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    Keep a workflow running after you disconnect

    Learn the host lifecycle with a real timer, then extend it with background research jobs.

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    InputA daemon session and a scheduled event

    OutputAn observable completion after client detach

    Setup Generate a separate private daemon configuration using tutorial setup, select this prompt, and keep the daemon alive. Do not submit a model message.

    Workflow overview · illustrative
    1. Create a hosted session
    2. Detach the client
    3. Observe the scheduled stop

    Learn the host lifecycle with a real timer, then extend it with background research jobs.

    Separate the lifetime of the work from the lifetime of the terminal. Background research uses the documented model-job recipe as an extension.

    Input: A daemon session and a scheduled event.

    Output: An observable completion after client detach.

    Follow the background-agent tutorial. Its source bundle demonstrates a host-owned scheduled event that stops the session even when no TUI is attached. This timer needs no model request; it is a small, reproducible way to understand where the work lives.

    A daemon-hosted ChatML moderator can start a specialist job with Model.spawn("agent_prompt_v1", payload). The recipe payload supplies prompt, input, and is_local. Handle Model_job_succeeded and Model_job_failed events to collect results or record failure. Follow the complete contracts and tested recipe in ChatML orchestration.

    For example, a workflow can dispatch a question to a researcher, remain alive while its client disconnects, and collect the result when the job completes. That research extension requires your prompt, provider configuration, job capacity, and completion handling; the included timer does not perform research.

    Read the agent hosting overview for the deployment model and operations path.

    Use the documented job, schedule, and session views to inspect progress after reconnecting. Schedules are one-shot events, not a cron service. Restart recovery does not resume arbitrary process stacks or guarantee exactly-once external effects. Sessions and workspaces explains the host’s ownership and persistence boundaries.

    Explore another application or follow the tutorial curriculum.

    View source · Background timer2 files

    Complete source files. Open a filename to read it here.

    timer.chatmdStart here
    <developer>This host demonstrates a background timer; no model request is needed.</developer>
    <script language="chatml" kind="moderator">
      type state = int
      type event = [ `Session_start | `Tick ]
      let initial_state = 0
      let on_event : context -> state -> event -> state task =
        fun ctx st ev ->
          match ev with
          | `Session_start ->
            Task.bind(Schedule.after_ms(10000, `Tick), fun timer_id ->
            Task.pure(st + 1))
          | `Tick ->
            Task.bind(Runtime.end_session("scheduled tutorial stop"), fun ignored_end ->
            Task.pure(st + 1))
    </script>
    

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    LICENSE.txtnotice
    MIT License
    
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    Permission is hereby granted, free of charge, to any person obtaining a copy
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    The above copyright notice and this permission notice shall be included in all
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    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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    SOFTWARE.

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