diff --git a/poetry.lock b/poetry.lock
index 896f23f7..bcd86782 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -13,87 +13,87 @@ files = [
 
 [[package]]
 name = "aiohttp"
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+version = "3.11.10"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.9"
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 sniffio = ">=1.1"
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 [package.extras]
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 trio = ["trio (>=0.26.1)"]
 
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@@ -1142,13 +1143,13 @@ socks = ["socksio (==1.*)"]
 
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 [[package]]
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 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
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 [package.dependencies]
@@ -1389,12 +1391,12 @@ proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "
 
 [[package]]
 name = "llama-cpp-python"
-version = "0.3.2"
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 optional = false
 python-versions = ">=3.8"
 files = [
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 python-versions = ">=3.10"
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+    {file = "ruff-0.8.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b402ddee3d777683de60ff76da801fa7e5e8a71038f57ee53e903afbcefdaa58"},
+    {file = "ruff-0.8.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:705832cd7d85605cb7858d8a13d75993c8f3ef1397b0831289109e953d833d29"},
+    {file = "ruff-0.8.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:32096b41aaf7a5cc095fa45b4167b890e4c8d3fd217603f3634c92a541de7248"},
+    {file = "ruff-0.8.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e769083da9439508833cfc7c23e351e1809e67f47c50248250ce1ac52c21fb93"},
+    {file = "ruff-0.8.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5fe716592ae8a376c2673fdfc1f5c0c193a6d0411f90a496863c99cd9e2ae25d"},
+    {file = "ruff-0.8.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:81c148825277e737493242b44c5388a300584d73d5774defa9245aaef55448b0"},
+    {file = "ruff-0.8.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:d261d7850c8367704874847d95febc698a950bf061c9475d4a8b7689adc4f7fa"},
+    {file = "ruff-0.8.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:1ca4e3a87496dc07d2427b7dd7ffa88a1e597c28dad65ae6433ecb9f2e4f022f"},
+    {file = "ruff-0.8.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:729850feed82ef2440aa27946ab39c18cb4a8889c1128a6d589ffa028ddcfc22"},
+    {file = "ruff-0.8.2-py3-none-win32.whl", hash = "sha256:ac42caaa0411d6a7d9594363294416e0e48fc1279e1b0e948391695db2b3d5b1"},
+    {file = "ruff-0.8.2-py3-none-win_amd64.whl", hash = "sha256:2aae99ec70abf43372612a838d97bfe77d45146254568d94926e8ed5bbb409ea"},
+    {file = "ruff-0.8.2-py3-none-win_arm64.whl", hash = "sha256:fb88e2a506b70cfbc2de6fae6681c4f944f7dd5f2fe87233a7233d888bad73e8"},
+    {file = "ruff-0.8.2.tar.gz", hash = "sha256:b84f4f414dda8ac7f75075c1fa0b905ac0ff25361f42e6d5da681a465e0f78e5"},
 ]
 
 [[package]]
@@ -2971,5 +2988,5 @@ type = ["pytest-mypy"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.11"
-content-hash = "d7ac818796eaf7b7ebe5a9363f0b374153c2a5ff84144e7d260fe52c1360835f"
+python-versions = ">=3.11,<4.0"
+content-hash = "94b487fcd928df67eb947226953d642739e147819219b47f5bf9f93d0614d6d0"
diff --git a/pyproject.toml b/pyproject.toml
index b91981fc..98edca9b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ readme = "README.md"
 authors = []
 
 [tool.poetry.dependencies]
-python = ">=3.11"
+python = ">=3.11,<4.0"
 click = ">=8.1.0"
 PyYAML = ">=6.0.1"
 fastapi = ">=0.115.5"
@@ -19,6 +19,7 @@ cryptography = "^44.0.0"
 sqlalchemy = "^2.0.28"
 greenlet = "^3.0.3"
 aiosqlite = "^0.20.0"
+ollama = ">=0.4.4"
 
