Files
automaker/apps/server/src/services/agent-service.ts
Stefan de Vogelaere a1f234c7e2 feat: Claude Compatible Providers System (#629)
* feat: refactor Claude API Profiles to Claude Compatible Providers

- Rename ClaudeApiProfile to ClaudeCompatibleProvider with models[] array
- Each ProviderModel has mapsToClaudeModel field for Claude tier mapping
- Add providerType field for provider-specific icons (glm, minimax, openrouter)
- Add thinking level support for provider models in phase selectors
- Show all mapped Claude models per provider model (e.g., "Maps to Haiku, Sonnet, Opus")
- Add Bulk Replace feature to switch all phases to a provider at once
- Hide Bulk Replace button when no providers are enabled
- Fix project-level phaseModelOverrides not persisting after refresh
- Fix deleting last provider not persisting (remove empty array guard)
- Add getProviderByModelId() helper for all SDK routes
- Update all routes to pass provider config for provider models
- Update terminology from "profiles" to "providers" throughout UI
- Update documentation to reflect new provider system

* fix: atomic writer race condition and bulk replace reset to defaults

1. AtomicWriter Race Condition Fix (libs/utils/src/atomic-writer.ts):
   - Changed temp file naming from Date.now() to Date.now() + random hex
   - Uses crypto.randomBytes(4).toString('hex') for uniqueness
   - Prevents ENOENT errors when multiple concurrent writes happen
     within the same millisecond

2. Bulk Replace "Anthropic Direct" Reset (both dialogs):
   - When selecting "Anthropic Direct", now uses DEFAULT_PHASE_MODELS
   - Properly resets thinking levels and other settings to defaults
   - Added thinkingLevel to the change detection comparison
   - Affects both global and project-level bulk replace dialogs

* fix: update tests for new model resolver passthrough behavior

1. model-resolver tests:
   - Unknown models now pass through unchanged (provider model support)
   - Removed expectations for warnings on unknown models
   - Updated case sensitivity and edge case tests accordingly
   - Added tests for provider-like model names (GLM-4.7, MiniMax-M2.1)

2. atomic-writer tests:
   - Updated regex to match new temp file format with random suffix
   - Format changed from .tmp.{timestamp} to .tmp.{timestamp}.{hex}

* refactor: simplify getPhaseModelWithOverrides calls per code review

Address code review feedback on PR #629:
- Make settingsService parameter optional in getPhaseModelWithOverrides
- Function now handles undefined settingsService gracefully by returning defaults
- Remove redundant ternary checks in 4 call sites:
  - apps/server/src/routes/context/routes/describe-file.ts
  - apps/server/src/routes/context/routes/describe-image.ts
  - apps/server/src/routes/worktree/routes/generate-commit-message.ts
  - apps/server/src/services/auto-mode-service.ts
- Remove unused DEFAULT_PHASE_MODELS imports where applicable

* test: fix server tests for provider model passthrough behavior

- Update model-resolver.test.ts to expect unknown models to pass through
  unchanged (supports ClaudeCompatibleProvider models like GLM-4.7)
- Remove warning expectations for unknown models (valid for providers)
- Add missing getCredentials and getGlobalSettings mocks to
  ideation-service.test.ts for settingsService

* fix: address code review feedback for model providers

- Honor thinkingLevel in generate-commit-message.ts
- Pass claudeCompatibleProvider in ideation-service.ts for provider models
- Resolve provider configuration for model overrides in generate-suggestions.ts
- Update "Active Profile" to "Active Provider" label in project-claude-section
- Use substring instead of deprecated substr in api-profiles-section
- Preserve provider enabled state when editing in api-profiles-section

* fix: address CodeRabbit review issues for Claude Compatible Providers

- Fix TypeScript TS2339 error in generate-suggestions.ts where
  settingsService was narrowed to 'never' type in else branch
- Use DEFAULT_PHASE_MODELS per-phase defaults instead of hardcoded
  'sonnet' in settings-helpers.ts
- Remove duplicate eventHooks key in use-settings-migration.ts
- Add claudeCompatibleProviders to localStorage migration parsing
  and merging functions
- Handle canonical claude-* model IDs (claude-haiku, claude-sonnet,
  claude-opus) in project-models-section display names

This resolves the CI build failures and addresses code review feedback.

