Files
shockbot/agents/opencode.ts
T
Colin McDonnell d6de1c369a learnings: edit-in-place tmpfile (drop update_learnings tool) (#635)
* learnings: edit-in-place tmpfile (drop update_learnings tool)

learnings now follow the PR-summary file pattern: server seeds
`pullfrog-learnings.md` from `Repo.learnings` at startup, agent reads
it as part of context, may edit in place during the post-run reflection
turn, server reads back at end-of-run and PATCHes if changed.

motivation: `update_learnings` required the agent to pass the FULL
merged list as a string parameter — an output-token tax that grew
linearly with the learnings size, and a constant prompt-context
expansion since the contents were also inlined into the LEARNINGS
section. for repos with mature learnings the prompt was getting
visibly noisy in CI logs.

key changes:
- new `action/utils/learnings.ts` (seed/read helpers + 10k cap)
- `main.ts`: always seed; `persistLearnings` mirrors `persistSummary`
  (success path, error path, exit-signal handler, idempotent guard,
  byte-trim equality skip); forwards `model` for `LearningsRevision.model`
- `LEARNINGS` prompt section now contains only the file path + a
  one-line "read it" instruction (no contents inlined)
- `update_learnings` MCP tool deleted; `action/mcp/learnings.ts` removed
- reflection turn (`buildLearningsReflectionPrompt`) reframed around
  file editing with explicit prune-stale + leave-alone-if-nothing-new
  framing
- `learningsStep` removed from every mode checklist — surface lives only
  in the LEARNINGS prompt section + the reflection turn now

* learnings: harden seed step + refresh stale docs (review feedback)

Three findings from PR review, all implemented:

1. wrap learnings seed in best-effort try/catch (action/main.ts) —
   the always-on seed block ran unconditionally and an unwrapped
   `seedLearningsFile` (mkdir + writeFile) failure (ENOSPC, EACCES,
   hostile sandbox) would unwind into the outer main() catch and flip
   an otherwise-successful run to " Pullfrog failed" before the
   agent even started. asymmetric with `persistLearnings`'s own
   best-effort contract. wrap and log on failure; downstream
   consumers (`persistLearnings`, agent harnesses, `resolveInstructions`)
   already handle `learningsFilePath: undefined` cleanly.

2. refresh wiki/main.md — `resolveInstructions` parameter renamed
   from `learnings` to `learningsFilePath` in this PR; the data-flow
   diagram and the resolver dependency table both still showed the
   pre-refactor signature.

3. drop deleted `learnings.ts` from ROADMAP.md + RESEARCH.md
   "missing MCP tool tests" bullets — `action/mcp/learnings.ts` was
   removed in this PR; the bullets are otherwise still accurate.
2026-05-08 22:45:26 +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: ctx.learningsFilePath
? buildLearningsReflectionPrompt(ctx.learningsFilePath)
: undefined,
resume: async (c) =>
runOpenCode({
...runParams,
args: [...baseArgs, "--continue", c.prompt],
}),
});
},
});