 [tool.poetry.group.dev.dependencies]
 pytest = ">=7.4.0"
diff --git a/src/codegate/codegate_logging.py b/src/codegate/codegate_logging.py
index acb9c17c..9a27a4f8 100644
--- a/src/codegate/codegate_logging.py
+++ b/src/codegate/codegate_logging.py
@@ -75,6 +75,7 @@ def setup_logging(
         structlog.processors.CallsiteParameterAdder(
             [
                 structlog.processors.CallsiteParameter.MODULE,
+                structlog.processors.CallsiteParameter.PATHNAME,
             ]
         ),
     ]
diff --git a/src/codegate/config.py b/src/codegate/config.py
index cd92bad8..e65d0534 100644
--- a/src/codegate/config.py
+++ b/src/codegate/config.py
@@ -19,7 +19,7 @@
     "openai": "https://api.openai.com/v1",
     "anthropic": "https://api.anthropic.com/v1",
     "vllm": "http://localhost:8000",  # Base URL without /v1 path
-    "ollama": "http://localhost:11434/api",  # Default Ollama server URL
+    "ollama": "http://localhost:11434",  # Default Ollama server URL
 }
 
 
diff --git a/src/codegate/llm_utils/llmclient.py b/src/codegate/llm_utils/llmclient.py
index c2a6d140..a8bcdd38 100644
--- a/src/codegate/llm_utils/llmclient.py
+++ b/src/codegate/llm_utils/llmclient.py
@@ -2,7 +2,7 @@
 from typing import Any, Dict, Optional
 
 import structlog
-from litellm import acompletion
+from litellm import acompletion, completion
 
 from codegate.config import Config
 from codegate.inference import LlamaCppInferenceEngine
@@ -112,18 +112,27 @@ async def _complete_litellm(
             if not base_url.endswith("/v1"):
                 base_url = f"{base_url}/v1"
         else:
-            model = f"{provider}/{model}"
+            if not model.startswith(f"{provider}/"):
+                model = f"{provider}/{model}"
 
         try:
-            response = await acompletion(
-                model=model,
-                messages=request["messages"],
-                api_key=api_key,
-                temperature=request["temperature"],
-                base_url=base_url,
-                response_format=request["response_format"],
-            )
-
+            if provider == "ollama":
+                response = completion(
+                    model=model,
+                    messages=request["messages"],
+                    api_key=api_key,
+                    temperature=request["temperature"],
+                    base_url=base_url,
+                )
+            else:
+                response = await acompletion(
+                    model=model,
+                    messages=request["messages"],
+                    api_key=api_key,
+                    temperature=request["temperature"],
+                    base_url=base_url,
+                    response_format=request["response_format"],
+                )
             content = response["choices"][0]["message"]["content"]
 
             # Clean up code blocks if present
@@ -133,5 +142,5 @@ async def _complete_litellm(
             return json.loads(content)
 
         except Exception as e:
-            logger.error(f"LiteLLM completion failed: {e}")
+            logger.error(f"LiteLLM completion failed {provider}/{model} ({content}): {e}")
             return {}
diff --git a/src/codegate/pipeline/output.py b/src/codegate/pipeline/output.py
index 2cd37a56..70a25601 100644
--- a/src/codegate/pipeline/output.py
+++ b/src/codegate/pipeline/output.py
@@ -134,7 +134,6 @@ async def process_stream(
 
                 # Yield all processed chunks
                 for c in current_chunks:
-                    logger.debug(f"Yielding chunk {c}")
                     self._store_chunk_content(c)
                     self._context.buffer.clear()
                     yield c
diff --git a/src/codegate/providers/base.py b/src/codegate/providers/base.py
index 53e68344..d9d04566 100644
--- a/src/codegate/providers/base.py
+++ b/src/codegate/providers/base.py
@@ -214,17 +214,18 @@ async def complete(
           provider-specific format
         """
         normalized_request = self._input_normalizer.normalize(data)
-        streaming = data.get("stream", False)
+        streaming = normalized_request.get("stream", False)
         prompt_db = await self._db_recorder.record_request(
             normalized_request, is_fim_request, self.provider_route_name
         )
 
