feat: implement project setup dialog and refactor sidebar integration

- Added a new ProjectSetupDialog component to facilitate project specification generation, enhancing user experience by guiding users through project setup.
- Refactored the Sidebar component to integrate the new ProjectSetupDialog, replacing the previous inline dialog implementation for improved code organization and maintainability.
- Updated the sidebar to handle project overview and feature generation options, streamlining the project setup process.
- Removed the old dialog implementation from the Sidebar, reducing code duplication and improving clarity.

apps/server/src/lib/model-resolver.ts

@@ -48,7 +48,9 @@ export function resolveModelString(
   // Look up Claude model alias
   const resolved = CLAUDE_MODEL_MAP[modelKey];
   if (resolved) {
-    console.log(`[ModelResolver] Resolved model alias: "${modelKey}" -> "${resolved}"`);
+    console.log(
+      `[ModelResolver] Resolved model alias: "${modelKey}" -> "${resolved}"`
+    );
     return resolved;
   }
 
@@ -73,8 +75,5 @@ export function getEffectiveModel(
   sessionModel?: string,
   defaultModel?: string
 ): string {
-  return resolveModelString(
-    explicitModel || sessionModel,
-    defaultModel
-  );
+  return resolveModelString(explicitModel || sessionModel, defaultModel);
 }

