refactor(auto-reply): split reply pipeline

This commit is contained in:
Peter Steinberger
2026-01-14 09:11:16 +00:00
parent 1089444807
commit ea018a68cc
26 changed files with 4380 additions and 3285 deletions

View File

@@ -1,32 +1,12 @@
import crypto from "node:crypto";
import fs from "node:fs";
import { resolveAgentModelFallbacksOverride } from "../../agents/agent-scope.js";
import { runCliAgent } from "../../agents/cli-runner.js";
import { getCliSessionId, setCliSessionId } from "../../agents/cli-session.js";
import { setCliSessionId } from "../../agents/cli-session.js";
import { lookupContextTokens } from "../../agents/context.js";
import { DEFAULT_CONTEXT_TOKENS } from "../../agents/defaults.js";
import { resolveModelAuthMode } from "../../agents/model-auth.js";
import { runWithModelFallback } from "../../agents/model-fallback.js";
import { isCliProvider } from "../../agents/model-selection.js";
import { queueEmbeddedPiMessage } from "../../agents/pi-embedded.js";
import { hasNonzeroUsage } from "../../agents/usage.js";
import {
queueEmbeddedPiMessage,
runEmbeddedPiAgent,
} from "../../agents/pi-embedded.js";
import {
isCompactionFailureError,
isContextOverflowError,
} from "../../agents/pi-embedded-helpers.js";
import {
resolveSandboxConfigForAgent,
resolveSandboxRuntimeStatus,
} from "../../agents/sandbox.js";
import { hasNonzeroUsage, type NormalizedUsage } from "../../agents/usage.js";
import { getChannelDock } from "../../channels/dock.js";
import type { ChannelThreadingToolContext } from "../../channels/plugins/types.js";
import { normalizeChannelId } from "../../channels/registry.js";
import type { ClawdbotConfig } from "../../config/config.js";
import {
loadSessionStore,
resolveAgentIdFromSessionKey,
resolveSessionTranscriptPath,
type SessionEntry,
@@ -35,49 +15,35 @@ import {
} from "../../config/sessions.js";
import type { TypingMode } from "../../config/types.js";
import { logVerbose } from "../../globals.js";
import {
emitAgentEvent,
registerAgentRunContext,
} from "../../infra/agent-events.js";
import { isAudioFileName } from "../../media/mime.js";
import { defaultRuntime } from "../../runtime.js";
import { isReasoningTagProvider } from "../../utils/provider-utils.js";
import {
estimateUsageCost,
formatTokenCount,
formatUsd,
resolveModelCostConfig,
} from "../../utils/usage-format.js";
import { stripHeartbeatToken } from "../heartbeat.js";
import { resolveModelCostConfig } from "../../utils/usage-format.js";
import type { OriginatingChannelType, TemplateContext } from "../templating.js";
import { normalizeVerboseLevel, type VerboseLevel } from "../thinking.js";
import { isSilentReplyText, SILENT_REPLY_TOKEN } from "../tokens.js";
import type { VerboseLevel } from "../thinking.js";
import type { GetReplyOptions, ReplyPayload } from "../types.js";
import { runAgentTurnWithFallback } from "./agent-runner-execution.js";
import {
createShouldEmitToolResult,
finalizeWithFollowup,
isAudioPayload,
signalTypingIfNeeded,
} from "./agent-runner-helpers.js";
import { runMemoryFlushIfNeeded } from "./agent-runner-memory.js";
import { buildReplyPayloads } from "./agent-runner-payloads.js";
import {
appendUsageLine,
formatResponseUsageLine,
} from "./agent-runner-utils.js";
import {
createAudioAsVoiceBuffer,
createBlockReplyPipeline,
} from "./block-reply-pipeline.js";
import { resolveBlockStreamingCoalescing } from "./block-streaming.js";
import { createFollowupRunner } from "./followup-runner.js";
import {
resolveMemoryFlushContextWindowTokens,
resolveMemoryFlushSettings,
shouldRunMemoryFlush,
} from "./memory-flush.js";
import {
enqueueFollowupRun,
type FollowupRun,
type QueueSettings,
scheduleFollowupDrain,
} from "./queue.js";
import { parseReplyDirectives } from "./reply-directives.js";
import {
applyReplyTagsToPayload,
applyReplyThreading,
filterMessagingToolDuplicates,
isRenderablePayload,
shouldSuppressMessagingToolReplies,
} from "./reply-payloads.js";
import {
createReplyToModeFilterForChannel,
resolveReplyToMode,
@@ -86,113 +52,8 @@ import { incrementCompactionCount } from "./session-updates.js";
import type { TypingController } from "./typing.js";
import { createTypingSignaler } from "./typing-mode.js";
const BUN_FETCH_SOCKET_ERROR_RE = /socket connection was closed unexpectedly/i;
const BLOCK_REPLY_SEND_TIMEOUT_MS = 15_000;
/**
* Build provider-specific threading context for tool auto-injection.
