The Formal Letter Forge

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Your writing style must be disciplined, employing a sophisticated, 'third-choice' vocabulary and adhering to traditional English grammar (emulating a 1990s textbook or Britannica style). Every sentence must be complete, well-paced, and contribute to a measured, intelligent tone. Avoid all modern marketing clichés, social media colloquialisms, AI-associated filler phrases, and overly dramatic or emotional language. The objective is to produce content that is perceived as having been meticulously prepared by a human expert.\n`;\n\nconst PROMPT_ANALYZE = `\nYou are a paralegal and logical analyst. Your task is to receive a user's unstructured input about a situation and distill it into a structured, logical framework. Analyze the provided context, timeline, and documents. Identify the core objective, the sequence of events, key factual arguments, any mentioned evidence, and the user's desired resolution. Your output must be ONLY a single, minified JSON object with the following keys: \"objective\", \"timelineEvents\" (an array of strings), \"keyArguments\" (an array of strings), \"evidenceMentioned\" (an array of strings), and \"desiredResolution\". Do not add any conversational text or explanations.\n\n${GENERATION_STYLE_GUIDE}\n`;\n\nconst PROMPT_COMPOSE = `\nYou are a master of formal correspondence. Using the provided JSON outline, you will compose a formal letter. The tone must be assertive, dispassionate, and impeccably professional. Adhere strictly to standard business letter format, including sender's address, date, recipient's address, a formal salutation, the main body, and a formal closing. The body of the letter must present the arguments from the JSON outline in a clear, logical progression.\n\n${GENERATION_STYLE_GUIDE}\n\nRespond with ONLY a single, minified JSON object containing one key: \"letterText\".\n`;\n\nconst PROMPT_REDTEAM_REVIEW = `\nYou are an adversarial reviewer, taking on the persona of a skeptical corporate counsel or bureaucrat who is the recipient of a formal letter. Your objective is to identify any and all weaknesses in the document. Scrutinize the text for ambiguous language, logical fallacies, emotional tones, unsupported claims, or anything that would allow the receiving party to dismiss, deny, or misinterpret the letter's intent. Provide a concise, actionable critique.\n\n${GENERATION_STYLE_GUIDE}\n\nRespond with ONLY a single, minified JSON object with two keys: \"critique\" (a single paragraph summarizing the letter's vulnerabilities) and \"suggestions\" (an array of strings, where each string is a specific recommended revision to enhance the letter's impact and remove weaknesses).\n`;\n\nconst PROMPT_REVISE = `\nYou are an expert editor tasked with refining a formal letter. You will be given an original draft and a set of critiques from an adversarial reviewer. Your goal is to apply the suggested revisions to improve the letter's clarity, logic, and impact. Do not simply accept every suggestion blindly; use your editorial judgment to integrate the feedback in a way that strengthens the overall document. Maintain the formal tone and professional style of the original.\n\n${GENERATION_STYLE_GUIDE}\n\nRespond ONLY with a single, minified JSON object containing one key: \"revisedLetterText\".\n`;\n\n// --- HTML & FRONTEND ---\n\nfunction generateHtml(sourceUrl: string) {\n return `\n\n\n \n \n The Formal Letter Forge\n \n \n \n\n\n\n

\n \n\n

\n \n

\n\n

Analyzing Your Input...

Our AI strategist is structuring the key points of your case.

\n\n

Generated Correspondence

Below is the revised draft, which has already undergone one round of internal AI-driven critique and refinement. A final adversarial review is provided to highlight any remaining considerations.

\n\n

Adversarial Review

Suggested Refinements:

\n \n

\n\n

\n\n\n\n`;\n}\n\n// --- VAL TOWN HTTP ENDPOINT ---\n\nexport default async function(req: Request) {\n const url = new URL(req.url);\n const action = url.searchParams.get(\"action\");\n const openai = new OpenAI();\n\n if (req.method !== \"POST\") {\n // Serve HTML for GET requests\n return new Response(generateHtml(url.origin + url.pathname), { headers: { \"Content-Type\": \"text/html\" } });\n }\n\n if (action === \"forge\") {\n try {\n const userInput = await req.json();\n\n // --- Stage 1: Analyze Input ---\n const userContext = `\n Objective: ${userInput.objective}\n Recipient: ${userInput.recipient}\n Sender: ${userInput.sender}\n Background: ${userInput.context}\n Desired Resolution: ${userInput.resolution}\n `;\n const analysisCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: PROMPT_ANALYZE }, { role: \"user\", content: userContext }],\n response_format: { type: \"json_object\" },\n });\n const structuredOutline = JSON.parse(analysisCompletion.choices[0].message.content);\n\n // --- Stage 2: Compose Pre-Draft (v0.1) ---\n const preDraftPayload = {\n ...structuredOutline,\n recipient: userInput.recipient,\n sender: userInput.sender,\n };\n const composeCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: PROMPT_COMPOSE }, {\n role: \"user\",\n content: `JSON Outline: ${\n JSON.stringify(structuredOutline)\n }\\n---\\nRecipient Address: ${userInput.recipient}\\n---\\nSender Address: ${userInput.sender}`,\n }],\n response_format: { type: \"json_object\" },\n });\n const { letterText: preDraftText } = JSON.parse(composeCompletion.choices[0].message.content);\n\n // --- Stage 3: Internal Critique of Pre-Draft ---\n const firstReviewCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: PROMPT_REDTEAM_REVIEW }, { role: \"user\", content: preDraftText }],\n response_format: { type: \"json_object\" },\n });\n const firstCritique = JSON.parse(firstReviewCompletion.choices[0].message.content);\n\n // --- Stage 4: Revise Draft based on Critique (v1.0) ---\n const revisionUserMessage = `Original Draft:\\n${preDraftText}\\n\\n---\\n\\nAdversarial Critique:\\n${\n JSON.stringify(firstCritique)\n }`;\n const revisionCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: PROMPT_REVISE }, { role: \"user\", content: revisionUserMessage }],\n response_format: { type: \"json_object\" },\n });\n const { revisedLetterText } = JSON.parse(revisionCompletion.choices[0].message.content);\n\n // --- Stage 5: Final Critique of Revised Draft ---\n const finalReviewCompletion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: PROMPT_REDTEAM_REVIEW }, { role: \"user\", content: revisedLetterText }],\n response_format: { type: \"json_object\" },\n });\n const finalCritique = JSON.parse(finalReviewCompletion.choices[0].message.content);\n\n // --- Final Payload to Client ---\n return new Response(JSON.stringify({ revisedLetterText, finalCritique }), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(`Error during 'forge' action:`, error);\n return new Response(JSON.stringify({ error: error.message || \"An internal server error occurred.\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n // Fallback for other actions or invalid requests\n return new Response(JSON.stringify({ error: \"Invalid action specified.\" }), {\n status: 400,\n headers: { \"Content-Type\": \"application/json\" },\n 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