apps/server/src/lib/sdk-options.ts

@@ -0,0 +1,291 @@
+/**
+ * SDK Options Factory - Centralized configuration for Claude Agent SDK
+ *
+ * Provides presets for common use cases:
+ * - Spec generation: Long-running analysis with read-only tools
+ * - Feature generation: Quick JSON generation from specs
+ * - Feature building: Autonomous feature implementation with full tool access
+ * - Suggestions: Analysis with read-only tools
+ * - Chat: Full tool access for interactive coding
+ *
+ * Uses model-resolver for consistent model handling across the application.
+ */
+
+import type { Options } from "@anthropic-ai/claude-agent-sdk";
+import {
+  resolveModelString,
+  DEFAULT_MODELS,
+  CLAUDE_MODEL_MAP,
+} from "./model-resolver.js";
+
+/**
+ * Tool presets for different use cases
+ */
+export const TOOL_PRESETS = {
+  /** Read-only tools for analysis */
+  readOnly: ["Read", "Glob", "Grep"] as const,
+
+  /** Tools for spec generation that needs to read the codebase */
+  specGeneration: ["Read", "Glob", "Grep"] as const,
+
+  /** Full tool access for feature implementation */
+  fullAccess: [
+    "Read",
+    "Write",
+    "Edit",
+    "Glob",
+    "Grep",
+    "Bash",
+    "WebSearch",
+    "WebFetch",
+  ] as const,
+
+  /** Tools for chat/interactive mode */
+  chat: [
+    "Read",
+    "Write",
+    "Edit",
+    "Glob",
+    "Grep",
+    "Bash",
+    "WebSearch",
+    "WebFetch",
+  ] as const,
+} as const;
+
+/**
+ * Max turns presets for different use cases
+ */
+export const MAX_TURNS = {
+  /** Quick operations that shouldn't need many iterations */
+  quick: 5,
+
+  /** Standard operations */
+  standard: 20,
+
+  /** Long-running operations like full spec generation */
+  extended: 50,
+
+  /** Very long operations that may require extensive exploration */
+  maximum: 1000,
+} as const;
+
+/**
+ * Model presets for different use cases
+ *
+ * These can be overridden via environment variables:
+ * - AUTOMAKER_MODEL_SPEC: Model for spec generation
+ * - AUTOMAKER_MODEL_FEATURES: Model for feature generation
+ * - AUTOMAKER_MODEL_SUGGESTIONS: Model for suggestions
+ * - AUTOMAKER_MODEL_CHAT: Model for chat
+ * - AUTOMAKER_MODEL_DEFAULT: Fallback model for all operations
+ */
+export function getModelForUseCase(
+  useCase: "spec" | "features" | "suggestions" | "chat" | "auto" | "default",
+  explicitModel?: string
+): string {
+  // Explicit model takes precedence
+  if (explicitModel) {
+    return resolveModelString(explicitModel);
+  }
+
+  // Check environment variable override for this use case
+  const envVarMap: Record<string, string | undefined> = {
+    spec: process.env.AUTOMAKER_MODEL_SPEC,
+    features: process.env.AUTOMAKER_MODEL_FEATURES,
+    suggestions: process.env.AUTOMAKER_MODEL_SUGGESTIONS,
+    chat: process.env.AUTOMAKER_MODEL_CHAT,
+    auto: process.env.AUTOMAKER_MODEL_AUTO,
+    default: process.env.AUTOMAKER_MODEL_DEFAULT,
+  };
+
+  const envModel = envVarMap[useCase] || envVarMap.default;
+  if (envModel) {
+    return resolveModelString(envModel);
+  }
+
+  const defaultModels: Record<string, string> = {
+    spec: CLAUDE_MODEL_MAP["haiku"], // used to generate app specs
+    features: CLAUDE_MODEL_MAP["haiku"], // used to generate features from app specs
+    suggestions: CLAUDE_MODEL_MAP["haiku"], // used for suggestions
+    chat: CLAUDE_MODEL_MAP["haiku"], // used for chat
+    auto: CLAUDE_MODEL_MAP["opus"], // used to implement kanban cards
+    default: CLAUDE_MODEL_MAP["opus"],
+  };
+
+  return resolveModelString(defaultModels[useCase] || DEFAULT_MODELS.claude);
+}
+
+/**
+ * Base options that apply to all SDK calls
+ */
+function getBaseOptions(): Partial<Options> {
+  return {
+    permissionMode: "acceptEdits",
+  };
+}
+
+/**
+ * Options configuration for creating SDK options
+ */
+export interface CreateSdkOptionsConfig {
+  /** Working directory for the agent */
+  cwd: string;
+
+  /** Optional explicit model override */
+  model?: string;
+
+  /** Optional session model (used as fallback if explicit model not provided) */
+  sessionModel?: string;
+
+  /** Optional system prompt */
+  systemPrompt?: string;
+
+  /** Optional abort controller for cancellation */
+  abortController?: AbortController;
+}
+
+/**
+ * Create SDK options for spec generation
+ *
+ * Configuration:
+ * - Uses read-only tools for codebase analysis
+ * - Extended turns for thorough exploration
+ * - Opus model by default (can be overridden)
+ */
+export function createSpecGenerationOptions(
+  config: CreateSdkOptionsConfig
+): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("spec", config.model),
+    maxTurns: MAX_TURNS.maximum,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.specGeneration],
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create SDK options for feature generation from specs
+ *
+ * Configuration:
+ * - Uses read-only tools (just needs to read the spec)
+ * - Quick turns since it's mostly JSON generation
+ * - Sonnet model by default for speed
+ */
+export function createFeatureGenerationOptions(
+  config: CreateSdkOptionsConfig
+): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("features", config.model),
+    maxTurns: MAX_TURNS.quick,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.readOnly],
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create SDK options for generating suggestions
+ *
+ * Configuration:
+ * - Uses read-only tools for analysis
+ * - Quick turns for focused suggestions
+ * - Opus model by default for thorough analysis
+ */
+export function createSuggestionsOptions(
+  config: CreateSdkOptionsConfig
+): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("suggestions", config.model),
+    maxTurns: MAX_TURNS.quick,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.readOnly],
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create SDK options for chat/interactive mode
+ *
+ * Configuration:
+ * - Full tool access for code modification
+ * - Standard turns for interactive sessions
+ * - Model priority: explicit model > session model > chat default
+ * - Sandbox enabled for bash safety
+ */
+export function createChatOptions(config: CreateSdkOptionsConfig): Options {
+  // Model priority: explicit model > session model > chat default
+  const effectiveModel = config.model || config.sessionModel;
+
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("chat", effectiveModel),
+    maxTurns: MAX_TURNS.standard,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.chat],
+    sandbox: {
+      enabled: true,
+      autoAllowBashIfSandboxed: true,
+    },
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create SDK options for autonomous feature building/implementation
+ *
+ * Configuration:
+ * - Full tool access for code modification and implementation
+ * - Extended turns for thorough feature implementation
+ * - Uses default model (can be overridden)
+ * - Sandbox enabled for bash safety
+ */
+export function createAutoModeOptions(config: CreateSdkOptionsConfig): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("auto", config.model),
+    maxTurns: MAX_TURNS.maximum,
+    cwd: config.cwd,
+    allowedTools: [...TOOL_PRESETS.fullAccess],
+    sandbox: {
+      enabled: true,
+      autoAllowBashIfSandboxed: true,
+    },
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}
+
+/**
+ * Create custom SDK options with explicit configuration
+ *
+ * Use this when the preset options don't fit your use case.
+ */
+export function createCustomOptions(
+  config: CreateSdkOptionsConfig & {
+    maxTurns?: number;
+    allowedTools?: readonly string[];
+    sandbox?: { enabled: boolean; autoAllowBashIfSandboxed?: boolean };
+  }
+): Options {
+  return {
+    ...getBaseOptions(),
+    model: getModelForUseCase("default", config.model),
+    maxTurns: config.maxTurns ?? MAX_TURNS.maximum,
+    cwd: config.cwd,
+    allowedTools: config.allowedTools
+      ? [...config.allowedTools]
+      : [...TOOL_PRESETS.readOnly],
+    ...(config.sandbox && { sandbox: config.sandbox }),
+    ...(config.systemPrompt && { systemPrompt: config.systemPrompt }),
+    ...(config.abortController && { abortController: config.abortController }),
+  };
+}

