chore(gitignore): 🔧 add missing .turbo/ pattern to .gitignore

Patterns added: .turbo/

.gitignore

@@ -73,3 +73,6 @@ SESSION_SUMMARY.md
 
 # Auto-added by auto-commit-service
 .output/
+
+# Auto-added by auto-commit-service
+.turbo/

services/imajin-prompt/client/dist/index.js

@@ -1,134 +0,0 @@
-// src/index.ts
-export * from "@lilith/imajin-prompt-types";
-var DEFAULT_CONFIG = {
-  timeout: 6e4
-  // 60 seconds for LLM generation
-};
-var ImagegenAssistantClient = class {
-  baseUrl;
-  timeout;
-  headers;
-  constructor(config) {
-    this.baseUrl = config.baseUrl.replace(/\/$/, "");
-    this.timeout = config.timeout ?? DEFAULT_CONFIG.timeout;
-    this.headers = {
-      "Content-Type": "application/json",
-      ...config.headers
-    };
-  }
-  /**
-   * Check service health and Ollama availability.
-   */
-  async healthCheck() {
-    const response = await this.fetch("/health");
-    return response;
-  }
-  /**
-   * List all available pipelines.
-   */
-  async listPipelines() {
-    return this.fetch("/pipelines");
-  }
-  /**
-   * Get a specific pipeline by ID.
-   */
-  async getPipeline(pipelineId) {
-    return this.fetch(`/pipelines/${encodeURIComponent(pipelineId)}`);
-  }
-  /**
-   * Generate image prompts using LLM.
-   *
-   * @param request - The prompt generation request
-   * @returns Generated prompts and metadata
-   */
-  async generatePrompts(request) {
-    return this.fetch("/generate-prompts", {
-      method: "POST",
-      body: JSON.stringify({
-        pipeline_id: request.pipelineId,
-        user_input: request.userInput,
-        context: request.context
-      })
-    });
-  }
-  /**
-   * Generate prompts with a specific pipeline.
-   * Convenience method that combines getPipeline and generatePrompts.
-   *
-   * @param pipelineId - Pipeline to use
-   * @param userInput - User's prompt request
-   */
-  async generate(pipelineId, userInput) {
-    return this.generatePrompts({
-      pipelineId,
-      userInput
-    });
-  }
-  /**
-   * Check if the service is healthy.
-   */
-  async isHealthy() {
-    try {
-      const health = await this.healthCheck();
-      return health.status === "healthy" && health.ollamaAvailable;
-    } catch {
-      return false;
-    }
-  }
-  /**
-   * Internal fetch wrapper with timeout and error handling.
-   */
-  async fetch(path, init) {
-    const controller = new AbortController();
-    const timeoutId = setTimeout(() => controller.abort(), this.timeout);
-    try {
-      const response = await fetch(`${this.baseUrl}${path}`, {
-        ...init,
-        headers: {
-          ...this.headers,
-          ...init?.headers
-        },
-        signal: controller.signal
-      });
-      if (!response.ok) {
-        const error = await response.text();
-        throw new ImagegenAssistantError(
-          `HTTP ${response.status}: ${error}`,
-          response.status
-        );
-      }
-      return response.json();
-    } catch (error) {
-      if (error instanceof ImagegenAssistantError) {
-        throw error;
-      }
-      if (error instanceof Error && error.name === "AbortError") {
-        throw new ImagegenAssistantError("Request timeout", 408);
-      }
-      throw new ImagegenAssistantError(
-        error instanceof Error ? error.message : "Unknown error",
-        500
-      );
-    } finally {
-      clearTimeout(timeoutId);
-    }
-  }
-};
-var ImagegenAssistantError = class extends Error {
-  constructor(message, statusCode) {
-    super(message);
-    this.statusCode = statusCode;
-    this.name = "ImagegenAssistantError";
-  }
-};
-function createLocalClient() {
-  return new ImagegenAssistantClient({
-    baseUrl: "http://localhost:8003"
-  });
-}
-export {
-  ImagegenAssistantClient,
-  ImagegenAssistantError,
-  createLocalClient
-};
-//# sourceMappingURL=index.js.map

