pi's `transformContext` hook fired on every LLM call but returned
the transcript unchanged, so a long-running agent paid per-token
for its entire history on every turn. The README promised "sessions
persist + auto-compact" but the main loop had no compaction wired
in at all — only rotation at the long-cycle boundary.
`context-compactor` closes that gap. A pure, provider-free function
estimates tokens (~4 chars/token), short-circuits below a 120K
threshold, and on overflow keeps the last 20 messages verbatim
while collapsing older ones into a single "context summary" user
turn. The summary preserves the original task and the first twelve
assistant highlights so the agent has continuity without forwarding
every historical turn.
Compaction is non-destructive: the Agent's in-memory transcript
and the SQLite session store still hold the full history, feeding
UI timelines and audit. Only the LLM payload shrinks. Rotation
remains the long-cycle boundary (separate commit) — compaction is
what keeps each individual LLM call within budget.
The artifact projector only registered write/edit. Everything bash
produced — build artifacts, files written via shell redirection,
git commits, generated code — stayed invisible to the desktop UI
and the audit layer. Filesystem truth and UI truth were
systematically out of sync.
This lifts bash onto the same filesystem artifact protocol as
write/edit. When a bash tool call succeeds in a git workspace, the
projector runs `git status --porcelain=v1 -z --untracked-files=all`
and upserts a work_products row for every modified/untracked entry,
reusing the existing `(companyId, provider='filesystem', externalId)`
identity so repeated edits never duplicate. Non-git workspaces fall
through with an explicit "not_a_git_repo" skip reason — there is no
authoritative baseline there to diff against, and silently
half-registering would be worse than skipping.
A 50-file cap per invocation bounds the scan so a runaway rebuild
cannot flood the table; anything past the cap is logged as a skip.
Rename entries (emitted as `R new\0old`) advance the iterator past
the old-path entry so deletions of the rename source are not
double-registered.
The projector now always returns an array so `write`/`edit` (one
path) and `bash` (many paths) share one shape, and the hook handler
can log uniform outcomes.
.gitignore gains `AgentCompany-Rust/` — the separate Rust rewrite
tree lives in the same repo root but is not part of the desktop app
build and should not drift into feature commits.
Incoming messages (human → agent, agent → agent, channel broadcast)
persisted to the inbox and were only projected into the recipient's
transcript on the next `prepareRun`. When the recipient was already
running, every message waited for the next wake — a Slack-like
system operating at heartbeat cadence, not in real time.
`RuntimeMessageInjector` closes the gap: it looks up the recipient's
active run through `RuntimeBridge.findActiveRunForAgent`, projects
the persisted `AgentMessageRecord` via the existing inbox-projection
helper, and posts a `steer-run` ParentMessage into the worker. The
worker's runner enqueues the projection on the Agent's steering
queue; pi drains it at the next turn boundary and emits the usual
`message_end` → `persistMessage` sequence, so the session store
shadow is preserved without double-writing.
`dispatchAgentMessage` gains an optional `injectRuntimeMessage` hook
used by every API-side dispatch. Injection succeeds → we mark the
inbox row delivered and skip `wakeAgentIfPossible`. Injection fails
(no active run) → the legacy inbox + wake path still fires, so
sleeping agents continue to receive their messages on the next turn.
The injector is owned by the service graph alongside `workerService`
and `piRuntimeRef`, which gives it both the worker postMessage
channel and the RuntimeBridge active-run map without additional
coupling. Internal dispatch call sites (sweepStaleReviews,
automation actions) leave the hook unset; those system messages
target idle agents by design and do not need the runtime path.
Approval creation already flowed through the API server, but pi's
`bash` / `write` / `edit` tools never traversed that layer, so the
gate was purely advisory: the agent kept mutating the workspace while
the board tried to hold it. The fix: policy runs at the one place
every destructive tool invocation must pass, pi's `beforeToolCall`.