* fix: skip broken list-view-priority E2E test and add Priority column label

- Skip list-view-priority.spec.ts with TODO explaining the infrastructure
  issue: setupRealProject only sets localStorage but server settings
  take precedence with localStorageMigrated: true
- Add 'Priority' label to list-header.tsx for the priority column
  (was empty string, now shows proper header text)
- Increase column width to accommodate the label

The E2E test issue is that tests create features in a temp directory,
but the server loads from the E2E Test Project fixture path set in
setup-e2e-fixtures.mjs. Needs infrastructure fix to properly switch
projects or create features through UI instead of on disk.
2026-01-20 20:57:23 +01:00

970 lines
31 KiB
TypeScript

/**
* Agent Service - Runs AI agents via provider architecture
* Manages conversation sessions and streams responses via WebSocket
*/
import path from 'path';
import * as secureFs from '../lib/secure-fs.js';
import type { EventEmitter } from '../lib/events.js';
import type { ExecuteOptions, ThinkingLevel, ReasoningEffort } from '@automaker/types';
import { stripProviderPrefix } from '@automaker/types';
import {
readImageAsBase64,
buildPromptWithImages,
isAbortError,
loadContextFiles,
createLogger,
classifyError,
getUserFriendlyErrorMessage,
} from '@automaker/utils';
import { ProviderFactory } from '../providers/provider-factory.js';
import { createChatOptions, validateWorkingDirectory } from '../lib/sdk-options.js';
import { PathNotAllowedError } from '@automaker/platform';
import type { SettingsService } from './settings-service.js';
import {
getAutoLoadClaudeMdSetting,
filterClaudeMdFromContext,
getMCPServersFromSettings,
getPromptCustomization,
getSkillsConfiguration,
getSubagentsConfiguration,
getCustomSubagents,
getProviderByModelId,
} from '../lib/settings-helpers.js';
interface Message {
id: string;
role: 'user' | 'assistant';
content: string;
images?: Array<{
data: string;
mimeType: string;
filename: string;
}>;
timestamp: string;
isError?: boolean;
}
interface QueuedPrompt {
id: string;
message: string;
imagePaths?: string[];
model?: string;
thinkingLevel?: ThinkingLevel;
addedAt: string;
}
interface Session {
messages: Message[];
isRunning: boolean;
abortController: AbortController | null;
workingDirectory: string;
model?: string;
thinkingLevel?: ThinkingLevel; // Thinking level for Claude models
reasoningEffort?: ReasoningEffort; // Reasoning effort for Codex models
sdkSessionId?: string; // Claude SDK session ID for conversation continuity
promptQueue: QueuedPrompt[]; // Queue of prompts to auto-run after current task
}
interface SessionMetadata {
id: string;
name: string;
projectPath?: string;
workingDirectory: string;
createdAt: string;
updatedAt: string;
archived?: boolean;
tags?: string[];
model?: string;
sdkSessionId?: string; // Claude SDK session ID for conversation continuity
}
export class AgentService {
private sessions = new Map<string, Session>();
private stateDir: string;
private metadataFile: string;
private events: EventEmitter;
private settingsService: SettingsService | null = null;
private logger = createLogger('AgentService');
constructor(dataDir: string, events: EventEmitter, settingsService?: SettingsService) {
this.stateDir = path.join(dataDir, 'agent-sessions');
this.metadataFile = path.join(dataDir, 'sessions-metadata.json');
this.events = events;
this.settingsService = settingsService ?? null;
}
async initialize(): Promise<void> {
await secureFs.mkdir(this.stateDir, { recursive: true });
}
/**
* Start or resume a conversation
*/
async startConversation({
sessionId,
workingDirectory,
}: {
sessionId: string;
workingDirectory?: string;
}) {
if (!this.sessions.has(sessionId)) {
const messages = await this.loadSession(sessionId);
const metadata = await this.loadMetadata();
const sessionMetadata = metadata[sessionId];
// Determine the effective working directory
const effectiveWorkingDirectory = workingDirectory || process.cwd();
