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import type { ThinkLevel } from "../../auto-reply/thinking.js";
import type { RunEmbeddedPiAgentParams } from "./run/params.js";
import type { EmbeddedPiAgentMeta, EmbeddedPiRunResult } from "./types.js";
import { enqueueCommandInLane } from "../../process/command-queue.js";
import { resolveUserPath } from "../../utils.js";
import { isMarkdownCapableMessageChannel } from "../../utils/message-channel.js";
import { resolveOpenClawAgentDir } from "../agent-paths.js";
import {
isProfileInCooldown,
markAuthProfileFailure,
markAuthProfileGood,
markAuthProfileUsed,
} from "../auth-profiles.js";
import {
CONTEXT_WINDOW_HARD_MIN_TOKENS,
CONTEXT_WINDOW_WARN_BELOW_TOKENS,
evaluateContextWindowGuard,
resolveContextWindowInfo,
} from "../context-window-guard.js";
import { DEFAULT_CONTEXT_TOKENS, DEFAULT_MODEL, DEFAULT_PROVIDER } from "../defaults.js";
import { FailoverError, resolveFailoverStatus } from "../failover-error.js";
import {
ensureAuthProfileStore,
getApiKeyForModel,
resolveAuthProfileOrder,
type ResolvedProviderAuth,
} from "../model-auth.js";
import { normalizeProviderId } from "../model-selection.js";
import { ensureOpenClawModelsJson } from "../models-config.js";
import {
classifyFailoverReason,
formatAssistantErrorText,
isAuthAssistantError,
isCompactionFailureError,
isContextOverflowError,
isFailoverAssistantError,
isFailoverErrorMessage,
parseImageSizeError,
parseImageDimensionError,
isRateLimitAssistantError,
isTimeoutErrorMessage,
pickFallbackThinkingLevel,
type FailoverReason,
} from "../pi-embedded-helpers.js";
import { normalizeUsage, type UsageLike } from "../usage.js";
import { compactEmbeddedPiSessionDirect } from "./compact.js";
import { resolveGlobalLane, resolveSessionLane } from "./lanes.js";
import { log } from "./logger.js";
import { resolveModel } from "./model.js";
import { runEmbeddedAttempt } from "./run/attempt.js";
import { buildEmbeddedRunPayloads } from "./run/payloads.js";
import { describeUnknownError } from "./utils.js";
type ApiKeyInfo = ResolvedProviderAuth;
// Avoid Anthropic's refusal test token poisoning session transcripts.
const ANTHROPIC_MAGIC_STRING_TRIGGER_REFUSAL = "ANTHROPIC_MAGIC_STRING_TRIGGER_REFUSAL";
const ANTHROPIC_MAGIC_STRING_REPLACEMENT = "ANTHROPIC MAGIC STRING TRIGGER REFUSAL (redacted)";
function scrubAnthropicRefusalMagic(prompt: string): string {
if (!prompt.includes(ANTHROPIC_MAGIC_STRING_TRIGGER_REFUSAL)) {
return prompt;
}
return prompt.replaceAll(
ANTHROPIC_MAGIC_STRING_TRIGGER_REFUSAL,
ANTHROPIC_MAGIC_STRING_REPLACEMENT,
);
}
export async function runEmbeddedPiAgent(
params: RunEmbeddedPiAgentParams,
): Promise<EmbeddedPiRunResult> {
const sessionLane = resolveSessionLane(params.sessionKey?.trim() || params.sessionId);
const globalLane = resolveGlobalLane(params.lane);
const enqueueGlobal =
params.enqueue ?? ((task, opts) => enqueueCommandInLane(globalLane, task, opts));
const enqueueSession =
params.enqueue ?? ((task, opts) => enqueueCommandInLane(sessionLane, task, opts));
const channelHint = params.messageChannel ?? params.messageProvider;
const resolvedToolResultFormat =
params.toolResultFormat ??
