@earendil-works/pi-coding-agent - npm Package Compare versions

Comparing version 0.80.8 to 0.80.9

examples/extensions/kimi-deferred-tools.ts

+/**
+ * Minimal Kimi deferred-tool loading demo.
+ *
+ *   pi -e ./kimi-deferred-tools.ts
+ *    example prompt: Use the available tools to calculate 100 + 500. Do not calculate it yourself.
+ */
+
+import type { ExtensionAPI } from "@earendil-works/pi-coding-agent";
+import { Type } from "typebox";
+
+function calculate(_expr: string): string {
+	return "42";
+}
+
+export default function (pi: ExtensionAPI): void {
+	pi.registerTool({
+		name: "Calculator",
+		label: "Calculator",
+		description: "Evaluate a simple arithmetic expression.",
+		parameters: Type.Object({
+			expr: Type.String({ description: "An expression such as 100 + 500" }),
+		}),
+		async execute(_toolCallId, params) {
+			return {
+				content: [{ type: "text", text: calculate(params.expr) }],
+				details: {},
+			};
+		},
+	});
+
+	pi.registerTool({
+		name: "tool_search",
+		label: "Tool Search",
+		description: "Find and activate tools for a capability.",
+		promptSnippet: "Search for additional tools when the active tools cannot perform the task",
+		parameters: Type.Object({
+			query: Type.String({ description: "Capability to search for" }),
+		}),
+		async execute(_toolCallId, params) {
+			if (!params.query.toLowerCase().includes("calc")) {
+				return {
+					content: [{ type: "text", text: "The relevant tools do not exist." }],
+					details: { matches: [], added: [] },
+				};
+			}
+
+			const active = pi.getActiveTools();
+			const added = active.includes("Calculator") ? [] : ["Calculator"];
+			if (added.length > 0) pi.setActiveTools([...active, ...added]);
+
+			return {
+				content: [{ type: "text", text: "Success. Found 1 matching tool(s)" }],
+				details: { matches: ["Calculator"], added },
+			};
+		},
+	});
+
+	pi.on("session_start", () => {
+		pi.setActiveTools(["tool_search"]);
+	});
+}

dist/core/agent-session-runtime.d.ts.map

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{ copyFileSync, existsSync, mkdirSync } from \"node:fs\";\nimport { basename, join, resolve } from \"node:path\";\nimport { resolvePath } from \"../utils/paths.ts\";\nimport type { AgentSession } from \"./agent-session.ts\";\nimport type { AgentSessionRuntimeDiagnostic, AgentSessionServices } from \"./agent-session-services.ts\";\nimport type {\n\tProjectTrustContext,\n\tReplacedSessionContext,\n\tSessionShutdownEvent,\n\tSessionStartEvent,\n} from \"./extensions/index.ts\";\nimport { emitSessionShutdownEvent } from \"./extensions/runner.ts\";\nimport type { CreateAgentSessionResult } from \"./sdk.ts\";\nimport { assertSessionCwdExists } from \"./session-cwd.ts\";\nimport { SessionManager } from \"./session-manager.ts\";\n\n/**\n * Result returned by runtime creation.\n *\n * The caller gets the created session, its cwd-bound services, and all\n * diagnostics collected during setup.\n */\nexport interface CreateAgentSessionRuntimeResult extends CreateAgentSessionResult {\n\tservices: AgentSessionServices;\n\tdiagnostics: AgentSessionRuntimeDiagnostic[];\n}\n\n/**\n * Creates a full runtime for a target cwd and session manager.\n *\n * The factory closes over process-global fixed inputs, recreates cwd-bound\n * services for the effective cwd, resolves session options against those\n * services, and finally creates the AgentSession.\n */\nexport type CreateAgentSessionRuntimeFactory = (options: {\n\tcwd: string;\n\tagentDir: string;\n\tsessionManager: SessionManager;\n\tsessionStartEvent?: SessionStartEvent;\n\tprojectTrustContext?: ProjectTrustContext;\n}) => Promise<CreateAgentSessionRuntimeResult>;\n\n/**\n * Thrown when /import references a JSONL file path that does not exist.\n */\nexport class SessionImportFileNotFoundError extends Error {\n\treadonly filePath: string;\n\n\tconstructor(filePath: string) {\n\t\tsuper(`File not found: ${filePath}`);\n\t\tthis.name = \"SessionImportFileNotFoundError\";\n\t\tthis.filePath = filePath;\n\t}\n}\n\nfunction extractUserMessageText(content: string | Array<{ type: string; text?: string }>): string {\n\tif (typeof content === \"string\") {\n\t\treturn content;\n\t}\n\n\treturn content\n\t\t.filter((part): part is { type: \"text\"; text: string } => part.type === \"text\" && typeof part.text === \"string\")\n\t\t.map((part) => part.text)\n\t\t.join(\"\");\n}\n\n/**\n * Owns the current AgentSession plus its cwd-bound services.\n *\n * Session replacement methods tear down the current runtime first, then create\n * and apply the next runtime. If creation fails, the error is propagated to the\n * caller. The caller is responsible for user-facing error handling.\n */\nexport class AgentSessionRuntime {\n\tprivate rebindSession?: (session: AgentSession) => Promise<void>;\n\tprivate beforeSessionInvalidate?: () => void;\n\tprivate _session: AgentSession;\n\tprivate _services: AgentSessionServices;\n\tprivate readonly createRuntime: CreateAgentSessionRuntimeFactory;\n\tprivate _diagnostics: AgentSessionRuntimeDiagnostic[];\n\tprivate _modelFallbackMessage?: string;\n\n\tconstructor(\n\t\t_session: AgentSession,\n\t\t_services: AgentSessionServices,\n\t\tcreateRuntime: CreateAgentSessionRuntimeFactory,\n\t\t_diagnostics: AgentSessionRuntimeDiagnostic[] = [],\n\t\t_modelFallbackMessage?: string,\n\t) {\n\t\tthis._session = _session;\n\t\tthis._services = _services;\n\t\tthis.createRuntime = createRuntime;\n\t\tthis._diagnostics = _diagnostics;\n\t\tthis._modelFallbackMessage = _modelFallbackMessage;\n\t}\n\n\tget services(): AgentSessionServices {\n\t\treturn this._services;\n\t}\n\n\tget session(): AgentSession {\n\t\treturn this._session;\n\t}\n\n\tget cwd(): string {\n\t\treturn this._services.cwd;\n\t}\n\n\tget diagnostics(): readonly AgentSessionRuntimeDiagnostic[] {\n\t\treturn this._diagnostics;\n\t}\n\n\tget modelFallbackMessage(): string | undefined {\n\t\treturn this._modelFallbackMessage;\n\t}\n\n\tsetRebindSession(rebindSession?: (session: AgentSession) => Promise<void>): void {\n\t\tthis.rebindSession = rebindSession;\n\t}\n\n\t/**\n\t * Set a synchronous callback that runs after `session_shutdown` handlers finish\n\t * but before the current session is invalidated.\n\t *\n\t * This is for host-owned UI teardown that must not yield to the event loop,\n\t * such as detaching extension-provided TUI components before the old extension\n\t * context becomes stale.\n\t */\n\tsetBeforeSessionInvalidate(beforeSessionInvalidate?: () => void): void {\n\t\tthis.beforeSessionInvalidate = beforeSessionInvalidate;\n\t}\n\n\tprivate async emitBeforeSwitch(\n\t\treason: \"new\" | \"resume\",\n\t\ttargetSessionFile?: string,\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst runner = this.session.extensionRunner;\n\t\tif (!runner.hasHandlers(\"session_before_switch\")) {\n\t\t\treturn { cancelled: false };\n\t\t}\n\n\t\tconst result = await runner.emit({\n\t\t\ttype: \"session_before_switch\",\n\t\t\treason,\n\t\t\ttargetSessionFile,\n\t\t});\n\t\treturn { cancelled: result?.cancel === true };\n\t}\n\n\tprivate async emitBeforeFork(\n\t\tentryId: string,\n\t\toptions: { position: \"before\" | \"at\" },\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst runner = this.session.extensionRunner;\n\t\tif (!runner.hasHandlers(\"session_before_fork\")) {\n\t\t\treturn { cancelled: false };\n\t\t}\n\n\t\tconst result = await runner.emit({\n\t\t\ttype: \"session_before_fork\",\n\t\t\tentryId,\n\t\t\t...options,\n\t\t});\n\t\treturn { cancelled: result?.cancel === true };\n\t}\n\n\tprivate async teardownCurrent(reason: SessionShutdownEvent[\"reason\"], targetSessionFile?: string): Promise<void> {\n\t\tawait emitSessionShutdownEvent(this.session.extensionRunner, {\n\t\t\ttype: \"session_shutdown\",\n\t\t\treason,\n\t\t\ttargetSessionFile,\n\t\t});\n\t\tthis.beforeSessionInvalidate?.();\n\t\tthis.session.dispose();\n\t}\n\n\tprivate apply(result: CreateAgentSessionRuntimeResult): void {\n\t\tthis._session = result.session;\n\t\tthis._services = result.services;\n\t\tthis._diagnostics = result.diagnostics;\n\t\tthis._modelFallbackMessage = result.modelFallbackMessage;\n\t}\n\n\tprivate async finishSessionReplacement(withSession?: (ctx: ReplacedSessionContext) => Promise<void>): Promise<void> {\n\t\tif (this.rebindSession) {\n\t\t\tawait this.rebindSession(this.session);\n\t\t}\n\t\tif (withSession) {\n\t\t\tawait withSession(this.session.createReplacedSessionContext());\n\t\t}\n\t}\n\n\tasync switchSession(\n\t\tsessionPath: string,\n\t\toptions?: {\n\t\t\tcwdOverride?: string;\n\t\t\twithSession?: (ctx: ReplacedSessionContext) => Promise<void>;\n\t\t\tprojectTrustContextFactory?: (cwd: string) => ProjectTrustContext;\n\t\t},\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"resume\", sessionPath);\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tconst sessionManager = SessionManager.open(sessionPath, undefined, options?.cwdOverride);\n\t\tassertSessionCwdExists(sessionManager, this.cwd);\n\t\tawait this.teardownCurrent(\"resume\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"resume\", previousSessionFile },\n\t\t\t\tprojectTrustContext: options?.projectTrustContextFactory?.(sessionManager.getCwd()),\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false };\n\t}\n\n\tasync newSession(options?: {\n\t\tparentSession?: string;\n\t\tsetup?: (sessionManager: SessionManager) => Promise<void>;\n\t\twithSession?: (ctx: ReplacedSessionContext) => Promise<void>;\n\t}): Promise<{ cancelled: boolean }> {\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"new\");\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\tconst sessionManager = this.session.sessionManager.isPersisted()\n\t\t\t? SessionManager.create(this.cwd, sessionDir)\n\t\t\t: SessionManager.inMemory(this.cwd);\n\t\tif (options?.parentSession) {\n\t\t\tsessionManager.newSession({ parentSession: options.parentSession });\n\t\t}\n\n\t\tawait this.teardownCurrent(\"new\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: this.cwd,\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"new\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tif (options?.setup) {\n\t\t\tawait options.setup(this.session.sessionManager);\n\t\t\tthis.session.agent.state.messages = this.session.sessionManager.buildSessionContext().messages;\n\t\t}\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false };\n\t}\n\n\tasync fork(\n\t\tentryId: string,\n\t\toptions?: { position?: \"before\" | \"at\"; withSession?: (ctx: ReplacedSessionContext) => Promise<void> },\n\t): Promise<{ cancelled: boolean; selectedText?: string }> {\n\t\tconst position = options?.position ?? \"before\";\n\t\tconst beforeResult = await this.emitBeforeFork(entryId, { position });\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn { cancelled: true };\n\t\t}\n\t\tlet targetLeafId: string | null;\n\t\tlet selectedText: string | undefined;\n\n\t\tconst selectedEntry = this.session.sessionManager.getEntry(entryId);\n\t\tif (!selectedEntry) {\n\t\t\tthrow new Error(\"Invalid entry ID for forking\");\n\t\t}\n\n\t\tif (position === \"at\") {\n\t\t\ttargetLeafId = selectedEntry.id;\n\t\t} else {\n\t\t\tif (selectedEntry.type !== \"message\" || selectedEntry.message.role !== \"user\") {\n\t\t\t\tthrow new Error(\"Invalid entry ID for forking\");\n\t\t\t}\n\t\t\ttargetLeafId = selectedEntry.parentId;\n\t\t\tselectedText = extractUserMessageText(selectedEntry.message.content);\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tif (this.session.sessionManager.isPersisted()) {\n\t\t\tconst currentSessionFile = this.session.sessionFile;\n\t\t\tif (!currentSessionFile) {\n\t\t\t\tthrow new Error(\"Persisted session is missing a session file\");\n\t\t\t}\n\t\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\t\tif (!targetLeafId) {\n\t\t\t\tconst sessionManager = SessionManager.create(this.cwd, sessionDir);\n\t\t\t\tsessionManager.newSession({ parentSession: currentSessionFile });\n\t\t\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\t\t\tthis.apply(\n\t\t\t\t\tawait this.createRuntime({\n\t\t\t\t\t\tcwd: this.cwd,\n\t\t\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\t\t\tsessionManager,\n\t\t\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t\t\t}),\n\t\t\t\t);\n\t\t\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\t\t\treturn { cancelled: false, selectedText };\n\t\t\t}\n\n\t\t\tconst sessionManager = SessionManager.open(currentSessionFile, sessionDir);\n\t\t\tconst forkedSessionPath = sessionManager.createBranchedSession(targetLeafId);\n\t\t\tif (!forkedSessionPath) {\n\t\t\t\tthrow new Error(\"Failed to create forked session\");\n\t\t\t}\n\t\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\t\tthis.apply(\n\t\t\t\tawait this.createRuntime({\n\t\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\t\tsessionManager,\n\t\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t\t}),\n\t\t\t);\n\t\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\t\treturn { cancelled: false, selectedText };\n\t\t}\n\n\t\tconst sessionManager = this.session.sessionManager;\n\t\tif (!targetLeafId) {\n\t\t\tsessionManager.newSession({ parentSession: this.session.sessionFile });\n\t\t} else {\n\t\t\tsessionManager.createBranchedSession(targetLeafId);\n\t\t}\n\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: this.cwd,\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false, selectedText };\n\t}\n\n\t/**\n\t * Import a session JSONL file and switch runtime state to the imported session.\n\t *\n\t * @returns `{ cancelled: true }` when cancelled by `session_before_switch`, otherwise `{ cancelled: false }`.\n\t * @throws {SessionImportFileNotFoundError} When the input path does not exist.\n\t * @throws {MissingSessionCwdError} When the imported session cwd cannot be resolved and no override is provided.\n\t */\n\tasync importFromJsonl(inputPath: string, cwdOverride?: string): Promise<{ cancelled: boolean }> {\n\t\tconst resolvedPath = resolvePath(inputPath);\n\t\tif (!existsSync(resolvedPath)) {\n\t\t\tthrow new SessionImportFileNotFoundError(resolvedPath);\n\t\t}\n\n\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\tif (!existsSync(sessionDir)) {\n\t\t\tmkdirSync(sessionDir, { recursive: true });\n\t\t}\n\n\t\tconst destinationPath = join(sessionDir, basename(resolvedPath));\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"resume\", destinationPath);\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tif (resolve(destinationPath) !== resolvedPath) {\n\t\t\tcopyFileSync(resolvedPath, destinationPath);\n\t\t}\n\n\t\tconst sessionManager = SessionManager.open(destinationPath, sessionDir, cwdOverride);\n\t\tassertSessionCwdExists(sessionManager, this.cwd);\n\t\tawait this.teardownCurrent(\"resume\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"resume\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement();\n\t\treturn { cancelled: false };\n\t}\n\n\tasync dispose(): Promise<void> {\n\t\tawait emitSessionShutdownEvent(this.session.extensionRunner, {\n\t\t\ttype: \"session_shutdown\",\n\t\t\treason: \"quit\",\n\t\t});\n\t\tthis.beforeSessionInvalidate?.();\n\t\tthis.session.dispose();\n\t}\n}\n\n/**\n * Create the initial runtime from a runtime factory and initial session target.\n *\n * The same factory is stored on the returned AgentSessionRuntime and reused for\n * later /new, /resume, /fork, and import flows.\n */\nexport async function createAgentSessionRuntime(\n\tcreateRuntime: CreateAgentSessionRuntimeFactory,\n\toptions: {\n\t\tcwd: string;\n\t\tagentDir: string;\n\t\tsessionManager: SessionManager;\n\t\tsessionStartEvent?: SessionStartEvent;\n\t},\n): Promise<AgentSessionRuntime> {\n\tassertSessionCwdExists(options.sessionManager, options.cwd);\n\tconst result = await createRuntime(options);\n\treturn new AgentSessionRuntime(\n\t\tresult.session,\n\t\tresult.services,\n\t\tcreateRuntime,\n\t\tresult.diagnostics,\n\t\tresult.modelFallbackMessage,\n\t);\n}\n\nexport {\n\ttype AgentSessionRuntimeDiagnostic,\n\ttype AgentSessionServices,\n\ttype CreateAgentSessionFromServicesOptions,\n\ttype CreateAgentSessionServicesOptions,\n\tcreateAgentSessionFromServices,\n\tcreateAgentSessionServices,\n} from \"./agent-session-services.ts\";\n"]}
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{ copyFileSync, existsSync, mkdirSync } from \"node:fs\";\nimport { basename, join, resolve } from \"node:path\";\nimport { resolvePath } from \"../utils/paths.ts\";\nimport type { AgentSession } from \"./agent-session.ts\";\nimport type { AgentSessionRuntimeDiagnostic, AgentSessionServices } from \"./agent-session-services.ts\";\nimport type {\n\tProjectTrustContext,\n\tReplacedSessionContext,\n\tSessionShutdownEvent,\n\tSessionStartEvent,\n} from \"./extensions/index.ts\";\nimport { emitSessionShutdownEvent } from \"./extensions/runner.ts\";\nimport type { CreateAgentSessionResult } from \"./sdk.ts\";\nimport { assertSessionCwdExists } from \"./session-cwd.ts\";\nimport { SessionManager } from \"./session-manager.ts\";\n\n/**\n * Result returned by runtime creation.\n *\n * The caller gets the created session, its cwd-bound services, and all\n * diagnostics collected during setup.\n */\nexport interface CreateAgentSessionRuntimeResult extends CreateAgentSessionResult {\n\tservices: AgentSessionServices;\n\tdiagnostics: AgentSessionRuntimeDiagnostic[];\n}\n\n/**\n * Creates a full runtime for a target cwd and session manager.\n *\n * The factory closes over process-global fixed inputs, recreates cwd-bound\n * services for the effective cwd, resolves session options against those\n * services, and finally creates the AgentSession.\n */\nexport type CreateAgentSessionRuntimeFactory = (options: {\n\tcwd: string;\n\tagentDir: string;\n\tsessionManager: SessionManager;\n\tsessionStartEvent?: SessionStartEvent;\n\tprojectTrustContext?: ProjectTrustContext;\n}) => Promise<CreateAgentSessionRuntimeResult>;\n\n/**\n * Thrown when /import references a JSONL file path that does not exist.\n */\nexport class SessionImportFileNotFoundError extends Error {\n\treadonly filePath: string;\n\n\tconstructor(filePath: string) {\n\t\tsuper(`File not found: ${filePath}`);\n\t\tthis.name = \"SessionImportFileNotFoundError\";\n\t\tthis.filePath = filePath;\n\t}\n}\n\nfunction extractUserMessageText(content: string | Array<{ type: string; text?: string }>): string {\n\tif (typeof content === \"string\") {\n\t\treturn content;\n\t}\n\n\treturn content\n\t\t.filter((part): part is { type: \"text\"; text: string } => part.type === \"text\" && typeof part.text === \"string\")\n\t\t.map((part) => part.text)\n\t\t.join(\"\");\n}\n\n/**\n * Owns the current AgentSession plus its cwd-bound services.\n *\n * Session replacement methods tear down the current runtime first, then create\n * and apply the next runtime. If creation fails, the error is propagated to the\n * caller. The caller is responsible for user-facing error handling.\n */\nexport class AgentSessionRuntime {\n\tprivate rebindSession?: (session: AgentSession) => Promise<void>;\n\tprivate beforeSessionInvalidate?: () => void;\n\tprivate _session: AgentSession;\n\tprivate _services: AgentSessionServices;\n\tprivate readonly createRuntime: CreateAgentSessionRuntimeFactory;\n\tprivate _diagnostics: AgentSessionRuntimeDiagnostic[];\n\tprivate _modelFallbackMessage?: string;\n\n\tconstructor(\n\t\t_session: AgentSession,\n\t\t_services: AgentSessionServices,\n\t\tcreateRuntime: CreateAgentSessionRuntimeFactory,\n\t\t_diagnostics: AgentSessionRuntimeDiagnostic[] = [],\n\t\t_modelFallbackMessage?: string,\n\t) {\n\t\tthis._session = _session;\n\t\tthis._services = _services;\n\t\tthis.createRuntime = createRuntime;\n\t\tthis._diagnostics = _diagnostics;\n\t\tthis._modelFallbackMessage = _modelFallbackMessage;\n\t}\n\n\tget services(): AgentSessionServices {\n\t\treturn this._services;\n\t}\n\n\tget session(): AgentSession {\n\t\treturn this._session;\n\t}\n\n\tget cwd(): string {\n\t\treturn this._services.cwd;\n\t}\n\n\tget diagnostics(): readonly AgentSessionRuntimeDiagnostic[] {\n\t\treturn this._diagnostics;\n\t}\n\n\tget modelFallbackMessage(): string | undefined {\n\t\treturn this._modelFallbackMessage;\n\t}\n\n\tsetRebindSession(rebindSession?: (session: AgentSession) => Promise<void>): void {\n\t\tthis.rebindSession = rebindSession;\n\t}\n\n\t/**\n\t * Set a synchronous callback that runs after `session_shutdown` handlers finish\n\t * but before the current session is invalidated.\n\t *\n\t * This is for host-owned UI teardown that must not yield to the event loop,\n\t * such as detaching extension-provided TUI components before the old extension\n\t * context becomes stale.\n\t */\n\tsetBeforeSessionInvalidate(beforeSessionInvalidate?: () => void): void {\n\t\tthis.beforeSessionInvalidate = beforeSessionInvalidate;\n\t}\n\n\tprivate async emitBeforeSwitch(\n\t\treason: \"new\" | \"resume\",\n\t\ttargetSessionFile?: string,\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst runner = this.session.extensionRunner;\n\t\tif (!runner.hasHandlers(\"session_before_switch\")) {\n\t\t\treturn { cancelled: false };\n\t\t}\n\n\t\tconst result = await runner.emit({\n\t\t\ttype: \"session_before_switch\",\n\t\t\treason,\n\t\t\ttargetSessionFile,\n\t\t});\n\t\treturn { cancelled: result?.cancel === true };\n\t}\n\n\tprivate async emitBeforeFork(\n\t\tentryId: string,\n\t\toptions: { position: \"before\" | \"at\" },\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst runner = this.session.extensionRunner;\n\t\tif (!runner.hasHandlers(\"session_before_fork\")) {\n\t\t\treturn { cancelled: false };\n\t\t}\n\n\t\tconst result = await runner.emit({\n\t\t\ttype: \"session_before_fork\",\n\t\t\tentryId,\n\t\t\t...options,\n\t\t});\n\t\treturn { cancelled: result?.cancel === true };\n\t}\n\n\tprivate async teardownCurrent(reason: SessionShutdownEvent[\"reason\"], targetSessionFile?: string): Promise<void> {\n\t\tawait emitSessionShutdownEvent(this.session.extensionRunner, {\n\t\t\ttype: \"session_shutdown\",\n\t\t\treason,\n\t\t\ttargetSessionFile,\n\t\t});\n\t\tthis.beforeSessionInvalidate?.();\n\t\tthis.session.dispose();\n\t}\n\n\tprivate apply(result: CreateAgentSessionRuntimeResult): void {\n\t\tthis._session = result.session;\n\t\tthis._services = result.services;\n\t\tthis._diagnostics = result.diagnostics;\n\t\tthis._modelFallbackMessage = result.modelFallbackMessage;\n\t}\n\n\tprivate async finishSessionReplacement(withSession?: (ctx: ReplacedSessionContext) => Promise<void>): Promise<void> {\n\t\tif (this.rebindSession) {\n\t\t\tawait this.rebindSession(this.session);\n\t\t}\n\t\tif (withSession) {\n\t\t\tawait withSession(this.session.createReplacedSessionContext());\n\t\t}\n\t}\n\n\tasync switchSession(\n\t\tsessionPath: string,\n\t\toptions?: {\n\t\t\tcwdOverride?: string;\n\t\t\twithSession?: (ctx: ReplacedSessionContext) => Promise<void>;\n\t\t\tprojectTrustContextFactory?: (cwd: string) => ProjectTrustContext;\n\t\t},\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"resume\", sessionPath);\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tconst sessionManager = SessionManager.open(sessionPath, undefined, options?.cwdOverride);\n\t\tassertSessionCwdExists(sessionManager, this.cwd);\n\t\tawait this.teardownCurrent(\"resume\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"resume\", previousSessionFile },\n\t\t\t\tprojectTrustContext: options?.projectTrustContextFactory?.(sessionManager.getCwd()),\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false };\n\t}\n\n\tasync newSession(options?: {\n\t\tparentSession?: string;\n\t\tsetup?: (sessionManager: SessionManager) => Promise<void>;\n\t\twithSession?: (ctx: ReplacedSessionContext) => Promise<void>;\n\t}): Promise<{ cancelled: boolean }> {\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"new\");\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\tconst sessionManager = this.session.sessionManager.isPersisted()\n\t\t\t? SessionManager.create(this.cwd, sessionDir)\n\t\t\t: SessionManager.inMemory(this.cwd);\n\t\tif (options?.parentSession) {\n\t\t\tsessionManager.newSession({ parentSession: options.parentSession });\n\t\t}\n\n\t\tawait this.teardownCurrent(\"new\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: this.cwd,\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"new\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tif (options?.setup) {\n\t\t\tawait options.setup(this.session.sessionManager);\n\t\t\tthis.session.agent.state.messages = this.session.sessionManager.buildSessionContext().messages;\n\t\t}\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false };\n\t}\n\n\tasync fork(\n\t\tentryId: string,\n\t\toptions?: { position?: \"before\" | \"at\"; withSession?: (ctx: ReplacedSessionContext) => Promise<void> },\n\t): Promise<{ cancelled: boolean; selectedText?: string }> {\n\t\tconst position = options?.position ?? \"before\";\n\t\tconst beforeResult = await this.emitBeforeFork(entryId, { position });\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn { cancelled: true };\n\t\t}\n\t\tlet targetLeafId: string | null;\n\t\tlet selectedText: string | undefined;\n\n\t\tconst selectedEntry = this.session.sessionManager.getEntry(entryId);\n\t\tif (!selectedEntry) {\n\t\t\tthrow new Error(\"Invalid entry ID for forking\");\n\t\t}\n\n\t\tif (position === \"at\") {\n\t\t\ttargetLeafId = selectedEntry.id;\n\t\t} else {\n\t\t\tif (selectedEntry.type !== \"message\" || selectedEntry.message.role !== \"user\") {\n\t\t\t\tthrow new Error(\"Invalid entry ID for forking\");\n\t\t\t}\n\t\t\ttargetLeafId = selectedEntry.parentId;\n\t\t\tselectedText = extractUserMessageText(selectedEntry.message.content);\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tif (this.session.sessionManager.isPersisted()) {\n\t\t\tconst currentSessionFile = this.session.sessionFile;\n\t\t\tif (!currentSessionFile) {\n\t\t\t\tthrow new Error(\"Persisted session is missing a session file\");\n\t\t\t}\n\t\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\t\tif (!targetLeafId) {\n\t\t\t\tconst sessionManager = SessionManager.create(this.cwd, sessionDir);\n\t\t\t\tsessionManager.newSession({ parentSession: currentSessionFile });\n\t\t\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\t\t\tthis.apply(\n\t\t\t\t\tawait this.createRuntime({\n\t\t\t\t\t\tcwd: this.cwd,\n\t\t\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\t\t\tsessionManager,\n\t\t\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t\t\t}),\n\t\t\t\t);\n\t\t\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\t\t\treturn { cancelled: false, selectedText };\n\t\t\t}\n\n\t\t\tif (!existsSync(currentSessionFile)) {\n\t\t\t\tthrow new Error(\n\t\t\t\t\t\"This session has not been saved yet. Wait for the first assistant response before cloning or forking it.\",\n\t\t\t\t);\n\t\t\t}\n\t\t\tconst sessionManager = SessionManager.open(currentSessionFile, sessionDir);\n\t\t\tconst forkedSessionPath = sessionManager.createBranchedSession(targetLeafId);\n\t\t\tif (!forkedSessionPath) {\n\t\t\t\tthrow new Error(\"Failed to create forked session\");\n\t\t\t}\n\t\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\t\tthis.apply(\n\t\t\t\tawait this.createRuntime({\n\t\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\t\tsessionManager,\n\t\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t\t}),\n\t\t\t);\n\t\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\t\treturn { cancelled: false, selectedText };\n\t\t}\n\n\t\tconst sessionManager = this.session.sessionManager;\n\t\tif (!targetLeafId) {\n\t\t\tsessionManager.newSession({ parentSession: this.session.sessionFile });\n\t\t} else {\n\t\t\tsessionManager.createBranchedSession(targetLeafId);\n\t\t}\n\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: this.cwd,\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false, selectedText };\n\t}\n\n\t/**\n\t * Import a session JSONL file and switch runtime state to the imported session.\n\t *\n\t * @returns `{ cancelled: true }` when cancelled by `session_before_switch`, otherwise `{ cancelled: false }`.\n\t * @throws {SessionImportFileNotFoundError} When the input path does not exist.\n\t * @throws {MissingSessionCwdError} When the imported session cwd cannot be resolved and no override is provided.\n\t */\n\tasync importFromJsonl(inputPath: string, cwdOverride?: string): Promise<{ cancelled: boolean }> {\n\t\tconst resolvedPath = resolvePath(inputPath);\n\t\tif (!existsSync(resolvedPath)) {\n\t\t\tthrow new SessionImportFileNotFoundError(resolvedPath);\n\t\t}\n\n\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\tif (!existsSync(sessionDir)) {\n\t\t\tmkdirSync(sessionDir, { recursive: true });\n\t\t}\n\n\t\tconst destinationPath = join(sessionDir, basename(resolvedPath));\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"resume\", destinationPath);\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tif (resolve(destinationPath) !== resolvedPath) {\n\t\t\tcopyFileSync(resolvedPath, destinationPath);\n\t\t}\n\n\t\tconst sessionManager = SessionManager.open(destinationPath, sessionDir, cwdOverride);\n\t\tassertSessionCwdExists(sessionManager, this.cwd);\n\t\tawait this.teardownCurrent(\"resume\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"resume\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement();\n\t\treturn { cancelled: false };\n\t}\n\n\tasync dispose(): Promise<void> {\n\t\tawait emitSessionShutdownEvent(this.session.extensionRunner, {\n\t\t\ttype: \"session_shutdown\",\n\t\t\treason: \"quit\",\n\t\t});\n\t\tthis.beforeSessionInvalidate?.();\n\t\tthis.session.dispose();\n\t}\n}\n\n/**\n * Create the initial runtime from a runtime factory and initial session target.\n *\n * The same factory is stored on the returned AgentSessionRuntime and reused for\n * later /new, /resume, /fork, and import flows.\n */\nexport async function createAgentSessionRuntime(\n\tcreateRuntime: CreateAgentSessionRuntimeFactory,\n\toptions: {\n\t\tcwd: string;\n\t\tagentDir: string;\n\t\tsessionManager: SessionManager;\n\t\tsessionStartEvent?: SessionStartEvent;\n\t},\n): Promise<AgentSessionRuntime> {\n\tassertSessionCwdExists(options.sessionManager, options.cwd);\n\tconst result = await createRuntime(options);\n\treturn new AgentSessionRuntime(\n\t\tresult.session,\n\t\tresult.services,\n\t\tcreateRuntime,\n\t\tresult.diagnostics,\n\t\tresult.modelFallbackMessage,\n\t);\n}\n\nexport {\n\ttype AgentSessionRuntimeDiagnostic,\n\ttype AgentSessionServices,\n\ttype CreateAgentSessionFromServicesOptions,\n\ttype CreateAgentSessionServicesOptions,\n\tcreateAgentSessionFromServices,\n\tcreateAgentSessionServices,\n} from \"./agent-session-services.ts\";\n"]}