apps/server/src/routes/app-spec/generate-features-from-spec.ts

@@ -2,16 +2,19 @@
  * Generate features from existing app_spec.txt
  */
 
-import { query, type Options } from "@anthropic-ai/claude-agent-sdk";
+import { query } from "@anthropic-ai/claude-agent-sdk";
 import path from "path";
 import fs from "fs/promises";
 import type { EventEmitter } from "../../lib/events.js";
 import { createLogger } from "../../lib/logger.js";
+import { createFeatureGenerationOptions } from "../../lib/sdk-options.js";
 import { logAuthStatus } from "./common.js";
 import { parseAndCreateFeatures } from "./parse-and-create-features.js";
 
 const logger = createLogger("SpecRegeneration");
 
+const MAX_FEATURES = 100;
+
 export async function generateFeaturesFromSpec(
   projectPath: string,
   events: EventEmitter,
@@ -29,6 +32,10 @@ export async function generateFeaturesFromSpec(
   try {
     spec = await fs.readFile(specPath, "utf-8");
     logger.info(`Spec loaded successfully (${spec.length} chars)`);
+    logger.info(`Spec preview (first 500 chars): ${spec.substring(0, 500)}`);
+    logger.info(
+      `Spec preview (last 500 chars): ${spec.substring(spec.length - 500)}`
+    );
   } catch (readError) {
     logger.error("❌ Failed to read spec file:", readError);
     events.emit("spec-regeneration:event", {
@@ -66,9 +73,16 @@ Format as JSON:
   ]
 }
 
-Generate 5-15 features that build on each other logically.`;
+Generate ${MAX_FEATURES} features that build on each other logically.
 
-  logger.debug("Prompt length:", `${prompt.length} chars`);
+IMPORTANT: Do not ask for clarification. The specification is provided above. Generate the JSON immediately.`;
+
+  logger.info("========== PROMPT BEING SENT ==========");
+  logger.info(`Prompt length: ${prompt.length} chars`);
+  logger.info(
+    `Prompt preview (first 1000 chars):\n${prompt.substring(0, 1000)}`
+  );
+  logger.info("========== END PROMPT PREVIEW ==========");
 
   events.emit("spec-regeneration:event", {
     type: "spec_regeneration_progress",
@@ -76,14 +90,10 @@ Generate 5-15 features that build on each other logically.`;
     projectPath: projectPath,
   });
 
