Files
shockbot/agents/opencode.ts
T
Colin McDonnell ca913c76ea spawn: kill process group + heartbeat subagent activity (#631)
* spawn: kill process group + heartbeat subagent activity

two compounding bugs produced zombie agent runs that stalled until the
GitHub-Actions job-level timeout (observed on PR #622, run 25577068620).

1. SIGKILL hit the wrong process. node_modules/opencode-ai/bin/opencode
   is a Node shim that spawnSyncs the native opencode-<plat>-<arch>
   binary with stdio:"inherit". our spawn() ran without detached, so
   child.kill("SIGKILL") killed only the shim. the native binary was
   reparented to PID 1, kept holding our stdout pipe via inherited fds,
   and child.on("close") never fired — leaving the agent promise
   pending past the 5min outer safety-net timer ("agent still pending
   5min after inner activity kill — forcing exit") and the grandchild
   running until the runner timed out.

   fix: SpawnOptions gains killGroup; when set, we spawn detached and
   route all kill paths (timeout, activity timeout, ctrl-c) through
   process.kill(-pid, signal). opencode + claude opt in.

2. inner activity timer false-fired during long task subagents.
   opencode's `task` tool encapsulates subagent execution in-process —
   subagent-internal events don't reach the parent NDJSON stream — so
   the parent looked idle for the full subagent duration even when
   real work was happening, and the 5min DEFAULT_ACTIVITY_TIMEOUT_MS
   would fire mid-subagent.

   fix: SpawnOptions gains externalActivitySource; the timer fires on
   min(local stdout idle, external idle). opencode passes getIdleMs()
   from the global activity tracker and runs a 30s heartbeat
   (markActivity()) while at least one task dispatch is in flight.

action/utils/subprocess.test.ts covers both: a bash+sleep grandchild
that proves close fires <10s with killGroup, and externalActivitySource
keeping the timer armed during 8s of stdout silence.

* opencode: suspend activity timer instead of heartbeat during subagent runs

addresses review on prior commit: replace the 30s markActivity()
heartbeat with a boolean isPausedExternally predicate keyed off
opencode's existing taskDispatchByCallID + pendingTaskDispatches.
no fake activity, no race window between a 30s tick and a subagent
that finishes between ticks.

while the predicate returns true, spawn's activity check skips the
kill decision *and* advances lastActivityTime so a clean unpause
can't fire on a stale baseline. tests cover both the suspended case
(8s of stdout silence + activityTimeout=1s but paused → process
exits cleanly) and the resume case (paused for 500ms then unpaused
→ 30s sleep gets killed by activity timeout as normal).
2026-05-08 21:29:22 +00:00

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/**
* OpenCode agent — secure harness around OpenCode CLI.
*
* transparently wraps OpenCode with a security layer:
* - bash: "deny" via OPENCODE_CONFIG_CONTENT (agent cannot shell out)
* - OPENCODE_PERMISSION: filesystem sandbox — deny all external paths except /tmp
* - MCP ShellTool provides restricted shell (filtered env, no secrets)
* - MCP server injected alongside project config (not replacing)
* - ASKPASS handles git auth separately (token never in subprocess env)
*
* the agent process itself gets full env (needs LLM API keys, PATH, etc.).
* security is enforced at the tool layer, not the process layer.
*/
import { execFileSync } from "node:child_process";
import { mkdirSync } from "node:fs";
import { join } from "node:path";
import { performance } from "node:perf_hooks";
import { pullfrogMcpName } from "../external.ts";
import { modelAliases } from "../models.ts";
import { getIdleMs, markActivity } from "../utils/activity.ts";
import { formatJsonValue, log } from "../utils/cli.ts";
import { installFromNpmTarball } from "../utils/install.ts";
import { detectProviderError } from "../utils/providerErrors.ts";
import { addSkill, installBundledSkills } from "../utils/skills.ts";
import { SPAWN_ACTIVITY_TIMEOUT_CODE, SpawnTimeoutError, spawn } from "../utils/subprocess.ts";
import { ThinkingTimer } from "../utils/timer.ts";
import type { TodoTracker } from "../utils/todoTracking.ts";
import { getDevDependencyVersion } from "../utils/version.ts";
import { buildLearningsReflectionPrompt, runPostRunRetryLoop } from "./postRun.ts";
import { REVIEWER_AGENT_NAME, REVIEWER_SYSTEM_PROMPT } from "./reviewer.ts";
import { formatWithLabel, ORCHESTRATOR_LABEL, SessionLabeler } from "./sessionLabeler.ts";
import {
type AgentResult,
type AgentRunContext,
type AgentUsage,
agent,
logTokenTable,
MAX_STDERR_LINES,
} from "./shared.ts";
async function installOpencodeCli(): Promise<string> {
return await installFromNpmTarball({
packageName: "opencode-ai",
version: getDevDependencyVersion("opencode-ai"),
executablePath: "bin/opencode",
installDependencies: true,
});
}
// ── config ─────────────────────────────────────────────────────────────────────
type OpenCodeConfig = {
mcp?: Record<string, unknown>;
permission?: Record<string, unknown>;
provider?: Record<string, unknown>;
agent?: Record<string, unknown>;
model?: string;
enabled_providers?: string[];
[key: string]: unknown;
};
/**
* Per-inference `max_tokens` reservation the agent sends to the upstream
* model. OpenCode's default is 32_000 (sized for long-running TUI sessions
* where a human user might want big outputs). Pullfrog runs are headless and
* short — typical outputs are 1-3K tokens — so we cap at 5_000. This
* drastically reduces the upfront budget reservation OpenRouter requires per
* call (~$0.38 vs ~$2.40 for Opus), which is what lets low-wallet runs
* actually start.
