d6de1c369a
* 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.
1019 lines
39 KiB
TypeScript
1019 lines
39 KiB
TypeScript
/**
|
||
* 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 1–2 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],
|
||
}),
|
||
});
|
||
},
|
||
});
|