Llm exercise solution prototype

.env.example

@@ -3,6 +3,7 @@ REACT_APP_SENTRY_DSN=''
 REACT_APP_SENTRY_ENV='local'
 PUBLIC_URL='http://localhost:3011'
 ASSETS_URL='http://localhost:3011'
+REACT_APP_GEMINI_API_KEY=''
 REACT_APP_GOOGLE_TAG_MANAGER_ID=''
 REACT_APP_API_ENDPOINT='http://localhost:3009'
 REACT_APP_PLAUSIBLE_DATA_DOMAIN=''

src/utils/aiClient.js

@@ -0,0 +1,53 @@
+/**
+ * List available Gemini models for the given API key.
+ * @param {string} apiKey - Your Gemini API key
+ * @returns {Promise<Object>} The response from the ListModels endpoint
+ */
+export async function listGeminiModels(apiKey) {
+  const url = "https://generativelanguage.googleapis.com/v1beta/models";
+  const response = await fetch(url, {
+    method: "GET",
+    headers: {
+      "Content-Type": "application/json",
+      "x-goog-api-key": apiKey,
+    },
+  });
+  if (!response.ok) {
+    throw new Error(
+      `ListModels failed: ${response.status} ${response.statusText}`,
+    );
+  }
+  return response.json();
+}
+// src/utils/aiClient.js
+
+// Helper utility to connect to Gemini (Google AI) and send a request. Easily swappable for other models.
+export async function sendGeminiRequest({
+  prompt,
+  apiKey,
+  model = "gemini-2.5-pro",
+  options = {},
+}) {
+  const url = `https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent`;
+  const body = {
+    contents: [{ parts: [{ text: prompt }] }],
+    ...options,
+  };
+  const response = await fetch(url, {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json",
+      "x-goog-api-key": apiKey,
+    },
+    body: JSON.stringify(body),
+  });
+  if (!response.ok) {
+    throw new Error(
+      `AI request failed: ${response.status} ${response.statusText}`,
+    );
+  }
+  const data = await response.json();
+  return data;
+}
+
+// To switch models, just change the 'model' argument or the API URL logic above.

src/utils/prompts/propose_solution_prompt.txt

@@ -0,0 +1,15 @@
+You are an expert computer science teacher and will be given a student task and piece of student python code written in response to the task.
+
+You will return a correct solution to the task based on the student's code in the form of a git diff, making as few changes to the student code as possible.
+
+Don't change the whitespace unless necessary for the code to run.
+
+You will also provide an explanation of why the student needs to make the changes to fulfil the task. The explanation must not be longer than 30 words.
+
+Task:
+
+{{task}}
+
+Student code:
+
+{{student_code}}