Create "Tutorials" category for Copilot (#56317)

Co-authored-by: Sarah Schneider <sarahs@github.com>

content/copilot/tutorials/copilot-chat-cookbook/debugging-errors/handling-api-rate-limits.md

@@ -0,0 +1,101 @@
+---
+title: Handling API rate limits
+shortTitle: Handle API rate limits
+intro: '{% data variables.copilot.copilot_chat_short %} can help handle API  rate limits by suggesting code that detects implements retry logic.'
+redirect_from:
+  - /copilot/example-prompts-for-github-copilot-chat/debugging-errors/handling-api-rate-limits
+  - /copilot/copilot-chat-cookbook/debugging-errors/handling-api-rate-limits
+versions:
+  feature: copilot
+category:
+  - Debugging code
+complexity:
+  - Intermediate
+octicon: bug
+topics:
+  - Copilot
+---
+
+When making requests to APIs, it's common to encounter rate limits that restrict the number of calls you can make within a certain time frame. {% data variables.copilot.copilot_chat %} can help you handle these limits by suggesting code to detect rate limit responses and automatically retry requests after a delay.
+
+## Example scenario
+
+The following Python code fetches weather data from an external API. If the API has rate limits, requests may fail when limits are exceeded, and your app may need a way to handle these responses gracefully by implementing retry logic.
+
+```python
+from flask import Flask, request
+import requests
+
+app = Flask(__name__)
+
+WEATHER_API_URL = "https://api.example.com/weather"
+
+@app.route('/get_weather', methods=['GET'])
+def get_weather():
+    city = request.args.get('city')
+    # Simulate an API request to the external weather service
+    response = requests.get(WEATHER_API_URL, params={"city": city})
+    weather_data = response.json()
+
+    return weather_data
+```
+
+## Example prompt
+
+`How can I handle API rate limits within get_weather().`
+
+## Example response
+
+{% data reusables.copilot.example-prompts.response-is-an-example %}
+
+{% data variables.product.prodname_copilot_short %} might suggest code that implements a retry mechanism with exponential backoff to limit the frequency of retry attempts.
+
+For example:
+
+```python
+import requests
+from flask import Flask, request
+from requests.adapters import HTTPAdapter
+from requests.packages.urllib3.util.retry import Retry
+
+app = Flask(__name__)
+
+WEATHER_API_URL = "https://api.example.com/weather"
+
+def requests_retry_session(
+    retries=3,
+    backoff_factor=0.3,
+    status_forcelist=(500, 502, 504),
+    session=None,
+):
+    session = session or requests.Session()
+    retry = Retry(
+        total=retries,
+        read=retries,
+        connect=retries,
+        backoff_factor=backoff_factor,
+        status_forcelist=status_forcelist,
+    )
+    adapter = HTTPAdapter(max_retries=retry)
+    session.mount("http://", adapter)
+    session.mount("https://", adapter)
+    return session
+
+@app.route('/get_weather', methods=['GET'])
+def get_weather():
+    city = request.args.get('city')
+    try:
+        response = requests_retry_session().get(WEATHER_API_URL, params={"city": city})
+        response.raise_for_status()
+        weather_data = response.json()
+    except requests.exceptions.RequestException as e:
+        return {"error": str(e)}, 500
+
+    return weather_data
+```
+
+In this example, {% data variables.product.prodname_copilot_short %}'s suggestions include setting up a retry session that allows the code to automatically retry requests if they fail due to specific status codes (500, 502, 504). The `backoff_factor` gradually increases the delay between retries, helping avoid exceeding the API's rate limit further.
+
+## Further reading
+
+{% data reusables.copilot.example-prompts.further-reading-items %}