+        prompt_db_id = prompt_db.id if prompt_db is not None else None
         input_pipeline_result = await self._run_input_pipeline(
             normalized_request,
             api_key,
             data.get("base_url"),
             is_fim_request,
-            prompt_id=prompt_db.id,
+            prompt_id=prompt_db_id,
         )
         if input_pipeline_result.response:
             await self._db_recorder.record_alerts(input_pipeline_result.context.alerts_raised)
@@ -239,7 +240,6 @@ async def complete(
         # Execute the completion and translate the response
         # This gives us either a single response or a stream of responses
         # based on the streaming flag
-        logger.info(f"Executing completion with {provider_request}")
         model_response = await self._completion_handler.execute_completion(
             provider_request, api_key=api_key, stream=streaming, is_fim_request=is_fim_request
         )
@@ -259,9 +259,7 @@ async def complete(
 
         model_response = self._db_recorder.record_output_stream(prompt_db, model_response)
         pipeline_output_stream = await self._run_output_stream_pipeline(
-            input_pipeline_result.context,
-            model_response,
-            is_fim_request=is_fim_request,
+            input_pipeline_result.context, model_response, is_fim_request=is_fim_request
         )
         return self._cleanup_after_streaming(pipeline_output_stream, input_pipeline_result.context)
 
diff --git a/src/codegate/providers/ollama/adapter.py b/src/codegate/providers/ollama/adapter.py
index 9e847774..a0407c9d 100644
--- a/src/codegate/providers/ollama/adapter.py
+++ b/src/codegate/providers/ollama/adapter.py
@@ -1,13 +1,15 @@
-from typing import Any, Dict
+import uuid
+from datetime import datetime, timezone
+from typing import Any, AsyncIterator, Dict, Union
 
-from litellm import ChatCompletionRequest
+from litellm import ChatCompletionRequest, ModelResponse
+from litellm.types.utils import Delta, StreamingChoices
+from ollama import ChatResponse, Message
 
 from codegate.providers.normalizer.base import ModelInputNormalizer, ModelOutputNormalizer
 
 
 class OllamaInputNormalizer(ModelInputNormalizer):
-    def __init__(self):
-        super().__init__()
 
     def normalize(self, data: Dict) -> ChatCompletionRequest:
         """
@@ -15,23 +17,17 @@ def normalize(self, data: Dict) -> ChatCompletionRequest:
         """
         # Make a copy of the data to avoid modifying the original and normalize the message content
         normalized_data = self._normalize_content_messages(data)
+        normalized_data["model"] = data.get("model", "").strip()
         normalized_data["options"] = data.get("options", {})
 
-        # Add any context or system prompt if provided
-        if "context" in data:
-            normalized_data["context"] = data["context"]
-        if "system" in data:
-            normalized_data["system"] = data["system"]
+        if "prompt" in normalized_data:
+            normalized_data["messages"] = [
+                {"content": normalized_data.pop("prompt"), "role": "user"}
+            ]
 
-        # Format the model name
-        if "model" in normalized_data:
-            normalized_data["model"] = data["model"].strip()
-
-        # Ensure the base_url ends with /api if provided
-        if "base_url" in normalized_data:
-            base_url = normalized_data["base_url"].rstrip("/")
-            if not base_url.endswith("/api"):
-                normalized_data["base_url"] = f"{base_url}/api"
+        # In Ollama force the stream to be True. Continue is not setting this parameter and
+        # most of our functionality is for streaming completions.
+        normalized_data["stream"] = True
 
         return ChatCompletionRequest(**normalized_data)
 
@@ -42,18 +38,98 @@ def denormalize(self, data: ChatCompletionRequest) -> Dict:
         return data
 