*
* Plumbed via `OPENCODE_EXPERIMENTAL_OUTPUT_TOKEN_MAX` env var rather than the
* config JSON. OpenCode's `OUTPUT_TOKEN_MAX` (session/llm.ts) is sourced
* exclusively from this env var; top-level `limit.output` in the config
* has no read site and is silently dropped on merge.
*/
const PULLFROG_OPENCODE_OUTPUT_LIMIT = 5000;
function buildSecurityConfig(ctx: AgentRunContext, model: string | undefined): string {
const config: OpenCodeConfig = {
permission: {
bash: "deny",
edit: "allow",
read: "allow",
webfetch: "allow",
external_directory: "allow",
skill: "allow",
},
mcp: {
[pullfrogMcpName]: { type: "remote", url: ctx.mcpServerUrl },
},
agent: buildReviewerAgentConfig(),
};
if (model) {
config.model = model;
const slashIndex = model.indexOf("/");
if (slashIndex > 0) {
config.enabled_providers = [model.slice(0, slashIndex).toLowerCase()];
}
}
return JSON.stringify(config);
}
/**
* Read-only subagent for self-review and /anneal lens dispatch. The
* non-mutative + non-recursive contract is enforced by the prose system
* prompt — see action/agents/reviewer.ts for why we no longer wire per-agent
* tool/permission denies here.
*/
function buildReviewerAgentConfig(): Record<string, unknown> {
return {
[REVIEWER_AGENT_NAME]: {
description:
"Read-only review subagent for self-review and lens-based code review. " +
"Reads only — no writes, no state-changing shell or MCP calls, no nested subagent dispatch.",
mode: "subagent",
prompt: REVIEWER_SYSTEM_PROMPT,
},
};
}
// ── model auto-select fallback ──────────────────────────────────────────────────
//
// steps 12 of model resolution (PULLFROG_MODEL env, slug resolution) are handled
// by resolveModel() in utils/agent.ts before the agent runs. this fallback only
// handles step 3: auto-select via `opencode models`.
function getOpenCodeModels(cliPath: string): string[] {
try {
const output = execFileSync(cliPath, ["models"], {
encoding: "utf-8",
timeout: 30_000,
env: process.env,
});
return output
.split("\n")
.map((line) => line.trim())
.filter(Boolean);
} catch (error) {
log.debug(
`» failed to run \`opencode models\`: ${error instanceof Error ? error.message : String(error)}`
);
return [];
}
}
const AUTO_SELECT_WARNING =
"select a model explicitly in the Pullfrog console (https://pullfrog.com/console) to avoid this.";
function autoSelectModel(cliPath: string): string | undefined {
const availableModels = getOpenCodeModels(cliPath);
const availableSet = new Set(availableModels);
if (availableSet.size > 0) {
log.debug(`» opencode models (${availableSet.size}): ${availableModels.join(", ")}`);
const match =
modelAliases.find((a) => a.preferred && availableSet.has(a.resolve)) ??
