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DraftPromptParams,
RewritePromptParams,
MetaPromptParams,
TopicSuggestionPromptParams,
} from "./prompts";
import {
buildDraftPrompt,
buildRewritePrompt,
buildMetaPrompt,
buildTopicSuggestionPrompt,
} from "./prompts";
/**
* Response types for AI service methods
*/
export interface GenerateDraftResponse {
content: string; // Markdown content
}
export interface RewriteSectionResponse {
revisedContent: string; // Markdown content
}
export interface GenerateMetaResponse {
title: string;
meta_description: string;
suggested_slug: string;
}
export interface TopicSuggestion {
title: string;
blog_type: "general" | "project_spotlight" | "hybrid";
primary_keyword: string;
secondary_keywords: string[];
outline: string;
seo_value: string;
pro_angle?: string;
}
export interface SuggestTopicsResponse {
suggestions: TopicSuggestion[];
}
/**
* Claude API response structure
*/
interface ClaudeAPIResponse {
content: Array<{ type: string; text: string }>;
[key: string]: unknown;
}
/**
* AI Service interface
*/
export interface AIService {
generateDraft(params: DraftPromptParams): Promise<GenerateDraftResponse>;
rewriteSection(params: RewritePromptParams): Promise<RewriteSectionResponse>;
generateMeta(params: MetaPromptParams): Promise<GenerateMetaResponse>;
suggestTopics(
params: TopicSuggestionPromptParams,
): Promise<SuggestTopicsResponse>;
/** General-purpose JSON generation — sends a prompt, parses JSON response */
generateJSON<T>(prompt: string, options?: { model?: "opus" | "haiku"; maxTokens?: number; temperature?: number }): Promise<T>;
/** Generate free-form text content from a prompt */
generateText(prompt: string, options?: { model?: "opus" | "haiku"; maxTokens?: number; temperature?: number }): Promise<string>;
}
/**
* Extract JSON from Claude API response that may be wrapped in markdown code blocks
* Handles formats like:
* - ```json\n{...}\n```
* - ```\n{...}\n```
* - Plain JSON: {...}
* - Text before/after JSON: "Here's the response:\n{...}\n"
*/
function extractJSON(text: string): string {
const trimmed = text.trim();
// Try to extract from markdown code blocks first
const codeBlockPattern = /```(?:json)?\s*\n?([\s\S]*?)\n?```/;
const codeBlockMatch = trimmed.match(codeBlockPattern);
if (codeBlockMatch?.[1]) {
return sanitizeJSON(codeBlockMatch[1].trim());
}
// Try to find JSON array or object in the text
// Look for patterns starting with [ or {
const jsonArrayPattern = /(\[[\s\S]*\])/;
const jsonObjectPattern = /(\{[\s\S]*\})/;
const arrayMatch = trimmed.match(jsonArrayPattern);
if (arrayMatch?.[1]) {
return sanitizeJSON(arrayMatch[1].trim());
}
const objectMatch = trimmed.match(jsonObjectPattern);
if (objectMatch?.[1]) {
return sanitizeJSON(objectMatch[1].trim());
}
// Fall back to trimmed original text
return sanitizeJSON(trimmed);
}
/**
* Sanitize JSON string by escaping control characters within string values.
* This fixes issues where Claude returns JSON with unescaped newlines/tabs
* inside string values, which breaks JSON.parse().
*
* Strategy: Replace literal control characters with their escaped versions,
* but only within quoted strings (not in structural JSON).
*/
function sanitizeJSON(jsonText: string): string {
let result = "";
let inString = false;
let escaped = false;
for (let i = 0; i < jsonText.length; i++) {
const char = jsonText[i];
// Track if we're inside a string
if (char === '"' && !escaped) {
inString = !inString;
result += char;
continue;
}
// Track escape sequences
if (char === "\\" && !escaped) {
escaped = true;
result += char;
continue;
}
if (escaped) {
escaped = false;
result += char;
continue;
}
// If we're inside a string, escape control characters
if (inString) {
switch (char) {
case "\n":
result += "\\n";
break;
case "\r":
result += "\\r";
break;
case "\t":
result += "\\t";
break;
case "\b":
result += "\\b";
break;
case "\f":
result += "\\f";
break;
default: {
// Check for other control characters (ASCII 0-31)
const code = char.charCodeAt(0);
if (code < 32 && code !== 10 && code !== 13 && code !== 9) {
// Escape as unicode
result += `\\u${code.toString(16).padStart(4, "0")}`;
} else {
result += char;
}
}
}
} else {
// Outside strings, preserve as-is
result += char;
}
}
return result;
}
/**
* Claude API configuration
*/
const CLAUDE_MODELS = {
// Use Opus 4.5 for content generation (drafts, rewrites) - latest model with best quality
OPUS: "claude-opus-4-5-20251101",
// Use Haiku 4.5 for faster, cheaper operations (meta, suggestions)
HAIKU: "claude-haiku-4-5-20251001",
} as const;
const MAX_TOKENS = {
DRAFT: 4096, // Full blog content
REWRITE: 2048, // Section rewrite
META: 512, // Short metadata
TOPICS: 2048, // Topic suggestions list
} as const;
/**
* Build the Claude API endpoint URL.