(channelHint
? isMarkdownCapableMessageChannel(channelHint)
? "markdown"
: "plain"
: "markdown");
const isProbeSession = params.sessionId?.startsWith("probe-") ?? false;
return enqueueSession(() =>
enqueueGlobal(async () => {
const started = Date.now();
const resolvedWorkspace = resolveUserPath(params.workspaceDir);
const prevCwd = process.cwd();
const provider = (params.provider ?? DEFAULT_PROVIDER).trim() || DEFAULT_PROVIDER;
const modelId = (params.model ?? DEFAULT_MODEL).trim() || DEFAULT_MODEL;
const agentDir = params.agentDir ?? resolveOpenClawAgentDir();
const fallbackConfigured =
(params.config?.agents?.defaults?.model?.fallbacks?.length ?? 0) > 0;
await ensureOpenClawModelsJson(params.config, agentDir);
const { model, error, authStorage, modelRegistry } = resolveModel(
provider,
modelId,
agentDir,
params.config,
);
if (!model) {
throw new Error(error ?? `Unknown model: ${provider}/${modelId}`);
}
const ctxInfo = resolveContextWindowInfo({
cfg: params.config,
provider,
modelId,
modelContextWindow: model.contextWindow,
defaultTokens: DEFAULT_CONTEXT_TOKENS,
});
const ctxGuard = evaluateContextWindowGuard({
info: ctxInfo,
warnBelowTokens: CONTEXT_WINDOW_WARN_BELOW_TOKENS,
hardMinTokens: CONTEXT_WINDOW_HARD_MIN_TOKENS,
});
if (ctxGuard.shouldWarn) {
log.warn(
`low context window: ${provider}/${modelId} ctx=${ctxGuard.tokens} (warn<${CONTEXT_WINDOW_WARN_BELOW_TOKENS}) source=${ctxGuard.source}`,
);
}
if (ctxGuard.shouldBlock) {
log.error(
`blocked model (context window too small): ${provider}/${modelId} ctx=${ctxGuard.tokens} (min=${CONTEXT_WINDOW_HARD_MIN_TOKENS}) source=${ctxGuard.source}`,
);
throw new FailoverError(
`Model context window too small (${ctxGuard.tokens} tokens). Minimum is ${CONTEXT_WINDOW_HARD_MIN_TOKENS}.`,
{ reason: "unknown", provider, model: modelId },
);
}
const authStore = ensureAuthProfileStore(agentDir, { allowKeychainPrompt: false });
const preferredProfileId = params.authProfileId?.trim();
let lockedProfileId = params.authProfileIdSource === "user" ? preferredProfileId : undefined;
if (lockedProfileId) {
const lockedProfile = authStore.profiles[lockedProfileId];
if (
!lockedProfile ||
normalizeProviderId(lockedProfile.provider) !== normalizeProviderId(provider)
) {
lockedProfileId = undefined;
}
}
const profileOrder = resolveAuthProfileOrder({
cfg: params.config,
store: authStore,
provider,
preferredProfile: preferredProfileId,
});
if (lockedProfileId && !profileOrder.includes(lockedProfileId)) {
throw new Error(`Auth profile "${lockedProfileId}" is not configured for ${provider}.`);
}
const profileCandidates = lockedProfileId
? [lockedProfileId]
: profileOrder.length > 0
? profileOrder
: [undefined];
let profileIndex = 0;
const initialThinkLevel = params.thinkLevel ?? "off";
let thinkLevel = initialThinkLevel;
const attemptedThinking = new Set<ThinkLevel>();
let apiKeyInfo: ApiKeyInfo | null = null;
let lastProfileId: string | undefined;
const resolveAuthProfileFailoverReason = (params: {
allInCooldown: boolean;
message: string;
}): FailoverReason => {
if (params.allInCooldown) {
return "rate_limit";
}
const classified = classifyFailoverReason(params.message);
return classified ?? "auth";
};
const throwAuthProfileFailover = (params: {
allInCooldown: boolean;
message?: string;
error?: unknown;
}): never => {
const fallbackMessage = `No available auth profile for ${provider} (all in cooldown or unavailable).`;