const resolvedWorkingDirectory = path.resolve(effectiveWorkingDirectory);
// Validate that the working directory is allowed using centralized validation
validateWorkingDirectory(resolvedWorkingDirectory);
// Load persisted queue
const promptQueue = await this.loadQueueState(sessionId);
this.sessions.set(sessionId, {
messages,
isRunning: false,
abortController: null,
workingDirectory: resolvedWorkingDirectory,
sdkSessionId: sessionMetadata?.sdkSessionId, // Load persisted SDK session ID
promptQueue,
});
}
const session = this.sessions.get(sessionId)!;
return {
success: true,
messages: session.messages,
sessionId,
};
}
/**
* Send a message to the agent and stream responses
*/
async sendMessage({
sessionId,
message,
workingDirectory,
imagePaths,
model,
thinkingLevel,
reasoningEffort,
}: {
sessionId: string;
message: string;
workingDirectory?: string;
imagePaths?: string[];
model?: string;
thinkingLevel?: ThinkingLevel;
reasoningEffort?: ReasoningEffort;
}) {
const session = this.sessions.get(sessionId);
if (!session) {
this.logger.error('ERROR: Session not found:', sessionId);
throw new Error(`Session ${sessionId} not found`);
}
if (session.isRunning) {
this.logger.error('ERROR: Agent already running for session:', sessionId);
throw new Error('Agent is already processing a message');
}
// Update session model, thinking level, and reasoning effort if provided
if (model) {
session.model = model;
await this.updateSession(sessionId, { model });
}
if (thinkingLevel !== undefined) {
session.thinkingLevel = thinkingLevel;
}
if (reasoningEffort !== undefined) {
session.reasoningEffort = reasoningEffort;
}
// Validate vision support before processing images
const effectiveModel = model || session.model;
if (imagePaths && imagePaths.length > 0 && effectiveModel) {
const supportsVision = ProviderFactory.modelSupportsVision(effectiveModel);
if (!supportsVision) {
throw new Error(
`This model (${effectiveModel}) does not support image input. ` +
`Please switch to a model that supports vision, or remove the images and try again.`
);
}
}
// Read images and convert to base64
const images: Message['images'] = [];
if (imagePaths && imagePaths.length > 0) {
for (const imagePath of imagePaths) {
try {
const imageData = await readImageAsBase64(imagePath);
images.push({
data: imageData.base64,
mimeType: imageData.mimeType,
filename: imageData.filename,
});
} catch (error) {
this.logger.error(`Failed to load image ${imagePath}:`, error);
}
}
}
// Add user message
const userMessage: Message = {
id: this.generateId(),
role: 'user',
content: message,
images: images.length > 0 ? images : undefined,
timestamp: new Date().toISOString(),
};
// Build conversation history from existing messages BEFORE adding current message
const conversationHistory = session.messages.map((msg) => ({
role: msg.role,
content: msg.content,
}));
session.messages.push(userMessage);
session.isRunning = true;
session.abortController = new AbortController();
// Emit started event so UI can show thinking indicator
this.emitAgentEvent(sessionId, {
type: 'started',
});
// Emit user message event
this.emitAgentEvent(sessionId, {
type: 'message',
message: userMessage,
});
await this.saveSession(sessionId, session.messages);
try {
// Determine the effective working directory for context loading
const effectiveWorkDir = workingDirectory || session.workingDirectory;
// Load autoLoadClaudeMd setting (project setting takes precedence over global)
const autoLoadClaudeMd = await getAutoLoadClaudeMdSetting(
effectiveWorkDir,
this.settingsService,
'[AgentService]'
);
// Load MCP servers from settings (global setting only)
const mcpServers = await getMCPServersFromSettings(this.settingsService, '[AgentService]');
// Get Skills configuration from settings
const skillsConfig = this.settingsService
? await getSkillsConfiguration(this.settingsService)
: { enabled: false, sources: [] as Array<'user' | 'project'>, shouldIncludeInTools: false };
