The system prompt was a single flat role line, so every agent sounded
like the same status bot. Replace it with an identity (name, title,
department, company, "a colleague, not a generic assistant") and a voice
that differs by standing — executive, manager, or individual contributor
— plus an explicit "talk like a person on a team, not a status bot"
directive. The classification is derived from existing fields (top of
org = CEO, has reports = manager), so there is no schema change.
This is the first half of why the old app felt human and the new one
did not: identical model calls now carry a distinct person behind them.
The manual runTask path enforces assertExecutionApproval, but the
autonomous heartbeat path (enqueueHeartbeatRuns -> enqueueRun -> the
queue worker) did not, so a high-risk or filesystem task whose approval
was still pending — the normal state in ai_cofounder mode, or after an
operator declines — was executed unsupervised.
Apply the same gate in enqueueRun. Pending/declined approvals leave the
task unqueued (the heartbeat's existing try/catch skips it) and it is
picked up on the next tick once approved. ai_ceo mode auto-approves at
task creation, so autonomous companies are unaffected.
Engine-side writes - hires, delegated tasks, chat messages, run state -
only reached the renderer after a run finished: the queue worker sent
one snapshot-changed at the end, and nothing fired at claim time, so
the window sat frozen for the minutes a CEO run takes unless the user
reloaded by hand. The execution service now takes a notifyDataChanged
callback, the agent loop fires it after every tool-bearing iteration,
and the worker announces the claim itself, so the UI follows the
company working in real time.
Every source file is now under 500 lines. Task prompt construction
moves from task-execution-service into task-prompts; goal assignee
resolution moves from organization-service into goal-kickoff; the
shared command types become a domain-structured shared/commands
directory with unchanged import paths; the provider adapter contract
types move to provider-adapter-contract, re-exported through
provider-adapters so callers keep a single public surface.
Agents can now create versioned company documents (PRD, spec, memo,
report, runbook, proposal, policy, guide) via the create_document tool.
Documents are persisted in the documents table and visible in the
Documents page.
When a task_run is triggered by a chat @mention, the agent now receives
the full thread transcript (up to 20 messages) in its prompt so it
understands what it is replying to and can use the correct thread_id.
The loop was gated to API-key providers, so a GPT-account (Codex) CEO failed
with 'requires an API-key provider'. Port Pi's actual request handlers natively
so every agent-capable provider runs:
- chat-completions turn for xAI, Groq, Mistral, Cerebras, OpenRouter
- Codex SSE Responses for GPT account
- Anthropic-OAuth (Claude Code system + beta headers) for Claude Pro/Max
- Copilot proxy (baseUrl from the token) for GitHub Copilot
- Gemini Code Assist for Google Antigravity
A credential resolver refreshes expired OAuth access tokens at request time and
persists the rotation; the runner routes by provider key and passes the resolved
credential. The heartbeat now retries failed tasks (bounded to 3 attempts) so a
run that failed on the old gate recovers automatically. Cloud providers
(Azure/Bedrock/Vertex) still report a clear unsupported message.
The queue worker now also enqueues one run per actionable assigned task of a
heartbeat-enabled agent with an enabled provider and no run yet, so after the
CEO hires and delegates, its reports start their tasks on their own. Each task
is enqueued at most once. The team-building prompt is now scoped to managers
(no manager) with an empty team, so reports execute their task instead.
The new app reached a real LLM but never ran an agent: the kickoff task_run
sat queued forever and runTask was a single text completion with no tools.
This adds the missing runtime:
- provider-tool-turn: OpenAI Responses + Anthropic Messages tool-use turns
- agent-tools + deliverable-writer: hire_agent, create_task,
update_task_status, write_deliverable (workspace-scoped, traversal-safe)
- agent-run-loop: real tool-use loop, capped iterations
- task-queue-worker: claims queued runs in a transaction and executes them
task-execution now drives the loop; a background worker auto-runs the
bootstrap CEO run so it hires its team, delegates tasks, and writes the first
deliverable into the bound workspace. Autonomy is gated by AGENTCOMPANY_NEW_AUTORUN
(tests run with it off to stay hermetic).
ZacharyZhang-NY