const message =
params.message?.trim() ||
(params.error ? describeUnknownError(params.error).trim() : "") ||
fallbackMessage;
const reason = resolveAuthProfileFailoverReason({
allInCooldown: params.allInCooldown,
message,
});
if (fallbackConfigured) {
throw new FailoverError(message, {
reason,
provider,
model: modelId,
status: resolveFailoverStatus(reason),
cause: params.error,
});
}
if (params.error instanceof Error) {
throw params.error;
}
throw new Error(message);
};
const resolveApiKeyForCandidate = async (candidate?: string) => {
return getApiKeyForModel({
model,
cfg: params.config,
profileId: candidate,
store: authStore,
agentDir,
});
};
const applyApiKeyInfo = async (candidate?: string): Promise<void> => {
apiKeyInfo = await resolveApiKeyForCandidate(candidate);
const resolvedProfileId = apiKeyInfo.profileId ?? candidate;
if (!apiKeyInfo.apiKey) {
if (apiKeyInfo.mode !== "aws-sdk") {
throw new Error(
`No API key resolved for provider "${model.provider}" (auth mode: ${apiKeyInfo.mode}).`,
);
}
lastProfileId = resolvedProfileId;
return;
}
if (model.provider === "github-copilot") {
const { resolveCopilotApiToken } =
await import("../../providers/github-copilot-token.js");
const copilotToken = await resolveCopilotApiToken({
githubToken: apiKeyInfo.apiKey,
});
authStorage.setRuntimeApiKey(model.provider, copilotToken.token);
} else {
authStorage.setRuntimeApiKey(model.provider, apiKeyInfo.apiKey);
}
lastProfileId = apiKeyInfo.profileId;
};
const advanceAuthProfile = async (): Promise<boolean> => {
if (lockedProfileId) {
return false;
}
let nextIndex = profileIndex + 1;
while (nextIndex < profileCandidates.length) {
const candidate = profileCandidates[nextIndex];
if (candidate && isProfileInCooldown(authStore, candidate)) {
nextIndex += 1;
continue;
}
try {
await applyApiKeyInfo(candidate);
profileIndex = nextIndex;
thinkLevel = initialThinkLevel;
attemptedThinking.clear();
return true;
} catch (err) {
if (candidate && candidate === lockedProfileId) {
throw err;
}
nextIndex += 1;
}
}
return false;
};
try {
while (profileIndex < profileCandidates.length) {
const candidate = profileCandidates[profileIndex];
if (
candidate &&
candidate !== lockedProfileId &&
isProfileInCooldown(authStore, candidate)
) {
profileIndex += 1;
continue;
}
await applyApiKeyInfo(profileCandidates[profileIndex]);
break;
}
if (profileIndex >= profileCandidates.length) {
throwAuthProfileFailover({ allInCooldown: true });
}
} catch (err) {
if (err instanceof FailoverError) {
throw err;
}
if (profileCandidates[profileIndex] === lockedProfileId) {
throwAuthProfileFailover({ allInCooldown: false, error: err });
}
const advanced = await advanceAuthProfile();
if (!advanced) {
throwAuthProfileFailover({ allInCooldown: false, error: err });
}
}
let overflowCompactionAttempted = false;
try {
while (true) {
attemptedThinking.add(thinkLevel);
await fs.mkdir(resolvedWorkspace, { recursive: true });
const prompt =
provider === "anthropic" ? scrubAnthropicRefusalMagic(params.prompt) : params.prompt;
const attempt = await runEmbeddedAttempt({
sessionId: params.sessionId,
sessionKey: params.sessionKey,
messageChannel: params.messageChannel,
messageProvider: params.messageProvider,
agentAccountId: params.agentAccountId,
messageTo: params.messageTo,
messageThreadId: params.messageThreadId,
groupId: params.groupId,
groupChannel: params.groupChannel,
