AgentFlow | Tribal Knowledge Engine

\n \n\n`;\n}\n\n// --- HTTP REQUEST HANDLER (NEW API) ---\nconst app = new Hono();\n\n// 1. Iterative Discovery\napp.post(\"/discover\", async (c: Context) => {\n const body = await c.req.json().catch(() => ({}));\n const { goal = \"\", knowledgeBase = {}, history = [] } = body;\n const historyString = (history as any[]).map((h) => `${h.role}: ${h.content}`).join(\"\\n\");\n\n const prompt = KNOWLEDGE_GATHERER_PROTOCOL\n .replace(\"{{goal}}\", goal)\n .replace(\"{{knowledgeBase}}\", JSON.stringify(knowledgeBase))\n .replace(\"{{history}}\", historyString);\n\n const result = await services.callAI(prompt, \"Proceed.\", { isJson: true });\n return c.json(result);\n});\n\n// 2. Deliberation\napp.post(\"/deliberate\", async (c: Context) => {\n const body = await c.req.json().catch(() => ({}));\n const { knowledgeBase = {} } = body;\n\n const prompt = SCHEMA_ARCHITECT_COUNCIL\n .replace(\"{{knowledgeBase}}\", JSON.stringify(knowledgeBase, null, 2));\n\n const result = await services.callAI(\n prompt,\n \"Generate the final JSON Schema.\",\n { model: \"gpt-4o\", isJson: true },\n );\n return c.json(result);\n});\n\n// 3. Interrogation\napp.post(\"/interrogate\", async (c: Context) => {\n const body = await c.req.json().catch(() => ({}));\n const { schema = {}, context = {}, history = [] } = body;\n const historyString = (history as any[]).map((h) => `${h.role}: ${h.content}`).join(\"\\n\");\n\n const prompt = INTERROGATOR_AGENT\n .replace(\"{{schema}}\", JSON.stringify(schema))\n .replace(\"{{context}}\", JSON.stringify(context))\n .replace(\"{{history}}\", historyString);\n\n const result = await services.callAI(prompt, \"Proceed.\", { isJson: true });\n return c.json(result);\n});\n\n// 4. Generation (Streaming)\napp.post(\"/generate\", async (c: Context) => {\n const { knowledgeBase, schema, context } = await c.req.json();\n\n // Step 4a: Create the Production Prompt\n const promptEngineerSystem = FINAL_PROMPT_ENGINEER\n .replace(\"{{knowledgeBase}}\", JSON.stringify(knowledgeBase, null, 2))\n .replace(\"{{schema}}\", JSON.stringify(schema, null, 2))\n .replace(\"{{context}}\", JSON.stringify(context, null, 2));\n\n const productionPrompt = await services.callAI(\n promptEngineerSystem,\n \"Generate the production prompt.\",\n { model: \"gpt-4o\" },\n );\n\n // Step 4b: Stream the Formatted Document with strict formatter\n const formatterSystem = DOCUMENT_FORMATTER.replace(\"{{productionPrompt}}\", productionPrompt);\n\n return streamSSE(c, async (stream) => {\n await services.callAIStreaming(\n formatterSystem,\n \"\",\n async (delta) => {\n await stream.write(delta);\n },\n );\n });\n\n\n // Step 4b: Stream the Formatted Document as plain text\n return streamText(c, async (stream) => {\n const formatterSystem = DOCUMENT_FORMATTER.replace(\"{{productionPrompt}}\", productionPrompt);\n await services.callAIStreaming(\n formatterSystem,\n \"\",\n async (delta) => {\n await stream.write(delta);\n },\n );\n });\n});\n\n// --- Main HTTP Server ---\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const path = url.pathname;\n\n // Serve the React App UI\n if (req.method === \"GET\" && (path === \"/\" || path.endsWith(\"/ui\"))) {\n const basePath = url.pathname.substring(0, url.pathname.lastIndexOf(\"/\"));\n const sourceUrl = `https://${url.hostname}${basePath || \"\"}`;\n return new Response(generateHtml(sourceUrl), {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n // Pass API requests to Hono\n return app.fetch(req);\n}","deleted","label",[99],"permalink","https://www.val.town/x/bomb/untitled-5045/code/main.ts","extension","actionData","errors"]