mirror of
https://github.com/openclaw/openclaw.git
synced 2026-04-18 23:47:27 +00:00
838259331f
Wire media URL tracking through the embedded agent pipeline so that media already sent via messaging tools is not delivered again by the reply dispatcher. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1214 lines
46 KiB
TypeScript
1214 lines
46 KiB
TypeScript
import type { AgentMessage } from "@mariozechner/pi-agent-core";
|
|
import type { ImageContent } from "@mariozechner/pi-ai";
|
|
import { streamSimple } from "@mariozechner/pi-ai";
|
|
import { createAgentSession, SessionManager, SettingsManager } from "@mariozechner/pi-coding-agent";
|
|
import fs from "node:fs/promises";
|
|
import os from "node:os";
|
|
import type { EmbeddedRunAttemptParams, EmbeddedRunAttemptResult } from "./types.js";
|
|
import { resolveHeartbeatPrompt } from "../../../auto-reply/heartbeat.js";
|
|
import { resolveChannelCapabilities } from "../../../config/channel-capabilities.js";
|
|
import { getMachineDisplayName } from "../../../infra/machine-name.js";
|
|
import { MAX_IMAGE_BYTES } from "../../../media/constants.js";
|
|
import { getGlobalHookRunner } from "../../../plugins/hook-runner-global.js";
|
|
import {
|
|
isCronSessionKey,
|
|
isSubagentSessionKey,
|
|
normalizeAgentId,
|
|
} from "../../../routing/session-key.js";
|
|
import { resolveSignalReactionLevel } from "../../../signal/reaction-level.js";
|
|
import { resolveTelegramInlineButtonsScope } from "../../../telegram/inline-buttons.js";
|
|
import { resolveTelegramReactionLevel } from "../../../telegram/reaction-level.js";
|
|
import { buildTtsSystemPromptHint } from "../../../tts/tts.js";
|
|
import { resolveUserPath } from "../../../utils.js";
|
|
import { normalizeMessageChannel } from "../../../utils/message-channel.js";
|
|
import { isReasoningTagProvider } from "../../../utils/provider-utils.js";
|
|
import { resolveOpenClawAgentDir } from "../../agent-paths.js";
|
|
import { resolveSessionAgentIds } from "../../agent-scope.js";
|
|
import { createAnthropicPayloadLogger } from "../../anthropic-payload-log.js";
|
|
import { makeBootstrapWarn, resolveBootstrapContextForRun } from "../../bootstrap-files.js";
|
|
import { createCacheTrace } from "../../cache-trace.js";
|
|
import {
|
|
listChannelSupportedActions,
|
|
resolveChannelMessageToolHints,
|
|
} from "../../channel-tools.js";
|
|
import { resolveOpenClawDocsPath } from "../../docs-path.js";
|
|
import { isTimeoutError } from "../../failover-error.js";
|
|
import { resolveModelAuthMode } from "../../model-auth.js";
|
|
import { resolveDefaultModelForAgent } from "../../model-selection.js";
|
|
import { createOllamaStreamFn, OLLAMA_NATIVE_BASE_URL } from "../../ollama-stream.js";
|
|
import {
|
|
isCloudCodeAssistFormatError,
|
|
resolveBootstrapMaxChars,
|
|
resolveBootstrapTotalMaxChars,
|
|
validateAnthropicTurns,
|
|
validateGeminiTurns,
|
|
} from "../../pi-embedded-helpers.js";
|
|
import { subscribeEmbeddedPiSession } from "../../pi-embedded-subscribe.js";
|
|
import {
|
|
ensurePiCompactionReserveTokens,
|
|
resolveCompactionReserveTokensFloor,
|
|
} from "../../pi-settings.js";
|
|
import { toClientToolDefinitions } from "../../pi-tool-definition-adapter.js";
|
|
import { createOpenClawCodingTools } from "../../pi-tools.js";
|
|
import { resolveSandboxContext } from "../../sandbox.js";
|
|
import { resolveSandboxRuntimeStatus } from "../../sandbox/runtime-status.js";
|
|
import { repairSessionFileIfNeeded } from "../../session-file-repair.js";
|
|
import { guardSessionManager } from "../../session-tool-result-guard-wrapper.js";
|
|
import { sanitizeToolUseResultPairing } from "../../session-transcript-repair.js";
|
|
import { acquireSessionWriteLock } from "../../session-write-lock.js";
|
|
import { detectRuntimeShell } from "../../shell-utils.js";
|
|
import {
|
|
applySkillEnvOverrides,
|
|
applySkillEnvOverridesFromSnapshot,
|
|
loadWorkspaceSkillEntries,
|
|
resolveSkillsPromptForRun,
|
|
} from "../../skills.js";
|
|
import { buildSystemPromptParams } from "../../system-prompt-params.js";
|
|
import { buildSystemPromptReport } from "../../system-prompt-report.js";
|
|
import { resolveTranscriptPolicy } from "../../transcript-policy.js";
|
|
import { DEFAULT_BOOTSTRAP_FILENAME } from "../../workspace.js";
|
|
import { isRunnerAbortError } from "../abort.js";
|
|
import { appendCacheTtlTimestamp, isCacheTtlEligibleProvider } from "../cache-ttl.js";
|
|
import { buildEmbeddedExtensionPaths } from "../extensions.js";
|
|
import { applyExtraParamsToAgent } from "../extra-params.js";
|
|
import {
|
|
logToolSchemasForGoogle,
|
|
sanitizeAntigravityThinkingBlocks,
|
|
sanitizeSessionHistory,
|
|
sanitizeToolsForGoogle,
|
|
} from "../google.js";
|
|
import { getDmHistoryLimitFromSessionKey, limitHistoryTurns } from "../history.js";
|
|
import { log } from "../logger.js";
|
|
import { buildModelAliasLines } from "../model.js";
|
|
import {
|
|
clearActiveEmbeddedRun,
|
|
type EmbeddedPiQueueHandle,
|
|
setActiveEmbeddedRun,
|
|
} from "../runs.js";
|
|
import { buildEmbeddedSandboxInfo } from "../sandbox-info.js";
|
|
import { prewarmSessionFile, trackSessionManagerAccess } from "../session-manager-cache.js";
|
|
import { prepareSessionManagerForRun } from "../session-manager-init.js";
|
|
import {
|
|
applySystemPromptOverrideToSession,
|
|
buildEmbeddedSystemPrompt,
|
|
createSystemPromptOverride,
|
|
} from "../system-prompt.js";
|
|
import { splitSdkTools } from "../tool-split.js";
|
|
import { describeUnknownError, mapThinkingLevel } from "../utils.js";
|
|
import { flushPendingToolResultsAfterIdle } from "../wait-for-idle-before-flush.js";
|
|
import {
|
|
selectCompactionTimeoutSnapshot,
|
|
shouldFlagCompactionTimeout,