modelAliases.find((a) => availableSet.has(a.resolve));
if (match) {
log.info(
`» model: ${match.resolve} (auto-selected${match.preferred ? " — preferred" : ""} curated match)`
);
log.warning(`» model auto-selected. ${AUTO_SELECT_WARNING}`);
return match.resolve;
}
log.info(
`» opencode has ${availableSet.size} models but none match curated aliases — letting OpenCode auto-select`
);
}
log.warning(`» no model resolved. letting OpenCode auto-select. ${AUTO_SELECT_WARNING}`);
return undefined;
}
// ── NDJSON event types ─────────────────────────────────────────────────────────
interface OpenCodeInitEvent {
type: "init";
timestamp?: string;
session_id?: string;
model?: string;
[key: string]: unknown;
}
interface OpenCodeMessageEvent {
type: "message";
timestamp?: string;
role?: "user" | "assistant";
content?: string;
delta?: boolean;
[key: string]: unknown;
}
interface OpenCodeTextEvent {
type: "text";
timestamp?: string;
sessionID?: string;
part?: { id?: string; type?: string; text?: string; [key: string]: unknown };
[key: string]: unknown;
}
interface OpenCodeStepStartEvent {
type: "step_start";
timestamp?: string;
sessionID?: string;
part?: { id?: string; type?: string; [key: string]: unknown };
[key: string]: unknown;
}
interface OpenCodeStepFinishEvent {
type: "step_finish";
timestamp?: string;
sessionID?: string;
part?: {
id?: string;
type?: string;
reason?: string;
cost?: number;
tokens?: {
input?: number;
output?: number;
reasoning?: number;
cache?: { read?: number; write?: number };
};
[key: string]: unknown;
};
[key: string]: unknown;
}
interface OpenCodeToolUseEvent {
type: "tool_use";
timestamp?: number;
sessionID?: string;
part?: {
id?: string;
callID?: string;
tool?: string;
state?: { status?: string; input?: unknown; output?: string };
};
[key: string]: unknown;
}
interface OpenCodeToolResultEvent {
type: "tool_result";
timestamp?: number;
sessionID?: string;
part?: { callID?: string; state?: { status?: string; output?: string } };
tool_id?: string;
status?: "success" | "error";
output?: string;
[key: string]: unknown;
}
interface OpenCodeResultEvent {
type: "result";
timestamp?: string;
status?: "success" | "error";
stats?: {
total_tokens?: number;
input_tokens?: number;
output_tokens?: number;
duration_ms?: number;
tool_calls?: number;
};
[key: string]: unknown;
}
interface OpenCodeErrorEvent {
type: "error";
timestamp?: string;
sessionID?: string;
// opencode emits the error message under `error.data.message`, not at the
// top level. see anomalyco/opencode packages/opencode/src/cli/cmd/run.ts.
error?: {
name?: string;
data?: { message?: string; [key: string]: unknown };
[key: string]: unknown;
};
[key: string]: unknown;
}
type OpenCodeEvent =
| OpenCodeInitEvent
| OpenCodeMessageEvent
| OpenCodeTextEvent
| OpenCodeStepStartEvent
| OpenCodeStepFinishEvent
| OpenCodeToolUseEvent
| OpenCodeToolResultEvent
| OpenCodeResultEvent
| OpenCodeErrorEvent;
// ── runner ──────────────────────────────────────────────────────────────────────
type RunParams = {
label: string;
cliPath: string;
args: string[];
cwd: string;
env: Record<string, string | undefined>;
todoTracker?: TodoTracker | undefined;
onActivityTimeout?: (() => void) | undefined;
onToolUse?: ((event: { toolName: string; input: unknown }) => void) | undefined;
};
async function runOpenCode(params: RunParams): Promise<AgentResult> {
const startTime = performance.now();
let eventCount = 0;
const thinkingTimer = new ThinkingTimer();
let finalOutput = "";
let accumulatedTokens = { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 };
// per-step `part.cost` sums across the whole session. sourced from models.dev
// inside opencode — present for every supported provider (Anthropic, OpenAI,
// Google, xAI, DeepSeek, Moonshot, OpenRouter sub-providers, etc.).
let accumulatedCostUsd = 0;
let tokensLogged = false;
const toolCallTimings = new Map<string, number>();
let currentStepId: string | null = null;
let currentStepType: string | null = null;
let stepHistory: Array<{ stepId: string; stepType: string; toolCalls: string[] }> = [];
// per-session labeler so parallel subagent log lines can be differentiated.
// the orchestrator's task tool_use events seed the labeler; the next
// previously-unseen sessionID consumes the head of the pending-label queue.
// NB: opencode's runtime currently encapsulates subagent execution inside
// the `task` tool — subagent-internal tool_use/tool_result events do not
// surface on the parent's NDJSON stream. The labeler is therefore mostly
// dormant in practice for opencode (no per-event session differentiation
// is needed because there are no per-subagent events). The orchestrator's
// `task` dispatch log (with `description: <lens>`) and the per-task
// duration log below are the actual attribution surface available today.
// The labeler is kept in place defensively so that if/when opencode begins
// streaming subagent sessions, attribution flips on with no further work.
const labeler = new SessionLabeler();
function eventLabel(event: Record<string, unknown>): string {
const sid = event.sessionID ?? event.session_id;
return labeler.labelFor(typeof sid === "string" ? sid : null);
}
function withLabel(label: string, message: string): string {
return label === ORCHESTRATOR_LABEL ? message : formatWithLabel(label, message);
}
// tracks per-task dispatch metadata so the matching tool_result can log a
// labeled "» subagent finished: lens=X duration=Ys" line. this is the most
// useful per-lens observability available given that subagent-internal
// events aren't streamed.
//
// matching strategy is hybrid because opencode does NOT reliably emit a
// tool_result with a callID equal to the originating tool_use.callID for
// the `task` tool (verified empirically in T3 — 5 task dispatches recorded
// here, 0 finish lines fired, yet aggregation succeeded so results did
// arrive on the stream). we keep an exact-match Map for the fast path, and
// also a FIFO queue for the fallback path where the callID mismatches.
