Manage how context, the text supplied to an AI, is compressed with RTK filters. Preview compression on real prompts, validate and install filter files, and inspect filter loading diagnostics.
中文简介正在准备中。当前显示英语简介。
Configure RTK filters, context engineering rules, and context relay settings. Test compression with real prompt samples and manage context transformation pipelines.
安装前可以查看交给 AI 代理的指令内容。
Configure RTK filters, context engineering rules, and context relay settings. Test compression with real prompt samples and manage context transformation pipelines.
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 RTK compression settings
curl http://localhost:20128/api/context/rtk/config \
-H "Authorization: Bearer $OMNIROUTE_TOKEN"
Update RTK compression settings
curl -X PUT http://localhost:20128/api/context/rtk/config \
-H "Authorization: Bearer $OMNIROUTE_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'
List RTK filters and load diagnostics
curl http://localhost:20128/api/context/rtk/filters \
-H "Authorization: Bearer $OMNIROUTE_TOKEN"
Validate or install an RTK TOML schema v1 filter file
curl -X POST http://localhost:20128/api/context/rtk/import \
-H "Authorization: Bearer $OMNIROUTE_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'
Run RTK compression preview for text
curl -X POST http://localhost:20128/api/context/rtk/test \
-H "Authorization: Bearer $OMNIROUTE_TOKEN" \
-H "Content-Type: application/json" \
-d '{}'
Read retained redacted RTK raw output
curl http://localhost:20128/api/context/rtk/raw-output/{id} \
-H "Authorization: Bearer $OMNIROUTE_TOKEN"
GET context › rtk › discover
curl http://localhost:20128/api/context/rtk/discover \
-H "Authorization: Bearer $OMNIROUTE_TOKEN"
GET context › rtk › learn
curl http://localhost:20128/api/context/rtk/learn \
-H "Authorization: Bearer $OMNIROUTE_TOKEN"
See the full OpenAPI specification at GET /api/openapi/spec or docs/openapi.yaml for detailed request/response schemas.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
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。
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。
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。