dist/core/agent-session-runtime.js

@@ -213,2 +213,5 @@ import { copyFileSync, existsSync, mkdirSync } from "node:fs";
             }
+            if (!existsSync(currentSessionFile)) {
+                throw new Error("This session has not been saved yet. Wait for the first assistant response before cloning or forking it.");
+            }
             const sessionManager = SessionManager.open(currentSessionFile, sessionDir);
@@ -215,0 +218,0 @@ const forkedSessionPath = sessionManager.createBranchedSession(targetLeafId);

dist/core/agent-session-runtime.js.map

@@ -1,1 +0,1 @@
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{ copyFileSync, existsSync, mkdirSync } from \"node:fs\";\nimport { basename, join, resolve } from \"node:path\";\nimport { resolvePath } from \"../utils/paths.ts\";\nimport type { AgentSession } from \"./agent-session.ts\";\nimport type { AgentSessionRuntimeDiagnostic, AgentSessionServices } from \"./agent-session-services.ts\";\nimport type {\n\tProjectTrustContext,\n\tReplacedSessionContext,\n\tSessionShutdownEvent,\n\tSessionStartEvent,\n} from \"./extensions/index.ts\";\nimport { emitSessionShutdownEvent } from \"./extensions/runner.ts\";\nimport type { CreateAgentSessionResult } from \"./sdk.ts\";\nimport { assertSessionCwdExists } from \"./session-cwd.ts\";\nimport { SessionManager } from \"./session-manager.ts\";\n\n/**\n * Result returned by runtime creation.\n *\n * The caller gets the created session, its cwd-bound services, and all\n * diagnostics collected during setup.\n */\nexport interface CreateAgentSessionRuntimeResult extends CreateAgentSessionResult {\n\tservices: AgentSessionServices;\n\tdiagnostics: AgentSessionRuntimeDiagnostic[];\n}\n\n/**\n * Creates a full runtime for a target cwd and session manager.\n *\n * The factory closes over process-global fixed inputs, recreates cwd-bound\n * services for the effective cwd, resolves session options against those\n * services, and finally creates the AgentSession.\n */\nexport type CreateAgentSessionRuntimeFactory = (options: {\n\tcwd: string;\n\tagentDir: string;\n\tsessionManager: SessionManager;\n\tsessionStartEvent?: SessionStartEvent;\n\tprojectTrustContext?: ProjectTrustContext;\n}) => Promise<CreateAgentSessionRuntimeResult>;\n\n/**\n * Thrown when /import references a JSONL file path that does not exist.\n */\nexport class SessionImportFileNotFoundError extends Error {\n\treadonly filePath: string;\n\n\tconstructor(filePath: string) {\n\t\tsuper(`File not found: ${filePath}`);\n\t\tthis.name = \"SessionImportFileNotFoundError\";\n\t\tthis.filePath = filePath;\n\t}\n}\n\nfunction extractUserMessageText(content: string | Array<{ type: string; text?: string }>): string {\n\tif (typeof content === \"string\") {\n\t\treturn content;\n\t}\n\n\treturn content\n\t\t.filter((part): part is { type: \"text\"; text: string } => part.type === \"text\" && typeof part.text === \"string\")\n\t\t.map((part) => part.text)\n\t\t.join(\"\");\n}\n\n/**\n * Owns the current AgentSession plus its cwd-bound services.\n *\n * Session replacement methods tear down the current runtime first, then create\n * and apply the next runtime. If creation fails, the error is propagated to the\n * caller. The caller is responsible for user-facing error handling.\n */\nexport class AgentSessionRuntime {\n\tprivate rebindSession?: (session: AgentSession) => Promise<void>;\n\tprivate beforeSessionInvalidate?: () => void;\n\tprivate _session: AgentSession;\n\tprivate _services: AgentSessionServices;\n\tprivate readonly createRuntime: CreateAgentSessionRuntimeFactory;\n\tprivate _diagnostics: AgentSessionRuntimeDiagnostic[];\n\tprivate _modelFallbackMessage?: string;\n\n\tconstructor(\n\t\t_session: AgentSession,\n\t\t_services: AgentSessionServices,\n\t\tcreateRuntime: CreateAgentSessionRuntimeFactory,\n\t\t_diagnostics: AgentSessionRuntimeDiagnostic[] = [],\n\t\t_modelFallbackMessage?: string,\n\t) {\n\t\tthis._session = _session;\n\t\tthis._services = _services;\n\t\tthis.createRuntime = createRuntime;\n\t\tthis._diagnostics = _diagnostics;\n\t\tthis._modelFallbackMessage = _modelFallbackMessage;\n\t}\n\n\tget services(): AgentSessionServices {\n\t\treturn this._services;\n\t}\n\n\tget session(): AgentSession {\n\t\treturn this._session;\n\t}\n\n\tget cwd(): string {\n\t\treturn this._services.cwd;\n\t}\n\n\tget diagnostics(): readonly AgentSessionRuntimeDiagnostic[] {\n\t\treturn this._diagnostics;\n\t}\n\n\tget modelFallbackMessage(): string | undefined {\n\t\treturn this._modelFallbackMessage;\n\t}\n\n\tsetRebindSession(rebindSession?: (session: AgentSession) => Promise<void>): void {\n\t\tthis.rebindSession = rebindSession;\n\t}\n\n\t/**\n\t * Set a synchronous callback that runs after `session_shutdown` handlers finish\n\t * but before the current session is invalidated.\n\t *\n\t * This is for host-owned UI teardown that must not yield to the event loop,\n\t * such as detaching extension-provided TUI components before the old extension\n\t * context becomes stale.\n\t */\n\tsetBeforeSessionInvalidate(beforeSessionInvalidate?: () => void): void {\n\t\tthis.beforeSessionInvalidate = beforeSessionInvalidate;\n\t}\n\n\tprivate async emitBeforeSwitch(\n\t\treason: \"new\" | \"resume\",\n\t\ttargetSessionFile?: string,\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst runner = this.session.extensionRunner;\n\t\tif (!runner.hasHandlers(\"session_before_switch\")) {\n\t\t\treturn { cancelled: false };\n\t\t}\n\n\t\tconst result = await runner.emit({\n\t\t\ttype: \"session_before_switch\",\n\t\t\treason,\n\t\t\ttargetSessionFile,\n\t\t});\n\t\treturn { cancelled: result?.cancel === true };\n\t}\n\n\tprivate async emitBeforeFork(\n\t\tentryId: string,\n\t\toptions: { position: \"before\" | \"at\" },\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst runner = this.session.extensionRunner;\n\t\tif (!runner.hasHandlers(\"session_before_fork\")) {\n\t\t\treturn { cancelled: false };\n\t\t}\n\n\t\tconst result = await runner.emit({\n\t\t\ttype: \"session_before_fork\",\n\t\t\tentryId,\n\t\t\t...options,\n\t\t});\n\t\treturn { cancelled: result?.cancel === true };\n\t}\n\n\tprivate async teardownCurrent(reason: SessionShutdownEvent[\"reason\"], targetSessionFile?: string): Promise<void> {\n\t\tawait emitSessionShutdownEvent(this.session.extensionRunner, {\n\t\t\ttype: \"session_shutdown\",\n\t\t\treason,\n\t\t\ttargetSessionFile,\n\t\t});\n\t\tthis.beforeSessionInvalidate?.();\n\t\tthis.session.dispose();\n\t}\n\n\tprivate apply(result: CreateAgentSessionRuntimeResult): void {\n\t\tthis._session = result.session;\n\t\tthis._services = result.services;\n\t\tthis._diagnostics = result.diagnostics;\n\t\tthis._modelFallbackMessage = result.modelFallbackMessage;\n\t}\n\n\tprivate async finishSessionReplacement(withSession?: (ctx: ReplacedSessionContext) => Promise<void>): Promise<void> {\n\t\tif (this.rebindSession) {\n\t\t\tawait this.rebindSession(this.session);\n\t\t}\n\t\tif (withSession) {\n\t\t\tawait withSession(this.session.createReplacedSessionContext());\n\t\t}\n\t}\n\n\tasync switchSession(\n\t\tsessionPath: string,\n\t\toptions?: {\n\t\t\tcwdOverride?: string;\n\t\t\twithSession?: (ctx: ReplacedSessionContext) => Promise<void>;\n\t\t\tprojectTrustContextFactory?: (cwd: string) => ProjectTrustContext;\n\t\t},\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"resume\", sessionPath);\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tconst sessionManager = SessionManager.open(sessionPath, undefined, options?.cwdOverride);\n\t\tassertSessionCwdExists(sessionManager, this.cwd);\n\t\tawait this.teardownCurrent(\"resume\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"resume\", previousSessionFile },\n\t\t\t\tprojectTrustContext: options?.projectTrustContextFactory?.(sessionManager.getCwd()),\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false };\n\t}\n\n\tasync newSession(options?: {\n\t\tparentSession?: string;\n\t\tsetup?: (sessionManager: SessionManager) => Promise<void>;\n\t\twithSession?: (ctx: ReplacedSessionContext) => Promise<void>;\n\t}): Promise<{ cancelled: boolean }> {\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"new\");\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\tconst sessionManager = this.session.sessionManager.isPersisted()\n\t\t\t? SessionManager.create(this.cwd, sessionDir)\n\t\t\t: SessionManager.inMemory(this.cwd);\n\t\tif (options?.parentSession) {\n\t\t\tsessionManager.newSession({ parentSession: options.parentSession });\n\t\t}\n\n\t\tawait this.teardownCurrent(\"new\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: this.cwd,\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"new\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tif (options?.setup) {\n\t\t\tawait options.setup(this.session.sessionManager);\n\t\t\tthis.session.agent.state.messages = this.session.sessionManager.buildSessionContext().messages;\n\t\t}\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false };\n\t}\n\n\tasync fork(\n\t\tentryId: string,\n\t\toptions?: { position?: \"before\" | \"at\"; withSession?: (ctx: ReplacedSessionContext) => Promise<void> },\n\t): Promise<{ cancelled: boolean; selectedText?: string }> {\n\t\tconst position = options?.position ?? \"before\";\n\t\tconst beforeResult = await this.emitBeforeFork(entryId, { position });\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn { cancelled: true };\n\t\t}\n\t\tlet targetLeafId: string | null;\n\t\tlet selectedText: string | undefined;\n\n\t\tconst selectedEntry = this.session.sessionManager.getEntry(entryId);\n\t\tif (!selectedEntry) {\n\t\t\tthrow new Error(\"Invalid entry ID for forking\");\n\t\t}\n\n\t\tif (position === \"at\") {\n\t\t\ttargetLeafId = selectedEntry.id;\n\t\t} else {\n\t\t\tif (selectedEntry.type !== \"message\" || selectedEntry.message.role !== \"user\") {\n\t\t\t\tthrow new Error(\"Invalid entry ID for forking\");\n\t\t\t}\n\t\t\ttargetLeafId = selectedEntry.parentId;\n\t\t\tselectedText = extractUserMessageText(selectedEntry.message.content);\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tif (this.session.sessionManager.isPersisted()) {\n\t\t\tconst currentSessionFile = this.session.sessionFile;\n\t\t\tif (!currentSessionFile) {\n\t\t\t\tthrow new Error(\"Persisted session is missing a session file\");\n\t\t\t}\n\t\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\t\tif (!targetLeafId) {\n\t\t\t\tconst sessionManager = SessionManager.create(this.cwd, sessionDir);\n\t\t\t\tsessionManager.newSession({ parentSession: currentSessionFile });\n\t\t\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\t\t\tthis.apply(\n\t\t\t\t\tawait this.createRuntime({\n\t\t\t\t\t\tcwd: this.cwd,\n\t\t\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\t\t\tsessionManager,\n\t\t\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t\t\t}),\n\t\t\t\t);\n\t\t\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\t\t\treturn { cancelled: false, selectedText };\n\t\t\t}\n\n\t\t\tconst sessionManager = SessionManager.open(currentSessionFile, sessionDir);\n\t\t\tconst forkedSessionPath = sessionManager.createBranchedSession(targetLeafId);\n\t\t\tif (!forkedSessionPath) {\n\t\t\t\tthrow new Error(\"Failed to create forked session\");\n\t\t\t}\n\t\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\t\tthis.apply(\n\t\t\t\tawait this.createRuntime({\n\t\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\t\tsessionManager,\n\t\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t\t}),\n\t\t\t);\n\t\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\t\treturn { cancelled: false, selectedText };\n\t\t}\n\n\t\tconst sessionManager = this.session.sessionManager;\n\t\tif (!targetLeafId) {\n\t\t\tsessionManager.newSession({ parentSession: this.session.sessionFile });\n\t\t} else {\n\t\t\tsessionManager.createBranchedSession(targetLeafId);\n\t\t}\n\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: this.cwd,\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false, selectedText };\n\t}\n\n\t/**\n\t * Import a session JSONL file and switch runtime state to the imported session.\n\t *\n\t * @returns `{ cancelled: true }` when cancelled by `session_before_switch`, otherwise `{ cancelled: false }`.\n\t * @throws {SessionImportFileNotFoundError} When the input path does not exist.\n\t * @throws {MissingSessionCwdError} When the imported session cwd cannot be resolved and no override is provided.\n\t */\n\tasync importFromJsonl(inputPath: string, cwdOverride?: string): Promise<{ cancelled: boolean }> {\n\t\tconst resolvedPath = resolvePath(inputPath);\n\t\tif (!existsSync(resolvedPath)) {\n\t\t\tthrow new SessionImportFileNotFoundError(resolvedPath);\n\t\t}\n\n\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\tif (!existsSync(sessionDir)) {\n\t\t\tmkdirSync(sessionDir, { recursive: true });\n\t\t}\n\n\t\tconst destinationPath = join(sessionDir, basename(resolvedPath));\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"resume\", destinationPath);\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tif (resolve(destinationPath) !== resolvedPath) {\n\t\t\tcopyFileSync(resolvedPath, destinationPath);\n\t\t}\n\n\t\tconst sessionManager = SessionManager.open(destinationPath, sessionDir, cwdOverride);\n\t\tassertSessionCwdExists(sessionManager, this.cwd);\n\t\tawait this.teardownCurrent(\"resume\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"resume\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement();\n\t\treturn { cancelled: false };\n\t}\n\n\tasync dispose(): Promise<void> {\n\t\tawait emitSessionShutdownEvent(this.session.extensionRunner, {\n\t\t\ttype: \"session_shutdown\",\n\t\t\treason: \"quit\",\n\t\t});\n\t\tthis.beforeSessionInvalidate?.();\n\t\tthis.session.dispose();\n\t}\n}\n\n/**\n * Create the initial runtime from a runtime factory and initial session target.\n *\n * The same factory is stored on the returned AgentSessionRuntime and reused for\n * later /new, /resume, /fork, and import flows.\n */\nexport async function createAgentSessionRuntime(\n\tcreateRuntime: CreateAgentSessionRuntimeFactory,\n\toptions: {\n\t\tcwd: string;\n\t\tagentDir: string;\n\t\tsessionManager: SessionManager;\n\t\tsessionStartEvent?: SessionStartEvent;\n\t},\n): Promise<AgentSessionRuntime> {\n\tassertSessionCwdExists(options.sessionManager, options.cwd);\n\tconst result = await createRuntime(options);\n\treturn new AgentSessionRuntime(\n\t\tresult.session,\n\t\tresult.services,\n\t\tcreateRuntime,\n\t\tresult.diagnostics,\n\t\tresult.modelFallbackMessage,\n\t);\n}\n\nexport {\n\ttype AgentSessionRuntimeDiagnostic,\n\ttype AgentSessionServices,\n\ttype CreateAgentSessionFromServicesOptions,\n\ttype CreateAgentSessionServicesOptions,\n\tcreateAgentSessionFromServices,\n\tcreateAgentSessionServices,\n} from \"./agent-session-services.ts\";\n"]}
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{ copyFileSync, existsSync, mkdirSync } from \"node:fs\";\nimport { basename, join, resolve } from \"node:path\";\nimport { resolvePath } from \"../utils/paths.ts\";\nimport type { AgentSession } from \"./agent-session.ts\";\nimport type { AgentSessionRuntimeDiagnostic, AgentSessionServices } from \"./agent-session-services.ts\";\nimport type {\n\tProjectTrustContext,\n\tReplacedSessionContext,\n\tSessionShutdownEvent,\n\tSessionStartEvent,\n} from \"./extensions/index.ts\";\nimport { emitSessionShutdownEvent } from \"./extensions/runner.ts\";\nimport type { CreateAgentSessionResult } from \"./sdk.ts\";\nimport { assertSessionCwdExists } from \"./session-cwd.ts\";\nimport { SessionManager } from \"./session-manager.ts\";\n\n/**\n * Result returned by runtime creation.\n *\n * The caller gets the created session, its cwd-bound services, and all\n * diagnostics collected during setup.\n */\nexport interface CreateAgentSessionRuntimeResult extends CreateAgentSessionResult {\n\tservices: AgentSessionServices;\n\tdiagnostics: AgentSessionRuntimeDiagnostic[];\n}\n\n/**\n * Creates a full runtime for a target cwd and session manager.\n *\n * The factory closes over process-global fixed inputs, recreates cwd-bound\n * services for the effective cwd, resolves session options against those\n * services, and finally creates the AgentSession.\n */\nexport type CreateAgentSessionRuntimeFactory = (options: {\n\tcwd: string;\n\tagentDir: string;\n\tsessionManager: SessionManager;\n\tsessionStartEvent?: SessionStartEvent;\n\tprojectTrustContext?: ProjectTrustContext;\n}) => Promise<CreateAgentSessionRuntimeResult>;\n\n/**\n * Thrown when /import references a JSONL file path that does not exist.\n */\nexport class SessionImportFileNotFoundError extends Error {\n\treadonly filePath: string;\n\n\tconstructor(filePath: string) {\n\t\tsuper(`File not found: ${filePath}`);\n\t\tthis.name = \"SessionImportFileNotFoundError\";\n\t\tthis.filePath = filePath;\n\t}\n}\n\nfunction extractUserMessageText(content: string | Array<{ type: string; text?: string }>): string {\n\tif (typeof content === \"string\") {\n\t\treturn content;\n\t}\n\n\treturn content\n\t\t.filter((part): part is { type: \"text\"; text: string } => part.type === \"text\" && typeof part.text === \"string\")\n\t\t.map((part) => part.text)\n\t\t.join(\"\");\n}\n\n/**\n * Owns the current AgentSession plus its cwd-bound services.\n *\n * Session replacement methods tear down the current runtime first, then create\n * and apply the next runtime. If creation fails, the error is propagated to the\n * caller. The caller is responsible for user-facing error handling.\n */\nexport class AgentSessionRuntime {\n\tprivate rebindSession?: (session: AgentSession) => Promise<void>;\n\tprivate beforeSessionInvalidate?: () => void;\n\tprivate _session: AgentSession;\n\tprivate _services: AgentSessionServices;\n\tprivate readonly createRuntime: CreateAgentSessionRuntimeFactory;\n\tprivate _diagnostics: AgentSessionRuntimeDiagnostic[];\n\tprivate _modelFallbackMessage?: string;\n\n\tconstructor(\n\t\t_session: AgentSession,\n\t\t_services: AgentSessionServices,\n\t\tcreateRuntime: CreateAgentSessionRuntimeFactory,\n\t\t_diagnostics: AgentSessionRuntimeDiagnostic[] = [],\n\t\t_modelFallbackMessage?: string,\n\t) {\n\t\tthis._session = _session;\n\t\tthis._services = _services;\n\t\tthis.createRuntime = createRuntime;\n\t\tthis._diagnostics = _diagnostics;\n\t\tthis._modelFallbackMessage = _modelFallbackMessage;\n\t}\n\n\tget services(): AgentSessionServices {\n\t\treturn this._services;\n\t}\n\n\tget session(): AgentSession {\n\t\treturn this._session;\n\t}\n\n\tget cwd(): string {\n\t\treturn this._services.cwd;\n\t}\n\n\tget diagnostics(): readonly AgentSessionRuntimeDiagnostic[] {\n\t\treturn this._diagnostics;\n\t}\n\n\tget modelFallbackMessage(): string | undefined {\n\t\treturn this._modelFallbackMessage;\n\t}\n\n\tsetRebindSession(rebindSession?: (session: AgentSession) => Promise<void>): void {\n\t\tthis.rebindSession = rebindSession;\n\t}\n\n\t/**\n\t * Set a synchronous callback that runs after `session_shutdown` handlers finish\n\t * but before the current session is invalidated.\n\t *\n\t * This is for host-owned UI teardown that must not yield to the event loop,\n\t * such as detaching extension-provided TUI components before the old extension\n\t * context becomes stale.\n\t */\n\tsetBeforeSessionInvalidate(beforeSessionInvalidate?: () => void): void {\n\t\tthis.beforeSessionInvalidate = beforeSessionInvalidate;\n\t}\n\n\tprivate async emitBeforeSwitch(\n\t\treason: \"new\" | \"resume\",\n\t\ttargetSessionFile?: string,\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst runner = this.session.extensionRunner;\n\t\tif (!runner.hasHandlers(\"session_before_switch\")) {\n\t\t\treturn { cancelled: false };\n\t\t}\n\n\t\tconst result = await runner.emit({\n\t\t\ttype: \"session_before_switch\",\n\t\t\treason,\n\t\t\ttargetSessionFile,\n\t\t});\n\t\treturn { cancelled: result?.cancel === true };\n\t}\n\n\tprivate async emitBeforeFork(\n\t\tentryId: string,\n\t\toptions: { position: \"before\" | \"at\" },\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst runner = this.session.extensionRunner;\n\t\tif (!runner.hasHandlers(\"session_before_fork\")) {\n\t\t\treturn { cancelled: false };\n\t\t}\n\n\t\tconst result = await runner.emit({\n\t\t\ttype: \"session_before_fork\",\n\t\t\tentryId,\n\t\t\t...options,\n\t\t});\n\t\treturn { cancelled: result?.cancel === true };\n\t}\n\n\tprivate async teardownCurrent(reason: SessionShutdownEvent[\"reason\"], targetSessionFile?: string): Promise<void> {\n\t\tawait emitSessionShutdownEvent(this.session.extensionRunner, {\n\t\t\ttype: \"session_shutdown\",\n\t\t\treason,\n\t\t\ttargetSessionFile,\n\t\t});\n\t\tthis.beforeSessionInvalidate?.();\n\t\tthis.session.dispose();\n\t}\n\n\tprivate apply(result: CreateAgentSessionRuntimeResult): void {\n\t\tthis._session = result.session;\n\t\tthis._services = result.services;\n\t\tthis._diagnostics = result.diagnostics;\n\t\tthis._modelFallbackMessage = result.modelFallbackMessage;\n\t}\n\n\tprivate async finishSessionReplacement(withSession?: (ctx: ReplacedSessionContext) => Promise<void>): Promise<void> {\n\t\tif (this.rebindSession) {\n\t\t\tawait this.rebindSession(this.session);\n\t\t}\n\t\tif (withSession) {\n\t\t\tawait withSession(this.session.createReplacedSessionContext());\n\t\t}\n\t}\n\n\tasync switchSession(\n\t\tsessionPath: string,\n\t\toptions?: {\n\t\t\tcwdOverride?: string;\n\t\t\twithSession?: (ctx: ReplacedSessionContext) => Promise<void>;\n\t\t\tprojectTrustContextFactory?: (cwd: string) => ProjectTrustContext;\n\t\t},\n\t): Promise<{ cancelled: boolean }> {\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"resume\", sessionPath);\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tconst sessionManager = SessionManager.open(sessionPath, undefined, options?.cwdOverride);\n\t\tassertSessionCwdExists(sessionManager, this.cwd);\n\t\tawait this.teardownCurrent(\"resume\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"resume\", previousSessionFile },\n\t\t\t\tprojectTrustContext: options?.projectTrustContextFactory?.(sessionManager.getCwd()),\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false };\n\t}\n\n\tasync newSession(options?: {\n\t\tparentSession?: string;\n\t\tsetup?: (sessionManager: SessionManager) => Promise<void>;\n\t\twithSession?: (ctx: ReplacedSessionContext) => Promise<void>;\n\t}): Promise<{ cancelled: boolean }> {\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"new\");\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\tconst sessionManager = this.session.sessionManager.isPersisted()\n\t\t\t? SessionManager.create(this.cwd, sessionDir)\n\t\t\t: SessionManager.inMemory(this.cwd);\n\t\tif (options?.parentSession) {\n\t\t\tsessionManager.newSession({ parentSession: options.parentSession });\n\t\t}\n\n\t\tawait this.teardownCurrent(\"new\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: this.cwd,\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"new\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tif (options?.setup) {\n\t\t\tawait options.setup(this.session.sessionManager);\n\t\t\tthis.session.agent.state.messages = this.session.sessionManager.buildSessionContext().messages;\n\t\t}\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false };\n\t}\n\n\tasync fork(\n\t\tentryId: string,\n\t\toptions?: { position?: \"before\" | \"at\"; withSession?: (ctx: ReplacedSessionContext) => Promise<void> },\n\t): Promise<{ cancelled: boolean; selectedText?: string }> {\n\t\tconst position = options?.position ?? \"before\";\n\t\tconst beforeResult = await this.emitBeforeFork(entryId, { position });\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn { cancelled: true };\n\t\t}\n\t\tlet targetLeafId: string | null;\n\t\tlet selectedText: string | undefined;\n\n\t\tconst selectedEntry = this.session.sessionManager.getEntry(entryId);\n\t\tif (!selectedEntry) {\n\t\t\tthrow new Error(\"Invalid entry ID for forking\");\n\t\t}\n\n\t\tif (position === \"at\") {\n\t\t\ttargetLeafId = selectedEntry.id;\n\t\t} else {\n\t\t\tif (selectedEntry.type !== \"message\" || selectedEntry.message.role !== \"user\") {\n\t\t\t\tthrow new Error(\"Invalid entry ID for forking\");\n\t\t\t}\n\t\t\ttargetLeafId = selectedEntry.parentId;\n\t\t\tselectedText = extractUserMessageText(selectedEntry.message.content);\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tif (this.session.sessionManager.isPersisted()) {\n\t\t\tconst currentSessionFile = this.session.sessionFile;\n\t\t\tif (!currentSessionFile) {\n\t\t\t\tthrow new Error(\"Persisted session is missing a session file\");\n\t\t\t}\n\t\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\t\tif (!targetLeafId) {\n\t\t\t\tconst sessionManager = SessionManager.create(this.cwd, sessionDir);\n\t\t\t\tsessionManager.newSession({ parentSession: currentSessionFile });\n\t\t\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\t\t\tthis.apply(\n\t\t\t\t\tawait this.createRuntime({\n\t\t\t\t\t\tcwd: this.cwd,\n\t\t\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\t\t\tsessionManager,\n\t\t\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t\t\t}),\n\t\t\t\t);\n\t\t\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\t\t\treturn { cancelled: false, selectedText };\n\t\t\t}\n\n\t\t\tif (!existsSync(currentSessionFile)) {\n\t\t\t\tthrow new Error(\n\t\t\t\t\t\"This session has not been saved yet. Wait for the first assistant response before cloning or forking it.\",\n\t\t\t\t);\n\t\t\t}\n\t\t\tconst sessionManager = SessionManager.open(currentSessionFile, sessionDir);\n\t\t\tconst forkedSessionPath = sessionManager.createBranchedSession(targetLeafId);\n\t\t\tif (!forkedSessionPath) {\n\t\t\t\tthrow new Error(\"Failed to create forked session\");\n\t\t\t}\n\t\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\t\tthis.apply(\n\t\t\t\tawait this.createRuntime({\n\t\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\t\tsessionManager,\n\t\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t\t}),\n\t\t\t);\n\t\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\t\treturn { cancelled: false, selectedText };\n\t\t}\n\n\t\tconst sessionManager = this.session.sessionManager;\n\t\tif (!targetLeafId) {\n\t\t\tsessionManager.newSession({ parentSession: this.session.sessionFile });\n\t\t} else {\n\t\t\tsessionManager.createBranchedSession(targetLeafId);\n\t\t}\n\t\tawait this.teardownCurrent(\"fork\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: this.cwd,\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"fork\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement(options?.withSession);\n\t\treturn { cancelled: false, selectedText };\n\t}\n\n\t/**\n\t * Import a session JSONL file and switch runtime state to the imported session.\n\t *\n\t * @returns `{ cancelled: true }` when cancelled by `session_before_switch`, otherwise `{ cancelled: false }`.\n\t * @throws {SessionImportFileNotFoundError} When the input path does not exist.\n\t * @throws {MissingSessionCwdError} When the imported session cwd cannot be resolved and no override is provided.\n\t */\n\tasync importFromJsonl(inputPath: string, cwdOverride?: string): Promise<{ cancelled: boolean }> {\n\t\tconst resolvedPath = resolvePath(inputPath);\n\t\tif (!existsSync(resolvedPath)) {\n\t\t\tthrow new SessionImportFileNotFoundError(resolvedPath);\n\t\t}\n\n\t\tconst sessionDir = this.session.sessionManager.getSessionDir();\n\t\tif (!existsSync(sessionDir)) {\n\t\t\tmkdirSync(sessionDir, { recursive: true });\n\t\t}\n\n\t\tconst destinationPath = join(sessionDir, basename(resolvedPath));\n\t\tconst beforeResult = await this.emitBeforeSwitch(\"resume\", destinationPath);\n\t\tif (beforeResult.cancelled) {\n\t\t\treturn beforeResult;\n\t\t}\n\n\t\tconst previousSessionFile = this.session.sessionFile;\n\t\tif (resolve(destinationPath) !== resolvedPath) {\n\t\t\tcopyFileSync(resolvedPath, destinationPath);\n\t\t}\n\n\t\tconst sessionManager = SessionManager.open(destinationPath, sessionDir, cwdOverride);\n\t\tassertSessionCwdExists(sessionManager, this.cwd);\n\t\tawait this.teardownCurrent(\"resume\", sessionManager.getSessionFile());\n\t\tthis.apply(\n\t\t\tawait this.createRuntime({\n\t\t\t\tcwd: sessionManager.getCwd(),\n\t\t\t\tagentDir: this.services.agentDir,\n\t\t\t\tsessionManager,\n\t\t\t\tsessionStartEvent: { type: \"session_start\", reason: \"resume\", previousSessionFile },\n\t\t\t}),\n\t\t);\n\t\tawait this.finishSessionReplacement();\n\t\treturn { cancelled: false };\n\t}\n\n\tasync dispose(): Promise<void> {\n\t\tawait emitSessionShutdownEvent(this.session.extensionRunner, {\n\t\t\ttype: \"session_shutdown\",\n\t\t\treason: \"quit\",\n\t\t});\n\t\tthis.beforeSessionInvalidate?.();\n\t\tthis.session.dispose();\n\t}\n}\n\n/**\n * Create the initial runtime from a runtime factory and initial session target.\n *\n * The same factory is stored on the returned AgentSessionRuntime and reused for\n * later /new, /resume, /fork, and import flows.\n */\nexport async function createAgentSessionRuntime(\n\tcreateRuntime: CreateAgentSessionRuntimeFactory,\n\toptions: {\n\t\tcwd: string;\n\t\tagentDir: string;\n\t\tsessionManager: SessionManager;\n\t\tsessionStartEvent?: SessionStartEvent;\n\t},\n): Promise<AgentSessionRuntime> {\n\tassertSessionCwdExists(options.sessionManager, options.cwd);\n\tconst result = await createRuntime(options);\n\treturn new AgentSessionRuntime(\n\t\tresult.session,\n\t\tresult.services,\n\t\tcreateRuntime,\n\t\tresult.diagnostics,\n\t\tresult.modelFallbackMessage,\n\t);\n}\n\nexport {\n\ttype AgentSessionRuntimeDiagnostic,\n\ttype AgentSessionServices,\n\ttype CreateAgentSessionFromServicesOptions,\n\ttype CreateAgentSessionServicesOptions,\n\tcreateAgentSessionFromServices,\n\tcreateAgentSessionServices,\n} from \"./agent-session-services.ts\";\n"]}