`checkApprovalBlock` fails closed on lookup errors — an unreadable
approvals table is a safety incident, not a licence to execute. It
re-reads `getBlockingApproval` on every call so an approval created
mid-run takes effect on the next tool without any cache.
`checkWaitStateBlock` rides the unified
`hasUnresolvedWaitStateForAgent` query so task, approval, and
freeform thread wait states all gate the same tools. Read-only tools
are untouched; only bash/write/edit are gated because gating
observation would slow investigation without adding safety.
The destructive-tool set is promoted to a named predicate so the
Task 5 artifact projector can share the same definition when it
extends to bash outputs.
The worker previously constructed `new Agent({systemPrompt, model, tools,
messages, streamFn})` and stopped there — transformContext,
beforeToolCall, afterToolCall, sessionId, thinkingLevel, and steer/
followUp were all dark. Approval enforcement, artifact projection,
auto-compaction, and mid-run steering all had to reach the agent
through other, non-canonical channels (event observers, prompt-block
injection at prepareRun, API-layer gates). That left the whole pi
contract at one-tenth utilisation and forced business logic into the
wrong seams.
This change rebuilds the contract assembly layer:
- `pi-agent-factory` builds the Agent with the full option surface:
sessionId (taskSessionId), thinkingLevel (mapped from
agent.metadataJson), and three RPC-proxied hooks.
- Each hook shuttles a thin payload over the existing worker RPC
channel into `RuntimeBridge`, which routes to `hook-handlers`:
* beforeToolCall → approval-gate policy (blocks destructive
tools while a pending approval is outstanding).
* afterToolCall → filesystem artifact projection, previously
nested in the tool_execution_end event observer.
* transformContext → pass-through today; compaction wires in
next commit.
- ParentMessage gains `steer-run` / `followup-run`; `WorkerRunner`
keeps a runId→Agent registry so main can inject mid-run messages
into the active pi loop.
`worker-types` extends the rpc-request method enum; `runtime-bridge`
loses the per-event artifact projector and gains a `findActiveRunForAgent`
lookup used by the upcoming inbox → steer path. No public main API
changes yet — the wiring is the foundation for the next five commits.
Sessions are already agent-scoped post-v34, but the code kept routing
rotation / accumulation / handoff through the task indirection. Heartbeat
runs (no task) silently skipped all three, letting taskless transcripts
grow past the model's context window — the 7M-token explosion.
- DB adds getSessionById(sessionId) — direct lookup bypassing
tasks.active_session_id
- session-management-service: generateHandoff(session) is now agent-scoped,
walking recent runs across tasks + heartbeats; getHandoffForAgent(agentId)
is the canonical lookup, getHandoffContext(taskId) is a thin shim for
callers that still hold a task id
- turn-context.ts::resolveSession drops the `if (!task)` early return:
rotation evaluation runs on the agent session unconditionally
- run-finished-helpers.ts::accumulateAndRotateSession drops the `!task`
gate: tokens accumulate and rotation fires for every run, keyed on the
agent session, not the task
- Rotation evaluator contract: evaluatePreRunSessionRotation(agentId,
connectorId) → { rotated, handoff, sessionId }; old (taskId, connectorId)
signature removed
IPC contract tightening: ipc-support::emitEvent becomes a best-effort
sink. "Render frame was disposed" during renderer reload is a lifecycle
signal, not a logic error; silently drop it instead of letting it abort
downstream event emissions.
Artifact projection: pi's write/edit tool results now upsert a
`work_products` row via a new agent-runtime/artifact-projector.ts. No
more agents writing 54 files into the workspace that the UI never sees.
Migration v40 relaxes work_products.task_id to nullable so heartbeat
artifacts can register too.
File size: split agent-event-projection.ts out of runtime-bridge.ts to
keep the bridge under the 400-line cap after adding the projector hook.
