Enabling tools breaks stream=True on /v1 endpoint, only returns a single complete response

### What is the issue? ### **Issue Description** When enabling `tools`, the Ollama API seems to break streaming (`stream=True`) on the `/v1` endpoint. Instead of returning chunks of data progressively, it waits and sends the entire response as a single block. ### **Steps to Reproduce** 1. Run the following Python script using the OpenAI-compatible API (via the `/v1` endpoint): ```python import openai client = openai.OpenAI(base_url="http://localhost:11434/v1", api_key="ollama") response = client.chat.completions.create( model="qwen2.5:32b", messages=[{"role": "user", "content": "Tell me a story"}], stream=True, tools=[{"type": "function", "function": {"name": "test_tool", "description": "Test tool"}}] ) for chunk in response: print(chunk) ``` 2. Expected behavior: * **Without `tools`**, `stream=True` correctly streams chunks of `choices[0].delta.content`. * **With `tools` enabled**, the response is only returned as a single complete block. ### **Expected Behavior** Even when using `tools`, Ollama should support proper streaming behavior and return incremental chunks instead of buffering the full response. ### **Environment** * **Ollama Version:** (`0.5.10`) * **Operating System:** Linux / Mac / Windows * **API Method:** OpenAI-compatible API (`/v1` endpoint) / `requests` / Ollama Python SDK * **Model Tested:** qwen2.5:32b ### **Additional Information** When testing with `curl` against the `/v1` endpoint, streaming works correctly: ```sh curl -N -X POST http://localhost:11434/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "qwen2.5:32b", "messages": [{"role": "user", "content": "Tell me a story"}], "stream": true }' ``` However, when using Python and enabling `tools`, streaming does not work as expected. ### **Question** * Is this an intentional limitation when using `tools` with `/v1` endpoints? * If so, is there a workaround to allow str…