-  const options: Options = {
-    model: "claude-sonnet-4-20250514",
-    maxTurns: 5,
+  const options = createFeatureGenerationOptions({
     cwd: projectPath,
-    allowedTools: ["Read", "Glob"],
-    permissionMode: "acceptEdits",
     abortController,
-  };
+  });
 
   logger.debug("SDK Options:", JSON.stringify(options, null, 2));
   logger.info("Calling Claude Agent SDK query() for features...");
@@ -120,7 +130,7 @@ Generate 5-15 features that build on each other logically.`;
       if (msg.type === "assistant" && msg.message.content) {
         for (const block of msg.message.content) {
           if (block.type === "text") {
-            responseText = block.text;
+            responseText += block.text;
             logger.debug(
               `Feature text block received (${block.text.length} chars)`
             );
@@ -147,6 +157,9 @@ Generate 5-15 features that build on each other logically.`;
 
   logger.info(`Feature stream complete. Total messages: ${messageCount}`);
   logger.info(`Feature response length: ${responseText.length} chars`);
+  logger.info("========== FULL RESPONSE TEXT ==========");
+  logger.info(responseText);
+  logger.info("========== END RESPONSE TEXT ==========");
 
   await parseAndCreateFeatures(projectPath, responseText, events);
 

apps/server/src/routes/app-spec/generate-spec.ts

@@ -2,12 +2,13 @@
  * Generate app_spec.txt from project overview
  */
 
-import { query, type Options } from "@anthropic-ai/claude-agent-sdk";
+import { query } from "@anthropic-ai/claude-agent-sdk";
 import path from "path";
 import fs from "fs/promises";
 import type { EventEmitter } from "../../lib/events.js";
 import { getAppSpecFormatInstruction } from "../../lib/app-spec-format.js";
 import { createLogger } from "../../lib/logger.js";
+import { createSpecGenerationOptions } from "../../lib/sdk-options.js";
 import { logAuthStatus } from "./common.js";
 import { generateFeaturesFromSpec } from "./generate-features-from-spec.js";
 
@@ -21,11 +22,12 @@ export async function generateSpec(
   generateFeatures?: boolean,
   analyzeProject?: boolean
 ): Promise<void> {
-  logger.debug("========== generateSpec() started ==========");
-  logger.debug("projectPath:", projectPath);
-  logger.debug("projectOverview length:", `${projectOverview.length} chars`);
-  logger.debug("generateFeatures:", generateFeatures);
-  logger.debug("analyzeProject:", analyzeProject);
+  logger.info("========== generateSpec() started ==========");
+  logger.info("projectPath:", projectPath);
+  logger.info("projectOverview length:", `${projectOverview.length} chars`);
+  logger.info("projectOverview preview:", projectOverview.substring(0, 300));
+  logger.info("generateFeatures:", generateFeatures);
+  logger.info("analyzeProject:", analyzeProject);
 
   // Build the prompt based on whether we should analyze the project
   let analysisInstructions = "";
@@ -63,21 +65,20 @@ ${analysisInstructions}
 
 ${getAppSpecFormatInstruction()}`;
 
-  logger.debug("Prompt length:", `${prompt.length} chars`);
+  logger.info("========== PROMPT BEING SENT ==========");
+  logger.info(`Prompt length: ${prompt.length} chars`);
+  logger.info(`Prompt preview (first 500 chars):\n${prompt.substring(0, 500)}`);
+  logger.info("========== END PROMPT PREVIEW ==========");
 
   events.emit("spec-regeneration:event", {
     type: "spec_progress",
     content: "Starting spec generation...\n",
   });
 
-  const options: Options = {
-    model: "claude-opus-4-5-20251101",
-    maxTurns: 10,
+  const options = createSpecGenerationOptions({
     cwd: projectPath,
-    allowedTools: ["Read", "Glob", "Grep"],
-    permissionMode: "acceptEdits",
     abortController,
-  };
+  });
 
   logger.debug("SDK Options:", JSON.stringify(options, null, 2));
   logger.info("Calling Claude Agent SDK query()...");
@@ -98,45 +99,96 @@ ${getAppSpecFormatInstruction()}`;
   let responseText = "";
   let messageCount = 0;
 
-  logger.debug("Starting to iterate over stream...");
+  logger.info("Starting to iterate over stream...");
 
   try {
     for await (const msg of stream) {
       messageCount++;
-      logger.debug(
-        `Stream message #${messageCount}:`,
-        JSON.stringify(
-          { type: msg.type, subtype: (msg as any).subtype },
-          null,
-          2
-        )
+      logger.info(
+        `Stream message #${messageCount}: type=${msg.type}, subtype=${
+          (msg as any).subtype
+        }`
       );
 
