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# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import requests
from typing import Optional, Union, List
from auth import create_credentials, get_access_token_refresh_if_needed
from cache import cache
_endpoint_url = os.environ.get("GCP_MEDGEMMA_ENDPOINT")
# Create credentials
secret_key_json = os.environ.get("GCP_MEDGEMMA_SERVICE_ACCOUNT_KEY")
medgemma_credentials = create_credentials(secret_key_json)
# https://cloud.google.com/vertex-ai/docs/reference/rest/v1beta1/projects.locations.endpoints.chat/completions
@cache.memoize()
def medgemma_get_text_response(
messages: List[dict],
temperature: float = 0.1,
max_tokens: int = 4096,
stream: bool = False,
top_p: Optional[float] = None,
seed: Optional[int] = None,
stop: Optional[Union[List[str], str]] = None,
frequency_penalty: Optional[float] = None,
presence_penalty: Optional[float] = None,
model: str = "tgi"
) -> str:
"""
Makes a chat completion request to the configured LLM API (Vertex AI/OpenAI-compatible).
"""
headers = {
"Authorization": f"Bearer {get_access_token_refresh_if_needed(medgemma_credentials)}",
"Content-Type": "application/json",
}
payload = {
"messages": messages,
"max_tokens": max_tokens
}
if temperature is not None:
payload["temperature"] = temperature
if top_p is not None:
payload["top_p"] = top_p
if seed is not None:
payload["seed"] = seed
if stop is not None:
payload["stop"] = stop
if frequency_penalty is not None:
payload["frequency_penalty"] = frequency_penalty
if presence_penalty is not None:
payload["presence_penalty"] = presence_penalty
response = requests.post(
_endpoint_url,
headers=headers,
json=payload,
stream=stream,
timeout=60
)
try:
response.raise_for_status()
return response.json()["choices"][0]["message"]["content"]
except requests.exceptions.JSONDecodeError:
print(
f"Error: Failed to decode JSON from MedGemma. "
f"Status: {response.status_code}, Response: {response.text}"
)
raise
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