <prompt>--combo <name>--max-tokens <n>--responses-api--raw--debug--save <path>
Example:
omniroute stream [prompt]
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同一仓库的技能
Backup and restore OmniRoute data from the CLI. Trigger incremental snapshots, sync to cloud storage, manage backup schedules, and restore from archive files.
中文简介正在准备中。当前显示原文说明。
cheaper-inference/OmniRoute7.9万2026年10月22日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Submitting AI requests from a JSONL file
- Monitoring batch jobs and waiting for completion
- Saving batch results and error details
cheaper-inference/OmniRoute7.9万2026年10月22日 更新
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。
- Preview compression results with real prompts
- Adjust RTK filters and Caveman rules
- Compare combined compression modes
cheaper-inference/OmniRoute7.9万2026年10月22日 更新
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。
- Adjust context token budgets and filtering rules
- Switch between saved server connections
- Import or export connection settings as JSON
cheaper-inference/OmniRoute7.9万2026年10月22日 更新
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。
- Review AI spending for a selected period
- Compare usage by provider or model
- Search and monitor API call logs
cheaper-inference/OmniRoute7.9万2026年10月22日 更新