* If AI Gateway is configured (both CLOUDFLARE_ACCOUNT_ID and AI_GATEWAY_SLUG set),
* routes through Cloudflare AI Gateway for caching, analytics, and rate limiting.
* Otherwise falls back to direct Anthropic API.
*/
function getClaudeApiUrl(env?: {
CLOUDFLARE_ACCOUNT_ID?: string;
AI_GATEWAY_SLUG?: string;
}): string {
if (env?.CLOUDFLARE_ACCOUNT_ID && env?.AI_GATEWAY_SLUG) {
return `https://gateway.ai.cloudflare.com/v1/${env.CLOUDFLARE_ACCOUNT_ID}/${env.AI_GATEWAY_SLUG}/anthropic/v1/messages`;
}
return "https://api.anthropic.com/v1/messages";
}
/**
* Real Claude API implementation using direct fetch for Cloudflare Workers compatibility.
* Supports optional Cloudflare AI Gateway for caching, analytics, and rate limiting.
*/
class ClaudeAIService implements AIService {
private apiKey: string;
private apiUrl: string;
constructor(
apiKey: string,
env?: { CLOUDFLARE_ACCOUNT_ID?: string; AI_GATEWAY_SLUG?: string },
) {
this.apiKey = apiKey;
this.apiUrl = getClaudeApiUrl(env);
const usingGateway = this.apiUrl.includes("gateway.ai.cloudflare.com");
console.log(
`[ClaudeAIService] Service initialized (AI Gateway: ${usingGateway ? "enabled" : "disabled"})`,
);
}
/**
* Call Claude API using fetch for better Cloudflare Workers compatibility
*/
private async callClaudeAPI(
model: string,
maxTokens: number,
temperature: number,
messages: Array<{ role: string; content: string }>,
): Promise<ClaudeAPIResponse> {
const response = await fetch(this.apiUrl, {
method: "POST",
headers: {
"Content-Type": "application/json",
"x-api-key": this.apiKey,
"anthropic-version": "2023-06-01",
},
body: JSON.stringify({
model,
max_tokens: maxTokens,
temperature,
messages,
}),
});
if (!response.ok) {
const errorBody = await response.text();
console.error("[ClaudeAPI] API call failed:", {
status: response.status,
statusText: response.statusText,
body: errorBody,
});
// Provide specific error messages based on status code
if (response.status === 401 || response.status === 403) {
throw new Error(
"AI service authentication failed. Please verify CLAUDE_API_KEY is correct.",
);
}
if (response.status === 429) {
throw new Error(
"AI service rate limit exceeded. Please try again in a few minutes.",
);
}
if (response.status === 503 || response.status === 502) {
throw new Error(
"AI service temporarily unavailable. Please try again later.",
);
}
if (response.status === 400) {
throw new Error(
`Invalid request to AI service: ${errorBody.substring(0, 100)}`,
);
}
throw new Error(
`Claude API error: ${response.status} ${response.statusText}`,
);
}
return response.json();
}
async generateDraft(
params: DraftPromptParams,
): Promise<GenerateDraftResponse> {
try {
const prompt = buildDraftPrompt(params);
console.log(
"[generateDraft] Starting AI draft generation with model:",
CLAUDE_MODELS.OPUS,
);
console.log(
"[generateDraft] Prompt length:",
prompt.length,
"characters",
);
const response = await this.callClaudeAPI(
CLAUDE_MODELS.OPUS,
MAX_TOKENS.DRAFT,
0.7, // Some creativity for engaging content
[
{
role: "user",
content: prompt,
},
],
);
console.log(
"[generateDraft] AI response received, content blocks:",
response.content?.length,
);
// Extract text content from response
const content =
response.content?.[0]?.type === "text" ? response.content[0].text : "";
console.log(
"[generateDraft] Extracted content length:",
content.length,
"characters",
);
return { content };
} catch (err) {
// Enhanced error logging with more details
const errorDetails: { name: string; message: string } = {
name: err instanceof Error ? err.name : "Unknown",
message: err instanceof Error ? err.message : String(err),
};
console.error(
"[generateDraft] AI draft generation failed:",
errorDetails,
);
console.error("[generateDraft] Full error:", err);
throw new Error(
"AI service error: " +
(err instanceof Error ? err.message : "Unknown error"),
);
}
}
async rewriteSection(
params: RewritePromptParams,
): Promise<RewriteSectionResponse> {
try {
const prompt = buildRewritePrompt(params);