|
|
} from "./compaction-timeout.js";
|
|
import { detectAndLoadPromptImages } from "./images.js";
|
|
|
|
export function injectHistoryImagesIntoMessages(
|
|
messages: AgentMessage[],
|
|
historyImagesByIndex: Map<number, ImageContent[]>,
|
|
): boolean {
|
|
if (historyImagesByIndex.size === 0) {
|
|
return false;
|
|
}
|
|
let didMutate = false;
|
|
|
|
for (const [msgIndex, images] of historyImagesByIndex) {
|
|
// Bounds check: ensure index is valid before accessing
|
|
if (msgIndex < 0 || msgIndex >= messages.length) {
|
|
continue;
|
|
}
|
|
const msg = messages[msgIndex];
|
|
if (msg && msg.role === "user") {
|
|
// Convert string content to array format if needed
|
|
if (typeof msg.content === "string") {
|
|
msg.content = [{ type: "text", text: msg.content }];
|
|
didMutate = true;
|
|
}
|
|
if (Array.isArray(msg.content)) {
|
|
// Check for existing image content to avoid duplicates across turns
|
|
const existingImageData = new Set(
|
|
msg.content
|
|
.filter(
|
|
(c): c is ImageContent =>
|
|
c != null &&
|
|
typeof c === "object" &&
|
|
c.type === "image" &&
|
|
typeof c.data === "string",
|
|
)
|
|
.map((c) => c.data),
|
|
);
|
|
for (const img of images) {
|
|
// Only add if this image isn't already in the message
|
|
if (!existingImageData.has(img.data)) {
|
|
msg.content.push(img);
|
|
didMutate = true;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return didMutate;
|
|
}
|
|
|
|
function summarizeMessagePayload(msg: AgentMessage): { textChars: number; imageBlocks: number } {
|
|
const content = (msg as { content?: unknown }).content;
|
|
if (typeof content === "string") {
|
|
return { textChars: content.length, imageBlocks: 0 };
|
|
}
|
|
if (!Array.isArray(content)) {
|
|
return { textChars: 0, imageBlocks: 0 };
|
|
}
|
|
|
|
let textChars = 0;
|
|
let imageBlocks = 0;
|
|
for (const block of content) {
|
|
if (!block || typeof block !== "object") {
|
|
continue;
|
|
}
|
|
const typedBlock = block as { type?: unknown; text?: unknown };
|
|
if (typedBlock.type === "image") {
|
|
imageBlocks++;
|
|
continue;
|
|
}
|
|
if (typeof typedBlock.text === "string") {
|
|
textChars += typedBlock.text.length;
|
|
}
|
|
}
|
|
|
|
return { textChars, imageBlocks };
|
|
}
|
|
|
|
function summarizeSessionContext(messages: AgentMessage[]): {
|
|
roleCounts: string;
|
|
totalTextChars: number;
|
|
totalImageBlocks: number;
|
|
maxMessageTextChars: number;
|
|
} {
|
|
const roleCounts = new Map<string, number>();
|
|
let totalTextChars = 0;
|
|
let totalImageBlocks = 0;
|
|
let maxMessageTextChars = 0;
|
|
|
|
for (const msg of messages) {
|
|
const role = typeof msg.role === "string" ? msg.role : "unknown";
|
|
roleCounts.set(role, (roleCounts.get(role) ?? 0) + 1);
|
|
|
|
const payload = summarizeMessagePayload(msg);
|
|
totalTextChars += payload.textChars;
|
|
totalImageBlocks += payload.imageBlocks;
|
|
if (payload.textChars > maxMessageTextChars) {
|
|
maxMessageTextChars = payload.textChars;
|
|
}
|
|
}
|
|
|
|
return {
|
|
roleCounts:
|
|
[...roleCounts.entries()]
|
|
.toSorted((a, b) => a[0].localeCompare(b[0]))
|
|
.map(([role, count]) => `${role}:${count}`)
|
|
.join(",") || "none",
|
|
totalTextChars,
|
|
totalImageBlocks,
|
|
maxMessageTextChars,
|
|
};
|
|
}
|
|
|
|
export async function runEmbeddedAttempt(
|
|
params: EmbeddedRunAttemptParams,
|
|
): Promise<EmbeddedRunAttemptResult> {
|
|
const resolvedWorkspace = resolveUserPath(params.workspaceDir);
|
|
const prevCwd = process.cwd();
|
|
const runAbortController = new AbortController();
|
|
|
|
log.debug(
|
|
`embedded run start: runId=${params.runId} sessionId=${params.sessionId} provider=${params.provider} model=${params.modelId} thinking=${params.thinkLevel} messageChannel=${params.messageChannel ?? params.messageProvider ?? "unknown"}`,
|
|
);
|
|
|
|
await fs.mkdir(resolvedWorkspace, { recursive: true });
|
|
|
|
const sandboxSessionKey = params.sessionKey?.trim() || params.sessionId;
|
|
const sandbox = await resolveSandboxContext({
|
|
config: params.config,
|
|
sessionKey: sandboxSessionKey,
|
|
workspaceDir: resolvedWorkspace,
|
|
});
|
|
const effectiveWorkspace = sandbox?.enabled
|
|
? sandbox.workspaceAccess === "rw"
|
|
? resolvedWorkspace
|
|
: sandbox.workspaceDir
|
|
: resolvedWorkspace;
|
|
await fs.mkdir(effectiveWorkspace, { recursive: true });
|
|
|
|
let restoreSkillEnv: (() => void) | undefined;
|
|
process.chdir(effectiveWorkspace);
|
|
try {
|
|
const shouldLoadSkillEntries = !params.skillsSnapshot || !params.skillsSnapshot.resolvedSkills;
|
|
const skillEntries = shouldLoadSkillEntries
|
|
? loadWorkspaceSkillEntries(effectiveWorkspace)
|
|
: [];
|
|
restoreSkillEnv = params.skillsSnapshot
|
|
? applySkillEnvOverridesFromSnapshot({
|
|
snapshot: params.skillsSnapshot,
|
|
config: params.config,
|
|
})
|
|
: applySkillEnvOverrides({
|
|
skills: skillEntries ?? [],
|
|
config: params.config,
|
|
});
|
|
|
|
const skillsPrompt = resolveSkillsPromptForRun({
|
|
skillsSnapshot: params.skillsSnapshot,
|
|
entries: shouldLoadSkillEntries ? skillEntries : undefined,
|
|
config: params.config,
|
|
workspaceDir: effectiveWorkspace,
|
|
});
|
|
|
|
const sessionLabel = params.sessionKey ?? params.sessionId;
|
|
const { bootstrapFiles: hookAdjustedBootstrapFiles, contextFiles } =
|
|
await resolveBootstrapContextForRun({
|
|
workspaceDir: effectiveWorkspace,
|
|
config: params.config,
|
|
sessionKey: params.sessionKey,
|
|
sessionId: params.sessionId,
|
|
warn: makeBootstrapWarn({ sessionLabel, warn: (message) => log.warn(message) }),
|
|
});
|
|
const workspaceNotes = hookAdjustedBootstrapFiles.some(
|
|
(file) => file.name === DEFAULT_BOOTSTRAP_FILENAME && !file.missing,
|
|
)
|
|
? ["Reminder: commit your changes in this workspace after edits."]
