feat(llm): autopull ollama models (#2019)

* chore: update ollama (llm)

* feat: allow to autopull ollama models

* fix: mypy

* chore: install always ollama client

* refactor: check connection and pull ollama method to utils

* docs: update ollama config with autopulling info

private_gpt/utils/ollama.py

@@ -0,0 +1,32 @@
+import logging
+
+try:
+    from ollama import Client  # type: ignore
+except ImportError as e:
+    raise ImportError(
+        "Ollama dependencies not found, install with `poetry install --extras llms-ollama or embeddings-ollama`"
+    ) from e
+
+logger = logging.getLogger(__name__)
+
+
+def check_connection(client: Client) -> bool:
+    try:
+        client.list()
+        return True
+    except Exception as e:
+        logger.error(f"Failed to connect to Ollama: {e!s}")
+        return False
+
+
+def pull_model(client: Client, model_name: str, raise_error: bool = True) -> None:
+    try:
+        installed_models = [model["name"] for model in client.list().get("models", {})]
+        if model_name not in installed_models:
+            logger.info(f"Pulling model {model_name}. Please wait...")
+            client.pull(model_name)
+            logger.info(f"Model {model_name} pulled successfully")
+    except Exception as e:
+        logger.error(f"Failed to pull model {model_name}: {e!s}")
+        if raise_error:
+            raise e