dist/core/model-config.d.ts

@@ -91,2 +91,3 @@ /** Immutable, credential-blind models.json snapshot. */
         sendSessionAffinityHeaders: Type.TOptional<Type.TBoolean>;
+        deferredToolsMode: Type.TOptional<Type.TLiteral<"kimi">>;
         sessionAffinityFormat: Type.TOptional<Type.TUnion<[Type.TLiteral<"openai">, Type.TLiteral<"openai-nosession">, Type.TLiteral<"openrouter">]>>;
@@ -193,2 +194,3 @@ supportsLongCacheRetention: Type.TOptional<Type.TBoolean>;
         sendSessionAffinityHeaders: Type.TOptional<Type.TBoolean>;
+        deferredToolsMode: Type.TOptional<Type.TLiteral<"kimi">>;
         sessionAffinityFormat: Type.TOptional<Type.TUnion<[Type.TLiteral<"openai">, Type.TLiteral<"openai-nosession">, Type.TLiteral<"openrouter">]>>;
@@ -273,2 +275,3 @@ supportsLongCacheRetention: Type.TOptional<Type.TBoolean>;
         sendSessionAffinityHeaders: Type.TOptional<Type.TBoolean>;
+        deferredToolsMode: Type.TOptional<Type.TLiteral<"kimi">>;
         sessionAffinityFormat: Type.TOptional<Type.TUnion<[Type.TLiteral<"openai">, Type.TLiteral<"openai-nosession">, Type.TLiteral<"openrouter">]>>;
@@ -378,2 +381,3 @@ supportsLongCacheRetention: Type.TOptional<Type.TBoolean>;
             sendSessionAffinityHeaders: Type.TOptional<Type.TBoolean>;
+            deferredToolsMode: Type.TOptional<Type.TLiteral<"kimi">>;
             sessionAffinityFormat: Type.TOptional<Type.TUnion<[Type.TLiteral<"openai">, Type.TLiteral<"openai-nosession">, Type.TLiteral<"openrouter">]>>;
@@ -480,2 +484,3 @@ supportsLongCacheRetention: Type.TOptional<Type.TBoolean>;
             sendSessionAffinityHeaders: Type.TOptional<Type.TBoolean>;
+            deferredToolsMode: Type.TOptional<Type.TLiteral<"kimi">>;
             sessionAffinityFormat: Type.TOptional<Type.TUnion<[Type.TLiteral<"openai">, Type.TLiteral<"openai-nosession">, Type.TLiteral<"openrouter">]>>;
@@ -482,0 +487,0 @@ supportsLongCacheRetention: Type.TOptional<Type.TBoolean>;

dist/core/model-config.d.ts.map

@@ -1,1 +0,1 @@
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Immutable, credential-blind models.json snapshot. */\n\nimport { readFile } from \"node:fs/promises\";\nimport { type Static, Type } from \"typebox\";\nimport { Compile } from \"typebox/compile\";\nimport type { TLocalizedValidationError } from \"typebox/error\";\nimport { stripJsonComments } from \"../utils/json.ts\";\nimport { normalizePath } from \"../utils/paths.ts\";\n\nconst PercentileCutoffsSchema = Type.Object({\n\tp50: Type.Optional(Type.Number()),\n\tp75: Type.Optional(Type.Number()),\n\tp90: Type.Optional(Type.Number()),\n\tp99: Type.Optional(Type.Number()),\n});\n\nconst OpenRouterRoutingSchema = Type.Object({\n\tallow_fallbacks: Type.Optional(Type.Boolean()),\n\trequire_parameters: Type.Optional(Type.Boolean()),\n\tdata_collection: Type.Optional(Type.Union([Type.Literal(\"deny\"), Type.Literal(\"allow\")])),\n\tzdr: Type.Optional(Type.Boolean()),\n\tenforce_distillable_text: Type.Optional(Type.Boolean()),\n\torder: Type.Optional(Type.Array(Type.String())),\n\tonly: Type.Optional(Type.Array(Type.String())),\n\tignore: Type.Optional(Type.Array(Type.String())),\n\tquantizations: Type.Optional(Type.Array(Type.String())),\n\tsort: Type.Optional(\n\t\tType.Union([\n\t\t\tType.String(),\n\t\t\tType.Object({\n\t\t\t\tby: Type.Optional(Type.String()),\n\t\t\t\tpartition: Type.Optional(Type.Union([Type.String(), Type.Null()])),\n\t\t\t}),\n\t\t]),\n\t),\n\tmax_price: Type.Optional(\n\t\tType.Object({\n\t\t\tprompt: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\tcompletion: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\timage: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\taudio: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\trequest: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t}),\n\t),\n\tpreferred_min_throughput: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\n\tpreferred_max_latency: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\n});\n\nconst VercelGatewayRoutingSchema = Type.Object({\n\tonly: Type.Optional(Type.Array(Type.String())),\n\torder: Type.Optional(Type.Array(Type.String())),\n});\n\nconst ThinkingLevelMapValueSchema = Type.Union([Type.String(), Type.Null()]);\nconst ThinkingLevelMapSchema = Type.Object({\n\toff: Type.Optional(ThinkingLevelMapValueSchema),\n\tminimal: Type.Optional(ThinkingLevelMapValueSchema),\n\tlow: Type.Optional(ThinkingLevelMapValueSchema),\n\tmedium: Type.Optional(ThinkingLevelMapValueSchema),\n\thigh: Type.Optional(ThinkingLevelMapValueSchema),\n\txhigh: Type.Optional(ThinkingLevelMapValueSchema),\n\tmax: Type.Optional(ThinkingLevelMapValueSchema),\n});\n\nconst ChatTemplateKwargScalarSchema = Type.Union([Type.String(), Type.Number(), Type.Boolean(), Type.Null()]);\nconst ChatTemplateKwargVariableSchema = Type.Object({\n\t$var: Type.Union([Type.Literal(\"thinking.enabled\"), Type.Literal(\"thinking.effort\")]),\n\tomitWhenOff: Type.Optional(Type.Boolean()),\n});\nconst ChatTemplateKwargSchema = Type.Union([ChatTemplateKwargScalarSchema, ChatTemplateKwargVariableSchema]);\n\nconst OpenAICompletionsCompatSchema = Type.Object({\n\tsupportsStore: Type.Optional(Type.Boolean()),\n\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\n\tsupportsReasoningEffort: Type.Optional(Type.Boolean()),\n\tsupportsUsageInStreaming: Type.Optional(Type.Boolean()),\n\tmaxTokensField: Type.Optional(Type.Union([Type.Literal(\"max_completion_tokens\"), Type.Literal(\"max_tokens\")])),\n\trequiresToolResultName: Type.Optional(Type.Boolean()),\n\trequiresAssistantAfterToolResult: Type.Optional(Type.Boolean()),\n\trequiresThinkingAsText: Type.Optional(Type.Boolean()),\n\trequiresReasoningContentOnAssistantMessages: Type.Optional(Type.Boolean()),\n\tthinkingFormat: Type.Optional(\n\t\tType.Union([\n\t\t\tType.Literal(\"openai\"),\n\t\t\tType.Literal(\"openrouter\"),\n\t\t\tType.Literal(\"together\"),\n\t\t\tType.Literal(\"deepseek\"),\n\t\t\tType.Literal(\"zai\"),\n\t\t\tType.Literal(\"qwen\"),\n\t\t\tType.Literal(\"chat-template\"),\n\t\t\tType.Literal(\"qwen-chat-template\"),\n\t\t\tType.Literal(\"string-thinking\"),\n\t\t\tType.Literal(\"ant-ling\"),\n\t\t]),\n\t),\n\tchatTemplateKwargs: Type.Optional(Type.Record(Type.String(), ChatTemplateKwargSchema)),\n\tcacheControlFormat: Type.Optional(Type.Literal(\"anthropic\")),\n\topenRouterRouting: Type.Optional(OpenRouterRoutingSchema),\n\tvercelGatewayRouting: Type.Optional(VercelGatewayRoutingSchema),\n\tsupportsStrictMode: Type.Optional(Type.Boolean()),\n\tsendSessionAffinityHeaders: Type.Optional(Type.Boolean()),\n\tsessionAffinityFormat: Type.Optional(\n\t\tType.Union([Type.Literal(\"openai\"), Type.Literal(\"openai-nosession\"), Type.Literal(\"openrouter\")]),\n\t),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n});\n\nconst OpenAIResponsesCompatSchema = Type.Object({\n\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\n\tsessionAffinityFormat: Type.Optional(\n\t\tType.Union([Type.Literal(\"openai\"), Type.Literal(\"openai-nosession\"), Type.Literal(\"openrouter\")]),\n\t),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n\tsupportsToolSearch: Type.Optional(Type.Boolean()),\n});\n\nconst AnthropicMessagesCompatSchema = Type.Object({\n\tsupportsEagerToolInputStreaming: Type.Optional(Type.Boolean()),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n\tsendSessionAffinityHeaders: Type.Optional(Type.Boolean()),\n\tsupportsCacheControlOnTools: Type.Optional(Type.Boolean()),\n\tforceAdaptiveThinking: Type.Optional(Type.Boolean()),\n\tsupportsToolReferences: Type.Optional(Type.Boolean()),\n});\n\nconst ProviderCompatSchema = Type.Union([\n\tOpenAICompletionsCompatSchema,\n\tOpenAIResponsesCompatSchema,\n\tAnthropicMessagesCompatSchema,\n]);\n\nconst ModelCostRatesSchema = {\n\tinput: Type.Number(),\n\toutput: Type.Number(),\n\tcacheRead: Type.Number(),\n\tcacheWrite: Type.Number(),\n};\nconst ModelCostTierSchema = Type.Object({\n\tinputTokensAbove: Type.Number(),\n\t...ModelCostRatesSchema,\n});\nconst ModelCostSchema = Type.Object({\n\t...ModelCostRatesSchema,\n\ttiers: Type.Optional(Type.Array(ModelCostTierSchema)),\n});\n\nconst ModelDefinitionSchema = Type.Object({\n\tid: Type.String({ minLength: 1 }),\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\tapi: Type.Optional(Type.String({ minLength: 1 })),\n\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\n\treasoning: Type.Optional(Type.Boolean()),\n\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\n\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\"text\"), Type.Literal(\"image\")]))),\n\tcost: Type.Optional(ModelCostSchema),\n\tcontextWindow: Type.Optional(Type.Number()),\n\tmaxTokens: Type.Optional(Type.Number()),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n});\n\nconst ModelOverrideSchema = Type.Object({\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\treasoning: Type.Optional(Type.Boolean()),\n\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\n\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\"text\"), Type.Literal(\"image\")]))),\n\tcost: Type.Optional(\n\t\tType.Object({\n\t\t\tinput: Type.Optional(Type.Number()),\n\t\t\toutput: Type.Optional(Type.Number()),\n\t\t\tcacheRead: Type.Optional(Type.Number()),\n\t\t\tcacheWrite: Type.Optional(Type.Number()),\n\t\t\ttiers: Type.Optional(Type.Array(ModelCostTierSchema)),\n\t\t}),\n\t),\n\tcontextWindow: Type.Optional(Type.Number()),\n\tmaxTokens: Type.Optional(Type.Number()),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n});\n\nconst ProviderConfigSchema = Type.Object({\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\n\tapiKey: Type.Optional(Type.String({ minLength: 1 })),\n\tapi: Type.Optional(Type.String({ minLength: 1 })),\n\toauth: Type.Optional(Type.Literal(\"radius\")),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n\tauthHeader: Type.Optional(Type.Boolean()),\n\tmodels: Type.Optional(Type.Array(ModelDefinitionSchema)),\n\tmodelOverrides: Type.Optional(Type.Record(Type.String(), ModelOverrideSchema)),\n});\n\nconst ModelsConfigSchema = Type.Object({\n\tproviders: Type.Record(Type.String(), ProviderConfigSchema),\n});\nconst validateModelsConfig = Compile(ModelsConfigSchema);\n\nexport type ModelsJsonModel = Static<typeof ModelDefinitionSchema>;\nexport type ModelsJsonModelOverride = Static<typeof ModelOverrideSchema>;\nexport type ModelsJsonProvider = Static<typeof ProviderConfigSchema>;\ntype ModelsJson = Static<typeof ModelsConfigSchema>;\n\nfunction formatValidationPath(error: TLocalizedValidationError): string {\n\tif (error.keyword === \"required\") {\n\t\tconst requiredProperties = (error.params as { requiredProperties?: string[] }).requiredProperties;\n\t\tconst requiredProperty = requiredProperties?.[0];\n\t\tif (requiredProperty) {\n\t\t\tconst basePath = error.instancePath.replace(/^\\//, \"\").replace(/\\//g, \".\");\n\t\t\treturn basePath ? `${basePath}.${requiredProperty}` : requiredProperty;\n\t\t}\n\t}\n\tconst path = error.instancePath.replace(/^\\//, \"\").replace(/\\//g, \".\");\n\treturn path || \"root\";\n}\n\nfunction deepFreeze<T>(value: T): T {\n\tif (typeof value !== \"object\" || value === null || Object.isFrozen(value)) return value;\n\tfor (const child of Object.values(value)) deepFreeze(child);\n\treturn Object.freeze(value);\n}\n\n/** One immutable load of models.json. */\nexport class ModelConfig {\n\tprivate readonly providers: ReadonlyMap<string, ModelsJsonProvider>;\n\tprivate readonly error: string | undefined;\n\n\tprivate constructor(providers: ReadonlyMap<string, ModelsJsonProvider>, error?: string) {\n\t\tthis.providers = providers;\n\t\tthis.error = error;\n\t}\n\n\tstatic async load(modelsJsonPath: string | undefined): Promise<ModelConfig> {\n\t\tif (!modelsJsonPath) return new ModelConfig(new Map());\n\t\tconst path = normalizePath(modelsJsonPath);\n\t\tlet content: string;\n\t\ttry {\n\t\t\tcontent = await readFile(path, \"utf-8\");\n\t\t} catch (error) {\n\t\t\tif ((error as NodeJS.ErrnoException).code === \"ENOENT\") return new ModelConfig(new Map());\n\t\t\treturn new ModelConfig(\n\t\t\t\tnew Map(),\n\t\t\t\t`Failed to load models.json: ${error instanceof Error ? error.message : error}\\n\\nFile: ${path}`,\n\t\t\t);\n\t\t}\n\n\t\tlet parsed: unknown;\n\t\ttry {\n\t\t\tparsed = JSON.parse(stripJsonComments(content));\n\t\t} catch (error) {\n\t\t\treturn new ModelConfig(\n\t\t\t\tnew Map(),\n\t\t\t\t`Failed to parse models.json: ${error instanceof Error ? error.message : error}\\n\\nFile: ${path}`,\n\t\t\t);\n\t\t}\n\n\t\tif (!validateModelsConfig.Check(parsed)) {\n\t\t\tconst errors =\n\t\t\t\tvalidateModelsConfig\n\t\t\t\t\t.Errors(parsed)\n\t\t\t\t\t.map((error) => `  - ${formatValidationPath(error)}: ${error.message}`)\n\t\t\t\t\t.join(\"\\n\") || \"Unknown schema error\";\n\t\t\treturn new ModelConfig(new Map(), `Invalid models.json schema:\\n${errors}\\n\\nFile: ${path}`);\n\t\t}\n\n\t\tconst config = parsed as ModelsJson;\n\t\tconst providers = new Map<string, ModelsJsonProvider>();\n\t\tfor (const [providerId, provider] of Object.entries(config.providers)) {\n\t\t\tproviders.set(providerId, deepFreeze(structuredClone(provider)));\n\t\t}\n\t\treturn new ModelConfig(providers);\n\t}\n\n\tgetProvider(providerId: string): ModelsJsonProvider | undefined {\n\t\treturn this.providers.get(providerId);\n\t}\n\n\tgetProviderIds(): readonly string[] {\n\t\treturn [...this.providers.keys()];\n\t}\n\n\tgetError(): string | undefined {\n\t\treturn this.error;\n\t}\n}\n"]}
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Immutable, credential-blind models.json snapshot. */\n\nimport { readFile } from \"node:fs/promises\";\nimport { type Static, Type } from \"typebox\";\nimport { Compile } from \"typebox/compile\";\nimport type { TLocalizedValidationError } from \"typebox/error\";\nimport { stripJsonComments } from \"../utils/json.ts\";\nimport { normalizePath } from \"../utils/paths.ts\";\n\nconst PercentileCutoffsSchema = Type.Object({\n\tp50: Type.Optional(Type.Number()),\n\tp75: Type.Optional(Type.Number()),\n\tp90: Type.Optional(Type.Number()),\n\tp99: Type.Optional(Type.Number()),\n});\n\nconst OpenRouterRoutingSchema = Type.Object({\n\tallow_fallbacks: Type.Optional(Type.Boolean()),\n\trequire_parameters: Type.Optional(Type.Boolean()),\n\tdata_collection: Type.Optional(Type.Union([Type.Literal(\"deny\"), Type.Literal(\"allow\")])),\n\tzdr: Type.Optional(Type.Boolean()),\n\tenforce_distillable_text: Type.Optional(Type.Boolean()),\n\torder: Type.Optional(Type.Array(Type.String())),\n\tonly: Type.Optional(Type.Array(Type.String())),\n\tignore: Type.Optional(Type.Array(Type.String())),\n\tquantizations: Type.Optional(Type.Array(Type.String())),\n\tsort: Type.Optional(\n\t\tType.Union([\n\t\t\tType.String(),\n\t\t\tType.Object({\n\t\t\t\tby: Type.Optional(Type.String()),\n\t\t\t\tpartition: Type.Optional(Type.Union([Type.String(), Type.Null()])),\n\t\t\t}),\n\t\t]),\n\t),\n\tmax_price: Type.Optional(\n\t\tType.Object({\n\t\t\tprompt: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\tcompletion: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\timage: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\taudio: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\trequest: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t}),\n\t),\n\tpreferred_min_throughput: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\n\tpreferred_max_latency: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\n});\n\nconst VercelGatewayRoutingSchema = Type.Object({\n\tonly: Type.Optional(Type.Array(Type.String())),\n\torder: Type.Optional(Type.Array(Type.String())),\n});\n\nconst ThinkingLevelMapValueSchema = Type.Union([Type.String(), Type.Null()]);\nconst ThinkingLevelMapSchema = Type.Object({\n\toff: Type.Optional(ThinkingLevelMapValueSchema),\n\tminimal: Type.Optional(ThinkingLevelMapValueSchema),\n\tlow: Type.Optional(ThinkingLevelMapValueSchema),\n\tmedium: Type.Optional(ThinkingLevelMapValueSchema),\n\thigh: Type.Optional(ThinkingLevelMapValueSchema),\n\txhigh: Type.Optional(ThinkingLevelMapValueSchema),\n\tmax: Type.Optional(ThinkingLevelMapValueSchema),\n});\n\nconst ChatTemplateKwargScalarSchema = Type.Union([Type.String(), Type.Number(), Type.Boolean(), Type.Null()]);\nconst ChatTemplateKwargVariableSchema = Type.Object({\n\t$var: Type.Union([Type.Literal(\"thinking.enabled\"), Type.Literal(\"thinking.effort\")]),\n\tomitWhenOff: Type.Optional(Type.Boolean()),\n});\nconst ChatTemplateKwargSchema = Type.Union([ChatTemplateKwargScalarSchema, ChatTemplateKwargVariableSchema]);\n\nconst OpenAICompletionsCompatSchema = Type.Object({\n\tsupportsStore: Type.Optional(Type.Boolean()),\n\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\n\tsupportsReasoningEffort: Type.Optional(Type.Boolean()),\n\tsupportsUsageInStreaming: Type.Optional(Type.Boolean()),\n\tmaxTokensField: Type.Optional(Type.Union([Type.Literal(\"max_completion_tokens\"), Type.Literal(\"max_tokens\")])),\n\trequiresToolResultName: Type.Optional(Type.Boolean()),\n\trequiresAssistantAfterToolResult: Type.Optional(Type.Boolean()),\n\trequiresThinkingAsText: Type.Optional(Type.Boolean()),\n\trequiresReasoningContentOnAssistantMessages: Type.Optional(Type.Boolean()),\n\tthinkingFormat: Type.Optional(\n\t\tType.Union([\n\t\t\tType.Literal(\"openai\"),\n\t\t\tType.Literal(\"openrouter\"),\n\t\t\tType.Literal(\"together\"),\n\t\t\tType.Literal(\"deepseek\"),\n\t\t\tType.Literal(\"zai\"),\n\t\t\tType.Literal(\"qwen\"),\n\t\t\tType.Literal(\"chat-template\"),\n\t\t\tType.Literal(\"qwen-chat-template\"),\n\t\t\tType.Literal(\"string-thinking\"),\n\t\t\tType.Literal(\"ant-ling\"),\n\t\t]),\n\t),\n\tchatTemplateKwargs: Type.Optional(Type.Record(Type.String(), ChatTemplateKwargSchema)),\n\tcacheControlFormat: Type.Optional(Type.Literal(\"anthropic\")),\n\topenRouterRouting: Type.Optional(OpenRouterRoutingSchema),\n\tvercelGatewayRouting: Type.Optional(VercelGatewayRoutingSchema),\n\tsupportsStrictMode: Type.Optional(Type.Boolean()),\n\tsendSessionAffinityHeaders: Type.Optional(Type.Boolean()),\n\tdeferredToolsMode: Type.Optional(Type.Literal(\"kimi\")),\n\tsessionAffinityFormat: Type.Optional(\n\t\tType.Union([Type.Literal(\"openai\"), Type.Literal(\"openai-nosession\"), Type.Literal(\"openrouter\")]),\n\t),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n});\n\nconst OpenAIResponsesCompatSchema = Type.Object({\n\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\n\tsessionAffinityFormat: Type.Optional(\n\t\tType.Union([Type.Literal(\"openai\"), Type.Literal(\"openai-nosession\"), Type.Literal(\"openrouter\")]),\n\t),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n\tsupportsToolSearch: Type.Optional(Type.Boolean()),\n});\n\nconst AnthropicMessagesCompatSchema = Type.Object({\n\tsupportsEagerToolInputStreaming: Type.Optional(Type.Boolean()),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n\tsendSessionAffinityHeaders: Type.Optional(Type.Boolean()),\n\tsupportsCacheControlOnTools: Type.Optional(Type.Boolean()),\n\tforceAdaptiveThinking: Type.Optional(Type.Boolean()),\n\tsupportsToolReferences: Type.Optional(Type.Boolean()),\n});\n\nconst ProviderCompatSchema = Type.Union([\n\tOpenAICompletionsCompatSchema,\n\tOpenAIResponsesCompatSchema,\n\tAnthropicMessagesCompatSchema,\n]);\n\nconst ModelCostRatesSchema = {\n\tinput: Type.Number(),\n\toutput: Type.Number(),\n\tcacheRead: Type.Number(),\n\tcacheWrite: Type.Number(),\n};\nconst ModelCostTierSchema = Type.Object({\n\tinputTokensAbove: Type.Number(),\n\t...ModelCostRatesSchema,\n});\nconst ModelCostSchema = Type.Object({\n\t...ModelCostRatesSchema,\n\ttiers: Type.Optional(Type.Array(ModelCostTierSchema)),\n});\n\nconst ModelDefinitionSchema = Type.Object({\n\tid: Type.String({ minLength: 1 }),\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\tapi: Type.Optional(Type.String({ minLength: 1 })),\n\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\n\treasoning: Type.Optional(Type.Boolean()),\n\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\n\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\"text\"), Type.Literal(\"image\")]))),\n\tcost: Type.Optional(ModelCostSchema),\n\tcontextWindow: Type.Optional(Type.Number()),\n\tmaxTokens: Type.Optional(Type.Number()),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n});\n\nconst ModelOverrideSchema = Type.Object({\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\treasoning: Type.Optional(Type.Boolean()),\n\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\n\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\"text\"), Type.Literal(\"image\")]))),\n\tcost: Type.Optional(\n\t\tType.Object({\n\t\t\tinput: Type.Optional(Type.Number()),\n\t\t\toutput: Type.Optional(Type.Number()),\n\t\t\tcacheRead: Type.Optional(Type.Number()),\n\t\t\tcacheWrite: Type.Optional(Type.Number()),\n\t\t\ttiers: Type.Optional(Type.Array(ModelCostTierSchema)),\n\t\t}),\n\t),\n\tcontextWindow: Type.Optional(Type.Number()),\n\tmaxTokens: Type.Optional(Type.Number()),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n});\n\nconst ProviderConfigSchema = Type.Object({\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\n\tapiKey: Type.Optional(Type.String({ minLength: 1 })),\n\tapi: Type.Optional(Type.String({ minLength: 1 })),\n\toauth: Type.Optional(Type.Literal(\"radius\")),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n\tauthHeader: Type.Optional(Type.Boolean()),\n\tmodels: Type.Optional(Type.Array(ModelDefinitionSchema)),\n\tmodelOverrides: Type.Optional(Type.Record(Type.String(), ModelOverrideSchema)),\n});\n\nconst ModelsConfigSchema = Type.Object({\n\tproviders: Type.Record(Type.String(), ProviderConfigSchema),\n});\nconst validateModelsConfig = Compile(ModelsConfigSchema);\n\nexport type ModelsJsonModel = Static<typeof ModelDefinitionSchema>;\nexport type ModelsJsonModelOverride = Static<typeof ModelOverrideSchema>;\nexport type ModelsJsonProvider = Static<typeof ProviderConfigSchema>;\ntype ModelsJson = Static<typeof ModelsConfigSchema>;\n\nfunction formatValidationPath(error: TLocalizedValidationError): string {\n\tif (error.keyword === \"required\") {\n\t\tconst requiredProperties = (error.params as { requiredProperties?: string[] }).requiredProperties;\n\t\tconst requiredProperty = requiredProperties?.[0];\n\t\tif (requiredProperty) {\n\t\t\tconst basePath = error.instancePath.replace(/^\\//, \"\").replace(/\\//g, \".\");\n\t\t\treturn basePath ? `${basePath}.${requiredProperty}` : requiredProperty;\n\t\t}\n\t}\n\tconst path = error.instancePath.replace(/^\\//, \"\").replace(/\\//g, \".\");\n\treturn path || \"root\";\n}\n\nfunction deepFreeze<T>(value: T): T {\n\tif (typeof value !== \"object\" || value === null || Object.isFrozen(value)) return value;\n\tfor (const child of Object.values(value)) deepFreeze(child);\n\treturn Object.freeze(value);\n}\n\n/** One immutable load of models.json. */\nexport class ModelConfig {\n\tprivate readonly providers: ReadonlyMap<string, ModelsJsonProvider>;\n\tprivate readonly error: string | undefined;\n\n\tprivate constructor(providers: ReadonlyMap<string, ModelsJsonProvider>, error?: string) {\n\t\tthis.providers = providers;\n\t\tthis.error = error;\n\t}\n\n\tstatic async load(modelsJsonPath: string | undefined): Promise<ModelConfig> {\n\t\tif (!modelsJsonPath) return new ModelConfig(new Map());\n\t\tconst path = normalizePath(modelsJsonPath);\n\t\tlet content: string;\n\t\ttry {\n\t\t\tcontent = await readFile(path, \"utf-8\");\n\t\t} catch (error) {\n\t\t\tif ((error as NodeJS.ErrnoException).code === \"ENOENT\") return new ModelConfig(new Map());\n\t\t\treturn new ModelConfig(\n\t\t\t\tnew Map(),\n\t\t\t\t`Failed to load models.json: ${error instanceof Error ? error.message : error}\\n\\nFile: ${path}`,\n\t\t\t);\n\t\t}\n\n\t\tlet parsed: unknown;\n\t\ttry {\n\t\t\tparsed = JSON.parse(stripJsonComments(content));\n\t\t} catch (error) {\n\t\t\treturn new ModelConfig(\n\t\t\t\tnew Map(),\n\t\t\t\t`Failed to parse models.json: ${error instanceof Error ? error.message : error}\\n\\nFile: ${path}`,\n\t\t\t);\n\t\t}\n\n\t\tif (!validateModelsConfig.Check(parsed)) {\n\t\t\tconst errors =\n\t\t\t\tvalidateModelsConfig\n\t\t\t\t\t.Errors(parsed)\n\t\t\t\t\t.map((error) => `  - ${formatValidationPath(error)}: ${error.message}`)\n\t\t\t\t\t.join(\"\\n\") || \"Unknown schema error\";\n\t\t\treturn new ModelConfig(new Map(), `Invalid models.json schema:\\n${errors}\\n\\nFile: ${path}`);\n\t\t}\n\n\t\tconst config = parsed as ModelsJson;\n\t\tconst providers = new Map<string, ModelsJsonProvider>();\n\t\tfor (const [providerId, provider] of Object.entries(config.providers)) {\n\t\t\tproviders.set(providerId, deepFreeze(structuredClone(provider)));\n\t\t}\n\t\treturn new ModelConfig(providers);\n\t}\n\n\tgetProvider(providerId: string): ModelsJsonProvider | undefined {\n\t\treturn this.providers.get(providerId);\n\t}\n\n\tgetProviderIds(): readonly string[] {\n\t\treturn [...this.providers.keys()];\n\t}\n\n\tgetError(): string | undefined {\n\t\treturn this.error;\n\t}\n}\n"]}

