renamed llm package

src/llm_connector/__init__.py

@@ -0,0 +1,3 @@
+from . llm import get_response, LLMBackend, LLMMessage
+
+__all__ = ['get_response', 'LLMBackend', 'LLMMessage']

src/llm_connector/llm.py

@@ -0,0 +1,127 @@
+import json
+from typing import Union, AsyncGenerator, TypedDict, Literal, List
+import logging
+
+import httpx
+
+logger = logging.getLogger(__name__)
+
+
+class LLMBackend(TypedDict):
+    base_url: str
+    api_token: str
+    model: str
+
+
+class LLMMessage(TypedDict):
+    role: Literal["system", "assistant", "user"]
+    content: str
+
+
+async def get_response(backend: LLMBackend, messages: List[LLMMessage], stream: bool = False) -> Union[str, AsyncGenerator[str, None]]:
+
+    try:
+        # Prepare the request parameters
+        request_params = {
+            "model": backend["model"],
+            "messages": messages,
+            "stream": stream,
+        }
+        # Prepare headers
+        headers = {
+            "Content-Type": "application/json"
+        }
+        if len(backend["api_token"]):
+            # Prepare headers
+            headers['Authorization'] = f"Bearer {backend['api_token']}"
+
+        print(request_params)
+        print(headers)
+
+        # Create httpx client
+        async with httpx.AsyncClient(timeout=30.0) as client:
+            url = f"{backend['base_url']}/chat/completions"
+
+            if stream:
+                # Stream the response
+                async with client.stream(
+                    "POST",
+                    url,
+                    headers=headers,
+                    json=request_params,
+                ) as response:
+                    response.raise_for_status()
+
+                    async for line in response.aiter_lines():
+                        line = line.strip()
+
+                        # Skip empty lines and non-data lines
+                        if not line or not line.startswith("data: "):
+                            continue
+
+                        # Remove "data: " prefix
+                        data = line[6:]
+
+                        # Check for stream end
+                        if data == "[DONE]":
+                            break
+
+                        try:
+                            # Parse JSON chunk
+                            chunk_data = json.loads(data)
+
+                            if "choices" in chunk_data and chunk_data["choices"]:
+                                choice = chunk_data["choices"][0]
+                                delta = choice.get("delta", {})
+
+                                # Handle reasoning content (for models that support it)
+                                if "reasoning_content" in delta and delta["reasoning_content"]:
+                                    yield {'reasoning': delta["reasoning_content"]}  # type: ignore
+
+                                # Handle regular content
+                                if "content" in delta and delta["content"]:
+                                    yield {'content': delta["content"]}  # type: ignore
+
+                        except json.JSONDecodeError:
+                            # Skip malformed JSON chunks
+                            continue
+            else:
+                # Non-streaming response
+                response = await client.post(
+                    url,
+                    headers=headers,
+                    json=request_params,
+                )
+                response.raise_for_status()
+
+                response_data = response.json()
+                content = ""
+
+                if "choices" in response_data and response_data["choices"]:
+                    message = response_data["choices"][0].get("message", {})
+                    content = message.get("content", "")
+
+                # FIX: Yield as dictionary to match streaming format
+                if content:
+                    yield {'content': content}  # type: ignore
+
+    except httpx.HTTPStatusError as e:
+        error_msg = f"HTTP error getting LLM response: {e.response.status_code} - {e.response.text}"
+        logger.error(error_msg)
+        yield ""
+
+    except httpx.RequestError as e:
+        error_msg = f"Request error getting LLM response: {str(e)}"
+        logger.error(error_msg)
+        yield ""
+
+    except Exception as e:
+        error_msg = f"Error getting LLM response: {str(e)}"
+        logger.error(error_msg)
+        yield ""
+
+
+async def _empty_async_generator() -> AsyncGenerator[str, None]:
+    """Helper function for empty async generator"""
+    if False:
+        yield ""

src/main.py

@@ -11,7 +11,7 @@ from dotenv import load_dotenv
 
 from nicegui import ui
 
-from lib import get_response, LLMBackend, LLMMessage
+from llm_connector import get_response, LLMBackend, LLMMessage
 load_dotenv()