Tests: 604 unit + integration green; generateHandoff callsites updated
for the single-argument signature; artifact-projector has pure-function
coverage via the projector module's own shape.
The Co-Founder beforeToolCall hook (introduced in 77f81a7) gated every
non-readonly pi tool call as a `dangerous_command` approval. Because
agents call `POST /api/companies/:id/messages`, `/agents` (hire), and
every other company mutation via bash→node/curl, the first bash call in
every Co-Founder run got parked on a 30-minute approval timeout. Users
observed it as "agents never talk to each other" and "every bash command
waits for approval"; both symptoms are the same bug.
The business-level approval flow (`hire_agent`, `document_review`,
`plan_review`, etc. in execution-policy.ts) already gates the events
users actually care about, at the HTTP route layer where the event
originates (routes-agents.ts:368 for hiring, document routes for
deliverables). Stacking a pi-level hook on top was duplicate gating with
the wrong taxonomy.
Removed:
- src/main/agent-runtime/approval-hook.ts (entire file, 137 LOC)
- `beforeToolCall` conditional in worker-runner.ts and the
corresponding RPC method in worker-types.ts and runtime-bridge.ts
- `approvalHook` field + `resolveApproval` callback + shutdown
`cancelAll` in runtime-bridge.ts / service-graph-pi-runtime.ts /
wire-api-server.ts
Unchanged:
- `dangerous_command` approval type itself (still used by automation
workflows and routes-misc.ts)
- CEO mode (already never attached the hook)
- All business-level approval types and their wiring
The earlier sweep cleaned the hot path (worker/runtime/automation/api-
server/ipc core — 59 sites). This pass finishes the deferred long tail:
main/* services, database/* CRUD modules, api-server/* routes, ipc-*
handlers, thread-integration, automation helpers, browser, skills.
Default strategy: catch (error) { logger.warn("[module] context:", ...) }
— preserve current behavior, make the failure visible instead of
silently hidden. Widened 3 logger interface signatures to include warn
where callers only passed info/error previously (thread-helpers,
host-environment-service, ipc-domain-common).
Legitimate boundaries left intact: JSON.parse on untrusted input, DNS
resolver no-records paths, explicit safe* helpers (safeJson, parseJson,
parseTriggerDetail), URL-parse predicates, and `<unserialisable>`
fallbacks inside the prompt-builder summarisers. Each kept catch now
either has a reason in context or is a documented safe* helper.
Tests adjusted only where test-constructed no-op loggers needed a warn
stub (message-dispatch, company-mode-switch, ipc-agent-graph-handlers).
With the earlier pass, AgentCompany no longer has silently-swallowing
catch blocks in main-process or renderer business code.
Cost was written through three independent paths: worker-runner shipped
`finalUsage.costUsd` in run-finished -> finishRun wrote `runs.cost_usd`,
`tasks.cost_usd += costUsd`, `agents.spent_monthly_usd += costUsd`, and
inserted a per-run aggregate row in cost_entries. CostWriter
additionally inserted per-message rows in cost_entries from main. Any
CostWriter failure created silent drift between `SUM(cost_entries)`
(read by budget enforcement) and `runs.cost_usd` (read by the UI).
Make CostWriter the single writer, finishRun the single reader.
- Add `db.recordCostEntry(...)` as the first-class insert path for
per-message cost rows. CostWriter calls it; tests call it directly.
- Remove the aggregate INSERT from finishRun. finishRun now reads
`SELECT COALESCE(SUM(amount_usd), 0) FROM cost_entries WHERE run_id=?
AND unattributed=0` and writes that as the authoritative run total to
runs.cost_usd, tasks.cost_usd, and agents.spent_monthly_usd.
- Drop `costUsd` from `finishRun` input, the worker `run-finished`
ChildMessage shape, the automation `RunFinishedEvent` type, and every
caller + test fixture. Cost is owned by the per-message path.