// Get Subagents configuration from settings
const subagentsConfig = this.settingsService
? await getSubagentsConfiguration(this.settingsService)
: { enabled: false, sources: [] as Array<'user' | 'project'>, shouldIncludeInTools: false };
// Get custom subagents from settings (merge global + project-level) only if enabled
const customSubagents =
this.settingsService && subagentsConfig.enabled
? await getCustomSubagents(this.settingsService, effectiveWorkDir)
: undefined;
// Get credentials for API calls
const credentials = await this.settingsService?.getCredentials();
// Try to find a provider for the model (if it's a provider model like "GLM-4.7")
// This allows users to select provider models in the Agent Runner UI
let claudeCompatibleProvider: import('@automaker/types').ClaudeCompatibleProvider | undefined;
let providerResolvedModel: string | undefined;
const requestedModel = model || session.model;
if (requestedModel && this.settingsService) {
const providerResult = await getProviderByModelId(
requestedModel,
this.settingsService,
'[AgentService]'
);
if (providerResult.provider) {
claudeCompatibleProvider = providerResult.provider;
providerResolvedModel = providerResult.resolvedModel;
this.logger.info(
`[AgentService] Using provider "${providerResult.provider.name}" for model "${requestedModel}"` +
(providerResolvedModel ? ` -> resolved to "${providerResolvedModel}"` : '')
);
}
}
// Load project context files (CLAUDE.md, CODE_QUALITY.md, etc.) and memory files
// Use the user's message as task context for smart memory selection
const contextResult = await loadContextFiles({
projectPath: effectiveWorkDir,
fsModule: secureFs as Parameters<typeof loadContextFiles>[0]['fsModule'],
taskContext: {
title: message.substring(0, 200), // Use first 200 chars as title
description: message,
},
});
// When autoLoadClaudeMd is enabled, filter out CLAUDE.md to avoid duplication
// (SDK handles CLAUDE.md via settingSources), but keep other context files like CODE_QUALITY.md
const contextFilesPrompt = filterClaudeMdFromContext(contextResult, autoLoadClaudeMd);
// Build combined system prompt with base prompt and context files
const baseSystemPrompt = await this.getSystemPrompt();
const combinedSystemPrompt = contextFilesPrompt
? `${contextFilesPrompt}\n\n${baseSystemPrompt}`
: baseSystemPrompt;
// Build SDK options using centralized configuration
// Use thinking level and reasoning effort from request, or fall back to session's stored values
const effectiveThinkingLevel = thinkingLevel ?? session.thinkingLevel;
const effectiveReasoningEffort = reasoningEffort ?? session.reasoningEffort;
// When using a provider model, use the resolved Claude model (from mapsToClaudeModel)
// e.g., "GLM-4.5-Air" -> "claude-haiku-4-5"
const modelForSdk = providerResolvedModel || model;
const sessionModelForSdk = providerResolvedModel ? undefined : session.model;
const sdkOptions = createChatOptions({
cwd: effectiveWorkDir,
model: modelForSdk,
sessionModel: sessionModelForSdk,
systemPrompt: combinedSystemPrompt,
abortController: session.abortController!,
autoLoadClaudeMd,
thinkingLevel: effectiveThinkingLevel, // Pass thinking level for Claude models
mcpServers: Object.keys(mcpServers).length > 0 ? mcpServers : undefined,
});
// Extract model, maxTurns, and allowedTools from SDK options
const effectiveModel = sdkOptions.model!;
const maxTurns = sdkOptions.maxTurns;
let allowedTools = sdkOptions.allowedTools as string[] | undefined;
// Build merged settingSources array using Set for automatic deduplication
const sdkSettingSources = (sdkOptions.settingSources ?? []).filter(
(source): source is 'user' | 'project' => source === 'user' || source === 'project'
);
const skillSettingSources = skillsConfig.enabled ? skillsConfig.sources : [];
const settingSources = [...new Set([...sdkSettingSources, ...skillSettingSources])];
// Enhance allowedTools with Skills and Subagents tools
// These tools are not in the provider's default set - they're added dynamically based on settings