|
|
: undefined;
|
|
|
|
const agentDir = params.agentDir ?? resolveOpenClawAgentDir();
|
|
|
|
// Check if the model supports native image input
|
|
const modelHasVision = params.model.input?.includes("image") ?? false;
|
|
const toolsRaw = params.disableTools
|
|
? []
|
|
: createOpenClawCodingTools({
|
|
exec: {
|
|
...params.execOverrides,
|
|
elevated: params.bashElevated,
|
|
},
|
|
sandbox,
|
|
messageProvider: params.messageChannel ?? params.messageProvider,
|
|
agentAccountId: params.agentAccountId,
|
|
messageTo: params.messageTo,
|
|
messageThreadId: params.messageThreadId,
|
|
groupId: params.groupId,
|
|
groupChannel: params.groupChannel,
|
|
groupSpace: params.groupSpace,
|
|
spawnedBy: params.spawnedBy,
|
|
senderId: params.senderId,
|
|
senderName: params.senderName,
|
|
senderUsername: params.senderUsername,
|
|
senderE164: params.senderE164,
|
|
senderIsOwner: params.senderIsOwner,
|
|
sessionKey: params.sessionKey ?? params.sessionId,
|
|
agentDir,
|
|
workspaceDir: effectiveWorkspace,
|
|
config: params.config,
|
|
abortSignal: runAbortController.signal,
|
|
modelProvider: params.model.provider,
|
|
modelId: params.modelId,
|
|
modelAuthMode: resolveModelAuthMode(params.model.provider, params.config),
|
|
currentChannelId: params.currentChannelId,
|
|
currentThreadTs: params.currentThreadTs,
|
|
replyToMode: params.replyToMode,
|
|
hasRepliedRef: params.hasRepliedRef,
|
|
modelHasVision,
|
|
requireExplicitMessageTarget:
|
|
params.requireExplicitMessageTarget ?? isSubagentSessionKey(params.sessionKey),
|
|
disableMessageTool: params.disableMessageTool,
|
|
});
|
|
const tools = sanitizeToolsForGoogle({ tools: toolsRaw, provider: params.provider });
|
|
logToolSchemasForGoogle({ tools, provider: params.provider });
|
|
|
|
const machineName = await getMachineDisplayName();
|
|
const runtimeChannel = normalizeMessageChannel(params.messageChannel ?? params.messageProvider);
|
|
let runtimeCapabilities = runtimeChannel
|
|
? (resolveChannelCapabilities({
|
|
cfg: params.config,
|
|
channel: runtimeChannel,
|
|
accountId: params.agentAccountId,
|
|
}) ?? [])
|
|
: undefined;
|
|
if (runtimeChannel === "telegram" && params.config) {
|
|
const inlineButtonsScope = resolveTelegramInlineButtonsScope({
|
|
cfg: params.config,
|
|
accountId: params.agentAccountId ?? undefined,
|
|
});
|
|
if (inlineButtonsScope !== "off") {
|
|
if (!runtimeCapabilities) {
|
|
runtimeCapabilities = [];
|
|
}
|
|
if (
|
|
!runtimeCapabilities.some((cap) => String(cap).trim().toLowerCase() === "inlinebuttons")
|
|
) {
|
|
runtimeCapabilities.push("inlineButtons");
|
|
}
|
|
}
|
|
}
|
|
const reactionGuidance =
|
|
runtimeChannel && params.config
|
|
? (() => {
|
|
if (runtimeChannel === "telegram") {
|
|
const resolved = resolveTelegramReactionLevel({
|
|
cfg: params.config,
|
|
accountId: params.agentAccountId ?? undefined,
|
|
});
|
|
const level = resolved.agentReactionGuidance;
|
|
return level ? { level, channel: "Telegram" } : undefined;
|
|
}
|
|
if (runtimeChannel === "signal") {
|
|
const resolved = resolveSignalReactionLevel({
|
|
cfg: params.config,
|
|
accountId: params.agentAccountId ?? undefined,
|
|
});
|
|
const level = resolved.agentReactionGuidance;
|
|
return level ? { level, channel: "Signal" } : undefined;
|
|
}
|
|
return undefined;
|
|
})()
|
|
: undefined;
|
|
const { defaultAgentId, sessionAgentId } = resolveSessionAgentIds({
|
|
sessionKey: params.sessionKey,
|
|
config: params.config,
|
|
});
|
|
const sandboxInfo = buildEmbeddedSandboxInfo(sandbox, params.bashElevated);
|
|
const reasoningTagHint = isReasoningTagProvider(params.provider);
|
|
// Resolve channel-specific message actions for system prompt
|
|
const channelActions = runtimeChannel
|
|
? listChannelSupportedActions({
|
|
cfg: params.config,
|
|
channel: runtimeChannel,
|
|
})
|
|
: undefined;
|
|
const messageToolHints = runtimeChannel
|
|
? resolveChannelMessageToolHints({
|
|
cfg: params.config,
|
|
channel: runtimeChannel,
|
|
accountId: params.agentAccountId,
|
|
})
|
|
: undefined;
|
|
|
|
const defaultModelRef = resolveDefaultModelForAgent({
|
|
cfg: params.config ?? {},
|
|
agentId: sessionAgentId,
|
|
});
|
|
const defaultModelLabel = `${defaultModelRef.provider}/${defaultModelRef.model}`;
|
|
const { runtimeInfo, userTimezone, userTime, userTimeFormat } = buildSystemPromptParams({
|
|
config: params.config,
|
|
agentId: sessionAgentId,
|
|
workspaceDir: effectiveWorkspace,
|
|
cwd: process.cwd(),
|
|
runtime: {
|
|
host: machineName,
|
|
os: `${os.type()} ${os.release()}`,
|
|
arch: os.arch(),
|
|
node: process.version,
|
|
model: `${params.provider}/${params.modelId}`,
|
|
defaultModel: defaultModelLabel,
|
|
shell: detectRuntimeShell(),
|
|
channel: runtimeChannel,
|
|
capabilities: runtimeCapabilities,
|
|
channelActions,
|
|
},
|
|
});
|
|
const isDefaultAgent = sessionAgentId === defaultAgentId;
|
|
const promptMode =
|
|
isSubagentSessionKey(params.sessionKey) || isCronSessionKey(params.sessionKey)
|
|
? "minimal"
|
|
: "full";
|
|
const docsPath = await resolveOpenClawDocsPath({
|
|
workspaceDir: effectiveWorkspace,
|
|
argv1: process.argv[1],
|
|
cwd: process.cwd(),
|
|
moduleUrl: import.meta.url,
|
|
});
|
|
const ttsHint = params.config ? buildTtsSystemPromptHint(params.config) : undefined;
|
|
|
|
const appendPrompt = buildEmbeddedSystemPrompt({
|
|
workspaceDir: effectiveWorkspace,
|
|
defaultThinkLevel: params.thinkLevel,
|
|