*/
function buildThreadingToolContext(params: {
sessionCtx: TemplateContext;
config: ClawdbotConfig | undefined;
hasRepliedRef: { value: boolean } | undefined;
}): ChannelThreadingToolContext {
const { sessionCtx, config, hasRepliedRef } = params;
if (!config) return {};
const provider = normalizeChannelId(sessionCtx.Provider);
if (!provider) return {};
const dock = getChannelDock(provider);
if (!dock?.threading?.buildToolContext) return {};
return (
dock.threading.buildToolContext({
cfg: config,
accountId: sessionCtx.AccountId,
context: {
Channel: sessionCtx.Provider,
To: sessionCtx.To,
ReplyToId: sessionCtx.ReplyToId,
ThreadLabel: sessionCtx.ThreadLabel,
},
hasRepliedRef,
}) ?? {}
);
}
const isBunFetchSocketError = (message?: string) =>
Boolean(message && BUN_FETCH_SOCKET_ERROR_RE.test(message));
const formatBunFetchSocketError = (message: string) => {
const trimmed = message.trim();
return [
"⚠️ LLM connection failed. This could be due to server issues, network problems, or context length exceeded (e.g., with local LLMs like LM Studio). Original error:",
"```",
trimmed || "Unknown error",
"```",
].join("\n");
};
const formatResponseUsageLine = (params: {
usage?: NormalizedUsage;
showCost: boolean;
costConfig?: {
input: number;
output: number;
cacheRead: number;
cacheWrite: number;
};
}): string | null => {
const usage = params.usage;
if (!usage) return null;
const input = usage.input;
const output = usage.output;
if (typeof input !== "number" && typeof output !== "number") return null;
const inputLabel = typeof input === "number" ? formatTokenCount(input) : "?";
const outputLabel =
typeof output === "number" ? formatTokenCount(output) : "?";
const cost =
params.showCost && typeof input === "number" && typeof output === "number"
? estimateUsageCost({
usage: {
input,
output,
cacheRead: usage.cacheRead,
cacheWrite: usage.cacheWrite,
},
cost: params.costConfig,
})
: undefined;
const costLabel = params.showCost ? formatUsd(cost) : undefined;
const suffix = costLabel ? ` · est ${costLabel}` : "";
return `Usage: ${inputLabel} in / ${outputLabel} out${suffix}`;
};
const appendUsageLine = (
payloads: ReplyPayload[],
line: string,
): ReplyPayload[] => {
let index = -1;
for (let i = payloads.length - 1; i >= 0; i -= 1) {
if (payloads[i]?.text) {
index = i;
break;
}
}
if (index === -1) return [...payloads, { text: line }];
const existing = payloads[index];
const existingText = existing.text ?? "";
const separator = existingText.endsWith("\n") ? "" : "\n";
const next = {
...existing,
text: `${existingText}${separator}${line}`,
};
const updated = payloads.slice();
updated[index] = next;
return updated;
};
const resolveEnforceFinalTag = (run: FollowupRun["run"], provider: string) =>
Boolean(run.enforceFinalTag || isReasoningTagProvider(provider));
export async function runReplyAgent(params: {
commandBody: string;
followupRun: FollowupRun;
@@ -261,31 +122,16 @@ export async function runReplyAgent(params: {
isHeartbeat,
});
const shouldEmitToolResult = () => {
if (!sessionKey || !storePath) {
return resolvedVerboseLevel === "on";
}
try {
const store = loadSessionStore(storePath);
const entry = store[sessionKey];
const current = normalizeVerboseLevel(entry?.verboseLevel);
if (current) return current === "on";
} catch {
// ignore store read failures
}
return resolvedVerboseLevel === "on";
};
const shouldEmitToolResult = createShouldEmitToolResult({
sessionKey,
storePath,
resolvedVerboseLevel,
});
