Close local release-quality gaps and reconcile workplan status

Assistant: codex
Assistant-Model: gpt-6-astra
Assistant-Session: 01a0e332-3365-77c0-8491-084e9ea33ac1

llm_connect/gemini.py

@@ -3,14 +3,14 @@ Google Gemini adapter — calls the Generative Language REST API directly.
 """
 
 import time
-from typing import Optional, Dict, Any
+from typing import Any
 
-from llm_connect.adapter import LLMAdapter
-from llm_connect.models import RunConfig, LLMResponse
-from llm_connect.config import resolve_api_key, find_project_root
 from llm_connect._http import post_json
 from llm_connect._payload import merge_gemini_model_params
+from llm_connect.adapter import LLMAdapter
+from llm_connect.config import find_project_root, resolve_api_key
 from llm_connect.exceptions import LLMConfigurationError
+from llm_connect.models import LLMResponse, RunConfig
 
 _DEFAULT_MODEL = "gemini-2.5-flash"
 _API_BASE = "https://generativelanguage.googleapis.com/v1beta"
@@ -24,9 +24,9 @@ class GeminiAdapter(LLMAdapter):
 
     def __init__(
         self,
-        model: Optional[str] = None,
-        api_key: Optional[str] = None,
-        system_prompt: Optional[str] = None,
+        model: str | None = None,
+        api_key: str | None = None,
+        system_prompt: str | None = None,
         **_kwargs: Any,
     ):
         self._model = model or _DEFAULT_MODEL
@@ -53,7 +53,7 @@ class GeminiAdapter(LLMAdapter):
         model = self._model
 
         # Build Gemini request
-        contents: list[Dict[str, Any]] = []
+        contents: list[dict[str, Any]] = []
         if self._system_prompt:
             contents.append({
                 "role": "user",
@@ -68,7 +68,7 @@ class GeminiAdapter(LLMAdapter):
             "parts": [{"text": prompt}],
         })
 
-        payload: Dict[str, Any] = {
+        payload: dict[str, Any] = {
             "contents": contents,
             "generationConfig": {
                 "temperature": config.temperature,