reasoningLevel: params.reasoningLevel ?? "off",
|
|
extraSystemPrompt: params.extraSystemPrompt,
|
|
ownerNumbers: params.ownerNumbers,
|
|
reasoningTagHint,
|
|
heartbeatPrompt: isDefaultAgent
|
|
? resolveHeartbeatPrompt(params.config?.agents?.defaults?.heartbeat?.prompt)
|
|
: undefined,
|
|
skillsPrompt,
|
|
docsPath: docsPath ?? undefined,
|
|
ttsHint,
|
|
workspaceNotes,
|
|
reactionGuidance,
|
|
promptMode,
|
|
runtimeInfo,
|
|
messageToolHints,
|
|
sandboxInfo,
|
|
tools,
|
|
modelAliasLines: buildModelAliasLines(params.config),
|
|
userTimezone,
|
|
userTime,
|
|
userTimeFormat,
|
|
contextFiles,
|
|
memoryCitationsMode: params.config?.memory?.citations,
|
|
});
|
|
const systemPromptReport = buildSystemPromptReport({
|
|
source: "run",
|
|
generatedAt: Date.now(),
|
|
sessionId: params.sessionId,
|
|
sessionKey: params.sessionKey,
|
|
provider: params.provider,
|
|
model: params.modelId,
|
|
workspaceDir: effectiveWorkspace,
|
|
bootstrapMaxChars: resolveBootstrapMaxChars(params.config),
|
|
bootstrapTotalMaxChars: resolveBootstrapTotalMaxChars(params.config),
|
|
sandbox: (() => {
|
|
const runtime = resolveSandboxRuntimeStatus({
|
|
cfg: params.config,
|
|
sessionKey: params.sessionKey ?? params.sessionId,
|
|
});
|
|
return { mode: runtime.mode, sandboxed: runtime.sandboxed };
|
|
})(),
|
|
systemPrompt: appendPrompt,
|
|
bootstrapFiles: hookAdjustedBootstrapFiles,
|
|
injectedFiles: contextFiles,
|
|
skillsPrompt,
|
|
tools,
|
|
});
|
|
const systemPromptOverride = createSystemPromptOverride(appendPrompt);
|
|
const systemPromptText = systemPromptOverride();
|
|
|
|
const sessionLock = await acquireSessionWriteLock({
|
|
sessionFile: params.sessionFile,
|
|
});
|
|
|
|
let sessionManager: ReturnType<typeof guardSessionManager> | undefined;
|
|
let session: Awaited<ReturnType<typeof createAgentSession>>["session"] | undefined;
|
|
try {
|
|
await repairSessionFileIfNeeded({
|
|
sessionFile: params.sessionFile,
|
|
warn: (message) => log.warn(message),
|
|
});
|
|
const hadSessionFile = await fs
|
|
.stat(params.sessionFile)
|
|
.then(() => true)
|
|
.catch(() => false);
|
|
|
|
const transcriptPolicy = resolveTranscriptPolicy({
|
|
modelApi: params.model?.api,
|
|
provider: params.provider,
|
|
modelId: params.modelId,
|
|
});
|
|
|
|
await prewarmSessionFile(params.sessionFile);
|
|
sessionManager = guardSessionManager(SessionManager.open(params.sessionFile), {
|
|
agentId: sessionAgentId,
|
|
sessionKey: params.sessionKey,
|
|
inputProvenance: params.inputProvenance,
|
|
allowSyntheticToolResults: transcriptPolicy.allowSyntheticToolResults,
|
|
});
|
|
trackSessionManagerAccess(params.sessionFile);
|
|
|
|
await prepareSessionManagerForRun({
|
|
sessionManager,
|
|
sessionFile: params.sessionFile,
|
|
hadSessionFile,
|
|
sessionId: params.sessionId,
|
|
cwd: effectiveWorkspace,
|
|
});
|
|
|
|
const settingsManager = SettingsManager.create(effectiveWorkspace, agentDir);
|
|
ensurePiCompactionReserveTokens({
|
|
settingsManager,
|
|
minReserveTokens: resolveCompactionReserveTokensFloor(params.config),
|
|
});
|
|
|
|
// Call for side effects (sets compaction/pruning runtime state)
|
|
buildEmbeddedExtensionPaths({
|
|
cfg: params.config,
|
|
sessionManager,
|
|
provider: params.provider,
|
|
modelId: params.modelId,
|
|
model: params.model,
|
|
});
|
|
|
|
// Get hook runner early so it's available when creating tools
|
|
const hookRunner = getGlobalHookRunner();
|
|
|
|
const { builtInTools, customTools } = splitSdkTools({
|
|
tools,
|
|
sandboxEnabled: !!sandbox?.enabled,
|
|
});
|
|
|
|
// Add client tools (OpenResponses hosted tools) to customTools
|
|
let clientToolCallDetected: { name: string; params: Record<string, unknown> } | null = null;
|
|
const clientToolDefs = params.clientTools
|
|
? toClientToolDefinitions(
|
|
params.clientTools,
|
|
(toolName, toolParams) => {
|
|
clientToolCallDetected = { name: toolName, params: toolParams };
|
|
},
|
|
{
|
|
agentId: sessionAgentId,
|
|
sessionKey: params.sessionKey,
|
|
},
|
|
)
|
|
: [];
|
|
|
|
const allCustomTools = [...customTools, ...clientToolDefs];
|
|
|
|
({ session } = await createAgentSession({
|
|
cwd: resolvedWorkspace,
|
|
agentDir,
|
|
authStorage: params.authStorage,
|
|
modelRegistry: params.modelRegistry,
|
|
model: params.model,
|
|
thinkingLevel: mapThinkingLevel(params.thinkLevel),
|
|
tools: builtInTools,
|
|
customTools: allCustomTools,
|
|
sessionManager,
|
|
settingsManager,
|
|
}));
|
|
applySystemPromptOverrideToSession(session, systemPromptText);
|
|
if (!session) {
|
|
throw new Error("Embedded agent session missing");
|
|
}
|
|
const activeSession = session;
|
|
const cacheTrace = createCacheTrace({
|
|
cfg: params.config,
|
|
env: process.env,
|
|
runId: params.runId,
|
|
sessionId: activeSession.sessionId,
|
|
sessionKey: params.sessionKey,
|
|
provider: params.provider,
|
|
modelId: params.modelId,
|
|
modelApi: params.model.api,
|
|
workspaceDir: params.workspaceDir,
|
|
});
|
|
const anthropicPayloadLogger = createAnthropicPayloadLogger({
|
|
env: process.env,
|
|
runId: params.runId,
|
|
sessionId: activeSession.sessionId,
|
|
sessionKey: params.sessionKey,
|
|
provider: params.provider,
|
|
modelId: params.modelId,
|
|
modelApi: params.model.api,
|
|
workspaceDir: params.workspaceDir,
|
|
});
|
|
|
|
// Ollama native API: bypass SDK's streamSimple and use direct /api/chat calls
|
|
// for reliable streaming + tool calling support (#11828).