const response = await this.callClaudeAPI(
CLAUDE_MODELS.OPUS,
MAX_TOKENS.REWRITE,
0.5, // Moderate creativity, stay closer to original
[
{
role: "user",
content: prompt,
},
],
);
const revisedContent =
response.content?.[0]?.type === "text" ? response.content[0].text : "";
return { revisedContent };
} catch (err) {
const safeError =
err instanceof Error
? { message: err.message, name: err.name }
: { error: "Unknown error" };
console.error("AI section rewrite failed:", safeError);
throw new Error(
`AI service error: ${err instanceof Error ? err.message : "Unknown"}`,
);
}
}
async generateMeta(params: MetaPromptParams): Promise<GenerateMetaResponse> {
try {
const prompt = buildMetaPrompt(params);
const response = await this.callClaudeAPI(
CLAUDE_MODELS.HAIKU, // Use faster model for structured output
MAX_TOKENS.META,
0, // Deterministic for consistent metadata
[
{
role: "user",
content: prompt,
},
],
);
const jsonText =
response.content?.[0]?.type === "text"
? response.content[0].text
: "{}";
try {
// Extract JSON from potential markdown wrapper and parse
const cleanedJSON = extractJSON(jsonText);
const parsed = JSON.parse(cleanedJSON) as GenerateMetaResponse;
return {
title: parsed.title || "",
meta_description: parsed.meta_description || "",
suggested_slug: parsed.suggested_slug || "",
};
} catch (parseError) {
/* v8 ignore start -- defensive: JSON.parse always throws Error subclass */
const errMsg =
parseError instanceof Error ? parseError.message : String(parseError);
const errName =
parseError instanceof Error ? parseError.name : "Unknown";
/* v8 ignore stop */
console.error(
"Failed to parse meta generation response:",
{ message: errMsg, name: errName },
"Response preview:",
jsonText.substring(0, 200),
);
throw new Error("Invalid JSON response from AI service");
}
} catch (err) {
const safeError =
err instanceof Error
? { message: err.message, name: err.name }
: { error: "Unknown error" };
console.error("AI meta generation failed:", safeError);
throw new Error(
`AI service error: ${err instanceof Error ? err.message : "Unknown"}`,
);
}
}
async generateJSON<T>(
prompt: string,
options?: { model?: "opus" | "haiku"; maxTokens?: number; temperature?: number },
): Promise<T> {
const model = options?.model === "opus" ? CLAUDE_MODELS.OPUS : CLAUDE_MODELS.HAIKU;
const response = await this.callClaudeAPI(
model,
options?.maxTokens ?? 2048,
options?.temperature ?? 0,
[{ role: "user", content: prompt }],
);
const text = response.content?.[0]?.type === "text" ? response.content[0].text : "{}";
const cleaned = extractJSON(text);
return JSON.parse(cleaned) as T;
}
async generateText(
prompt: string,
options?: { model?: "opus" | "haiku"; maxTokens?: number; temperature?: number },
): Promise<string> {
const model = options?.model === "opus" ? CLAUDE_MODELS.OPUS : CLAUDE_MODELS.HAIKU;
const response = await this.callClaudeAPI(
model,
options?.maxTokens ?? 4096,
options?.temperature ?? 0.7,
[{ role: "user", content: prompt }],
);
return response.content?.[0]?.type === "text" ? response.content[0].text : "";
}
async suggestTopics(
params: TopicSuggestionPromptParams,
): Promise<SuggestTopicsResponse> {
try {
const prompt = buildTopicSuggestionPrompt(params);
const response = await this.callClaudeAPI(
CLAUDE_MODELS.HAIKU, // Use faster model for suggestions
MAX_TOKENS.TOPICS,
0.8, // Higher creativity for diverse topic ideas
[
{
role: "user",
content: prompt,
},
],
);
const jsonText =
response.content?.[0]?.type === "text"
? response.content[0].text
: "[]";
// Debug logging - log first 500 chars of raw response
console.log(
"[suggestTopics] Raw Claude response (first 500 chars):",
jsonText.substring(0, 500),
);
try {
// Extract JSON from potential markdown wrapper and parse
const cleanedJSON = extractJSON(jsonText);
console.log(
"[suggestTopics] Cleaned JSON (first 500 chars):",
cleanedJSON.substring(0, 500),
);
const suggestions = JSON.parse(cleanedJSON) as TopicSuggestion[];
return { suggestions };
} catch (parseError) {