// the queue + map share entries by reference so popping one removes both.
interface TaskDispatch {
label: string;
startedAt: number;
toolUseCallID: string;
}
const taskDispatchByCallID = new Map<string, TaskDispatch>();
const pendingTaskDispatches: TaskDispatch[] = [];
// every non-task tool_use callID we've observed. lets us tell, on a
// tool_result, whether its callID belongs to a known non-task tool (in
// which case we never fall back to FIFO) or is unrecognised (in which case
// a long-output result is a strong "this is probably a task result with a
// mismatched callID" signal).
const knownNonTaskCallIDs = new Set<string>();
// a subagent is "in flight" while at least one `task` tool_use is awaiting
// its tool_result. used to suspend spawn's activity timer (which only sees
// opencode's stdout) so a long-running subagent — whose internal events
// don't surface on the parent NDJSON stream — can't trip the 5min timeout.
// boolean state instead of a heartbeat so there's no race window between a
// periodic tick and a subagent that finishes between ticks.
function isSubagentInFlight(): boolean {
return taskDispatchByCallID.size > 0 || pendingTaskDispatches.length > 0;
}
function emitSubagentFinished(
dispatch: TaskDispatch,
status: string,
output: unknown,
matchKind: "exact" | "fifo"
) {
const subagentDuration = performance.now() - dispatch.startedAt;
const outputStr = typeof output === "string" ? output : "";
const outputPreview = outputStr.length > 120 ? `${outputStr.slice(0, 120)}` : outputStr;
const matchSuffix = matchKind === "fifo" ? " [fifo-matched]" : "";
log.info(
`» subagent finished: ${dispatch.label} (${(subagentDuration / 1000).toFixed(1)}s, status=${status})${matchSuffix}` +
(outputPreview ? `${outputPreview.replace(/\n/g, " ")}` : "")
);
taskDispatchByCallID.delete(dispatch.toolUseCallID);
const idx = pendingTaskDispatches.indexOf(dispatch);
if (idx >= 0) pendingTaskDispatches.splice(idx, 1);
}
function buildUsage(): AgentUsage | undefined {
const totalInput =
accumulatedTokens.input + accumulatedTokens.cacheRead + accumulatedTokens.cacheWrite;
return totalInput > 0 || accumulatedTokens.output > 0
? {
agent: "pullfrog",
inputTokens: totalInput,
outputTokens: accumulatedTokens.output,
cacheReadTokens: accumulatedTokens.cacheRead || undefined,
cacheWriteTokens: accumulatedTokens.cacheWrite || undefined,
costUsd: accumulatedCostUsd > 0 ? accumulatedCostUsd : undefined,
}
: undefined;
}
const handlers = {
init: (event: OpenCodeInitEvent) => {
// bind this sessionID to a label so subsequent events (tool_use,
// tool_result, text, message) route to the right prefix. for the
// first session this is "orchestrator"; for subagents it pops from
// the pending-dispatch queue.
const label = labeler.labelFor(event.session_id ?? null);
log.debug(
withLabel(
label,
`» ${params.label} init: session_id=${event.session_id || "unknown"}, model=${event.model || "unknown"}`
)
);
log.debug(withLabel(label, `» ${params.label} init event (full): ${JSON.stringify(event)}`));
// only reset run-wide state on the orchestrator's init — child sessions
// emit their own init events and we don't want them to clobber the
// parent's accumulated counters.
if (label === ORCHESTRATOR_LABEL) {
finalOutput = "";
accumulatedTokens = { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 };
accumulatedCostUsd = 0;
tokensLogged = false;
} else {
log.info(`» ${params.label} subagent init: ${label} (session ${event.session_id || "?"})`);
}
},
message: (event: OpenCodeMessageEvent) => {
const label = eventLabel(event);
if (event.role === "assistant" && event.content?.trim()) {
const message = event.content.trim();
if (event.delta) {
log.debug(
withLabel(
label,
`» ${params.label} thinking: ${message.substring(0, 300)}${message.length > 300 ? "..." : ""}`
)
);
} else {
log.debug(
withLabel(
label,
`» ${params.label} message (${event.role}): ${message.substring(0, 100)}${message.length > 100 ? "..." : ""}`
)
);
// same reasoning as `text` handler — only orchestrator's non-delta
// assistant message is the run output; subagent reports stay scoped
// to the box / debug log.