|
|
if (params.model.api === "ollama") {
|
|
// Use the resolved model baseUrl first so custom provider aliases work.
|
|
const providerConfig = params.config?.models?.providers?.[params.model.provider];
|
|
const modelBaseUrl =
|
|
typeof params.model.baseUrl === "string" ? params.model.baseUrl.trim() : "";
|
|
const providerBaseUrl =
|
|
typeof providerConfig?.baseUrl === "string" ? providerConfig.baseUrl.trim() : "";
|
|
const ollamaBaseUrl = modelBaseUrl || providerBaseUrl || OLLAMA_NATIVE_BASE_URL;
|
|
activeSession.agent.streamFn = createOllamaStreamFn(ollamaBaseUrl);
|
|
} else {
|
|
// Force a stable streamFn reference so vitest can reliably mock @mariozechner/pi-ai.
|
|
activeSession.agent.streamFn = streamSimple;
|
|
}
|
|
|
|
applyExtraParamsToAgent(
|
|
activeSession.agent,
|
|
params.config,
|
|
params.provider,
|
|
params.modelId,
|
|
params.streamParams,
|
|
);
|
|
|
|
if (cacheTrace) {
|
|
cacheTrace.recordStage("session:loaded", {
|
|
messages: activeSession.messages,
|
|
system: systemPromptText,
|
|
note: "after session create",
|
|
});
|
|
activeSession.agent.streamFn = cacheTrace.wrapStreamFn(activeSession.agent.streamFn);
|
|
}
|
|
if (anthropicPayloadLogger) {
|
|
activeSession.agent.streamFn = anthropicPayloadLogger.wrapStreamFn(
|
|
activeSession.agent.streamFn,
|
|
);
|
|
}
|
|
|
|
try {
|
|
const prior = await sanitizeSessionHistory({
|
|
messages: activeSession.messages,
|
|
modelApi: params.model.api,
|
|
modelId: params.modelId,
|
|
provider: params.provider,
|
|
sessionManager,
|
|
sessionId: params.sessionId,
|
|
policy: transcriptPolicy,
|
|
});
|
|
cacheTrace?.recordStage("session:sanitized", { messages: prior });
|
|
const validatedGemini = transcriptPolicy.validateGeminiTurns
|
|
? validateGeminiTurns(prior)
|
|
: prior;
|
|
const validated = transcriptPolicy.validateAnthropicTurns
|
|
? validateAnthropicTurns(validatedGemini)
|
|
: validatedGemini;
|
|
const truncated = limitHistoryTurns(
|
|
validated,
|
|
getDmHistoryLimitFromSessionKey(params.sessionKey, params.config),
|
|
);
|
|
// Re-run tool_use/tool_result pairing repair after truncation, since
|
|
// limitHistoryTurns can orphan tool_result blocks by removing the
|
|
// assistant message that contained the matching tool_use.
|
|
const limited = transcriptPolicy.repairToolUseResultPairing
|
|
? sanitizeToolUseResultPairing(truncated)
|
|
: truncated;
|
|
cacheTrace?.recordStage("session:limited", { messages: limited });
|
|
if (limited.length > 0) {
|
|
activeSession.agent.replaceMessages(limited);
|
|
}
|
|
} catch (err) {
|
|
await flushPendingToolResultsAfterIdle({
|
|
agent: activeSession?.agent,
|
|
sessionManager,
|
|
});
|
|
activeSession.dispose();
|
|
throw err;
|
|
}
|
|
|
|
let aborted = Boolean(params.abortSignal?.aborted);
|
|
let timedOut = false;
|
|
let timedOutDuringCompaction = false;
|
|
const getAbortReason = (signal: AbortSignal): unknown =>
|
|
"reason" in signal ? (signal as { reason?: unknown }).reason : undefined;
|
|
const makeTimeoutAbortReason = (): Error => {
|
|
const err = new Error("request timed out");
|
|
err.name = "TimeoutError";
|
|
return err;
|
|
};
|
|
const makeAbortError = (signal: AbortSignal): Error => {
|
|
const reason = getAbortReason(signal);
|
|
const err = reason ? new Error("aborted", { cause: reason }) : new Error("aborted");
|
|
err.name = "AbortError";
|
|
return err;
|
|
};
|
|
const abortRun = (isTimeout = false, reason?: unknown) => {
|
|
aborted = true;
|
|
if (isTimeout) {
|
|
timedOut = true;
|
|
}
|
|
if (isTimeout) {
|
|
runAbortController.abort(reason ?? makeTimeoutAbortReason());
|
|
} else {
|
|
runAbortController.abort(reason);
|
|
}
|
|
void activeSession.abort();
|
|
};
|
|
const abortable = <T>(promise: Promise<T>): Promise<T> => {
|
|
const signal = runAbortController.signal;
|
|
if (signal.aborted) {
|
|
return Promise.reject(makeAbortError(signal));
|
|
}
|
|
return new Promise<T>((resolve, reject) => {
|
|
const onAbort = () => {
|
|
signal.removeEventListener("abort", onAbort);
|
|
reject(makeAbortError(signal));
|
|
};
|
|
signal.addEventListener("abort", onAbort, { once: true });
|
|
promise.then(
|
|
(value) => {
|
|
signal.removeEventListener("abort", onAbort);
|
|
resolve(value);
|
|
},
|
|
(err) => {
|
|
signal.removeEventListener("abort", onAbort);
|
|
reject(err);
|
|
},
|
|
);
|
|
});
|
|
};
|
|
|
|
const subscription = subscribeEmbeddedPiSession({
|
|
session: activeSession,
|
|
runId: params.runId,
|
|
hookRunner: getGlobalHookRunner() ?? undefined,
|
|
verboseLevel: params.verboseLevel,
|
|
reasoningMode: params.reasoningLevel ?? "off",
|
|
toolResultFormat: params.toolResultFormat,
|
|
shouldEmitToolResult: params.shouldEmitToolResult,
|
|
shouldEmitToolOutput: params.shouldEmitToolOutput,
|
|
onToolResult: params.onToolResult,
|
|
onReasoningStream: params.onReasoningStream,
|
|
onReasoningEnd: params.onReasoningEnd,
|
|
onBlockReply: params.onBlockReply,
|
|
onBlockReplyFlush: params.onBlockReplyFlush,
|
|
blockReplyBreak: params.blockReplyBreak,
|
|
blockReplyChunking: params.blockReplyChunking,
|
|
onPartialReply: params.onPartialReply,
|
|