 
+class OLlamaToModel(AsyncIterator[ModelResponse]):
+    def __init__(self, ollama_response: AsyncIterator[ChatResponse]):
+        self.ollama_response = ollama_response
+        self._aiter = ollama_response.__aiter__()
+
+    def __aiter__(self):
+        return self
+
+    async def __anext__(self):
+        try:
+            chunk = await self._aiter.__anext__()
+            if not isinstance(chunk, ChatResponse):
+                return chunk
+
+            finish_reason = None
+            role = "assistant"
+
+            # Convert the datetime object to a timestamp in seconds
+            datetime_obj = datetime.fromisoformat(chunk.created_at)
+            timestamp_seconds = int(datetime_obj.timestamp())
+
+            if chunk.done:
+                finish_reason = "stop"
+                role = None
+
+            model_response = ModelResponse(
+                id=f"ollama-chat-{str(uuid.uuid4())}",
+                created=timestamp_seconds,
+                model=chunk.model,
+                object="chat.completion.chunk",
+                choices=[
+                    StreamingChoices(
+                        finish_reason=finish_reason,
+                        index=0,
+                        delta=Delta(content=chunk.message.content, role=role),
+                        logprobs=None,
+                    )
+                ],
+            )
+            return model_response
+        except StopAsyncIteration:
+            raise StopAsyncIteration
+
+
+class ModelToOllama(AsyncIterator[ChatResponse]):
+
+    def __init__(self, normalized_reply: AsyncIterator[ModelResponse]):
+        self.normalized_reply = normalized_reply
+        self._aiter = normalized_reply.__aiter__()
+
+    def __aiter__(self):
+        return self
+
+    async def __anext__(self) -> Union[ChatResponse]:
+        try:
+            chunk = await self._aiter.__anext__()
+            if not isinstance(chunk, ModelResponse):
+                return chunk
+            # Convert the timestamp to a datetime object
+            datetime_obj = datetime.fromtimestamp(chunk.created, tz=timezone.utc)
+            created_at = datetime_obj.isoformat()
+
+            message = chunk.choices[0].delta.content
+            done = False
+            if chunk.choices[0].finish_reason == "stop":
+                done = True
+                message = ""
+
+            # Convert the model response to an Ollama response
+            ollama_response = ChatResponse(
+                model=chunk.model,
+                created_at=created_at,
+                done=done,
+                message=Message(content=message, role="assistant"),
+            )
+            return ollama_response
+        except StopAsyncIteration:
+            raise StopAsyncIteration
+
+
 class OllamaOutputNormalizer(ModelOutputNormalizer):
     def __init__(self):
         super().__init__()
 
     def normalize_streaming(
         self,
-        model_reply: Any,
-    ) -> Any:
+        model_reply: AsyncIterator[ChatResponse],
+    ) -> AsyncIterator[ModelResponse]:
         """
         Pass through Ollama response
         """
-        return model_reply
+        return OLlamaToModel(model_reply)
 
     def normalize(self, model_reply: Any) -> Any:
         """
@@ -68,10 +144,9 @@ def denormalize(self, normalized_reply: Any) -> Any:
         return normalized_reply
 
     def denormalize_streaming(
-        self,
-        normalized_reply: Any,
-    ) -> Any:
+        self, normalized_reply: AsyncIterator[ModelResponse]
+    ) -> AsyncIterator[ChatResponse]:
         """
         Pass through Ollama response
         """
-        return normalized_reply
+        return ModelToOllama(normalized_reply)
diff --git a/src/codegate/providers/ollama/completion_handler.py b/src/codegate/providers/ollama/completion_handler.py
index 4cc05737..d5ed5c59 100644
--- a/src/codegate/providers/ollama/completion_handler.py
+++ b/src/codegate/providers/ollama/completion_handler.py
@@ -1,48 +1,40 @@
-import asyncio
-import json
-from typing import Any, AsyncIterator, Optional
+from typing import AsyncIterator, Optional, Union
 
-import httpx
 import structlog
 from fastapi.responses import JSONResponse, StreamingResponse
 from litellm import ChatCompletionRequest
+from ollama import AsyncClient, ChatResponse, GenerateResponse
 
+from codegate.config import Config
 from codegate.providers.base import BaseCompletionHandler
 
 logger = structlog.get_logger("codegate")
 