if (label === ORCHESTRATOR_LABEL) {
finalOutput = message;
}
}
} else if (event.role === "user") {
log.debug(
withLabel(
label,
`» ${params.label} message (${event.role}): ${event.content?.substring(0, 100) || ""}${event.content && event.content.length > 100 ? "..." : ""}`
)
);
}
},
text: (event: OpenCodeTextEvent) => {
if (event.part?.text?.trim()) {
const message = event.part.text.trim();
const label = eventLabel(event);
const boxTitle = label === ORCHESTRATOR_LABEL ? params.label : `${params.label} [${label}]`;
log.box(message, { title: boxTitle });
// only the orchestrator's final text is the run's "output" — children
// emit their own text on report-back, which would clobber the parent's
// final answer if we accepted any text into finalOutput.
if (label === ORCHESTRATOR_LABEL) {
finalOutput = message;
}
}
},
step_start: (event: OpenCodeStepStartEvent) => {
const stepType = event.part?.type || "unknown";
const stepId = event.part?.id || "unknown";
currentStepId = stepId;
currentStepType = stepType;
stepHistory.push({ stepId, stepType, toolCalls: [] });
},
step_finish: async (event: OpenCodeStepFinishEvent) => {
const stepId = event.part?.id || "unknown";
const eventTokens = event.part?.tokens;
if (eventTokens) {
accumulatedTokens.input += eventTokens.input || 0;
accumulatedTokens.output += eventTokens.output || 0;
accumulatedTokens.cacheRead += eventTokens.cache?.read || 0;
accumulatedTokens.cacheWrite += eventTokens.cache?.write || 0;
}
// step_finish.part.cost is a per-step delta (not a running total) —
// OpenCode emits varying per-event values that sum to the session cost.
// verified empirically across Anthropic, OpenAI, Gemini, xAI, DeepSeek,
// Moonshot, and OpenRouter (see pullfrog-baseline/opencode-*.log).
// guard against NaN/Infinity — a single poison value would make the
// running total un-recoverable for the rest of the session.
if (typeof event.part?.cost === "number" && Number.isFinite(event.part.cost)) {
accumulatedCostUsd += event.part.cost;
}
if (currentStepId === stepId) {
currentStepId = null;
currentStepType = null;
}
},
tool_use: (event: OpenCodeToolUseEvent) => {
const toolName = event.part?.tool;
const toolId = event.part?.callID;
if (!toolName || !toolId) {
log.info(
`» tool_use event missing toolName or toolId: ${JSON.stringify(event).substring(0, 500)}`
);
return;
}
// when the orchestrator dispatches a subagent via the `task` tool, push
// a label for the upcoming child session so its events are attributable.
// record BEFORE label lookup: this event's session is the parent (whose
// label is already bound); the dispatch label is for the next new
// sessionID that appears.
if (toolName === "task") {
const taskInput = (event.part?.state?.input ?? {}) as {
description?: string;
subagent_type?: string;
prompt?: string;
};
const dispatchedLabel = labeler.recordTaskDispatch(taskInput);
// dual-index by callID (fast path) AND in a FIFO queue (fallback path
// for when opencode's task tool_result carries a different callID).
const dispatch: TaskDispatch = {
label: dispatchedLabel,
startedAt: performance.now(),
toolUseCallID: toolId,
};
taskDispatchByCallID.set(toolId, dispatch);
pendingTaskDispatches.push(dispatch);
log.info(
`» dispatching subagent: ${dispatchedLabel}` +
(taskInput.subagent_type ? ` (subagent_type=${taskInput.subagent_type})` : "")
);
} else {
// remember non-task callIDs so a later tool_result with that callID
// is correctly identified as not-a-task (and we don't FIFO-pop a
// pending task by mistake).
knownNonTaskCallIDs.add(toolId);
}
const label = eventLabel(event);
if (stepHistory.length > 0) {
stepHistory[stepHistory.length - 1]!.toolCalls.push(toolName);
}
if (params.onToolUse) {
params.onToolUse({
toolName,
input: event.part?.state?.input,
});
}
thinkingTimer.markToolCall();
const inputFormatted = formatJsonValue(event.part?.state?.input || {});
const toolCallLine =
inputFormatted !== "{}" ? `» ${toolName}(${inputFormatted})` : `» ${toolName}()`;
log.info(withLabel(label, toolCallLine));
if (event.part?.state?.status === "completed" && event.part.state.output) {
log.debug(withLabel(label, ` output: ${event.part.state.output}`));
}
// agent's explicit MCP report_progress takes priority over todo tracking
if (toolName.includes("report_progress") && params.todoTracker) {
log.debug("» report_progress detected, disabling todo tracking");
params.todoTracker.cancel();
}
// parse todowrite events for live progress tracking
if (toolName === "todowrite" && params.todoTracker?.enabled) {
params.todoTracker.update(event.part?.state?.input);
}
},
tool_result: (event: OpenCodeToolResultEvent) => {
const toolId = event.part?.callID || event.tool_id;
const status = event.part?.state?.status || event.status || "unknown";
const output = event.part?.state?.output || event.output;
const label = eventLabel(event);
thinkingTimer.markToolResult();
// surface subagent completion at info level — opencode otherwise hides
// per-task timing in debug-only logs, so a parallel multi-lens fan-out
// looks like N dispatches followed by a long quiet gap then a single
// assistant turn. with this line you can see each lens finishing.
