import { Agent, type AgentEvent, type AgentMessage, type AgentTool, INTENT_FIELD, type ThinkingLevel, } from "@oh-my-pi/pi-agent-core"; import type { Message, Model } from "@oh-my-pi/pi-ai"; import { getOpenAICodexTransportDetails, prewarmOpenAICodexResponses, } from "@oh-my-pi/pi-ai/providers/openai-codex-responses"; import type { Component } from "@oh-my-pi/pi-tui"; import { $env, $flag, getAgentDbPath, getAgentDir, getProjectDir, logger, postmortem, prompt, Snowflake, } from "@oh-my-pi/pi-utils"; import chalk from "chalk"; import { AsyncJobManager, isBackgroundJobSupportEnabled } from "./async"; import { createAutoresearchExtension } from "./autoresearch"; import { loadCapability } from "./capability"; import { type Rule, ruleCapability } from "./capability/rule"; import { ModelRegistry } from "./config/model-registry"; import { formatModelString, parseModelPattern, parseModelString, resolveModelRoleValue } from "./config/model-resolver"; import { loadPromptTemplates as loadPromptTemplatesInternal, type PromptTemplate } from "./config/prompt-templates"; import { Settings, type SkillsSettings } from "./config/settings"; import { CursorExecHandlers } from "./cursor"; import "./discovery"; import { resolveConfigValue } from "./config/resolve-config-value"; import { initializeWithSettings } from "./discovery"; import { TtsrManager } from "./export/ttsr"; import { type CustomCommandsLoadResult, type LoadedCustomCommand, loadCustomCommands as loadCustomCommandsInternal, } from "./extensibility/custom-commands"; import { discoverAndLoadCustomTools } from "./extensibility/custom-tools"; import type { CustomTool, CustomToolContext, CustomToolSessionEvent } from "./extensibility/custom-tools/types"; import { CustomToolAdapter } from "./extensibility/custom-tools/wrapper"; import { discoverAndLoadExtensions, type ExtensionContext, type ExtensionFactory, ExtensionRunner, ExtensionToolWrapper, type ExtensionUIContext, type LoadExtensionsResult, loadExtensionFromFactory, loadExtensions, type ToolDefinition, wrapRegisteredTools, } from "./extensibility/extensions"; import { loadSkills as loadSkillsInternal, type Skill, type SkillWarning } from "./extensibility/skills"; import { type FileSlashCommand, loadSlashCommands as loadSlashCommandsInternal } from "./extensibility/slash-commands"; import { AgentProtocolHandler, ArtifactProtocolHandler, InternalUrlRouter, JobsProtocolHandler, LocalProtocolHandler, McpProtocolHandler, MemoryProtocolHandler, PiProtocolHandler, RuleProtocolHandler, SkillProtocolHandler, } from "./internal-urls"; import { disposeAllKernelSessions, disposeKernelSessionsByOwner } from "./ipy/executor"; import { LSP_STARTUP_EVENT_CHANNEL, type LspStartupEvent } from "./lsp/startup-events"; import { discoverAndLoadMCPTools, type MCPManager, type MCPToolsLoadResult } from "./mcp"; import { collectDiscoverableMCPTools, formatDiscoverableMCPToolServerSummary, selectDiscoverableMCPToolNamesByServer, summarizeDiscoverableMCPTools, } from "./mcp/discoverable-tool-metadata"; import { buildMemoryToolDeveloperInstructions, getMemoryRoot, startMemoryStartupTask } from "./memories"; import asyncResultTemplate from "./prompts/tools/async-result.md" with { type: "text" }; import { collectEnvSecrets, deobfuscateSessionContext, loadSecrets, obfuscateMessages, SecretObfuscator, } from "./secrets"; import { AgentSession } from "./session/agent-session"; import { AuthStorage } from "./session/auth-storage"; import { convertToLlm } from "./session/messages"; import { SessionManager } from "./session/session-manager"; import { closeAllConnections } from "./ssh/connection-manager"; import { unmountAll } from "./ssh/sshfs-mount"; import { buildSystemPrompt as buildSystemPromptInternal, buildSystemPromptToolMetadata, loadProjectContextFiles as loadContextFilesInternal, } from "./system-prompt"; import { AgentOutputManager } from "./task/output-manager"; import { parseThinkingLevel, resolveThinkingLevelForModel, toReasoningEffort } from "./thinking"; import { BashTool, BUILTIN_TOOLS, createTools, discoverStartupLspServers, EditTool, FindTool, GrepTool, getSearchTools, HIDDEN_TOOLS, isSearchProviderPreference, type LspStartupServerInfo, loadSshTool, PythonTool, ReadTool, ResolveTool, renderSearchToolBm25Description, setPreferredImageProvider, setPreferredSearchProvider, type Tool, type ToolSession, WriteTool, warmupLspServers, } from "./tools"; import { ToolContextStore } from "./tools/context"; import { getImageGenTools } from "./tools/image-gen"; import { wrapToolWithMetaNotice } from "./tools/output-meta"; import { queueResolveHandler } from "./tools/resolve"; import { EventBus } from "./utils/event-bus"; import { buildNamedToolChoice } from "./utils/tool-choice"; // Types export interface CreateAgentSessionOptions { /** Working directory for project-local discovery. Default: getProjectDir() */ cwd?: string; /** Global config directory. Default: ~/.omp/agent */ agentDir?: string; /** Spawns to allow. Default: "*" */ spawns?: string; /** Auth storage for credentials. Default: discoverAuthStorage(agentDir) */ authStorage?: AuthStorage; /** Model registry. Default: discoverModels(authStorage, agentDir) */ modelRegistry?: ModelRegistry; /** Model to use. Default: from settings, else first available */ model?: Model; /** Raw model pattern string (e.g. from --model CLI flag) to resolve after extensions load. * Used when model lookup is deferred because extension-provided models aren't registered yet. */ modelPattern?: string; /** Thinking selector. Default: from settings, else unset */ thinkingLevel?: ThinkingLevel; /** Models available for cycling (Ctrl+P in interactive mode) */ scopedModels?: Array<{ model: Model; thinkingLevel?: ThinkingLevel }>; /** System prompt. String replaces default, function receives default and returns final. */ systemPrompt?: string | ((defaultPrompt: string) => string); /** Optional provider-facing session identifier for prompt caches and sticky auth selection. * Keeps persisted session files isolated while reusing provider-side caches. */ providerSessionId?: string; /** Custom tools to register (in addition to built-in tools). Accepts both CustomTool and ToolDefinition. */ customTools?: (CustomTool | ToolDefinition)[]; /** Inline extensions (merged with discovery). */ extensions?: ExtensionFactory[]; /** Additional extension paths to load (merged with discovery). */ additionalExtensionPaths?: string[]; /** Disable extension discovery (explicit paths still load). */ disableExtensionDiscovery?: boolean; /** * Pre-loaded extensions (skips file discovery). * @internal Used by CLI when extensions are loaded early to parse custom flags. */ preloadedExtensions?: LoadExtensionsResult; /** Shared event bus for tool/extension communication. Default: creates new bus. */ eventBus?: EventBus; /** Skills. Default: discovered from multiple locations */ skills?: Skill[]; /** Rules. Default: discovered from multiple locations */ rules?: Rule[]; /** Context files (AGENTS.md content). Default: discovered walking up from cwd */ contextFiles?: Array<{ path: string; content: string }>; /** Prompt templates. Default: discovered from cwd/.omp/prompts/ + agentDir/prompts/ */ promptTemplates?: PromptTemplate[]; /** File-based slash commands. Default: discovered from commands/ directories */ slashCommands?: FileSlashCommand[]; /** Enable MCP server discovery from .mcp.json files. Default: true */ enableMCP?: boolean; /** Existing MCP manager to reuse (skips discovery, propagates to toolSession). */ mcpManager?: MCPManager; /** Enable LSP integration (tool, formatting, diagnostics, warmup). Default: true */ enableLsp?: boolean; /** Skip Python kernel availability check and prelude warmup */ skipPythonPreflight?: boolean; /** Force Python prelude warmup even when test env would normally skip it */ forcePythonWarmup?: boolean; /** Tool names explicitly requested (enables disabled-by-default tools) */ toolNames?: string[]; /** Output schema for structured completion (subagents) */ outputSchema?: unknown; /** Whether to include the yield tool by default */ requireYieldTool?: boolean; /** Task recursion depth (for subagent sessions). Default: 0 */ taskDepth?: number; /** Parent task ID prefix for nested artifact naming (e.g., "6-Extensions") */ parentTaskPrefix?: string; /** Session manager. Default: session stored under the configured agentDir sessions root */ sessionManager?: SessionManager; /** Settings instance. Default: Settings.init({ cwd, agentDir }) */ settings?: Settings; /** Whether UI is available (enables interactive tools like ask). Default: false */ hasUI?: boolean; } /** Result from createAgentSession */ export interface CreateAgentSessionResult { /** The created session */ session: AgentSession; /** Extensions result (loaded extensions + runtime) */ extensionsResult: LoadExtensionsResult; /** Update tool UI context (interactive mode) */ setToolUIContext: (uiContext: ExtensionUIContext, hasUI: boolean) => void; /** MCP manager for server lifecycle management (undefined if MCP disabled) */ mcpManager?: MCPManager; /** Warning if session was restored with a different model than saved */ modelFallbackMessage?: string; /** LSP servers detected for startup; warmup may continue in the background */ lspServers?: LspStartupServerInfo[]; /** Shared event bus for tool/extension communication */ eventBus: EventBus; } // Re-exports export type { PromptTemplate } from "./config/prompt-templates"; export { Settings, type SkillsSettings } from "./config/settings"; export type { CustomCommand, CustomCommandFactory } from "./extensibility/custom-commands/types"; export type { CustomTool, CustomToolFactory } from "./extensibility/custom-tools/types"; export type * from "./extensibility/extensions"; export type { Skill } from "./extensibility/skills"; export type { FileSlashCommand } from "./extensibility/slash-commands"; export type { MCPManager, MCPServerConfig, MCPServerConnection, MCPToolsLoadResult } from "./mcp"; export type { Tool } from "./tools"; export { // Individual tool classes (for custom usage) BashTool, // Tool classes and factories BUILTIN_TOOLS, createTools, EditTool, FindTool, GrepTool, HIDDEN_TOOLS, loadSshTool, PythonTool, ReadTool, ResolveTool, type ToolSession, WriteTool, }; // Helper Functions function getDefaultAgentDir(): string { return getAgentDir(); } // Discovery Functions /** * Create an AuthStorage instance with fallback support. * Reads from primary path first, then falls back to legacy paths (.pi, .claude). */ export async function discoverAuthStorage(agentDir: string = getDefaultAgentDir()): Promise { const dbPath = getAgentDbPath(agentDir); logger.debug("discoverAuthStorage", { agentDir, dbPath }); const storage = await AuthStorage.create(dbPath, { configValueResolver: resolveConfigValue }); await storage.reload(); return storage; } /** * Discover extensions from cwd. */ export async function discoverExtensions(cwd?: string): Promise { const resolvedCwd = cwd ?? getProjectDir(); return discoverAndLoadExtensions([], resolvedCwd); } /** * Discover skills from cwd and agentDir. */ export async function discoverSkills( cwd?: string, _agentDir?: string, settings?: SkillsSettings, ): Promise<{ skills: Skill[]; warnings: SkillWarning[] }> { return await loadSkillsInternal({ ...settings, cwd: cwd ?? getProjectDir(), }); } /** * Discover context files (AGENTS.md) walking up from cwd. * Returns files sorted by depth (farther from cwd first, so closer files appear last/more prominent). */ export async function discoverContextFiles( cwd?: string, _agentDir?: string, ): Promise> { return await loadContextFilesInternal({ cwd: cwd ?? getProjectDir(), }); } /** * Discover prompt templates from cwd and agentDir. */ export async function discoverPromptTemplates(cwd?: string, agentDir?: string): Promise { return await loadPromptTemplatesInternal({ cwd: cwd ?? getProjectDir(), agentDir: agentDir ?? getDefaultAgentDir(), }); } /** * Discover file-based slash commands from commands/ directories. */ export async function discoverSlashCommands(cwd?: string): Promise { return loadSlashCommandsInternal({ cwd: cwd ?? getProjectDir() }); } /** * Discover custom commands (TypeScript slash commands) from cwd and agentDir. */ export async function discoverCustomTSCommands(cwd?: string, agentDir?: string): Promise { const resolvedCwd = cwd ?? getProjectDir(); const resolvedAgentDir = agentDir ?? getDefaultAgentDir(); return loadCustomCommandsInternal({ cwd: resolvedCwd, agentDir: resolvedAgentDir, }); } /** * Discover MCP servers from .mcp.json files. * Returns the manager and loaded tools. */ export async function discoverMCPServers(cwd?: string): Promise { const resolvedCwd = cwd ?? getProjectDir(); return discoverAndLoadMCPTools(resolvedCwd); } // API Key Helpers // System Prompt export interface BuildSystemPromptOptions { tools?: Tool[]; skills?: Skill[]; contextFiles?: Array<{ path: string; content: string }>; cwd?: string; appendPrompt?: string; repeatToolDescriptions?: boolean; } /** * Build the default system prompt. */ export async function buildSystemPrompt(options: BuildSystemPromptOptions = {}): Promise { return await buildSystemPromptInternal({ cwd: options.cwd, skills: options.skills, contextFiles: options.contextFiles, appendSystemPrompt: options.appendPrompt, repeatToolDescriptions: options.repeatToolDescriptions, }); } // Internal Helpers function createCustomToolContext(ctx: ExtensionContext): CustomToolContext { return { sessionManager: ctx.sessionManager, modelRegistry: ctx.modelRegistry, model: ctx.model, isIdle: ctx.isIdle, hasQueuedMessages: ctx.hasPendingMessages, abort: ctx.abort, }; } function isCustomTool(tool: CustomTool | ToolDefinition): tool is CustomTool { // To distinguish, we mark converted tools with a hidden symbol property. // If the tool doesn't have this marker, it's a CustomTool that needs conversion. return !(tool as any).__isToolDefinition; } const TOOL_DEFINITION_MARKER = Symbol("__isToolDefinition"); let sshCleanupRegistered = false; async function cleanupSshResources(): Promise { const results = await Promise.allSettled([closeAllConnections(), unmountAll()]); for (const result of results) { if (result.status === "rejected") { logger.warn("SSH cleanup failed", { error: String(result.reason) }); } } } function registerSshCleanup(): void { if (sshCleanupRegistered) return; sshCleanupRegistered = true; postmortem.register("ssh-cleanup", cleanupSshResources); } let pythonCleanupRegistered = false; function registerPythonCleanup(): void { if (pythonCleanupRegistered) return; pythonCleanupRegistered = true; postmortem.register("python-cleanup", disposeAllKernelSessions); } function customToolToDefinition(tool: CustomTool): ToolDefinition { const definition: ToolDefinition & { [TOOL_DEFINITION_MARKER]: true } = { name: tool.name, label: tool.label, description: tool.description, parameters: tool.parameters, hidden: tool.hidden, deferrable: tool.deferrable, mcpServerName: tool.mcpServerName, mcpToolName: tool.mcpToolName, execute: (toolCallId, params, signal, onUpdate, ctx) => tool.execute(toolCallId, params, onUpdate, createCustomToolContext(ctx), signal), onSession: tool.onSession ? (event, ctx) => tool.onSession?.