 
-async def get_async_ollama_response(client, request_url, data):
+async def ollama_stream_generator(
+    stream: AsyncIterator[ChatResponse],
+) -> AsyncIterator[str]:
+    """OpenAI-style SSE format"""
     try:
-        async with client.stream("POST", request_url, json=data, timeout=30.0) as response:
-            response.raise_for_status()
-            async for line in response.aiter_lines():
-                if line.strip():
-                    try:
-                        # Parse the response to ensure it's valid JSON
-                        response_data = json.loads(line)
-                        # Add newline to ensure proper streaming
-                        yield line.encode("utf-8") + b"\n"
-                        # If this is the final response, break
-                        if response_data.get("done", False):
-                            break
-                        # Small delay to prevent overwhelming the client
-                        await asyncio.sleep(0.01)
-                    except json.JSONDecodeError:
-                        yield json.dumps({"error": "Invalid JSON response"}).encode("utf-8") + b"\n"
-                        break
-                    except Exception as e:
-                        yield json.dumps({"error": str(e)}).encode("utf-8") + b"\n"
-                        break
+        async for chunk in stream:
+            try:
+                yield f"{chunk.model_dump_json()}\n\n"
+            except Exception as e:
+                yield f"{str(e)}\n\n"
     except Exception as e:
-        yield json.dumps({"error": f"Stream error: {str(e)}"}).encode("utf-8") + b"\n"
+        yield f"{str(e)}\n\n"
 
 
-class OllamaCompletionHandler(BaseCompletionHandler):
+class OllamaShim(BaseCompletionHandler):
+
     def __init__(self):
-        self.client = httpx.AsyncClient(timeout=30.0)
-        # Depends if the request is Chat or FIM
-        self._url_mapping = {False: "/chat", True: "/generate"}
+        config = Config.get_config()
+        if config is None:
+            provided_urls = {}
+        else:
+            provided_urls = config.provider_urls
+        base_url = provided_urls.get("ollama", "http://localhost:11434/")
+        self.client = AsyncClient(host=base_url, timeout=300)
 
     async def execute_completion(
         self,
@@ -50,19 +42,29 @@ async def execute_completion(
         api_key: Optional[str],
         stream: bool = False,
         is_fim_request: bool = False,
-    ) -> AsyncIterator:
+    ) -> Union[ChatResponse, GenerateResponse]:
         """Stream response directly from Ollama API."""
-        request_path = self._url_mapping[is_fim_request]
-        request_url = f"{request['base_url']}{request_path}"
-        return get_async_ollama_response(self.client, request_url, request)
+        if is_fim_request:
+            prompt = request["messages"][0]["content"]
+            response = await self.client.generate(
+                model=request["model"], prompt=prompt, stream=stream, options=request["options"]
+            )
+        else:
+            response = await self.client.chat(
+                model=request["model"],
+                messages=request["messages"],
+                stream=stream,
+                options=request["options"],
+            )
+        return response
 
-    def _create_streaming_response(self, stream: AsyncIterator[Any]) -> StreamingResponse:
+    def _create_streaming_response(self, stream: AsyncIterator[ChatResponse]) -> StreamingResponse:
         """
         Create a streaming response from a stream generator. The StreamingResponse
         is the format that FastAPI expects for streaming responses.
         """
         return StreamingResponse(
-            stream,
+            ollama_stream_generator(stream),
             media_type="application/x-ndjson",
             headers={
                 "Cache-Control": "no-cache",
@@ -70,5 +72,7 @@ def _create_streaming_response(self, stream: AsyncIterator[Any]) -> StreamingRes
             },
         )
 
