diff --git a/ai_scientist/llm.py b/ai_scientist/llm.py
index 27c9eee8..40a3dd42 100644
--- a/ai_scientist/llm.py
+++ b/ai_scientist/llm.py
@@ -5,8 +5,8 @@
 import anthropic
 import backoff
 import openai
-import google.generativeai as genai
-from google.generativeai.types import GenerationConfig
+import google.genai as genai
+from google.genai.types import GenerateContentConfig
 
 MAX_NUM_TOKENS = 4096
 
@@ -258,19 +258,19 @@ def get_response_from_llm(
         content = response.choices[0].message.content
         new_msg_history = new_msg_history + [{"role": "assistant", "content": content}]
     elif "gemini" in model:
-        new_msg_history = msg_history + [{"role": "user", "content": msg}]
-        response = client.chat.completions.create(
-            model=model,
-            messages=[
-                {"role": "system", "content": system_message},
-                *new_msg_history,
-            ],
-            temperature=temperature,
-            max_tokens=MAX_NUM_TOKENS,
-            n=1,
+        # The `google-genai` library manages history differently.
+        chat = client.chats.create(model=model, history=msg_history)
+        response = chat.send_message(
+            msg,
+            config=GenerateContentConfig(
+                system_instruction=system_message,
+                max_output_tokens=MAX_NUM_TOKENS,
+                temperature=temperature,
+            )
         )
-        content = response.choices[0].message.content
-        new_msg_history = new_msg_history + [{"role": "assistant", "content": content}]
+        content = response.text
+        # The new history is the chat object's history
+        new_msg_history = chat.get_history()
     else:
         raise ValueError(f"Model {model} not supported.")
 
@@ -342,10 +342,9 @@ def create_client(model):
             base_url="https://openrouter.ai/api/v1"
         ), "meta-llama/llama-3.1-405b-instruct"
     elif "gemini" in model:
-        print(f"Using OpenAI API with {model}.")
-        return openai.OpenAI(
+        print(f"Using Google GenAI API with {model}.")
+        return genai.client.Client(
             api_key=os.environ["GEMINI_API_KEY"],
-            base_url="https://generativelanguage.googleapis.com/v1beta/openai/"
         ), model
     else:
         raise ValueError(f"Model {model} not supported.")
diff --git a/launch_scientist.py b/launch_scientist.py
index 2fe7a49c..e601c536 100644
--- a/launch_scientist.py
+++ b/launch_scientist.py
@@ -204,6 +204,8 @@ def do_idea(
             main_model = Model("deepseek/deepseek-reasoner")
         elif model == "llama3.1-405b":
             main_model = Model("openrouter/meta-llama/llama-3.1-405b-instruct")
+        elif "gemini" in model:
+            main_model = Model(f"gemini/{model}")
         else:
             main_model = Model(model)
         coder = Coder.create(
@@ -240,6 +242,8 @@ def do_idea(
                 main_model = Model("deepseek/deepseek-reasoner")
             elif model == "llama3.1-405b":
                 main_model = Model("openrouter/meta-llama/llama-3.1-405b-instruct")
+            elif "gemini" in model:
+                main_model = Model(f"gemini/{model}")
             else:
                 main_model = Model(model)
             coder = Coder.create(
@@ -360,7 +364,7 @@ def do_idea(
     with open(osp.join(base_dir, "ideas.json"), "w") as f:
         json.dump(ideas, f, indent=4)
 
-    novel_ideas = [idea for idea in ideas if idea["novel"]]
+    novel_ideas = ideas if args.skip_novelty_check else [idea for idea in ideas if idea["novel"]]
     # novel_ideas = list(reversed(novel_ideas))
 
     if args.parallel > 0:
diff --git a/requirements.txt b/requirements.txt
index 8971848d..f42f61ea 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,7 +3,9 @@ anthropic
 aider-chat
 backoff
 openai
+# aider-chat still uses the old SDK
 google-generativeai
+google-genai
 # Viz
 matplotlib
 pypdf