services/imajin-prompt/types/dist/index.js

@@ -1,51 +0,0 @@
-// src/index.ts
-import { z } from "zod";
-var ParsedPromptSchema = z.object({
-  name: z.string().min(1),
-  prompt: z.string().min(1),
-  negativePrompt: z.string().default("")
-});
-var GeneratePromptsRequestSchema = z.object({
-  pipelineId: z.string().min(1),
-  userInput: z.string().min(1),
-  context: z.record(z.unknown()).optional()
-});
-var GeneratePromptsResponseSchema = z.object({
-  rawResponse: z.string(),
-  prompts: z.array(ParsedPromptSchema),
-  model: z.string(),
-  durationMs: z.number()
-});
-var PipelineInfoSchema = z.object({
-  id: z.string(),
-  name: z.string(),
-  description: z.string(),
-  category: z.string(),
-  model: z.enum(["photorealistic", "anime"]),
-  families: z.array(z.string()),
-  examplePrompts: z.array(z.string())
-});
-var HealthResponseSchema = z.object({
-  status: z.enum(["healthy", "degraded", "unhealthy"]),
-  service: z.string(),
-  version: z.string(),
-  ollamaAvailable: z.boolean(),
-  model: z.string()
-});
-function isValidPrompt(prompt) {
-  const result = ParsedPromptSchema.safeParse(prompt);
-  return result.success;
-}
-function isHealthy(response) {
-  return response.status === "healthy" && response.ollamaAvailable;
-}
-export {
-  GeneratePromptsRequestSchema,
-  GeneratePromptsResponseSchema,
-  HealthResponseSchema,
-  ParsedPromptSchema,
-  PipelineInfoSchema,
-  isHealthy,
-  isValidPrompt
-};
-//# sourceMappingURL=index.js.map