const needsSkillTool = skillsConfig.shouldIncludeInTools;
const needsTaskTool =
subagentsConfig.shouldIncludeInTools &&
customSubagents &&
Object.keys(customSubagents).length > 0;
// Base tools that match the provider's default set
const baseTools = ['Read', 'Write', 'Edit', 'Glob', 'Grep', 'Bash', 'WebSearch', 'WebFetch'];
if (allowedTools) {
allowedTools = [...allowedTools]; // Create a copy to avoid mutating SDK options
// Add Skill tool if skills are enabled
if (needsSkillTool && !allowedTools.includes('Skill')) {
allowedTools.push('Skill');
}
// Add Task tool if custom subagents are configured
if (needsTaskTool && !allowedTools.includes('Task')) {
allowedTools.push('Task');
}
} else if (needsSkillTool || needsTaskTool) {
// If no allowedTools specified but we need to add Skill/Task tools,
// build the full list including base tools
allowedTools = [...baseTools];
if (needsSkillTool) {
allowedTools.push('Skill');
}
if (needsTaskTool) {
allowedTools.push('Task');
}
}
// Get provider for this model (with prefix)
const provider = ProviderFactory.getProviderForModel(effectiveModel);
// Strip provider prefix - providers should receive bare model IDs
const bareModel = stripProviderPrefix(effectiveModel);
// Build options for provider
const options: ExecuteOptions = {
prompt: '', // Will be set below based on images
model: bareModel, // Bare model ID (e.g., "gpt-5.1-codex-max", "composer-1")
originalModel: effectiveModel, // Original with prefix for logging (e.g., "codex-gpt-5.1-codex-max")
cwd: effectiveWorkDir,
systemPrompt: sdkOptions.systemPrompt,
maxTurns: maxTurns,
allowedTools: allowedTools,
abortController: session.abortController!,
conversationHistory: conversationHistory.length > 0 ? conversationHistory : undefined,
settingSources: settingSources.length > 0 ? settingSources : undefined,
sdkSessionId: session.sdkSessionId, // Pass SDK session ID for resuming
mcpServers: Object.keys(mcpServers).length > 0 ? mcpServers : undefined, // Pass MCP servers configuration
agents: customSubagents, // Pass custom subagents for task delegation
thinkingLevel: effectiveThinkingLevel, // Pass thinking level for Claude models
reasoningEffort: effectiveReasoningEffort, // Pass reasoning effort for Codex models
credentials, // Pass credentials for resolving 'credentials' apiKeySource
claudeCompatibleProvider, // Pass provider for alternative endpoint configuration (GLM, MiniMax, etc.)
};
// Build prompt content with images
const { content: promptContent } = await buildPromptWithImages(
message,
imagePaths,
undefined, // no workDir for agent service
true // include image paths in text
);
// Set the prompt in options
options.prompt = promptContent;
// Execute via provider
const stream = provider.executeQuery(options);
let currentAssistantMessage: Message | null = null;
let responseText = '';
const toolUses: Array<{ name: string; input: unknown }> = [];
for await (const msg of stream) {
// Capture SDK session ID from any message and persist it
if (msg.session_id && !session.sdkSessionId) {
session.sdkSessionId = msg.session_id;
// Persist the SDK session ID to ensure conversation continuity across server restarts
await this.updateSession(sessionId, { sdkSessionId: msg.session_id });
}
if (msg.type === 'assistant') {
if (msg.message?.content) {
for (const block of msg.message.content) {
if (block.type === 'text') {
responseText += block.text;
if (!currentAssistantMessage) {
currentAssistantMessage = {
id: this.generateId(),
role: 'assistant',
content: responseText,
timestamp: new Date().toISOString(),
};
session.messages.push(currentAssistantMessage);
} else {
currentAssistantMessage.content = responseText;
}
this.emitAgentEvent(sessionId, {
type: 'stream',
messageId: currentAssistantMessage.id,
content: responseText,
isComplete: false,
});
} else if (block.type === 'tool_use') {
const toolUse = {
name: block.name || 'unknown',
input: block.input,
};
toolUses.push(toolUse);