groupSpace: params.groupSpace,
spawnedBy: params.spawnedBy,
currentChannelId: params.currentChannelId,
currentThreadTs: params.currentThreadTs,
replyToMode: params.replyToMode,
hasRepliedRef: params.hasRepliedRef,
sessionFile: params.sessionFile,
workspaceDir: params.workspaceDir,
agentDir,
config: params.config,
skillsSnapshot: params.skillsSnapshot,
prompt,
images: params.images,
disableTools: params.disableTools,
provider,
modelId,
model,
authStorage,
modelRegistry,
thinkLevel,
verboseLevel: params.verboseLevel,
reasoningLevel: params.reasoningLevel,
toolResultFormat: resolvedToolResultFormat,
execOverrides: params.execOverrides,
bashElevated: params.bashElevated,
timeoutMs: params.timeoutMs,
runId: params.runId,
abortSignal: params.abortSignal,
shouldEmitToolResult: params.shouldEmitToolResult,
shouldEmitToolOutput: params.shouldEmitToolOutput,
onPartialReply: params.onPartialReply,
onAssistantMessageStart: params.onAssistantMessageStart,
onBlockReply: params.onBlockReply,
onBlockReplyFlush: params.onBlockReplyFlush,
blockReplyBreak: params.blockReplyBreak,
blockReplyChunking: params.blockReplyChunking,
onReasoningStream: params.onReasoningStream,
onToolResult: params.onToolResult,
onAgentEvent: params.onAgentEvent,
extraSystemPrompt: params.extraSystemPrompt,
streamParams: params.streamParams,
ownerNumbers: params.ownerNumbers,
enforceFinalTag: params.enforceFinalTag,
});
const { aborted, promptError, timedOut, sessionIdUsed, lastAssistant } = attempt;
if (promptError && !aborted) {
const errorText = describeUnknownError(promptError);
if (isContextOverflowError(errorText)) {
const isCompactionFailure = isCompactionFailureError(errorText);
// Attempt auto-compaction on context overflow (not compaction_failure)
if (!isCompactionFailure && !overflowCompactionAttempted) {
log.warn(
`context overflow detected; attempting auto-compaction for ${provider}/${modelId}`,
);
overflowCompactionAttempted = true;
const compactResult = await compactEmbeddedPiSessionDirect({
sessionId: params.sessionId,
sessionKey: params.sessionKey,
messageChannel: params.messageChannel,
messageProvider: params.messageProvider,
agentAccountId: params.agentAccountId,
authProfileId: lastProfileId,
sessionFile: params.sessionFile,
workspaceDir: params.workspaceDir,
agentDir,
config: params.config,
skillsSnapshot: params.skillsSnapshot,
provider,
model: modelId,
thinkLevel,
reasoningLevel: params.reasoningLevel,
bashElevated: params.bashElevated,
extraSystemPrompt: params.extraSystemPrompt,
ownerNumbers: params.ownerNumbers,
});
if (compactResult.compacted) {
log.info(`auto-compaction succeeded for ${provider}/${modelId}; retrying prompt`);
continue;
}
log.warn(
`auto-compaction failed for ${provider}/${modelId}: ${compactResult.reason ?? "nothing to compact"}`,
);
}
const kind = isCompactionFailure ? "compaction_failure" : "context_overflow";
return {
payloads: [
{
text:
"Context overflow: prompt too large for the model. " +
"Try again with less input or a larger-context model.",
isError: true,
},
],
meta: {
durationMs: Date.now() - started,
agentMeta: {
sessionId: sessionIdUsed,
provider,
model: model.id,
},
systemPromptReport: attempt.systemPromptReport,
error: { kind, message: errorText },
},
};
}
// Handle role ordering errors with a user-friendly message
if (/incorrect role information|roles must alternate/i.test(errorText)) {
return {