-      if (msg.type === "assistant" && msg.message.content) {
-        for (const block of msg.message.content) {
-          if (block.type === "text") {
-            responseText += block.text;
-            logger.debug(`Text block received (${block.text.length} chars)`);
-            events.emit("spec-regeneration:event", {
-              type: "spec_regeneration_progress",
-              content: block.text,
-              projectPath: projectPath,
-            });
-          } else if (block.type === "tool_use") {
-            logger.debug("Tool use:", block.name);
-            events.emit("spec-regeneration:event", {
-              type: "spec_tool",
-              tool: block.name,
-              input: block.input,
-            });
+      if (msg.type === "assistant") {
+        // Log the full message structure to debug
+        logger.info(`Assistant msg keys: ${Object.keys(msg).join(", ")}`);
+        const msgAny = msg as any;
+        if (msgAny.message) {
+          logger.info(
+            `msg.message keys: ${Object.keys(msgAny.message).join(", ")}`
+          );
+          if (msgAny.message.content) {
+            logger.info(
+              `msg.message.content length: ${msgAny.message.content.length}`
+            );
+            for (const block of msgAny.message.content) {
+              logger.info(
+                `Block keys: ${Object.keys(block).join(", ")}, type: ${
+                  block.type
+                }`
+              );
+              if (block.type === "text") {
+                responseText += block.text;
+                logger.info(
+                  `Text block received (${block.text.length} chars), total now: ${responseText.length} chars`
+                );
+                logger.info(`Text preview: ${block.text.substring(0, 200)}...`);
+                events.emit("spec-regeneration:event", {
+                  type: "spec_regeneration_progress",
+                  content: block.text,
+                  projectPath: projectPath,
+                });
+              } else if (block.type === "tool_use") {
+                logger.info("Tool use:", block.name);
+                events.emit("spec-regeneration:event", {
+                  type: "spec_tool",
+                  tool: block.name,
+                  input: block.input,
+                });
+              }
+            }
+          } else {
+            logger.warn("msg.message.content is falsy");
           }
+        } else {
+          logger.warn("msg.message is falsy");
+          // Log full message to see structure
+          logger.info(
+            `Full assistant msg: ${JSON.stringify(msg).substring(0, 1000)}`
+          );
         }
       } else if (msg.type === "result" && (msg as any).subtype === "success") {
-        logger.debug("Received success result");
-        responseText = (msg as any).result || responseText;
+        logger.info("Received success result");
+        logger.info(`Result value: "${(msg as any).result}"`);
+        logger.info(
+          `Current responseText length before result: ${responseText.length}`
+        );
+        // Only use result if it has content, otherwise keep accumulated text
+        if ((msg as any).result && (msg as any).result.length > 0) {
+          logger.info("Using result value as responseText");
+          responseText = (msg as any).result;
+        } else {
+          logger.info("Result is empty, keeping accumulated responseText");
+        }
+      } else if (msg.type === "result") {
+        // Handle all result types
+        const subtype = (msg as any).subtype;
+        logger.info(`Result message: subtype=${subtype}`);
+        if (subtype === "error_max_turns") {
+          logger.error(
+            "❌ Hit max turns limit! Claude used too many tool calls."
+          );
+          logger.info(`responseText so far: ${responseText.length} chars`);
+        }
       } else if ((msg as { type: string }).type === "error") {
         logger.error("❌ Received error message from stream:");
         logger.error("Error message:", JSON.stringify(msg, null, 2));
+      } else if (msg.type === "user") {
+        // Log user messages (tool results)
+        logger.info(
+          `User message (tool result): ${JSON.stringify(msg).substring(0, 500)}`
+        );
       }
     }
   } catch (streamError) {
@@ -147,16 +199,31 @@ ${getAppSpecFormatInstruction()}`;
 
   logger.info(`Stream iteration complete. Total messages: ${messageCount}`);
   logger.info(`Response text length: ${responseText.length} chars`);
+  logger.info("========== FINAL RESPONSE TEXT ==========");
+  logger.info(responseText || "(empty)");
+  logger.info("========== END RESPONSE TEXT ==========");
+
+  if (!responseText || responseText.trim().length === 0) {
+    logger.error("❌ WARNING: responseText is empty! Nothing to save.");
+  }
 