(event, createCustomToolContext(ctx)) : undefined, renderCall: tool.renderCall, renderResult: tool.renderResult ? (result, options, theme): Component => { const component = tool.renderResult?.( result, { expanded: options.expanded, isPartial: options.isPartial, spinnerFrame: options.spinnerFrame }, theme, ); // Return empty component if undefined to match Component type requirement return component ?? ({ render: () => [] } as unknown as Component); } : undefined, [TOOL_DEFINITION_MARKER]: true, }; return definition; } function createCustomToolsExtension(tools: CustomTool[]): ExtensionFactory { return api => { for (const tool of tools) { api.registerTool(customToolToDefinition(tool)); } const runOnSession = async (event: CustomToolSessionEvent, ctx: ExtensionContext) => { for (const tool of tools) { if (!tool.onSession) continue; try { await tool.onSession(event, createCustomToolContext(ctx)); } catch (err) { logger.warn("Custom tool onSession error", { tool: tool.name, error: String(err) }); } } }; api.on("session_start", async (_event, ctx) => runOnSession({ reason: "start", previousSessionFile: undefined }, ctx), ); api.on("session_switch", async (event, ctx) => runOnSession({ reason: "switch", previousSessionFile: event.previousSessionFile }, ctx), ); api.on("session_branch", async (event, ctx) => runOnSession({ reason: "branch", previousSessionFile: event.previousSessionFile }, ctx), ); api.on("session_tree", async (_event, ctx) => runOnSession({ reason: "tree", previousSessionFile: undefined }, ctx), ); api.on("session_shutdown", async (_event, ctx) => runOnSession({ reason: "shutdown", previousSessionFile: undefined }, ctx), ); api.on("auto_compaction_start", async (event, ctx) => runOnSession({ reason: "auto_compaction_start", trigger: event.reason, action: event.action }, ctx), ); api.on("auto_compaction_end", async (event, ctx) => runOnSession( { reason: "auto_compaction_end", action: event.action, result: event.result, aborted: event.aborted, willRetry: event.willRetry, errorMessage: event.errorMessage, }, ctx, ), ); api.on("auto_retry_start", async (event, ctx) => runOnSession( { reason: "auto_retry_start", attempt: event.attempt, maxAttempts: event.maxAttempts, delayMs: event.delayMs, errorMessage: event.errorMessage, }, ctx, ), ); api.on("auto_retry_end", async (event, ctx) => runOnSession( { reason: "auto_retry_end", success: event.success, attempt: event.attempt, finalError: event.finalError, }, ctx, ), ); api.on("ttsr_triggered", async (event, ctx) => runOnSession({ reason: "ttsr_triggered", rules: event.rules }, ctx), ); api.on("todo_reminder", async (event, ctx) => runOnSession( { reason: "todo_reminder", todos: event.todos, attempt: event.attempt, maxAttempts: event.maxAttempts, }, ctx, ), ); }; } // Factory /** * Build LoadedCustomCommand entries for all MCP prompts across connected servers. * These are re-created whenever prompts change (setOnPromptsChanged callback). */ function buildMCPPromptCommands(manager: MCPManager): LoadedCustomCommand[] { const commands: LoadedCustomCommand[] = []; for (const serverName of manager.getConnectedServers()) { const prompts = manager.getServerPrompts(serverName); if (!prompts?.length) continue; for (const prompt of prompts) { const commandName = `${serverName}:${prompt.name}`; commands.push({ path: `mcp:${commandName}`, resolvedPath: `mcp:${commandName}`, source: "bundled", command: { name: commandName, description: prompt.description ?? `MCP prompt from ${serverName}`, async execute(args: string[]) { const promptArgs: Record = {}; for (const arg of args) { const eqIdx = arg.indexOf("="); if (eqIdx > 0) { promptArgs[arg.slice(0, eqIdx)] = arg.slice(eqIdx + 1); } } const result = await manager.executePrompt(serverName, prompt.name, promptArgs); if (!result) return ""; const parts: string[] = []; for (const msg of result.messages) { const contentItems = Array.isArray(msg.content) ? msg.content : [msg.content]; for (const item of contentItems) { if (item.type === "text") { parts.push(item.text); } else if (item.type === "resource") { const resource = item.resource; if (resource.text) parts.push(resource.text); } } } return parts.join("\n\n"); }, }, }); } } return commands; } /** * Create an AgentSession with the specified options. * * @example * ```typescript * // Minimal - uses defaults * const { session } = await createAgentSession(); * * // With explicit model * import { getModel } from '@oh-my-pi/pi-ai'; * const { session } = await createAgentSession({ * model: getModel('anthropic', 'claude-opus-4-5'), * thinkingLevel: 'high', * }); * * // Continue previous session * const { session, modelFallbackMessage } = await createAgentSession({ * continueSession: true, * }); * * // Full control * const { session } = await createAgentSession({ * model: myModel, * getApiKey: async () => Bun.env.MY_KEY, * systemPrompt: 'You are helpful.', * tools: codingTools({ cwd: getProjectDir() }), * skills: [], * sessionManager: SessionManager.inMemory(), * }); * ``` */ export async function createAgentSession(options: CreateAgentSessionOptions = {}): Promise { const cwd = options.cwd ?? getProjectDir(); const agentDir = options.agentDir ?? getDefaultAgentDir(); const eventBus = options.eventBus ?? new EventBus(); registerSshCleanup(); registerPythonCleanup(); // Use provided or create AuthStorage and ModelRegistry const authStorage = options.authStorage ?? (await logger.time("discoverModels", discoverAuthStorage, agentDir)); const modelRegistry = options.modelRegistry ?? new ModelRegistry(authStorage); const settings = options.settings ?? (await logger.time("settings", Settings.init, { cwd, agentDir })); logger.time("initializeWithSettings"); initializeWithSettings(settings); if (!options.modelRegistry) { modelRegistry.refreshInBackground(); } const skillsSettings = settings.getGroup("skills"); const disabledExtensionIds = settings.get("disabledExtensions") ?? []; const discoveredSkillsPromise = options.skills === undefined ? discoverSkills(cwd, agentDir, { ...skillsSettings, disabledExtensions: disabledExtensionIds }) : undefined; // Initialize provider preferences from settings const webSearchProvider = settings.get("providers.webSearch"); if (typeof webSearchProvider === "string" && isSearchProviderPreference(webSearchProvider)) { setPreferredSearchProvider(webSearchProvider); } const imageProvider = settings.get("providers.image"); if ( imageProvider === "auto" || imageProvider === "openai" || imageProvider === "gemini" || imageProvider === "openrouter" ) { setPreferredImageProvider(imageProvider); } const sessionManager = options.sessionManager ?? logger.time("sessionManager", () => SessionManager.create(cwd, SessionManager.getDefaultSessionDir(cwd, agentDir)), ); const providerSessionId = options.providerSessionId ?? sessionManager.getSessionId(); const modelApiKeyAvailability = new Map(); const getModelAvailabilityKey = (candidate: Model): string => `${candidate.provider}\u0000${candidate.baseUrl ?? ""}`; const hasModelApiKey = async (candidate: Model): Promise => { const availabilityKey = getModelAvailabilityKey(candidate); const cached = modelApiKeyAvailability.get(availabilityKey); if (cached !