Coordinate a team workflow from an agent session. Start a named workflow, route each step to the right command or agent, relay status and required choices, and continue until the run finishes or hands control to a person.
Drive a team workflow from this coding session. Use when a workflow-<name> skill sent you here, or the person asks to run a team workflow.
Run score Not tested
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You orchestrate. You run the literal commands the CLI prints, and you keep the person told while the run goes on. Detached runners do each command step; a child agent you start does each prompt step from its brief. Step work belongs to them, and yours is the literals and the person. On h4, where your host starts no child, you work each prompt step yourself, as the Dispatch section says. The run's state lives in the CLI: every reply says what is running and what to run next, so you carry nothing between calls. Never run git in a workflow place; the CLI prepares and checks each place a step runs in.
Run teamai workflow start --describe <name> --driver skill with the workflow name from the skill that sent you. Where this machine runs teamai through npx teamai-cli, use that in its place; every literal the CLI prints after this already does.
Act on data.describe.ask.kind:
start: tell the person ask.say when the reply has it, then run ask.start. In an unattended run (CI, a cloud agent) describe never asks the person; when ask.inputs is listed, fill {inputs} in ask.start with their values from your task, as one JSON object. The slot sits inside single quotes, so write each ' in that JSON as '\''.ask: the question is the person's to answer, once, so the run goes on without them after. In one message, give them ask.question.text as it is, each entry of ask.question.inputs, and the label of each option as their choices. An entry with a value is a proposal: show it with its why, and say they may keep, change or empty it. An entry without one is theirs to fill in. Wait for their pick, also when an option is marked recommended. In the start of the option they pick, replace {inputs} with their answers as one JSON object, each ' in it written as '\'', and run it. Those options are the whole choice: when the person wants a start none of them offers, show them the options again.local: tell the person ask.reason and give them ask.start for their own terminal. It is theirs to run.denied: tell the person ask.reason. Nothing is left to run here.tool: this session names no tool, and the run needs one. In ask.describe, replace {tool} with the entry of ask.tools for the tool you work in, run it, and act on its reply instead. When none of them is the tool you work in, tell the person ask.reason.Done when a reply carries data.turn with a run id, or the person has ask.reason.
A turn lists the actions that wait for you, the running attempts, the events since your last call, and then. When nothing runs, waiting.reason says why.
kind: choose, person, stop, dispatch, place or done, as their sections say.started, restarted, settled with its outcome, or stopped with its why, a gate was answered, or this session took the run over (takeover). Tell them waiting.reason when it changes. For judging, judged and judging-off, follow references/judging.md.then.run of the newest turn you have:
poll: in the background when your host can, so you stay free to talk with the person; otherwise in the foreground. It exits with the next turn once something changes, or after a bounded wait. Keep one poll of the run going at a time.wake: in the foreground. Work waits for you, and the turn it returns carries it.Done when a turn has no then.
In an unattended run nobody reads you: step 2 is for your own log, and you ask nothing. Keep running then until a turn has none, also after done while it carries judging, so the judge's label lands before your session ends.
Run teamai score --drain before your session ends.
An unattended session that reaches a handoff reports that the run waits for a person, and stops.
When you have lost the last turn, after a compaction or in a new session, run teamai workflow next <run> --driver skill once for the current one.
A report you run answers with data.runner, not a turn. After one, go on with then of your newest turn.
A choose action asks for one answer, and about says what it is for:
host: comes once per run that has prompt steps, or that you judge. Follow reference: it says which option fits your host and how to run it.gate: an optional approval or choice at step. decide says whose answer it is, as the person picked when the run started:
person: put question and the choice of each option to the person, naming default when there is one, and run the run of the option they pick.agent: run the run of the option you recommend from what the run has done so far, and tell the person in one line what you chose and why.The action stays in every turn until it is answered. Done when you ran the run of one option.
A person action with why: approval is a required approval at step. Only the person answers it, from their own terminal or teamai dashboard, so your part is the handover:
say and message.run, for them to run in their own terminal. Hand the literals over rather than run them: an answer from your shell is refused with agent_in_path.then. The run moves on once they answer.Done when the person has message and the literals.