/* v8 ignore start -- defensive: JSON.parse always throws Error subclass */
const errMsg =
parseError instanceof Error ? parseError.message : String(parseError);
const errName =
parseError instanceof Error ? parseError.name : "Unknown";
/* v8 ignore stop */
console.error(
"Failed to parse topic suggestions response:",
{ message: errMsg, name: errName },
"Response preview:",
jsonText.substring(0, 200),
);
throw new Error("Invalid JSON response from AI service");
}
} catch (err) {
const safeError =
err instanceof Error
? { message: err.message, name: err.name }
: { error: "Unknown error" };
console.error("AI topic suggestion failed:", safeError);
throw new Error(
`AI service error: ${err instanceof Error ? err.message : "Unknown"}`,
);
}
}
}
/**
* Mock AI service for testing and when AI is disabled
*/
class MockAIService implements AIService {
async generateDraft(
params: DraftPromptParams,
): Promise<GenerateDraftResponse> {
return {
content: `# ${params.title}\n\n[Mock AI-generated content for blog about "${params.primaryKeyword}"]\n\nThis is a placeholder draft. AI features are currently disabled.`,
};
}
async rewriteSection(
_params: RewritePromptParams,
): Promise<RewriteSectionResponse> {
return {
revisedContent:
"[Mock AI-rewritten content]\n\nThis is a placeholder revision. AI features are currently disabled.",
};
}
async generateMeta(params: MetaPromptParams): Promise<GenerateMetaResponse> {
// Generate basic metadata from keyword
const keyword = params.primaryKeyword;
const slug = keyword.toLowerCase().replace(/\s+/g, "-");
return {
title: `${keyword.charAt(0).toUpperCase() + keyword.slice(1)} | Decor Rocket`,
meta_description: `Learn about ${keyword} with expert tips and ideas from Decor Rocket.`,
suggested_slug: slug,
};
}
async suggestTopics(
_params: TopicSuggestionPromptParams,
): Promise<SuggestTopicsResponse> {
return {
suggestions: [
{
title: "Mock Blog Topic: Interior Design Ideas",
blog_type: "general",
primary_keyword: "interior design ideas",
secondary_keywords: ["home decor", "design tips"],
outline:
"1. Introduction\n2. Main content\n3. Tips\n4. Conclusion\n5. CTA",
seo_value:
"Mock suggestion - AI features currently disabled for topic generation",
pro_angle: "Feature pros with relevant expertise",
},
],
};
}
async generateJSON<T>(_prompt: string): Promise<T> {
return {} as T;
}
async generateText(_prompt: string): Promise<string> {
return "[Mock AI text - AI features currently disabled]";
}
}
/**
* Factory function to create appropriate AI service based on environment
* Returns mock service ONLY if AI features are explicitly disabled
* Throws error if AI is enabled but API key is missing (fail fast)
*/
export function createAIService(env: CloudflareBindings): AIService {
const aiEnabled = env.ENABLE_AI_FEATURES === "true";
const hasApiKey = !!env.CLAUDE_API_KEY;
console.log("[createAIService] AI enabled:", aiEnabled);
// AI explicitly disabled - use mock service
if (!aiEnabled) {
console.warn(
"[createAIService] AI features explicitly disabled, using mock service",
);
return new MockAIService();
}
// AI enabled but no API key - this is a configuration error, fail fast
if (!hasApiKey) {
console.error(
"[createAIService] CLAUDE_API_KEY not configured but AI is enabled",
);
throw new Error(
"AI features enabled but CLAUDE_API_KEY not configured. Please set CLAUDE_API_KEY environment variable or disable AI features.",
);
}
// AI enabled with API key - use real service (guaranteed to exist after check above)
console.log("[createAIService] Creating Claude AI service");
const apiKey = env.CLAUDE_API_KEY;
/* v8 ignore start -- defensive guard; apiKey validated above */
if (!apiKey) {
throw new Error("CLAUDE_API_KEY is required but not found");
}
/* v8 ignore stop */
return new ClaudeAIService(apiKey, env);
}
/**
* Check if AI features are enabled in the environment
*/
export function isAIEnabled(env: CloudflareBindings): boolean {
return env.ENABLE_AI_FEATURES === "true" && !!env.CLAUDE_API_KEY;
}
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