Create src/llm/callLLM.js

src/llm/callLLM.js

@@ -0,0 +1,57 @@
+import { getProviderConfig } from "./providers.js";
+
+export async function callLLM({ provider, model, prompt }) {
+  const cfg = getProviderConfig(provider, model);
+
+  let body;
+
+  switch (cfg.name) {
+    case "gemini":
+      body = {
+        contents: [{ parts: [{ text: prompt }] }]
+      };
+      break;
+
+    case "dashscope":
+      body = {
+        model: cfg.model,
+        input: { prompt }
+      };
+      break;
+
+    default:
+      body = {
+        model: cfg.model,
+        messages: [
+          { role: "system", content: "You are a market research analyst." },
+          { role: "user", content: prompt }
+        ],
+        temperature: 0.4
+      };
+  }
+
+  const res = await fetch(cfg.baseUrl, {
+    method: "POST",
+    headers: cfg.headers,
+    body: JSON.stringify(body)
+  });
+
+  const text = await res.text();
+
+  if (!res.ok) {
+    throw new Error(`LLM error ${res.status}: ${text}`);
+  }
+
+  const json = JSON.parse(text);
+
+  // Normalize output
+  if (cfg.name === "gemini") {
+    return json.candidates?.[0]?.content?.parts?.[0]?.text || "";
+  }
+
+  if (cfg.name === "dashscope") {
+    return json.output?.text || "";
+  }
+
+  return json.choices?.[0]?.message?.content || "";
+}