onAssistantMessageStart: params.onAssistantMessageStart,
|
|
onAgentEvent: params.onAgentEvent,
|
|
enforceFinalTag: params.enforceFinalTag,
|
|
config: params.config,
|
|
sessionKey: params.sessionKey ?? params.sessionId,
|
|
});
|
|
|
|
const {
|
|
assistantTexts,
|
|
toolMetas,
|
|
unsubscribe,
|
|
waitForCompactionRetry,
|
|
getMessagingToolSentTexts,
|
|
getMessagingToolSentMediaUrls,
|
|
getMessagingToolSentTargets,
|
|
getSuccessfulCronAdds,
|
|
didSendViaMessagingTool,
|
|
getLastToolError,
|
|
getUsageTotals,
|
|
getCompactionCount,
|
|
} = subscription;
|
|
|
|
const queueHandle: EmbeddedPiQueueHandle = {
|
|
queueMessage: async (text: string) => {
|
|
await activeSession.steer(text);
|
|
},
|
|
isStreaming: () => activeSession.isStreaming,
|
|
isCompacting: () => subscription.isCompacting(),
|
|
abort: abortRun,
|
|
};
|
|
setActiveEmbeddedRun(params.sessionId, queueHandle, params.sessionKey);
|
|
|
|
let abortWarnTimer: NodeJS.Timeout | undefined;
|
|
const isProbeSession = params.sessionId?.startsWith("probe-") ?? false;
|
|
const abortTimer = setTimeout(
|
|
() => {
|
|
if (!isProbeSession) {
|
|
log.warn(
|
|
`embedded run timeout: runId=${params.runId} sessionId=${params.sessionId} timeoutMs=${params.timeoutMs}`,
|
|
);
|
|
}
|
|
if (
|
|
shouldFlagCompactionTimeout({
|
|
isTimeout: true,
|
|
isCompactionPendingOrRetrying: subscription.isCompacting(),
|
|
isCompactionInFlight: activeSession.isCompacting,
|
|
})
|
|
) {
|
|
timedOutDuringCompaction = true;
|
|
}
|
|
abortRun(true);
|
|
if (!abortWarnTimer) {
|
|
abortWarnTimer = setTimeout(() => {
|
|
if (!activeSession.isStreaming) {
|
|
return;
|
|
}
|
|
if (!isProbeSession) {
|
|
log.warn(
|
|
`embedded run abort still streaming: runId=${params.runId} sessionId=${params.sessionId}`,
|
|
);
|
|
}
|
|
}, 10_000);
|
|
}
|
|
},
|
|
Math.max(1, params.timeoutMs),
|
|
);
|
|
|
|
let messagesSnapshot: AgentMessage[] = [];
|
|
let sessionIdUsed = activeSession.sessionId;
|
|
const onAbort = () => {
|
|
const reason = params.abortSignal ? getAbortReason(params.abortSignal) : undefined;
|
|
const timeout = reason ? isTimeoutError(reason) : false;
|
|
if (
|
|
shouldFlagCompactionTimeout({
|
|
isTimeout: timeout,
|
|
isCompactionPendingOrRetrying: subscription.isCompacting(),
|
|
isCompactionInFlight: activeSession.isCompacting,
|
|
})
|
|
) {
|
|
timedOutDuringCompaction = true;
|
|
}
|
|
abortRun(timeout, reason);
|
|
};
|
|
if (params.abortSignal) {
|
|
if (params.abortSignal.aborted) {
|
|
onAbort();
|
|
} else {
|
|
params.abortSignal.addEventListener("abort", onAbort, {
|
|
once: true,
|
|
});
|
|
}
|
|
}
|
|
|
|
// Hook runner was already obtained earlier before tool creation
|
|
const hookAgentId =
|
|
typeof params.agentId === "string" && params.agentId.trim()
|
|
? normalizeAgentId(params.agentId)
|
|
: resolveSessionAgentIds({
|
|
sessionKey: params.sessionKey,
|
|
config: params.config,
|
|
}).sessionAgentId;
|
|
|
|
let promptError: unknown = null;
|
|
try {
|
|
const promptStartedAt = Date.now();
|
|
|
|
// Run before_agent_start hooks to allow plugins to inject context.
|
|
// If run.ts already fired the hook (for model override), reuse its result.
|
|
let effectivePrompt = params.prompt;
|
|
const hookResult =
|
|
params.earlyHookResult ??
|
|
(hookRunner?.hasHooks("before_agent_start")
|
|
? await hookRunner
|
|
.runBeforeAgentStart(
|
|
{
|
|
prompt: params.prompt,
|
|
messages: activeSession.messages,
|
|
},
|
|
{
|
|
agentId: hookAgentId,
|
|
sessionKey: params.sessionKey,
|
|
sessionId: params.sessionId,
|
|
workspaceDir: params.workspaceDir,
|
|
messageProvider: params.messageProvider ?? undefined,
|
|
},
|
|
)
|
|
.catch((hookErr: unknown) => {
|
|
log.warn(`before_agent_start hook failed: ${String(hookErr)}`);
|
|
return undefined;
|
|
})
|
|
: undefined);
|
|
{
|
|
if (hookResult?.prependContext) {
|
|
effectivePrompt = `${hookResult.prependContext}\n\n${params.prompt}`;
|
|
log.debug(
|
|
`hooks: prepended context to prompt (${hookResult.prependContext.length} chars)`,
|
|
);
|
|
}
|
|
}
|
|
|
|
log.debug(`embedded run prompt start: runId=${params.runId} sessionId=${params.sessionId}`);
|
|
cacheTrace?.recordStage("prompt:before", {
|
|
prompt: effectivePrompt,
|
|
messages: activeSession.messages,
|
|
});
|
|
|
|
// Repair orphaned trailing user messages so new prompts don't violate role ordering.
|
|
const leafEntry = sessionManager.getLeafEntry();
|
|
if (leafEntry?.type === "message" && leafEntry.message.role === "user") {
|
|
if (leafEntry.parentId) {
|
|
sessionManager.branch(leafEntry.parentId);
|
|
} else {
|
|
sessionManager.resetLeaf();
|
|
}
|
|
const sessionContext = sessionManager.buildSessionContext();
|
|
const sanitizedOrphan = transcriptPolicy.normalizeAntigravityThinkingBlocks
|
|
? sanitizeAntigravityThinkingBlocks(sessionContext.messages)
|
|
: sessionContext.messages;
|
|
activeSession.agent.replaceMessages(sanitizedOrphan);
|
|
log.warn(
|
|
`Removed orphaned user message to prevent consecutive user turns. ` +
|
|
`runId=${params.runId} sessionId=${params.sessionId}`,
|
|
);
|
|
}
|
|
|
|
try {
|
|
// Detect and load images referenced in the prompt for vision-capable models.