payloads: [
{
text:
"Message ordering conflict - please try again. " +
"If this persists, use /new to start a fresh session.",
isError: true,
},
],
meta: {
durationMs: Date.now() - started,
agentMeta: {
sessionId: sessionIdUsed,
provider,
model: model.id,
},
systemPromptReport: attempt.systemPromptReport,
error: { kind: "role_ordering", message: errorText },
},
};
}
// Handle image size errors with a user-friendly message (no retry needed)
const imageSizeError = parseImageSizeError(errorText);
if (imageSizeError) {
const maxMb = imageSizeError.maxMb;
const maxMbLabel =
typeof maxMb === "number" && Number.isFinite(maxMb) ? `${maxMb}` : null;
const maxBytesHint = maxMbLabel ? ` (max ${maxMbLabel}MB)` : "";
return {
payloads: [
{
text:
`Image too large for the model${maxBytesHint}. ` +
"Please compress or resize the image and try again.",
isError: true,
},
],
meta: {
durationMs: Date.now() - started,
agentMeta: {
sessionId: sessionIdUsed,
provider,
model: model.id,
},
systemPromptReport: attempt.systemPromptReport,
error: { kind: "image_size", message: errorText },
},
};
}
const promptFailoverReason = classifyFailoverReason(errorText);
if (promptFailoverReason && promptFailoverReason !== "timeout" && lastProfileId) {
await markAuthProfileFailure({
store: authStore,
profileId: lastProfileId,
reason: promptFailoverReason,
cfg: params.config,
agentDir: params.agentDir,
});
}
if (
isFailoverErrorMessage(errorText) &&
promptFailoverReason !== "timeout" &&
(await advanceAuthProfile())
) {
continue;
}
const fallbackThinking = pickFallbackThinkingLevel({
message: errorText,
attempted: attemptedThinking,
});
if (fallbackThinking) {
log.warn(
`unsupported thinking level for ${provider}/${modelId}; retrying with ${fallbackThinking}`,
);
thinkLevel = fallbackThinking;
continue;
}
// FIX: Throw FailoverError for prompt errors when fallbacks configured
// This enables model fallback for quota/rate limit errors during prompt submission
if (fallbackConfigured && isFailoverErrorMessage(errorText)) {
throw new FailoverError(errorText, {
reason: promptFailoverReason ?? "unknown",
provider,
model: modelId,
profileId: lastProfileId,
status: resolveFailoverStatus(promptFailoverReason ?? "unknown"),
});
}
throw promptError;
}
const fallbackThinking = pickFallbackThinkingLevel({
message: lastAssistant?.errorMessage,
attempted: attemptedThinking,
});
if (fallbackThinking && !aborted) {
log.warn(
`unsupported thinking level for ${provider}/${modelId}; retrying with ${fallbackThinking}`,
);
thinkLevel = fallbackThinking;
continue;
}
const authFailure = isAuthAssistantError(lastAssistant);
const rateLimitFailure = isRateLimitAssistantError(lastAssistant);
const failoverFailure = isFailoverAssistantError(lastAssistant);
const assistantFailoverReason = classifyFailoverReason(lastAssistant?.errorMessage ?? "");
const cloudCodeAssistFormatError = attempt.cloudCodeAssistFormatError;
const imageDimensionError = parseImageDimensionError(lastAssistant?.errorMessage ?? "");
if (imageDimensionError && lastProfileId) {
const details = [
imageDimensionError.messageIndex !== undefined
? `message=${imageDimensionError.messageIndex}`
: null,
imageDimensionError.contentIndex !== undefined
? `content=${imageDimensionError.contentIndex}`
: null,
imageDimensionError.maxDimensionPx !== undefined
? `limit=${imageDimensionError.maxDimensionPx}px`
: null,
]
.filter(Boolean)
