Add requirements for python-dotenv and requests

openrouter-api/README.md

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+# How to Use the OpenRouter API to Access Multiple AI Models via Python
+
+This folder contains supporting materials for the Real Python tutorial [How to Use the OpenRouter API to Access Multiple AI Models via Python](https://realpython.com/openrouter-api/).

openrouter-api/ask_auto_model.py

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+import os
+import requests
+
+OPENROUTER_API_URL = "https://openrouter.ai/api/v1/chat/completions"
+
+api_key = os.getenv("OPENROUTER_API_KEY")
+
+headers = {
+    "Authorization": f"Bearer {api_key}",
+    "Content-Type": "application/json"
+}
+payload = {
+    "model": "openrouter/auto",
+    "messages": [{"role": "user", "content": "Say hello in one sentence."}]
+}
+response = requests.post(OPENROUTER_API_URL, headers=headers, json=payload)
+data = response.json()
+
+print(f"Model: {data.get('model')}")
+print(f"Response: {data['choices'][0]['message']['content']}")

openrouter-api/ask_specific_model.py

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+import os
+import requests
+
+OPENROUTER_API_URL = "https://openrouter.ai/api/v1/chat/completions"
+
+api_key = os.getenv("OPENROUTER_API_KEY")
+
+headers = {
+    "Authorization": f"Bearer {api_key}",
+    "Content-Type": "application/json"
+}
+payload = {
+    "model": "openai/gpt-3.5-turbo",
+    "messages": [{"role": "user", "content": "Say hello in one sentence."}]
+}
+response = requests.post(OPENROUTER_API_URL, headers=headers, json=payload)
+data = response.json()
+
+if model := data.get('model'):
+    print(f"Model: {model} by {data['provider']}")
+    print(f"Response: {data['choices'][0]['message']['content']}")
+else:
+    print("No model found in the response.")
+    print(f"Response: {data}")

openrouter-api/fallback_models.py

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+import os
+import requests
+
+OPENROUTER_API_URL = "https://openrouter.ai/api/v1/chat/completions"
+
+api_key = os.getenv("OPENROUTER_API_KEY")
+
+def make_request_with_fallback(models_list, messages):
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json"
+    }
+    payload = {"models": models_list, "messages": messages}
+
+    return requests.post(OPENROUTER_API_URL, headers=headers, json=payload)
+
+response = make_request_with_fallback(
+    models_list=[
+        "openai/gpt-5",
+        "openai/gpt-3.5-turbo",
+        "openai/gpt-3.5-turbo-16k"
+    ],
+    messages=[{"role": "user", "content": "What is the capital of France?"}]
+)
+
+data = response.json()
+if model := data.get('model'):
+    print(f"Model: {model} by {data['provider']}")
+    print(f"Response: {data['choices'][0]['message']['content']}")
+else:
+    print("No model found in the response.")
+    print(f"Response: {data}")

openrouter-api/get_models.py

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+import os
+import requests
+
+OPENROUTER_MODELS_URL = "https://openrouter.ai/api/v1/models"
+
+api_key = os.getenv("OPENROUTER_API_KEY")
+
+headers = {"Authorization": f"Bearer {api_key}"}
+response = requests.get(OPENROUTER_MODELS_URL, headers=headers)
+data = response.json()
+
+models = data.get("data", [])
+print(f"Success! Found {len(models)} models via OpenRouter.")
+print(f"Examples: {', '.join(m['id'] for m in models[:5])}")

openrouter-api/requirements.txt

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+requests

openrouter-api/route_requests.py

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+import os
+import requests
+
+OPENROUTER_API_URL = "https://openrouter.ai/api/v1/chat/completions"
+
+api_key = os.getenv("OPENROUTER_API_KEY")
+
+def make_request(model, messages, provider_config=None):
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json"
+    }
+    payload = {"model": model, "messages": messages}
+    if provider_config:
+        payload["provider"] = provider_config
+
+    response = requests.post(OPENROUTER_API_URL, headers=headers, json=payload)
+    response.raise_for_status()
+    return response.json()
+
+data = make_request(
+    model="meta-llama/llama-3.1-70b-instruct",
+    messages=[{"role": "user", "content": "Explain AI in one sentence."}],
+    provider_config={"sort": "price"}
+)
+
+if model := data.get('model'):
+    print(f"Model: {model} by {data['provider']}")
+    print(f"Response: {data['choices'][0]['message']['content']}")
+else:
+    print("No model found in the response.")
+    print(f"Response: {data}")