Initial

2026-05-11 22:27:54 -04:00
commit ea05c521c3
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+import Anthropic from '@anthropic-ai/sdk'
+
+/**
+ * Netlify Functions v2 handler.
+ *
+ * Proxies a request from the React frontend to the Anthropic Messages API,
+ * configured for a Managed Agent workflow. We pipe `content_block_delta`
+ * events directly to the client through a ReadableStream so we never hit
+ * Netlify's 26-second synchronous execution limit.
+ */
+
+// ---------------------------------------------------------------------------
+// Managed Agent configuration
+// ---------------------------------------------------------------------------
+// If you have provisioned a Managed Agent in the Anthropic console, set its
+// ID here (or via the AGENT_ID env var). When AGENT_ID is present the call
+// is routed to that agent. Otherwise we fall back to a system-prompt-driven
+// "virtual agent" that defines the persona inline.
+const AGENT_ID = process.env.ANTHROPIC_AGENT_ID || 'YOUR_AGENT_ID_HERE'
+
+const SYSTEM_PROMPT = `You are the "PMC Funder Discovery Agent", an expert
+fundraising consultant for U.S. public media stations (NPR/PBS member
+stations, community radio, and independent public broadcasters).
+
+Your job is to take a brief intake form about a public media station and
+produce a tailored funding outlook that includes:
+  1. A short profile of the station based on the supplied details.
+  2. 3-5 likely foundation funders that match the station's mission and
+     geography (CPB, Knight, MacArthur, Wyncote, regional community
+     foundations, etc.).
+  3. 2-3 corporate underwriting angles relevant to the station's market.
+  4. Concrete next steps for the development director.
+
+Write in clear, direct prose. Use Markdown headings and bullet lists. If
+you need additional information, you may emit a tool_use block requesting
+it; otherwise produce the brief in one pass. Avoid speculation about
+specific dollar amounts.`
+
+const MODEL = process.env.ANTHROPIC_MODEL || 'claude-sonnet-4-5'
+
+// ---------------------------------------------------------------------------
+// Handler
+// ---------------------------------------------------------------------------
+export default async (req /*, context */) => {
+  if (req.method !== 'POST') {
+    return new Response('Method Not Allowed', { status: 405 })
+  }
+
+  let payload
+  try {
+    payload = await req.json()
+  } catch {
+    return new Response('Invalid JSON body', { status: 400 })
+  }
+
+  const {
+    userName = '',
+    userEmail = '',
+    stationName = '',
+    stationLocation = '',
+    stationWebsite = '',
+  } = payload || {}
+
+  // Server-side URL validation (mirrors the client-side regex).
+  const URL_REGEX =
+    /^(https?:\/\/)?([\w-]+\.)+[\w-]{2,}(\/[\w\-._~:/?#[\]@!$&'()*+,;=%]*)?$/i
+  if (!URL_REGEX.test(stationWebsite)) {
+    return new Response('Invalid station website URL', { status: 400 })
+  }
+
+  if (!process.env.ANTHROPIC_API_KEY) {
+    return new Response('Server is missing ANTHROPIC_API_KEY', { status: 500 })
+  }
+
+  const client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY })
+
+  const userMessage = `Here is a new public media station intake:
+
+- Submitter Name: ${userName}
+- Submitter Email: ${userEmail}
+- Station Name: ${stationName}
+- Station Location: ${stationLocation}
+- Station Website: ${stationWebsite}
+
+Please draft the funding outlook brief described in your instructions.`
+
+  // ----- Build the streaming request -----
+  // Note: when calling a Managed Agent, the Anthropic SDK accepts an
+  // `agent_id` field on the messages.stream() call. We include it
+  // conditionally so the same code path also works with a plain system
+  // prompt while you're wiring things up.
+  const streamArgs = {
+    model: MODEL,
+    max_tokens: 10000,
+    system: SYSTEM_PROMPT,
+    messages: [{ role: 'user', content: userMessage }],
+  }
+  if (AGENT_ID && AGENT_ID !== 'YOUR_AGENT_ID_HERE') {
+    streamArgs.agent_id = AGENT_ID
+  }
+
+  const upstream = client.messages.stream(streamArgs)
+
+  // ----- Pipe content_block_delta events straight to the client -----
+  const encoder = new TextEncoder()
+  const stream = new ReadableStream({
+    async start(controller) {
+      try {
+        for await (const event of upstream) {
+          if (
+            event.type === 'content_block_delta' &&
+            event.delta?.type === 'text_delta' &&
+            event.delta.text
+          ) {
+            controller.enqueue(encoder.encode(event.delta.text))
+          }
+
+          // Surface an explicit message if the agent decides to call a tool.
+          // (Managed Agents may emit `input_json_delta` or `tool_use` blocks.)
+          if (
+            event.type === 'content_block_delta' &&
+            event.delta?.type === 'input_json_delta' &&
+            event.delta.partial_json
+          ) {
+            controller.enqueue(
+              encoder.encode(
+                `\n\n_[agent requested tool input: ${event.delta.partial_json}]_\n\n`,
+              ),
+            )
+          }
+        }
+        controller.close()
+      } catch (err) {
+        controller.enqueue(
+          encoder.encode(`\n\n[stream error: ${err.message || err}]`),
+        )
+        controller.close()
+      }
+    },
+    cancel() {
+      // If the client disconnects, abort the upstream Anthropic request.
+      upstream.controller?.abort?.()
+    },
+  })
+
+  return new Response(stream, {
+    status: 200,
+    headers: {
+      'Content-Type': 'text/plain; charset=utf-8',
+      'Cache-Control': 'no-cache, no-transform',
+      'X-Accel-Buffering': 'no',
+    },
+  })
+}
+
+export const config = {
+  path: '/.netlify/functions/agent-proxy',
+}