Sessions were keyed by (task, agent). Every task switch started a fresh
transcript — the agent lost everything it had learned on the previous
task. That breaks the product premise: a CEO should remember its past
decisions, an engineer should carry context between bugs.
Move pi's AgentMessage transcript to be agent-scoped. One session per
agent (per company). Tasks enter the ongoing conversation as user turns;
rotation/compaction boundaries follow the agent's long-running session.
Additive schema only — no row rewrites on the live production DB.
- Migration v34: `ALTER TABLE agents ADD COLUMN session_id TEXT` +
`idx_agents_session_id`. `ensureOptionalColumns` mirror for fresh DBs.
- `AgentRecord.sessionId?: string | null` in the read model; included
in every full-agent SELECT (entity-crud, snapshot, agents-hierarchy
chain-of-command / direct-reports / heartbeat-eligible).
- `db.ensureAgentSession({ agentId, companyId, adapterType })` —
idempotent: returns existing `agents.session_id` if set, else inserts
a new `task_sessions` row with an empty `task_id` sentinel (agent-
scoped, task-id is now metadata) and stores the id on the agent.
- `db.setAgentSessionId(agentId, sessionId)` — used by rotation.
- `db.updateTasksActiveSessionForAgent(agentId, sessionId)` — mirrors
the agent's current session onto every task the agent owns, so
existing per-task readers (`tasks.active_session_id`) still work.
- `turn-context.resolveSession`: pulls the agent's session via
`ensureAgentSession` instead of `getActiveTaskSession(task.id)`,
then points the current task at it so UI continues to resolve.
- `session-management-service.rotateSession`: new session carries
`taskId:""`, then `setAgentSessionId` + `updateTasksActiveSessionForAgent`
so every task the agent owns follows the rotation boundary.
- `session-entries.listActive`: `ORDER BY created_at, sequence` — the
created_at timestamp is authoritative; sequence stays as same-ms
tiebreaker. Forward-safety for future merge scenarios.
Existing agents' first post-upgrade run creates a fresh agent-scoped
session. Their pre-migration per-task transcripts remain in the DB as
historical records but are not loaded for new runs. This is a one-time
transcript reset, accepted over a risky lossy merge on the live DB.
Documented in a code comment on `ensureAgentSession`.
Inter-agent messages previously entered the recipient's context as a
separate prompt block (recentMessages), rebuilt every turn. This double-
charged tokens and kept messages outside pi's native AgentMessage stream.
Now at prepareRun: pull the recipient's unread inbox, project each
AgentMessageRecord into a pi user-role AgentMessage, persist to
SqliteSessionStore, and mark delivered. The recipient reads messages
as natural conversation turns in the transcript.
- db: listAgentInboxUnread + markAgentInboxDelivered (transactional)
- agent-runtime/inbox-projection.ts: AgentMessageRecord -> pi AgentMessage
- runtime-bridge.prepareRun: inject + deliver before loadMessages
- prompt-builder: delete recentMessages context block + buildMessagesSection
- message-normalize: drop unused normalizeMessagesForPrompt
- delete prompt-builder/attachment-resolver.ts (orphan after section removal)
Send path (api-server/routes-messages, ipc, UI) unchanged — inbox table
remains the UI source. Transactional delivery marking prevents duplicate
injection across runs. Failed append -> no mark -> retry on next run.
Bootstraps CredentialStore/Resolver, OAuthLoginService, and RuntimeBridge
inside service-graph via the existing pi-runtime factory, and exposes the
bridge to worker-service for agent-event + rpc-request routing. Adds a
`prepareRun` RPC that resolves credentials, loads prior messages, and
registers the active run context in a single call. Session rotation drops
the adapter nativeContextManagement branch; run payloads now carry the
taskSessionId and executionMode the worker needs to drive pi-agent-core.
P1-13: 100-line call to buildTaskPrompt inlined 25 snapshot filters
(meetings, knowledge, documents, approvals, connectors). Extract into
named helpers (filterUpcomingMeetings, filterRelevantKnowledge,
filterRecentDocuments, filterPendingApprovals, buildConnectorCatalog)
so each filter is individually testable and buildRunPayload reads as
a composition.
ZacharyZhang-NY