//
// matching is hybrid: exact callID first; FIFO fallback when the
// tool_result's callID is unrecognised. opencode does not consistently
// surface matching callIDs for the `task` tool, so the FIFO path is the
// one that fires in practice. we only fall through to FIFO when the
// callID is brand-new (not in `knownNonTaskCallIDs`) so genuinely
// non-task tool_results never accidentally pop a pending task.
if (taskDispatchByCallID.size > 0 || pendingTaskDispatches.length > 0) {
if (toolId && taskDispatchByCallID.has(toolId)) {
const dispatch = taskDispatchByCallID.get(toolId);
if (dispatch) emitSubagentFinished(dispatch, status, output, "exact");
} else {
const callIDIsKnownNonTask = toolId ? knownNonTaskCallIDs.has(toolId) : false;
if (!callIDIsKnownNonTask && pendingTaskDispatches.length > 0) {
const dispatch = pendingTaskDispatches[0]!;
emitSubagentFinished(dispatch, status, output, "fifo");
}
}
}
if (toolId) {
const toolStartTime = toolCallTimings.get(toolId);
if (toolStartTime) {
const toolDuration = performance.now() - toolStartTime;
toolCallTimings.delete(toolId);
const stepContext = currentStepId ? ` (step=${currentStepType || "unknown"})` : "";
log.debug(
withLabel(
label,
`» ${params.label} tool_result${stepContext}: id=${toolId}, status=${status}, duration=${Math.round(toolDuration)}ms`
)
);
if (output) {
log.debug(
withLabel(
label,
` output: ${typeof output === "string" ? output : JSON.stringify(output)}`
)
);
}
if (toolDuration > 5000) {
log.info(
withLabel(
label,
`» tool call took ${(toolDuration / 1000).toFixed(1)}s - may indicate network latency`
)
);
}
}
}
if (status === "error") {
const errorMsg = typeof output === "string" ? output : JSON.stringify(output);
log.info(withLabel(label, `» tool call failed: ${errorMsg}`));
} else if (output) {
const outputStr = typeof output === "string" ? output : JSON.stringify(output);
log.debug(withLabel(label, `tool output: ${outputStr}`));
}
},
error: (event: OpenCodeErrorEvent) => {
// opencode emits a `type=error` event when a provider call fails (e.g.
// 401 Invalid authentication credentials). the underlying CLI still
// exits 0 because the error was returned cleanly by the LLM SDK, so
// unless we capture this event the run is reported as success.
agentErrorEvent = event;
const errorName = event.error?.name || "unknown";
const errorMessage = event.error?.data?.message || event.error?.name || JSON.stringify(event);
log.info(`» ${params.label} error event: ${errorName}: ${errorMessage}`);
},
result: async (event: OpenCodeResultEvent) => {
const status = event.status || "unknown";
const duration = event.stats?.duration_ms || 0;
const toolCalls = event.stats?.tool_calls || 0;
log.info(
`» ${params.label} result: status=${status}, duration=${duration}ms, tool_calls=${toolCalls}`
);
if (event.status === "error") {
log.info(`» ${params.label} failed: ${JSON.stringify(event)}`);
} else {
// the final `result` event only carries input_tokens/output_tokens and
// no cache breakdown — accumulatedTokens (summed across step_finish
// events) is strictly more accurate, so we prefer it unconditionally.
log.info(`» run complete: tool_calls=${toolCalls}, duration=${duration}ms`);
if (
(accumulatedTokens.input > 0 ||
accumulatedTokens.output > 0 ||
accumulatedTokens.cacheRead > 0 ||
accumulatedTokens.cacheWrite > 0) &&
!tokensLogged
) {
logTokenTable({ ...accumulatedTokens, costUsd: accumulatedCostUsd });
tokensLogged = true;
}
}
},
};
const recentStderr: string[] = [];
let lastProviderError: string | null = null;
let agentErrorEvent: OpenCodeErrorEvent | null = null;
let output = "";
let stdoutBuffer = "";
try {
const result = await spawn({
cmd: params.cliPath,
args: params.args,
cwd: params.cwd,
env: params.env,
activityTimeout: 300_000,
onActivityTimeout: params.onActivityTimeout,
stdio: ["ignore", "pipe", "pipe"],
// node_modules/opencode-ai/bin/opencode is a Node shim that spawnSyncs
// the native opencode-<plat>-<arch> binary with stdio:"inherit". without
// a process-group kill, SIGKILL hits only the shim, the native binary
// is reparented to PID 1, holds our stdout pipe open, and `child.close`
// never fires — producing zombie runs. detached + killGroup nukes the
// whole tree.
killGroup: true,
// suspend the inner activity timer while a `task` subagent is in flight.