const pendingToolTasks = new Set<Promise<void>>();
const blockReplyTimeoutMs =
opts?.blockReplyTimeoutMs ?? BLOCK_REPLY_SEND_TIMEOUT_MS;
const hasAudioMedia = (urls?: string[]): boolean =>
Boolean(urls?.some((u) => isAudioFileName(u)));
const isAudioPayload = (payload: ReplyPayload) =>
hasAudioMedia(
payload.mediaUrls ?? (payload.mediaUrl ? [payload.mediaUrl] : undefined),
);
const replyToChannel =
sessionCtx.OriginatingChannel ??
((sessionCtx.Surface ?? sessionCtx.Provider)?.toLowerCase() as
@@ -351,133 +197,20 @@ export async function runReplyAgent(params: {
return undefined;
}
const memoryFlushSettings = resolveMemoryFlushSettings(cfg);
const memoryFlushWritable = (() => {
if (!sessionKey) return true;
const runtime = resolveSandboxRuntimeStatus({ cfg, sessionKey });
if (!runtime.sandboxed) return true;
const sandboxCfg = resolveSandboxConfigForAgent(cfg, runtime.agentId);
return sandboxCfg.workspaceAccess === "rw";
})();
const shouldFlushMemory =
memoryFlushSettings &&
memoryFlushWritable &&
!isHeartbeat &&
!isCliProvider(followupRun.run.provider, cfg) &&
shouldRunMemoryFlush({
entry:
activeSessionEntry ??
(sessionKey ? activeSessionStore?.[sessionKey] : undefined),
contextWindowTokens: resolveMemoryFlushContextWindowTokens({
modelId: followupRun.run.model ?? defaultModel,
agentCfgContextTokens,
}),
reserveTokensFloor: memoryFlushSettings.reserveTokensFloor,
softThresholdTokens: memoryFlushSettings.softThresholdTokens,
});
if (shouldFlushMemory) {
const flushRunId = crypto.randomUUID();
if (sessionKey) {
registerAgentRunContext(flushRunId, {
sessionKey,
verboseLevel: resolvedVerboseLevel,
});
}
let memoryCompactionCompleted = false;
const flushSystemPrompt = [
followupRun.run.extraSystemPrompt,
memoryFlushSettings.systemPrompt,
]
.filter(Boolean)
.join("\n\n");
try {
await runWithModelFallback({
cfg: followupRun.run.config,
provider: followupRun.run.provider,
model: followupRun.run.model,
fallbacksOverride: resolveAgentModelFallbacksOverride(
followupRun.run.config,
resolveAgentIdFromSessionKey(followupRun.run.sessionKey),
),
run: (provider, model) =>
runEmbeddedPiAgent({
sessionId: followupRun.run.sessionId,
sessionKey,
messageProvider:
sessionCtx.Provider?.trim().toLowerCase() || undefined,
agentAccountId: sessionCtx.AccountId,
// Provider threading context for tool auto-injection
...buildThreadingToolContext({
sessionCtx,
config: followupRun.run.config,
hasRepliedRef: opts?.hasRepliedRef,
}),
sessionFile: followupRun.run.sessionFile,
workspaceDir: followupRun.run.workspaceDir,
agentDir: followupRun.run.agentDir,
config: followupRun.run.config,
skillsSnapshot: followupRun.run.skillsSnapshot,
prompt: memoryFlushSettings.prompt,
extraSystemPrompt: flushSystemPrompt,
ownerNumbers: followupRun.run.ownerNumbers,
enforceFinalTag: resolveEnforceFinalTag(followupRun.run, provider),
provider,
model,
authProfileId: followupRun.run.authProfileId,
thinkLevel: followupRun.run.thinkLevel,
verboseLevel: followupRun.run.verboseLevel,
reasoningLevel: followupRun.run.reasoningLevel,
bashElevated: followupRun.run.bashElevated,
timeoutMs: followupRun.run.timeoutMs,
runId: flushRunId,
onAgentEvent: (evt) => {
if (evt.stream === "compaction") {
const phase =
typeof evt.data.phase === "string" ? evt.data.phase : "";
const willRetry = Boolean(evt.data.willRetry);
if (phase === "end" && !willRetry) {
memoryCompactionCompleted = true;
}
}
},
}),
});
let memoryFlushCompactionCount =
activeSessionEntry?.compactionCount ??