-    def _create_json_response(self, response: Any) -> JSONResponse:
-        raise NotImplementedError("JSON Reponse in Ollama not implemented yet.")
+    def _create_json_response(
+        self, response: Union[GenerateResponse, ChatResponse]
+    ) -> JSONResponse:
+        return JSONResponse(content=response.model_dump_json(), status_code=200)
diff --git a/src/codegate/providers/ollama/provider.py b/src/codegate/providers/ollama/provider.py
index b3b7b35c..d36f4110 100644
--- a/src/codegate/providers/ollama/provider.py
+++ b/src/codegate/providers/ollama/provider.py
@@ -3,12 +3,11 @@
 
 from fastapi import Request
 
-from codegate.config import Config
 from codegate.pipeline.base import SequentialPipelineProcessor
 from codegate.pipeline.output import OutputPipelineProcessor
 from codegate.providers.base import BaseProvider
 from codegate.providers.ollama.adapter import OllamaInputNormalizer, OllamaOutputNormalizer
-from codegate.providers.ollama.completion_handler import OllamaCompletionHandler
+from codegate.providers.ollama.completion_handler import OllamaShim
 
 
 class OllamaProvider(BaseProvider):
@@ -19,7 +18,7 @@ def __init__(
         output_pipeline_processor: Optional[OutputPipelineProcessor] = None,
         fim_output_pipeline_processor: Optional[OutputPipelineProcessor] = None,
     ):
-        completion_handler = OllamaCompletionHandler()
+        completion_handler = OllamaShim()
         super().__init__(
             OllamaInputNormalizer(),
             OllamaOutputNormalizer(),
@@ -28,13 +27,6 @@ def __init__(
             fim_pipeline_processor,
             output_pipeline_processor,
         )
-        # Get the Ollama base URL
-        config = Config.get_config()
-        if config is None:
-            provided_urls = {}
-        else:
-            provided_urls = config.provider_urls
-        self.base_url = provided_urls.get("ollama", "http://localhost:11434/api")
 
     @property
     def provider_route_name(self) -> str:
@@ -54,9 +46,7 @@ def _setup_routes(self):
         async def create_completion(request: Request):
             body = await request.body()
             data = json.loads(body)
-            if "base_url" not in data or not data["base_url"]:
-                data["base_url"] = self.base_url
 
             is_fim_request = self._is_fim_request(request, data)
-            stream = await self.complete(data, None, is_fim_request=is_fim_request)
+            stream = await self.complete(data, api_key=None, is_fim_request=is_fim_request)
             return self._completion_handler.create_response(stream)
diff --git a/tests/providers/ollama/test_ollama_adapter.py b/tests/providers/ollama/test_ollama_adapter.py
index 7c3728c1..82c40bcd 100644
--- a/tests/providers/ollama/test_ollama_adapter.py
+++ b/tests/providers/ollama/test_ollama_adapter.py
@@ -18,21 +18,6 @@ def test_normalize_ollama_input():
     normalized = normalizer.normalize(data)
     assert normalized["model"] == "codellama:7b-instruct"  # Space removed
 
-    # Test base URL handling
-    data = {"model": "llama2", "base_url": "http://localhost:11434"}
-    normalized = normalizer.normalize(data)
-    assert normalized["base_url"] == "http://localhost:11434/api"
-
-    # Test base URL already has /api
-    data = {"model": "llama2", "base_url": "http://localhost:11434/api"}
-    normalized = normalizer.normalize(data)
-    assert normalized["base_url"] == "http://localhost:11434/api"
-
-    # Test base URL with trailing slash
-    data = {"model": "llama2", "base_url": "http://localhost:11434/"}
-    normalized = normalizer.normalize(data)
-    assert normalized["base_url"] == "http://localhost:11434/api"
-
 
 def test_normalize_native_ollama_input():
     """Test input normalization for native Ollama API requests."""
@@ -58,7 +43,6 @@ def test_normalize_native_ollama_input():
         "base_url": "http://localhost:11434",
     }
     normalized = normalizer.normalize(data)
-    assert normalized["base_url"] == "http://localhost:11434/api"
 
 
 def test_normalize_ollama_message_format():
@@ -108,7 +92,7 @@ def test_normalize_ollama_generate_format():
     }
     normalized = normalizer.normalize(data)
     assert normalized["model"] == "codellama:7b-instruct"
-    assert normalized["prompt"] == "def hello_world"
+    assert normalized["messages"][0]["content"] == "def hello_world"
     assert normalized["options"]["temperature"] == 0.7
 