dist/core/model-config.js

@@ -88,2 +88,3 @@ /** Immutable, credential-blind models.json snapshot. */
     sendSessionAffinityHeaders: Type.Optional(Type.Boolean()),
+    deferredToolsMode: Type.Optional(Type.Literal("kimi")),
     sessionAffinityFormat: Type.Optional(Type.Union([Type.Literal("openai"), Type.Literal("openai-nosession"), Type.Literal("openrouter")])),
@@ -90,0 +91,0 @@ supportsLongCacheRetention: Type.Optional(Type.Boolean()),

dist/core/model-config.js.map

@@ -1,1 +0,1 @@
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Immutable, credential-blind models.json snapshot. */\n\nimport { readFile } from \"node:fs/promises\";\nimport { type Static, Type } from \"typebox\";\nimport { Compile } from \"typebox/compile\";\nimport type { TLocalizedValidationError } from \"typebox/error\";\nimport { stripJsonComments } from \"../utils/json.ts\";\nimport { normalizePath } from \"../utils/paths.ts\";\n\nconst PercentileCutoffsSchema = Type.Object({\n\tp50: Type.Optional(Type.Number()),\n\tp75: Type.Optional(Type.Number()),\n\tp90: Type.Optional(Type.Number()),\n\tp99: Type.Optional(Type.Number()),\n});\n\nconst OpenRouterRoutingSchema = Type.Object({\n\tallow_fallbacks: Type.Optional(Type.Boolean()),\n\trequire_parameters: Type.Optional(Type.Boolean()),\n\tdata_collection: Type.Optional(Type.Union([Type.Literal(\"deny\"), Type.Literal(\"allow\")])),\n\tzdr: Type.Optional(Type.Boolean()),\n\tenforce_distillable_text: Type.Optional(Type.Boolean()),\n\torder: Type.Optional(Type.Array(Type.String())),\n\tonly: Type.Optional(Type.Array(Type.String())),\n\tignore: Type.Optional(Type.Array(Type.String())),\n\tquantizations: Type.Optional(Type.Array(Type.String())),\n\tsort: Type.Optional(\n\t\tType.Union([\n\t\t\tType.String(),\n\t\t\tType.Object({\n\t\t\t\tby: Type.Optional(Type.String()),\n\t\t\t\tpartition: Type.Optional(Type.Union([Type.String(), Type.Null()])),\n\t\t\t}),\n\t\t]),\n\t),\n\tmax_price: Type.Optional(\n\t\tType.Object({\n\t\t\tprompt: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\tcompletion: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\timage: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\taudio: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\trequest: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t}),\n\t),\n\tpreferred_min_throughput: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\n\tpreferred_max_latency: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\n});\n\nconst VercelGatewayRoutingSchema = Type.Object({\n\tonly: Type.Optional(Type.Array(Type.String())),\n\torder: Type.Optional(Type.Array(Type.String())),\n});\n\nconst ThinkingLevelMapValueSchema = Type.Union([Type.String(), Type.Null()]);\nconst ThinkingLevelMapSchema = Type.Object({\n\toff: Type.Optional(ThinkingLevelMapValueSchema),\n\tminimal: Type.Optional(ThinkingLevelMapValueSchema),\n\tlow: Type.Optional(ThinkingLevelMapValueSchema),\n\tmedium: Type.Optional(ThinkingLevelMapValueSchema),\n\thigh: Type.Optional(ThinkingLevelMapValueSchema),\n\txhigh: Type.Optional(ThinkingLevelMapValueSchema),\n\tmax: Type.Optional(ThinkingLevelMapValueSchema),\n});\n\nconst ChatTemplateKwargScalarSchema = Type.Union([Type.String(), Type.Number(), Type.Boolean(), Type.Null()]);\nconst ChatTemplateKwargVariableSchema = Type.Object({\n\t$var: Type.Union([Type.Literal(\"thinking.enabled\"), Type.Literal(\"thinking.effort\")]),\n\tomitWhenOff: Type.Optional(Type.Boolean()),\n});\nconst ChatTemplateKwargSchema = Type.Union([ChatTemplateKwargScalarSchema, ChatTemplateKwargVariableSchema]);\n\nconst OpenAICompletionsCompatSchema = Type.Object({\n\tsupportsStore: Type.Optional(Type.Boolean()),\n\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\n\tsupportsReasoningEffort: Type.Optional(Type.Boolean()),\n\tsupportsUsageInStreaming: Type.Optional(Type.Boolean()),\n\tmaxTokensField: Type.Optional(Type.Union([Type.Literal(\"max_completion_tokens\"), Type.Literal(\"max_tokens\")])),\n\trequiresToolResultName: Type.Optional(Type.Boolean()),\n\trequiresAssistantAfterToolResult: Type.Optional(Type.Boolean()),\n\trequiresThinkingAsText: Type.Optional(Type.Boolean()),\n\trequiresReasoningContentOnAssistantMessages: Type.Optional(Type.Boolean()),\n\tthinkingFormat: Type.Optional(\n\t\tType.Union([\n\t\t\tType.Literal(\"openai\"),\n\t\t\tType.Literal(\"openrouter\"),\n\t\t\tType.Literal(\"together\"),\n\t\t\tType.Literal(\"deepseek\"),\n\t\t\tType.Literal(\"zai\"),\n\t\t\tType.Literal(\"qwen\"),\n\t\t\tType.Literal(\"chat-template\"),\n\t\t\tType.Literal(\"qwen-chat-template\"),\n\t\t\tType.Literal(\"string-thinking\"),\n\t\t\tType.Literal(\"ant-ling\"),\n\t\t]),\n\t),\n\tchatTemplateKwargs: Type.Optional(Type.Record(Type.String(), ChatTemplateKwargSchema)),\n\tcacheControlFormat: Type.Optional(Type.Literal(\"anthropic\")),\n\topenRouterRouting: Type.Optional(OpenRouterRoutingSchema),\n\tvercelGatewayRouting: Type.Optional(VercelGatewayRoutingSchema),\n\tsupportsStrictMode: Type.Optional(Type.Boolean()),\n\tsendSessionAffinityHeaders: Type.Optional(Type.Boolean()),\n\tsessionAffinityFormat: Type.Optional(\n\t\tType.Union([Type.Literal(\"openai\"), Type.Literal(\"openai-nosession\"), Type.Literal(\"openrouter\")]),\n\t),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n});\n\nconst OpenAIResponsesCompatSchema = Type.Object({\n\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\n\tsessionAffinityFormat: Type.Optional(\n\t\tType.Union([Type.Literal(\"openai\"), Type.Literal(\"openai-nosession\"), Type.Literal(\"openrouter\")]),\n\t),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n\tsupportsToolSearch: Type.Optional(Type.Boolean()),\n});\n\nconst AnthropicMessagesCompatSchema = Type.Object({\n\tsupportsEagerToolInputStreaming: Type.Optional(Type.Boolean()),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n\tsendSessionAffinityHeaders: Type.Optional(Type.Boolean()),\n\tsupportsCacheControlOnTools: Type.Optional(Type.Boolean()),\n\tforceAdaptiveThinking: Type.Optional(Type.Boolean()),\n\tsupportsToolReferences: Type.Optional(Type.Boolean()),\n});\n\nconst ProviderCompatSchema = Type.Union([\n\tOpenAICompletionsCompatSchema,\n\tOpenAIResponsesCompatSchema,\n\tAnthropicMessagesCompatSchema,\n]);\n\nconst ModelCostRatesSchema = {\n\tinput: Type.Number(),\n\toutput: Type.Number(),\n\tcacheRead: Type.Number(),\n\tcacheWrite: Type.Number(),\n};\nconst ModelCostTierSchema = Type.Object({\n\tinputTokensAbove: Type.Number(),\n\t...ModelCostRatesSchema,\n});\nconst ModelCostSchema = Type.Object({\n\t...ModelCostRatesSchema,\n\ttiers: Type.Optional(Type.Array(ModelCostTierSchema)),\n});\n\nconst ModelDefinitionSchema = Type.Object({\n\tid: Type.String({ minLength: 1 }),\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\tapi: Type.Optional(Type.String({ minLength: 1 })),\n\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\n\treasoning: Type.Optional(Type.Boolean()),\n\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\n\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\"text\"), Type.Literal(\"image\")]))),\n\tcost: Type.Optional(ModelCostSchema),\n\tcontextWindow: Type.Optional(Type.Number()),\n\tmaxTokens: Type.Optional(Type.Number()),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n});\n\nconst ModelOverrideSchema = Type.Object({\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\treasoning: Type.Optional(Type.Boolean()),\n\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\n\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\"text\"), Type.Literal(\"image\")]))),\n\tcost: Type.Optional(\n\t\tType.Object({\n\t\t\tinput: Type.Optional(Type.Number()),\n\t\t\toutput: Type.Optional(Type.Number()),\n\t\t\tcacheRead: Type.Optional(Type.Number()),\n\t\t\tcacheWrite: Type.Optional(Type.Number()),\n\t\t\ttiers: Type.Optional(Type.Array(ModelCostTierSchema)),\n\t\t}),\n\t),\n\tcontextWindow: Type.Optional(Type.Number()),\n\tmaxTokens: Type.Optional(Type.Number()),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n});\n\nconst ProviderConfigSchema = Type.Object({\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\n\tapiKey: Type.Optional(Type.String({ minLength: 1 })),\n\tapi: Type.Optional(Type.String({ minLength: 1 })),\n\toauth: Type.Optional(Type.Literal(\"radius\")),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n\tauthHeader: Type.Optional(Type.Boolean()),\n\tmodels: Type.Optional(Type.Array(ModelDefinitionSchema)),\n\tmodelOverrides: Type.Optional(Type.Record(Type.String(), ModelOverrideSchema)),\n});\n\nconst ModelsConfigSchema = Type.Object({\n\tproviders: Type.Record(Type.String(), ProviderConfigSchema),\n});\nconst validateModelsConfig = Compile(ModelsConfigSchema);\n\nexport type ModelsJsonModel = Static<typeof ModelDefinitionSchema>;\nexport type ModelsJsonModelOverride = Static<typeof ModelOverrideSchema>;\nexport type ModelsJsonProvider = Static<typeof ProviderConfigSchema>;\ntype ModelsJson = Static<typeof ModelsConfigSchema>;\n\nfunction formatValidationPath(error: TLocalizedValidationError): string {\n\tif (error.keyword === \"required\") {\n\t\tconst requiredProperties = (error.params as { requiredProperties?: string[] }).requiredProperties;\n\t\tconst requiredProperty = requiredProperties?.[0];\n\t\tif (requiredProperty) {\n\t\t\tconst basePath = error.instancePath.replace(/^\\//, \"\").replace(/\\//g, \".\");\n\t\t\treturn basePath ? `${basePath}.${requiredProperty}` : requiredProperty;\n\t\t}\n\t}\n\tconst path = error.instancePath.replace(/^\\//, \"\").replace(/\\//g, \".\");\n\treturn path || \"root\";\n}\n\nfunction deepFreeze<T>(value: T): T {\n\tif (typeof value !== \"object\" || value === null || Object.isFrozen(value)) return value;\n\tfor (const child of Object.values(value)) deepFreeze(child);\n\treturn Object.freeze(value);\n}\n\n/** One immutable load of models.json. */\nexport class ModelConfig {\n\tprivate readonly providers: ReadonlyMap<string, ModelsJsonProvider>;\n\tprivate readonly error: string | undefined;\n\n\tprivate constructor(providers: ReadonlyMap<string, ModelsJsonProvider>, error?: string) {\n\t\tthis.providers = providers;\n\t\tthis.error = error;\n\t}\n\n\tstatic async load(modelsJsonPath: string | undefined): Promise<ModelConfig> {\n\t\tif (!modelsJsonPath) return new ModelConfig(new Map());\n\t\tconst path = normalizePath(modelsJsonPath);\n\t\tlet content: string;\n\t\ttry {\n\t\t\tcontent = await readFile(path, \"utf-8\");\n\t\t} catch (error) {\n\t\t\tif ((error as NodeJS.ErrnoException).code === \"ENOENT\") return new ModelConfig(new Map());\n\t\t\treturn new ModelConfig(\n\t\t\t\tnew Map(),\n\t\t\t\t`Failed to load models.json: ${error instanceof Error ? error.message : error}\\n\\nFile: ${path}`,\n\t\t\t);\n\t\t}\n\n\t\tlet parsed: unknown;\n\t\ttry {\n\t\t\tparsed = JSON.parse(stripJsonComments(content));\n\t\t} catch (error) {\n\t\t\treturn new ModelConfig(\n\t\t\t\tnew Map(),\n\t\t\t\t`Failed to parse models.json: ${error instanceof Error ? error.message : error}\\n\\nFile: ${path}`,\n\t\t\t);\n\t\t}\n\n\t\tif (!validateModelsConfig.Check(parsed)) {\n\t\t\tconst errors =\n\t\t\t\tvalidateModelsConfig\n\t\t\t\t\t.Errors(parsed)\n\t\t\t\t\t.map((error) => `  - ${formatValidationPath(error)}: ${error.message}`)\n\t\t\t\t\t.join(\"\\n\") || \"Unknown schema error\";\n\t\t\treturn new ModelConfig(new Map(), `Invalid models.json schema:\\n${errors}\\n\\nFile: ${path}`);\n\t\t}\n\n\t\tconst config = parsed as ModelsJson;\n\t\tconst providers = new Map<string, ModelsJsonProvider>();\n\t\tfor (const [providerId, provider] of Object.entries(config.providers)) {\n\t\t\tproviders.set(providerId, deepFreeze(structuredClone(provider)));\n\t\t}\n\t\treturn new ModelConfig(providers);\n\t}\n\n\tgetProvider(providerId: string): ModelsJsonProvider | undefined {\n\t\treturn this.providers.get(providerId);\n\t}\n\n\tgetProviderIds(): readonly string[] {\n\t\treturn [...this.providers.keys()];\n\t}\n\n\tgetError(): string | undefined {\n\t\treturn this.error;\n\t}\n}\n"]}
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Immutable, credential-blind models.json snapshot. */\n\nimport { readFile } from \"node:fs/promises\";\nimport { type Static, Type } from \"typebox\";\nimport { Compile } from \"typebox/compile\";\nimport type { TLocalizedValidationError } from \"typebox/error\";\nimport { stripJsonComments } from \"../utils/json.ts\";\nimport { normalizePath } from \"../utils/paths.ts\";\n\nconst PercentileCutoffsSchema = Type.Object({\n\tp50: Type.Optional(Type.Number()),\n\tp75: Type.Optional(Type.Number()),\n\tp90: Type.Optional(Type.Number()),\n\tp99: Type.Optional(Type.Number()),\n});\n\nconst OpenRouterRoutingSchema = Type.Object({\n\tallow_fallbacks: Type.Optional(Type.Boolean()),\n\trequire_parameters: Type.Optional(Type.Boolean()),\n\tdata_collection: Type.Optional(Type.Union([Type.Literal(\"deny\"), Type.Literal(\"allow\")])),\n\tzdr: Type.Optional(Type.Boolean()),\n\tenforce_distillable_text: Type.Optional(Type.Boolean()),\n\torder: Type.Optional(Type.Array(Type.String())),\n\tonly: Type.Optional(Type.Array(Type.String())),\n\tignore: Type.Optional(Type.Array(Type.String())),\n\tquantizations: Type.Optional(Type.Array(Type.String())),\n\tsort: Type.Optional(\n\t\tType.Union([\n\t\t\tType.String(),\n\t\t\tType.Object({\n\t\t\t\tby: Type.Optional(Type.String()),\n\t\t\t\tpartition: Type.Optional(Type.Union([Type.String(), Type.Null()])),\n\t\t\t}),\n\t\t]),\n\t),\n\tmax_price: Type.Optional(\n\t\tType.Object({\n\t\t\tprompt: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\tcompletion: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\timage: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\taudio: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t\trequest: Type.Optional(Type.Union([Type.Number(), Type.String()])),\n\t\t}),\n\t),\n\tpreferred_min_throughput: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\n\tpreferred_max_latency: Type.Optional(Type.Union([Type.Number(), PercentileCutoffsSchema])),\n});\n\nconst VercelGatewayRoutingSchema = Type.Object({\n\tonly: Type.Optional(Type.Array(Type.String())),\n\torder: Type.Optional(Type.Array(Type.String())),\n});\n\nconst ThinkingLevelMapValueSchema = Type.Union([Type.String(), Type.Null()]);\nconst ThinkingLevelMapSchema = Type.Object({\n\toff: Type.Optional(ThinkingLevelMapValueSchema),\n\tminimal: Type.Optional(ThinkingLevelMapValueSchema),\n\tlow: Type.Optional(ThinkingLevelMapValueSchema),\n\tmedium: Type.Optional(ThinkingLevelMapValueSchema),\n\thigh: Type.Optional(ThinkingLevelMapValueSchema),\n\txhigh: Type.Optional(ThinkingLevelMapValueSchema),\n\tmax: Type.Optional(ThinkingLevelMapValueSchema),\n});\n\nconst ChatTemplateKwargScalarSchema = Type.Union([Type.String(), Type.Number(), Type.Boolean(), Type.Null()]);\nconst ChatTemplateKwargVariableSchema = Type.Object({\n\t$var: Type.Union([Type.Literal(\"thinking.enabled\"), Type.Literal(\"thinking.effort\")]),\n\tomitWhenOff: Type.Optional(Type.Boolean()),\n});\nconst ChatTemplateKwargSchema = Type.Union([ChatTemplateKwargScalarSchema, ChatTemplateKwargVariableSchema]);\n\nconst OpenAICompletionsCompatSchema = Type.Object({\n\tsupportsStore: Type.Optional(Type.Boolean()),\n\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\n\tsupportsReasoningEffort: Type.Optional(Type.Boolean()),\n\tsupportsUsageInStreaming: Type.Optional(Type.Boolean()),\n\tmaxTokensField: Type.Optional(Type.Union([Type.Literal(\"max_completion_tokens\"), Type.Literal(\"max_tokens\")])),\n\trequiresToolResultName: Type.Optional(Type.Boolean()),\n\trequiresAssistantAfterToolResult: Type.Optional(Type.Boolean()),\n\trequiresThinkingAsText: Type.Optional(Type.Boolean()),\n\trequiresReasoningContentOnAssistantMessages: Type.Optional(Type.Boolean()),\n\tthinkingFormat: Type.Optional(\n\t\tType.Union([\n\t\t\tType.Literal(\"openai\"),\n\t\t\tType.Literal(\"openrouter\"),\n\t\t\tType.Literal(\"together\"),\n\t\t\tType.Literal(\"deepseek\"),\n\t\t\tType.Literal(\"zai\"),\n\t\t\tType.Literal(\"qwen\"),\n\t\t\tType.Literal(\"chat-template\"),\n\t\t\tType.Literal(\"qwen-chat-template\"),\n\t\t\tType.Literal(\"string-thinking\"),\n\t\t\tType.Literal(\"ant-ling\"),\n\t\t]),\n\t),\n\tchatTemplateKwargs: Type.Optional(Type.Record(Type.String(), ChatTemplateKwargSchema)),\n\tcacheControlFormat: Type.Optional(Type.Literal(\"anthropic\")),\n\topenRouterRouting: Type.Optional(OpenRouterRoutingSchema),\n\tvercelGatewayRouting: Type.Optional(VercelGatewayRoutingSchema),\n\tsupportsStrictMode: Type.Optional(Type.Boolean()),\n\tsendSessionAffinityHeaders: Type.Optional(Type.Boolean()),\n\tdeferredToolsMode: Type.Optional(Type.Literal(\"kimi\")),\n\tsessionAffinityFormat: Type.Optional(\n\t\tType.Union([Type.Literal(\"openai\"), Type.Literal(\"openai-nosession\"), Type.Literal(\"openrouter\")]),\n\t),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n});\n\nconst OpenAIResponsesCompatSchema = Type.Object({\n\tsupportsDeveloperRole: Type.Optional(Type.Boolean()),\n\tsessionAffinityFormat: Type.Optional(\n\t\tType.Union([Type.Literal(\"openai\"), Type.Literal(\"openai-nosession\"), Type.Literal(\"openrouter\")]),\n\t),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n\tsupportsToolSearch: Type.Optional(Type.Boolean()),\n});\n\nconst AnthropicMessagesCompatSchema = Type.Object({\n\tsupportsEagerToolInputStreaming: Type.Optional(Type.Boolean()),\n\tsupportsLongCacheRetention: Type.Optional(Type.Boolean()),\n\tsendSessionAffinityHeaders: Type.Optional(Type.Boolean()),\n\tsupportsCacheControlOnTools: Type.Optional(Type.Boolean()),\n\tforceAdaptiveThinking: Type.Optional(Type.Boolean()),\n\tsupportsToolReferences: Type.Optional(Type.Boolean()),\n});\n\nconst ProviderCompatSchema = Type.Union([\n\tOpenAICompletionsCompatSchema,\n\tOpenAIResponsesCompatSchema,\n\tAnthropicMessagesCompatSchema,\n]);\n\nconst ModelCostRatesSchema = {\n\tinput: Type.Number(),\n\toutput: Type.Number(),\n\tcacheRead: Type.Number(),\n\tcacheWrite: Type.Number(),\n};\nconst ModelCostTierSchema = Type.Object({\n\tinputTokensAbove: Type.Number(),\n\t...ModelCostRatesSchema,\n});\nconst ModelCostSchema = Type.Object({\n\t...ModelCostRatesSchema,\n\ttiers: Type.Optional(Type.Array(ModelCostTierSchema)),\n});\n\nconst ModelDefinitionSchema = Type.Object({\n\tid: Type.String({ minLength: 1 }),\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\tapi: Type.Optional(Type.String({ minLength: 1 })),\n\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\n\treasoning: Type.Optional(Type.Boolean()),\n\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\n\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\"text\"), Type.Literal(\"image\")]))),\n\tcost: Type.Optional(ModelCostSchema),\n\tcontextWindow: Type.Optional(Type.Number()),\n\tmaxTokens: Type.Optional(Type.Number()),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n});\n\nconst ModelOverrideSchema = Type.Object({\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\treasoning: Type.Optional(Type.Boolean()),\n\tthinkingLevelMap: Type.Optional(ThinkingLevelMapSchema),\n\tinput: Type.Optional(Type.Array(Type.Union([Type.Literal(\"text\"), Type.Literal(\"image\")]))),\n\tcost: Type.Optional(\n\t\tType.Object({\n\t\t\tinput: Type.Optional(Type.Number()),\n\t\t\toutput: Type.Optional(Type.Number()),\n\t\t\tcacheRead: Type.Optional(Type.Number()),\n\t\t\tcacheWrite: Type.Optional(Type.Number()),\n\t\t\ttiers: Type.Optional(Type.Array(ModelCostTierSchema)),\n\t\t}),\n\t),\n\tcontextWindow: Type.Optional(Type.Number()),\n\tmaxTokens: Type.Optional(Type.Number()),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n});\n\nconst ProviderConfigSchema = Type.Object({\n\tname: Type.Optional(Type.String({ minLength: 1 })),\n\tbaseUrl: Type.Optional(Type.String({ minLength: 1 })),\n\tapiKey: Type.Optional(Type.String({ minLength: 1 })),\n\tapi: Type.Optional(Type.String({ minLength: 1 })),\n\toauth: Type.Optional(Type.Literal(\"radius\")),\n\theaders: Type.Optional(Type.Record(Type.String(), Type.String())),\n\tcompat: Type.Optional(ProviderCompatSchema),\n\tauthHeader: Type.Optional(Type.Boolean()),\n\tmodels: Type.Optional(Type.Array(ModelDefinitionSchema)),\n\tmodelOverrides: Type.Optional(Type.Record(Type.String(), ModelOverrideSchema)),\n});\n\nconst ModelsConfigSchema = Type.Object({\n\tproviders: Type.Record(Type.String(), ProviderConfigSchema),\n});\nconst validateModelsConfig = Compile(ModelsConfigSchema);\n\nexport type ModelsJsonModel = Static<typeof ModelDefinitionSchema>;\nexport type ModelsJsonModelOverride = Static<typeof ModelOverrideSchema>;\nexport type ModelsJsonProvider = Static<typeof ProviderConfigSchema>;\ntype ModelsJson = Static<typeof ModelsConfigSchema>;\n\nfunction formatValidationPath(error: TLocalizedValidationError): string {\n\tif (error.keyword === \"required\") {\n\t\tconst requiredProperties = (error.params as { requiredProperties?: string[] }).requiredProperties;\n\t\tconst requiredProperty = requiredProperties?.[0];\n\t\tif (requiredProperty) {\n\t\t\tconst basePath = error.instancePath.replace(/^\\//, \"\").replace(/\\//g, \".\");\n\t\t\treturn basePath ? `${basePath}.${requiredProperty}` : requiredProperty;\n\t\t}\n\t}\n\tconst path = error.instancePath.replace(/^\\//, \"\").replace(/\\//g, \".\");\n\treturn path || \"root\";\n}\n\nfunction deepFreeze<T>(value: T): T {\n\tif (typeof value !== \"object\" || value === null || Object.isFrozen(value)) return value;\n\tfor (const child of Object.values(value)) deepFreeze(child);\n\treturn Object.freeze(value);\n}\n\n/** One immutable load of models.json. */\nexport class ModelConfig {\n\tprivate readonly providers: ReadonlyMap<string, ModelsJsonProvider>;\n\tprivate readonly error: string | undefined;\n\n\tprivate constructor(providers: ReadonlyMap<string, ModelsJsonProvider>, error?: string) {\n\t\tthis.providers = providers;\n\t\tthis.error = error;\n\t}\n\n\tstatic async load(modelsJsonPath: string | undefined): Promise<ModelConfig> {\n\t\tif (!modelsJsonPath) return new ModelConfig(new Map());\n\t\tconst path = normalizePath(modelsJsonPath);\n\t\tlet content: string;\n\t\ttry {\n\t\t\tcontent = await readFile(path, \"utf-8\");\n\t\t} catch (error) {\n\t\t\tif ((error as NodeJS.ErrnoException).code === \"ENOENT\") return new ModelConfig(new Map());\n\t\t\treturn new ModelConfig(\n\t\t\t\tnew Map(),\n\t\t\t\t`Failed to load models.json: ${error instanceof Error ? error.message : error}\\n\\nFile: ${path}`,\n\t\t\t);\n\t\t}\n\n\t\tlet parsed: unknown;\n\t\ttry {\n\t\t\tparsed = JSON.parse(stripJsonComments(content));\n\t\t} catch (error) {\n\t\t\treturn new ModelConfig(\n\t\t\t\tnew Map(),\n\t\t\t\t`Failed to parse models.json: ${error instanceof Error ? error.message : error}\\n\\nFile: ${path}`,\n\t\t\t);\n\t\t}\n\n\t\tif (!validateModelsConfig.Check(parsed)) {\n\t\t\tconst errors =\n\t\t\t\tvalidateModelsConfig\n\t\t\t\t\t.Errors(parsed)\n\t\t\t\t\t.map((error) => `  - ${formatValidationPath(error)}: ${error.message}`)\n\t\t\t\t\t.join(\"\\n\") || \"Unknown schema error\";\n\t\t\treturn new ModelConfig(new Map(), `Invalid models.json schema:\\n${errors}\\n\\nFile: ${path}`);\n\t\t}\n\n\t\tconst config = parsed as ModelsJson;\n\t\tconst providers = new Map<string, ModelsJsonProvider>();\n\t\tfor (const [providerId, provider] of Object.entries(config.providers)) {\n\t\t\tproviders.set(providerId, deepFreeze(structuredClone(provider)));\n\t\t}\n\t\treturn new ModelConfig(providers);\n\t}\n\n\tgetProvider(providerId: string): ModelsJsonProvider | undefined {\n\t\treturn this.providers.get(providerId);\n\t}\n\n\tgetProviderIds(): readonly string[] {\n\t\treturn [...this.providers.keys()];\n\t}\n\n\tgetError(): string | undefined {\n\t\treturn this.error;\n\t}\n}\n"]}