|
|
// This eliminates the need for an explicit "view" tool call by injecting
|
|
// images directly into the prompt when the model supports it.
|
|
// Also scans conversation history to enable follow-up questions about earlier images.
|
|
const imageResult = await detectAndLoadPromptImages({
|
|
prompt: effectivePrompt,
|
|
workspaceDir: effectiveWorkspace,
|
|
model: params.model,
|
|
existingImages: params.images,
|
|
historyMessages: activeSession.messages,
|
|
maxBytes: MAX_IMAGE_BYTES,
|
|
// Enforce sandbox path restrictions when sandbox is enabled
|
|
sandbox:
|
|
sandbox?.enabled && sandbox?.fsBridge
|
|
? { root: sandbox.workspaceDir, bridge: sandbox.fsBridge }
|
|
: undefined,
|
|
});
|
|
|
|
// Inject history images into their original message positions.
|
|
// This ensures the model sees images in context (e.g., "compare to the first image").
|
|
const didMutate = injectHistoryImagesIntoMessages(
|
|
activeSession.messages,
|
|
imageResult.historyImagesByIndex,
|
|
);
|
|
if (didMutate) {
|
|
// Persist message mutations (e.g., injected history images) so we don't re-scan/reload.
|
|
activeSession.agent.replaceMessages(activeSession.messages);
|
|
}
|
|
|
|
cacheTrace?.recordStage("prompt:images", {
|
|
prompt: effectivePrompt,
|
|
messages: activeSession.messages,
|
|
note: `images: prompt=${imageResult.images.length} history=${imageResult.historyImagesByIndex.size}`,
|
|
});
|
|
|
|
// Diagnostic: log context sizes before prompt to help debug early overflow errors.
|
|
if (log.isEnabled("debug")) {
|
|
const msgCount = activeSession.messages.length;
|
|
const systemLen = systemPromptText?.length ?? 0;
|
|
const promptLen = effectivePrompt.length;
|
|
const sessionSummary = summarizeSessionContext(activeSession.messages);
|
|
log.debug(
|
|
`[context-diag] pre-prompt: sessionKey=${params.sessionKey ?? params.sessionId} ` +
|
|
`messages=${msgCount} roleCounts=${sessionSummary.roleCounts} ` +
|
|
`historyTextChars=${sessionSummary.totalTextChars} ` +
|
|
`maxMessageTextChars=${sessionSummary.maxMessageTextChars} ` +
|
|
`historyImageBlocks=${sessionSummary.totalImageBlocks} ` +
|
|
`systemPromptChars=${systemLen} promptChars=${promptLen} ` +
|
|
`promptImages=${imageResult.images.length} ` +
|
|
`historyImageMessages=${imageResult.historyImagesByIndex.size} ` +
|
|
`provider=${params.provider}/${params.modelId} sessionFile=${params.sessionFile}`,
|
|
);
|
|
}
|
|
|
|
if (hookRunner?.hasHooks("llm_input")) {
|
|
hookRunner
|
|
.runLlmInput(
|
|
{
|
|
runId: params.runId,
|
|
sessionId: params.sessionId,
|
|
provider: params.provider,
|
|
model: params.modelId,
|
|
systemPrompt: systemPromptText,
|
|
prompt: effectivePrompt,
|
|
historyMessages: activeSession.messages,
|
|
imagesCount: imageResult.images.length,
|
|
},
|
|
{
|
|
agentId: hookAgentId,
|
|
sessionKey: params.sessionKey,
|
|
sessionId: params.sessionId,
|
|
workspaceDir: params.workspaceDir,
|
|
messageProvider: params.messageProvider ?? undefined,
|
|
},
|
|
)
|
|
.catch((err) => {
|
|
log.warn(`llm_input hook failed: ${String(err)}`);
|
|
});
|
|
}
|
|
|
|
// Only pass images option if there are actually images to pass
|
|
// This avoids potential issues with models that don't expect the images parameter
|
|
if (imageResult.images.length > 0) {
|
|
await abortable(activeSession.prompt(effectivePrompt, { images: imageResult.images }));
|
|
} else {
|
|
await abortable(activeSession.prompt(effectivePrompt));
|
|
}
|
|
} catch (err) {
|
|
promptError = err;
|
|
} finally {
|
|
log.debug(
|
|
`embedded run prompt end: runId=${params.runId} sessionId=${params.sessionId} durationMs=${Date.now() - promptStartedAt}`,
|
|
);
|
|
}
|
|
|
|
// Capture snapshot before compaction wait so we have complete messages if timeout occurs
|
|
// Check compaction state before and after to avoid race condition where compaction starts during capture
|
|
// Use session state (not subscription) for snapshot decisions - need instantaneous compaction status
|
|
const wasCompactingBefore = activeSession.isCompacting;
|
|
const snapshot = activeSession.messages.slice();
|
|
const wasCompactingAfter = activeSession.isCompacting;
|
|
// Only trust snapshot if compaction wasn't running before or after capture
|
|
const preCompactionSnapshot = wasCompactingBefore || wasCompactingAfter ? null : snapshot;
|
|
const preCompactionSessionId = activeSession.sessionId;
|
|
|
|
try {
|
|
await abortable(waitForCompactionRetry());
|
|
} catch (err) {
|
|
if (isRunnerAbortError(err)) {
|
|
if (!promptError) {
|
|
promptError = err;
|
|
}
|
|
if (!isProbeSession) {
|
|
log.debug(
|
|
`compaction wait aborted: runId=${params.runId} sessionId=${params.sessionId}`,
|
|
);
|
|
}
|
|
} else {
|
|
throw err;
|
|
}
|
|
}
|
|
|
|
// Append cache-TTL timestamp AFTER prompt + compaction retry completes.
|
|
// Previously this was before the prompt, which caused a custom entry to be
|
|
// inserted between compaction and the next prompt — breaking the
|
|
// prepareCompaction() guard that checks the last entry type, leading to
|
|
// double-compaction. See: https://github.com/openclaw/openclaw/issues/9282
|
|
// Skip when timed out during compaction — session state may be inconsistent.
|
|
if (!timedOutDuringCompaction) {
|
|
const shouldTrackCacheTtl =
|
|
params.config?.agents?.defaults?.contextPruning?.mode === "cache-ttl" &&
|
|
isCacheTtlEligibleProvider(params.provider, params.modelId);
|
|
if (shouldTrackCacheTtl) {
|
|
appendCacheTtlTimestamp(sessionManager, {
|
|
timestamp: Date.now(),
|
|
provider: params.provider,
|
|
modelId: params.modelId,
|
|
});
|
|
}
|
|
}
|
|
|
|
// If timeout occurred during compaction, use pre-compaction snapshot when available
|
|
// (compaction restructures messages but does not add user/assistant turns).