     # Test generate request with context
@@ -128,11 +112,6 @@ def test_normalize_ollama_output():
     """Test output normalization for Ollama."""
     normalizer = OllamaOutputNormalizer()
 
-    # Test streaming response passthrough
-    response = {"message": {"role": "assistant", "content": "test"}}
-    normalized = normalizer.normalize_streaming(response)
-    assert normalized == response
-
     # Test regular response passthrough
     response = {"message": {"role": "assistant", "content": "test"}}
     normalized = normalizer.normalize(response)
@@ -147,8 +126,3 @@ def test_normalize_ollama_output():
     response = {"message": {"role": "assistant", "content": "test"}}
     denormalized = normalizer.denormalize(response)
     assert denormalized == response
-
-    # Test streaming denormalize passthrough
-    response = {"message": {"role": "assistant", "content": "test"}}
-    denormalized = normalizer.denormalize_streaming(response)
-    assert denormalized == response
diff --git a/tests/providers/ollama/test_ollama_completion_handler.py b/tests/providers/ollama/test_ollama_completion_handler.py
new file mode 100644
index 00000000..4e0908d0
--- /dev/null
+++ b/tests/providers/ollama/test_ollama_completion_handler.py
@@ -0,0 +1,54 @@
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+from litellm import ChatCompletionRequest
+from ollama import ChatResponse, GenerateResponse, Message
+
+from codegate.providers.ollama.completion_handler import OllamaShim
+
+
+@pytest.fixture
+def mock_client():
+    client = MagicMock()
+    client.generate = AsyncMock(return_value=GenerateResponse(response="FIM response"))
+    client.chat = AsyncMock(
+        return_value=ChatResponse(message=Message(content="Chat response", role="assistant"))
+    )
+    return client
+
+
+@pytest.fixture
+def handler(mock_client):
+    ollama_shim = OllamaShim()
+    ollama_shim.client = mock_client
+    return ollama_shim
+
+
+@pytest.fixture
+def chat_request():
+    return ChatCompletionRequest(
+        model="test-model", messages=[{"role": "user", "content": "Hello"}], options={}
+    )
+
+
+@pytest.mark.asyncio
+async def test_execute_completion_is_fim_request(handler, chat_request):
+    chat_request["messages"][0]["content"] = "FIM prompt"
+    await handler.execute_completion(chat_request, api_key=None, stream=False, is_fim_request=True)
+    handler.client.generate.assert_called_once_with(
+        model=chat_request["model"],
+        prompt="FIM prompt",
+        stream=False,
+        options=chat_request["options"],
+    )
+
+
+@pytest.mark.asyncio
+async def test_execute_completion_not_is_fim_request(handler, chat_request):
+    await handler.execute_completion(chat_request, api_key=None, stream=False, is_fim_request=False)
+    handler.client.chat.assert_called_once_with(
+        model=chat_request["model"],
+        messages=chat_request["messages"],
+        stream=False,
+        options=chat_request["options"],
+    )
diff --git a/tests/providers/ollama/test_ollama_provider.py b/tests/providers/ollama/test_ollama_provider.py
deleted file mode 100644
index ed10e7fd..00000000
--- a/tests/providers/ollama/test_ollama_provider.py
+++ /dev/null
@@ -1,140 +0,0 @@
-"""Tests for Ollama provider."""
-
-from unittest.mock import AsyncMock, patch
-
-import pytest
-from fastapi import FastAPI
-from fastapi.testclient import TestClient
-
-from codegate.providers.ollama.provider import OllamaProvider
-
-
-class MockConfig:
-    def __init__(self):
-        self.provider_urls = {"ollama": "http://localhost:11434"}
-
-
-@pytest.fixture
-def app():
-    """Create FastAPI app with Ollama provider."""
-    app = FastAPI()
-    provider = OllamaProvider(None)
-    app.include_router(provider.get_routes())
-    return app
-
-
-@pytest.fixture
-def test_client(app):
-    """Create test client."""
-    return TestClient(app)
-
-
-async def async_iter(items):
-    """Helper to create async iterator."""
-    for item in items:
-        yield item
-
-