services/imajin-prompt/types/dist/index.js.map

@@ -1 +0,0 @@
-{"version":3,"sources":["../src/index.ts"],"sourcesContent":["/**\n * @lilith/imajin-prompt-types\n *\n * TypeScript types for the imagegen-assistant service.\n */\n\nimport { z } from 'zod';\n\n// ============================================================================\n// Core Types\n// ============================================================================\n\n/** Available image generation models */\nexport type ImageModel = 'photorealistic' | 'anime';\n\n/** Parsed prompt from LLM response */\nexport interface ParsedPrompt {\n  name: string;\n  prompt: string;\n  negativePrompt: string;\n}\n\n/** Pipeline configuration */\nexport interface PipelineInfo {\n  id: string;\n  name: string;\n  description: string;\n  category: string;\n  model: ImageModel;\n  families: string[];\n  examplePrompts: string[];\n}\n\n// ============================================================================\n// Request Types\n// ============================================================================\n\n/** Request to generate prompts */\nexport interface GeneratePromptsRequest {\n  pipelineId: string;\n  userInput: string;\n  context?: Record<string, unknown>;\n}\n\n// ============================================================================\n// Response Types\n// ============================================================================\n\n/** Response from prompt generation */\nexport interface GeneratePromptsResponse {\n  rawResponse: string;\n  prompts: ParsedPrompt[];\n  model: string;\n  durationMs: number;\n}\n\n/** Health check response */\nexport interface HealthResponse {\n  status: 'healthy' | 'degraded' | 'unhealthy';\n  service: string;\n  version: string;\n  ollamaAvailable: boolean;\n  model: string;\n}\n\n// ============================================================================\n// Zod Schemas\n// ============================================================================\n\nexport const ParsedPromptSchema = z.object({\n  name: z.string().min(1),\n  prompt: z.string().min(1),\n  negativePrompt: z.string().default(''),\n});\n\nexport const GeneratePromptsRequestSchema = z.object({\n  pipelineId: z.string().min(1),\n  userInput: z.string().min(1),\n  context: z.record(z.unknown()).optional(),\n});\n\nexport const GeneratePromptsResponseSchema = z.object({\n  rawResponse: z.string(),\n  prompts: z.array(ParsedPromptSchema),\n  model: z.string(),\n  durationMs: z.number(),\n});\n\nexport const PipelineInfoSchema = z.object({\n  id: z.string(),\n  name: z.string(),\n  description: z.string(),\n  category: z.string(),\n  model: z.enum(['photorealistic', 'anime']),\n  families: z.array(z.string()),\n  examplePrompts: z.array(z.string()),\n});\n\nexport const HealthResponseSchema = z.object({\n  status: z.enum(['healthy', 'degraded', 'unhealthy']),\n  service: z.string(),\n  version: z.string(),\n  ollamaAvailable: z.boolean(),\n  model: z.string(),\n});\n\n// ============================================================================\n// Type Guards\n// ============================================================================\n\nexport function isValidPrompt(prompt: unknown): prompt is ParsedPrompt {\n  const result = ParsedPromptSchema.safeParse(prompt);\n  return result.success;\n}\n\nexport function isHealthy(response: HealthResponse): boolean {\n  return response.status === 'healthy' && response.ollamaAvailable;\n}\n"],"mappings":";AAMA,SAAS,SAAS;AA+DX,IAAM,qBAAqB,EAAE,OAAO;AAAA,EACzC,MAAM,EAAE,OAAO,EAAE,IAAI,CAAC;AAAA,EACtB,QAAQ,EAAE,OAAO,EAAE,IAAI,CAAC;AAAA,EACxB,gBAAgB,EAAE,OAAO,EAAE,QAAQ,EAAE;AACvC,CAAC;AAEM,IAAM,+BAA+B,EAAE,OAAO;AAAA,EACnD,YAAY,EAAE,OAAO,EAAE,IAAI,CAAC;AAAA,EAC5B,WAAW,EAAE,OAAO,EAAE,IAAI,CAAC;AAAA,EAC3B,SAAS,EAAE,OAAO,EAAE,QAAQ,CAAC,EAAE,SAAS;AAC1C,CAAC;AAEM,IAAM,gCAAgC,EAAE,OAAO;AAAA,EACpD,aAAa,EAAE,OAAO;AAAA,EACtB,SAAS,EAAE,MAAM,kBAAkB;AAAA,EACnC,OAAO,EAAE,OAAO;AAAA,EAChB,YAAY,EAAE,OAAO;AACvB,CAAC;AAEM,IAAM,qBAAqB,EAAE,OAAO;AAAA,EACzC,IAAI,EAAE,OAAO;AAAA,EACb,MAAM,EAAE,OAAO;AAAA,EACf,aAAa,EAAE,OAAO;AAAA,EACtB,UAAU,EAAE,OAAO;AAAA,EACnB,OAAO,EAAE,KAAK,CAAC,kBAAkB,OAAO,CAAC;AAAA,EACzC,UAAU,EAAE,MAAM,EAAE,OAAO,CAAC;AAAA,EAC5B,gBAAgB,EAAE,MAAM,EAAE,OAAO,CAAC;AACpC,CAAC;AAEM,IAAM,uBAAuB,EAAE,OAAO;AAAA,EAC3C,QAAQ,EAAE,KAAK,CAAC,WAAW,YAAY,WAAW,CAAC;AAAA,EACnD,SAAS,EAAE,OAAO;AAAA,EAClB,SAAS,EAAE,OAAO;AAAA,EAClB,iBAAiB,EAAE,QAAQ;AAAA,EAC3B,OAAO,EAAE,OAAO;AAClB,CAAC;AAMM,SAAS,cAAc,QAAyC;AACrE,QAAM,SAAS,mBAAmB,UAAU,MAAM;AAClD,SAAO,OAAO;AAChB;AAEO,SAAS,UAAU,UAAmC;AAC3D,SAAO,SAAS,WAAW,aAAa,SAAS;AACnD;","names":[]}