this.emitAgentEvent(sessionId, {
type: 'tool_use',
tool: toolUse,
});
}
}
}
} else if (msg.type === 'result') {
if (msg.subtype === 'success' && msg.result) {
if (currentAssistantMessage) {
currentAssistantMessage.content = msg.result;
responseText = msg.result;
}
}
this.emitAgentEvent(sessionId, {
type: 'complete',
messageId: currentAssistantMessage?.id,
content: responseText,
toolUses,
});
} else if (msg.type === 'error') {
// Some providers (like Codex CLI/SaaS or Cursor CLI) surface failures as
// streamed error messages instead of throwing. Handle these here so the
// Agent Runner UX matches the Claude/Cursor behavior without changing
// their provider implementations.
const rawErrorText =
(typeof msg.error === 'string' && msg.error.trim()) ||
'Unexpected error from provider during agent execution.';
const errorInfo = classifyError(new Error(rawErrorText));
// Keep the provider-supplied text intact (Codex already includes helpful tips),
// only add a small rate-limit hint when we can detect it.
const enhancedText = errorInfo.isRateLimit
? `${rawErrorText}\n\nTip: It looks like you hit a rate limit. Try waiting a bit or reducing concurrent Agent Runner / Auto Mode tasks.`
: rawErrorText;
this.logger.error('Provider error during agent execution:', {
type: errorInfo.type,
message: errorInfo.message,
});
// Mark session as no longer running so the UI and queue stay in sync
session.isRunning = false;
session.abortController = null;
const errorMessage: Message = {
id: this.generateId(),
role: 'assistant',
content: `Error: ${enhancedText}`,
timestamp: new Date().toISOString(),
isError: true,
};
session.messages.push(errorMessage);
await this.saveSession(sessionId, session.messages);
this.emitAgentEvent(sessionId, {
type: 'error',
error: enhancedText,
message: errorMessage,
});
// Don't continue streaming after an error message
return {
success: false,
};
}
}
await this.saveSession(sessionId, session.messages);
session.isRunning = false;
session.abortController = null;
// Process next item in queue after completion
setImmediate(() => this.processNextInQueue(sessionId));
return {
success: true,
message: currentAssistantMessage,
};
} catch (error) {
if (isAbortError(error)) {
session.isRunning = false;
session.abortController = null;
return { success: false, aborted: true };
}
this.logger.error('Error:', error);
session.isRunning = false;
session.abortController = null;
const errorMessage: Message = {
id: this.generateId(),
role: 'assistant',
content: `Error: ${(error as Error).message}`,
timestamp: new Date().toISOString(),
isError: true,
};
session.messages.push(errorMessage);
await this.saveSession(sessionId, session.messages);
this.emitAgentEvent(sessionId, {
type: 'error',
error: (error as Error).message,
message: errorMessage,
});
throw error;
}
}
/**
* Get conversation history
*/
getHistory(sessionId: string) {
const session = this.sessions.get(sessionId);
if (!session) {
return { success: false, error: 'Session not found' };
}
return {
success: true,
messages: session.messages,
isRunning: session.isRunning,
};
}
/**
* Stop current agent execution
*/
async stopExecution(sessionId: string) {
const session = this.sessions.get(sessionId);
if (!session) {
return { success: false, error: 'Session not found' };
}
if (session.abortController) {
session.abortController.abort();
session.isRunning = false;
session.abortController = null;
}
return { success: true };
}
/**
* Clear conversation history
*/
async clearSession(sessionId: string) {
const session = this.sessions.get(sessionId);
if (session) {
session.messages = [];
session.isRunning = false;
await this.saveSession(sessionId, []);
}
return { success: true };
}
// Session management
async loadSession(sessionId: string): Promise<Message[]> {
const sessionFile = path.join(this.stateDir, `${sessionId}.json`);
try {
const data = (await secureFs.readFile(sessionFile, 'utf-8')) as string;
return JSON.parse(data);
} catch {
return [];
}
}
