The Formal Letter Forge

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Analyzing Your Input...

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

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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.

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Adversarial Review

Suggested Refinements:

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\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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