(sessionKey ? activeSessionStore?.[sessionKey]?.compactionCount : 0) ??
0;
if (memoryCompactionCompleted) {
const nextCount = await incrementCompactionCount({
sessionEntry: activeSessionEntry,
sessionStore: activeSessionStore,
sessionKey,
storePath,
});
if (typeof nextCount === "number") {
memoryFlushCompactionCount = nextCount;
}
}
if (storePath && sessionKey) {
try {
const updatedEntry = await updateSessionStoreEntry({
storePath,
sessionKey,
update: async () => ({
memoryFlushAt: Date.now(),
memoryFlushCompactionCount,
}),
});
if (updatedEntry) {
activeSessionEntry = updatedEntry;
}
} catch (err) {
logVerbose(`failed to persist memory flush metadata: ${String(err)}`);
}
}
} catch (err) {
logVerbose(`memory flush run failed: ${String(err)}`);
}
}
activeSessionEntry = await runMemoryFlushIfNeeded({
cfg,
followupRun,
sessionCtx,
opts,
defaultModel,
agentCfgContextTokens,
resolvedVerboseLevel,
sessionEntry: activeSessionEntry,
sessionStore: activeSessionStore,
sessionKey,
storePath,
isHeartbeat,
});
const runFollowupTurn = createFollowupRunner({
opts,
@@ -491,13 +224,6 @@ export async function runReplyAgent(params: {
agentCfgContextTokens,
});
const finalizeWithFollowup = <T>(value: T): T => {
scheduleFollowupDrain(queueKey, runFollowupTurn);
return value;
};
let didLogHeartbeatStrip = false;
let autoCompactionCompleted = false;
let responseUsageLine: string | undefined;
const resetSessionAfterCompactionFailure = async (
reason: string,
@@ -540,379 +266,38 @@ export async function runReplyAgent(params: {
return true;
};
try {
const runId = crypto.randomUUID();
if (sessionKey) {
registerAgentRunContext(runId, {
sessionKey,
verboseLevel: resolvedVerboseLevel,
});
const runOutcome = await runAgentTurnWithFallback({
commandBody,
followupRun,
sessionCtx,
opts,
typingSignals,
blockReplyPipeline,
blockStreamingEnabled,
blockReplyChunking,
resolvedBlockStreamingBreak,
applyReplyToMode,
shouldEmitToolResult,
pendingToolTasks,
resetSessionAfterCompactionFailure,
isHeartbeat,
sessionKey,
getActiveSessionEntry: () => activeSessionEntry,
activeSessionStore,
storePath,
resolvedVerboseLevel,
});
if (runOutcome.kind === "final") {
return finalizeWithFollowup(
runOutcome.payload,
queueKey,
runFollowupTurn,
);
}
let runResult: Awaited<ReturnType<typeof runEmbeddedPiAgent>>;
let fallbackProvider = followupRun.run.provider;
let fallbackModel = followupRun.run.model;
let didResetAfterCompactionFailure = false;
while (true) {
try {
const allowPartialStream = !(
followupRun.run.reasoningLevel === "stream" && opts?.onReasoningStream
);
const normalizeStreamingText = (
payload: ReplyPayload,
): { text?: string; skip: boolean } => {
if (!allowPartialStream) return { skip: true };
let text = payload.text;
if (!isHeartbeat && text?.includes("HEARTBEAT_OK")) {
const stripped = stripHeartbeatToken(text, {
mode: "message",
});
if (stripped.didStrip && !didLogHeartbeatStrip) {
didLogHeartbeatStrip = true;
logVerbose("Stripped stray HEARTBEAT_OK token from reply");
