Files
shannon/apps/worker/src/ai/pi/pi-executor.ts
T
ezl-keygraphandGitHub 1ce250d6a5 feat: multi-provider model support, SARIF output, and exploit-mode fixes (#402)
* feat(worker): record token, cache, and turn usage per agent

* feat: replace model tiers with a single SHANNON_AI_MODEL across five providers

* feat(cli): rebuild the setup wizard for provider and model selection

* docs: document single-model selection and supported providers

* feat(worker): use chat completions for OpenAI behind a custom base URL

* feat: add SHANNON_AI_OPENAI_FORMAT to pick the wire API for OpenAI gateways

* refactor(cli): drop endpoint path hints from the gateway format picker

* feat(worker): enable pi in-session provider retry with retry-after backoff

* refactor(worker): hand provider error classification to pi and drop the Anthropic ladders

* refactor: remove the subscription retry preset and pipeline config section

* fix(worker): validate Bedrock credentials with the same live probe as other providers

* feat(worker): render the report from structured findings instead of agent-written markdown

* fix(worker): dispose the credential probe session on every path

* fix(worker): refuse to replace the assembled report with an empty one

* refactor(worker): catch post-processing throws across the whole finalization block

* revert(worker): drop the report zero-findings guard

* docs(worker): correct the retry split and Bedrock credential claims

* docs: regenerate llms-full.txt from current sources

* feat(cli): build and run the npx flow from a clone

* refactor(cli): flatten the setup summary output

* feat(cli): reject runs with more than one provider configured

* fix(worker): say a rejected bash call never ran

* chore(cli): drop grok-4.3 and gpt-5.6-luna from the setup suggestions

* feat(worker): capture structured finding locations for SARIF output

* fix(worker): enumerate queue confidence so the report inherits it verbatim

* feat(worker): give the reporting phase a mode-specific output schema

* feat(worker): emit a SARIF 2.1.0 log for exploitative runs

* fix(worker): correct SARIF locations and defer fingerprinting to the upload action

* fix(worker): drop the confidence suffix from the analysis-mode summary list

* feat(worker): give exploit findings a dedicated code location field

* feat(worker): carry structured code locations from the vuln queue to the report

* fix(worker): join code locations from the vuln queue instead of re-asking agents

* fix(worker): spell out the finding_id to category mapping in the tool schema

* feat: drop Google/Gemini as a supported AI provider

* fix(worker): stop asking the report agent for code locations

* docs: correct the provider list and drop the removed rate-limit settings

* docs: add provider cyber safeguards and suggested models per provider

* docs: document the SARIF output and the report rating thresholds
2026-07-30 19:31:52 +05:30