|
|
const snapshotSelection = selectCompactionTimeoutSnapshot({
|
|
timedOutDuringCompaction,
|
|
preCompactionSnapshot,
|
|
preCompactionSessionId,
|
|
currentSnapshot: activeSession.messages.slice(),
|
|
currentSessionId: activeSession.sessionId,
|
|
});
|
|
if (timedOutDuringCompaction) {
|
|
if (!isProbeSession) {
|
|
log.warn(
|
|
`using ${snapshotSelection.source} snapshot: timed out during compaction runId=${params.runId} sessionId=${params.sessionId}`,
|
|
);
|
|
}
|
|
}
|
|
messagesSnapshot = snapshotSelection.messagesSnapshot;
|
|
sessionIdUsed = snapshotSelection.sessionIdUsed;
|
|
cacheTrace?.recordStage("session:after", {
|
|
messages: messagesSnapshot,
|
|
note: timedOutDuringCompaction
|
|
? "compaction timeout"
|
|
: promptError
|
|
? "prompt error"
|
|
: undefined,
|
|
});
|
|
anthropicPayloadLogger?.recordUsage(messagesSnapshot, promptError);
|
|
|
|
// Run agent_end hooks to allow plugins to analyze the conversation
|
|
// This is fire-and-forget, so we don't await
|
|
// Run even on compaction timeout so plugins can log/cleanup
|
|
if (hookRunner?.hasHooks("agent_end")) {
|
|
hookRunner
|
|
.runAgentEnd(
|
|
{
|
|
messages: messagesSnapshot,
|
|
success: !aborted && !promptError,
|
|
error: promptError ? describeUnknownError(promptError) : undefined,
|
|
durationMs: Date.now() - promptStartedAt,
|
|
},
|
|
{
|
|
agentId: hookAgentId,
|
|
sessionKey: params.sessionKey,
|
|
sessionId: params.sessionId,
|
|
workspaceDir: params.workspaceDir,
|
|
messageProvider: params.messageProvider ?? undefined,
|
|
},
|
|
)
|
|
.catch((err) => {
|
|
log.warn(`agent_end hook failed: ${err}`);
|
|
});
|
|
}
|
|
} finally {
|
|
clearTimeout(abortTimer);
|
|
if (abortWarnTimer) {
|
|
clearTimeout(abortWarnTimer);
|
|
}
|
|
if (!isProbeSession && (aborted || timedOut) && !timedOutDuringCompaction) {
|
|
log.debug(
|
|
`run cleanup: runId=${params.runId} sessionId=${params.sessionId} aborted=${aborted} timedOut=${timedOut}`,
|
|
);
|
|
}
|
|
try {
|
|
unsubscribe();
|
|
} catch (err) {
|
|
// unsubscribe() should never throw; if it does, it indicates a serious bug.
|
|
// Log at error level to ensure visibility, but don't rethrow in finally block
|
|
// as it would mask any exception from the try block above.
|
|
log.error(
|
|
`CRITICAL: unsubscribe failed, possible resource leak: runId=${params.runId} ${String(err)}`,
|
|
);
|
|
}
|
|
clearActiveEmbeddedRun(params.sessionId, queueHandle, params.sessionKey);
|
|
params.abortSignal?.removeEventListener?.("abort", onAbort);
|
|
}
|
|
|
|
const lastAssistant = messagesSnapshot
|
|
.slice()
|
|
.toReversed()
|
|
.find((m) => m.role === "assistant");
|
|
|
|
const toolMetasNormalized = toolMetas
|
|
.filter(
|
|
(entry): entry is { toolName: string; meta?: string } =>
|
|
typeof entry.toolName === "string" && entry.toolName.trim().length > 0,
|
|
)
|
|
.map((entry) => ({ toolName: entry.toolName, meta: entry.meta }));
|
|
|
|
if (hookRunner?.hasHooks("llm_output")) {
|
|
hookRunner
|
|
.runLlmOutput(
|
|
{
|
|
runId: params.runId,
|
|
sessionId: params.sessionId,
|
|
provider: params.provider,
|
|
model: params.modelId,
|
|
assistantTexts,
|
|
lastAssistant,
|
|
usage: getUsageTotals(),
|
|
},
|
|
{
|
|
agentId: hookAgentId,
|
|
sessionKey: params.sessionKey,
|
|
sessionId: params.sessionId,
|
|
workspaceDir: params.workspaceDir,
|
|
messageProvider: params.messageProvider ?? undefined,
|
|
},
|
|
)
|
|
.catch((err) => {
|
|
log.warn(`llm_output hook failed: ${String(err)}`);
|
|
});
|
|
}
|
|
|
|
return {
|
|
aborted,
|
|
timedOut,
|
|
timedOutDuringCompaction,
|
|
promptError,
|
|
sessionIdUsed,
|
|
systemPromptReport,
|
|
messagesSnapshot,
|
|
assistantTexts,
|
|
toolMetas: toolMetasNormalized,
|
|
lastAssistant,
|
|
lastToolError: getLastToolError?.(),
|
|
didSendViaMessagingTool: didSendViaMessagingTool(),
|
|
messagingToolSentTexts: getMessagingToolSentTexts(),
|
|
messagingToolSentMediaUrls: getMessagingToolSentMediaUrls(),
|
|
messagingToolSentTargets: getMessagingToolSentTargets(),
|
|
successfulCronAdds: getSuccessfulCronAdds(),
|
|
cloudCodeAssistFormatError: Boolean(
|
|
lastAssistant?.errorMessage && isCloudCodeAssistFormatError(lastAssistant.errorMessage),
|
|
),
|
|
attemptUsage: getUsageTotals(),
|
|
compactionCount: getCompactionCount(),
|
|
// Client tool call detected (OpenResponses hosted tools)
|
|
clientToolCall: clientToolCallDetected ?? undefined,
|
|
};
|
|
} finally {
|
|
// Always tear down the session (and release the lock) before we leave this attempt.
|
|
//
|
|
// BUGFIX: Wait for the agent to be truly idle before flushing pending tool results.
|
|
// pi-agent-core's auto-retry resolves waitForRetry() on assistant message receipt,
|
|
// *before* tool execution completes in the retried agent loop. Without this wait,
|
|
// flushPendingToolResults() fires while tools are still executing, inserting
|
|
// synthetic "missing tool result" errors and causing silent agent failures.
|
|
// See: https://github.com/openclaw/openclaw/issues/8643
|
|
await flushPendingToolResultsAfterIdle({
|
|
agent: session?.agent,
|
|
sessionManager,
|
|
});
|
|
session?.dispose();
|
|
await sessionLock.release();
|
|
}
|
|
} finally {
|
|
restoreSkillEnv?.();
|
|
process.chdir(prevCwd);
|
|
}
|
|
}
|