.join(" ");
log.warn(
`Profile ${lastProfileId} rejected image payload${details ? ` (${details})` : ""}.`,
);
}
// Treat timeout as potential rate limit (Antigravity hangs on rate limit)
const shouldRotate = (!aborted && failoverFailure) || timedOut;
if (shouldRotate) {
if (lastProfileId) {
const reason =
timedOut || assistantFailoverReason === "timeout"
? "timeout"
: (assistantFailoverReason ?? "unknown");
await markAuthProfileFailure({
store: authStore,
profileId: lastProfileId,
reason,
cfg: params.config,
agentDir: params.agentDir,
});
if (timedOut && !isProbeSession) {
log.warn(
`Profile ${lastProfileId} timed out (possible rate limit). Trying next account...`,
);
}
if (cloudCodeAssistFormatError) {
log.warn(
`Profile ${lastProfileId} hit Cloud Code Assist format error. Tool calls will be sanitized on retry.`,
);
}
}
const rotated = await advanceAuthProfile();
if (rotated) {
continue;
}
if (fallbackConfigured) {
// Prefer formatted error message (user-friendly) over raw errorMessage
const message =
(lastAssistant
? formatAssistantErrorText(lastAssistant, {
cfg: params.config,
sessionKey: params.sessionKey ?? params.sessionId,
})
: undefined) ||
lastAssistant?.errorMessage?.trim() ||
(timedOut
? "LLM request timed out."
: rateLimitFailure
? "LLM request rate limited."
: authFailure
? "LLM request unauthorized."
: "LLM request failed.");
const status =
resolveFailoverStatus(assistantFailoverReason ?? "unknown") ??
(isTimeoutErrorMessage(message) ? 408 : undefined);
throw new FailoverError(message, {
reason: assistantFailoverReason ?? "unknown",
provider,
model: modelId,
profileId: lastProfileId,
status,
});
}
}
const usage = normalizeUsage(lastAssistant?.usage as UsageLike);
const agentMeta: EmbeddedPiAgentMeta = {
sessionId: sessionIdUsed,
provider: lastAssistant?.provider ?? provider,
model: lastAssistant?.model ?? model.id,
usage,
};
const payloads = buildEmbeddedRunPayloads({
assistantTexts: attempt.assistantTexts,
toolMetas: attempt.toolMetas,
lastAssistant: attempt.lastAssistant,
lastToolError: attempt.lastToolError,
config: params.config,
sessionKey: params.sessionKey ?? params.sessionId,
verboseLevel: params.verboseLevel,
reasoningLevel: params.reasoningLevel,
toolResultFormat: resolvedToolResultFormat,
inlineToolResultsAllowed: false,
});
log.debug(
`embedded run done: runId=${params.runId} sessionId=${params.sessionId} durationMs=${Date.now() - started} aborted=${aborted}`,
);
if (lastProfileId) {
await markAuthProfileGood({
store: authStore,
provider,
profileId: lastProfileId,
agentDir: params.agentDir,
});
await markAuthProfileUsed({
store: authStore,
profileId: lastProfileId,
agentDir: params.agentDir,
});
}
return {
payloads: payloads.length ? payloads : undefined,
meta: {
durationMs: Date.now() - started,
agentMeta,
aborted,
systemPromptReport: attempt.systemPromptReport,
// Handle client tool calls (OpenResponses hosted tools)
stopReason: attempt.clientToolCall ? "tool_calls" : undefined,
pendingToolCalls: attempt.clientToolCall
? [
{
id: `call_${Date.now()}`,
name: attempt.clientToolCall.name,
arguments: JSON.stringify(attempt.clientToolCall.params),
},
]
: undefined,
},
didSendViaMessagingTool: attempt.didSendViaMessagingTool,
messagingToolSentTexts: attempt.messagingToolSentTexts,
messagingToolSentTargets: attempt.messagingToolSentTargets,
};
}
} finally {
process.chdir(prevCwd);
}
}),
);
}
|