add ollama chat cli

pyproject.toml

@@ -11,6 +11,7 @@ dependencies = [
     "httpx>=0.28.1",
     "langchain-azure-ai>=0.1.4",
     "langchain-community>=0.3.27",
+    "langchain-ollama>=0.3.6",
     "langchain-openai>=0.3.28",
     "langchain-text-splitters>=0.3.9",
     "langgraph>=0.6.2",

scripts/ollama_operator.py

@@ -0,0 +1,57 @@
+import logging
+
+import typer
+from dotenv import load_dotenv
+
+from template_langgraph.llms.ollamas import OllamaWrapper
+from template_langgraph.loggers import get_logger
+
+# Initialize the Typer application
+app = typer.Typer(
+    add_completion=False,
+    help="Ollama operator CLI",
+)
+
+# Set up logging
+logger = get_logger(__name__)
+
+
+@app.command()
+def run(
+    query: str = typer.Option(
+        "What is the weather like today?",
+        "--query",
+        "-q",
+        help="Query to run against the Ollama model",
+    ),
+    verbose: bool = typer.Option(
+        False,
+        "--verbose",
+        "-v",
+        help="Enable verbose output",
+    ),
+):
+    # Set up logging
+    if verbose:
+        logger.setLevel(logging.DEBUG)
+
+    logger.info("Running...")
+    chat_model = OllamaWrapper().chat_model
+    response = chat_model.invoke(
+        input=query,
+    )
+    logger.debug(
+        response.model_dump_json(
+            indent=2,
+            exclude_none=True,
+        )
+    )
+    logger.info(f"Output: {response.content}")
+
+
+if __name__ == "__main__":
+    load_dotenv(
+        override=True,
+        verbose=True,
+    )
+    app()

template_langgraph/llms/ollamas.py

@@ -0,0 +1,31 @@
+from functools import lru_cache
+
+from langchain_ollama import ChatOllama
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    ollama_model_chat: str = "phi3:latest"
+
+    model_config = SettingsConfigDict(
+        env_file=".env",
+        env_ignore_empty=True,
+        extra="ignore",
+    )
+
+
+@lru_cache
+def get_ollama_settings() -> Settings:
+    return Settings()
+
+
+class OllamaWrapper:
+    def __init__(self, settings: Settings = None):
+        if settings is None:
+            settings = get_ollama_settings()
+
+        self.chat_model = ChatOllama(
+            model=settings.ollama_model_chat,
+            temperature=0.0,
+            streaming=True,
+        )