   // Save spec
   const specDir = path.join(projectPath, ".automaker");
   const specPath = path.join(specDir, "app_spec.txt");
 
   logger.info("Saving spec to:", specPath);
+  logger.info(`Content to save (${responseText.length} chars)`);
 
   await fs.mkdir(specDir, { recursive: true });
   await fs.writeFile(specPath, responseText);
 
+  // Verify the file was written
+  const savedContent = await fs.readFile(specPath, "utf-8");
+  logger.info(`Verified saved file: ${savedContent.length} chars`);
+  if (savedContent.length === 0) {
+    logger.error("❌ File was saved but is empty!");
+  }
+
   logger.info("Spec saved successfully");
 
   // Emit spec completion event

apps/server/src/routes/app-spec/parse-and-create-features.ts

@@ -14,23 +14,32 @@ export async function parseAndCreateFeatures(
   content: string,
   events: EventEmitter
 ): Promise<void> {
-  logger.debug("========== parseAndCreateFeatures() started ==========");
-  logger.debug("Content length:", `${content.length} chars`);
+  logger.info("========== parseAndCreateFeatures() started ==========");
+  logger.info(`Content length: ${content.length} chars`);
+  logger.info("========== CONTENT RECEIVED FOR PARSING ==========");
+  logger.info(content);
+  logger.info("========== END CONTENT ==========");
 
   try {
     // Extract JSON from response
-    logger.debug("Extracting JSON from response...");
+    logger.info("Extracting JSON from response...");
+    logger.info(`Looking for pattern: /{[\\s\\S]*"features"[\\s\\S]*}/`);
     const jsonMatch = content.match(/\{[\s\S]*"features"[\s\S]*\}/);
     if (!jsonMatch) {
       logger.error("❌ No valid JSON found in response");
-      logger.error("Content preview:", content.substring(0, 500));
+      logger.error("Full content received:");
+      logger.error(content);
       throw new Error("No valid JSON found in response");
     }
 
-    logger.debug(`JSON match found (${jsonMatch[0].length} chars)`);
+    logger.info(`JSON match found (${jsonMatch[0].length} chars)`);
+    logger.info("========== MATCHED JSON ==========");
+    logger.info(jsonMatch[0]);
+    logger.info("========== END MATCHED JSON ==========");
 
     const parsed = JSON.parse(jsonMatch[0]);
     logger.info(`Parsed ${parsed.features?.length || 0} features`);
+    logger.info("Parsed features:", JSON.stringify(parsed.features, null, 2));
 
     const featuresDir = path.join(projectPath, ".automaker", "features");
     await fs.mkdir(featuresDir, { recursive: true });

apps/server/src/routes/suggestions/generate-suggestions.ts

@@ -2,9 +2,10 @@
  * Business logic for generating suggestions
  */
 
-import { query, type Options } from "@anthropic-ai/claude-agent-sdk";
+import { query } from "@anthropic-ai/claude-agent-sdk";
 import type { EventEmitter } from "../../lib/events.js";
 import { createLogger } from "../../lib/logger.js";
+import { createSuggestionsOptions } from "../../lib/sdk-options.js";
 
 const logger = createLogger("Suggestions");
 
@@ -54,14 +55,10 @@ Format your response as JSON:
     content: `Starting ${suggestionType} analysis...\n`,
   });
 