== undefined) { return cached; } const hasKey = !!(await modelRegistry.getApiKey(candidate, providerSessionId)); modelApiKeyAvailability.set(availabilityKey, hasKey); return hasKey; }; // Load and create secret obfuscator early so resumed session state and prompt warnings // reflect actual loaded secrets, not just the setting toggle. let obfuscator: SecretObfuscator | undefined; if (settings.get("secrets.enabled")) { const fileEntries = await logger.time("loadSecrets", loadSecrets, cwd, agentDir); const envEntries = collectEnvSecrets(); const allEntries = [...envEntries, ...fileEntries]; if (allEntries.length > 0) { obfuscator = new SecretObfuscator(allEntries); } } const secretsEnabled = obfuscator?.hasSecrets() === true; // Check if session has existing data to restore const existingSession = logger.time("loadSessionContext", () => deobfuscateSessionContext(sessionManager.buildSessionContext(), obfuscator), ); const existingBranch = logger.time("getSessionBranch", () => sessionManager.getBranch()); const hasExistingSession = existingBranch.length > 0; const hasThinkingEntry = existingBranch.some(entry => entry.type === "thinking_level_change"); const hasServiceTierEntry = existingBranch.some(entry => entry.type === "service_tier_change"); const hasExplicitModel = options.model !== undefined || options.modelPattern !== undefined; const modelMatchPreferences = { usageOrder: settings.getStorage()?.getModelUsageOrder(), }; const defaultRoleSpec = logger.time("resolveDefaultModelRole", () => resolveModelRoleValue(settings.getModelRole("default"), modelRegistry.getAvailable(), { settings, matchPreferences: modelMatchPreferences, modelRegistry, }), ); let model = options.model; let modelFallbackMessage: string | undefined; // If session has data, try to restore model from it. // Skip restore when an explicit model was requested. const defaultModelStr = existingSession.models.default; if (!hasExplicitModel && !model && hasExistingSession && defaultModelStr) { await logger.time("restoreSessionModel", async () => { const parsedModel = parseModelString(defaultModelStr); if (parsedModel) { const restoredModel = modelRegistry.find(parsedModel.provider, parsedModel.id); if (restoredModel && (await hasModelApiKey(restoredModel))) { model = restoredModel; } } if (!model) { modelFallbackMessage = `Could not restore model ${defaultModelStr}`; } }); } // If still no model, try settings default. // Skip settings fallback when an explicit model was requested. if (!hasExplicitModel && !model && defaultRoleSpec.model) { const settingsDefaultModel = defaultRoleSpec.model; logger.time("resolveSettingsDefaultModel", () => { // defaultRoleSpec.model already comes from modelRegistry.getAvailable(), // so re-validating auth here just repeats the expensive lookup path. model = settingsDefaultModel; }); } const taskDepth = options.taskDepth ?? 0; let thinkingLevel = options.thinkingLevel; // If session has data and includes a thinking entry, restore it if (thinkingLevel === undefined && hasExistingSession && hasThinkingEntry) { thinkingLevel = parseThinkingLevel(existingSession.thinkingLevel); } if (thinkingLevel === undefined && !hasExplicitModel && !hasThinkingEntry && defaultRoleSpec.explicitThinkingLevel) { thinkingLevel = defaultRoleSpec.thinkingLevel; } // Fall back to settings default if (thinkingLevel === undefined) { thinkingLevel = settings.get("defaultThinkingLevel"); } if (model) { const resolvedModel = model; thinkingLevel = logger.time("resolveThinkingLevelForModel", () => resolveThinkingLevelForModel(resolvedModel, thinkingLevel), ); } let skills: Skill[]; let skillWarnings: SkillWarning[]; if (options.skills !== undefined) { skills = options.skills; skillWarnings = []; } else { const discovered = await logger.time( "discoverSkills", () => discoveredSkillsPromise ?? Promise.resolve({ skills: [], warnings: [] }), ); skills = discovered.skills; skillWarnings = discovered.warnings; } // Discover rules and bucket them in one pass to avoid repeated scans over large rule sets. const { ttsrManager, rulebookRules, alwaysApplyRules } = await logger.time("discoverTtsrRules", async () => { const ttsrSettings = settings.getGroup("ttsr"); const ttsrManager = new TtsrManager(ttsrSettings); const rulesResult = options.rules !== undefined ? { items: options.rules, warnings: undefined } : await loadCapability(ruleCapability.id, { cwd }); const rulebookRules: Rule[] = []; const alwaysApplyRules: Rule[] = []; for (const rule of rulesResult.items) { const isTtsrRule = rule.condition && rule.condition.length > 0 ? ttsrManager.addRule(rule) : false; if (isTtsrRule) { continue; } if (rule.alwaysApply === true) { alwaysApplyRules.push(rule); continue; } if (rule.description) { rulebookRules.push(rule); } } if (existingSession.injectedTtsrRules.length > 0) { ttsrManager.restoreInjected(existingSession.injectedTtsrRules); } return { ttsrManager, rulebookRules, alwaysApplyRules }; }); const contextFiles = await logger.time( "discoverContextFiles", async () => options.contextFiles ?? (await discoverContextFiles(cwd, agentDir)), ); let agent: Agent; let session!: AgentSession; let hasSession = false; const enableLsp = options.enableLsp ?? true; const backgroundJobsEnabled = isBackgroundJobSupportEnabled(settings); const asyncMaxJobs = Math.min(100, Math.max(1, settings.get("async.maxJobs") ?? 100)); const ASYNC_INLINE_RESULT_MAX_CHARS = 12_000; const ASYNC_PREVIEW_MAX_CHARS = 4_000; const formatAsyncResultForFollowUp = async (result: string): Promise => { if (result.length <= ASYNC_INLINE_RESULT_MAX_CHARS) { return result; } const preview = `${result.slice(0, ASYNC_PREVIEW_MAX_CHARS)}\n\n[Output truncated. Showing first ${ASYNC_PREVIEW_MAX_CHARS.toLocaleString()} characters.]`; try { const { path: artifactPath, id: artifactId } = await sessionManager.allocateArtifactPath("async"); if (artifactPath && artifactId) { await Bun.write(artifactPath, result); return `${preview}\nFull output: artifact://${artifactId}`; } } catch (error) { logger.warn("Failed to persist async follow-up artifact", { error: error instanceof Error ? error.message : String(error), }); } return preview; }; const asyncJobManager = backgroundJobsEnabled ? new AsyncJobManager({ maxRunningJobs: asyncMaxJobs, onJobComplete: async (jobId, result, job) => { if (!session || asyncJobManager!.isDeliverySuppressed(jobId)) return; const formattedResult = await formatAsyncResultForFollowUp(result); if (asyncJobManager!.isDeliverySuppressed(jobId)) return; const message = prompt.render(asyncResultTemplate, { jobId, result: formattedResult }); const durationMs = job ? Math.max(0, Date.now() - job.startTime) : undefined; await session.sendCustomMessage( { customType: "async-result", content: message, display: true, attribution: "agent", details: { jobId, type: job?.type, label: job?.label, durationMs, }, }, { deliverAs: "followUp", triggerTurn: true }, ); }, }) : undefined; const pythonKernelOwnerId = `agent-session:${Snowflake.next()}`; try { const getActiveModelString = (): string | undefined => { const activeModel = agent?.state.model; if (activeModel) return formatModelString(activeModel); if (model) return formatModelString(model); return undefined; }; const toolSession: ToolSession = { cwd, hasUI: options.hasUI ?? false, enableLsp, get hasEditTool() { const requestedToolNames = options.toolNames ? [...new Set(options.toolNames.map(name => name.toLowerCase()))] : undefined; return !requestedToolNames || requestedToolNames.includes("edit"); }, skipPythonPreflight: options.skipPythonPreflight, forcePythonWarmup: options.forcePythonWarmup, contextFiles, skills, eventBus, outputSchema: options.outputSchema, requireYieldTool: options.requireYieldTool, taskDepth: options.taskDepth ?? 