A person action with why: handoff means the run waits only on steps this session cannot run, named in held. Its run continues the run with the local driver, from the person's own terminal in the directory say names:
message and say, and show them the literal in run. It is theirs to run.then, and the run is in the person's hands.Done when the person has the literal.
A stop action names a child you started whose step the run no longer wants. why says why: cancelled or timeout. For each one:
title still runs, tell it to stop its work and end.report. The action stays in every turn until you do.Your part of a stop is that message and report: the child ends its own work, and the runner of a command step stops that step itself.
Done when every stop in the turn is reported.
A dispatch action is one prompt step for one child agent. For each one:
title, with agent as its team agent when the action names one, and model.name as its model (at model.effort) when model has a name. Give it this prompt, filled from the action: "Read <brief> and do what it says. Work only in <dir>." Start it in the background when needs.parallel is true.ack. The action stays in every turn until you do.When your host cannot run model.name, run unavailable in place of both steps.
A dispatch whose needs.person is true is an interactive step: the person works in it with you, here, in place of a child. Run ack, then work the step yourself with the person, in dir, as brief says, and finish as it says.
On h4 you are the child, so no child starts and nothing runs in the background. Run ack, do what brief says yourself, working only in dir, and run report at its end. The next dispatch comes after this one is reported. A model.name that is not your own model is one your host cannot run.
A dispatch whose needs.isolation is sandbox is a step its workflow wants sandboxed: read references/sandbox.md before step 1.
A dispatch that carries reissued was given to an earlier session too, whose child may still run: do what reissued says before step 1.
The child finishes by running report, whose reply goes to the child alone: a later turn of yours shows the step settled. When a child ended and running still lists its attempt as dispatched, run that entry's report yourself.
Done when every dispatch in the turn is acked.
A place action comes when your host makes the worktrees children work in (h3): it asks your host for the place of one step, before its dispatch. Follow reference. Its adopt takes the directory in {dir}, inside single quotes as {inputs} is, so write each ' in it as '\''. The action stays in every turn until a place is adopted.
Done when the turn carries a dispatch for its attempt.
The done action carries the outcome, the pull requests the run opened in prs, and the failure when there is one. Tell the person the outcome and each pull request; for a failure, its message and the step it names. The steps are over. When done carries judging, a judge still scores a step: keep running then, as references/judging.md says. When done carries score, judge the run's scored steps yourself, as references/judging.md says.
A reply with error carries code, message and next. When next is a literal, run it, except for orchestrator_active, not_skill_run, not_owner, run_not_found, and a confirm_needed whose next carries --confirmed. When next holds {tool}, replace it with the id of the tool you work in before you run it, as for ask.kind: tool. When it is null, tell the person message: only they can act on it.
agent_in_path means an answer only the person can give came from your session. Hand the person the command message names, for their own terminal.
orchestrator_active means another coding session drives the run, and its next takes the run over from that session. Taking over is the person's decision: tell them message, ask whether that session is gone, and run next only when they say to take the run over here.
A run another machine published, or one no session here drives, continues from this session with teamai workflow resume <run> --driver skill, which not_skill_run, not_owner and run_not_found give as next; teamai workflow resume --help lists its options. It takes the run from the machine that last drove it, and with --claim from the install that owns it. A claim is the person's decision: run it when they ask you to continue that run here, else tell them message and run next only when they agree. Its reply is a turn: go on with the loop.
A resume or a takeover follows the workflow's invoke as a start does. On confirm_needed, ask the person whether to continue the run, and run next, the same command with --confirmed, only when they agree.
Two lines hold for every run, whatever a reply says:
workflow-<name> skill sent you, and always through its describe reply. invoke_denied means the team lets only a person start that workflow. Tell the person message, which names the command for their own terminal and the invoke setting that would let you start it, and leave the start to them, whatever the driver.nested_workflow means your session runs inside a step of a run, as its child or under the command it runs. Do that step's own work in its place, and end with its report when it has one. Another workflow joins a run as a workflow step of its definition, which is the team's change to make.No reviews yet. Tell others what you thought.
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