// opencode's task tool encapsulates subagent execution in-process — the
// subagent's internal events don't surface on the parent NDJSON stream,
// so without this the 5min timeout would falsely fire mid-subagent.
// suspend/resume is preferable to a heartbeat because there's no race
// between a periodic tick and a subagent finishing between ticks.
isPausedExternally: isSubagentInFlight,
onStdout: async (chunk) => {
const text = chunk.toString();
output += text;
markActivity();
stdoutBuffer += text;
const lines = stdoutBuffer.split("\n");
stdoutBuffer = lines.pop() || "";
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed) continue;
let event: OpenCodeEvent;
try {
event = JSON.parse(trimmed) as OpenCodeEvent;
} catch {
log.debug(`» non-JSON stdout line: ${trimmed.substring(0, 200)}`);
continue;
}
eventCount++;
log.debug(JSON.stringify(event, null, 2));
const timeSinceLastActivity = getIdleMs();
if (timeSinceLastActivity > 10000) {
const activeToolCalls = toolCallTimings.size;
const toolCallInfo =
activeToolCalls > 0
? ` (waiting for ${activeToolCalls} tool call${activeToolCalls > 1 ? "s" : ""})`
: ` (${params.label} may be processing internally - LLM calls, planning, etc.)`;
log.info(
`» no activity for ${(timeSinceLastActivity / 1000).toFixed(1)}s${toolCallInfo} (${eventCount} events processed so far)`
);
}
markActivity();
const handler = handlers[event.type as keyof typeof handlers];
if (!handler) {
log.info(
`» ${params.label} event (unhandled): type=${event.type}, data=${JSON.stringify(event).substring(0, 500)}`
);
continue;
}
try {
await handler(event as never);
} catch (err) {
log.info(
`» ${params.label} handler for type=${event.type} threw: ${err instanceof Error ? err.message : String(err)}`
);
}
}
},
onStderr: (chunk) => {
const trimmed = chunk.trim();
if (!trimmed) return;
recentStderr.push(trimmed);
if (recentStderr.length > MAX_STDERR_LINES) recentStderr.shift();
const providerError = detectProviderError(trimmed);
if (providerError) {
lastProviderError = providerError;
log.info(`» provider error detected (${providerError}): ${trimmed.substring(0, 500)}`);
} else {
log.debug(trimmed);
}
},
});
if (result.exitCode === 0) {
await params.todoTracker?.flush();
} else {
params.todoTracker?.cancel();
}
// any pending task dispatches that never got a matching tool_result are
// surfaced here so the gap is visible rather than silently swallowed.
// this happens when opencode delivers the subagent's reply through a
// path other than tool_result (e.g. inlined into the next assistant
// message). flushing here is best-effort attribution — the durations
// reported are upper bounds (the subagent could have finished any time
// between dispatch and run-end), but the labels and ordering are exact.
//
// NB: the `result` event handler is dead in opencode (opencode never
// emits a `result`-typed event), which is why this flush lives here in
// the post-subprocess block instead.
if (pendingTaskDispatches.length > 0) {
for (const dispatch of [...pendingTaskDispatches]) {
const elapsed = performance.now() - dispatch.startedAt;
log.info(
`» subagent finished (inferred at run-end): ${dispatch.label} (≤${(elapsed / 1000).toFixed(1)}s) — no matching tool_result observed; subagent reply likely arrived via assistant message`
);
}
pendingTaskDispatches.length = 0;
taskDispatchByCallID.clear();
}
const duration = performance.now() - startTime;
log.info(
`» ${params.label} completed in ${Math.round(duration)}ms with exit code ${result.exitCode}`
);
if (eventCount === 0) {
const stderrContext = recentStderr.join("\n");
const diagnosis = lastProviderError
? `provider error: ${lastProviderError}`
: "unknown cause (no stdout events received)";
log.info(`» ${params.label} produced 0 events (${diagnosis})`);
if (stderrContext) log.info(`» last stderr output:\n${stderrContext}`);
}
if (
!tokensLogged &&
(accumulatedTokens.input > 0 ||
accumulatedTokens.output > 0 ||
accumulatedTokens.cacheRead > 0 ||
accumulatedTokens.cacheWrite > 0)
) {
logTokenTable({ ...accumulatedTokens, costUsd: accumulatedCostUsd });
tokensLogged = true;
}
const usage = buildUsage();
if (result.exitCode !== 0) {
const errorContext = lastProviderError ? ` (${lastProviderError})` : "";
const errorMessage =
result.stderr ||
result.stdout ||
`unknown error - no output from OpenCode CLI${errorContext}`;
log.error(
`${params.label} exited with code ${result.exitCode}${errorContext}: ${errorMessage}`
);