0, getSessionFile: () => sessionManager.getSessionFile() ?? null, getPythonKernelOwnerId: () => pythonKernelOwnerId, assertPythonExecutionAllowed: () => session?.assertPythonExecutionAllowed(), trackPythonExecution: (execution, abortController) => session ? session.trackPythonExecution(execution, abortController) : execution, getSessionId: () => sessionManager.getSessionId?.() ?? null, getSessionSpawns: () => options.spawns ?? "*", getModelString: () => (hasExplicitModel && model ? formatModelString(model) : undefined), getActiveModelString, getPlanModeState: () => session.getPlanModeState(), getCompactContext: () => session.formatCompactContext(), getTodoPhases: () => session.getTodoPhases(), setTodoPhases: phases => session.setTodoPhases(phases), isMCPDiscoveryEnabled: () => session.isMCPDiscoveryEnabled(), getDiscoverableMCPTools: () => session.getDiscoverableMCPTools(), getDiscoverableMCPSearchIndex: () => session.getDiscoverableMCPSearchIndex(), getSelectedMCPToolNames: () => session.getSelectedMCPToolNames(), activateDiscoveredMCPTools: toolNames => session.activateDiscoveredMCPTools(toolNames), getCheckpointState: () => session.getCheckpointState(), setCheckpointState: state => session.setCheckpointState(state ?? undefined), getToolChoiceQueue: () => session.toolChoiceQueue, buildToolChoice: name => { const m = session.model; return m ? buildNamedToolChoice(name, m) : undefined; }, steer: msg => session.agent.steer({ role: "custom", customType: msg.customType, content: msg.content, display: false, details: msg.details, attribution: "agent", timestamp: Date.now(), }), peekQueueInvoker: () => session.peekQueueInvoker(), allocateOutputArtifact: async toolType => { try { return await sessionManager.allocateArtifactPath(toolType); } catch { return {}; } }, settings, authStorage, modelRegistry, asyncJobManager, }; // Initialize internal URL router for internal protocols (agent://, artifact://, memory://, skill://, rule://, mcp://, local://) const internalRouter = new InternalUrlRouter(); const getArtifactsDir = () => sessionManager.getArtifactsDir(); internalRouter.register(new AgentProtocolHandler({ getArtifactsDir })); internalRouter.register(new ArtifactProtocolHandler({ getArtifactsDir })); internalRouter.register( new MemoryProtocolHandler({ getMemoryRoot: () => getMemoryRoot(agentDir, settings.getCwd()), }), ); internalRouter.register( new LocalProtocolHandler({ getArtifactsDir, getSessionId: () => sessionManager.getSessionId(), }), ); internalRouter.register( new SkillProtocolHandler({ getSkills: () => skills, }), ); internalRouter.register( new RuleProtocolHandler({ getRules: () => [...rulebookRules, ...alwaysApplyRules], }), ); internalRouter.register(new PiProtocolHandler()); internalRouter.register(new JobsProtocolHandler({ getAsyncJobManager: () => asyncJobManager })); internalRouter.register(new McpProtocolHandler({ getMcpManager: () => mcpManager })); toolSession.internalRouter = internalRouter; toolSession.getArtifactsDir = getArtifactsDir; toolSession.agentOutputManager = new AgentOutputManager( getArtifactsDir, options.parentTaskPrefix ? { parentPrefix: options.parentTaskPrefix } : undefined, ); // Create built-in tools (already wrapped with meta notice formatting) const builtinTools = await logger.time("createAllTools", createTools, toolSession, options.toolNames); // Discover MCP tools from .mcp.json files let mcpManager: MCPManager | undefined = options.mcpManager; const enableMCP = options.enableMCP ?? true; const customTools: CustomTool[] = []; if (enableMCP && !mcpManager) { const mcpResult = await logger.time("discoverAndLoadMCPTools", discoverAndLoadMCPTools, cwd, { onConnecting: serverNames => { if (options.hasUI && serverNames.length > 0) { process.stderr.write(`${chalk.gray(`Connecting to MCP servers: ${serverNames.join(", ")}…`)}\n`); } }, enableProjectConfig: settings.get("mcp.enableProjectConfig") ?? true, // Always filter Exa - we have native integration filterExa: true, // Filter browser MCP servers when builtin browser tool is active filterBrowser: settings.get("browser.enabled") ?? false, cacheStorage: settings.getStorage(), authStorage, }); mcpManager = mcpResult.manager; if (settings.get("mcp.notifications")) { mcpManager.setNotificationsEnabled(true); } // If we extracted Exa API keys from MCP configs and EXA_API_KEY isn't set, use the first one if (mcpResult.exaApiKeys.length > 0 && !$env.EXA_API_KEY) { Bun.env.EXA_API_KEY = mcpResult.exaApiKeys[0]; } // Log MCP errors for (const { path, error } of mcpResult.errors) { logger.error("MCP tool load failed", { path, error }); } if (mcpResult.tools.length > 0) { // MCP tools are LoadedCustomTool, extract the tool property customTools.push(...mcpResult.tools.map(loaded => loaded.tool)); } } toolSession.mcpManager = mcpManager; // Add image tools when the active model or configured image providers can generate images. const imageGenTools = await logger.time("getImageGenTools", () => getImageGenTools(modelRegistry, model)); if (imageGenTools.length > 0) { customTools.push(...(imageGenTools as unknown as CustomTool[])); } // Add web search tools if (options.toolNames?.includes("web_search")) { customTools.push(...getSearchTools()); } // Discover and load custom tools from .omp/tools/, .claude/tools/, etc. const builtInToolNames = builtinTools.map(t => t.name); const discoveredCustomTools = await logger.time( "discoverAndLoadCustomTools", discoverAndLoadCustomTools, [], cwd, builtInToolNames, action => queueResolveHandler(toolSession, action), ); for (const { path, error } of discoveredCustomTools.errors) { logger.error("Custom tool load failed", { path, error }); } if (discoveredCustomTools.tools.length > 0) { customTools.push(...discoveredCustomTools.tools.map(loaded => loaded.tool)); } const inlineExtensions: ExtensionFactory[] = options.extensions ? [...options.extensions] : []; inlineExtensions.push(createAutoresearchExtension); if (customTools.length > 0) { inlineExtensions.push(createCustomToolsExtension(customTools)); } // Load extensions (discovers from standard locations + configured paths) let extensionsResult: LoadExtensionsResult; if (options.disableExtensionDiscovery) { const configuredPaths = options.additionalExtensionPaths ?? []; extensionsResult = await logger.time("loadExtensions", loadExtensions, configuredPaths, cwd, eventBus); for (const { path, error } of extensionsResult.errors) { logger.error("Failed to load extension", { path, error }); } } else if (options.preloadedExtensions) { extensionsResult = options.preloadedExtensions; } else { // Merge CLI extension paths with settings extension paths const configuredPaths = [...