}
if (stripped.shouldSkip && (payload.mediaUrls?.length ?? 0) === 0) {
return { skip: true };
}
text = stripped.text;
}
if (isSilentReplyText(text, SILENT_REPLY_TOKEN)) {
return { skip: true };
}
return { text, skip: false };
};
const handlePartialForTyping = async (
payload: ReplyPayload,
): Promise<string | undefined> => {
const { text, skip } = normalizeStreamingText(payload);
if (skip || !text) return undefined;
await typingSignals.signalTextDelta(text);
return text;
};
const fallbackResult = await runWithModelFallback({
cfg: followupRun.run.config,
provider: followupRun.run.provider,
model: followupRun.run.model,
fallbacksOverride: resolveAgentModelFallbacksOverride(
followupRun.run.config,
resolveAgentIdFromSessionKey(followupRun.run.sessionKey),
),
run: (provider, model) => {
if (isCliProvider(provider, followupRun.run.config)) {
const startedAt = Date.now();
emitAgentEvent({
runId,
stream: "lifecycle",
data: {
phase: "start",
startedAt,
},
});
const cliSessionId = getCliSessionId(
activeSessionEntry,
provider,
);
return runCliAgent({
sessionId: followupRun.run.sessionId,
sessionKey,
sessionFile: followupRun.run.sessionFile,
workspaceDir: followupRun.run.workspaceDir,
config: followupRun.run.config,
prompt: commandBody,
provider,
model,
thinkLevel: followupRun.run.thinkLevel,
timeoutMs: followupRun.run.timeoutMs,
runId,
extraSystemPrompt: followupRun.run.extraSystemPrompt,
ownerNumbers: followupRun.run.ownerNumbers,
cliSessionId,
})
.then((result) => {
emitAgentEvent({
runId,
stream: "lifecycle",
data: {
phase: "end",
startedAt,
endedAt: Date.now(),
},
});
return result;
})
.catch((err) => {
emitAgentEvent({
runId,
stream: "lifecycle",
data: {
phase: "error",
startedAt,
endedAt: Date.now(),
error: err instanceof Error ? err.message : String(err),
},
});
throw err;
});
}
return runEmbeddedPiAgent({
sessionId: followupRun.run.sessionId,
sessionKey,
messageProvider:
sessionCtx.Provider?.trim().toLowerCase() || undefined,
agentAccountId: sessionCtx.AccountId,
// Provider threading context for tool auto-injection
...buildThreadingToolContext({
sessionCtx,
config: followupRun.run.config,
hasRepliedRef: opts?.hasRepliedRef,
}),
sessionFile: followupRun.run.sessionFile,
workspaceDir: followupRun.run.workspaceDir,
agentDir: followupRun.run.agentDir,
config: followupRun.run.config,
skillsSnapshot: followupRun.run.skillsSnapshot,
prompt: commandBody,
extraSystemPrompt: followupRun.run.extraSystemPrompt,
ownerNumbers: followupRun.run.ownerNumbers,
enforceFinalTag: resolveEnforceFinalTag(
followupRun.run,
provider,
),
provider,
model,
authProfileId: followupRun.run.authProfileId,
thinkLevel: followupRun.run.thinkLevel,
verboseLevel: followupRun.run.verboseLevel,
reasoningLevel: followupRun.run.reasoningLevel,
bashElevated: followupRun.run.bashElevated,
timeoutMs: followupRun.run.timeoutMs,
runId,
blockReplyBreak: resolvedBlockStreamingBreak,
blockReplyChunking,
onPartialReply: allowPartialStream
? async (payload) => {