dist/core/model-resolver.d.ts.map

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* Model resolution, scoping, and initial selection\n */\n\nimport type { ThinkingLevel } from \"@earendil-works/pi-agent-core\";\nimport { type Api, type KnownProvider, type Model, modelsAreEqual } from \"@earendil-works/pi-ai\";\nimport chalk from \"chalk\";\nimport { minimatch } from \"minimatch\";\nimport { isValidThinkingLevel } from \"../cli/args.ts\";\nimport { DEFAULT_THINKING_LEVEL } from \"./defaults.ts\";\nimport type { ModelRuntime } from \"./model-runtime.ts\";\n\n/** Default model IDs for each known provider */\nexport const defaultModelPerProvider: Record<KnownProvider, string> = {\n\t\"amazon-bedrock\": \"us.anthropic.claude-opus-4-6-v1\",\n\t\"ant-ling\": \"Ring-2.6-1T\",\n\tanthropic: \"claude-opus-4-8\",\n\topenai: \"gpt-5.5\",\n\t\"azure-openai-responses\": \"gpt-5.4\",\n\t\"openai-codex\": \"gpt-5.5\",\n\tradius: \"auto\",\n\tnvidia: \"nvidia/nemotron-3-super-120b-a12b\",\n\tdeepseek: \"deepseek-v4-pro\",\n\tgoogle: \"gemini-3.1-pro-preview\",\n\t\"google-vertex\": \"gemini-3.1-pro-preview\",\n\t\"github-copilot\": \"gpt-5.4\",\n\topenrouter: \"moonshotai/kimi-k2.6\",\n\t\"vercel-ai-gateway\": \"zai/glm-5.1\",\n\txai: \"grok-4.20-0309-reasoning\",\n\tgroq: \"openai/gpt-oss-120b\",\n\tcerebras: \"zai-glm-4.7\",\n\tzai: \"glm-5.1\",\n\t\"zai-coding-cn\": \"glm-5.1\",\n\tmistral: \"devstral-medium-latest\",\n\tminimax: \"MiniMax-M2.7\",\n\t\"minimax-cn\": \"MiniMax-M2.7\",\n\tmoonshotai: \"kimi-k2.6\",\n\t\"moonshotai-cn\": \"kimi-k2.6\",\n\thuggingface: \"moonshotai/Kimi-K2.6\",\n\tfireworks: \"accounts/fireworks/models/kimi-k2p6\",\n\ttogether: \"moonshotai/Kimi-K2.6\",\n\topencode: \"kimi-k2.6\",\n\t\"opencode-go\": \"kimi-k2.6\",\n\t\"kimi-coding\": \"kimi-for-coding\",\n\t\"cloudflare-workers-ai\": \"@cf/moonshotai/kimi-k2.6\",\n\t\"cloudflare-ai-gateway\": \"workers-ai/@cf/moonshotai/kimi-k2.6\",\n\txiaomi: \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-cn\": \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-ams\": \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-sgp\": \"mimo-v2.5-pro\",\n};\n\nexport interface ScopedModel {\n\tmodel: Model<Api>;\n\t/** Thinking level if explicitly specified in pattern (e.g., \"model:high\"), undefined otherwise */\n\tthinkingLevel?: ThinkingLevel;\n}\n\n/**\n * Helper to check if a model ID looks like an alias (no date suffix)\n * Dates are typically in format: -20241022 or -20250929\n */\nfunction isAlias(id: string): boolean {\n\t// Check if ID ends with -latest\n\tif (id.endsWith(\"-latest\")) return true;\n\n\t// Check if ID ends with a date pattern (-YYYYMMDD)\n\tconst datePattern = /-\\d{8}$/;\n\treturn !datePattern.test(id);\n}\n\n/**\n * Find an exact model reference match.\n * Supports either a bare model id or a canonical provider/modelId reference.\n * When matching by bare id, ambiguous matches across providers are rejected.\n */\nexport function findExactModelReferenceMatch(\n\tmodelReference: string,\n\tavailableModels: Model<Api>[],\n): Model<Api> | undefined {\n\tconst trimmedReference = modelReference.trim();\n\tif (!trimmedReference) {\n\t\treturn undefined;\n\t}\n\n\tconst normalizedReference = trimmedReference.toLowerCase();\n\n\tconst canonicalMatches = availableModels.filter(\n\t\t(model) => `${model.provider}/${model.id}`.toLowerCase() === normalizedReference,\n\t);\n\tif (canonicalMatches.length === 1) {\n\t\treturn canonicalMatches[0];\n\t}\n\tif (canonicalMatches.length > 1) {\n\t\treturn undefined;\n\t}\n\n\tconst slashIndex = trimmedReference.indexOf(\"/\");\n\tif (slashIndex !== -1) {\n\t\tconst provider = trimmedReference.substring(0, slashIndex).trim();\n\t\tconst modelId = trimmedReference.substring(slashIndex + 1).trim();\n\t\tif (provider && modelId) {\n\t\t\tconst providerMatches = availableModels.filter(\n\t\t\t\t(model) =>\n\t\t\t\t\tmodel.provider.toLowerCase() === provider.toLowerCase() &&\n\t\t\t\t\tmodel.id.toLowerCase() === modelId.toLowerCase(),\n\t\t\t);\n\t\t\tif (providerMatches.length === 1) {\n\t\t\t\treturn providerMatches[0];\n\t\t\t}\n\t\t\tif (providerMatches.length > 1) {\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t}\n\t}\n\n\tconst idMatches = availableModels.filter((model) => model.id.toLowerCase() === normalizedReference);\n\treturn idMatches.length === 1 ? idMatches[0] : undefined;\n}\n\n/**\n * Try to match a pattern to a model from the available models list.\n * Returns the matched model or undefined if no match found.\n */\nfunction tryMatchModel(modelPattern: string, availableModels: Model<Api>[]): Model<Api> | undefined {\n\tconst exactMatch = findExactModelReferenceMatch(modelPattern, availableModels);\n\tif (exactMatch) {\n\t\treturn exactMatch;\n\t}\n\n\t// No exact match - fall back to partial matching\n\tconst matches = availableModels.filter(\n\t\t(m) =>\n\t\t\tm.id.toLowerCase().includes(modelPattern.toLowerCase()) ||\n\t\t\tm.name?.toLowerCase().includes(modelPattern.toLowerCase()),\n\t);\n\n\tif (matches.length === 0) {\n\t\treturn undefined;\n\t}\n\n\t// Separate into aliases and dated versions\n\tconst aliases = matches.filter((m) => isAlias(m.id));\n\tconst datedVersions = matches.filter((m) => !isAlias(m.id));\n\n\tif (aliases.length > 0) {\n\t\t// Prefer alias - if multiple aliases, pick the one that sorts highest\n\t\taliases.sort((a, b) => b.id.localeCompare(a.id));\n\t\treturn aliases[0];\n\t} else {\n\t\t// No alias found, pick latest dated version\n\t\tdatedVersions.sort((a, b) => b.id.localeCompare(a.id));\n\t\treturn datedVersions[0];\n\t}\n}\n\nexport interface ParsedModelResult {\n\tmodel: Model<Api> | undefined;\n\t/** Thinking level if explicitly specified in pattern, undefined otherwise */\n\tthinkingLevel?: ThinkingLevel;\n\twarning: string | undefined;\n}\n\nfunction buildFallbackModel(provider: string, modelId: string, availableModels: Model<Api>[]): Model<Api> | undefined {\n\tconst providerModels = availableModels.filter((m) => m.provider === provider);\n\tif (providerModels.length === 0) return undefined;\n\n\tconst defaultId = defaultModelPerProvider[provider as KnownProvider];\n\tconst baseModel = defaultId\n\t\t? (providerModels.find((m) => m.id === defaultId) ?? providerModels[0])\n\t\t: providerModels[0];\n\n\treturn {\n\t\t...baseModel,\n\t\tid: modelId,\n\t\tname: modelId,\n\t};\n}\n\n/**\n * Parse a pattern to extract model and thinking level.\n * Handles models with colons in their IDs (e.g., OpenRouter's :exacto suffix).\n *\n * Algorithm:\n * 1. Try to match full pattern as a model\n * 2. If found, return it with \"off\" thinking level\n * 3. If not found and has colons, split on last colon:\n *    - If suffix is valid thinking level, use it and recurse on prefix\n *    - If suffix is invalid, warn and recurse on prefix with \"off\"\n *\n * @internal Exported for testing\n */\nexport function parseModelPattern(\n\tpattern: string,\n\tavailableModels: Model<Api>[],\n\toptions?: { allowInvalidThinkingLevelFallback?: boolean },\n): ParsedModelResult {\n\t// Try exact match first\n\tconst exactMatch = tryMatchModel(pattern, availableModels);\n\tif (exactMatch) {\n\t\treturn { model: exactMatch, thinkingLevel: undefined, warning: undefined };\n\t}\n\n\t// No match - try splitting on last colon if present\n\tconst lastColonIndex = pattern.lastIndexOf(\":\");\n\tif (lastColonIndex === -1) {\n\t\t// No colons, pattern simply doesn't match any model\n\t\treturn { model: undefined, thinkingLevel: undefined, warning: undefined };\n\t}\n\n\tconst prefix = pattern.substring(0, lastColonIndex);\n\tconst suffix = pattern.substring(lastColonIndex + 1);\n\n\tif (isValidThinkingLevel(suffix)) {\n\t\t// Valid thinking level - recurse on prefix and use this level\n\t\tconst result = parseModelPattern(prefix, availableModels, options);\n\t\tif (result.model) {\n\t\t\t// Only use this thinking level if no warning from inner recursion\n\t\t\treturn {\n\t\t\t\tmodel: result.model,\n\t\t\t\tthinkingLevel: result.warning ? undefined : suffix,\n\t\t\t\twarning: result.warning,\n\t\t\t};\n\t\t}\n\t\treturn result;\n\t} else {\n\t\t// Invalid suffix\n\t\tconst allowFallback = options?.allowInvalidThinkingLevelFallback ?? true;\n\t\tif (!allowFallback) {\n\t\t\t// In strict mode (CLI --model parsing), treat it as part of the model id and fail.\n\t\t\t// This avoids accidentally resolving to a different model.\n\t\t\treturn { model: undefined, thinkingLevel: undefined, warning: undefined };\n\t\t}\n\n\t\t// Scope mode: recurse on prefix and warn\n\t\tconst result = parseModelPattern(prefix, availableModels, options);\n\t\tif (result.model) {\n\t\t\treturn {\n\t\t\t\tmodel: result.model,\n\t\t\t\tthinkingLevel: undefined,\n\t\t\t\twarning: `Invalid thinking level \"${suffix}\" in pattern \"${pattern}\". Using default instead.`,\n\t\t\t};\n\t\t}\n\t\treturn result;\n\t}\n}\n\n/**\n * Resolve model patterns to actual Model objects with optional thinking levels\n * Format: \"pattern:level\" where :level is optional\n * For each pattern, finds all matching models and picks the best version:\n * 1. Prefer alias (e.g., claude-sonnet-4-5) over dated versions (claude-sonnet-4-5-20250929)\n * 2. If no alias, pick the latest dated version\n *\n * Supports models with colons in their IDs (e.g., OpenRouter's model:exacto).\n * The algorithm tries to match the full pattern first, then progressively\n * strips colon-suffixes to find a match.\n */\nexport interface ModelScopeDiagnostic {\n\ttype: \"warning\";\n\tmessage: string;\n\tpattern: string;\n}\n\nexport interface ResolveModelScopeResult {\n\tscopedModels: ScopedModel[];\n\tdiagnostics: ModelScopeDiagnostic[];\n}\n\nexport async function resolveModelScopeWithDiagnostics(\n\tpatterns: string[],\n\tmodelRuntime: ModelRuntime,\n): Promise<ResolveModelScopeResult> {\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\tconst scopedModels: ScopedModel[] = [];\n\tconst diagnostics: ModelScopeDiagnostic[] = [];\n\n\tfor (const pattern of patterns) {\n\t\t// Check if pattern contains glob characters\n\t\tif (pattern.includes(\"*\") || pattern.includes(\"?\") || pattern.includes(\"[\")) {\n\t\t\t// Extract optional thinking level suffix (e.g., \"provider/*:high\")\n\t\t\tconst colonIdx = pattern.lastIndexOf(\":\");\n\t\t\tlet globPattern = pattern;\n\t\t\tlet thinkingLevel: ThinkingLevel | undefined;\n\n\t\t\tif (colonIdx !== -1) {\n\t\t\t\tconst suffix = pattern.substring(colonIdx + 1);\n\t\t\t\tif (isValidThinkingLevel(suffix)) {\n\t\t\t\t\tthinkingLevel = suffix;\n\t\t\t\t\tglobPattern = pattern.substring(0, colonIdx);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Match against \"provider/modelId\" format OR just model ID\n\t\t\t// This allows \"*sonnet*\" to match without requiring \"anthropic/*sonnet*\"\n\t\t\tconst matchingModels = availableModels.filter((m) => {\n\t\t\t\tconst fullId = `${m.provider}/${m.id}`;\n\t\t\t\treturn minimatch(fullId, globPattern, { nocase: true }) || minimatch(m.id, globPattern, { nocase: true });\n\t\t\t});\n\n\t\t\tif (matchingModels.length === 0) {\n\t\t\t\tdiagnostics.push({ type: \"warning\", message: `No models match pattern \"${pattern}\"`, pattern });\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tfor (const model of matchingModels) {\n\t\t\t\tif (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {\n\t\t\t\t\tscopedModels.push({ model, thinkingLevel });\n\t\t\t\t}\n\t\t\t}\n\t\t\tcontinue;\n\t\t}\n\n\t\tconst { model, thinkingLevel, warning } = parseModelPattern(pattern, availableModels);\n\n\t\tif (warning) {\n\t\t\tdiagnostics.push({ type: \"warning\", message: warning, pattern });\n\t\t}\n\n\t\tif (!model) {\n\t\t\tdiagnostics.push({ type: \"warning\", message: `No models match pattern \"${pattern}\"`, pattern });\n\t\t\tcontinue;\n\t\t}\n\n\t\t// Avoid duplicates\n\t\tif (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {\n\t\t\tscopedModels.push({ model, thinkingLevel });\n\t\t}\n\t}\n\n\treturn { scopedModels, diagnostics };\n}\n\nexport async function resolveModelScope(patterns: string[], modelRuntime: ModelRuntime): Promise<ScopedModel[]> {\n\tconst { scopedModels, diagnostics } = await resolveModelScopeWithDiagnostics(patterns, modelRuntime);\n\tfor (const diagnostic of diagnostics) {\n\t\tconsole.warn(chalk.yellow(`Warning: ${diagnostic.message}`));\n\t}\n\treturn scopedModels;\n}\n\nexport interface ResolveCliModelResult {\n\tmodel: Model<Api> | undefined;\n\tthinkingLevel?: ThinkingLevel;\n\twarning: string | undefined;\n\t/**\n\t * Error message suitable for CLI display.\n\t * When set, model will be undefined.\n\t */\n\terror: string | undefined;\n}\n\n/**\n * Resolve a single model from CLI flags.\n *\n * Supports:\n * - --provider <provider> --model <pattern>\n * - --model <provider>/<pattern>\n * - Fuzzy matching (same rules as model scoping: exact id, then partial id/name)\n *\n * Note: This does not apply the thinking level by itself, but it may *parse* and\n * return a thinking level from \"<pattern>:<thinking>\" so the caller can apply it.\n */\nexport function resolveCliModel(options: {\n\tcliProvider?: string;\n\tcliModel?: string;\n\tcliThinking?: ThinkingLevel;\n\tmodelRuntime: ModelRuntime;\n}): ResolveCliModelResult {\n\tconst { cliProvider, cliModel, cliThinking, modelRuntime } = options;\n\n\tif (!cliModel) {\n\t\treturn { model: undefined, warning: undefined, error: undefined };\n\t}\n\n\t// Important: use *all* models here, not just models with pre-configured auth.\n\t// This allows \"--api-key\" to be used for first-time setup.\n\tconst availableModels = [...modelRuntime.getModels()];\n\tif (availableModels.length === 0) {\n\t\treturn {\n\t\t\tmodel: undefined,\n\t\t\twarning: undefined,\n\t\t\terror: \"No models available. Check your installation or add models to models.json.\",\n\t\t};\n\t}\n\n\t// Build canonical provider lookup (case-insensitive)\n\tconst providerMap = new Map<string, string>();\n\tfor (const m of availableModels) {\n\t\tproviderMap.set(m.provider.toLowerCase(), m.provider);\n\t}\n\n\tlet provider = cliProvider ? providerMap.get(cliProvider.toLowerCase()) : undefined;\n\tif (cliProvider && !provider) {\n\t\treturn {\n\t\t\tmodel: undefined,\n\t\t\twarning: undefined,\n\t\t\terror: `Unknown provider \"${cliProvider}\". Use --list-models to see available providers/models.`,\n\t\t};\n\t}\n\n\t// If no explicit --provider, try to interpret \"provider/model\" format first.\n\t// When the prefix before the first slash matches a known provider, prefer that\n\t// interpretation over matching models whose IDs literally contain slashes\n\t// (e.g. \"zai/glm-5\" should resolve to provider=zai, model=glm-5, not to a\n\t// vercel-ai-gateway model with id \"zai/glm-5\").\n\tlet pattern = cliModel;\n\tlet inferredProvider = false;\n\n\tif (!provider) {\n\t\tconst slashIndex = cliModel.indexOf(\"/\");\n\t\tif (slashIndex !== -1) {\n\t\t\tconst maybeProvider = cliModel.substring(0, slashIndex);\n\t\t\tconst canonical = providerMap.get(maybeProvider.toLowerCase());\n\t\t\tif (canonical) {\n\t\t\t\tprovider = canonical;\n\t\t\t\tpattern = cliModel.substring(slashIndex + 1);\n\t\t\t\tinferredProvider = true;\n\t\t\t}\n\t\t}\n\t}\n\n\t// If no provider was inferred from the slash, try exact matches without provider inference.\n\t// This handles models whose IDs naturally contain slashes (e.g. OpenRouter-style IDs).\n\tif (!provider) {\n\t\tconst lower = cliModel.toLowerCase();\n\t\tconst exact = availableModels.find(\n\t\t\t(m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower,\n\t\t);\n\t\tif (exact) {\n\t\t\treturn { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };\n\t\t}\n\t}\n\n\tif (cliProvider && provider) {\n\t\t// If both were provided, tolerate --model <provider>/<pattern> by stripping the provider prefix\n\t\tconst prefix = `${provider}/`;\n\t\tif (cliModel.toLowerCase().startsWith(prefix.toLowerCase())) {\n\t\t\tpattern = cliModel.substring(prefix.length);\n\t\t}\n\t}\n\n\tconst candidates = provider ? availableModels.filter((m) => m.provider === provider) : availableModels;\n\tconst { model, thinkingLevel, warning } = parseModelPattern(pattern, candidates, {\n\t\tallowInvalidThinkingLevelFallback: false,\n\t});\n\n\tif (model) {\n\t\t// If provider inference matched an unauthenticated provider/model pair, prefer\n\t\t// one exact raw model-id match that is authenticated. This keeps\n\t\t// \"provider/model\" syntax preferred when usable, but handles models whose\n\t\t// literal id starts with a known provider name (for example\n\t\t// commandcode model id \"xiaomi/mimo-v2.5-pro\").\n\t\tif (inferredProvider) {\n\t\t\tconst rawExactMatches = availableModels.filter(\n\t\t\t\t(m) => m.id.toLowerCase() === cliModel.toLowerCase() && !modelsAreEqual(m, model),\n\t\t\t);\n\t\t\tif (rawExactMatches.length > 0 && !modelRuntime.hasConfiguredAuth(model.provider)) {\n\t\t\t\tconst authenticatedRawMatches = rawExactMatches.filter((m) => modelRuntime.hasConfiguredAuth(m.provider));\n\t\t\t\tif (authenticatedRawMatches.length === 1) {\n\t\t\t\t\treturn {\n\t\t\t\t\t\tmodel: authenticatedRawMatches[0],\n\t\t\t\t\t\tthinkingLevel: undefined,\n\t\t\t\t\t\twarning: undefined,\n\t\t\t\t\t\terror: undefined,\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn { model, thinkingLevel, warning, error: undefined };\n\t}\n\n\t// If we inferred a provider from the slash but found no match within that provider,\n\t// fall back to matching the full input as a raw model id across all models.\n\t// This handles OpenRouter-style IDs like \"openai/gpt-4o:extended\" where \"openai\"\n\t// looks like a provider but the full string is actually a model id on openrouter.\n\tif (inferredProvider) {\n\t\tconst lower = cliModel.toLowerCase();\n\t\tconst exact = availableModels.find(\n\t\t\t(m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower,\n\t\t);\n\t\tif (exact) {\n\t\t\treturn { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };\n\t\t}\n\t\t// Also try parseModelPattern on the full input against all models\n\t\tconst fallback = parseModelPattern(cliModel, availableModels, {\n\t\t\tallowInvalidThinkingLevelFallback: false,\n\t\t});\n\t\tif (fallback.model) {\n\t\t\treturn {\n\t\t\t\tmodel: fallback.model,\n\t\t\t\tthinkingLevel: fallback.thinkingLevel,\n\t\t\t\twarning: fallback.warning,\n\t\t\t\terror: undefined,\n\t\t\t};\n\t\t}\n\t}\n\n\tif (provider) {\n\t\t// Parse thinking level suffix from the pattern before building the fallback model,\n\t\t// but only when --thinking is not explicitly provided.\n\t\t// e.g. \"zai-org/GLM-5.1-FP8:high\" → modelId=\"zai-org/GLM-5.1-FP8\", fallbackThinking=\"high\"\n\t\tlet fallbackPattern = pattern;\n\t\tlet fallbackThinking: ThinkingLevel | undefined;\n\t\tif (!cliThinking) {\n\t\t\tconst lastColon = pattern.lastIndexOf(\":\");\n\t\t\tif (lastColon !== -1) {\n\t\t\t\tconst suffix = pattern.substring(lastColon + 1);\n\t\t\t\tif (isValidThinkingLevel(suffix)) {\n\t\t\t\t\tfallbackPattern = pattern.substring(0, lastColon);\n\t\t\t\t\tfallbackThinking = suffix;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tconst fallbackModel = buildFallbackModel(provider, fallbackPattern, availableModels);\n\t\tif (fallbackModel) {\n\t\t\tconst requestedThinking = cliThinking ?? fallbackThinking;\n\t\t\tconst model =\n\t\t\t\trequestedThinking && requestedThinking !== \"off\" ? { ...fallbackModel, reasoning: true } : fallbackModel;\n\t\t\tconst fallbackWarning = warning\n\t\t\t\t? `${warning} Model \"${fallbackPattern}\" not found for provider \"${provider}\". Using custom model id.`\n\t\t\t\t: `Model \"${fallbackPattern}\" not found for provider \"${provider}\". Using custom model id.`;\n\t\t\treturn { model, thinkingLevel: fallbackThinking, warning: fallbackWarning, error: undefined };\n\t\t}\n\t}\n\n\tconst display = provider ? `${provider}/${pattern}` : cliModel;\n\treturn {\n\t\tmodel: undefined,\n\t\tthinkingLevel: undefined,\n\t\twarning,\n\t\terror: `Model \"${display}\" not found. Use --list-models to see available models.`,\n\t};\n}\n\nexport interface InitialModelResult {\n\tmodel: Model<Api> | undefined;\n\tthinkingLevel: ThinkingLevel;\n\tfallbackMessage: string | undefined;\n}\n\n/**\n * Find the initial model to use based on priority:\n * 1. CLI args (provider + model)\n * 2. First model from scoped models (if not continuing/resuming)\n * 3. Restored from session (if continuing/resuming)\n * 4. Saved default from settings\n * 5. First available model with valid API key\n */\nexport async function findInitialModel(options: {\n\tcliProvider?: string;\n\tcliModel?: string;\n\tscopedModels: ScopedModel[];\n\tisContinuing: boolean;\n\tdefaultProvider?: string;\n\tdefaultModelId?: string;\n\tdefaultThinkingLevel?: ThinkingLevel;\n\tmodelRuntime: ModelRuntime;\n}): Promise<InitialModelResult> {\n\tconst {\n\t\tcliProvider,\n\t\tcliModel,\n\t\tscopedModels,\n\t\tisContinuing,\n\t\tdefaultProvider,\n\t\tdefaultModelId,\n\t\tdefaultThinkingLevel,\n\t\tmodelRuntime,\n\t} = options;\n\n\tlet model: Model<Api> | undefined;\n\tlet thinkingLevel: ThinkingLevel = DEFAULT_THINKING_LEVEL;\n\n\t// 1. CLI args take priority\n\tif (cliProvider && cliModel) {\n\t\tconst resolved = resolveCliModel({\n\t\t\tcliProvider,\n\t\t\tcliModel,\n\t\t\tmodelRuntime,\n\t\t});\n\t\tif (resolved.error) {\n\t\t\tconsole.error(chalk.red(resolved.error));\n\t\t\tprocess.exit(1);\n\t\t}\n\t\tif (resolved.model) {\n\t\t\treturn { model: resolved.model, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t\t}\n\t}\n\n\t// 2. Use first model from scoped models (skip if continuing/resuming)\n\tif (scopedModels.length > 0 && !isContinuing) {\n\t\treturn {\n\t\t\tmodel: scopedModels[0].model,\n\t\t\tthinkingLevel: scopedModels[0].thinkingLevel ?? defaultThinkingLevel ?? DEFAULT_THINKING_LEVEL,\n\t\t\tfallbackMessage: undefined,\n\t\t};\n\t}\n\n\t// 3. Try saved default from settings if auth is configured.\n\tif (defaultProvider && defaultModelId) {\n\t\tconst found = modelRuntime.getModel(defaultProvider, defaultModelId);\n\t\tif (found && modelRuntime.hasConfiguredAuth(found.provider)) {\n\t\t\tmodel = found;\n\t\t\tif (defaultThinkingLevel) {\n\t\t\t\tthinkingLevel = defaultThinkingLevel;\n\t\t\t}\n\t\t\treturn { model, thinkingLevel, fallbackMessage: undefined };\n\t\t}\n\t}\n\n\t// 4. Try first available model with valid API key\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\n\tif (availableModels.length > 0) {\n\t\t// Try to find a default model from known providers\n\t\tfor (const provider of Object.keys(defaultModelPerProvider) as KnownProvider[]) {\n\t\t\tconst defaultId = defaultModelPerProvider[provider];\n\t\t\tconst match = availableModels.find((m) => m.provider === provider && m.id === defaultId);\n\t\t\tif (match) {\n\t\t\t\treturn { model: match, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t\t\t}\n\t\t}\n\n\t\t// If no default found, use first available\n\t\treturn { model: availableModels[0], thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t}\n\n\t// 5. No model found\n\treturn { model: undefined, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n}\n\n/**\n * Restore model from session, with fallback to available models\n */\nexport async function restoreModelFromSession(\n\tsavedProvider: string,\n\tsavedModelId: string,\n\tcurrentModel: Model<Api> | undefined,\n\tshouldPrintMessages: boolean,\n\tmodelRuntime: ModelRuntime,\n): Promise<{ model: Model<Api> | undefined; fallbackMessage: string | undefined }> {\n\tconst restoredModel = modelRuntime.getModel(savedProvider, savedModelId);\n\n\t// Check if restored model exists and still has auth configured\n\tconst hasConfiguredAuth = restoredModel ? modelRuntime.hasConfiguredAuth(restoredModel.provider) : false;\n\n\tif (restoredModel && hasConfiguredAuth) {\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Restored model: ${savedProvider}/${savedModelId}`));\n\t\t}\n\t\treturn { model: restoredModel, fallbackMessage: undefined };\n\t}\n\n\t// Model not found or no API key - fall back\n\tconst reason = !restoredModel ? \"model no longer exists\" : \"no auth configured\";\n\n\tif (shouldPrintMessages) {\n\t\tconsole.error(chalk.yellow(`Warning: Could not restore model ${savedProvider}/${savedModelId} (${reason}).`));\n\t}\n\n\t// If we already have a model, use it as fallback\n\tif (currentModel) {\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Falling back to: ${currentModel.provider}/${currentModel.id}`));\n\t\t}\n\t\treturn {\n\t\t\tmodel: currentModel,\n\t\t\tfallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${currentModel.provider}/${currentModel.id}.`,\n\t\t};\n\t}\n\n\t// Try to find any available model\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\n\tif (availableModels.length > 0) {\n\t\t// Try to find a default model from known providers\n\t\tlet fallbackModel: Model<Api> | undefined;\n\t\tfor (const provider of Object.keys(defaultModelPerProvider) as KnownProvider[]) {\n\t\t\tconst defaultId = defaultModelPerProvider[provider];\n\t\t\tconst match = availableModels.find((m) => m.provider === provider && m.id === defaultId);\n\t\t\tif (match) {\n\t\t\t\tfallbackModel = match;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\t// If no default found, use first available\n\t\tif (!fallbackModel) {\n\t\t\tfallbackModel = availableModels[0];\n\t\t}\n\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Falling back to: ${fallbackModel.provider}/${fallbackModel.id}`));\n\t\t}\n\n\t\treturn {\n\t\t\tmodel: fallbackModel,\n\t\t\tfallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${fallbackModel.provider}/${fallbackModel.id}.`,\n\t\t};\n\t}\n\n\t// No models available\n\treturn { model: undefined, fallbackMessage: undefined };\n}\n"]}