(options.additionalExtensionPaths ?? []), ...(settings.get("extensions") ?? [])]; const disabledExtensionIds = settings.get("disabledExtensions") ?? []; extensionsResult = await logger.time( "discoverAndLoadExtensions", discoverAndLoadExtensions, configuredPaths, cwd, eventBus, disabledExtensionIds, ); for (const { path, error } of extensionsResult.errors) { logger.error("Failed to load extension", { path, error }); } } // Load inline extensions from factories if (inlineExtensions.length > 0) { for (let i = 0; i < inlineExtensions.length; i++) { const factory = inlineExtensions[i]; const loaded = await loadExtensionFromFactory( factory, cwd, eventBus, extensionsResult.runtime, ``, ); extensionsResult.extensions.push(loaded); } } // Process provider registrations queued during extension loading. // This must happen before the runner is created so that models registered by // extensions are available for model selection on session resume / fallback. const activeExtensionSources = extensionsResult.extensions.map(extension => extension.path); modelRegistry.syncExtensionSources(activeExtensionSources); for (const sourceId of new Set(activeExtensionSources)) { modelRegistry.clearSourceRegistrations(sourceId); } if (extensionsResult.runtime.pendingProviderRegistrations.length > 0) { for (const { name, config, sourceId } of extensionsResult.runtime.pendingProviderRegistrations) { modelRegistry.registerProvider(name, config, sourceId); } extensionsResult.runtime.pendingProviderRegistrations = []; } // Resolve deferred --model pattern now that extension models are registered. if (!model && options.modelPattern) { const availableModels = modelRegistry.getAll(); const matchPreferences = { usageOrder: settings.getStorage()?.getModelUsageOrder(), }; const { model: resolved } = parseModelPattern(options.modelPattern, availableModels, matchPreferences, { modelRegistry, }); if (resolved) { model = resolved; modelFallbackMessage = undefined; } else { modelFallbackMessage = `Model "${options.modelPattern}" not found`; } } // Fall back to first available model with a valid API key. // Skip fallback if the user explicitly requested a model via --model that wasn't found. if (!model && !options.modelPattern) { const allModels = modelRegistry.getAll(); for (const candidate of allModels) { if (await hasModelApiKey(candidate)) { model = candidate; break; } } if (model) { if (modelFallbackMessage) { modelFallbackMessage += `. Using ${model.provider}/${model.id}`; } } else { modelFallbackMessage = "No models available. Use /login or set an API key environment variable. Then use /model to select a model."; } } // Discover custom commands (TypeScript slash commands) const customCommandsResult: CustomCommandsLoadResult = options.disableExtensionDiscovery ? { commands: [], errors: [] } : await logger.time("discoverCustomCommands", loadCustomCommandsInternal, { cwd, agentDir }); if (!options.disableExtensionDiscovery) { for (const { path, error } of customCommandsResult.errors) { logger.error("Failed to load custom command", { path, error }); } } let extensionRunner: ExtensionRunner | undefined; if (extensionsResult.extensions.length > 0) { extensionRunner = new ExtensionRunner( extensionsResult.extensions, extensionsResult.runtime, cwd, sessionManager, modelRegistry, ); } const getSessionContext = () => ({ sessionManager, modelRegistry, model: agent.state.model, isIdle: () => !session.isStreaming, hasQueuedMessages: () => session.queuedMessageCount > 0, abort: () => { session.abort(); }, settings, }); const toolContextStore = new ToolContextStore(getSessionContext); const registeredTools = extensionRunner?.getAllRegisteredTools() ?? []; let wrappedExtensionTools: Tool[]; if (extensionRunner) { // With extension runner: convert CustomTools to ToolDefinitions and wrap all together const allCustomTools = [ ...registeredTools, ...(options.customTools?.map(tool => { const definition = isCustomTool(tool) ? customToolToDefinition(tool) : tool; return { definition, extensionPath: "" }; }) ?? []), ]; wrappedExtensionTools = wrapRegisteredTools(allCustomTools, extensionRunner); } else { // Without extension runner: wrap CustomTools directly with CustomToolAdapter // ToolDefinition items require ExtensionContext and cannot be used without a runner const customToolContext = (): CustomToolContext => ({ sessionManager, modelRegistry, model: agent?.state.model, isIdle: () => !session?.isStreaming, hasQueuedMessages: () => (session?.queuedMessageCount ?? 0) > 0, abort: () => session?.abort(), settings, }); wrappedExtensionTools = (options.customTools ?? []) .filter(isCustomTool) .map(tool => CustomToolAdapter.wrap(tool, customToolContext)); } // All built-in tools are active (conditional tools like git/ask return null from factory if disabled) const toolRegistry = new Map(); for (const tool of builtinTools) { toolRegistry.set(tool.name, tool); } for (const tool of wrappedExtensionTools) { toolRegistry.set(tool.name, tool); } if (extensionRunner) { for (const tool of toolRegistry.values()) { toolRegistry.set(tool.name, new ExtensionToolWrapper(tool, extensionRunner)); } } if (model?.provider === "cursor") { toolRegistry.delete("edit"); } const hasDeferrableTools = Array.from(toolRegistry.values()).some(tool => tool.deferrable === true); if (!hasDeferrableTools) { toolRegistry.delete("resolve"); } else if (!toolRegistry.has("resolve")) { const resolveTool = await logger.time("createTools:resolve:session", HIDDEN_TOOLS.resolve, toolSession); if (resolveTool) { toolRegistry.set(resolveTool.name, wrapToolWithMetaNotice(resolveTool)); } } let cursorEventEmitter: ((event: AgentEvent) => void) | undefined; const cursorExecHandlers = new CursorExecHandlers({ cwd, tools: toolRegistry, getToolContext: () => toolContextStore.getContext(), emitEvent: event => cursorEventEmitter?.(event), }); const repeatToolDescriptions = settings.get("repeatToolDescriptions"); const eagerTasks = settings.get("task.eager"); const intentField = settings.get("tools.intentTracing") || $flag("PI_INTENT_TRACING") ? INTENT_FIELD : undefined; const rebuildSystemPrompt = async (toolNames: string[], tools: Map): Promise => { toolContextStore.setToolNames(toolNames); const discoverableMCPTools = mcpDiscoveryEnabled ? collectDiscoverableMCPTools(tools.values()) : []; const discoverableMCPSummary = summarizeDiscoverableMCPTools(discoverableMCPTools); const hasDiscoverableMCPTools = mcpDiscoveryEnabled && toolNames.includes("search_tool_bm25") && discoverableMCPTools.length > 0; const promptTools = buildSystemPromptToolMetadata(tools, { search_tool_bm25: { description: renderSearchToolBm25Description(discoverableMCPTools) }, }); const memoryInstructions = await buildMemoryToolDeveloperInstructions(agentDir, settings); // Build combined append prompt: memory instructions + MCP server instructions const serverInstructions = mcpManager?.getServerInstructions(); let appendPrompt: string | undefined = memoryInstructions ?? undefined; if (serverInstructions && serverInstructions.size > 0) { const MAX_INSTRUCTIONS_LENGTH = 4000; const parts: string[] = []; if (appendPrompt) parts.push(appendPrompt); parts.push( "## MCP Server Instructions\n\nThe following instructions are provided by connected MCP servers. They are server-controlled and may not be verified.", ); for (const [srvName, srvInstructions] of serverInstructions) { const truncated = srvInstructions.length > MAX_INSTRUCTIONS_LENGTH ? `${srvInstructions.slice(0, MAX_INSTRUCTIONS_LENGTH)}\n[truncated]` : srvInstructions; parts.push(`### ${srvName}\n${truncated}`); } appendPrompt = parts.join("\n\n"); } const defaultPrompt = await buildSystemPromptInternal({ cwd, skills, contextFiles, tools: promptTools, toolNames, rules: rulebookRules, alwaysApplyRules, skillsSettings: settings.getGroup("skills"), appendSystemPrompt: appendPrompt, repeatToolDescriptions, intentField, mcpDiscoveryMode: hasDiscoverableMCPTools, mcpDiscoveryServerSummaries: discoverableMCPSummary.servers.map(formatDiscoverableMCPToolServerSummary), eagerTasks, secretsEnabled, }); if (options.systemPrompt === undefined) { return defaultPrompt; } if (typeof options.systemPrompt === "string") { return await buildSystemPromptInternal({ cwd, skills, contextFiles, tools: promptTools, toolNames, rules: rulebookRules, alwaysApplyRules, skillsSettings: settings.getGroup("skills"), customPrompt: options.systemPrompt, appendSystemPrompt: appendPrompt, repeatToolDescriptions, intentField, mcpDiscoveryMode: hasDiscoverableMCPTools, mcpDiscoveryServerSummaries: discoverableMCPSummary.servers.map(formatDiscoverableMCPToolServerSummary), eagerTasks, secretsEnabled, }); } return options.systemPrompt(defaultPrompt); }; const toolNamesFromRegistry = Array.from(toolRegistry.keys()); const requestedToolNames = (options.toolNames ? [...new Set(options.toolNames.map(name => name.toLowerCase()))] : undefined) ?? toolNamesFromRegistry; const normalizedRequested = requestedToolNames.filter(name => toolRegistry.has(name)); const includeExitPlanMode = requestedToolNames.includes("exit_plan_mode"); const mcpDiscoveryEnabled = settings.get("mcp.discoveryMode") ?? false; const defaultInactiveToolNames = new Set( registeredTools.filter(tool => tool.definition.defaultInactive).map(tool => tool.definition.name), ); const requestedActiveToolNames = includeExitPlanMode ? normalizedRequested : normalizedRequested.filter(name => name !== "exit_plan_mode"); const initialRequestedActiveToolNames = options.toolNames ? requestedActiveToolNames : requestedActiveToolNames.filter(name => !defaultInactiveToolNames.has(name)); const explicitlyRequestedMCPToolNames = options.toolNames ? requestedActiveToolNames.filter(name => name.startsWith("mcp_")) : []; const discoveryDefaultServers = new Set( (settings.get("mcp.discoveryDefaultServers") ?? []).map(serverName => serverName.trim()).filter(Boolean), ); const discoveryDefaultServerToolNames = mcpDiscoveryEnabled ? selectDiscoverableMCPToolNamesByServer( collectDiscoverableMCPTools(toolRegistry.values()), discoveryDefaultServers, ) : []; let initialSelectedMCPToolNames: string[] = []; let defaultSelectedMCPToolNames: string[] = []; let initialToolNames = [...initialRequestedActiveToolNames]; if (mcpDiscoveryEnabled) { const restoredSelectedMCPToolNames = existingSession.selectedMCPToolNames.filter(name => toolRegistry.has(name), ); defaultSelectedMCPToolNames = [ ...new Set([...discoveryDefaultServerToolNames, ...explicitlyRequestedMCPToolNames]), ]; initialSelectedMCPToolNames = existingSession.hasPersistedMCPToolSelection ? restoredSelectedMCPToolNames : [...new Set([...restoredSelectedMCPToolNames, ...defaultSelectedMCPToolNames])]; initialToolNames = [ ...new Set([ ...initialRequestedActiveToolNames.filter(name => !name.startsWith("mcp_")), ...initialSelectedMCPToolNames, ]), ]; } // Custom tools and extension-registered tools are always included regardless of toolNames filter const alwaysInclude: string[] = [ ...(options.customTools?.map(t => (isCustomTool(t) ? t.name : t.name)) ?? []), ...registeredTools.filter(t => !t.definition.defaultInactive).map(t => t.definition.name), ]; for (const name of alwaysInclude) { if (mcpDiscoveryEnabled && name.startsWith("mcp_")) { continue; } if (toolRegistry.has(name) && !initialToolNames.includes(name)) { initialToolNames.push(name); } } const systemPrompt = await logger.time("buildSystemPrompt", rebuildSystemPrompt, initialToolNames, toolRegistry); const promptTemplates = options.promptTemplates ?? (await logger.time("discoverPromptTemplates", discoverPromptTemplates, cwd, agentDir)); toolSession.promptTemplates = promptTemplates; const slashCommands = options.slashCommands ?? (await logger.time("discoverSlashCommands", discoverSlashCommands, cwd)); // Create convertToLlm wrapper that filters images if blockImages is enabled (defense-in-depth) const convertToLlmWithBlockImages = (messages: AgentMessage[]): Message[] => { const converted = convertToLlm(messages); // Check setting dynamically so mid-session changes take effect if (!settings.get("images.blockImages")) { return converted; } // Filter out ImageContent from all messages, replacing with text placeholder return converted.map(msg => { if (msg.role === "user" || msg.role === "toolResult") { const content = msg.content; if (Array.isArray(content)) { const hasImages = content.some(c => c.type === "image"); if (hasImages) { const filteredContent = content .map(c => c.type === "image" ? { type: "text" as const, text: "Image reading is disabled." } : c, ) .filter((c, i, arr) => { // Dedupe consecutive "Image reading is disabled." texts if (!(c.type === "text" && c.text === "Image reading is disabled." && i > 0)) return true; const prev = arr[i - 1]; return !(prev.type === "text" && prev.text === "Image reading is disabled."); }); return { ...msg, content: filteredContent }; } } } return msg; }); }; // Final convertToLlm: chain block-images filter with secret obfuscation const convertToLlmFinal = (messages: AgentMessage[]): Message[] => { const converted = convertToLlmWithBlockImages(messages); if (!obfuscator?.hasSecrets()) return converted; return obfuscateMessages(obfuscator, converted); }; const transformContext = extensionRunner ? async (messages: AgentMessage[], _signal?: AbortSignal) => { return await extensionRunner.emitContext(messages); } : undefined; const onPayload = extensionRunner ? async (payload: unknown, _model?: Model) => { return await extensionRunner.emitBeforeProviderRequest(payload); } : undefined; const setToolUIContext = (uiContext: ExtensionUIContext, hasUI: boolean) => { toolContextStore.setUIContext(uiContext, hasUI); }; const initialTools = initialToolNames .map(name => toolRegistry.get(name)) .filter((tool): tool is AgentTool => tool !