419 lines
15 KiB
TypeScript

// Copyright (C) 2025 Keygraph, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License version 3
// as published by the Free Software Foundation.
// Production agent execution on the pi harness, with git checkpoints and audit logging.
import os from 'node:os';
import type { AgentMessage } from '@earendil-works/pi-agent-core';
import {
type AgentSession,
type AgentSessionEvent,
createAgentSession,
DefaultResourceLoader,
getAgentDir,
type ResourceLoader,
SessionManager,
SettingsManager,
type Skill,
type ToolDefinition,
} from '@earendil-works/pi-coding-agent';
import { fs, path } from 'zx';
import type { AuditSession } from '../../audit/index.js';
import { BASH_TIMEOUT_EXTENSION_DIR, deliverablesDir } from '../../paths.js';
import { isRetryableFailure, PentestError } from '../../services/error-handling.js';
import { AGENT_VALIDATORS } from '../../session-manager.js';
import type { ActivityLogger } from '../../types/activity-logger.js';
import { isBrowserAgent } from '../../utils/browser-agents.js';
import { formatTimestamp } from '../../utils/formatting.js';
import { Timer } from '../../utils/metrics.js';
import { createAuditLogger } from '../audit-logger.js';
import { resolveModelSelection } from '../models.js';
import {
detectExecutionContext,
formatAssistantOutput,
formatCompletionMessage,
formatErrorOutput,
formatToolCall,
} from '../output-formatters.js';
import { createProgressManager } from '../progress-manager.js';
import type { CapturedSubmitTool } from '../submit-tool.js';
import { permissionSystemConfigExists, permissionSystemPackageDir } from './permission-system.js';
import { PI_RETRY_SETTINGS } from './retry-settings.js';
import { createGlobTool, createTodoWriteTool } from './session-tools.js';
import { createTaskTool } from './task-tool.js';
import { providerTurnError } from './turn-error.js';
declare global {
var SHANNON_DISABLE_LOADER: boolean | undefined;
}
/** Built-in pi tools enabled for every agent (custom tool names are appended). */
const BUILTIN_TOOLS = ['read', 'bash', 'edit', 'write', 'grep', 'find', 'ls'];
/** Build the playwright-cli Skill object injected for browser-using agents. */
function buildPlaywrightSkill(): Skill {
const filePath =
process.env.PLAYWRIGHT_CLI_SKILL_PATH ?? path.join(os.homedir(), '.claude/skills/playwright-cli/SKILL.md');
const baseDir = path.dirname(filePath);
return {
name: 'playwright-cli',
description:
'Drive a real browser via the playwright-cli binary. Use for any task that navigates, clicks, ' +
'fills forms, takes screenshots, or reads live pages.',
filePath,
baseDir,
sourceInfo: { path: filePath, source: 'custom', scope: 'user', origin: 'top-level', baseDir },
disableModelInvocation: false,
};
}
async function buildResourceLoader(
cwd: string,
logger: ActivityLogger,
agentName: string | null,
): Promise<ResourceLoader> {
// Always enforce bounded bash timeouts so an unbounded command cannot hang the agent.
const additionalExtensionPaths: string[] = [BASH_TIMEOUT_EXTENSION_DIR];
if (permissionSystemConfigExists(getAgentDir())) {
try {
additionalExtensionPaths.push(permissionSystemPackageDir());
} catch {
logger.warn(
'code_path deny config present but @gotgenes/pi-permission-system not resolvable — skipping enforcement',
);
}
}
// Only browser-driving agents get the playwright-cli skill; the rest run with no skills.
const loader = new DefaultResourceLoader({
cwd,
agentDir: getAgentDir(),
...(additionalExtensionPaths.length > 0 && { additionalExtensionPaths }),
...(isBrowserAgent(agentName)
? {
skillsOverride: (base) => ({
skills: [buildPlaywrightSkill()],
diagnostics: base.diagnostics,
}),
}
: { noSkills: true }),
});
await loader.reload();
return loader;
}
interface ChildUsage {
cost: number;
inputTokens: number;
outputTokens: number;
cacheReadTokens: number;
cacheWriteTokens: number;
}
/**
* Usage for one agent: the parent session plus every `task` sub-session it
* spawned. Sub-sessions keep their own stats, so their spend is accumulated
* separately and added here.
*/
function totalUsage(session: AgentSession | undefined, childUsage: ChildUsage) {
const stats = session?.getSessionStats();
return {
cost: (stats?.cost ?? 0) + childUsage.cost,
inputTokens: (stats?.tokens.input ?? 0) + childUsage.inputTokens,
outputTokens: (stats?.tokens.output ?? 0) + childUsage.outputTokens,
cacheReadTokens: (stats?.tokens.cacheRead ?? 0) + childUsage.cacheReadTokens,
cacheWriteTokens: (stats?.tokens.cacheWrite ?? 0) + childUsage.cacheWriteTokens,
};
}
export interface PiPromptResult {
result?: string | null | undefined;
success: boolean;
duration: number;
turns?: number | undefined;
cost: number;
inputTokens?: number | undefined;
outputTokens?: number | undefined;