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* Model resolution, scoping, and initial selection\n */\n\nimport type { ThinkingLevel } from \"@earendil-works/pi-agent-core\";\nimport { type Api, type KnownProvider, type Model, modelsAreEqual } from \"@earendil-works/pi-ai\";\nimport chalk from \"chalk\";\nimport { minimatch } from \"minimatch\";\nimport { isValidThinkingLevel } from \"../cli/args.ts\";\nimport { DEFAULT_THINKING_LEVEL } from \"./defaults.ts\";\nimport type { ModelRuntime } from \"./model-runtime.ts\";\n\n/** Default model IDs for each known provider */\nexport const defaultModelPerProvider: Record<KnownProvider, string> = {\n\t\"amazon-bedrock\": \"us.anthropic.claude-opus-4-6-v1\",\n\t\"ant-ling\": \"Ring-2.6-1T\",\n\tanthropic: \"claude-opus-4-8\",\n\topenai: \"gpt-5.5\",\n\t\"azure-openai-responses\": \"gpt-5.4\",\n\t\"openai-codex\": \"gpt-5.5\",\n\tradius: \"auto\",\n\tnvidia: \"nvidia/nemotron-3-super-120b-a12b\",\n\tdeepseek: \"deepseek-v4-pro\",\n\tgoogle: \"gemini-3.1-pro-preview\",\n\t\"google-vertex\": \"gemini-3.1-pro-preview\",\n\t\"github-copilot\": \"gpt-5.4\",\n\topenrouter: \"moonshotai/kimi-k2.6\",\n\t\"vercel-ai-gateway\": \"zai/glm-5.1\",\n\txai: \"grok-4.5\",\n\tgroq: \"openai/gpt-oss-120b\",\n\tcerebras: \"zai-glm-4.7\",\n\tzai: \"glm-5.1\",\n\t\"zai-coding-cn\": \"glm-5.1\",\n\tmistral: \"devstral-medium-latest\",\n\tminimax: \"MiniMax-M2.7\",\n\t\"minimax-cn\": \"MiniMax-M2.7\",\n\tmoonshotai: \"kimi-k2.6\",\n\t\"moonshotai-cn\": \"kimi-k2.6\",\n\thuggingface: \"moonshotai/Kimi-K2.6\",\n\tfireworks: \"accounts/fireworks/models/kimi-k2p6\",\n\ttogether: \"moonshotai/Kimi-K2.6\",\n\topencode: \"kimi-k2.6\",\n\t\"opencode-go\": \"kimi-k2.6\",\n\t\"kimi-coding\": \"kimi-for-coding\",\n\t\"cloudflare-workers-ai\": \"@cf/moonshotai/kimi-k2.6\",\n\t\"cloudflare-ai-gateway\": \"workers-ai/@cf/moonshotai/kimi-k2.6\",\n\txiaomi: \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-cn\": \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-ams\": \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-sgp\": \"mimo-v2.5-pro\",\n};\n\nexport interface ScopedModel {\n\tmodel: Model<Api>;\n\t/** Thinking level if explicitly specified in pattern (e.g., \"model:high\"), undefined otherwise */\n\tthinkingLevel?: ThinkingLevel;\n}\n\n/**\n * Helper to check if a model ID looks like an alias (no date suffix)\n * Dates are typically in format: -20241022 or -20250929\n */\nfunction isAlias(id: string): boolean {\n\t// Check if ID ends with -latest\n\tif (id.endsWith(\"-latest\")) return true;\n\n\t// Check if ID ends with a date pattern (-YYYYMMDD)\n\tconst datePattern = /-\\d{8}$/;\n\treturn !datePattern.test(id);\n}\n\n/**\n * Find an exact model reference match.\n * Supports either a bare model id or a canonical provider/modelId reference.\n * When matching by bare id, ambiguous matches across providers are rejected.\n */\nexport function findExactModelReferenceMatch(\n\tmodelReference: string,\n\tavailableModels: Model<Api>[],\n): Model<Api> | undefined {\n\tconst trimmedReference = modelReference.trim();\n\tif (!trimmedReference) {\n\t\treturn undefined;\n\t}\n\n\tconst normalizedReference = trimmedReference.toLowerCase();\n\n\tconst canonicalMatches = availableModels.filter(\n\t\t(model) => `${model.provider}/${model.id}`.toLowerCase() === normalizedReference,\n\t);\n\tif (canonicalMatches.length === 1) {\n\t\treturn canonicalMatches[0];\n\t}\n\tif (canonicalMatches.length > 1) {\n\t\treturn undefined;\n\t}\n\n\tconst slashIndex = trimmedReference.indexOf(\"/\");\n\tif (slashIndex !== -1) {\n\t\tconst provider = trimmedReference.substring(0, slashIndex).trim();\n\t\tconst modelId = trimmedReference.substring(slashIndex + 1).trim();\n\t\tif (provider && modelId) {\n\t\t\tconst providerMatches = availableModels.filter(\n\t\t\t\t(model) =>\n\t\t\t\t\tmodel.provider.toLowerCase() === provider.toLowerCase() &&\n\t\t\t\t\tmodel.id.toLowerCase() === modelId.toLowerCase(),\n\t\t\t);\n\t\t\tif (providerMatches.length === 1) {\n\t\t\t\treturn providerMatches[0];\n\t\t\t}\n\t\t\tif (providerMatches.length > 1) {\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t}\n\t}\n\n\tconst idMatches = availableModels.filter((model) => model.id.toLowerCase() === normalizedReference);\n\treturn idMatches.length === 1 ? idMatches[0] : undefined;\n}\n\n/**\n * Try to match a pattern to a model from the available models list.\n * Returns the matched model or undefined if no match found.\n */\nfunction tryMatchModel(modelPattern: string, availableModels: Model<Api>[]): Model<Api> | undefined {\n\tconst exactMatch = findExactModelReferenceMatch(modelPattern, availableModels);\n\tif (exactMatch) {\n\t\treturn exactMatch;\n\t}\n\n\t// No exact match - fall back to partial matching\n\tconst matches = availableModels.filter(\n\t\t(m) =>\n\t\t\tm.id.toLowerCase().includes(modelPattern.toLowerCase()) ||\n\t\t\tm.name?.toLowerCase().includes(modelPattern.toLowerCase()),\n\t);\n\n\tif (matches.length === 0) {\n\t\treturn undefined;\n\t}\n\n\t// Separate into aliases and dated versions\n\tconst aliases = matches.filter((m) => isAlias(m.id));\n\tconst datedVersions = matches.filter((m) => !isAlias(m.id));\n\n\tif (aliases.length > 0) {\n\t\t// Prefer alias - if multiple aliases, pick the one that sorts highest\n\t\taliases.sort((a, b) => b.id.localeCompare(a.id));\n\t\treturn aliases[0];\n\t} else {\n\t\t// No alias found, pick latest dated version\n\t\tdatedVersions.sort((a, b) => b.id.localeCompare(a.id));\n\t\treturn datedVersions[0];\n\t}\n}\n\nexport interface ParsedModelResult {\n\tmodel: Model<Api> | undefined;\n\t/** Thinking level if explicitly specified in pattern, undefined otherwise */\n\tthinkingLevel?: ThinkingLevel;\n\twarning: string | undefined;\n}\n\nfunction buildFallbackModel(provider: string, modelId: string, availableModels: Model<Api>[]): Model<Api> | undefined {\n\tconst providerModels = availableModels.filter((m) => m.provider === provider);\n\tif (providerModels.length === 0) return undefined;\n\n\tconst defaultId = defaultModelPerProvider[provider as KnownProvider];\n\tconst baseModel = defaultId\n\t\t? (providerModels.find((m) => m.id === defaultId) ?? providerModels[0])\n\t\t: providerModels[0];\n\n\treturn {\n\t\t...baseModel,\n\t\tid: modelId,\n\t\tname: modelId,\n\t};\n}\n\n/**\n * Parse a pattern to extract model and thinking level.\n * Handles models with colons in their IDs (e.g., OpenRouter's :exacto suffix).\n *\n * Algorithm:\n * 1. Try to match full pattern as a model\n * 2. If found, return it with \"off\" thinking level\n * 3. If not found and has colons, split on last colon:\n *    - If suffix is valid thinking level, use it and recurse on prefix\n *    - If suffix is invalid, warn and recurse on prefix with \"off\"\n *\n * @internal Exported for testing\n */\nexport function parseModelPattern(\n\tpattern: string,\n\tavailableModels: Model<Api>[],\n\toptions?: { allowInvalidThinkingLevelFallback?: boolean },\n): ParsedModelResult {\n\t// Try exact match first\n\tconst exactMatch = tryMatchModel(pattern, availableModels);\n\tif (exactMatch) {\n\t\treturn { model: exactMatch, thinkingLevel: undefined, warning: undefined };\n\t}\n\n\t// No match - try splitting on last colon if present\n\tconst lastColonIndex = pattern.lastIndexOf(\":\");\n\tif (lastColonIndex === -1) {\n\t\t// No colons, pattern simply doesn't match any model\n\t\treturn { model: undefined, thinkingLevel: undefined, warning: undefined };\n\t}\n\n\tconst prefix = pattern.substring(0, lastColonIndex);\n\tconst suffix = pattern.substring(lastColonIndex + 1);\n\n\tif (isValidThinkingLevel(suffix)) {\n\t\t// Valid thinking level - recurse on prefix and use this level\n\t\tconst result = parseModelPattern(prefix, availableModels, options);\n\t\tif (result.model) {\n\t\t\t// Only use this thinking level if no warning from inner recursion\n\t\t\treturn {\n\t\t\t\tmodel: result.model,\n\t\t\t\tthinkingLevel: result.warning ? undefined : suffix,\n\t\t\t\twarning: result.warning,\n\t\t\t};\n\t\t}\n\t\treturn result;\n\t} else {\n\t\t// Invalid suffix\n\t\tconst allowFallback = options?.allowInvalidThinkingLevelFallback ?? true;\n\t\tif (!allowFallback) {\n\t\t\t// In strict mode (CLI --model parsing), treat it as part of the model id and fail.\n\t\t\t// This avoids accidentally resolving to a different model.\n\t\t\treturn { model: undefined, thinkingLevel: undefined, warning: undefined };\n\t\t}\n\n\t\t// Scope mode: recurse on prefix and warn\n\t\tconst result = parseModelPattern(prefix, availableModels, options);\n\t\tif (result.model) {\n\t\t\treturn {\n\t\t\t\tmodel: result.model,\n\t\t\t\tthinkingLevel: undefined,\n\t\t\t\twarning: `Invalid thinking level \"${suffix}\" in pattern \"${pattern}\". Using default instead.`,\n\t\t\t};\n\t\t}\n\t\treturn result;\n\t}\n}\n\n/**\n * Resolve model patterns to actual Model objects with optional thinking levels\n * Format: \"pattern:level\" where :level is optional\n * For each pattern, finds all matching models and picks the best version:\n * 1. Prefer alias (e.g., claude-sonnet-4-5) over dated versions (claude-sonnet-4-5-20250929)\n * 2. If no alias, pick the latest dated version\n *\n * Supports models with colons in their IDs (e.g., OpenRouter's model:exacto).\n * The algorithm tries to match the full pattern first, then progressively\n * strips colon-suffixes to find a match.\n */\nexport interface ModelScopeDiagnostic {\n\ttype: \"warning\";\n\tmessage: string;\n\tpattern: string;\n}\n\nexport interface ResolveModelScopeResult {\n\tscopedModels: ScopedModel[];\n\tdiagnostics: ModelScopeDiagnostic[];\n}\n\nexport async function resolveModelScopeWithDiagnostics(\n\tpatterns: string[],\n\tmodelRuntime: ModelRuntime,\n): Promise<ResolveModelScopeResult> {\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\tconst scopedModels: ScopedModel[] = [];\n\tconst diagnostics: ModelScopeDiagnostic[] = [];\n\n\tfor (const pattern of patterns) {\n\t\t// Check if pattern contains glob characters\n\t\tif (pattern.includes(\"*\") || pattern.includes(\"?\") || pattern.includes(\"[\")) {\n\t\t\t// Extract optional thinking level suffix (e.g., \"provider/*:high\")\n\t\t\tconst colonIdx = pattern.lastIndexOf(\":\");\n\t\t\tlet globPattern = pattern;\n\t\t\tlet thinkingLevel: ThinkingLevel | undefined;\n\n\t\t\tif (colonIdx !== -1) {\n\t\t\t\tconst suffix = pattern.substring(colonIdx + 1);\n\t\t\t\tif (isValidThinkingLevel(suffix)) {\n\t\t\t\t\tthinkingLevel = suffix;\n\t\t\t\t\tglobPattern = pattern.substring(0, colonIdx);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Match against \"provider/modelId\" format OR just model ID\n\t\t\t// This allows \"*sonnet*\" to match without requiring \"anthropic/*sonnet*\"\n\t\t\tconst matchingModels = availableModels.filter((m) => {\n\t\t\t\tconst fullId = `${m.provider}/${m.id}`;\n\t\t\t\treturn minimatch(fullId, globPattern, { nocase: true }) || minimatch(m.id, globPattern, { nocase: true });\n\t\t\t});\n\n\t\t\tif (matchingModels.length === 0) {\n\t\t\t\tdiagnostics.push({ type: \"warning\", message: `No models match pattern \"${pattern}\"`, pattern });\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tfor (const model of matchingModels) {\n\t\t\t\tif (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {\n\t\t\t\t\tscopedModels.push({ model, thinkingLevel });\n\t\t\t\t}\n\t\t\t}\n\t\t\tcontinue;\n\t\t}\n\n\t\tconst { model, thinkingLevel, warning } = parseModelPattern(pattern, availableModels);\n\n\t\tif (warning) {\n\t\t\tdiagnostics.push({ type: \"warning\", message: warning, pattern });\n\t\t}\n\n\t\tif (!model) {\n\t\t\tdiagnostics.push({ type: \"warning\", message: `No models match pattern \"${pattern}\"`, pattern });\n\t\t\tcontinue;\n\t\t}\n\n\t\t// Avoid duplicates\n\t\tif (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {\n\t\t\tscopedModels.push({ model, thinkingLevel });\n\t\t}\n\t}\n\n\treturn { scopedModels, diagnostics };\n}\n\nexport async function resolveModelScope(patterns: string[], modelRuntime: ModelRuntime): Promise<ScopedModel[]> {\n\tconst { scopedModels, diagnostics } = await resolveModelScopeWithDiagnostics(patterns, modelRuntime);\n\tfor (const diagnostic of diagnostics) {\n\t\tconsole.warn(chalk.yellow(`Warning: ${diagnostic.message}`));\n\t}\n\treturn scopedModels;\n}\n\nexport interface ResolveCliModelResult {\n\tmodel: Model<Api> | undefined;\n\tthinkingLevel?: ThinkingLevel;\n\twarning: string | undefined;\n\t/**\n\t * Error message suitable for CLI display.\n\t * When set, model will be undefined.\n\t */\n\terror: string | undefined;\n}\n\n/**\n * Resolve a single model from CLI flags.\n *\n * Supports:\n * - --provider <provider> --model <pattern>\n * - --model <provider>/<pattern>\n * - Fuzzy matching (same rules as model scoping: exact id, then partial id/name)\n *\n * Note: This does not apply the thinking level by itself, but it may *parse* and\n * return a thinking level from \"<pattern>:<thinking>\" so the caller can apply it.\n */\nexport function resolveCliModel(options: {\n\tcliProvider?: string;\n\tcliModel?: string;\n\tcliThinking?: ThinkingLevel;\n\tmodelRuntime: ModelRuntime;\n}): ResolveCliModelResult {\n\tconst { cliProvider, cliModel, cliThinking, modelRuntime } = options;\n\n\tif (!cliModel) {\n\t\treturn { model: undefined, warning: undefined, error: undefined };\n\t}\n\n\t// Important: use *all* models here, not just models with pre-configured auth.\n\t// This allows \"--api-key\" to be used for first-time setup.\n\tconst availableModels = [...modelRuntime.getModels()];\n\tif (availableModels.length === 0) {\n\t\treturn {\n\t\t\tmodel: undefined,\n\t\t\twarning: undefined,\n\t\t\terror: \"No models available. Check your installation or add models to models.json.\",\n\t\t};\n\t}\n\n\t// Build canonical provider lookup (case-insensitive)\n\tconst providerMap = new Map<string, string>();\n\tfor (const m of availableModels) {\n\t\tproviderMap.set(m.provider.toLowerCase(), m.provider);\n\t}\n\n\tlet provider = cliProvider ? providerMap.get(cliProvider.toLowerCase()) : undefined;\n\tif (cliProvider && !provider) {\n\t\treturn {\n\t\t\tmodel: undefined,\n\t\t\twarning: undefined,\n\t\t\terror: `Unknown provider \"${cliProvider}\". Use --list-models to see available providers/models.`,\n\t\t};\n\t}\n\n\t// If no explicit --provider, try to interpret \"provider/model\" format first.\n\t// When the prefix before the first slash matches a known provider, prefer that\n\t// interpretation over matching models whose IDs literally contain slashes\n\t// (e.g. \"zai/glm-5\" should resolve to provider=zai, model=glm-5, not to a\n\t// vercel-ai-gateway model with id \"zai/glm-5\").\n\tlet pattern = cliModel;\n\tlet inferredProvider = false;\n\n\tif (!provider) {\n\t\tconst slashIndex = cliModel.indexOf(\"/\");\n\t\tif (slashIndex !== -1) {\n\t\t\tconst maybeProvider = cliModel.substring(0, slashIndex);\n\t\t\tconst canonical = providerMap.get(maybeProvider.toLowerCase());\n\t\t\tif (canonical) {\n\t\t\t\tprovider = canonical;\n\t\t\t\tpattern = cliModel.substring(slashIndex + 1);\n\t\t\t\tinferredProvider = true;\n\t\t\t}\n\t\t}\n\t}\n\n\t// If no provider was inferred from the slash, try exact matches without provider inference.\n\t// This handles models whose IDs naturally contain slashes (e.g. OpenRouter-style IDs).\n\tif (!provider) {\n\t\tconst lower = cliModel.toLowerCase();\n\t\tconst exact = availableModels.find(\n\t\t\t(m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower,\n\t\t);\n\t\tif (exact) {\n\t\t\treturn { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };\n\t\t}\n\t}\n\n\tif (cliProvider && provider) {\n\t\t// If both were provided, tolerate --model <provider>/<pattern> by stripping the provider prefix\n\t\tconst prefix = `${provider}/`;\n\t\tif (cliModel.toLowerCase().startsWith(prefix.toLowerCase())) {\n\t\t\tpattern = cliModel.substring(prefix.length);\n\t\t}\n\t}\n\n\tconst candidates = provider ? availableModels.filter((m) => m.provider === provider) : availableModels;\n\tconst { model, thinkingLevel, warning } = parseModelPattern(pattern, candidates, {\n\t\tallowInvalidThinkingLevelFallback: false,\n\t});\n\n\tif (model) {\n\t\t// If provider inference matched an unauthenticated provider/model pair, prefer\n\t\t// one exact raw model-id match that is authenticated. This keeps\n\t\t// \"provider/model\" syntax preferred when usable, but handles models whose\n\t\t// literal id starts with a known provider name (for example\n\t\t// commandcode model id \"xiaomi/mimo-v2.5-pro\").\n\t\tif (inferredProvider) {\n\t\t\tconst rawExactMatches = availableModels.filter(\n\t\t\t\t(m) => m.id.toLowerCase() === cliModel.toLowerCase() && !modelsAreEqual(m, model),\n\t\t\t);\n\t\t\tif (rawExactMatches.length > 0 && !modelRuntime.hasConfiguredAuth(model.provider)) {\n\t\t\t\tconst authenticatedRawMatches = rawExactMatches.filter((m) => modelRuntime.hasConfiguredAuth(m.provider));\n\t\t\t\tif (authenticatedRawMatches.length === 1) {\n\t\t\t\t\treturn {\n\t\t\t\t\t\tmodel: authenticatedRawMatches[0],\n\t\t\t\t\t\tthinkingLevel: undefined,\n\t\t\t\t\t\twarning: undefined,\n\t\t\t\t\t\terror: undefined,\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn { model, thinkingLevel, warning, error: undefined };\n\t}\n\n\t// If we inferred a provider from the slash but found no match within that provider,\n\t// fall back to matching the full input as a raw model id across all models.\n\t// This handles OpenRouter-style IDs like \"openai/gpt-4o:extended\" where \"openai\"\n\t// looks like a provider but the full string is actually a model id on openrouter.\n\tif (inferredProvider) {\n\t\tconst lower = cliModel.toLowerCase();\n\t\tconst exact = availableModels.find(\n\t\t\t(m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower,\n\t\t);\n\t\tif (exact) {\n\t\t\treturn { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };\n\t\t}\n\t\t// Also try parseModelPattern on the full input against all models\n\t\tconst fallback = parseModelPattern(cliModel, availableModels, {\n\t\t\tallowInvalidThinkingLevelFallback: false,\n\t\t});\n\t\tif (fallback.model) {\n\t\t\treturn {\n\t\t\t\tmodel: fallback.model,\n\t\t\t\tthinkingLevel: fallback.thinkingLevel,\n\t\t\t\twarning: fallback.warning,\n\t\t\t\terror: undefined,\n\t\t\t};\n\t\t}\n\t}\n\n\tif (provider) {\n\t\t// Parse thinking level suffix from the pattern before building the fallback model,\n\t\t// but only when --thinking is not explicitly provided.\n\t\t// e.g. \"zai-org/GLM-5.1-FP8:high\" → modelId=\"zai-org/GLM-5.1-FP8\", fallbackThinking=\"high\"\n\t\tlet fallbackPattern = pattern;\n\t\tlet fallbackThinking: ThinkingLevel | undefined;\n\t\tif (!cliThinking) {\n\t\t\tconst lastColon = pattern.lastIndexOf(\":\");\n\t\t\tif (lastColon !== -1) {\n\t\t\t\tconst suffix = pattern.substring(lastColon + 1);\n\t\t\t\tif (isValidThinkingLevel(suffix)) {\n\t\t\t\t\tfallbackPattern = pattern.substring(0, lastColon);\n\t\t\t\t\tfallbackThinking = suffix;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tconst fallbackModel = buildFallbackModel(provider, fallbackPattern, availableModels);\n\t\tif (fallbackModel) {\n\t\t\tconst requestedThinking = cliThinking ?? fallbackThinking;\n\t\t\tconst model =\n\t\t\t\trequestedThinking && requestedThinking !== \"off\" ? { ...fallbackModel, reasoning: true } : fallbackModel;\n\t\t\tconst fallbackWarning = warning\n\t\t\t\t? `${warning} Model \"${fallbackPattern}\" not found for provider \"${provider}\". Using custom model id.`\n\t\t\t\t: `Model \"${fallbackPattern}\" not found for provider \"${provider}\". Using custom model id.`;\n\t\t\treturn { model, thinkingLevel: fallbackThinking, warning: fallbackWarning, error: undefined };\n\t\t}\n\t}\n\n\tconst display = provider ? `${provider}/${pattern}` : cliModel;\n\treturn {\n\t\tmodel: undefined,\n\t\tthinkingLevel: undefined,\n\t\twarning,\n\t\terror: `Model \"${display}\" not found. Use --list-models to see available models.`,\n\t};\n}\n\nexport interface InitialModelResult {\n\tmodel: Model<Api> | undefined;\n\tthinkingLevel: ThinkingLevel;\n\tfallbackMessage: string | undefined;\n}\n\n/**\n * Find the initial model to use based on priority:\n * 1. CLI args (provider + model)\n * 2. First model from scoped models (if not continuing/resuming)\n * 3. Restored from session (if continuing/resuming)\n * 4. Saved default from settings\n * 5. First available model with valid API key\n */\nexport async function findInitialModel(options: {\n\tcliProvider?: string;\n\tcliModel?: string;\n\tscopedModels: ScopedModel[];\n\tisContinuing: boolean;\n\tdefaultProvider?: string;\n\tdefaultModelId?: string;\n\tdefaultThinkingLevel?: ThinkingLevel;\n\tmodelRuntime: ModelRuntime;\n}): Promise<InitialModelResult> {\n\tconst {\n\t\tcliProvider,\n\t\tcliModel,\n\t\tscopedModels,\n\t\tisContinuing,\n\t\tdefaultProvider,\n\t\tdefaultModelId,\n\t\tdefaultThinkingLevel,\n\t\tmodelRuntime,\n\t} = options;\n\n\tlet model: Model<Api> | undefined;\n\tlet thinkingLevel: ThinkingLevel = DEFAULT_THINKING_LEVEL;\n\n\t// 1. CLI args take priority\n\tif (cliProvider && cliModel) {\n\t\tconst resolved = resolveCliModel({\n\t\t\tcliProvider,\n\t\t\tcliModel,\n\t\t\tmodelRuntime,\n\t\t});\n\t\tif (resolved.error) {\n\t\t\tconsole.error(chalk.red(resolved.error));\n\t\t\tprocess.exit(1);\n\t\t}\n\t\tif (resolved.model) {\n\t\t\treturn { model: resolved.model, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t\t}\n\t}\n\n\t// 2. Use first model from scoped models (skip if continuing/resuming)\n\tif (scopedModels.length > 0 && !isContinuing) {\n\t\treturn {\n\t\t\tmodel: scopedModels[0].model,\n\t\t\tthinkingLevel: scopedModels[0].thinkingLevel ?? defaultThinkingLevel ?? DEFAULT_THINKING_LEVEL,\n\t\t\tfallbackMessage: undefined,\n\t\t};\n\t}\n\n\t// 3. Try saved default from settings if auth is configured.\n\tif (defaultProvider && defaultModelId) {\n\t\tconst found = modelRuntime.getModel(defaultProvider, defaultModelId);\n\t\tif (found && modelRuntime.hasConfiguredAuth(found.provider)) {\n\t\t\tmodel = found;\n\t\t\tif (defaultThinkingLevel) {\n\t\t\t\tthinkingLevel = defaultThinkingLevel;\n\t\t\t}\n\t\t\treturn { model, thinkingLevel, fallbackMessage: undefined };\n\t\t}\n\t}\n\n\t// 4. Try first available model with valid API key\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\n\tif (availableModels.length > 0) {\n\t\t// Try to find a default model from known providers\n\t\tfor (const provider of Object.keys(defaultModelPerProvider) as KnownProvider[]) {\n\t\t\tconst defaultId = defaultModelPerProvider[provider];\n\t\t\tconst match = availableModels.find((m) => m.provider === provider && m.id === defaultId);\n\t\t\tif (match) {\n\t\t\t\treturn { model: match, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t\t\t}\n\t\t}\n\n\t\t// If no default found, use first available\n\t\treturn { model: availableModels[0], thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t}\n\n\t// 5. No model found\n\treturn { model: undefined, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n}\n\n/**\n * Restore model from session, with fallback to available models\n */\nexport async function restoreModelFromSession(\n\tsavedProvider: string,\n\tsavedModelId: string,\n\tcurrentModel: Model<Api> | undefined,\n\tshouldPrintMessages: boolean,\n\tmodelRuntime: ModelRuntime,\n): Promise<{ model: Model<Api> | undefined; fallbackMessage: string | undefined }> {\n\tconst restoredModel = modelRuntime.getModel(savedProvider, savedModelId);\n\n\t// Check if restored model exists and still has auth configured\n\tconst hasConfiguredAuth = restoredModel ? modelRuntime.hasConfiguredAuth(restoredModel.provider) : false;\n\n\tif (restoredModel && hasConfiguredAuth) {\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Restored model: ${savedProvider}/${savedModelId}`));\n\t\t}\n\t\treturn { model: restoredModel, fallbackMessage: undefined };\n\t}\n\n\t// Model not found or no API key - fall back\n\tconst reason = !restoredModel ? \"model no longer exists\" : \"no auth configured\";\n\n\tif (shouldPrintMessages) {\n\t\tconsole.error(chalk.yellow(`Warning: Could not restore model ${savedProvider}/${savedModelId} (${reason}).`));\n\t}\n\n\t// If we already have a model, use it as fallback\n\tif (currentModel) {\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Falling back to: ${currentModel.provider}/${currentModel.id}`));\n\t\t}\n\t\treturn {\n\t\t\tmodel: currentModel,\n\t\t\tfallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${currentModel.provider}/${currentModel.id}.`,\n\t\t};\n\t}\n\n\t// Try to find any available model\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\n\tif (availableModels.length > 0) {\n\t\t// Try to find a default model from known providers\n\t\tlet fallbackModel: Model<Api> | undefined;\n\t\tfor (const provider of Object.keys(defaultModelPerProvider) as KnownProvider[]) {\n\t\t\tconst defaultId = defaultModelPerProvider[provider];\n\t\t\tconst match = availableModels.find((m) => m.provider === provider && m.id === defaultId);\n\t\t\tif (match) {\n\t\t\t\tfallbackModel = match;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\t// If no default found, use first available\n\t\tif (!fallbackModel) {\n\t\t\tfallbackModel = availableModels[0];\n\t\t}\n\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Falling back to: ${fallbackModel.provider}/${fallbackModel.id}`));\n\t\t}\n\n\t\treturn {\n\t\t\tmodel: fallbackModel,\n\t\t\tfallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${fallbackModel.provider}/${fallbackModel.id}.`,\n\t\t};\n\t}\n\n\t// No models available\n\treturn { model: undefined, fallbackMessage: undefined };\n}\n"]}