log.debug(`stdout: ${result.stdout?.substring(0, 500)}`);
log.debug(`stderr: ${result.stderr?.substring(0, 500)}`);
return { success: false, output: finalOutput || output, error: errorMessage, usage };
}
if (eventCount === 0 && lastProviderError) {
return {
success: false,
output: finalOutput || output,
error: `provider error: ${lastProviderError}`,
usage,
};
}
if (agentErrorEvent) {
const errorEvent: OpenCodeErrorEvent = agentErrorEvent;
const errorName = errorEvent.error?.name || "agent error";
const errorMessage =
errorEvent.error?.data?.message || errorEvent.error?.name || JSON.stringify(errorEvent);
return {
success: false,
output: finalOutput || output,
error: `${errorName}: ${errorMessage}`,
usage,
};
}
return { success: true, output: finalOutput || output, usage };
} catch (error) {
params.todoTracker?.cancel();
const duration = performance.now() - startTime;
const errorMessage = error instanceof Error ? error.message : String(error);
const isActivityTimeout =
error instanceof SpawnTimeoutError && error.code === SPAWN_ACTIVITY_TIMEOUT_CODE;
const stderrContext = recentStderr.slice(-10).join("\n");
const diagnosis = lastProviderError
? `likely cause: ${lastProviderError}`
: eventCount === 0
? "OpenCode produced 0 stdout events - check if the model provider is reachable"
: `${eventCount} events were processed before the hang`;
log.info(
`» ${params.label} ${isActivityTimeout ? "hung" : "failed"} after ${(duration / 1000).toFixed(1)}s: ${errorMessage}`
);
log.info(`» diagnosis: ${diagnosis}`);
if (stderrContext)
log.info(
`» recent stderr (last ${Math.min(recentStderr.length, 10)} lines):\n${stderrContext}`
);
return {
success: false,
output: finalOutput || output,
error: `${errorMessage} [${diagnosis}]`,
usage: buildUsage(),
};
}
}
// ── agent ───────────────────────────────────────────────────────────────────────
export const opencode = agent({
name: "opencode",
install: installOpencodeCli,
run: async (ctx) => {
const cliPath = await installOpencodeCli();
const model = ctx.payload.proxyModel ?? ctx.resolvedModel ?? autoSelectModel(cliPath);
const homeEnv = {
HOME: ctx.tmpdir,
XDG_CONFIG_HOME: join(ctx.tmpdir, ".config"),
};
mkdirSync(join(homeEnv.XDG_CONFIG_HOME, "opencode"), { recursive: true });
const agentBrowserVersion = getDevDependencyVersion("agent-browser");
addSkill({
ref: `vercel-labs/agent-browser@v${agentBrowserVersion}`,
skill: "agent-browser",
env: homeEnv,
agent: "opencode",
});
installBundledSkills({ home: homeEnv.HOME });
// base args shared between initial run and continue runs
const baseArgs = ["run", "--format", "json", "--print-logs"];
// OPENCODE_PERMISSION has absolute highest precedence (merged after managed/MDM configs).
// external_directory gates ALL native filesystem tools (Read, Write, Edit, Glob, Grep, etc.)
// for paths outside the project root. last-match-wins: deny everything, then allow /tmp.
const permissionOverride = JSON.stringify({
external_directory: { "*": "deny", "/tmp/*": "allow" },
});
const env: Record<string, string | undefined> = {
...process.env,
...homeEnv,
OPENCODE_CONFIG_CONTENT: buildSecurityConfig(ctx, model),
OPENCODE_PERMISSION: permissionOverride,
OPENCODE_EXPERIMENTAL_OUTPUT_TOKEN_MAX: PULLFROG_OPENCODE_OUTPUT_LIMIT.toString(),
GOOGLE_GENERATIVE_AI_API_KEY:
process.env.GOOGLE_GENERATIVE_AI_API_KEY || process.env.GEMINI_API_KEY,
};
const repoDir = process.cwd();
log.debug(`» starting Pullfrog (OpenCode): ${cliPath} ${baseArgs.join(" ")}`);
log.debug(`» working directory: ${repoDir}`);
const runParams = {
label: "Pullfrog",
cliPath,
cwd: repoDir,
env,
todoTracker: ctx.todoTracker,
onActivityTimeout: ctx.onActivityTimeout,
onToolUse: ctx.onToolUse,
};
const result = await runOpenCode({
...runParams,
args: [...baseArgs, ctx.instructions.full],
});
// post-run retry loop aggregates usage across the initial run + every
// resume, so the caller sees the whole session — not just the final
// slice. opencode always accepts `--continue`, so no canResume guard.
// the reflection prompt fires once after gates go clean, as a dedicated
// turn that nudges the agent to persist learnings.
return runPostRunRetryLoop({
initialResult: result,
initialUsage: result.usage,
stopScript: ctx.stopScript,
summaryFilePath: ctx.summaryFilePath,
summarySeed: ctx.summarySeed,
reflectionPrompt: buildLearningsReflectionPrompt("opencode"),
resume: async (c) =>
runOpenCode({
...runParams,
args: [...baseArgs, "--continue", c.prompt],
}),
});
},
});