- worker-runner stops extracting `usage.cost.total` — token counts stay
for session accumulation, cost comes from pi-ai via CostWriter.
- run-finished-helpers now gates budget incident checks on
`event.status === "succeeded"` instead of a cost field that no longer
exists on the event.
- automation-run-completion fires `budget_threshold` on every succeeded
run (post-run spent_monthly_usd already reflects the SUM path).
- Update budget tests to write a `recordCostEntry` before `finishRun`
to simulate the per-message cost path; drop `costUsd` from cross-
subsystem, edge-case-budget, database, and related fixtures.
One writer, one reader, one source of truth. No drift.
An earlier cleanup deleted HumanApprovalHook wholesale on the rationale
that the body always returned {}. That was the stub implementation, not
the feature: 版本更新.md specifies AI Co-Founder mode as "human-reviewed
execution that pauses until human review arrives". With no beforeToolCall
attached, Co-Founder and CEO modes behaved identically — a silent
regression of the product's core differentiator.
Bring the hook back with real gating logic and split the Agent
construction path by execution mode so CEO runs pay zero IPC overhead.
- HumanApprovalHook.before(): create a `dangerous_command` approval row
for non-whitelisted tool calls, emit approval-updated, return a promise
that resolves when a human decides.
- AUTO_APPROVED_TOOLS whitelist: read/ls/glob/grep/find/tree. Anything
else (bash, write, edit, …) waits for human approval.
- approvalHook.resolveApproval(): invoked from wire-api-server's
onApprovalResolved *before* automation and thread follow-ups, so the
pi Agent unblocks the instant the human decides.
- approvalHook.cancelAll(): release every pending wait on shutdown so the
worker can drain cleanly; wired into service-graph-pi-runtime.release.
- worker-runner: attach beforeToolCall only when job.executionMode ===
"ai_cofounder". CEO mode constructs Agent with no hook, no RPC hops.
- WorkerRpcClient.invoke: accept per-call timeoutMs override so approval
RPCs can wait 30min instead of the 30s default.
- worker-types schema: restore beforeToolCall in the method enum.
- RuntimeBridge.handleRpc: restore beforeToolCall branch.
No changes to approval DB schema, approval lifecycle, or existing
automation/thread handling. CEO-mode runs retain zero-IPC-per-tool
behavior from the prior cleanup.
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.
karpathy-guidelines pass — never guess at types, read the source.
Root cause of the silent "等待日志输出" Console:
1. runtime-bridge's projectAgentEventToLogChunk switched on event types
that never exist in pi. Real types per pi-mono-reference/packages/
agent/src/types.ts `AgentEvent`:
agent_start / agent_end / turn_start / turn_end
message_start / message_update / message_end
tool_execution_start / tool_execution_update / tool_execution_end
(NOT the `assistant_message_delta` / `tool_call_start` / `error` I
invented.) Every case therefore fell through to `default → null`,
so zero log chunks were emitted even when the agent was streaming
tokens.
Rewrote the switch to match the real union. Streaming assistant
text and thinking now route through `message_update` ->
`assistantMessageEvent.text_delta` / `thinking_delta` (see
pi-mono-reference/packages/ai/src/types.ts `AssistantMessageEvent`
for the inner protocol). Tool activity routes through
`tool_execution_start` / `tool_execution_end`.
2. worker-runner had no Console-visible breadcrumbs between
`run-status: running` and eventual turn output, so when the agent
stalled (credential fetch, model resolution, first API call) the
user saw a bare "RUNNING" with no clue where time was being spent.
Added 5 targeted `run-log` probes:
[runner] starting run ...
[runner] prepareRun ok, resolving model
[runner] model=... provider=... — constructing Agent
[pi-event] <type> (inside agent.subscribe, one per event)
[runner] calling agent.prompt (N chars)
[runner] agent.prompt resolved
These are structured runtime signals, not test/mockup data. They
surface the exact phase a stuck run is in.
typecheck 0 / lint 0-0 / test:unit 508/508 / build:verify 0-0.