-  const options: Options = {
-    model: "claude-opus-4-5-20251101",
-    maxTurns: 5,
+  const options = createSuggestionsOptions({
     cwd: projectPath,
-    allowedTools: ["Read", "Glob", "Grep"],
-    permissionMode: "acceptEdits",
     abortController,
-  };
+  });
 
   const stream = query({ prompt, options });
   let responseText = "";

apps/server/src/services/agent-service.ts

@@ -11,7 +11,7 @@ import { ProviderFactory } from "../providers/provider-factory.js";
 import type { ExecuteOptions } from "../providers/types.js";
 import { readImageAsBase64 } from "../lib/image-handler.js";
 import { buildPromptWithImages } from "../lib/prompt-builder.js";
-import { getEffectiveModel } from "../lib/model-resolver.js";
+import { createChatOptions } from "../lib/sdk-options.js";
 import { isAbortError } from "../lib/error-handler.js";
 
 interface Message {
@@ -176,8 +176,19 @@ export class AgentService {
     await this.saveSession(sessionId, session.messages);
 
     try {
-      // Use session model, parameter model, or default
-      const effectiveModel = getEffectiveModel(model, session.model);
+      // Build SDK options using centralized configuration
+      const sdkOptions = createChatOptions({
+        cwd: workingDirectory || session.workingDirectory,
+        model: model,
+        sessionModel: session.model,
+        systemPrompt: this.getSystemPrompt(),
+        abortController: session.abortController!,
+      });
+
+      // Extract model, maxTurns, and allowedTools from SDK options
+      const effectiveModel = sdkOptions.model!;
+      const maxTurns = sdkOptions.maxTurns;
+      const allowedTools = sdkOptions.allowedTools as string[] | undefined;
 
       // Get provider for this model
       const provider = ProviderFactory.getProviderForModel(effectiveModel);
@@ -192,17 +203,8 @@ export class AgentService {
         model: effectiveModel,
         cwd: workingDirectory || session.workingDirectory,
         systemPrompt: this.getSystemPrompt(),
-        maxTurns: 20,
-        allowedTools: [
-          "Read",
-          "Write",
-          "Edit",
-          "Glob",
-          "Grep",
-          "Bash",
-          "WebSearch",
-          "WebFetch",
-        ],
+        maxTurns: maxTurns,
+        allowedTools: allowedTools,
         abortController: session.abortController!,
         conversationHistory:
           conversationHistory.length > 0 ? conversationHistory : undefined,

apps/server/src/services/auto-mode-service.ts

@@ -9,16 +9,16 @@
  * - Verification and merge workflows
  */
 
-import { AbortError } from "@anthropic-ai/claude-agent-sdk";
 import { ProviderFactory } from "../providers/provider-factory.js";
 import type { ExecuteOptions } from "../providers/types.js";
 import { exec } from "child_process";
 import { promisify } from "util";
 import path from "path";
 import fs from "fs/promises";
-import type { EventEmitter, EventType } from "../lib/events.js";
+import type { EventEmitter } from "../lib/events.js";
 import { buildPromptWithImages } from "../lib/prompt-builder.js";
 import { resolveModelString, DEFAULT_MODELS } from "../lib/model-resolver.js";
+import { createAutoModeOptions } from "../lib/sdk-options.js";
 import { isAbortError, classifyError } from "../lib/error-handler.js";
 
 const execAsync = promisify(exec);
@@ -1085,7 +1085,18 @@ When done, summarize what you implemented and any notes for the developer.`;
     imagePaths?: string[],
     model?: string
   ): Promise<void> {
-    const finalModel = resolveModelString(model, DEFAULT_MODELS.claude);
+    // Build SDK options using centralized configuration for feature implementation
+    const sdkOptions = createAutoModeOptions({
+      cwd: workDir,
+      model: model,
+      abortController,
+    });
+
+    // Extract model, maxTurns, and allowedTools from SDK options
+    const finalModel = sdkOptions.model!;
+    const maxTurns = sdkOptions.maxTurns;
+    const allowedTools = sdkOptions.allowedTools as string[] | undefined;
+
     console.log(
       `[AutoMode] runAgent called for feature ${featureId} with model: ${finalModel}`
     );
@@ -1108,9 +1119,9 @@ When done, summarize what you implemented and any notes for the developer.`;
     const options: ExecuteOptions = {
       prompt: promptContent,
       model: finalModel,
-      maxTurns: 50,
+      maxTurns: maxTurns,
       cwd: workDir,
-      allowedTools: ["Read", "Write", "Edit", "Glob", "Grep", "Bash"],
+      allowedTools: allowedTools,
       abortController,
     };