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| 1 | +# Copyright 2025 Google LLC |
| 2 | +# |
| 3 | +# Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +# you may not use this file except in compliance with the License. |
| 5 | +# You may obtain a copy of the License at |
| 6 | +# |
| 7 | +# https://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +# |
| 9 | +# Unless required by applicable law or agreed to in writing, software |
| 10 | +# distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +# See the License for the specific language governing permissions and |
| 13 | +# limitations under the License. |
| 14 | + |
| 15 | + |
| 16 | +def get_bearer_token() -> str: |
| 17 | + """To get project name and bearer token for Google Cloud ADC authentication.""" |
| 18 | + import google.auth |
| 19 | + from google.auth.transport.requests import Request |
| 20 | + |
| 21 | + creds, project_name = google.auth.default( |
| 22 | + scopes=["https://www.googleapis.com/auth/cloud-platform"] |
| 23 | + ) |
| 24 | + auth_req = Request() |
| 25 | + creds.refresh(auth_req) |
| 26 | + bearer_token = creds.token |
| 27 | + return project_name, bearer_token |
| 28 | + |
| 29 | + |
| 30 | +def generate_content() -> str: |
| 31 | + """To generate content from DeepSeek model hosted in Vertex AI Model Garden.""" |
| 32 | + import requests |
| 33 | + import json |
| 34 | + |
| 35 | + project_name, bearer_token = get_bearer_token() |
| 36 | + |
| 37 | + # Read more about the model here: |
| 38 | + # https://cloud.google.com/vertex-ai/generative-ai/docs/maas/deepseek#streaming |
| 39 | + location = "us-central1" |
| 40 | + url = f"https://us-central1-aiplatform.googleapis.com/v1/projects/{project_name}/locations/{location}/endpoints/openapi/chat/completions" |
| 41 | + |
| 42 | + # Set the request header |
| 43 | + headers = { |
| 44 | + "Authorization": f"Bearer {bearer_token}", |
| 45 | + "Content-Type": "application/json", |
| 46 | + } |
| 47 | + data = { |
| 48 | + "model": "deepseek-ai/deepseek-r1-0528-maas", |
| 49 | + # "stream": False, # As per the bash script |
| 50 | + "messages": [{"role": "user", "content": "Why is the sky blue?"}], |
| 51 | + } |
| 52 | + # Send the request |
| 53 | + response = requests.post(url, headers=headers, data=json.dumps(data)) |
| 54 | + print(f"Request Response: {response.status_code}") |
| 55 | + # Example response: |
| 56 | + # Request Response: 200 |
| 57 | + |
| 58 | + # Load the response data |
| 59 | + model_response = json.loads(response.content) |
| 60 | + print(model_response["model"]) |
| 61 | + # Example response: |
| 62 | + # 'deepseek-ai/deepseek-r1-0528-maas' |
| 63 | + print(model_response["usage"]) |
| 64 | + # Example response: |
| 65 | + # { |
| 66 | + # 'completion_tokens': 3294, |
| 67 | + # 'prompt_tokens': 10, |
| 68 | + # 'total_tokens': 3304 |
| 69 | + # } |
| 70 | + |
| 71 | + # Print user input & Model response |
| 72 | + for each in data["messages"]: |
| 73 | + print(f"{each['role']}>>> {each['content']}") |
| 74 | + for each in model_response["choices"]: |
| 75 | + print(f"{each['message']['role']}>>> {each['message']['content']}") |
| 76 | + # Example response: |
| 77 | + # user>>> Why is the sky blue? |
| 78 | + # Example response: |
| 79 | + # assistant>>> <think> |
| 80 | + # Okay, the user is asking why the sky is blue. |
| 81 | + # ... |
| 82 | + # </think> |
| 83 | + |
| 84 | + # The sky appears blue due to a phenomenon called **Rayleigh scattering**, |
| 85 | + # which occurs when sunlight passes through Earth's atmosphere and |
| 86 | + # ... |
| 87 | + return response.content |
| 88 | + |
| 89 | + |
| 90 | +if __name__ == "__main__": |
| 91 | + generate_content() |
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