cacheReadTokens?: number | undefined;
cacheWriteTokens?: number | undefined;
model?: string | undefined;
error?: string | undefined;
errorType?: string | undefined;
prompt?: string | undefined;
retryable?: boolean | undefined;
structuredOutput?: unknown;
}
function outputLines(lines: string[]): void {
for (const line of lines) {
console.log(line);
}
}
async function writeErrorLog(
err: Error & { code?: string; status?: number },
sourceDir: string,
fullPrompt: string,
duration: number,
): Promise<void> {
try {
const errorLog = {
timestamp: formatTimestamp(),
agent: 'pi-executor',
error: { name: err.constructor.name, message: err.message, code: err.code, status: err.status, stack: err.stack },
context: { sourceDir, prompt: `${fullPrompt.slice(0, 200)}...`, retryable: isRetryableFailure(err) },
duration,
};
const logPath = path.join(deliverablesDir(sourceDir), 'error.log');
await fs.appendFile(logPath, `${JSON.stringify(errorLog)}\n`);
} catch {
// Best-effort error log writing - don't propagate failures
}
}
export async function validateAgentOutput(
result: PiPromptResult,
agentName: string | null,
sourceDir: string,
logger: ActivityLogger,
): Promise<boolean> {
logger.info(`Validating ${agentName} agent output`);
try {
if (!result.success || (!result.result && result.structuredOutput === undefined)) {
logger.error('Validation failed: Agent execution was unsuccessful');
return false;
}
const validator = agentName ? AGENT_VALIDATORS[agentName as keyof typeof AGENT_VALIDATORS] : undefined;
if (!validator) {
logger.warn(`No validator found for agent "${agentName}" - assuming success`);
return true;
}
logger.info(`Using validator for agent: ${agentName}`, { sourceDir });
const validationResult = await validator(sourceDir, logger);
if (validationResult) {
logger.info('Validation passed: Required files/structure present');
} else {
logger.error('Validation failed: Missing required deliverable files');
}
return validationResult;
} catch (error) {
const errMsg = error instanceof Error ? error.message : String(error);
logger.error(`Validation failed with error: ${errMsg}`);
return false;
}
}
/** Concatenate the text blocks of an assistant message (skips thinking + tool calls). */
function extractAssistantText(message: AgentMessage): string {
if (message.role !== 'assistant') return '';
const blocks = message.content as Array<{ type: string; text?: string }>;
return blocks
.filter((c) => c.type === 'text')
.map((c) => c.text ?? '')
.join('\n');
}
// Low-level pi execution. Drives one agent session to completion with progress and
// audit logging. Exported for Temporal activities to call single-attempt execution.
export async function runPiPrompt(
prompt: string,
sourceDir: string,
context: string = '',
description: string = 'Agent analysis',
agentName: string | null = null,
auditSession: AuditSession | null = null,
logger: ActivityLogger,
callerTools?: ToolDefinition[],
deliverablesSubdir?: string,
cancellationSignal?: AbortSignal,
submitTool?: CapturedSubmitTool,
): Promise<PiPromptResult> {
// 1. Initialize timing and prompt. A submit tool appends its directive so the
// instruction to call it lives with the tool, not in every prompt file.
const timer = new Timer(`agent-${description.toLowerCase().replace(/\s+/g, '-')}`);
const basePrompt = context ? `${context}\n\n${prompt}` : prompt;
const fullPrompt = submitTool?.directive ? basePrompt + submitTool.directive : basePrompt;
// 2. Set up progress and audit infrastructure
const execContext = detectExecutionContext(description);
const progress = createProgressManager(
{ description, useCleanOutput: execContext.useCleanOutput },
global.SHANNON_DISABLE_LOADER ?? false,
);
const auditLogger = createAuditLogger(auditSession);
logger.info(`Running pi agent: ${description}...`);
// 3. Expose bash-invoked CLI tooling (playwright-cli, save-deliverable) to the
// environment pi's bash tool inherits. These are constant per container, so
// setting them on process.env is parallel-safe across this workflow's agents.
process.env.PLAYWRIGHT_MCP_OUTPUT_DIR = deliverablesSubdir
? path.join(sourceDir, path.dirname(deliverablesSubdir), '.playwright-cli')
: path.join(sourceDir, '.shannon', '.playwright-cli');
if (deliverablesSubdir) process.env.SHANNON_DELIVERABLES_SUBDIR = deliverablesSubdir;
// 4. Resolve model + auth, then assemble the tool set (universal task/todo tools
// plus any caller-supplied collector/submit tools).
const selection = await resolveModelSelection();
const resourceLoader = await buildResourceLoader(sourceDir, logger, agentName);
// Accumulates usage from in-process `task` child sessions so the parent's reported
// cost includes sub-agent spend (their getSessionStats is separate from ours).