async saveSession(sessionId: string, messages: Message[]): Promise<void> {
const sessionFile = path.join(this.stateDir, `${sessionId}.json`);
try {
await secureFs.writeFile(sessionFile, JSON.stringify(messages, null, 2), 'utf-8');
await this.updateSessionTimestamp(sessionId);
} catch (error) {
this.logger.error('Failed to save session:', error);
}
}
async loadMetadata(): Promise<Record<string, SessionMetadata>> {
try {
const data = (await secureFs.readFile(this.metadataFile, 'utf-8')) as string;
return JSON.parse(data);
} catch {
return {};
}
}
async saveMetadata(metadata: Record<string, SessionMetadata>): Promise<void> {
await secureFs.writeFile(this.metadataFile, JSON.stringify(metadata, null, 2), 'utf-8');
}
async updateSessionTimestamp(sessionId: string): Promise<void> {
const metadata = await this.loadMetadata();
if (metadata[sessionId]) {
metadata[sessionId].updatedAt = new Date().toISOString();
await this.saveMetadata(metadata);
}
}
async listSessions(includeArchived = false): Promise<SessionMetadata[]> {
const metadata = await this.loadMetadata();
let sessions = Object.values(metadata);
if (!includeArchived) {
sessions = sessions.filter((s) => !s.archived);
}
return sessions.sort(
(a, b) => new Date(b.updatedAt).getTime() - new Date(a.updatedAt).getTime()
);
}
async createSession(
name: string,
projectPath?: string,
workingDirectory?: string,
model?: string
): Promise<SessionMetadata> {
const sessionId = this.generateId();
const metadata = await this.loadMetadata();
// Determine the effective working directory
const effectiveWorkingDirectory = workingDirectory || projectPath || process.cwd();
const resolvedWorkingDirectory = path.resolve(effectiveWorkingDirectory);
// Validate that the working directory is allowed using centralized validation
validateWorkingDirectory(resolvedWorkingDirectory);
// Validate that projectPath is allowed if provided
if (projectPath) {
validateWorkingDirectory(projectPath);
}
const session: SessionMetadata = {
id: sessionId,
name,
projectPath,
workingDirectory: resolvedWorkingDirectory,
createdAt: new Date().toISOString(),
updatedAt: new Date().toISOString(),
model,
};
metadata[sessionId] = session;
await this.saveMetadata(metadata);
return session;
}
async setSessionModel(sessionId: string, model: string): Promise<boolean> {
const session = this.sessions.get(sessionId);
if (session) {
session.model = model;
await this.updateSession(sessionId, { model });
return true;
}
return false;
}
async updateSession(
sessionId: string,
updates: Partial<SessionMetadata>
): Promise<SessionMetadata | null> {
const metadata = await this.loadMetadata();
if (!metadata[sessionId]) return null;
metadata[sessionId] = {
...metadata[sessionId],
...updates,
updatedAt: new Date().toISOString(),
};
await this.saveMetadata(metadata);
return metadata[sessionId];
}
async archiveSession(sessionId: string): Promise<boolean> {
const result = await this.updateSession(sessionId, { archived: true });
return result !== null;
}
async unarchiveSession(sessionId: string): Promise<boolean> {
const result = await this.updateSession(sessionId, { archived: false });
return result !== null;
}
async deleteSession(sessionId: string): Promise<boolean> {
const metadata = await this.loadMetadata();
if (!metadata[sessionId]) return false;
delete metadata[sessionId];
await this.saveMetadata(metadata);
// Delete session file
try {
const sessionFile = path.join(this.stateDir, `${sessionId}.json`);
await secureFs.unlink(sessionFile);
} catch {
// File may not exist
}
// Clear from memory
this.sessions.delete(sessionId);
return true;
}
// Queue management methods
/**
* Add a prompt to the queue for later execution
*/
async addToQueue(
sessionId: string,
prompt: {
message: string;
imagePaths?: string[];
model?: string;
thinkingLevel?: ThinkingLevel;
}
): Promise<{ success: boolean; queuedPrompt?: QueuedPrompt; error?: string }> {
const session = this.sessions.get(sessionId);
if (!session) {
return { success: false, error: 'Session not found' };