const textForTyping = await handlePartialForTyping(payload);
if (!opts?.onPartialReply || textForTyping === undefined)
return;
await opts.onPartialReply({
text: textForTyping,
mediaUrls: payload.mediaUrls,
});
}
: undefined,
onAssistantMessageStart: async () => {
await typingSignals.signalMessageStart();
},
onReasoningStream:
typingSignals.shouldStartOnReasoning || opts?.onReasoningStream
? async (payload) => {
await typingSignals.signalReasoningDelta();
await opts?.onReasoningStream?.({
text: payload.text,
mediaUrls: payload.mediaUrls,
});
}
: undefined,
onAgentEvent: (evt) => {
// Trigger typing when tools start executing
if (evt.stream === "tool") {
const phase =
typeof evt.data.phase === "string" ? evt.data.phase : "";
if (phase === "start" || phase === "update") {
void typingSignals.signalToolStart();
}
}
// Track auto-compaction completion
if (evt.stream === "compaction") {
const phase =
typeof evt.data.phase === "string" ? evt.data.phase : "";
const willRetry = Boolean(evt.data.willRetry);
if (phase === "end" && !willRetry) {
autoCompactionCompleted = true;
}
}
},
onBlockReply:
blockStreamingEnabled && opts?.onBlockReply
? async (payload) => {
const { text, skip } = normalizeStreamingText(payload);
const hasPayloadMedia =
(payload.mediaUrls?.length ?? 0) > 0;
if (skip && !hasPayloadMedia) return;
const taggedPayload = applyReplyTagsToPayload(
{
text,
mediaUrls: payload.mediaUrls,
mediaUrl: payload.mediaUrls?.[0],
},
sessionCtx.MessageSid,
);
// Let through payloads with audioAsVoice flag even if empty (need to track it)
if (
!isRenderablePayload(taggedPayload) &&
!payload.audioAsVoice
)
return;
const parsed = parseReplyDirectives(
taggedPayload.text ?? "",
{
currentMessageId: sessionCtx.MessageSid,
silentToken: SILENT_REPLY_TOKEN,
},
);
const cleaned = parsed.text || undefined;
const hasRenderableMedia =
Boolean(taggedPayload.mediaUrl) ||
(taggedPayload.mediaUrls?.length ?? 0) > 0;
// Skip empty payloads unless they have audioAsVoice flag (need to track it)
if (
!cleaned &&
!hasRenderableMedia &&
!payload.audioAsVoice &&
!parsed.audioAsVoice
)
return;
if (parsed.isSilent && !hasRenderableMedia) return;
const blockPayload: ReplyPayload = applyReplyToMode({
...taggedPayload,
text: cleaned,
audioAsVoice: Boolean(
parsed.audioAsVoice || payload.audioAsVoice,
),
replyToId: taggedPayload.replyToId ?? parsed.replyToId,
replyToTag:
taggedPayload.replyToTag || parsed.replyToTag,
replyToCurrent:
taggedPayload.replyToCurrent || parsed.replyToCurrent,
});
void typingSignals
.signalTextDelta(cleaned ?? taggedPayload.text)
.catch((err) => {
logVerbose(
`block reply typing signal failed: ${String(err)}`,
);
});
blockReplyPipeline?.enqueue(blockPayload);
}
: undefined,
onBlockReplyFlush:
blockStreamingEnabled && blockReplyPipeline
? async () => {
await blockReplyPipeline.flush({ force: true });
}
: undefined,
shouldEmitToolResult,
onToolResult: opts?.onToolResult
? (payload) => {
// `subscribeEmbeddedPiSession` may invoke tool callbacks without awaiting them.