dist/core/model-resolver.js

@@ -25,3 +25,3 @@ /**
     "vercel-ai-gateway": "zai/glm-5.1",
-    xai: "grok-4.20-0309-reasoning",
+    xai: "grok-4.5",
     groq: "openai/gpt-oss-120b",
@@ -28,0 +28,0 @@ cerebras: "zai-glm-4.7",

dist/core/model-resolver.js.map

@@ -1,1 +0,1 @@
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\"gemini-3.1-pro-preview\",\n\t\"github-copilot\": \"gpt-5.4\",\n\topenrouter: \"moonshotai/kimi-k2.6\",\n\t\"vercel-ai-gateway\": \"zai/glm-5.1\",\n\txai: \"grok-4.20-0309-reasoning\",\n\tgroq: \"openai/gpt-oss-120b\",\n\tcerebras: \"zai-glm-4.7\",\n\tzai: \"glm-5.1\",\n\t\"zai-coding-cn\": \"glm-5.1\",\n\tmistral: \"devstral-medium-latest\",\n\tminimax: \"MiniMax-M2.7\",\n\t\"minimax-cn\": \"MiniMax-M2.7\",\n\tmoonshotai: \"kimi-k2.6\",\n\t\"moonshotai-cn\": \"kimi-k2.6\",\n\thuggingface: \"moonshotai/Kimi-K2.6\",\n\tfireworks: \"accounts/fireworks/models/kimi-k2p6\",\n\ttogether: \"moonshotai/Kimi-K2.6\",\n\topencode: \"kimi-k2.6\",\n\t\"opencode-go\": \"kimi-k2.6\",\n\t\"kimi-coding\": \"kimi-for-coding\",\n\t\"cloudflare-workers-ai\": \"@cf/moonshotai/kimi-k2.6\",\n\t\"cloudflare-ai-gateway\": \"workers-ai/@cf/moonshotai/kimi-k2.6\",\n\txiaomi: \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-cn\": \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-ams\": \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-sgp\": \"mimo-v2.5-pro\",\n};\n\nexport interface ScopedModel {\n\tmodel: Model<Api>;\n\t/** Thinking level if explicitly specified in pattern (e.g., \"model:high\"), undefined otherwise */\n\tthinkingLevel?: ThinkingLevel;\n}\n\n/**\n * Helper to check if a model ID looks like an alias (no date suffix)\n * Dates are typically in format: -20241022 or -20250929\n */\nfunction isAlias(id: string): boolean {\n\t// Check if ID ends with -latest\n\tif (id.endsWith(\"-latest\")) return true;\n\n\t// Check if ID ends with a date pattern (-YYYYMMDD)\n\tconst datePattern = /-\\d{8}$/;\n\treturn !datePattern.test(id);\n}\n\n/**\n * Find an exact model reference match.\n * Supports either a bare model id or a canonical provider/modelId reference.\n * When matching by bare id, ambiguous matches across providers are rejected.\n */\nexport function findExactModelReferenceMatch(\n\tmodelReference: string,\n\tavailableModels: Model<Api>[],\n): Model<Api> | undefined {\n\tconst trimmedReference = modelReference.trim();\n\tif (!trimmedReference) {\n\t\treturn undefined;\n\t}\n\n\tconst normalizedReference = trimmedReference.toLowerCase();\n\n\tconst canonicalMatches = availableModels.filter(\n\t\t(model) => `${model.provider}/${model.id}`.toLowerCase() === normalizedReference,\n\t);\n\tif (canonicalMatches.length === 1) {\n\t\treturn canonicalMatches[0];\n\t}\n\tif (canonicalMatches.length > 1) {\n\t\treturn undefined;\n\t}\n\n\tconst slashIndex = trimmedReference.indexOf(\"/\");\n\tif (slashIndex !== -1) {\n\t\tconst provider = trimmedReference.substring(0, slashIndex).trim();\n\t\tconst modelId = trimmedReference.substring(slashIndex + 1).trim();\n\t\tif (provider && modelId) {\n\t\t\tconst providerMatches = availableModels.filter(\n\t\t\t\t(model) =>\n\t\t\t\t\tmodel.provider.toLowerCase() === provider.toLowerCase() &&\n\t\t\t\t\tmodel.id.toLowerCase() === modelId.toLowerCase(),\n\t\t\t);\n\t\t\tif (providerMatches.length === 1) {\n\t\t\t\treturn providerMatches[0];\n\t\t\t}\n\t\t\tif (providerMatches.length > 1) {\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t}\n\t}\n\n\tconst idMatches = availableModels.filter((model) => model.id.toLowerCase() === normalizedReference);\n\treturn idMatches.length === 1 ? idMatches[0] : undefined;\n}\n\n/**\n * Try to match a pattern to a model from the available models list.\n * Returns the matched model or undefined if no match found.\n */\nfunction tryMatchModel(modelPattern: string, availableModels: Model<Api>[]): Model<Api> | undefined {\n\tconst exactMatch = findExactModelReferenceMatch(modelPattern, availableModels);\n\tif (exactMatch) {\n\t\treturn exactMatch;\n\t}\n\n\t// No exact match - fall back to partial matching\n\tconst matches = availableModels.filter(\n\t\t(m) =>\n\t\t\tm.id.toLowerCase().includes(modelPattern.toLowerCase()) ||\n\t\t\tm.name?.toLowerCase().includes(modelPattern.toLowerCase()),\n\t);\n\n\tif (matches.length === 0) {\n\t\treturn undefined;\n\t}\n\n\t// Separate into aliases and dated versions\n\tconst aliases = matches.filter((m) => isAlias(m.id));\n\tconst datedVersions = matches.filter((m) => !isAlias(m.id));\n\n\tif (aliases.length > 0) {\n\t\t// Prefer alias - if multiple aliases, pick the one that sorts highest\n\t\taliases.sort((a, b) => b.id.localeCompare(a.id));\n\t\treturn aliases[0];\n\t} else {\n\t\t// No alias found, pick latest dated version\n\t\tdatedVersions.sort((a, b) => b.id.localeCompare(a.id));\n\t\treturn datedVersions[0];\n\t}\n}\n\nexport interface ParsedModelResult {\n\tmodel: Model<Api> | undefined;\n\t/** Thinking level if explicitly specified in pattern, undefined otherwise */\n\tthinkingLevel?: ThinkingLevel;\n\twarning: string | undefined;\n}\n\nfunction buildFallbackModel(provider: string, modelId: string, availableModels: Model<Api>[]): Model<Api> | undefined {\n\tconst providerModels = availableModels.filter((m) => m.provider === provider);\n\tif (providerModels.length === 0) return undefined;\n\n\tconst defaultId = defaultModelPerProvider[provider as KnownProvider];\n\tconst baseModel = defaultId\n\t\t? (providerModels.find((m) => m.id === defaultId) ?? providerModels[0])\n\t\t: providerModels[0];\n\n\treturn {\n\t\t...baseModel,\n\t\tid: modelId,\n\t\tname: modelId,\n\t};\n}\n\n/**\n * Parse a pattern to extract model and thinking level.\n * Handles models with colons in their IDs (e.g., OpenRouter's :exacto suffix).\n *\n * Algorithm:\n * 1. Try to match full pattern as a model\n * 2. If found, return it with \"off\" thinking level\n * 3. If not found and has colons, split on last colon:\n *    - If suffix is valid thinking level, use it and recurse on prefix\n *    - If suffix is invalid, warn and recurse on prefix with \"off\"\n *\n * @internal Exported for testing\n */\nexport function parseModelPattern(\n\tpattern: string,\n\tavailableModels: Model<Api>[],\n\toptions?: { allowInvalidThinkingLevelFallback?: boolean },\n): ParsedModelResult {\n\t// Try exact match first\n\tconst exactMatch = tryMatchModel(pattern, availableModels);\n\tif (exactMatch) {\n\t\treturn { model: exactMatch, thinkingLevel: undefined, warning: undefined };\n\t}\n\n\t// No match - try splitting on last colon if present\n\tconst lastColonIndex = pattern.lastIndexOf(\":\");\n\tif (lastColonIndex === -1) {\n\t\t// No colons, pattern simply doesn't match any model\n\t\treturn { model: undefined, thinkingLevel: undefined, warning: undefined };\n\t}\n\n\tconst prefix = pattern.substring(0, lastColonIndex);\n\tconst suffix = pattern.substring(lastColonIndex + 1);\n\n\tif (isValidThinkingLevel(suffix)) {\n\t\t// Valid thinking level - recurse on prefix and use this level\n\t\tconst result = parseModelPattern(prefix, availableModels, options);\n\t\tif (result.model) {\n\t\t\t// Only use this thinking level if no warning from inner recursion\n\t\t\treturn {\n\t\t\t\tmodel: result.model,\n\t\t\t\tthinkingLevel: result.warning ? undefined : suffix,\n\t\t\t\twarning: result.warning,\n\t\t\t};\n\t\t}\n\t\treturn result;\n\t} else {\n\t\t// Invalid suffix\n\t\tconst allowFallback = options?.allowInvalidThinkingLevelFallback ?? true;\n\t\tif (!allowFallback) {\n\t\t\t// In strict mode (CLI --model parsing), treat it as part of the model id and fail.\n\t\t\t// This avoids accidentally resolving to a different model.\n\t\t\treturn { model: undefined, thinkingLevel: undefined, warning: undefined };\n\t\t}\n\n\t\t// Scope mode: recurse on prefix and warn\n\t\tconst result = parseModelPattern(prefix, availableModels, options);\n\t\tif (result.model) {\n\t\t\treturn {\n\t\t\t\tmodel: result.model,\n\t\t\t\tthinkingLevel: undefined,\n\t\t\t\twarning: `Invalid thinking level \"${suffix}\" in pattern \"${pattern}\". Using default instead.`,\n\t\t\t};\n\t\t}\n\t\treturn result;\n\t}\n}\n\n/**\n * Resolve model patterns to actual Model objects with optional thinking levels\n * Format: \"pattern:level\" where :level is optional\n * For each pattern, finds all matching models and picks the best version:\n * 1. Prefer alias (e.g., claude-sonnet-4-5) over dated versions (claude-sonnet-4-5-20250929)\n * 2. If no alias, pick the latest dated version\n *\n * Supports models with colons in their IDs (e.g., OpenRouter's model:exacto).\n * The algorithm tries to match the full pattern first, then progressively\n * strips colon-suffixes to find a match.\n */\nexport interface ModelScopeDiagnostic {\n\ttype: \"warning\";\n\tmessage: string;\n\tpattern: string;\n}\n\nexport interface ResolveModelScopeResult {\n\tscopedModels: ScopedModel[];\n\tdiagnostics: ModelScopeDiagnostic[];\n}\n\nexport async function resolveModelScopeWithDiagnostics(\n\tpatterns: string[],\n\tmodelRuntime: ModelRuntime,\n): Promise<ResolveModelScopeResult> {\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\tconst scopedModels: ScopedModel[] = [];\n\tconst diagnostics: ModelScopeDiagnostic[] = [];\n\n\tfor (const pattern of patterns) {\n\t\t// Check if pattern contains glob characters\n\t\tif (pattern.includes(\"*\") || pattern.includes(\"?\") || pattern.includes(\"[\")) {\n\t\t\t// Extract optional thinking level suffix (e.g., \"provider/*:high\")\n\t\t\tconst colonIdx = pattern.lastIndexOf(\":\");\n\t\t\tlet globPattern = pattern;\n\t\t\tlet thinkingLevel: ThinkingLevel | undefined;\n\n\t\t\tif (colonIdx !== -1) {\n\t\t\t\tconst suffix = pattern.substring(colonIdx + 1);\n\t\t\t\tif (isValidThinkingLevel(suffix)) {\n\t\t\t\t\tthinkingLevel = suffix;\n\t\t\t\t\tglobPattern = pattern.substring(0, colonIdx);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Match against \"provider/modelId\" format OR just model ID\n\t\t\t// This allows \"*sonnet*\" to match without requiring \"anthropic/*sonnet*\"\n\t\t\tconst matchingModels = availableModels.filter((m) => {\n\t\t\t\tconst fullId = `${m.provider}/${m.id}`;\n\t\t\t\treturn minimatch(fullId, globPattern, { nocase: true }) || minimatch(m.id, globPattern, { nocase: true });\n\t\t\t});\n\n\t\t\tif (matchingModels.length === 0) {\n\t\t\t\tdiagnostics.push({ type: \"warning\", message: `No models match pattern \"${pattern}\"`, pattern });\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tfor (const model of matchingModels) {\n\t\t\t\tif (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {\n\t\t\t\t\tscopedModels.push({ model, thinkingLevel });\n\t\t\t\t}\n\t\t\t}\n\t\t\tcontinue;\n\t\t}\n\n\t\tconst { model, thinkingLevel, warning } = parseModelPattern(pattern, availableModels);\n\n\t\tif (warning) {\n\t\t\tdiagnostics.push({ type: \"warning\", message: warning, pattern });\n\t\t}\n\n\t\tif (!model) {\n\t\t\tdiagnostics.push({ type: \"warning\", message: `No models match pattern \"${pattern}\"`, pattern });\n\t\t\tcontinue;\n\t\t}\n\n\t\t// Avoid duplicates\n\t\tif (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {\n\t\t\tscopedModels.push({ model, thinkingLevel });\n\t\t}\n\t}\n\n\treturn { scopedModels, diagnostics };\n}\n\nexport async function resolveModelScope(patterns: string[], modelRuntime: ModelRuntime): Promise<ScopedModel[]> {\n\tconst { scopedModels, diagnostics } = await resolveModelScopeWithDiagnostics(patterns, modelRuntime);\n\tfor (const diagnostic of diagnostics) {\n\t\tconsole.warn(chalk.yellow(`Warning: ${diagnostic.message}`));\n\t}\n\treturn scopedModels;\n}\n\nexport interface ResolveCliModelResult {\n\tmodel: Model<Api> | undefined;\n\tthinkingLevel?: ThinkingLevel;\n\twarning: string | undefined;\n\t/**\n\t * Error message suitable for CLI display.\n\t * When set, model will be undefined.\n\t */\n\terror: string | undefined;\n}\n\n/**\n * Resolve a single model from CLI flags.\n *\n * Supports:\n * - --provider <provider> --model <pattern>\n * - --model <provider>/<pattern>\n * - Fuzzy matching (same rules as model scoping: exact id, then partial id/name)\n *\n * Note: This does not apply the thinking level by itself, but it may *parse* and\n * return a thinking level from \"<pattern>:<thinking>\" so the caller can apply it.\n */\nexport function resolveCliModel(options: {\n\tcliProvider?: string;\n\tcliModel?: string;\n\tcliThinking?: ThinkingLevel;\n\tmodelRuntime: ModelRuntime;\n}): ResolveCliModelResult {\n\tconst { cliProvider, cliModel, cliThinking, modelRuntime } = options;\n\n\tif (!cliModel) {\n\t\treturn { model: undefined, warning: undefined, error: undefined };\n\t}\n\n\t// Important: use *all* models here, not just models with pre-configured auth.\n\t// This allows \"--api-key\" to be used for first-time setup.\n\tconst availableModels = [...modelRuntime.getModels()];\n\tif (availableModels.length === 0) {\n\t\treturn {\n\t\t\tmodel: undefined,\n\t\t\twarning: undefined,\n\t\t\terror: \"No models available. Check your installation or add models to models.json.\",\n\t\t};\n\t}\n\n\t// Build canonical provider lookup (case-insensitive)\n\tconst providerMap = new Map<string, string>();\n\tfor (const m of availableModels) {\n\t\tproviderMap.set(m.provider.toLowerCase(), m.provider);\n\t}\n\n\tlet provider = cliProvider ? providerMap.get(cliProvider.toLowerCase()) : undefined;\n\tif (cliProvider && !provider) {\n\t\treturn {\n\t\t\tmodel: undefined,\n\t\t\twarning: undefined,\n\t\t\terror: `Unknown provider \"${cliProvider}\". Use --list-models to see available providers/models.`,\n\t\t};\n\t}\n\n\t// If no explicit --provider, try to interpret \"provider/model\" format first.\n\t// When the prefix before the first slash matches a known provider, prefer that\n\t// interpretation over matching models whose IDs literally contain slashes\n\t// (e.g. \"zai/glm-5\" should resolve to provider=zai, model=glm-5, not to a\n\t// vercel-ai-gateway model with id \"zai/glm-5\").\n\tlet pattern = cliModel;\n\tlet inferredProvider = false;\n\n\tif (!provider) {\n\t\tconst slashIndex = cliModel.indexOf(\"/\");\n\t\tif (slashIndex !== -1) {\n\t\t\tconst maybeProvider = cliModel.substring(0, slashIndex);\n\t\t\tconst canonical = providerMap.get(maybeProvider.toLowerCase());\n\t\t\tif (canonical) {\n\t\t\t\tprovider = canonical;\n\t\t\t\tpattern = cliModel.substring(slashIndex + 1);\n\t\t\t\tinferredProvider = true;\n\t\t\t}\n\t\t}\n\t}\n\n\t// If no provider was inferred from the slash, try exact matches without provider inference.\n\t// This handles models whose IDs naturally contain slashes (e.g. OpenRouter-style IDs).\n\tif (!provider) {\n\t\tconst lower = cliModel.toLowerCase();\n\t\tconst exact = availableModels.find(\n\t\t\t(m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower,\n\t\t);\n\t\tif (exact) {\n\t\t\treturn { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };\n\t\t}\n\t}\n\n\tif (cliProvider && provider) {\n\t\t// If both were provided, tolerate --model <provider>/<pattern> by stripping the provider prefix\n\t\tconst prefix = `${provider}/`;\n\t\tif (cliModel.toLowerCase().startsWith(prefix.toLowerCase())) {\n\t\t\tpattern = cliModel.substring(prefix.length);\n\t\t}\n\t}\n\n\tconst candidates = provider ? availableModels.filter((m) => m.provider === provider) : availableModels;\n\tconst { model, thinkingLevel, warning } = parseModelPattern(pattern, candidates, {\n\t\tallowInvalidThinkingLevelFallback: false,\n\t});\n\n\tif (model) {\n\t\t// If provider inference matched an unauthenticated provider/model pair, prefer\n\t\t// one exact raw model-id match that is authenticated. This keeps\n\t\t// \"provider/model\" syntax preferred when usable, but handles models whose\n\t\t// literal id starts with a known provider name (for example\n\t\t// commandcode model id \"xiaomi/mimo-v2.5-pro\").\n\t\tif (inferredProvider) {\n\t\t\tconst rawExactMatches = availableModels.filter(\n\t\t\t\t(m) => m.id.toLowerCase() === cliModel.toLowerCase() && !modelsAreEqual(m, model),\n\t\t\t);\n\t\t\tif (rawExactMatches.length > 0 && !modelRuntime.hasConfiguredAuth(model.provider)) {\n\t\t\t\tconst authenticatedRawMatches = rawExactMatches.filter((m) => modelRuntime.hasConfiguredAuth(m.provider));\n\t\t\t\tif (authenticatedRawMatches.length === 1) {\n\t\t\t\t\treturn {\n\t\t\t\t\t\tmodel: authenticatedRawMatches[0],\n\t\t\t\t\t\tthinkingLevel: undefined,\n\t\t\t\t\t\twarning: undefined,\n\t\t\t\t\t\terror: undefined,\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn { model, thinkingLevel, warning, error: undefined };\n\t}\n\n\t// If we inferred a provider from the slash but found no match within that provider,\n\t// fall back to matching the full input as a raw model id across all models.\n\t// This handles OpenRouter-style IDs like \"openai/gpt-4o:extended\" where \"openai\"\n\t// looks like a provider but the full string is actually a model id on openrouter.\n\tif (inferredProvider) {\n\t\tconst lower = cliModel.toLowerCase();\n\t\tconst exact = availableModels.find(\n\t\t\t(m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower,\n\t\t);\n\t\tif (exact) {\n\t\t\treturn { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };\n\t\t}\n\t\t// Also try parseModelPattern on the full input against all models\n\t\tconst fallback = parseModelPattern(cliModel, availableModels, {\n\t\t\tallowInvalidThinkingLevelFallback: false,\n\t\t});\n\t\tif (fallback.model) {\n\t\t\treturn {\n\t\t\t\tmodel: fallback.model,\n\t\t\t\tthinkingLevel: fallback.thinkingLevel,\n\t\t\t\twarning: fallback.warning,\n\t\t\t\terror: undefined,\n\t\t\t};\n\t\t}\n\t}\n\n\tif (provider) {\n\t\t// Parse thinking level suffix from the pattern before building the fallback model,\n\t\t// but only when --thinking is not explicitly provided.\n\t\t// e.g. \"zai-org/GLM-5.1-FP8:high\" → modelId=\"zai-org/GLM-5.1-FP8\", fallbackThinking=\"high\"\n\t\tlet fallbackPattern = pattern;\n\t\tlet fallbackThinking: ThinkingLevel | undefined;\n\t\tif (!cliThinking) {\n\t\t\tconst lastColon = pattern.lastIndexOf(\":\");\n\t\t\tif (lastColon !== -1) {\n\t\t\t\tconst suffix = pattern.substring(lastColon + 1);\n\t\t\t\tif (isValidThinkingLevel(suffix)) {\n\t\t\t\t\tfallbackPattern = pattern.substring(0, lastColon);\n\t\t\t\t\tfallbackThinking = suffix;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tconst fallbackModel = buildFallbackModel(provider, fallbackPattern, availableModels);\n\t\tif (fallbackModel) {\n\t\t\tconst requestedThinking = cliThinking ?? fallbackThinking;\n\t\t\tconst model =\n\t\t\t\trequestedThinking && requestedThinking !== \"off\" ? { ...fallbackModel, reasoning: true } : fallbackModel;\n\t\t\tconst fallbackWarning = warning\n\t\t\t\t? `${warning} Model \"${fallbackPattern}\" not found for provider \"${provider}\". Using custom model id.`\n\t\t\t\t: `Model \"${fallbackPattern}\" not found for provider \"${provider}\". Using custom model id.`;\n\t\t\treturn { model, thinkingLevel: fallbackThinking, warning: fallbackWarning, error: undefined };\n\t\t}\n\t}\n\n\tconst display = provider ? `${provider}/${pattern}` : cliModel;\n\treturn {\n\t\tmodel: undefined,\n\t\tthinkingLevel: undefined,\n\t\twarning,\n\t\terror: `Model \"${display}\" not found. Use --list-models to see available models.`,\n\t};\n}\n\nexport interface InitialModelResult {\n\tmodel: Model<Api> | undefined;\n\tthinkingLevel: ThinkingLevel;\n\tfallbackMessage: string | undefined;\n}\n\n/**\n * Find the initial model to use based on priority:\n * 1. CLI args (provider + model)\n * 2. First model from scoped models (if not continuing/resuming)\n * 3. Restored from session (if continuing/resuming)\n * 4. Saved default from settings\n * 5. First available model with valid API key\n */\nexport async function findInitialModel(options: {\n\tcliProvider?: string;\n\tcliModel?: string;\n\tscopedModels: ScopedModel[];\n\tisContinuing: boolean;\n\tdefaultProvider?: string;\n\tdefaultModelId?: string;\n\tdefaultThinkingLevel?: ThinkingLevel;\n\tmodelRuntime: ModelRuntime;\n}): Promise<InitialModelResult> {\n\tconst {\n\t\tcliProvider,\n\t\tcliModel,\n\t\tscopedModels,\n\t\tisContinuing,\n\t\tdefaultProvider,\n\t\tdefaultModelId,\n\t\tdefaultThinkingLevel,\n\t\tmodelRuntime,\n\t} = options;\n\n\tlet model: Model<Api> | undefined;\n\tlet thinkingLevel: ThinkingLevel = DEFAULT_THINKING_LEVEL;\n\n\t// 1. CLI args take priority\n\tif (cliProvider && cliModel) {\n\t\tconst resolved = resolveCliModel({\n\t\t\tcliProvider,\n\t\t\tcliModel,\n\t\t\tmodelRuntime,\n\t\t});\n\t\tif (resolved.error) {\n\t\t\tconsole.error(chalk.red(resolved.error));\n\t\t\tprocess.exit(1);\n\t\t}\n\t\tif (resolved.model) {\n\t\t\treturn { model: resolved.model, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t\t}\n\t}\n\n\t// 2. Use first model from scoped models (skip if continuing/resuming)\n\tif (scopedModels.length > 0 && !isContinuing) {\n\t\treturn {\n\t\t\tmodel: scopedModels[0].model,\n\t\t\tthinkingLevel: scopedModels[0].thinkingLevel ?? defaultThinkingLevel ?? DEFAULT_THINKING_LEVEL,\n\t\t\tfallbackMessage: undefined,\n\t\t};\n\t}\n\n\t// 3. Try saved default from settings if auth is configured.\n\tif (defaultProvider && defaultModelId) {\n\t\tconst found = modelRuntime.getModel(defaultProvider, defaultModelId);\n\t\tif (found && modelRuntime.hasConfiguredAuth(found.provider)) {\n\t\t\tmodel = found;\n\t\t\tif (defaultThinkingLevel) {\n\t\t\t\tthinkingLevel = defaultThinkingLevel;\n\t\t\t}\n\t\t\treturn { model, thinkingLevel, fallbackMessage: undefined };\n\t\t}\n\t}\n\n\t// 4. Try first available model with valid API key\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\n\tif (availableModels.length > 0) {\n\t\t// Try to find a default model from known providers\n\t\tfor (const provider of Object.keys(defaultModelPerProvider) as KnownProvider[]) {\n\t\t\tconst defaultId = defaultModelPerProvider[provider];\n\t\t\tconst match = availableModels.find((m) => m.provider === provider && m.id === defaultId);\n\t\t\tif (match) {\n\t\t\t\treturn { model: match, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t\t\t}\n\t\t}\n\n\t\t// If no default found, use first available\n\t\treturn { model: availableModels[0], thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t}\n\n\t// 5. No model found\n\treturn { model: undefined, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n}\n\n/**\n * Restore model from session, with fallback to available models\n */\nexport async function restoreModelFromSession(\n\tsavedProvider: string,\n\tsavedModelId: string,\n\tcurrentModel: Model<Api> | undefined,\n\tshouldPrintMessages: boolean,\n\tmodelRuntime: ModelRuntime,\n): Promise<{ model: Model<Api> | undefined; fallbackMessage: string | undefined }> {\n\tconst restoredModel = modelRuntime.getModel(savedProvider, savedModelId);\n\n\t// Check if restored model exists and still has auth configured\n\tconst hasConfiguredAuth = restoredModel ? modelRuntime.hasConfiguredAuth(restoredModel.provider) : false;\n\n\tif (restoredModel && hasConfiguredAuth) {\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Restored model: ${savedProvider}/${savedModelId}`));\n\t\t}\n\t\treturn { model: restoredModel, fallbackMessage: undefined };\n\t}\n\n\t// Model not found or no API key - fall back\n\tconst reason = !restoredModel ? \"model no longer exists\" : \"no auth configured\";\n\n\tif (shouldPrintMessages) {\n\t\tconsole.error(chalk.yellow(`Warning: Could not restore model ${savedProvider}/${savedModelId} (${reason}).`));\n\t}\n\n\t// If we already have a model, use it as fallback\n\tif (currentModel) {\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Falling back to: ${currentModel.provider}/${currentModel.id}`));\n\t\t}\n\t\treturn {\n\t\t\tmodel: currentModel,\n\t\t\tfallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${currentModel.provider}/${currentModel.id}.`,\n\t\t};\n\t}\n\n\t// Try to find any available model\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\n\tif (availableModels.length > 0) {\n\t\t// Try to find a default model from known providers\n\t\tlet fallbackModel: Model<Api> | undefined;\n\t\tfor (const provider of Object.keys(defaultModelPerProvider) as KnownProvider[]) {\n\t\t\tconst defaultId = defaultModelPerProvider[provider];\n\t\t\tconst match = availableModels.find((m) => m.provider === provider && m.id === defaultId);\n\t\t\tif (match) {\n\t\t\t\tfallbackModel = match;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\t// If no default found, use first available\n\t\tif (!fallbackModel) {\n\t\t\tfallbackModel = availableModels[0];\n\t\t}\n\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Falling back to: ${fallbackModel.provider}/${fallbackModel.id}`));\n\t\t}\n\n\t\treturn {\n\t\t\tmodel: fallbackModel,\n\t\t\tfallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${fallbackModel.provider}/${fallbackModel.id}.`,\n\t\t};\n\t}\n\n\t// No models available\n\treturn { model: undefined, fallbackMessage: undefined };\n}\n"]}
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\"gemini-3.1-pro-preview\",\n\t\"github-copilot\": \"gpt-5.4\",\n\topenrouter: \"moonshotai/kimi-k2.6\",\n\t\"vercel-ai-gateway\": \"zai/glm-5.1\",\n\txai: \"grok-4.5\",\n\tgroq: \"openai/gpt-oss-120b\",\n\tcerebras: \"zai-glm-4.7\",\n\tzai: \"glm-5.1\",\n\t\"zai-coding-cn\": \"glm-5.1\",\n\tmistral: \"devstral-medium-latest\",\n\tminimax: \"MiniMax-M2.7\",\n\t\"minimax-cn\": \"MiniMax-M2.7\",\n\tmoonshotai: \"kimi-k2.6\",\n\t\"moonshotai-cn\": \"kimi-k2.6\",\n\thuggingface: \"moonshotai/Kimi-K2.6\",\n\tfireworks: \"accounts/fireworks/models/kimi-k2p6\",\n\ttogether: \"moonshotai/Kimi-K2.6\",\n\topencode: \"kimi-k2.6\",\n\t\"opencode-go\": \"kimi-k2.6\",\n\t\"kimi-coding\": \"kimi-for-coding\",\n\t\"cloudflare-workers-ai\": \"@cf/moonshotai/kimi-k2.6\",\n\t\"cloudflare-ai-gateway\": \"workers-ai/@cf/moonshotai/kimi-k2.6\",\n\txiaomi: \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-cn\": \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-ams\": \"mimo-v2.5-pro\",\n\t\"xiaomi-token-plan-sgp\": \"mimo-v2.5-pro\",\n};\n\nexport interface ScopedModel {\n\tmodel: Model<Api>;\n\t/** Thinking level if explicitly specified in pattern (e.g., \"model:high\"), undefined otherwise */\n\tthinkingLevel?: ThinkingLevel;\n}\n\n/**\n * Helper to check if a model ID looks like an alias (no date suffix)\n * Dates are typically in format: -20241022 or -20250929\n */\nfunction isAlias(id: string): boolean {\n\t// Check if ID ends with -latest\n\tif (id.endsWith(\"-latest\")) return true;\n\n\t// Check if ID ends with a date pattern (-YYYYMMDD)\n\tconst datePattern = /-\\d{8}$/;\n\treturn !datePattern.test(id);\n}\n\n/**\n * Find an exact model reference match.\n * Supports either a bare model id or a canonical provider/modelId reference.\n * When matching by bare id, ambiguous matches across providers are rejected.\n */\nexport function findExactModelReferenceMatch(\n\tmodelReference: string,\n\tavailableModels: Model<Api>[],\n): Model<Api> | undefined {\n\tconst trimmedReference = modelReference.trim();\n\tif (!trimmedReference) {\n\t\treturn undefined;\n\t}\n\n\tconst normalizedReference = trimmedReference.toLowerCase();\n\n\tconst canonicalMatches = availableModels.filter(\n\t\t(model) => `${model.provider}/${model.id}`.toLowerCase() === normalizedReference,\n\t);\n\tif (canonicalMatches.length === 1) {\n\t\treturn canonicalMatches[0];\n\t}\n\tif (canonicalMatches.length > 1) {\n\t\treturn undefined;\n\t}\n\n\tconst slashIndex = trimmedReference.indexOf(\"/\");\n\tif (slashIndex !== -1) {\n\t\tconst provider = trimmedReference.substring(0, slashIndex).trim();\n\t\tconst modelId = trimmedReference.substring(slashIndex + 1).trim();\n\t\tif (provider && modelId) {\n\t\t\tconst providerMatches = availableModels.filter(\n\t\t\t\t(model) =>\n\t\t\t\t\tmodel.provider.toLowerCase() === provider.toLowerCase() &&\n\t\t\t\t\tmodel.id.toLowerCase() === modelId.toLowerCase(),\n\t\t\t);\n\t\t\tif (providerMatches.length === 1) {\n\t\t\t\treturn providerMatches[0];\n\t\t\t}\n\t\t\tif (providerMatches.length > 1) {\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t}\n\t}\n\n\tconst idMatches = availableModels.filter((model) => model.id.toLowerCase() === normalizedReference);\n\treturn idMatches.length === 1 ? idMatches[0] : undefined;\n}\n\n/**\n * Try to match a pattern to a model from the available models list.\n * Returns the matched model or undefined if no match found.\n */\nfunction tryMatchModel(modelPattern: string, availableModels: Model<Api>[]): Model<Api> | undefined {\n\tconst exactMatch = findExactModelReferenceMatch(modelPattern, availableModels);\n\tif (exactMatch) {\n\t\treturn exactMatch;\n\t}\n\n\t// No exact match - fall back to partial matching\n\tconst matches = availableModels.filter(\n\t\t(m) =>\n\t\t\tm.id.toLowerCase().includes(modelPattern.toLowerCase()) ||\n\t\t\tm.name?.toLowerCase().includes(modelPattern.toLowerCase()),\n\t);\n\n\tif (matches.length === 0) {\n\t\treturn undefined;\n\t}\n\n\t// Separate into aliases and dated versions\n\tconst aliases = matches.filter((m) => isAlias(m.id));\n\tconst datedVersions = matches.filter((m) => !isAlias(m.id));\n\n\tif (aliases.length > 0) {\n\t\t// Prefer alias - if multiple aliases, pick the one that sorts highest\n\t\taliases.sort((a, b) => b.id.localeCompare(a.id));\n\t\treturn aliases[0];\n\t} else {\n\t\t// No alias found, pick latest dated version\n\t\tdatedVersions.sort((a, b) => b.id.localeCompare(a.id));\n\t\treturn datedVersions[0];\n\t}\n}\n\nexport interface ParsedModelResult {\n\tmodel: Model<Api> | undefined;\n\t/** Thinking level if explicitly specified in pattern, undefined otherwise */\n\tthinkingLevel?: ThinkingLevel;\n\twarning: string | undefined;\n}\n\nfunction buildFallbackModel(provider: string, modelId: string, availableModels: Model<Api>[]): Model<Api> | undefined {\n\tconst providerModels = availableModels.filter((m) => m.provider === provider);\n\tif (providerModels.length === 0) return undefined;\n\n\tconst defaultId = defaultModelPerProvider[provider as KnownProvider];\n\tconst baseModel = defaultId\n\t\t? (providerModels.find((m) => m.id === defaultId) ?? providerModels[0])\n\t\t: providerModels[0];\n\n\treturn {\n\t\t...baseModel,\n\t\tid: modelId,\n\t\tname: modelId,\n\t};\n}\n\n/**\n * Parse a pattern to extract model and thinking level.\n * Handles models with colons in their IDs (e.g., OpenRouter's :exacto suffix).\n *\n * Algorithm:\n * 1. Try to match full pattern as a model\n * 2. If found, return it with \"off\" thinking level\n * 3. If not found and has colons, split on last colon:\n *    - If suffix is valid thinking level, use it and recurse on prefix\n *    - If suffix is invalid, warn and recurse on prefix with \"off\"\n *\n * @internal Exported for testing\n */\nexport function parseModelPattern(\n\tpattern: string,\n\tavailableModels: Model<Api>[],\n\toptions?: { allowInvalidThinkingLevelFallback?: boolean },\n): ParsedModelResult {\n\t// Try exact match first\n\tconst exactMatch = tryMatchModel(pattern, availableModels);\n\tif (exactMatch) {\n\t\treturn { model: exactMatch, thinkingLevel: undefined, warning: undefined };\n\t}\n\n\t// No match - try splitting on last colon if present\n\tconst lastColonIndex = pattern.lastIndexOf(\":\");\n\tif (lastColonIndex === -1) {\n\t\t// No colons, pattern simply doesn't match any model\n\t\treturn { model: undefined, thinkingLevel: undefined, warning: undefined };\n\t}\n\n\tconst prefix = pattern.substring(0, lastColonIndex);\n\tconst suffix = pattern.substring(lastColonIndex + 1);\n\n\tif (isValidThinkingLevel(suffix)) {\n\t\t// Valid thinking level - recurse on prefix and use this level\n\t\tconst result = parseModelPattern(prefix, availableModels, options);\n\t\tif (result.model) {\n\t\t\t// Only use this thinking level if no warning from inner recursion\n\t\t\treturn {\n\t\t\t\tmodel: result.model,\n\t\t\t\tthinkingLevel: result.warning ? undefined : suffix,\n\t\t\t\twarning: result.warning,\n\t\t\t};\n\t\t}\n\t\treturn result;\n\t} else {\n\t\t// Invalid suffix\n\t\tconst allowFallback = options?.allowInvalidThinkingLevelFallback ?? true;\n\t\tif (!allowFallback) {\n\t\t\t// In strict mode (CLI --model parsing), treat it as part of the model id and fail.\n\t\t\t// This avoids accidentally resolving to a different model.\n\t\t\treturn { model: undefined, thinkingLevel: undefined, warning: undefined };\n\t\t}\n\n\t\t// Scope mode: recurse on prefix and warn\n\t\tconst result = parseModelPattern(prefix, availableModels, options);\n\t\tif (result.model) {\n\t\t\treturn {\n\t\t\t\tmodel: result.model,\n\t\t\t\tthinkingLevel: undefined,\n\t\t\t\twarning: `Invalid thinking level \"${suffix}\" in pattern \"${pattern}\". Using default instead.`,\n\t\t\t};\n\t\t}\n\t\treturn result;\n\t}\n}\n\n/**\n * Resolve model patterns to actual Model objects with optional thinking levels\n * Format: \"pattern:level\" where :level is optional\n * For each pattern, finds all matching models and picks the best version:\n * 1. Prefer alias (e.g., claude-sonnet-4-5) over dated versions (claude-sonnet-4-5-20250929)\n * 2. If no alias, pick the latest dated version\n *\n * Supports models with colons in their IDs (e.g., OpenRouter's model:exacto).\n * The algorithm tries to match the full pattern first, then progressively\n * strips colon-suffixes to find a match.\n */\nexport interface ModelScopeDiagnostic {\n\ttype: \"warning\";\n\tmessage: string;\n\tpattern: string;\n}\n\nexport interface ResolveModelScopeResult {\n\tscopedModels: ScopedModel[];\n\tdiagnostics: ModelScopeDiagnostic[];\n}\n\nexport async function resolveModelScopeWithDiagnostics(\n\tpatterns: string[],\n\tmodelRuntime: ModelRuntime,\n): Promise<ResolveModelScopeResult> {\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\tconst scopedModels: ScopedModel[] = [];\n\tconst diagnostics: ModelScopeDiagnostic[] = [];\n\n\tfor (const pattern of patterns) {\n\t\t// Check if pattern contains glob characters\n\t\tif (pattern.includes(\"*\") || pattern.includes(\"?\") || pattern.includes(\"[\")) {\n\t\t\t// Extract optional thinking level suffix (e.g., \"provider/*:high\")\n\t\t\tconst colonIdx = pattern.lastIndexOf(\":\");\n\t\t\tlet globPattern = pattern;\n\t\t\tlet thinkingLevel: ThinkingLevel | undefined;\n\n\t\t\tif (colonIdx !== -1) {\n\t\t\t\tconst suffix = pattern.substring(colonIdx + 1);\n\t\t\t\tif (isValidThinkingLevel(suffix)) {\n\t\t\t\t\tthinkingLevel = suffix;\n\t\t\t\t\tglobPattern = pattern.substring(0, colonIdx);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t// Match against \"provider/modelId\" format OR just model ID\n\t\t\t// This allows \"*sonnet*\" to match without requiring \"anthropic/*sonnet*\"\n\t\t\tconst matchingModels = availableModels.filter((m) => {\n\t\t\t\tconst fullId = `${m.provider}/${m.id}`;\n\t\t\t\treturn minimatch(fullId, globPattern, { nocase: true }) || minimatch(m.id, globPattern, { nocase: true });\n\t\t\t});\n\n\t\t\tif (matchingModels.length === 0) {\n\t\t\t\tdiagnostics.push({ type: \"warning\", message: `No models match pattern \"${pattern}\"`, pattern });\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tfor (const model of matchingModels) {\n\t\t\t\tif (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {\n\t\t\t\t\tscopedModels.push({ model, thinkingLevel });\n\t\t\t\t}\n\t\t\t}\n\t\t\tcontinue;\n\t\t}\n\n\t\tconst { model, thinkingLevel, warning } = parseModelPattern(pattern, availableModels);\n\n\t\tif (warning) {\n\t\t\tdiagnostics.push({ type: \"warning\", message: warning, pattern });\n\t\t}\n\n\t\tif (!model) {\n\t\t\tdiagnostics.push({ type: \"warning\", message: `No models match pattern \"${pattern}\"`, pattern });\n\t\t\tcontinue;\n\t\t}\n\n\t\t// Avoid duplicates\n\t\tif (!scopedModels.find((sm) => modelsAreEqual(sm.model, model))) {\n\t\t\tscopedModels.push({ model, thinkingLevel });\n\t\t}\n\t}\n\n\treturn { scopedModels, diagnostics };\n}\n\nexport async function resolveModelScope(patterns: string[], modelRuntime: ModelRuntime): Promise<ScopedModel[]> {\n\tconst { scopedModels, diagnostics } = await resolveModelScopeWithDiagnostics(patterns, modelRuntime);\n\tfor (const diagnostic of diagnostics) {\n\t\tconsole.warn(chalk.yellow(`Warning: ${diagnostic.message}`));\n\t}\n\treturn scopedModels;\n}\n\nexport interface ResolveCliModelResult {\n\tmodel: Model<Api> | undefined;\n\tthinkingLevel?: ThinkingLevel;\n\twarning: string | undefined;\n\t/**\n\t * Error message suitable for CLI display.\n\t * When set, model will be undefined.\n\t */\n\terror: string | undefined;\n}\n\n/**\n * Resolve a single model from CLI flags.\n *\n * Supports:\n * - --provider <provider> --model <pattern>\n * - --model <provider>/<pattern>\n * - Fuzzy matching (same rules as model scoping: exact id, then partial id/name)\n *\n * Note: This does not apply the thinking level by itself, but it may *parse* and\n * return a thinking level from \"<pattern>:<thinking>\" so the caller can apply it.\n */\nexport function resolveCliModel(options: {\n\tcliProvider?: string;\n\tcliModel?: string;\n\tcliThinking?: ThinkingLevel;\n\tmodelRuntime: ModelRuntime;\n}): ResolveCliModelResult {\n\tconst { cliProvider, cliModel, cliThinking, modelRuntime } = options;\n\n\tif (!cliModel) {\n\t\treturn { model: undefined, warning: undefined, error: undefined };\n\t}\n\n\t// Important: use *all* models here, not just models with pre-configured auth.\n\t// This allows \"--api-key\" to be used for first-time setup.\n\tconst availableModels = [...modelRuntime.getModels()];\n\tif (availableModels.length === 0) {\n\t\treturn {\n\t\t\tmodel: undefined,\n\t\t\twarning: undefined,\n\t\t\terror: \"No models available. Check your installation or add models to models.json.\",\n\t\t};\n\t}\n\n\t// Build canonical provider lookup (case-insensitive)\n\tconst providerMap = new Map<string, string>();\n\tfor (const m of availableModels) {\n\t\tproviderMap.set(m.provider.toLowerCase(), m.provider);\n\t}\n\n\tlet provider = cliProvider ? providerMap.get(cliProvider.toLowerCase()) : undefined;\n\tif (cliProvider && !provider) {\n\t\treturn {\n\t\t\tmodel: undefined,\n\t\t\twarning: undefined,\n\t\t\terror: `Unknown provider \"${cliProvider}\". Use --list-models to see available providers/models.`,\n\t\t};\n\t}\n\n\t// If no explicit --provider, try to interpret \"provider/model\" format first.\n\t// When the prefix before the first slash matches a known provider, prefer that\n\t// interpretation over matching models whose IDs literally contain slashes\n\t// (e.g. \"zai/glm-5\" should resolve to provider=zai, model=glm-5, not to a\n\t// vercel-ai-gateway model with id \"zai/glm-5\").\n\tlet pattern = cliModel;\n\tlet inferredProvider = false;\n\n\tif (!provider) {\n\t\tconst slashIndex = cliModel.indexOf(\"/\");\n\t\tif (slashIndex !== -1) {\n\t\t\tconst maybeProvider = cliModel.substring(0, slashIndex);\n\t\t\tconst canonical = providerMap.get(maybeProvider.toLowerCase());\n\t\t\tif (canonical) {\n\t\t\t\tprovider = canonical;\n\t\t\t\tpattern = cliModel.substring(slashIndex + 1);\n\t\t\t\tinferredProvider = true;\n\t\t\t}\n\t\t}\n\t}\n\n\t// If no provider was inferred from the slash, try exact matches without provider inference.\n\t// This handles models whose IDs naturally contain slashes (e.g. OpenRouter-style IDs).\n\tif (!provider) {\n\t\tconst lower = cliModel.toLowerCase();\n\t\tconst exact = availableModels.find(\n\t\t\t(m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower,\n\t\t);\n\t\tif (exact) {\n\t\t\treturn { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };\n\t\t}\n\t}\n\n\tif (cliProvider && provider) {\n\t\t// If both were provided, tolerate --model <provider>/<pattern> by stripping the provider prefix\n\t\tconst prefix = `${provider}/`;\n\t\tif (cliModel.toLowerCase().startsWith(prefix.toLowerCase())) {\n\t\t\tpattern = cliModel.substring(prefix.length);\n\t\t}\n\t}\n\n\tconst candidates = provider ? availableModels.filter((m) => m.provider === provider) : availableModels;\n\tconst { model, thinkingLevel, warning } = parseModelPattern(pattern, candidates, {\n\t\tallowInvalidThinkingLevelFallback: false,\n\t});\n\n\tif (model) {\n\t\t// If provider inference matched an unauthenticated provider/model pair, prefer\n\t\t// one exact raw model-id match that is authenticated. This keeps\n\t\t// \"provider/model\" syntax preferred when usable, but handles models whose\n\t\t// literal id starts with a known provider name (for example\n\t\t// commandcode model id \"xiaomi/mimo-v2.5-pro\").\n\t\tif (inferredProvider) {\n\t\t\tconst rawExactMatches = availableModels.filter(\n\t\t\t\t(m) => m.id.toLowerCase() === cliModel.toLowerCase() && !modelsAreEqual(m, model),\n\t\t\t);\n\t\t\tif (rawExactMatches.length > 0 && !modelRuntime.hasConfiguredAuth(model.provider)) {\n\t\t\t\tconst authenticatedRawMatches = rawExactMatches.filter((m) => modelRuntime.hasConfiguredAuth(m.provider));\n\t\t\t\tif (authenticatedRawMatches.length === 1) {\n\t\t\t\t\treturn {\n\t\t\t\t\t\tmodel: authenticatedRawMatches[0],\n\t\t\t\t\t\tthinkingLevel: undefined,\n\t\t\t\t\t\twarning: undefined,\n\t\t\t\t\t\terror: undefined,\n\t\t\t\t\t};\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\treturn { model, thinkingLevel, warning, error: undefined };\n\t}\n\n\t// If we inferred a provider from the slash but found no match within that provider,\n\t// fall back to matching the full input as a raw model id across all models.\n\t// This handles OpenRouter-style IDs like \"openai/gpt-4o:extended\" where \"openai\"\n\t// looks like a provider but the full string is actually a model id on openrouter.\n\tif (inferredProvider) {\n\t\tconst lower = cliModel.toLowerCase();\n\t\tconst exact = availableModels.find(\n\t\t\t(m) => m.id.toLowerCase() === lower || `${m.provider}/${m.id}`.toLowerCase() === lower,\n\t\t);\n\t\tif (exact) {\n\t\t\treturn { model: exact, warning: undefined, thinkingLevel: undefined, error: undefined };\n\t\t}\n\t\t// Also try parseModelPattern on the full input against all models\n\t\tconst fallback = parseModelPattern(cliModel, availableModels, {\n\t\t\tallowInvalidThinkingLevelFallback: false,\n\t\t});\n\t\tif (fallback.model) {\n\t\t\treturn {\n\t\t\t\tmodel: fallback.model,\n\t\t\t\tthinkingLevel: fallback.thinkingLevel,\n\t\t\t\twarning: fallback.warning,\n\t\t\t\terror: undefined,\n\t\t\t};\n\t\t}\n\t}\n\n\tif (provider) {\n\t\t// Parse thinking level suffix from the pattern before building the fallback model,\n\t\t// but only when --thinking is not explicitly provided.\n\t\t// e.g. \"zai-org/GLM-5.1-FP8:high\" → modelId=\"zai-org/GLM-5.1-FP8\", fallbackThinking=\"high\"\n\t\tlet fallbackPattern = pattern;\n\t\tlet fallbackThinking: ThinkingLevel | undefined;\n\t\tif (!cliThinking) {\n\t\t\tconst lastColon = pattern.lastIndexOf(\":\");\n\t\t\tif (lastColon !== -1) {\n\t\t\t\tconst suffix = pattern.substring(lastColon + 1);\n\t\t\t\tif (isValidThinkingLevel(suffix)) {\n\t\t\t\t\tfallbackPattern = pattern.substring(0, lastColon);\n\t\t\t\t\tfallbackThinking = suffix;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\tconst fallbackModel = buildFallbackModel(provider, fallbackPattern, availableModels);\n\t\tif (fallbackModel) {\n\t\t\tconst requestedThinking = cliThinking ?? fallbackThinking;\n\t\t\tconst model =\n\t\t\t\trequestedThinking && requestedThinking !== \"off\" ? { ...fallbackModel, reasoning: true } : fallbackModel;\n\t\t\tconst fallbackWarning = warning\n\t\t\t\t? `${warning} Model \"${fallbackPattern}\" not found for provider \"${provider}\". Using custom model id.`\n\t\t\t\t: `Model \"${fallbackPattern}\" not found for provider \"${provider}\". Using custom model id.`;\n\t\t\treturn { model, thinkingLevel: fallbackThinking, warning: fallbackWarning, error: undefined };\n\t\t}\n\t}\n\n\tconst display = provider ? `${provider}/${pattern}` : cliModel;\n\treturn {\n\t\tmodel: undefined,\n\t\tthinkingLevel: undefined,\n\t\twarning,\n\t\terror: `Model \"${display}\" not found. Use --list-models to see available models.`,\n\t};\n}\n\nexport interface InitialModelResult {\n\tmodel: Model<Api> | undefined;\n\tthinkingLevel: ThinkingLevel;\n\tfallbackMessage: string | undefined;\n}\n\n/**\n * Find the initial model to use based on priority:\n * 1. CLI args (provider + model)\n * 2. First model from scoped models (if not continuing/resuming)\n * 3. Restored from session (if continuing/resuming)\n * 4. Saved default from settings\n * 5. First available model with valid API key\n */\nexport async function findInitialModel(options: {\n\tcliProvider?: string;\n\tcliModel?: string;\n\tscopedModels: ScopedModel[];\n\tisContinuing: boolean;\n\tdefaultProvider?: string;\n\tdefaultModelId?: string;\n\tdefaultThinkingLevel?: ThinkingLevel;\n\tmodelRuntime: ModelRuntime;\n}): Promise<InitialModelResult> {\n\tconst {\n\t\tcliProvider,\n\t\tcliModel,\n\t\tscopedModels,\n\t\tisContinuing,\n\t\tdefaultProvider,\n\t\tdefaultModelId,\n\t\tdefaultThinkingLevel,\n\t\tmodelRuntime,\n\t} = options;\n\n\tlet model: Model<Api> | undefined;\n\tlet thinkingLevel: ThinkingLevel = DEFAULT_THINKING_LEVEL;\n\n\t// 1. CLI args take priority\n\tif (cliProvider && cliModel) {\n\t\tconst resolved = resolveCliModel({\n\t\t\tcliProvider,\n\t\t\tcliModel,\n\t\t\tmodelRuntime,\n\t\t});\n\t\tif (resolved.error) {\n\t\t\tconsole.error(chalk.red(resolved.error));\n\t\t\tprocess.exit(1);\n\t\t}\n\t\tif (resolved.model) {\n\t\t\treturn { model: resolved.model, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t\t}\n\t}\n\n\t// 2. Use first model from scoped models (skip if continuing/resuming)\n\tif (scopedModels.length > 0 && !isContinuing) {\n\t\treturn {\n\t\t\tmodel: scopedModels[0].model,\n\t\t\tthinkingLevel: scopedModels[0].thinkingLevel ?? defaultThinkingLevel ?? DEFAULT_THINKING_LEVEL,\n\t\t\tfallbackMessage: undefined,\n\t\t};\n\t}\n\n\t// 3. Try saved default from settings if auth is configured.\n\tif (defaultProvider && defaultModelId) {\n\t\tconst found = modelRuntime.getModel(defaultProvider, defaultModelId);\n\t\tif (found && modelRuntime.hasConfiguredAuth(found.provider)) {\n\t\t\tmodel = found;\n\t\t\tif (defaultThinkingLevel) {\n\t\t\t\tthinkingLevel = defaultThinkingLevel;\n\t\t\t}\n\t\t\treturn { model, thinkingLevel, fallbackMessage: undefined };\n\t\t}\n\t}\n\n\t// 4. Try first available model with valid API key\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\n\tif (availableModels.length > 0) {\n\t\t// Try to find a default model from known providers\n\t\tfor (const provider of Object.keys(defaultModelPerProvider) as KnownProvider[]) {\n\t\t\tconst defaultId = defaultModelPerProvider[provider];\n\t\t\tconst match = availableModels.find((m) => m.provider === provider && m.id === defaultId);\n\t\t\tif (match) {\n\t\t\t\treturn { model: match, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t\t\t}\n\t\t}\n\n\t\t// If no default found, use first available\n\t\treturn { model: availableModels[0], thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n\t}\n\n\t// 5. No model found\n\treturn { model: undefined, thinkingLevel: DEFAULT_THINKING_LEVEL, fallbackMessage: undefined };\n}\n\n/**\n * Restore model from session, with fallback to available models\n */\nexport async function restoreModelFromSession(\n\tsavedProvider: string,\n\tsavedModelId: string,\n\tcurrentModel: Model<Api> | undefined,\n\tshouldPrintMessages: boolean,\n\tmodelRuntime: ModelRuntime,\n): Promise<{ model: Model<Api> | undefined; fallbackMessage: string | undefined }> {\n\tconst restoredModel = modelRuntime.getModel(savedProvider, savedModelId);\n\n\t// Check if restored model exists and still has auth configured\n\tconst hasConfiguredAuth = restoredModel ? modelRuntime.hasConfiguredAuth(restoredModel.provider) : false;\n\n\tif (restoredModel && hasConfiguredAuth) {\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Restored model: ${savedProvider}/${savedModelId}`));\n\t\t}\n\t\treturn { model: restoredModel, fallbackMessage: undefined };\n\t}\n\n\t// Model not found or no API key - fall back\n\tconst reason = !restoredModel ? \"model no longer exists\" : \"no auth configured\";\n\n\tif (shouldPrintMessages) {\n\t\tconsole.error(chalk.yellow(`Warning: Could not restore model ${savedProvider}/${savedModelId} (${reason}).`));\n\t}\n\n\t// If we already have a model, use it as fallback\n\tif (currentModel) {\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Falling back to: ${currentModel.provider}/${currentModel.id}`));\n\t\t}\n\t\treturn {\n\t\t\tmodel: currentModel,\n\t\t\tfallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${currentModel.provider}/${currentModel.id}.`,\n\t\t};\n\t}\n\n\t// Try to find any available model\n\tconst availableModels = [...(await modelRuntime.getAvailable())];\n\n\tif (availableModels.length > 0) {\n\t\t// Try to find a default model from known providers\n\t\tlet fallbackModel: Model<Api> | undefined;\n\t\tfor (const provider of Object.keys(defaultModelPerProvider) as KnownProvider[]) {\n\t\t\tconst defaultId = defaultModelPerProvider[provider];\n\t\t\tconst match = availableModels.find((m) => m.provider === provider && m.id === defaultId);\n\t\t\tif (match) {\n\t\t\t\tfallbackModel = match;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\n\t\t// If no default found, use first available\n\t\tif (!fallbackModel) {\n\t\t\tfallbackModel = availableModels[0];\n\t\t}\n\n\t\tif (shouldPrintMessages) {\n\t\t\tconsole.log(chalk.dim(`Falling back to: ${fallbackModel.provider}/${fallbackModel.id}`));\n\t\t}\n\n\t\treturn {\n\t\t\tmodel: fallbackModel,\n\t\t\tfallbackMessage: `Could not restore model ${savedProvider}/${savedModelId} (${reason}). Using ${fallbackModel.provider}/${fallbackModel.id}.`,\n\t\t};\n\t}\n\n\t// No models available\n\treturn { model: undefined, fallbackMessage: undefined };\n}\n"]}