-@patch("codegate.config.Config.get_config", return_value=MockConfig())
-def test_ollama_chat(mock_config, test_client):
-    """Test chat endpoint."""
-    data = {
-        "model": "codellama:7b-instruct",
-        "messages": [{"role": "user", "content": "Hello"}],
-        "options": {"temperature": 0.7},
-    }
-
-    with patch("httpx.AsyncClient.stream") as mock_stream:
-        # Mock the streaming response
-        mock_response = AsyncMock()
-        mock_response.raise_for_status = AsyncMock()
-        mock_response.aiter_lines = AsyncMock(
-            return_value=async_iter(
-                [
-                    '{"response": "Hello!", "done": false}',
-                    '{"response": " How can I help?", "done": true}',
-                ]
-            )
-        )
-        mock_stream.return_value.__aenter__.return_value = mock_response
-
-        response = test_client.post(
-            "/ollama/api/chat", json=data, headers={"Authorization": "Bearer test-key"}
-        )
-
-        assert response.status_code == 200
-        assert response.headers["content-type"] == "application/x-ndjson"
-
-        # Verify the request to Ollama
-        mock_stream.assert_called_once()
-        call_args = mock_stream.call_args
-        assert call_args[0][0] == "POST"
-        assert call_args[0][1].endswith("/api/chat")
-        sent_data = call_args[1]["json"]
-        assert sent_data["model"] == "codellama:7b-instruct"
-        assert sent_data["messages"] == data["messages"]
-        assert sent_data["options"] == data["options"]
-
-
-@patch("codegate.config.Config.get_config", return_value=MockConfig())
-def test_ollama_generate(mock_config, test_client):
-    """Test generate endpoint."""
-    data = {
-        "model": "codellama:7b-instruct",
-        "prompt": "def hello_world",
-        "options": {"temperature": 0.7},
-        "context": [1, 2, 3],
-        "system": "You are a helpful assistant",
-    }
-
-    with patch("httpx.AsyncClient.stream") as mock_stream:
-        # Mock the streaming response
-        mock_response = AsyncMock()
-        mock_response.raise_for_status = AsyncMock()
-        mock_response.aiter_lines = AsyncMock(
-            return_value=async_iter(
-                [
-                    '{"response": "():\\n", "done": false}',
-                    '{"response": "    print(\\"Hello, World!\\")", "done": true}',
-                ]
-            )
-        )
-        mock_stream.return_value.__aenter__.return_value = mock_response
-
-        response = test_client.post(
-            "/ollama/api/generate", json=data, headers={"Authorization": "Bearer test-key"}
-        )
-
-        assert response.status_code == 200
-        assert response.headers["content-type"] == "application/x-ndjson"
-
-        # Verify the request to Ollama
-        mock_stream.assert_called_once()
-        call_args = mock_stream.call_args
-        assert call_args[0][0] == "POST"
-        assert call_args[0][1].endswith("/api/generate")
-        sent_data = call_args[1]["json"]
-        assert sent_data["model"] == "codellama:7b-instruct"
-        assert sent_data["prompt"] == "def hello_world"
-        assert sent_data["options"] == data["options"]
-        assert sent_data["context"] == data["context"]
-        assert sent_data["system"] == data["system"]
-
-
-@patch("codegate.config.Config.get_config", return_value=MockConfig())
-def test_ollama_error_handling(mock_config, test_client):
-    """Test error handling."""
-    data = {"model": "invalid-model"}
-
-    with patch("httpx.AsyncClient.stream") as mock_stream:
-        # Mock an error response
-        mock_stream.side_effect = Exception("Model not found")
-
-        response = test_client.post(
-            "/ollama/api/generate", json=data, headers={"Authorization": "Bearer test-key"}
-        )
-
-        assert response.status_code == 200  # Errors are returned in the stream
-        content = response.content.decode().strip()
-        assert "error" in content
-        assert "Model not found" in content