init: llm-wiki-web con FastAPI + Ollama

backend/llm.py

@@ -0,0 +1,74 @@
+"""
+Chiamate LLM via Ollama
+"""
+
+import json
+import httpx
+from typing import AsyncGenerator, Optional
+import config
+
+
+async def llm_call(prompt: str, model: Optional[str] = None) -> str:
+    """Chiamata semplice a Ollama - restituisce risposta completa."""
+    model = model or config.OLLAMA_MODEL
+
+    async with httpx.AsyncClient(timeout=120.0) as client:
+        response = await client.post(
+            f"{config.OLLAMA_URL}/api/generate",
+            json={
+                "model": model,
+                "prompt": prompt,
+                "stream": False
+            }
+        )
+        response.raise_for_status()
+        return response.json()["response"]
+
+
+async def llm_stream(prompt: str, model: Optional[str] = None) -> AsyncGenerator[str, None]:
+    """Chiamata streaming a Ollama - yields tokens."""
+    model = model or config.OLLAMA_MODEL
+
+    async with httpx.AsyncClient(timeout=120.0) as client:
+        async with client.stream(
+            "POST",
+            f"{config.OLLAMA_URL}/api/generate",
+            json={
+                "model": model,
+                "prompt": prompt,
+                "stream": True
+            }
+        ) as response:
+            response.raise_for_status()
+            async for line in response.aiter_lines():
+                if line:
+                    try:
+                        data = json.loads(line)
+                        yield data.get("response", "")
+                    except json.JSONDecodeError:
+                        continue
+
+
+async def llm_chat(messages: list, model: Optional[str] = None) -> AsyncGenerator[str, None]:
+    """Chat mode - streaming."""
+    model = model or config.OLLAMA_MODEL
+
+    async with httpx.AsyncClient(timeout=120.0) as client:
+        async with client.stream(
+            "POST",
+            f"{config.OLLAMA_URL}/api/chat",
+            json={
+                "model": model,
+                "messages": messages,
+                "stream": True
+            }
+        ) as response:
+            response.raise_for_status()
+            async for line in response.aiter_lines():
+                if line:
+                    try:
+                        data = json.loads(line)
+                        if "content" in data:
+                            yield data["content"]
+                    except json.JSONDecodeError:
+                        continue