eukhe
Coding agent with a memory of all things
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eukhe docs workflows.md
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at bend/stackfix

Dynamic workflows #

One JavaScript orchestration script the agent writes and eukhe runs: starts many subagents at once (up to the size), waits, returns one result; eukhe shows progress.

Use #

/dynamic-workflow review every crate for unsafe error handling   # default size
/dynamic-workflow --size large migrate the tests to the new API     # one run, size large
/workflows size                                                     # size picker
/workflows size small                                               # set the default size
/workflows                                                          # this session's runs
  • /workflow = /dynamic-workflow. --size comes first; after --size the menu lists the sizes.
  • Runs in the background; chat goes on. The workflow call returns the run id at once.
  • Result arrives as [job-settled job:workflow-<id> status:ok|error|aborted], which starts an agent turn.
  • /workflows: arrows move, Enter opens the agents view, c then y cancels, Esc closes.
  • Chat Esc stops the turn, not the run; cancel on /workflows.
  • While running: activity dock shows a workflows count (Enter opens /workflows); the agents block above the composer shows the run (active phase, agents done) and each running agent (terminal.pinnedAgents, settings.md).
  • Signal gateway and dashboard send /dynamic-workflow as a prompt.

Sizes #

Size Agents at once Agents in total
small 3 5
medium 6 10
large 12 25
  • Setting workflow.size, default medium.
  • subagentMaxConcurrency caps agents at once; 0 = no cap.
  • agent() past the total throws WorkflowBudgetExhausted; in parallel/pipeline that slot is null.

Script API #

Body of an async function; starts with a pure literal meta:

export const meta = { name: "review", description: "Review the changed files", phases: [{ title: "Scan" }, { title: "Fix" }] };
Global Effect
agent(prompt, opts?) One subagent → final message, parsed object for schema, or null on failure
parallel(thunks) Runs () => agent(...) thunks at once, waits for all; a throw → null
pipeline(items, ...stages) Each item through the stages in order, no waiting between items; null stops an item
phase(title) Enter a meta.phases phase
log(message) Line in the run log
args Request text
budget { size, concurrency, maxAgents, spawned() }
agent() option Effect
label Name on /workflows
phase Phase; default the last phase()
schema JSON Schema; agent ends with a matching JSON block; mismatch: one retry, then null
model Model
effort Thinking level
isolation "worktree": copy-on-write workspace copy; changes return at the end
  • Date virtual, Math.random seeded, no I/O.
  • Agents do not see the conversation: put every fact in the prompt.
  • The return value goes into the result message: keep it small.

Resume #

  • Worker restart resumes: finished agents from the journal, running agents reattach, a cut-off agent runs once more; one result message.
  • Start answer and result name the run: workflow run <id> (<name>).
  • resume: "<id>" on a new run reuses finished agents with unchanged prompt and options; shown ↺, not counted against the total.

Limits #

  • Needs the daemon; --no-session refuses the tool.
  • Agents are subagents: rlmMaxDepth limits depth.
  • Agents report to the script, not the conversation.
  • Dashboard shows runs, cannot cancel.