Two coupled user-visible defects were fixed.
1. Every tool call (shell / edit / write / read / ...) triggered a
synchronous human-approval prompt under BOTH execution modes. The
worker blocked inside pi's beforeToolCall waiting on a DB approval
row, so runs never progressed — "等待日志输出" forever.
The execution-mode contract is now enforced:
- AI CEO → fully autonomous, no framework gate.
- AI Co-Founder → still fully autonomous at the pi layer. Human
review is a model-driven decision (LLM calls an explicit
`request_approval` tool when it judges review necessary), not
a framework-level interrupt.
HumanApprovalHook collapses to a no-op `before` / `after` /
`cancelAll`. All machinery that queued `dangerous_command`
approvals from the worker-side hook is removed. No more starving
the agent on `node -e` self-call checks.
2. The Console panel only subscribed to `run-log` stdout/stderr
chunks, so pi's agent-event stream (assistant_message_delta,
tool_call_start/end, errors, turn_end) produced zero visible
output. With bug (1) fixed, runs now execute — but the user
would still see a blank Console.
runtime-bridge.handleAgentEvent now projects each meaningful
agent-event into a run-log chunk (assistant_message_delta → raw
delta, tool_call_start → `[tool:bash] {args}`, tool_call_end →
`[tool:done|error:name] {result}`, error → stderr). ConsoleView
picks these up via the existing run-log DesktopEvent pipe with
no renderer change.
tests/unit/approval-hook.test.ts rewritten to assert the new
autonomous contract (before always returns {}, no approval rows
written, cancelAll is a no-op). Tests 508/508 pass.
typecheck 0 / lint 0-0 / build:verify 0-0.
pi-ai's getModel/getModels does not know about the Fireworks providers
(fireworks, fireworks-firepass); both live under our local model-resolver
because Fireworks speaks the Anthropic-compat endpoint with Bearer auth
at https://api.fireworks.ai/inference, not pi-ai's built-in catalog.
Three call sites were still hitting pi-ai directly and failing silently
for Fireworks:
1. connector-model-policy.ts — listProviderModels() caught the pi-ai
throw and returned []. The "Fire Pass (CEO runtime)" card in the
Team Models onboarding step therefore showed "暂无模型 / 已启用 0/0",
blocking users on Fire Pass from continuing onboarding.
2. worker/worker-runner.ts — getModel() threw mid-run when the selected
connector was Fireworks, so the worker could never actually execute
an agent turn against Fire Pass or the curated Fireworks model set.
Now uses resolveModel() + the Fireworks-specific Bearer header from
resolveExtraStreamHeaders() so streamSimple hits the correct endpoint
with the correct auth.
3. agent-runtime/cost-writer.ts — cost observation silently wrote
amount_usd=null for Fireworks runs because getModel() threw inside
the try/catch. Now resolves via resolveModel() so the Fireworks
curated contextWindow/maxTokens are visible to calculateCost().
Verification: pnpm typecheck 0 / pnpm lint 0-0 / pnpm build:verify 0-0
/ pnpm test:unit 508/508.
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.
- credential-resolver.resolve: throw explicit CREDENTIAL_INVALID when
the connector has no auth schema, and add a default branch so the
switch has a definitive return path for every auth kind
- credential-resolver api_key branch: guard definition.provider being
unset before calling pi-ai's getEnvApiKey
- cost-writer: only attempt cost lookup when definition.provider is
defined; adapter-only connectors still write an unattributed row
P3-56: three call sites repeated the same 'lookup → fall back to
new → set if missing' dance for session stores. The duplication hid the
fact that the fallback allocation in the second and third sites could
be wasted when the entry already existed. Extract a single
getOrCreateStore helper that does one map lookup, one conditional
construction, and always returns the cached instance.
ZacharyZhang-NY