// If a tool callback starts typing after the run finalized, we can end up with
// a typing loop that never sees a matching markRunComplete(). Track and drain.
const task = (async () => {
const { text, skip } = normalizeStreamingText(payload);
if (skip) return;
await typingSignals.signalTextDelta(text);
await opts.onToolResult?.({
text,
mediaUrls: payload.mediaUrls,
});
})()
.catch((err) => {
logVerbose(
`tool result delivery failed: ${String(err)}`,
);
})
.finally(() => {
pendingToolTasks.delete(task);
});
pendingToolTasks.add(task);
}
: undefined,
});
},
});
runResult = fallbackResult.result;
fallbackProvider = fallbackResult.provider;
fallbackModel = fallbackResult.model;
// Some embedded runs surface context overflow as an error payload instead of throwing.
// Treat those as a session-level failure and auto-recover by starting a fresh session.
const embeddedError = runResult.meta?.error;
if (
embeddedError &&
isContextOverflowError(embeddedError.message) &&
!didResetAfterCompactionFailure &&
(await resetSessionAfterCompactionFailure(embeddedError.message))
) {
didResetAfterCompactionFailure = true;
continue;
}
break;
} catch (err) {
const message = err instanceof Error ? err.message : String(err);
const isContextOverflow =
isContextOverflowError(message) ||
/context.*overflow|too large|context window/i.test(message);
const isCompactionFailure = isCompactionFailureError(message);
const isSessionCorruption =
/function call turn comes immediately after/i.test(message);
if (
isCompactionFailure &&
!didResetAfterCompactionFailure &&
(await resetSessionAfterCompactionFailure(message))
) {
didResetAfterCompactionFailure = true;
continue;
}
// Auto-recover from Gemini session corruption by resetting the session
if (
isSessionCorruption &&
sessionKey &&
activeSessionStore &&
storePath
) {
const corruptedSessionId = activeSessionEntry?.sessionId;
defaultRuntime.error(
`Session history corrupted (Gemini function call ordering). Resetting session: ${sessionKey}`,
);
try {
// Delete transcript file if it exists
if (corruptedSessionId) {
const transcriptPath =
resolveSessionTranscriptPath(corruptedSessionId);
try {
fs.unlinkSync(transcriptPath);
} catch {
// Ignore if file doesn't exist
}
}
// Remove session entry from store
delete activeSessionStore[sessionKey];
await saveSessionStore(storePath, activeSessionStore);
} catch (cleanupErr) {
defaultRuntime.error(
`Failed to reset corrupted session ${sessionKey}: ${String(cleanupErr)}`,
);
}
return finalizeWithFollowup({
text: "⚠️ Session history was corrupted. I've reset the conversation - please try again!",
});
}
defaultRuntime.error(`Embedded agent failed before reply: ${message}`);
return finalizeWithFollowup({
text: isContextOverflow
? "⚠️ Context overflow — prompt too large for this model. Try a shorter message or a larger-context model."
: `⚠️ Agent failed before reply: ${message}. Check gateway logs for details.`,
});
}
}
const { runResult, fallbackProvider, fallbackModel } = runOutcome;
let { didLogHeartbeatStrip, autoCompactionCompleted } = runOutcome;
if (
shouldInjectGroupIntro &&
@@ -942,95 +327,31 @@ export async function runReplyAgent(params: {
// Drain any late tool/block deliveries before deciding there's "nothing to send".
// Otherwise, a late typing trigger (e.g. from a tool callback) can outlive the run and
// keep the typing indicator stuck.
