Add 'agentify-desktop cli' — one-shot shell commands (query/send/read/tabs/status/stop) - #56
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adossey wants to merge 2 commits into
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Add 'agentify-desktop cli' — one-shot shell commands (query/send/read/tabs/status/stop)#56adossey wants to merge 2 commits into
adossey wants to merge 2 commits into
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…/tabs/status/stop) A command-line client for the same operations the MCP server exposes, so shell scripts and coding agents can drive browser AI sessions without any MCP configuration: agentify-desktop cli query --prompt "Summarize this" --attach notes.md agentify-desktop cli query --key myproject --prompt-file q.md --out reply.md agentify-desktop cli read --key myproject Reusing --key continues the same tab and therefore the same conversation thread. Talks to the local desktop app's HTTP API and auto-launches it when needed (same ensureDesktopRunning path as the MCP server); --no-launch, --json, --timeout, and --out cover scripting needs; exit codes: 0 ok, 1 failed, 2 usage.
…n on query /status can return tab_not_found before any default tab exists; report server-level status from /tabs instead of failing. query passes a client-side timeout margin over the server budget (honored once requestJson supports timeoutMs).
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thanks been a while since i worked on this i'll review your PR soon |
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Summary
A command-line client for the same operations the MCP server exposes, so shell scripts and coding agents can drive browser AI sessions without any MCP configuration:
--keycontinues the same tab and therefore the same conversation thread — handy for multi-round workflows (ask → integrate feedback → ask again in-thread).ensureDesktopRunningpath the MCP server uses);--no-launchfor strict mode.--jsonfor full response payloads,--outto write the reply text to a file (robust for scripting),--timeoutfor long reasoning runs.cli.mjsreusesmcp-lib.mjs(loadConnection/ensureDesktopRunning/requestJson). Wired as aclisubcommand in the existing bin.Independent of #55, though they pair well: with both, a coding agent can run ChatGPT-Pro rounds with file attachments purely via shell commands.
Test plan
cli status/cli tabsagainst a running desktop;cli query --key ... --attach <file> --out reply.txtuploads, sends, waits through an extended thinking phase, and writes the exact reply text (exit 0).node --checkclean;npm testunaffected (163/163 with Fix attachment uploads: accept-aware input selection, upload-settle wait, scoped stop detection, reply-baseline wait #55 applied).