}
const queuedPrompt: QueuedPrompt = {
id: this.generateId(),
message: prompt.message,
imagePaths: prompt.imagePaths,
model: prompt.model,
thinkingLevel: prompt.thinkingLevel,
addedAt: new Date().toISOString(),
};
session.promptQueue.push(queuedPrompt);
await this.saveQueueState(sessionId, session.promptQueue);
// Emit queue update event
this.emitAgentEvent(sessionId, {
type: 'queue_updated',
queue: session.promptQueue,
});
return { success: true, queuedPrompt };
}
/**
* Get the current queue for a session
*/
getQueue(sessionId: string): { success: boolean; queue?: QueuedPrompt[]; error?: string } {
const session = this.sessions.get(sessionId);
if (!session) {
return { success: false, error: 'Session not found' };
}
return { success: true, queue: session.promptQueue };
}
/**
* Remove a specific prompt from the queue
*/
async removeFromQueue(
sessionId: string,
promptId: string
): Promise<{ success: boolean; error?: string }> {
const session = this.sessions.get(sessionId);
if (!session) {
return { success: false, error: 'Session not found' };
}
const index = session.promptQueue.findIndex((p) => p.id === promptId);
if (index === -1) {
return { success: false, error: 'Prompt not found in queue' };
}
session.promptQueue.splice(index, 1);
await this.saveQueueState(sessionId, session.promptQueue);
this.emitAgentEvent(sessionId, {
type: 'queue_updated',
queue: session.promptQueue,
});
return { success: true };
}
/**
* Clear all prompts from the queue
*/
async clearQueue(sessionId: string): Promise<{ success: boolean; error?: string }> {
const session = this.sessions.get(sessionId);
if (!session) {
return { success: false, error: 'Session not found' };
}
session.promptQueue = [];
await this.saveQueueState(sessionId, []);
this.emitAgentEvent(sessionId, {
type: 'queue_updated',
queue: [],
});
return { success: true };
}
/**
* Save queue state to disk for persistence
*/
private async saveQueueState(sessionId: string, queue: QueuedPrompt[]): Promise<void> {
const queueFile = path.join(this.stateDir, `${sessionId}-queue.json`);
try {
await secureFs.writeFile(queueFile, JSON.stringify(queue, null, 2), 'utf-8');
} catch (error) {
this.logger.error('Failed to save queue state:', error);
}
}
/**
* Load queue state from disk
*/
private async loadQueueState(sessionId: string): Promise<QueuedPrompt[]> {
const queueFile = path.join(this.stateDir, `${sessionId}-queue.json`);
try {
const data = (await secureFs.readFile(queueFile, 'utf-8')) as string;
return JSON.parse(data);
} catch {
return [];
}
}
/**
* Process the next item in the queue (called after task completion)
*/
private async processNextInQueue(sessionId: string): Promise<void> {
const session = this.sessions.get(sessionId);
if (!session || session.promptQueue.length === 0) {
return;
}
// Don't process if already running
if (session.isRunning) {
return;
}
const nextPrompt = session.promptQueue.shift();
if (!nextPrompt) return;
await this.saveQueueState(sessionId, session.promptQueue);
this.emitAgentEvent(sessionId, {
type: 'queue_updated',
queue: session.promptQueue,
});
try {
await this.sendMessage({
sessionId,
message: nextPrompt.message,
imagePaths: nextPrompt.imagePaths,
model: nextPrompt.model,
thinkingLevel: nextPrompt.thinkingLevel,
});
} catch (error) {
this.logger.error('Failed to process queued prompt:', error);
this.emitAgentEvent(sessionId, {
type: 'queue_error',
error: (error as Error).message,
promptId: nextPrompt.id,
});
}
}
private emitAgentEvent(sessionId: string, data: Record<string, unknown>): void {
this.events.emit('agent:stream', { sessionId, ...data });
}
private async getSystemPrompt(): Promise<string> {
// Load from settings (no caching - allows hot reload of custom prompts)
const prompts = await getPromptCustomization(this.settingsService, '[AgentService]');
return prompts.agent.systemPrompt;
}
private generateId(): string {
return `msg_${Date.now()}_${Math.random().toString(36).substring(2, 11)}`;
}
}