docs/models.md

@@ -452,2 +452,3 @@ # Custom Models
 | `supportsStrictMode` | Include the `strict` field in tool definitions |
+| `deferredToolsMode` | Use provider-specific deferred tool serialization. Currently only `"kimi"` is supported for Kimi's OpenAI-compatible Chat Completions format. |
 | `supportsLongCacheRetention` | Whether the provider accepts long cache retention when cache retention is `long`: `prompt_cache_retention: "24h"` for OpenAI prompt caching, or `cache_control.ttl: "1h"` when `cacheControlFormat` is `anthropic`. Default: `true`. |
@@ -454,0 +455,0 @@ | `openRouterRouting` | OpenRouter provider routing preferences. This object is sent as-is in the `provider` field of the [OpenRouter API request](https://openrouter.ai/docs/guides/routing/provider-selection). |

examples/extension...om-provider-anthropic/package-lock.json

 {
   "name": "pi-extension-custom-provider",
-  "version": "0.80.8",
+  "version": "0.80.9",
   "lockfileVersion": 3,
@@ -9,3 +9,3 @@ "requires": true,
       "name": "pi-extension-custom-provider",
-      "version": "0.80.8",
+      "version": "0.80.9",
       "dependencies": {
@@ -12,0 +12,0 @@ "@anthropic-ai/sdk": "^0.52.0"

examples/extensions/custom-provider-anthropic/package.json

 {
   "name": "pi-extension-custom-provider-anthropic",
   "private": true,
-  "version": "0.80.8",
+  "version": "0.80.9",
   "type": "module",
@@ -6,0 +6,0 @@ "scripts": {

examples/extensions/custom-provider-gitlab-duo/package.json

 {
   "name": "pi-extension-custom-provider-gitlab-duo",
   "private": true,
-  "version": "0.80.8",
+  "version": "0.80.9",
   "type": "module",
@@ -6,0 +6,0 @@ "scripts": {

examples/extensions/gondolin/package-lock.json

 {
 	"name": "pi-extension-gondolin",
-	"version": "0.80.8",
+	"version": "0.80.9",
 	"lockfileVersion": 3,
@@ -9,3 +9,3 @@ "requires": true,
 			"name": "pi-extension-gondolin",
-			"version": "0.80.8",
+			"version": "0.80.9",
 			"dependencies": {
@@ -12,0 +12,0 @@ "@earendil-works/gondolin": "0.12.0"

examples/extensions/gondolin/package.json

 {
 	"name": "pi-extension-gondolin",
 	"private": true,
-	"version": "0.80.8",
+	"version": "0.80.9",
 	"type": "module",
@@ -6,0 +6,0 @@ "scripts": {

examples/extensions/README.md

@@ -39,2 +39,3 @@ # Extension Examples
 | `dynamic-tools.ts` | Register tools after startup (`session_start`) and at runtime via command, with prompt snippets and tool-specific prompt guidelines |
+| `kimi-deferred-tools.ts` | Search for and progressively activate tools for Kimi's deferred-tool loading protocol |
 | `structured-output.ts` | Final structured-output tool that returns `terminate: true` so the agent can end on the tool call |
@@ -41,0 +42,0 @@ | `built-in-tool-renderer.ts` | Custom compact rendering for built-in tools (read, bash, edit, write) while keeping original behavior |

examples/extensions/sandbox/package-lock.json

 {
 	"name": "pi-extension-sandbox",
-	"version": "1.10.8",
+	"version": "1.10.9",
 	"lockfileVersion": 3,
@@ -9,3 +9,3 @@ "requires": true,
 			"name": "pi-extension-sandbox",
-			"version": "1.10.8",
+			"version": "1.10.9",
 			"dependencies": {
@@ -12,0 +12,0 @@ "@anthropic-ai/sandbox-runtime": "^0.0.26"

examples/extensions/sandbox/package.json

 {
 	"name": "pi-extension-sandbox",
 	"private": true,
-	"version": "1.10.8",
+	"version": "1.10.9",
 	"type": "module",
@@ -6,0 +6,0 @@ "scripts": {

examples/extensions/with-deps/package-lock.json

 {
   "name": "pi-extension-with-deps",
-  "version": "0.80.8",
+  "version": "0.80.9",
   "lockfileVersion": 3,
@@ -9,3 +9,3 @@ "requires": true,
       "name": "pi-extension-with-deps",
-      "version": "0.80.8",
+      "version": "0.80.9",
       "dependencies": {
@@ -12,0 +12,0 @@ "ms": "^2.1.3"

examples/extensions/with-deps/package.json

 {
   "name": "pi-extension-with-deps",
   "private": true,
-  "version": "0.80.8",
+  "version": "0.80.9",
   "type": "module",
@@ -6,0 +6,0 @@ "scripts": {

npm-shrinkwrap.json

 {
 	"name": "@earendil-works/pi-coding-agent",
-	"version": "0.80.8",
+	"version": "0.80.9",
 	"lockfileVersion": 3,
@@ -9,8 +9,8 @@ "requires": true,
 			"name": "@earendil-works/pi-coding-agent",
-			"version": "0.80.8",
+			"version": "0.80.9",
 			"license": "MIT",
 			"dependencies": {
-				"@earendil-works/pi-agent-core": "^0.80.8",
-				"@earendil-works/pi-ai": "^0.80.8",
-				"@earendil-works/pi-tui": "^0.80.8",
+				"@earendil-works/pi-agent-core": "^0.80.9",
+				"@earendil-works/pi-ai": "^0.80.9",
+				"@earendil-works/pi-tui": "^0.80.9",
 				"@silvia-odwyer/photon-node": "0.3.4",
@@ -478,7 +478,7 @@ "chalk": "5.6.2",
 		"node_modules/@earendil-works/pi-agent-core": {
-			"version": "0.80.8",
-			"resolved": "https://registry.npmjs.org/@earendil-works/pi-agent-core/-/pi-agent-core-0.80.8.tgz",
+			"version": "0.80.9",
+			"resolved": "https://registry.npmjs.org/@earendil-works/pi-agent-core/-/pi-agent-core-0.80.9.tgz",
 			"license": "MIT",
 			"dependencies": {
-				"@earendil-works/pi-ai": "^0.80.8",
+				"@earendil-works/pi-ai": "^0.80.9",
 				"ignore": "7.0.5",
@@ -493,4 +493,4 @@ "typebox": "1.1.38",
 		"node_modules/@earendil-works/pi-ai": {
-			"version": "0.80.8",
-			"resolved": "https://registry.npmjs.org/@earendil-works/pi-ai/-/pi-ai-0.80.8.tgz",
+			"version": "0.80.9",
+			"resolved": "https://registry.npmjs.org/@earendil-works/pi-ai/-/pi-ai-0.80.9.tgz",
 			"license": "MIT",
@@ -518,4 +518,4 @@ "dependencies": {
 		"node_modules/@earendil-works/pi-tui": {
-			"version": "0.80.8",
-			"resolved": "https://registry.npmjs.org/@earendil-works/pi-tui/-/pi-tui-0.80.8.tgz",
+			"version": "0.80.9",
+			"resolved": "https://registry.npmjs.org/@earendil-works/pi-tui/-/pi-tui-0.80.9.tgz",
 			"license": "MIT",
@@ -522,0 +522,0 @@ "dependencies": {

package.json

 {
 	"name": "@earendil-works/pi-coding-agent",
-	"version": "0.80.8",
+	"version": "0.80.9",
 	"description": "Coding agent CLI with read, bash, edit, write tools and session management",
@@ -42,5 +42,5 @@ "type": "module",
 	"dependencies": {
-		"@earendil-works/pi-agent-core": "^0.80.8",
-		"@earendil-works/pi-ai": "^0.80.8",
-		"@earendil-works/pi-tui": "^0.80.8",
+		"@earendil-works/pi-agent-core": "^0.80.9",
+		"@earendil-works/pi-ai": "^0.80.9",
+		"@earendil-works/pi-tui": "^0.80.9",
 		"@silvia-odwyer/photon-node": "0.3.4",
@@ -47,0 +47,0 @@ "chalk": "5.6.2",

New alerts

AI-detected potential code anomaly

Supply chain risk

AI has identified unusual behaviors that may pose a security risk.

Found 2 instances

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Fixed alerts

AI-detected potential code anomaly

Supply chain risk

AI has identified unusual behaviors that may pose a security risk.

Found 2 instances

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Improved metrics

Total package byte prevSize

12672280

0.05%

Number of package files

846

0.12%

Lines of code

70690

0.09%

Dependency changes

• + Added

  @earendil-works/pi-agent-core@0.80.9
  (transitive)

• + Added

  @earendil-works/pi-ai@0.80.9
  (transitive)

• + Added

  @earendil-works/pi-tui@0.80.9
  (transitive)

• - Removed

  @earendil-works/pi-agent-core@0.80.8
  (transitive)

• - Removed

  @earendil-works/pi-ai@0.80.8
  (transitive)

• - Removed

  @earendil-works/pi-tui@0.80.8
  (transitive)

• Updated

  @earendil-works/pi-agent-core@^0.80.9

• Updated

  @earendil-works/pi-ai@^0.80.9

• Updated

  @earendil-works/pi-tui@^0.80.9