diff --git a/litellm/llms/ollama/completion/transformation.py b/litellm/llms/ollama/completion/transformation.py
index bee4055d0c..823220af4f 100644
--- a/litellm/llms/ollama/completion/transformation.py
+++ b/litellm/llms/ollama/completion/transformation.py
@@ -19,6 +19,7 @@ from litellm.llms.base_llm.chat.transformation import BaseConfig, BaseLLMExcepti
 from litellm.secret_managers.main import get_secret_str
 from litellm.types.llms.openai import AllMessageValues, ChatCompletionUsageBlock
 from litellm.types.utils import (
+    Choices,
     GenericStreamingChunk,
     ModelInfoBase,
     ModelResponse,
@@ -257,12 +258,9 @@ class OllamaConfig(BaseConfig):
         model_response.choices[0].finish_reason = "stop"
         if request_data.get("format", "") == "json":
             try:
-                # Try to parse the response string as JSON
                 parsed_response_content = json.loads(response_json["response"])
 
-                # Check if the parsed content looks like the expected tool call format
                 if isinstance(parsed_response_content, dict) and "name" in parsed_response_content and "arguments" in parsed_response_content:
-                    # Looks like a tool call, proceed as before
                     function_call = parsed_response_content
                     message = litellm.Message(
                         content=None,
@@ -270,32 +268,40 @@ class OllamaConfig(BaseConfig):
                             {
                                 "id": f"call_{str(uuid.uuid4())}",
                                 "function": {
-                                    "name": function_call["name"],  # type: ignore
-                                    "arguments": json.dumps(function_call["arguments"]),  # type: ignore
+                                    "name": function_call["name"],
+                                    "arguments": json.dumps(function_call["arguments"]),
                                 },
                                 "type": "function",
                             }
                         ],
                     )
-                    model_response.choices[0].message = message
-                    model_response.choices[0].finish_reason = "tool_calls"
-                else:
-                    # Parsed JSON doesn't have "name"/"arguments" - treat as plain text
-                    # Fallback: Use the original JSON string as the text content
-                    model_response.choices[0].message.content = response_json["response"]
-                    model_response.choices[0].finish_reason = "stop"
+                    choice = model_response.choices[0]
+                    if isinstance(choice, Choices):
+                        choice.message = message  # type: ignore[attr-defined]
+                        choice.finish_reason = "tool_calls"
+                    else:
+                        choice.message.content = response_json["response"]  # type: ignore[attr-defined]
+                        choice.finish_reason = "stop"
 
+                else:
+                    choice = model_response.choices[0]
+                    if isinstance(choice, Choices):
+                        choice.message.content = response_json["response"]  # type: ignore[attr-defined]
+                        choice.finish_reason = "stop"
             except json.JSONDecodeError:
-                # If response_json["response"] wasn't valid JSON, treat as plain text
-                model_response.choices[0].message.content = response_json["response"]
-                model_response.choices[0].finish_reason = "stop"
+                choice = model_response.choices[0]
+                if isinstance(choice, Choices):
+                    choice.message.content = response_json["response"]  # type: ignore[attr-defined]
+                    choice.finish_reason = "stop"
         else:
-            model_response.choices[0].message.content = response_json["response"]  # type: ignore
+            choice = model_response.choices[0]
+            if isinstance(choice, Choices):
+                choice.message.content = response_json["response"]  # type: ignore[attr-defined]
         model_response.created = int(time.time())
         model_response.model = "ollama/" + model
         _prompt = request_data.get("prompt", "")
         prompt_tokens = response_json.get(
-            "prompt_eval_count", len(encoding.encode(_prompt, disallowed_special=()))  # type: ignore
+            "prompt_eval_count", len(encoding.encode(_prompt))
         )
         completion_tokens = response_json.get(
             "eval_count", len(response_json.get("message", dict()).get("content", ""))