if (payloadArray.length === 0) return finalizeWithFollowup(undefined);
if (payloadArray.length === 0)
return finalizeWithFollowup(undefined, queueKey, runFollowupTurn);
const sanitizedPayloads = isHeartbeat
? payloadArray
: payloadArray.flatMap((payload) => {
let text = payload.text;
if (payload.isError && text && isBunFetchSocketError(text)) {
text = formatBunFetchSocketError(text);
}
if (!text || !text.includes("HEARTBEAT_OK"))
return [{ ...payload, text }];
const stripped = stripHeartbeatToken(text, { mode: "message" });
if (stripped.didStrip && !didLogHeartbeatStrip) {
didLogHeartbeatStrip = true;
logVerbose("Stripped stray HEARTBEAT_OK token from reply");
}
const hasMedia =
Boolean(payload.mediaUrl) || (payload.mediaUrls?.length ?? 0) > 0;
if (stripped.shouldSkip && !hasMedia) return [];
return [{ ...payload, text: stripped.text }];
});
const replyTaggedPayloads: ReplyPayload[] = applyReplyThreading({
payloads: sanitizedPayloads,
const payloadResult = buildReplyPayloads({
payloads: payloadArray,
isHeartbeat,
didLogHeartbeatStrip,
blockStreamingEnabled,
blockReplyPipeline,
replyToMode,
replyToChannel,
currentMessageId: sessionCtx.MessageSid,
})
.map((payload) => {
const parsed = parseReplyDirectives(payload.text ?? "", {
currentMessageId: sessionCtx.MessageSid,
silentToken: SILENT_REPLY_TOKEN,
});
const mediaUrls = payload.mediaUrls ?? parsed.mediaUrls;
const mediaUrl = payload.mediaUrl ?? parsed.mediaUrl ?? mediaUrls?.[0];
return {
...payload,
text: parsed.text ? parsed.text : undefined,
mediaUrls,
mediaUrl,
replyToId: payload.replyToId ?? parsed.replyToId,
replyToTag: payload.replyToTag || parsed.replyToTag,
replyToCurrent: payload.replyToCurrent || parsed.replyToCurrent,
audioAsVoice: Boolean(payload.audioAsVoice || parsed.audioAsVoice),
};
})
.filter(isRenderablePayload);
// Drop final payloads only when block streaming succeeded end-to-end.
// If streaming aborted (e.g., timeout), fall back to final payloads.
const shouldDropFinalPayloads =
blockStreamingEnabled &&
Boolean(blockReplyPipeline?.didStream()) &&
!blockReplyPipeline?.isAborted();
const messagingToolSentTexts = runResult.messagingToolSentTexts ?? [];
const messagingToolSentTargets = runResult.messagingToolSentTargets ?? [];
const suppressMessagingToolReplies = shouldSuppressMessagingToolReplies({
messageProvider: followupRun.run.messageProvider,
messagingToolSentTargets,
messagingToolSentTexts: runResult.messagingToolSentTexts,
messagingToolSentTargets: runResult.messagingToolSentTargets,
originatingTo: sessionCtx.OriginatingTo ?? sessionCtx.To,
accountId: sessionCtx.AccountId,
});
const dedupedPayloads = filterMessagingToolDuplicates({
payloads: replyTaggedPayloads,
sentTexts: messagingToolSentTexts,
});
const filteredPayloads = shouldDropFinalPayloads
? []
: blockStreamingEnabled
? dedupedPayloads.filter(
(payload) => !blockReplyPipeline?.hasSentPayload(payload),
)
: dedupedPayloads;
const replyPayloads = suppressMessagingToolReplies ? [] : filteredPayloads;
const { replyPayloads } = payloadResult;
didLogHeartbeatStrip = payloadResult.didLogHeartbeatStrip;
if (replyPayloads.length === 0) return finalizeWithFollowup(undefined);
if (replyPayloads.length === 0)
return finalizeWithFollowup(undefined, queueKey, runFollowupTurn);
const shouldSignalTyping = replyPayloads.some((payload) => {
const trimmed = payload.text?.trim();
if (trimmed) return true;
if (payload.mediaUrl) return true;
if (payload.mediaUrls && payload.mediaUrls.length > 0) return true;
return false;
});
if (shouldSignalTyping) {
await typingSignals.signalRunStart();
}
await signalTypingIfNeeded(replyPayloads, typingSignals);
const usage = runResult.meta.agentMeta?.usage;
const modelUsed =
@@ -1166,6 +487,8 @@ export async function runReplyAgent(params: {
return finalizeWithFollowup(
finalPayloads.length === 1 ? finalPayloads[0] : finalPayloads,
queueKey,
runFollowupTurn,
);
} finally {
blockReplyPipeline?.stop();