postprocess: Remove Gemini-specific generation_config

The only thing it carried was a boilerplate system instruction,
which the per-request prompts don't need.

Author: thedataking

c2rust-postprocess/postprocess/__init__.py

@@ -9,19 +9,14 @@
 from collections.abc import Sequence
 from pathlib import Path
 
-from google.genai import types
-
 from postprocess.cache import DirectoryCache, FrozenCache
 from postprocess.exclude_list import IdentifierExcludeList
 from postprocess.models import api_key_from_env, get_model_by_id
 from postprocess.models.gpt import GPTModel
 from postprocess.models.mock import MockGenerativeModel
 from postprocess.transforms import get_transform_by_id
 from postprocess.transforms.base import TransformError
-from postprocess.transforms.comments import (
-    SYSTEM_INSTRUCTION,
-    AbstractGenerativeModel,
-)
+from postprocess.transforms.comments import AbstractGenerativeModel
 from postprocess.utils import existing_file
 
 DEFAULT_LLM_MODEL = "gemini-3.5-flash"
@@ -169,15 +164,7 @@ def get_model(model_id: str) -> AbstractGenerativeModel:
         )
         return MockGenerativeModel()
 
-    # TODO: remove google specific API bits
-    return get_model_by_id(
-        model_id,
-        generation_config={
-            "system_instruction": types.Content(
-                role="system", parts=[types.Part.from_text(text=SYSTEM_INSTRUCTION)]
-            )
-        },
-    )
+    return get_model_by_id(model_id)
 
 
 def main(argv: Sequence[str] | None = None):

c2rust-postprocess/postprocess/models/__init__.py

@@ -14,10 +14,10 @@ def api_key_from_env(model_id: str) -> str | None:
     return None
 
 
-def get_model_by_id(id: str, generation_config: dict | None) -> AbstractGenerativeModel:
+def get_model_by_id(id: str) -> AbstractGenerativeModel:
     """Factory function to get model instance by ID."""
     if id.startswith("gemini"):
-        return GoogleGenerativeModel(id=id, generation_config=generation_config)
+        return GoogleGenerativeModel(id=id)
     elif id.startswith("gpt"):
         return GPTModel(id=id)
 

c2rust-postprocess/postprocess/models/gemini.py

@@ -17,13 +17,9 @@ def __init__(
         self,
         id: str = "gemini-2.5-flash",
         api_key: str | None = None,
-        generation_config: dict[str, Any] | None = None,
     ):
         super().__init__(id)
         self.client = genai.Client(api_key=api_key)
-        if generation_config is None:
-            generation_config = {}
-        self._generation_config = generation_config
 
     def generate_with_tools(
         self,
@@ -40,7 +36,6 @@ def generate_with_tools(
                 disable=False,
                 maximum_remote_calls=max_tool_loops,  # Enforces the loop limit natively
             ),
-            **self._generation_config,
         )
 
         response = self.client.models.generate_content(