== undefined); const openaiWebsocketSetting = settings.get("providers.openaiWebsockets") ?? "off"; const preferOpenAICodexWebsockets = openaiWebsocketSetting === "on" ? true : openaiWebsocketSetting === "off" ? false : undefined; const serviceTierSetting = settings.get("serviceTier"); const initialServiceTier = hasServiceTierEntry ? existingSession.serviceTier : serviceTierSetting === "none" ? undefined : serviceTierSetting; agent = new Agent({ initialState: { systemPrompt, model, thinkingLevel: toReasoningEffort(thinkingLevel), tools: initialTools, }, convertToLlm: convertToLlmFinal, onPayload, sessionId: providerSessionId, transformContext, steeringMode: settings.get("steeringMode") ?? "one-at-a-time", followUpMode: settings.get("followUpMode") ?? "one-at-a-time", interruptMode: settings.get("interruptMode") ?? "immediate", thinkingBudgets: settings.getGroup("thinkingBudgets"), temperature: settings.get("temperature") >= 0 ? settings.get("temperature") : undefined, topP: settings.get("topP") >= 0 ? settings.get("topP") : undefined, topK: settings.get("topK") >= 0 ? settings.get("topK") : undefined, minP: settings.get("minP") >= 0 ? settings.get("minP") : undefined, presencePenalty: settings.get("presencePenalty") >= 0 ? settings.get("presencePenalty") : undefined, repetitionPenalty: settings.get("repetitionPenalty") >= 0 ? settings.get("repetitionPenalty") : undefined, serviceTier: initialServiceTier, kimiApiFormat: settings.get("providers.kimiApiFormat") ?? "anthropic", preferWebsockets: preferOpenAICodexWebsockets, getToolContext: tc => toolContextStore.getContext(tc), getApiKey: async provider => { // Use the provider-facing session id for sticky credential selection so cache keys // and provider auth affinity stay aligned across fresh benchmark sessions. const key = await modelRegistry.getApiKeyForProvider(provider, providerSessionId); if (!key) { throw new Error(`No API key found for provider "${provider}"`); } return key; }, cursorExecHandlers, transformToolCallArguments: (args, _toolName) => { let result = args; const maxTimeout = settings.get("tools.maxTimeout"); if (maxTimeout > 0 && typeof result.timeout === "number") { result = { ...result, timeout: Math.min(result.timeout, maxTimeout) }; } if (obfuscator?.hasSecrets()) { result = obfuscator.deobfuscateObject(result); } return result; }, intentTracing: !!intentField, getToolChoice: () => session?.nextToolChoice(), }); cursorEventEmitter = event => agent.emitExternalEvent(event); // Restore messages if session has existing data if (hasExistingSession) { agent.replaceMessages(existingSession.messages); } else { // Save initial model and thinking level for new sessions so they can be restored on resume if (model) { sessionManager.appendModelChange(`${model.provider}/${model.id}`); } sessionManager.appendThinkingLevelChange(thinkingLevel); } session = new AgentSession({ agent, thinkingLevel, sessionManager, settings, pythonKernelOwnerId, scopedModels: options.scopedModels, promptTemplates, slashCommands, extensionRunner, customCommands: customCommandsResult.commands, skills, skillWarnings, skillsSettings: settings.getGroup("skills"), modelRegistry, toolRegistry, transformContext, onPayload, convertToLlm: convertToLlmFinal, rebuildSystemPrompt, mcpDiscoveryEnabled, initialSelectedMCPToolNames, defaultSelectedMCPToolNames, persistInitialMCPToolSelection: !hasExistingSession, defaultSelectedMCPServerNames: [...discoveryDefaultServers], ttsrManager, obfuscator, asyncJobManager, }); hasSession = true; if (model?.api === "openai-codex-responses") { const codexModel = model; const codexTransport = getOpenAICodexTransportDetails(codexModel, { sessionId: providerSessionId, baseUrl: codexModel.baseUrl, preferWebsockets: preferOpenAICodexWebsockets, providerSessionState: session.providerSessionState, }); if (codexTransport.websocketPreferred) { void (async () => { try { const codexPrewarmApiKey = await modelRegistry.getApiKey(codexModel, providerSessionId); if (!codexPrewarmApiKey) return; await logger.time("prewarmOpenAICodexResponses", prewarmOpenAICodexResponses, codexModel, { apiKey: codexPrewarmApiKey, sessionId: providerSessionId, preferWebsockets: preferOpenAICodexWebsockets, providerSessionState: session.providerSessionState, }); } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); logger.debug("Codex websocket prewarm failed", { error: errorMessage, provider: codexModel.provider, model: codexModel.id, }); } })(); } } // Start LSP warmup in the background so startup does not block on language server initialization. let lspServers: CreateAgentSessionResult["lspServers"]; if (enableLsp && settings.get("lsp.diagnosticsOnWrite")) { lspServers = discoverStartupLspServers(cwd); if (lspServers.length > 0) { void (async () => { try { const result = await logger.time("warmupLspServers", warmupLspServers, cwd); const serversByName = new Map(result.servers.map(server => [server.name, server] as const)); for (const server of lspServers ?? []) { const next = serversByName.get(server.name); if (!next) continue; server.status = next.status; server.fileTypes = next.fileTypes; server.error = next.error; } const event: LspStartupEvent = { type: "completed", servers: result.servers, }; eventBus.emit(LSP_STARTUP_EVENT_CHANNEL, event); } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); logger.warn("LSP server warmup failed", { cwd, error: errorMessage }); for (const server of lspServers ?? []) { server.status = "error"; server.error = errorMessage; } const event: LspStartupEvent = { type: "failed", error: errorMessage, }; eventBus.emit(LSP_STARTUP_EVENT_CHANNEL, event); } })(); } } logger.time("startMemoryStartupTask", () => startMemoryStartupTask({ session, settings, modelRegistry, agentDir, taskDepth, }), ); // Wire MCP manager callbacks to session for reactive tool updates. // Skip when reusing a parent's manager — the parent owns the callbacks. if (mcpManager && !options.mcpManager) { mcpManager.setOnToolsChanged(tools => { void session.refreshMCPTools(tools); }); // Wire prompt refresh → rebuild MCP prompt slash commands mcpManager.setOnPromptsChanged(serverName => { const promptCommands = buildMCPPromptCommands(mcpManager); session.setMCPPromptCommands(promptCommands); logger.debug("MCP prompt commands refreshed", { path: `mcp:${serverName}` }); }); const notificationDebounceTimers = new Map(); const clearDebounceTimers = () => { for (const timer of notificationDebounceTimers.values()) clearTimeout(timer); notificationDebounceTimers.clear(); }; postmortem.register("mcp-notification-cleanup", clearDebounceTimers); mcpManager.setOnResourcesChanged((serverName, uri) => { logger.debug("MCP resources changed", { path: `mcp:${serverName}`, uri }); if (!settings.get("mcp.notifications")) return; const debounceMs = settings.get("mcp.notificationDebounceMs"); const key = `${serverName}:${uri}`; const existing = notificationDebounceTimers.get(key); if (existing) clearTimeout(existing); notificationDebounceTimers.set( key, setTimeout(() => { notificationDebounceTimers.delete(key); // Re-check: user may have disabled notifications during the debounce window if (!settings.get("mcp.notifications")) return; void session.followUp( `[MCP notification] Server "${serverName}" reports resource \`${uri}\` was updated. Use read(path="mcp://${uri}") to inspect if relevant.`, ); }, debounceMs), ); }); } logger.time("createAgentSession:return"); return { session, extensionsResult, setToolUIContext, mcpManager, modelFallbackMessage, lspServers, eventBus, }; } catch (error) { try { if (hasSession) { await session.dispose(); } else { await disposeKernelSessionsByOwner(pythonKernelOwnerId); } } catch (cleanupError) { logger.warn("Failed to clean up createAgentSession resources after startup error", { error: cleanupError instanceof Error ? cleanupError.message : String(cleanupError), }); } throw error; } }