const childUsage: ChildUsage = { cost: 0, inputTokens: 0, outputTokens: 0, cacheReadTokens: 0, cacheWriteTokens: 0 };
const customTools: ToolDefinition[] = [
createTaskTool({
model: selection.model,
modelRuntime: selection.modelRuntime,
cwd: sourceDir,
onUsage: (usage) => {
childUsage.cost += usage.cost;
childUsage.inputTokens += usage.inputTokens;
childUsage.outputTokens += usage.outputTokens;
childUsage.cacheReadTokens += usage.cacheReadTokens;
childUsage.cacheWriteTokens += usage.cacheWriteTokens;
},
resourceLoader,
...(cancellationSignal && { cancellationSignal }),
}),
createTodoWriteTool(auditLogger),
createGlobTool(sourceDir),
...(callerTools ?? []),
...(submitTool ? [submitTool.tool] : []),
];
// pi's `tools` allowlist gates custom tools too — list every custom name.
const tools = [...BUILTIN_TOOLS, ...customTools.map((t) => t.name)];
let turnCount = 0;
let pendingError: PentestError | null = null;
// Declared out here so the catch can bill spend accrued before a failure.
let session: AgentSession | undefined;
progress.start();
try {
({ session } = await createAgentSession({
cwd: sourceDir,
model: selection.model,
tools,
customTools,
modelRuntime: selection.modelRuntime,
sessionManager: SessionManager.inMemory(),
// Temporal owns agent restarts, pi absorbs transport faults (see
// PI_RETRY_SETTINGS); compaction stays on to guard against context overflow
// on long agent runs.
settingsManager: SettingsManager.inMemory({ retry: PI_RETRY_SETTINGS, compaction: { enabled: true } }),
resourceLoader,
}));
// 5. Map pi events to audit logging + progress + error capture.
session.subscribe((event: AgentSessionEvent) => {
switch (event.type) {
case 'turn_end': {
turnCount += 1;
const msg = event.message;
const text = extractAssistantText(msg);
if (text.trim()) {
void auditLogger.logLlmResponse(turnCount, text);
progress.stop();
outputLines(formatAssistantOutput(text, execContext, turnCount, description));
progress.start();
}
if (msg.role === 'assistant' && msg.stopReason === 'error') {
pendingError = pendingError ?? providerTurnError(msg, 'Agent error', selection.model.contextWindow);
}
break;
}
case 'tool_execution_start': {
void auditLogger.logToolStart(event.toolName, event.args);
const toolLines = formatToolCall(
event.toolName,
event.args as Record<string, unknown>,
execContext,
description,
);
if (toolLines.length > 0) {
progress.stop();
outputLines(toolLines);
progress.start();
}
break;
}
case 'tool_execution_end':
void auditLogger.logToolEnd(event.result);
break;
case 'compaction_end':
if (!event.aborted && !event.willRetry && event.errorMessage) {
pendingError =
pendingError ??
new PentestError(`Context compaction failed: ${event.errorMessage.slice(0, 200)}`, 'unknown', true);
}
break;
default:
break;
}
});
// 6. Run the agent to completion (resolves at agent_end).
await session.prompt(fullPrompt);
session.dispose();
// 7. Surface any error captured during the run.
if (pendingError) throw pendingError;
// 8. Read usage/cost and final text.
const usage = totalUsage(session, childUsage);
const result = session.getLastAssistantText() ?? null;
const duration = timer.stop();
progress.finish(formatCompletionMessage(execContext, description, turnCount, duration));
// Capture the submit tool's structured payload so callers read it off the
// result instead of holding a reference to the tool.
const structuredOutput = submitTool?.getCaptured();
return {
result,
success: true,
duration,
turns: turnCount,
cost: usage.cost,
inputTokens: usage.inputTokens,
outputTokens: usage.outputTokens,
cacheReadTokens: usage.cacheReadTokens,
cacheWriteTokens: usage.cacheWriteTokens,
model: selection.model.id,
...(structuredOutput !== undefined && { structuredOutput }),
};
} catch (error) {
// 10. Handle errors — log, write error file, return failure
const duration = timer.stop();
const err = error as Error & { code?: string; status?: number };
await auditLogger.logError(err, duration, turnCount);
progress.stop();
outputLines(formatErrorOutput(err, execContext, description, duration, sourceDir, isRetryableFailure(err)));
await writeErrorLog(err, sourceDir, fullPrompt, duration);
// A failed agent still spent money — on its own turns and, since Shannon's
// prompts delegate the heavy work, mostly on `task` sub-agents. Both count
// toward the run's usage.
const usage = totalUsage(session, childUsage);
return {
error: err.message,
errorType: err instanceof PentestError && err.code ? err.code : err.constructor.name,
prompt: `${fullPrompt.slice(0, 100)}...`,
success: false,
duration,
turns: turnCount,
cost: usage.cost,
inputTokens: usage.inputTokens,
outputTokens: usage.outputTokens,
cacheReadTokens: usage.cacheReadTokens,
cacheWriteTokens: usage.cacheWriteTokens,
retryable: isRetryableFailure(err),
};
}
}